Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home

User menu

  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
  • Alerts
  • Log in

Advanced Search

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds

AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Research ArticleADULT BRAIN
Open Access

Can MRI Visual Assessment Differentiate the Variants of Primary-Progressive Aphasia?

S.A. Sajjadi, N. Sheikh-Bahaei, J. Cross, J.H. Gillard, D. Scoffings and P.J. Nestor
American Journal of Neuroradiology May 2017, 38 (5) 954-960; DOI: https://doi.org/10.3174/ajnr.A5126
S.A. Sajjadi
aFrom the Department of Neurology (S.A.S.), University of California, Irvine, Irvine, California
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for S.A. Sajjadi
N. Sheikh-Bahaei
bDepartment of Radiology (N.S.-B., J.H.G.), University of Cambridge, Cambridge, UK
cDepartment of Radiology (N.S.-.B., J.C., J.H.G., D.S.), Cambridge University Hospitals, Cambridge, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for N. Sheikh-Bahaei
J. Cross
cDepartment of Radiology (N.S.-.B., J.C., J.H.G., D.S.), Cambridge University Hospitals, Cambridge, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for J. Cross
J.H. Gillard
bDepartment of Radiology (N.S.-B., J.H.G.), University of Cambridge, Cambridge, UK
cDepartment of Radiology (N.S.-.B., J.C., J.H.G., D.S.), Cambridge University Hospitals, Cambridge, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for J.H. Gillard
D. Scoffings
cDepartment of Radiology (N.S.-.B., J.C., J.H.G., D.S.), Cambridge University Hospitals, Cambridge, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for D. Scoffings
P.J. Nestor
dGerman Center for Neurodegenerative Diseases (P.J.N.), Magdeburg, Germany.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for P.J. Nestor
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

Abstract

BACKGROUND AND PURPOSE: Primary-progressive aphasia is a clinically and pathologically heterogeneous condition. Nonfluent, semantic, and logopenic are the currently recognized clinical variants. The recommendations for the classification of primary-progressive aphasia have advocated variant-specific patterns of atrophy. The aims of the present study were to evaluate the sensitivity and specificity of the proposed imaging criteria and to assess the intra- and interrater reporting agreements.

MATERIALS AND METHODS: The cohort comprised 51 patients with a root diagnosis of primary-progressive aphasia, 25 patients with typical Alzheimer disease, and 26 matched control participants. Group-level analysis (voxel-based morphometry) confirmed the proposed atrophy patterns for the 3 syndromes. The individual T1-weighted anatomic images were reported by 3 senior neuroradiologists.

RESULTS: We observed a dichotomized pattern of high sensitivity (92%) and specificity (93%) for the proposed atrophy pattern of semantic-variant primary-progressive aphasia and low sensitivity (21% for nonfluent-variant primary-progressive aphasia and 43% for logopenic-variant primary-progressive aphasia) but high specificity (91% for nonfluent-variant primary-progressive aphasia and 95% for logopenic-variant primary-progressive aphasia) in other primary-progressive aphasia variants and Alzheimer disease (sensitivity 43%, specificity 92%). MR imaging was least sensitive for the diagnosis of nonfluent-variant primary-progressive aphasia. Intrarater agreement analysis showed mean κ values above the widely accepted threshold of 0.6 (mean, 0.63 ± 0.16). Pair-wise interobserver agreement outcomes, however, were well below this threshold in 5 of the 6 possible interrater contrasts (mean, 0.41 ± 0.09).

CONCLUSIONS: While the group-level results were in precise agreement with the recommendations, semantic-variant primary-progressive aphasia was the only subtype for which the proposed recommendations were both sensitive and specific at an individual level.

ABBREVIATIONS:

AD
Alzheimer disease
lvPPA
logopenic-variant PPA
nfvPPA
nonfluent-variant PPA
PPA
primary-progressive aphasia
svPPA
semantic-variant PPA

Primary-progressive aphasia (PPA) is a clinically and pathologically heterogeneous condition characterized by insidious onset and gradual worsening of language due to degeneration of brain language areas. Clinical heterogeneity, compounded by the evolution of signs and symptoms, makes accurate classification of patients a challenging task. Making a reliable clinical diagnosis, on the other hand, is important. Despite lack of a one-to-one relationship between the clinical diagnosis and the underlying pathology, previous clinicopathologic series have identified probabilistic associations among the 3 recognized clinical presentations of PPA and certain pathologies. There are established associations between semantic-variant PPA (svPPA) and frontotemporal lobar degeneration–TAR DNA binding protein 43 (TDP-43); nonfluent-variant PPA (nfvPPA) and frontotemporal lobar degeneration-tau; and logopenic-variant PPA (lvPPA) and Alzheimer pathology.1⇓⇓⇓–5

The recommendations on clinical subtyping of PPA have proposed that clinical classification can be supported by imaging according to the pattern of regional atrophy or metabolic impairment.6 Left posterior frontoinsular atrophy in nfvPPA, anterior temporal atrophy in svPPA, and left posterior peri-Sylvian or parietal atrophy in lvPPA are the recommended atrophy patterns. Remarkably, these imaging recommendations are derived from studies that either used group-averaged data—which though highly replicated,7⇓⇓–10 are not necessarily valid for single-patient diagnosis—or were based on observed atrophy in convenience samples9⇓⇓⇓⇓–14 without qualification of sensitivity, specificity, or reliability. Little is known about whether individual patients, as opposed to groups, fulfilling the clinical criteria for these variants reliably present with the prescribed patterns of atrophy and whether these patterns have sufficient reliability to be exploited to arrive at an accurate syndromic diagnosis.

