Index by author
Taylor, M.D.
- PediatricsOpen AccessMR Imaging–Based Radiomic Signatures of Distinct Molecular Subgroups of MedulloblastomaM. Iv, M. Zhou, K. Shpanskaya, S. Perreault, Z. Wang, E. Tranvinh, B. Lanzman, S. Vajapeyam, N.A. Vitanza, P.G. Fisher, Y.J. Cho, S. Laughlin, V. Ramaswamy, M.D. Taylor, S.H. Cheshier, G.A. Grant, T. Young Poussaint, O. Gevaert and K.W. YeomAmerican Journal of Neuroradiology January 2019, 40 (1) 154-161; DOI: https://doi.org/10.3174/ajnr.A5899
Tedeschi, E.
- EDITOR'S CHOICEAdult BrainOpen AccessDeterminants of Deep Gray Matter Atrophy in Multiple Sclerosis: A Multimodal MRI StudyG. Pontillo, S. Cocozza, R. Lanzillo, C. Russo, M.D. Stasi, C. Paolella, E.A. Vola, C. Criscuolo, P. Borrelli, G. Palma, E. Tedeschi, V.B. Morra, A. Elefante and A. BrunettiAmerican Journal of Neuroradiology January 2019, 40 (1) 99-106; DOI: https://doi.org/10.3174/ajnr.A5915
Seventy-seven patients with MS and 44 healthy controls were enrolled in this cross-sectional study. MR imaging investigation included volumetric, diffusion tensor imaging, perfusion weighted imaging, and Quantitative Susceptibility Mapping analyses. Deep gray matter structures were automatically segmented to obtain volumes and mean values for each MR imaging metric in the thalamus, caudate, putamen, and globus pallidus. Patients with MS showed a multifaceted involvement of the thalamus and basal ganglia, with significant atrophy of all deep gray matter structures. In the relapsing-remitting MS group, WM lesion burden proved to be the main contributor to volume loss for all deep gray matter structures.
Teichert, N.
- EDITOR'S CHOICEAdult BrainYou have accessDeep Learning–Based Detection of Intracranial Aneurysms in 3D TOF-MRAT. Sichtermann, A. Faron, R. Sijben, N. Teichert, J. Freiherr and M. WiesmannAmerican Journal of Neuroradiology January 2019, 40 (1) 25-32; DOI: https://doi.org/10.3174/ajnr.A5911
In a retrospective study, the authors established a system for the detection of intracranial aneurysms from 3D TOF-MRA data. The system is based on an open-source neural network, originally developed for segmentation of anatomic structures in medical images. Eighty-five datasets of patients with a total of 115 intracranial aneurysms were used to train the system and evaluate its performance. Manual annotation of aneurysms based on radiologic reports and critical revision of image data served as the reference standard. The highest overall sensitivity of this system for the detection of intracranial aneurysms was 90% with a sensitivity of 96% for aneurysms with a diameter of 3–7 mm and 100% for aneurysms of >7 mm. The best location-dependent performance was in the posterior circulation.
Teuho, J.
- Adult BrainOpen AccessBrain β-Amyloid and Atrophy in Individuals at Increased Risk of Cognitive DeclineI.K. Martikainen, N. Kemppainen, J. Johansson, J. Teuho, S. Helin, Y. Liu, S. Helisalmi, H. Soininen, R. Parkkola, T. Ngandu, M. Kivipelto and J.O. RinneAmerican Journal of Neuroradiology January 2019, 40 (1) 80-85; DOI: https://doi.org/10.3174/ajnr.A5891
Tian, X.
- LetterYou have accessReply:C. Zhu, X. Tian, A.J. Degnan, J. Lu and Q. LiuAmerican Journal of Neuroradiology January 2019, 40 (1) E2; DOI: https://doi.org/10.3174/ajnr.A5895
Tiziano Di Carlo, D.
- NeurointerventionYou have accessY-Stent-Assisted Coiling of Wide-Neck Bifurcation Intracranial Aneurysms: A Meta-AnalysisF. Cagnazzo, N. Limbucci, S. Nappini, L. Renieri, A. Rosi, A. Laiso, D. Tiziano di Carlo, P. Perrini and S. MangiaficoAmerican Journal of Neuroradiology January 2019, 40 (1) 122-128; DOI: https://doi.org/10.3174/ajnr.A5900
Tomblinson, C.M.
- Head & NeckYou have accessParapharyngeal Space Venous Malformation: An Imaging Mimic of Pleomorphic AdenomaC.M. Tomblinson, G.P. Fletcher, T.K. Lidner, C.P. Wood, S.M. Weindling and J.M. HoxworthAmerican Journal of Neuroradiology January 2019, 40 (1) 150-153; DOI: https://doi.org/10.3174/ajnr.A5859
Toquet, C.
- FELLOWS' JOURNAL CLUBAdult BrainYou have accessMRI Quantitative T2* Mapping to Predict Dominant Composition of In Vitro ThrombusR. Bourcier, R. Pautre, M. Mirza, C. Castets, J. Darcourt, J. Labreuche, L. Detraz, H. Desal, J.-M. Serfaty and C. ToquetAmerican Journal of Neuroradiology January 2019, 40 (1) 59-64; DOI: https://doi.org/10.3174/ajnr.A5938
Thirty-five thrombus analogs of different compositions were scanned with an MR imaging quantitative T2* mapping sequence. Two radiologists, blinded to thrombus composition, measured the thrombus-T2* relaxation time twice, at an interval of 2 weeks. Quantitative histologic evaluations of red blood cell content were performed. Inter- and intraobserver reproducibility of the thrombus-T2* relaxation time was assessed by calculating intraclass correlation coefficients. MR imaging quantitative T2* mapping can reliably identify the thrombus red blood cell content in vitro. This fast, easy-to-use sequence could be implemented in routine practice.
Toro, C.
- PediatricsYou have access“Ears of the Lynx” MRI Sign Is Associated with SPG11 and SPG15 Hereditary Spastic ParaplegiaB. Pascual, S.T. de Bot, M.R. Daniels, M.C. França, C. Toro, M. Riverol, P. Hedera, M.T. Bassi, N. Bresolin, B.P. van de Warrenburg, B. Kremer, J. Nicolai, P. Charles, J. Xu, S. Singh, N.J. Patronas, S.H. Fung, M.D. Gregory and J.C. MasdeuAmerican Journal of Neuroradiology January 2019, 40 (1) 199-203; DOI: https://doi.org/10.3174/ajnr.A5935
Tranvinh, E.
- PediatricsOpen AccessMR Imaging–Based Radiomic Signatures of Distinct Molecular Subgroups of MedulloblastomaM. Iv, M. Zhou, K. Shpanskaya, S. Perreault, Z. Wang, E. Tranvinh, B. Lanzman, S. Vajapeyam, N.A. Vitanza, P.G. Fisher, Y.J. Cho, S. Laughlin, V. Ramaswamy, M.D. Taylor, S.H. Cheshier, G.A. Grant, T. Young Poussaint, O. Gevaert and K.W. YeomAmerican Journal of Neuroradiology January 2019, 40 (1) 154-161; DOI: https://doi.org/10.3174/ajnr.A5899