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 ArticleHead and NeckE
Open Access

Utility of the K-Means Clustering Algorithm in Differentiating Apparent Diffusion Coefficient Values of Benign and Malignant Neck Pathologies

A. Srinivasan, C.J. Galbán, T.D. Johnson, T.L. Chenevert, B.D. Ross and S.K. Mukherji
American Journal of Neuroradiology April 2010, 31 (4) 736-740; DOI: https://doi.org/10.3174/ajnr.A1901
A. Srinivasan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
C.J. Galbán
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
T.D. Johnson
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
T.L. Chenevert
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
B.D. Ross
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
S.K. Mukherji
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

References

  1. 1.↵
    1. Vandecaveye V,
    2. De Keyzer F,
    3. Nuyts S,
    4. et al
    . Detection of head and neck squamous cell carcinoma with diffusion weighted MRI after (chemo)radiotherapy: correlation between radiologic and histopathologic findings. Int J Radiat Oncol Biol Phys 2007; 67: 960–71
    CrossRefPubMed
  2. 2.↵
    1. Vandecaveye V,
    2. de Keyzer F,
    3. Vander Poorten V,
    4. et al
    . Evaluation of the larynx for tumour recurrence by diffusion-weighted MRI after radiotherapy: initial experience in four cases. Br J Radiol 2006; 79: 681–87
    Abstract/FREE Full Text
  3. 3.↵
    1. Maeda M,
    2. Maier SE
    . Usefulness of diffusion-weighted imaging and the apparent diffusion coefficient in the assessment of head and neck tumors. J Neuroradiol 2008; 35: 71–78
    CrossRefPubMed
  4. 4.↵
    1. Srinivasan A,
    2. Dvorak R,
    3. Perni K,
    4. et al
    . Differentiation of benign and malignant pathology in the head and neck using 3T apparent diffusion coefficient values: early experience. AJNR Am J Neuroradiol 2008; 29: 40–44
    Abstract/FREE Full Text
  5. 5.↵
    1. Wang J,
    2. Takashima S,
    3. Takayama F,
    4. et al
    . Head and neck lesions: characterization with diffusion-weighted echo-planar MR imaging. Radiology 2001; 220: 621–30
    CrossRefPubMed
  6. 6.↵
    1. Hartigan JA,
    2. Wong MA
    . Algorithm AS136: A K-Means Clustering Algorithm. Journal of the Royal Statistical Society, Series C (Applied Statistics) 1979; 28: 100–08
    CrossRef
  7. 7.↵
    1. MacQueen JB
    . Some methods for classification and analysis of multivariate observations. In: Proceedings of Fifth Berkeley Symposium on Mathematical Statistics and Probability. Berkeley, California: University of California Press; 1967: 281–97
  8. 8.↵
    1. Kanungo T,
    2. Mount DM,
    3. Netanyahu NS,
    4. et al
    . An efficient k-means clustering algorithm: analysis and implementation. IEEE Trans Pattern Anal Mach Intell 2002; 24: 881–92
    CrossRefWeb of Science
  9. 9.↵
    1. Holzapfel K,
    2. Duetsch S,
    3. Fauser C,
    4. et al
    . Value of diffusion-weighted MR imaging in the differentiation between benign and malignant cervical lymph nodes. Eur J Radiol 2009; 72: 381–87
    CrossRefPubMed
  10. 10.↵
    1. Vandecaveye V,
    2. De Keyzer F,
    3. Hermans R
    . Diffusion-weighted magnetic resonance imaging in neck lymph adenopathy. Cancer Imaging 2008; 8: 173–80
    CrossRefPubMed
  11. 11.↵
    1. Maeda M,
    2. Kato H,
    3. Sakuma H,
    4. et al
    . Usefulness of the apparent diffusion coefficient in line scan diffusion-weighted imaging for distinguishing between squamous cell carcinomas and malignant lymphomas of the head and neck. AJNR Am J Neuroradiol 2005; 26: 1186–92
    Abstract/FREE Full Text
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 31 (4)
American Journal of Neuroradiology
Vol. 31, Issue 4
1 Apr 2010
  • Table of Contents
  • Index by author
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.
Utility of the K-Means Clustering Algorithm in Differentiating Apparent Diffusion Coefficient Values of Benign and Malignant Neck Pathologies
(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
A. Srinivasan, C.J. Galbán, T.D. Johnson, T.L. Chenevert, B.D. Ross, S.K. Mukherji
Utility of the K-Means Clustering Algorithm in Differentiating Apparent Diffusion Coefficient Values of Benign and Malignant Neck Pathologies
American Journal of Neuroradiology Apr 2010, 31 (4) 736-740; DOI: 10.3174/ajnr.A1901