The aims of the present study were the following: 1) to evaluate the utility of the proposed imaging criteria for the diagnosis of PPA variants by contrasting the patterns of atrophy in individual patients with PPA, as reported by senior neuroradiologists, with the recommendations from the criteria; and 2) to assess the neuroradiologists' intra- and interrater agreement, which, in turn, would be an indication of the robustness of the observed abnormalities.

Materials and Methods

Participants

The cohort comprised 51 patients with a root diagnosis of PPA, 25 patients with mild typical Alzheimer disease (AD) as a neurodegenerative control group, and 26 healthy age- and education-matched control participants. The breakdown of the subjects with PPA based on clinical variants was 21 with svPPA, 14 with nfvPPA, 14 with mixed PPA, and 2 with lvPPA. Clinical diagnoses were made in accordance with the published criteria for the diagnosis of PPA15 and probable Alzheimer disease.16 The diagnosis of PPA variants was based on a quantitative application of the consensus recommendations6 as detailed elsewhere.17 No patients had pedigrees to suggest an autosomal dominant genetic cause. The mixed-PPA group, however, was designated “mixed” on the basis of strict application of the proposed clinical criteria. The patients almost certainly corresponded, however, to what others have designated lvPPA in that they had neither svPPA nor nfvPPA, and they had the same group-level atrophy pattern as in previous lvPPA cohorts.18 Furthermore, some researchers have proposed to diagnose lvPPA through a hierarchic decision tree in which the key feature of this group is that they are neither svPPA nor nfvPPA.19 Applying such an algorithm to the present mixed cases would also have them classified as lvPPA. The subjects with mixed PPA in this study should, therefore, be considered analogous to those with lvPPA and are referred to henceforth as such.

The study was approved by the institutional review board of Cambridge University hospitals, UK.

Neuropsychological Battery and Connected Speech Analysis

All patients underwent comprehensive neuropsychological and connected speech assessment before imaging, full details of which have been published previously.20 The On-line Table provides a summary of some of these data.

Imaging

Image Acquisition.

Study participants were scanned within an average of 1.6 ± 0.8 months from cognitive assessment. All MR imaging was performed on the same Magnetum Trio 3T system (Siemens, Erlangen, Germany). T1-weighted anatomic images were acquired by using 3D MPRAGE with the following imaging parameters: TR/TE/TI/flip angle = 2300/2.86/900 ms/9°, 144 sections, 192 × 192 matrix dimensions, and 1.25 × 1.25 × 1.25 mm3 voxel size. Receiver bandwidth and echo spacing were 240 Hz/pixel and 6.7 ms, respectively.

Data Processing and Group-Level Data Analysis

All obtained T1 volumes were preprocessed as reported previously.21 Preprocessing and warping procedures need reasonable initial estimates; hence, the origin of each structural volume was set manually to the anterior commissure before preprocessing. All volumes were then spatially normalized and segmented by using the unified segmentation model in statistical parametric mapping 5 (SPM5) (http://www.fil.ion.ucl.ac.uk/spm/software/spm5/).22 The segments were also modulated to compensate for volumetric differences introduced into the warped images. Finally, gray matter segments were smoothed by using an 8-mm full width at half maximum isotropic Gaussian kernel. Total intracranial volumes were calculated by using the automated SPM technique as described elsewhere,23 and the obtained values, along with age, were fed into the statistical models as nuisance covariates. Following these steps, a 2-sample t test implemented in SPM522 contrasted the gray matter volumes of the patient groups against those in controls. The statistical maps were thresholded at P < .01, corrected for multiple comparisons (false discovery rate = .01).

Visual Reporting of Individual Scans

Three senior neuroradiologists who were blinded to the clinical diagnoses of the study participants separately reported all unprocessed T1 sequences displayed by using the FMRIB Software Library (FSL, Version 4.1.2; http://www.fmrib.ox.ac.uk/fsl).24 Thirty-five scans (n = 7 for each diagnostic group including controls) were duplicated, bringing the total number of scans to 137 to assess intrarater agreement.

The neuroradiologists were asked to report the scans for the presence and patterns of disproportionate regional or global atrophy in 2 stages. In the first stage, the outcome of which was used for calculations of intra- and interrater agreement and sensitivity, the radiologists were asked to report the scans in their own preferred styles. Subsequent calculations for this stage were based on the reported lobar distribution of the abnormalities. “Global atrophy” and “no atrophy” were also accepted as valid entries. In agreement with the published recommendations for AD25 and PPA,6 the following lobar distributions were deemed consistent with the syndromic PPA variants and Alzheimer disease: temporal lobe atrophy for svPPA; left frontal or left frontotemporal atrophy for nfvPPA; left temporal, left parietal, or left temporoparietal atrophy for lvPPA; and temporal, parietal, or temporoparietal atrophy for typical AD. Rating a scan as showing “global atrophy” was not deemed acceptable for any of the syndromic variants of PPA or for AD because the reporting radiologists had not observed “disproportionate” atrophy of a target region. In the second stage, the outcome of which was the basis for specificity and separate sensitivity and agreement calculations, however, the raters were specifically asked to comment on whether there was “disproportionate” left posterior frontoinsular atrophy (indicative of nfvPPA), anterior temporal lobe atrophy (indicative of svPPA), left posterior peri-Sylvian or parietal lobe atrophy (indicative of lvPPA), and medial temporal or parietal atrophy (indicative of typical AD). Instructions for this second stage were only given after stage 1 was completed to ensure that the initial ratings were not biased by expected atrophy patterns.

Statistical Considerations

Predictive Analytics Software (PASW, Version 18; IBM, Armonk, New York) and SPM5 were used for statistical analysis of the data. One-way ANOVA with a 2-tailed significance level of .05 was used to compare the demographic and neuropsychological measures. A pair-wise κ was used to assess the intra- and interobserver agreement in the reports of atrophy. Group-level comparisons of the imaging data were made with a 2-sample t test implemented in SPM5, with age and total intracranial volume included as nuisance covariates. Group-level results are reported at a false discovery rate–corrected P < .01.

Results

Demographic data for all participant groups are summarized in Table 1. Neuropsychological and language assessment results are presented in the On-line Table.

View this table:
  • View inline
  • View popup
Table 1:

Demographic markers for all participant groups

Figure 1 demonstrates the group-level distribution of atrophy in representative and identical coronal, axial, and sagittal sections for 3 PPA variants and AD. At a group level, svPPA was characterized by atrophy in the anterior temporal lobes; nfvPPA, by atrophy in left posterior frontal and insula and left basal ganglia; lvPPA, by left posterior temporoparietal atrophy; and typical AD showed bilateral hippocampal and patchy temporoparietal atrophy.

Fig 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 1.

Group-level patterns of atrophy in identical axial, sagittal, and coronal sections of the brain. Images are displayed in neurologic orientation. Asterisks demonstrate the section most representative for the particular groups. All comparisons were made at false discovery rate–corrected P < .01.

Fig 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 2.

Representative sections of MR images of 6 patients with PPA (2 per subtype) with comparable Mini-Mental State Examination scores. Both patients with svPPA were reported by all neuroradiologists as having left anterior temporal atrophy. None of the patients with nfvPPA or lvPPA in the study had unanimous reports of the prescribed atrophy patterns (left posterior frontoinsular and posterior peri-Sylvian/inferior parietal, respectively). Images are displayed in neurologic orientation.

Concerning the single-subject visual reporting outcomes, sensitivity calculations based on the lobar distribution of the abnormalities revealed almost perfect results in the svPPA group (mean sensitivity, 98% ± 2.9%) but low sensitivity of the imaging markers in the other PPA variants and the typical AD group (Table 2). The proposed imaging markers were least sensitive for the diagnosis of nfvPPA (mean, 29% ± 21%). Sensitivity values for the lvPPA and typical AD groups were modest at 57% and 53%, respectively. Sensitivity figures based on the prescribed patterns of atrophy revealed slightly lower values compared with the above figures but a similar pattern overall: high sensitivity for svPPA and low values for the other study groups (Table 2). Specificity figures were, however, consistently high for all diagnostic groups with no discernible difference (Table 3).

View this table:
  • View inline
  • View popup
Table 2:

Sensitivity of the proposed imaging markers for the diagnosis of PPA variants and typical AD based on the lobar distribution of the atrophy and specific consensus recommendations

View this table:
  • View inline
  • View popup
Table 3:

Specificity of the proposed imaging markers for the diagnosis of PPA variants and typical AD based on the specific consensus recommendations

Tables 4 and 5 provide values for intra- and interobserver agreement for all diagnostic groups. Intraobserver agreement values for the reported lobar distribution of atrophy were consistently above the widely accepted26 threshold of 0.6 (mean, 0.75 ± 0.18), indicating substantial agreement. The recommendation-based values, however, fell below the 0.6 threshold for 2 of the 3 reporting radiologists (mean, 0.63 ± 0.16). In the pair-wise interobserver agreement values, while κ was just below the 0.6 threshold (mean, 0.56 ± 0.08) for the reported lobar distribution of atrophy (first round), it dropped considerably to 0.41 ± 0.09 for the recommendation-based outcomes; 0.4 is generally considered the minimum threshold for moderate agreement.26

View this table:
  • View inline
  • View popup
Table 4:

Intraobserver agreement for the reported lobar distribution of abnormalities and recommendations

View this table:
  • View inline
  • View popup
Table 5:

Interobserver agreement for the reported lobar distribution of abnormalities and recommendations

Discussion

This study provides an objective assessment of the utility of the proposed MR imaging markers in supporting the diagnosis of various PPA variants. The group-level atrophy patterns were in precise agreement with the proposed imaging criteria for different PPA subtypes. Assessing the reliability of these measures at a single-subject level is, however, much more relevant—indeed mandatory—for determining the diagnostic utility of the proposed imaging criteria in further classification of individual patients with PPA. In the absence of reliable automated single-subject statistical measures capable of detecting the abnormalities at an individual level, assessment of the consistency and reliability of neuroradiologists' reports along with the level of agreement constitutes a suitable substitute. Moreover, it mirrors real-life clinical practice in which visual rating of scans remains the standard reporting method.

The group-level voxel-based morphometry–based gray matter atrophy patterns for each of the PPA variants (Fig 1) were consistent with those in past studies.7⇓–9 This finding was important to confirm because it was precisely this group-level atrophy pattern that led to the recommendations for imaging-supported diagnoses. The results of the visual rating suggested a dichotomized pattern of high sensitivity and specificity of the proposed imaging markers for svPPA, but less reliable outcomes for the other 2 PPA subtypes, with a low sensitivity but rather high specificity. Agreement analyses for the whole group revealed substantial intrarater but only moderate interrater agreement values (mean κ, 0.63 and 0.41, respectively) for the recommendation-based atrophy patterns. This finding is now discussed in more detail for each variant.