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
Utility of the K-Means Clustering Algorithm in Differentiating Apparent Diffusion Coefficient Values of Benign and Malignant Neck Pathologies
A. Srinivasan, C.J. Galbán, T.D. Johnson, T.L. Chenevert, B.D. Ross, S.K. Mukherji
American Journal of Neuroradiology Apr 2010, 31 (4) 736-740; DOI: 10.3174/ajnr.A1901
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
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Crossref (19)
  • Google Scholar

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

  • High‐Throughput Metabolomics by 1D NMR
    Alessia Vignoli, Veronica Ghini, Gaia Meoni, Cristina Licari, Panteleimon G. Takis, Leonardo Tenori, Paola Turano, Claudio Luchinat
    Angewandte Chemie International Edition 2019 58 4
  • Differentiation between benign and malignant orbital tumors at 3-T diffusion MR-imaging
    Ahmed Abdel Khalek Abdel Razek, Sahar Elkhamary, Amani Mousa
    Neuroradiology 2011 53 7
  • Histogram Analysis of Apparent Diffusion Coefficient Map of Standard and High B-value Diffusion MR Imaging in Head and Neck Squamous Cell Carcinoma
    Se Jin Ahn, Seung Hong Choi, Young-Jae Kim, Kwang Gi Kim, Chul-Ho Sohn, Moon Hee Han, Kee-Hyun Chang, Hye Sook Min
    Academic Radiology 2012 19 10
  • Prediction of chemotherapeutic response in bladder cancer using K-means clustering of dynamic contrast-enhanced (DCE)-MRI pharmacokinetic parameters
    Huyen T. Nguyen, Guang Jia, Zarine K. Shah, Kamal Pohar, Amir Mortazavi, Debra L. Zynger, Lai Wei, Xiangyu Yang, Daniel Clark, Michael V. Knopp
    Journal of Magnetic Resonance Imaging 2015 41 5
  • Assessment of diffusion parameters by intravoxel incoherent motion MRI in head and neck squamous cell carcinoma
    Simona Marzi, Francesca Piludu, Antonello Vidiri
    NMR in Biomedicine 2013 26 12
  • Quantitative Assessment of Heterogeneity in Bladder Tumor MRI Diffusivity: Can Response be Predicted Prior to Neoadjuvant Chemotherapy?
    Huyen T. Nguyen, Amir Mortazavi, Kamal S. Pohar, Debra L. Zynger, Lai Wei, Zarine K. Shah, Guang Jia, Michael V. Knopp
    Bladder Cancer 2017 3 4
  • Analysis of image heterogeneity using 2D Minkowski functionals detects tumor responses to treatment
    Timothy J. Larkin, Holly C. Canuto, Mikko I. Kettunen, Thomas C. Booth, De‐En Hu, Anant S. Krishnan, Sarah E. Bohndiek, André A. Neves, Charles McLachlan, Michael P. Hobson, Kevin M. Brindle
    Magnetic Resonance in Medicine 2014 71 1
  • Magnetic resonance tumor regression grade (MR-TRG) to assess pathological complete response following neoadjuvant radiochemotherapy in locally advanced rectal cancer
    Marco Rengo, Simona Picchia, Simona Marzi, Davide Bellini, Damiano Caruso, Mauro Caterino, Maria Ciolina, Domenico De Santis, Daniela Musio, Vincenzo Tombolini, Andrea Laghi
    Oncotarget 2017 8 70
  • Concordance of FDG PET/CT metabolic tumour volume versus DW-MRI functional tumour volume with T2-weighted anatomical tumour volume in cervical cancer
    Alta Y. T. Lai, Jose A. U. Perucho, Xiaopei Xu, Edward S. Hui, Elaine Y. P. Lee
    BMC Cancer 2017 17 1
  • Non-invasive quantification of tumour heterogeneity in water diffusivity to differentiate malignant from benign tissues of urinary bladder: a phase I study
    Huyen T. Nguyen, Zarine K. Shah, Amir Mortazavi, Kamal S. Pohar, Lai Wei, Guang Jia, Debra L. Zynger, Michael V. Knopp
    European Radiology 2017 27 5

More in this TOC Section

  • Correlation of Apparent Diffusion Coefficient at 3T with Prognostic Parameters of Retinoblastoma
  • Parathyroid Lesions: Characterization with Dual-Phase Arterial and Venous Enhanced CT of the Neck
  • Efficacy of Diffusion-Weighted Imaging for the Differentiation between Lymphomas and Carcinomas of the Nasopharynx and Oropharynx: Correlations of Apparent Diffusion Coefficients and Histologic Features
Show more HEAD AND NECK

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
  • Book Reviews

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