svPPA

svPPA is characterized by an amodal loss of knowledge that consistently presents as a reduction of expressive vocabulary and word comprehension.27 Various studies have emphasized the importance of the anterior temporal lobes as hubs of semantic knowledge.28,29 In agreement with the proposed recommendations, group-average voxel-based morphometry analysis of the svPPA participants revealed predominant bilateral anterior temporal lobe atrophy. The high sensitivity and specificity of the proposed imaging markers (means, 0.98% and 93%, respectively) demonstrated that the presence of temporal lobe a trophy offered robust support for the diagnosis of svPPA. This finding is not unexpected because, though not always assessed systematically, atrophy of rostral-inferior temporal structures has been consistently reported in svPPA (also known as semantic dementia) both at a group level and individually.7,10,30⇓⇓⇓⇓–35 Given the uniform pattern of atrophy seen in this consecutively recruited cohort of 21 patients with svPPA, it can be argued that the diagnosis of svPPA should be seriously questioned in the absence of this atrophy pattern. Gil-Navarro et al36 found the same consistent presence of anterior temporal lobe atrophy in a study of 29 patients with PPA that included 5 with svPPA. As already mentioned, most patients with svPPA have frontotemporal lobar degeneration–TDP-43 pathology, but frontotemporal lobar degeneration-tau pathology is found occasionally. Previous work has indicated that the atrophy pattern does not discriminate between these 2 pathologic substrates.31

nfvPPA

Clinical features of nfvPPA include effortful, halting speech with sound distortions and/or grammatic errors in language production.6 Degeneration of the left frontal operculum and rostral insula is the culprit lesion in nfvPPA. More recent studies have also highlighted involvement of premotor32 and basal ganglia37 regions. Like svPPA, the group-average voxel-based morphometry findings in our nfvPPA cohort were largely compatible with the proposed diagnostic recommendations. As demonstrated in Fig 1, voxel-based morphometry analysis clearly identified disproportionate left-sided atrophy in the frontal operculum and insula. There was, in addition, evidence of further atrophy in the left basal ganglia region, but no atrophy was visible in the premotor area.

Concerning the single-subject outcomes, none of the patients with nfvPPA had unanimous reports of the prescribed atrophy pattern by all 3 neuroradiologists. In fact, “left posterior frontal and insular atrophy” was only the third most commonly observed report in this group with “no atrophy” and “left posterior peri-Sylvian atrophy” being the first and second, respectively (data not shown). “No atrophy” was reported by at least one of the neuroradiologists in 10 of 14 (71%) individuals with nfvPPA and in 22 of the total 42 (14 × 3) reports (52%). Low sensitivity values (mean, 21% ± 7%) further corroborated the above findings. Given the abundance of no-atrophy reports, the most plausible explanation for this result seems to be that atrophy in patients with nfvPPA is often very subtle. Also, clinical heterogeneity inherent in the recommended features of nfvPPA (ie, requiring the presence of either abnormal speech or agrammatism) and more white than gray matter burden are other potential explanations for the observed discrepancies. High specificity values, however, indicated the potential utility of the prescribed pattern of atrophy in the diagnosis of nfvPPA if present.

Further evidence for the inconsistency of imaging findings in nfvPPA comes from previous single case studies reporting widely discrepant findings, ranging from no atrophy38 to left hemispheric atrophy39 to left frontotemporal atrophy,14 bifrontal atrophy,40 and generalized atrophy.41 Even group-level findings, using parametric analysis techniques such as SPM, have been inconsistent, with different studies showing evidence of: left-sided inferior frontal and insular atrophy42 and hypometabolism43; atrophy in a wide distribution comprising the left inferior frontal, superior temporal, and inferior parietal areas, with7,9 and without7 additional atrophy in the premotor area; and finally abnormalities in the premotor cortex and left basal ganglia.8,32,44 One previous study reported a considerably higher sensitivity for the MR imaging–defined atrophy pattern of nfvPPA (76%).36 The discrepancy, however, likely relates to the study design in that the raters had to expressly classify scans for the 3 proposed atrophy patterns and in a group comprising only patients with PPA (there were neither healthy controls nor controls with dementia). This difference is important, given the high prevalence of no-atrophy reports in our nfvPPA group (see above). Considering that the main challenge in the diagnosis of degenerative aphasia is at the mildest stages when it is difficult to distinguish degenerative aphasia from a normal variation, inclusion of scans with normal findings makes our study a closer reflection of real-life situations.

lvPPA

LvPPA is the PPA variant that is highly associated with Alzheimer pathology.7 Impaired single-word retrieval in spontaneous speech and impaired sentence repetition are the recommended features. While a number of studies have failed to demonstrate the utility of these features in the diagnosis of lvPPA,17,45 atrophy of the left temporoparietal lobe has been consistently emphasized in Alzheimer disease—related aphasia.17,19,45 In the “Materials and Methods” section, we mentioned our rationale for applying the lvPPA label to the group of patients with PPA whom we had previously reported as having mixed PPA. Turning to the individual visual reporting outcomes, we found low-to-moderate sensitivity (mean, 49% ± 7%) for the prescribed atrophy patterns. This was consistent with the results of the only previous study looking at the same metrics that found a sensitivity of 57% for MR imaging atrophy.36 Given the high specificity value (mean, 95% ± 2%), it can be inferred that while the presence of the prescribed pattern of “left posterior peri-Sylvian or parietal” atrophy is highly suggestive of lvPPA, its absence does not exclude the diagnosis of lvPPA. In addition, assessment of individual reports revealed that contrary to what might be expected, a typical AD atrophy pattern (ie, medial temporal or parietal atrophy) was reported in only 8% of the ratings of patients with lvPPA; an lvPPA atrophy pattern was the most common (38%), while an nfvPPA atrophy pattern was the second most frequently reported outcome (20%). This radiologic finding resonates with the previously reported difficulty in distinguishing nfv- and lvPPA variants on clinical and neuropsychological grounds.19,45 None of the radiologists had reported global atrophy for the n = 16 lvPPA cohort. This is an important negative, given possible concerns about the severity of dementia in this group.

Conclusions

This study provides an objective assessment of the utility of the proposed MRI recommendations for supporting the diagnoses of 3 PPA variants. Our findings are largely compatible with the only previous study on the subject.36 Moreover, to our knowledge, this article is the first to report the intra- and interrater agreement of the reporting radiologists and the specificity of the MR imaging markers for the diagnosis of PPA variants. Our study provides compelling evidence for the utility of the proposed imaging recommendations for the diagnosis of svPPA. On the basis of the findings of the current and previous studies, it could even be argued that lack of anterior temporal lobe atrophy should exclude the diagnosis of svPPA. The results were less consistent in the other groups. While high specificity values observed in all groups indicate the potential utility of the recommendations for patients in whom the atrophy patterns can be identified, low sensitivity and modest agreement values suggest that absence of the proposed atrophy patterns is common in the nonsemantic PPA subtypes.

Footnotes

  • Disclosures: S. Ahmad Sajjadi—RELATED: Grant: Donald Forrester Trust, Comments: grant to the University of Cambridge*. Justin Cross—RELATED: Grant: National Institute for Health Research Biomedical Research Centre, Comments: part funding of salary.* *Money paid to the institution.

  • This work was supported by the funding from Donald Forrester Trust and the Cambridge National Institute for Health Research.

  • Paper previously presented in part at: Annual Meeting of the American Society of Neuroradiology and the Foundation of the ASNR Symposium; May 18–23, 2013; San Diego, California. The oral presentation was entitled, “How Sensitive Are the Proposed Criteria for the Diagnosis of the Subtypes of Frontotemporal Dementia?”

Indicates open access to non-subscribers at www.ajnr.org

REFERENCES

  1. 1.↵
    1. Hodges JR,
    2. Mitchell J,
    3. Dawson K, et al
    . Semantic dementia: demography, familial factors and survival in a consecutive series of 100 cases. Brain 2010;133(pt 1):300–06 doi:10.1093/brain/awp248 pmid:19805492
    Abstract/FREE Full Text
  2. 2.↵
    1. Rohrer JD,
    2. Lashley T,
    3. Schott JM, et al
    . Clinical and neuroanatomical signatures of tissue pathology in frontotemporal lobar degeneration. Brain 2011;134(pt 9):2565–81 doi:10.1093/brain/awr198 pmid:21908872
    Abstract/FREE Full Text
  3. 3.↵
    1. Knibb JA,
    2. Xuereb JH,
    3. Patterson K, et al
    . Clinical and pathological characterization of progressive aphasia. Ann Neurol 2006;59:156–65 doi:10.1002/ana.20700 pmid:16374817
    CrossRefPubMed
  4. 4.↵
    1. Mesulam M,
    2. Wicklund A,
    3. Johnson N, et al
    . Alzheimer and frontotemporal pathology in subsets of primary progressive aphasia. Ann Neurol 2008;63:709–19 doi:10.1002/ana.21388 pmid:18412267
    CrossRefPubMed
  5. 5.↵
    1. Josephs KA,
    2. Dickson DW,
    3. Murray ME, et al
    . Quantitative neurofibrillary tangle density and brain volumetric MRI analyses in Alzheimer's disease presenting as logopenic progressive aphasia. Brain Lang 2013;127:127–34 doi:10.1016/j.bandl.2013.02.003 pmid:23541297
    CrossRefPubMed
  6. 6.↵
    1. Gorno-Tempini ML,
    2. Hillis AE,
    3. Weintraub S, et al
    . Classification of primary progressive aphasia and its variants. Neurology 2011;76:1006–14 doi:10.1212/WNL.0b013e31821103e6 pmid:21325651
    Abstract/FREE Full Text
  7. 7.↵
    1. Gorno-Tempini ML,
    2. Dronkers NF,
    3. Rankin KP, et al
    . Cognition and anatomy in three variants of primary progressive aphasia. Ann Neurol 2004;55:335–46 doi:10.1002/ana.10825 pmid:14991811
    CrossRefPubMed
  8. 8.↵
    1. Josephs KA,
    2. Duffy JR,
    3. Strand EA, et al
    . Clinicopathological and imaging correlates of progressive aphasia and apraxia of speech. Brain 2006;129(pt 6):1385–98 doi:10.1093/brain/awl078 pmid:16613895
    Abstract/FREE Full Text
  9. 9.↵
    1. Mesulam M,
    2. Wieneke C,
    3. Rogalski E, et al
    . Quantitative template for subtyping primary progressive aphasia. Arch Neurol 2009;66:1545–51 pmid:20008661
    CrossRefPubMed
  10. 10.↵
    1. Galton CJ,
    2. Patterson K,
    3. Graham K, et al
    . Differing patterns of temporal atrophy in Alzheimer's disease and semantic dementia. Neurology 2001;57:216–25 doi:10.1212/WNL.57.2.216 pmid:11468305
    Abstract/FREE Full Text
  11. 11.↵
    1. Mummery CJ,
    2. Patterson K,
    3. Price CJ, et al
    . A voxel-based morphometry study of semantic dementia: relationship between temporal lobe atrophy and semantic memory. Ann Neurol 2000;47:36–45 pmid:10632099
    CrossRefPubMed
  12. 12.↵
    1. Rosen HJ,
    2. Kramer JH,
    3. Gorno-Tempini ML, et al
    . Patterns of cerebral atrophy in primary progressive aphasia. Am J Geriatr Psychiatry 2002;10:89–97 doi:10.1097/00019442-200201000-00011 pmid:11790639
    CrossRefPubMed
  13. 13.↵
    1. Galton CJ,
    2. Patterson K,
    3. Xuereb JH, et al
    . Atypical and typical presentations of Alzheimer's disease: a clinical, neuropsychological, neuroimaging and pathological study of 13 cases. Brain 2000;123(pt 3):484–98 doi:10.1093/brain/123.3.484 pmid:10686172
    Abstract/FREE Full Text
  14. 14.↵
    1. Hodges JR,
    2. Patterson K
    . Nonfluent progressive aphasia and semantic dementia: a comparative neuropsychological study. J Int Neuropsychol Soc 1996;2:511–24 doi:10.1017/S1355617700001685 pmid:9375155
    CrossRefPubMed
  15. 15.↵
    1. Mesulam M
    . Primary progressive aphasia. Ann Neurol 2001;49:425–32 pmid:11310619
    CrossRefPubMed
  16. 16.↵
    1. McKhann G,
    2. Drachman D,
    3. Folstein M, et al
    . Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease. Neurology 1984;34:939–44 doi:10.1212/WNL.34.7.939 pmid:6610841
    Abstract/FREE Full Text
  17. 17.↵
    1. Sajjadi SA,
    2. Patterson K,
    3. Arnold RJ, et al
    . Primary progressive aphasia: a tale of two syndromes and the rest. Neurology 2012;78:1670–77 doi:10.1212/WNL.0b013e3182574f79 pmid:22573633
    Abstract/FREE Full Text
  18. 18.↵
    1. Sajjadi SA,
    2. Patterson K,
    3. Nestor PJ
    . Logopenic, mixed, or Alzheimer-related aphasia? Neurology 2014;82:1127–31 doi:10.1212/WNL.0000000000000271 pmid:24574548
    Abstract/FREE Full Text
  19. 19.↵
    1. Leyton CE,
    2. Villemagne VL,
    3. Savage S, et al
    . Subtypes of progressive aphasia: application of the International Consensus Criteria and validation using β-amyloid imaging. Brain 2011;134(pt 10):3030–43 doi:10.1093/brain/awr216 pmid:21908392
    Abstract/FREE Full Text
  20. 20.↵
    1. Sajjadi SA,
    2. Patterson K,
    3. Tomek M, et al
    . Abnormalities of connected speech in the non-semantic variants of primary progressive aphasia. Aphasiology 2012;26:1219–37 doi:10.1080/02687038.2012.710318
    CrossRef
  21. 21.↵
    1. Acosta-Cabronero J,
    2. Williams GB,
    3. Pereira JM, et al
    . The impact of skull-stripping and radio-frequency bias correction on grey-matter segmentation for voxel-based morphometry. Neuroimage 2008;39:1654–65 doi:10.1016/j.neuroimage.2007.10.051 pmid:18065243
    CrossRefPubMed
  22. 22.↵
    1. Ashburner J,
    2. Friston KJ
    . Unified segmentation. Neuroimage 2005;26:839–51 doi:10.1016/j.neuroimage.2005.02.018 pmid:15955494
    CrossRefPubMed
  23. 23.↵
    1. Pengas G,
    2. Pereira JM,
    3. Williams GB, et al
    . Comparative reliability of total intracranial volume estimation methods and the influence of atrophy in a longitudinal semantic dementia cohort. J Neuroimaging 2009;19:37–46 doi:10.1111/j.1552-6569.2008.00246.x pmid:18494772
    CrossRefPubMed
  24. 24.↵
    1. Smith SM,
    2. Jenkinson M,
    3. Woolrich MW, et al
    . Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 2004;23(suppl 1):S208–19 doi:10.1016/j.neuroimage.2004.07.051 pmid:15501092
    CrossRefPubMed
  25. 25.↵
    1. Dubois B,
    2. Feldman HH,
    3. Jacova C, et al
    . Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS-ADRDA criteria. Lancet Neurol 2007;6:734–46 doi:10.1016/S1474-4422(07)70178-3 pmid:17616482
    CrossRefPubMed
  26. 26.↵
    1. Landis J,
    2. Koch G
    . The measurement of observer agreement for categorical data. Biometrics 1977;33:159–74 doi:10.2307/2529310 pmid:843571
    CrossRefPubMed
  27. 27.↵
    1. Hodges JR,
    2. Patterson K
    . Semantic dementia: a unique clinicopathological syndrome. Lancet Neurol 2007;6:1004–14 doi:10.1016/S1474-4422(07)70266-1 pmid:17945154
    CrossRefPubMed
  28. 28.↵
    1. Patterson K,
    2. Nestor PJ,
    3. Rogers TT
    . Where do you know what you know? The representation of semantic knowledge in the human brain. Nat Rev Neurosci 2007;8:976–87 doi:10.1038/nrn2277 pmid:18026167
    CrossRefPubMed
  29. 29.↵
    1. Mion M,
    2. Patterson K,
    3. Acosta-Cabronero J, et al
    . What the left and right anterior fusiform gyri tell us about semantic memory. Brain 2010;133:3256–68 doi:10.1093/brain/awq272 pmid:20952377
    Abstract/FREE Full Text
  30. 30.↵
    1. Hodges JR,
    2. Patterson K,
    3. Oxbury S, et al
    . Semantic dementia: progressive fluent aphasia with temporal lobe atrophy. Brain 1992;115(pt 6):1783–806 doi:10.1093/brain/115.6.1783 pmid:1486461
    Abstract/FREE Full Text
  31. 31.↵
    1. Pereira JM,
    2. Williams GB,
    3. Acosta-Cabronero J, et al
    . Atrophy patterns in histologic vs clinical groupings of frontotemporal lobar degeneration. Neurology 2009;72:1653–60 doi:10.1212/WNL.0b013e3181a55fa2 pmid:19433738
    Abstract/FREE Full Text
  32. 32.↵
    1. Wilson SM,
    2. Henry ML,
    3. Besbris M, et al
    . Connected speech production in three variants of primary progressive aphasia. Brain 2010;133(pt 7):2069–88 doi:10.1093/brain/awq129 pmid:20542982
    Abstract/FREE Full Text
  33. 33.↵
    1. Mesulam M,
    2. Rogalski E,
    3. Wieneke C, et al
    . Neurology of anomia in the semantic variant of primary progressive aphasia. Brain 2009;132(pt 9):2553–65 doi:10.1093/brain/awp138 pmid:19506067
    Abstract/FREE Full Text
  34. 34.↵
    1. Grossman M
    . Primary progressive aphasia: clinicopathological correlations. Nat Rev Neurol 2010;6:88–97 doi:10.1038/nrneurol.2009.216 pmid:20139998
    CrossRefPubMed
  35. 35.↵
    1. Snowden JS,
    2. Goulding PJ,
    3. Neary D
    . Semantic dementia: a form of circumscribed cerebral atrophy. Behavioural Neurology 1989;2:167–82
  36. 36.↵
    1. Gil-Navarro S,
    2. Lladó A,
    3. Rami L, et al
    . Neuroimaging and biochemical markers in the three variants of primary progressive aphasia. Dement Geriatr Cogn Disord 2013;35:106–17 doi:10.1159/000346289 pmid:23392204
    CrossRefPubMed
  37. 37.↵
    1. Whitwell JL,
    2. Duffy JR,
    3. Machulda MM, et al
    . Tracking the development of agrammatic aphasia: a tensor-based morphometry study. Cortex 2016 Sep 30. [Epub ahead of print] doi:10.1016/j.cortex.2016.09.017 pmid:27771043
    CrossRefPubMed
  38. 38.↵
    1. Caselli RJ,
    2. Jack CR Jr.
    . Asymmetric cortical degeneration syndromes: a proposed clinical classification. Arch Neurol 1992;49:770–80 doi:10.1001/archneur.1992.00530310118022 pmid:1497506
    CrossRefPubMed
  39. 39.↵
    1. Snowden JS,
    2. Neary D,
    3. Mann DM, et al
    . Progressive language disorder due to lobar atrophy. Ann Neurol 1992;31:174–83 doi:10.1002/ana.410310208 pmid:1575456
    CrossRefPubMed
  40. 40.↵
    1. Mimura M,
    2. Oda T,
    3. Tsuchiya K, et al
    . Corticobasal degeneration presenting with nonfluent primary progressive aphasia: a clinicopathological study. J Neurol Sci 2001;183:19–26 doi:10.1016/S0022-510X(00)00470-6 pmid:11166789
    CrossRefPubMed
  41. 41.↵
    1. Harasty JA,
    2. Halliday GM,
    3. Xuereb J, et al
    . Cortical degeneration associated with phonologic and semantic language impairments in AD. Neurology 2001;56:944–50 doi:10.1212/WNL.56.7.944 pmid:11294934
    Abstract/FREE Full Text
  42. 42.↵
    1. Whitwell JL,
    2. Anderson VM,
    3. Scahill RI, et al
    . Longitudinal patterns of regional change on volumetric MRI in frontotemporal lobar degeneration. Dement Geriatr Cogn Disord 2004;17:307–10 doi:10.1159/000077160 pmid:15178942
    CrossRefPubMed
  43. 43.↵
    1. Nestor PJ,
    2. Graham NL,
    3. Fryer TD, et al
    . Progressive non-fluent aphasia is associated with hypometabolism centred on the left anterior insula. Brain 2003;126(pt 11):2406–18 doi:10.1093/brain/awg240 pmid:12902311
    Abstract/FREE Full Text
  44. 44.↵
    1. Snowden J,
    2. Neary D,
    3. Mann D
    . Frontotemporal lobar degeneration: clinical and pathological relationships. Acta Neuropathol 2007;114:31–38 doi:10.1007/s00401-007-0236-3 pmid:17569065
    CrossRefPubMed
  45. 45.↵
    1. Mesulam MM,
    2. Wieneke C,
    3. Thompson C, et al
    . Quantitative classification of primary progressive aphasia at early and mild impairment stages. Brain 2012;135(pt 5):1537–53 doi:10.1093/brain/aws080 pmid:22525158
    Abstract/FREE Full Text
  • Received August 24, 2016.
  • Accepted after revision January 2, 2017.
  • © 2017 by American Journal of Neuroradiology
View Abstract
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 38 (5)
American Journal of Neuroradiology
Vol. 38, Issue 5
1 May 2017
  • Table of Contents
  • Index by author
  • Complete Issue (PDF)
Advertisement
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Can MRI Visual Assessment Differentiate the Variants of Primary-Progressive Aphasia?
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Cite this article
S.A. Sajjadi, N. Sheikh-Bahaei, J. Cross, J.H. Gillard, D. Scoffings, P.J. Nestor
Can MRI Visual Assessment Differentiate the Variants of Primary-Progressive Aphasia?
American Journal of Neuroradiology May 2017, 38 (5) 954-960; DOI: 10.3174/ajnr.A5126

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
0 Responses
Respond to this article
Share
Bookmark this article
Can MRI Visual Assessment Differentiate the Variants of Primary-Progressive Aphasia?
S.A. Sajjadi, N. Sheikh-Bahaei, J. Cross, J.H. Gillard, D. Scoffings, P.J. Nestor
American Journal of Neuroradiology May 2017, 38 (5) 954-960; DOI: 10.3174/ajnr.A5126
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
    • Abstract
    • ABBREVIATIONS:
    • Materials and Methods
    • Results
    • Discussion
    • Conclusions
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • MRI-Based Multi-Class Relevance Vector Machine Classification of Neurodegenerative Diseases
  • Clinicoradiological and neuropathological evaluation of primary progressive aphasia
  • Multimodality Imaging in Primary Progressive Aphasia
  • Crossref (25)
  • Google Scholar

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • Primary progressive aphasia: a clinical approach
    Charles R. Marshall, Chris J. D. Hardy, Anna Volkmer, Lucy L. Russell, Rebecca L. Bond, Phillip D. Fletcher, Camilla N. Clark, Catherine J. Mummery, Jonathan M. Schott, Martin N. Rossor, Nick C. Fox, Sebastian J. Crutch, Jonathan D. Rohrer, Jason D. Warren
    Journal of Neurology 2018 265 6
  • Graded, multidimensional intra- and intergroup variations in primary progressive aphasia and post-stroke aphasia
    Ruth U Ingram, Ajay D Halai, Gorana Pobric, Seyed Sajjadi, Karalyn Patterson, Matthew A Lambon Ralph
    Brain 2020 143 10
  • Structural, Microstructural, and Metabolic Alterations in Primary Progressive Aphasia Variants
    Alexandre Routier, Marie-Odile Habert, Anne Bertrand, Aurélie Kas, Martina Sundqvist, Justine Mertz, Pierre-Maxime David, Hugo Bertin, Serge Belliard, Florence Pasquier, Karim Bennys, Olivier Martinaud, Frédérique Etcharry-Bouyx, Olivier Moreaud, Olivier Godefroy, Jérémie Pariente, Michèle Puel, Philippe Couratier, Claire Boutoleau-Bretonnière, Bernard Laurent, Raphaëlla Migliaccio, Bruno Dubois, Olivier Colliot, Marc Teichmann
    Frontiers in Neurology 2018 9
  • Brain metabolic signatures across the Alzheimer’s disease spectrum
    Arianna Sala, Camilla Caprioglio, Roberto Santangelo, Emilia Giovanna Vanoli, Sandro Iannaccone, Giuseppe Magnani, Daniela Perani
    European Journal of Nuclear Medicine and Molecular Imaging 2020 47 2
  • The atrophy pattern in Alzheimer-related PPA is more widespread than that of the frontotemporal lobar degeneration associated variants
    Daniel Preiß, Ornella V. Billette, Anja Schneider, Nicola Spotorno, Peter J. Nestor
    NeuroImage: Clinical 2019 24
  • Current Role for Biomarkers in Clinical Diagnosis of Alzheimer Disease and Frontotemporal Dementia
    Nasim Sheikh-Bahaei, Seyed Ahmad Sajjadi, Aimee L. Pierce
    Current Treatment Options in Neurology 2017 19 12
  • Application of Machine Learning to Electroencephalography for the Diagnosis of Primary Progressive Aphasia: A Pilot Study
    Carlos Moral-Rubio, Paloma Balugo, Adela Fraile-Pereda, Vanesa Pytel, Lucía Fernández-Romero, Cristina Delgado-Alonso, Alfonso Delgado-Álvarez, Jorge Matias-Guiu, Jordi A. Matias-Guiu, José Luis Ayala
    Brain Sciences 2021 11 10
  • Correlación neurorradiológica de las afasias. Mapa cortico-subcortical del lenguaje
    M.M. Jiménez de la Peña, L. Gómez Vicente, R. García Cobos, V. Martínez de Vega
    Radiología 2018 60 3
  • Multimodality Imaging in Primary Progressive Aphasia
    M. Roytman, G.C. Chiang, M.L. Gordon, A.M. Franceschi
    American Journal of Neuroradiology 2022 43 9
  • Multiparametric magnetic resonance imaging and positron emission tomography findings in neurodegenerative diseases: Current status and future directions
    Neetu Soni, Manish Ora, Girish Bathla, Chandana Nagaraj, Laura L Boles Ponto, Michael M Graham, Jitender Saini, Yusuf Menda
    The Neuroradiology Journal 2021 34 4

More in this TOC Section

  • Diagnostic Neuroradiology of Monoclonal Antibodies
  • Clinical Outcomes After Chiari I Decompression
  • Segmentation of Brain Metastases with BLAST
Show more ADULT BRAIN

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editor's Choice
  • Fellows' Journal Club
  • Letters to the Editor
  • Video Articles

Cases

  • Case Collection
  • Archive - Case of the Week
  • Archive - Case of the Month
  • Archive - Classic Case

More from AJNR

  • Trainee Corner
  • Imaging Protocols
  • MRI Safety Corner

Multimedia

  • AJNR Podcasts
  • AJNR Scantastics

Resources

  • Turnaround Time
  • Submit a Manuscript
  • Submit a Video Article
  • Submit an eLetter to the Editor/Response
  • Manuscript Submission Guidelines
  • Statistical Tips
  • Fast Publishing of Accepted Manuscripts
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Author Policies
  • Become a Reviewer/Academy of Reviewers
  • News and Updates

About Us

  • About AJNR
  • Editorial Board
  • Editorial Board Alumni
  • Alerts
  • Permissions
  • Not an AJNR Subscriber? Join Now
  • Advertise with Us
  • Librarian Resources
  • Feedback
  • Terms and Conditions
  • AJNR Editorial Board Alumni

American Society of Neuroradiology

  • Not an ASNR Member? Join Now

© 2025 by the American Society of Neuroradiology All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire