Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • AJNR Case Collection
    • Case of the Week Archive
    • Classic Case Archive
    • Case of the Month Archive
  • Special Collections
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
    • 2024 AJNR Journal Awards
    • Most Impactful AJNR Articles
  • Multimedia
    • AJNR Podcast
    • AJNR Scantastics
    • Video Articles
  • For Authors
    • Submit a Manuscript
    • Author Policies
    • Fast publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Manuscript Submission Guidelines
    • Imaging Protocol Submission
    • Submit a Case for the Case Collection
  • About Us
    • About AJNR
    • Editorial Board
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Other Publications
    • ajnr

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
    • AJNR Case Collection
    • Case of the Week Archive
    • Classic Case Archive
    • Case of the Month Archive
  • Special Collections
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
    • 2024 AJNR Journal Awards
    • Most Impactful AJNR Articles
  • Multimedia
    • AJNR Podcast
    • AJNR Scantastics
    • Video Articles
  • For Authors
    • Submit a Manuscript
    • Author Policies
    • Fast publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Manuscript Submission Guidelines
    • Imaging Protocol Submission
    • Submit a Case for the Case Collection
  • About Us
    • About AJNR
    • Editorial Board
  • 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

Welcome to the new AJNR, Updated Hall of Fame, and more. Read the full announcements.


AJNR is seeking candidates for the position of Associate Section Editor, AJNR Case Collection. Read the full announcement.

 

Research ArticleBrain

Differentiation among Glioblastoma Multiforme, Solitary Metastatic Tumor, and Lymphoma Using Whole-Tumor Histogram Analysis of the Normalized Cerebral Blood Volume in Enhancing and Perienhancing Lesions

J.H. Ma, H.S. Kim, N.-J. Rim, S.-H. Kim and K.-G. Cho
American Journal of Neuroradiology October 2010, 31 (9) 1699-1706; DOI: https://doi.org/10.3174/ajnr.A2161
J.H. Ma
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
H.S. Kim
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
N.-J. Rim
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
S.-H. Kim
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
K.-G. Cho
  • 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

Article Information

vol. 31 no. 9 1699-1706
DOI 
https://doi.org/10.3174/ajnr.A2161
PubMed 
20581063

Published By 
American Journal of Neuroradiology
Print ISSN 
0195-6108
Online ISSN 
1936-959X
History 
  • Received December 18, 2009
  • Accepted after revision March 26, 2010
  • Published online October 8, 2010.

Copyright & Usage 
Copyright © American Society of Neuroradiology

Author Information

  1. J.H. Maa,
  2. H.S. Kima,
  3. N.-J. Rima,
  4. S.-H. Kimb and
  5. K.-G. Chob
  1. aFrom the Departments of Diagnostic Radiology (J.H.M., H.S.K., N.-J.R.)
  2. bNeurosurgery (S.-H.K, K.-G.C.), Ajou University School of Medicine, Suwon, Korea.
  1. Please address correspondence to Ho Sung Kim, MD, Department of Diagnostic and Interventional Neuroradiology, Institute of Radiology, Ajou University School of Medicine, Mt. 5, Woncheon-dong, Yeongtong-gu, Suwon, Gyeonggi-do, 442-749, Korea; e-mail: J978005{at}lycos.co.kr
View Full Text

Altmetrics

Cited By...

  • 54 Citations
  • 53 Citations
  • Google Scholar

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

  • Differentiation of glioblastoma from solitary brain metastases using radiomic machine-learning classifiers
    Zenghui Qian, Yiming Li, Yongzhi Wang, Lianwang Li, Runting Li, Kai Wang, Shaowu Li, Ke Tang, Chuanbao Zhang, Xing Fan, Baoshi Chen, Wenbin Li
    Cancer Letters 2019 451
  • Quantification of Heterogeneity as a Biomarker in Tumor Imaging: A Systematic Review
    Lejla Alic, Wiro J. Niessen, Jifke F. Veenland, Christos Hatzis
    PLoS ONE 2014 9 10
  • Differentiation of Primary Central Nervous System Lymphomas and Glioblastomas: Comparisons of Diagnostic Performance of Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging without and with Contrast-Leakage Correction
    C.H. Toh, K.-C. Wei, C.-N. Chang, S.-H. Ng, H.-F. Wong
    American Journal of Neuroradiology 2013 34 6
  • Atypical Imaging Features of Primary Central Nervous System Lymphoma That Mimics Glioblastoma: Utility of Intravoxel Incoherent Motion MR Imaging
    Chong Hyun Suh, Ho Sung Kim, Seung Soo Lee, Namkug Kim, Hee Mang Yoon, Choong-Gon Choi, Sang Joon Kim
    Radiology 2014 272 2
  • Differentiation of Glioblastoma from Brain Metastasis: Qualitative and Quantitative Analysis Using Arterial Spin Labeling MR Imaging
    Leonard Sunwoo, Tae Jin Yun, Sung-Hye You, Roh-Eul Yoo, Koung Mi Kang, Seung Hong Choi, Ji-hoon Kim, Chul-Ho Sohn, Sun-Won Park, Cheolkyu Jung, Chul-Kee Park, Jeroen Hendrikse
    PLOS ONE 2016 11 11
  • 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
  • Perfusion MRI as a diagnostic biomarker for differentiating glioma from brain metastasis: a systematic review and meta-analysis
    Chong Hyun Suh, Ho Sung Kim, Seung Chai Jung, Choong Gon Choi, Sang Joon Kim
    European Radiology 2018 28 9
  • Imaging in neuro-oncology
    Hari Nandu, Patrick Y. Wen, Raymond Y. Huang
    Therapeutic Advances in Neurological Disorders 2018 11
  • Differentiating Glioblastomas from Solitary Brain Metastases Using Arterial Spin Labeling Perfusion− and Diffusion Tensor Imaging−Derived Metrics
    Ahmed Abdel Khalek Abdel Razek, Mona Talaat, Lamiaa El-Serougy, Mohamed Abdelsalam, Gada Gaballa
    World Neurosurgery 2019 127
  • Differentiation of glioblastoma and primary CNS lymphomas using susceptibility weighted imaging
    Alexander Radbruch, Benedikt Wiestler, Linda Kramp, Kira Lutz, Philipp Bäumer, Markus Weiler, Matthias Roethke, Felix Sahm, Heinz-Peter Schlemmer, Wolfgang Wick, Sabine Heiland, Martin Bendszus
    European Journal of Radiology 2013 82 3
  • Cerebral Blood Volume Analysis in Glioblastomas Using Dynamic Susceptibility Contrast-Enhanced Perfusion MRI: A Comparison of Manual and Semiautomatic Segmentation Methods
    Seung Chai Jung, Seung Hong Choi, Jeong A. Yeom, Ji-Hoon Kim, Inseon Ryoo, Soo Chin Kim, Hwaseon Shin, A. Leum Lee, Tae Jin Yun, Chul-Kee Park, Chul-Ho Sohn, Sung-Hye Park, Karl Herholz
    PLoS ONE 2013 8 8
  • Utility of dynamic contrast-enhanced magnetic resonance imaging for differentiating glioblastoma, primary central nervous system lymphoma and brain metastatic tumor
    Shanshan Lu, Qianqian Gao, Jing Yu, Yang Li, Peng Cao, Haibin Shi, Xunning Hong
    European Journal of Radiology 2016 85 10
  • MRI as a diagnostic biomarker for differentiating primary central nervous system lymphoma from glioblastoma: A systematic review and meta‐analysis
    Chong Hyun Suh, Ho Sung Kim, Seung Chai Jung, Ji Eun Park, Choong Gon Choi, Sang Joon Kim
    Journal of Magnetic Resonance Imaging 2019 50 2
  • Advanced MRI assessment of non-enhancing peritumoral signal abnormality in brain lesions
    Teodoro Martín-Noguerol, Suyash Mohan, Eloísa Santos-Armentia, Alberto Cabrera-Zubizarreta, Antonio Luna
    European Journal of Radiology 2021 143
  • Histogram analysis of amide proton transfer–weighted imaging: comparison of glioblastoma and solitary brain metastasis in enhancing tumors and peritumoral regions
    Kiyohisa Kamimura, Masanori Nakajo, Tomohide Yoneyama, Yoshihiko Fukukura, Hirofumi Hirano, Yuko Goto, Masashi Sasaki, Yuta Akamine, Jochen Keupp, Takashi Yoshiura
    European Radiology 2019 29 8
  • Tumor blood flow from arterial spin labeling perfusion MRI: A key parameter in distinguishing high‐grade gliomas from primary cerebral lymphomas, and in predicting genetic biomarkers in high‐grade gliomas
    Roh‐Eul Yoo, Seung Hong Choi, Hye Rim Cho, Tae Min Kim, Se‐Hoon Lee, Chul‐Kee Park, Sung‐Hye Park, Il Han Kim, Tae Jin Yun, Ji‐Hoon Kim, Chul‐Ho Sohn, Moon Hee Han, Kee Hyun Chang
    Journal of Magnetic Resonance Imaging 2013 38 4
  • Diagnostic value of using 18F-FDG PET and PET/CT in immunocompetent patients with primary central nervous system lymphoma: A systematic review and meta-analysis
    Yaru Zou, Jianjing Tong, Haiyan Leng, Jingwei Jiang, Meng Pan, Zi Chen
    Oncotarget 2017 8 25
  • Diagnosis of brain tumors using dynamic contrast-enhanced perfusion imaging with a short acquisition time
    Takashi Abe, Yoshifumi Mizobuchi, Kohei Nakajima, Yoichi Otomi, Saho Irahara, Yuki Obama, Mungunkhuyag Majigsuren, Delgerdalai Khashbat, Teruyoshi Kageji, Shinji Nagahiro, Masafumi Harada
    SpringerPlus 2015 4 1
  • The performance of MR perfusion-weighted imaging for the differentiation of high-grade glioma from primary central nervous system lymphoma: A systematic review and meta-analysis
    Weilin Xu, Qun Wang, Anwen Shao, Bainan Xu, Jianmin Zhang, Jonathan H. Sherman
    PLOS ONE 2017 12 3
  • Differentiation between Brain Glioblastoma Multiforme and Solitary Metastasis: Qualitative and Quantitative Analysis Based on Routine MR Imaging
    X.Z. Chen, X.M. Yin, L. Ai, Q. Chen, S.W. Li, J.P. Dai
    American Journal of Neuroradiology 2012 33 10
  • Quantitative Evaluation of Diffusion and Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Differentiation Between Primary Central Nervous System Lymphoma and Glioblastoma
    Shanshan Lu, Siqi Wang, Qianqian Gao, Minlin Zhou, Yang Li, Peng Cao, Xunning Hong, Haibin Shi
    Journal of Computer Assisted Tomography 2017 41 6
  • Toxoplasmosis versus lymphoma: Cerebral lesion characterization using DSC-MRI revisited
    Elizabeth H. Dibble, Jerrold L. Boxerman, Grayson L. Baird, John E. Donahue, Jeffrey M. Rogg
    Clinical Neurology and Neurosurgery 2017 152
  • Diffusional kurtosis imaging for differentiating between high‐grade glioma and primary central nervous system lymphoma
    Haopeng Pang, Yan Ren, Xuefei Dang, Xiaoyuan Feng, Zhenwei Yao, Jingsong Wu, Chengjun Yao, Ning DI, Diana Cristina Ghinda, Yong Zhang
    Journal of Magnetic Resonance Imaging 2016 44 1
  • Radiomic Based Machine Learning Performance for a Three Class Problem in Neuro-Oncology: Time to Test the Waters?
    Sarv Priya, Yanan Liu, Caitlin Ward, Nam H. Le, Neetu Soni, Ravishankar Pillenahalli Maheshwarappa, Varun Monga, Honghai Zhang, Milan Sonka, Girish Bathla
    Cancers 2021 13 11
  • Clinical Significance of Discrepancy between Arterial Spin Labeling Images and Contrast-enhanced Images in the Diagnosis of Brain Tumors
    Takashi ABE, Yoshifumi MIZOBUCHI, Wataru SAKO, Saho IRAHARA, Yoichi OTOMI, Yuki OBAMA, Kohei NAKAJIMA, Delgerdalai KHASHBAT, Mungunkhuyag MAJIGSUREN, Teruyoshi KAGEJI, Shinji NAGAHIRO, Masafumi HARADA
    Magnetic Resonance in Medical Sciences 2015 14 4
  • AI-based classification of three common malignant tumors in neuro-oncology: A multi-institutional comparison of machine learning and deep learning methods
    Girish Bathla, Durjoy Deb Dhruba, Neetu Soni, Yanan Liu, Nicholas B Larson, Blake A Kassmeyer, Suyash Mohan, Douglas Roberts-Wolfe, Saima Rathore, Nam H Le, Honghai Zhang, Milan Sonka, Sarv Priya
    Journal of Neuroradiology 2024 51 3
  • Discrimination between Glioblastoma and Solitary Brain Metastasis: Comparison of Inflow-Based Vascular-Space-Occupancy and Dynamic Susceptibility Contrast MR Imaging
    X. Li, D. Wang, S. Liao, L. Guo, X. Xiao, X. Liu, Y. Xu, J. Hua, J.J. Pillai, Y. Wu
    American Journal of Neuroradiology 2020 41 4
  • Mapping Spatiotemporal Heterogeneity in Tumor Profiles by Integrating High-Throughput Imaging and Omics Analysis
    Pooja Annasaheb Patkulkar, Ayalur Raghu Subbalakshmi, Mohit Kumar Jolly, Sanhita Sinharay
    ACS Omega 2023 8 7
  • Classification of Cerebral Lymphomas and Glioblastomas Featuring Luminance Distribution Analysis
    Toshihiko Yamasaki, Tsuhan Chen, Toshinori Hirai, Ryuji Murakami
    Computational and Mathematical Methods in Medicine 2013 2013
  • Perfusion Computed Tomography Parameters Are Useful for Differentiating Glioblastoma, Lymphoma, and Metastasis
    Shumpei Onishi, Yoshinori Kajiwara, Takeshi Takayasu, Manish Kolakshyapati, Minoru Ishifuro, Vishwa Jeet Amatya, Yukio Takeshima, Kazuhiko Sugiyama, Kaoru Kurisu, Fumiyuki Yamasaki
    World Neurosurgery 2018 119
  • Differentiation of Primary Central Nervous System Lymphoma and High-Grade Glioma with Dynamic Susceptibility Contrast−Derived Metrics: Pilot Study
    Joga Chaganti, Michael Taylor, Hannah Woodford, Timothy Steel
    World Neurosurgery 2021 151
  • The diagnostic role and dynamic changes in cerebrospinal fluid neopterin during treatment of patients with primary central nervous system lymphoma
    Mingying Geng, He Xiao, Jiaqi Liu, Yang Song, Ping Fu, Xing Cheng, Jinwei Zhang, Ge Wang
    Cancer Medicine 2018 7 8
  • Conventional and Advanced Magnetic Resonance Imaging Assessment of Non-Enhancing Peritumoral Area in Brain Tumor
    Elisa Scola, Guido Del Vecchio, Giorgio Busto, Andrea Bianchi, Ilaria Desideri, Davide Gadda, Sara Mancini, Edoardo Carlesi, Marco Moretti, Isacco Desideri, Giovanni Muscas, Alessandro Della Puppa, Enrico Fainardi
    Cancers 2023 15 11
  • Role of Advanced MR Imaging in Diagnosis of Neurological Malignancies: Current Status and Future Perspective
    Akram M Eraky, Ryan T. Beck, Randall W. Treffy, Daniel M. Aaronson, Hirad Hedayat
    Journal of Integrative Neuroscience 2023 22 3
  • Differentiation of Brain Metastases and Gliomas Based on Color Map of Phase Difference Enhanced Imaging
    Satoshi Doishita, Shinichi Sakamoto, Tetsuya Yoneda, Takehiro Uda, Taro Tsukamoto, Eiji Yamada, Masami Yoneyama, Daisuke Kimura, Yutaka Katayama, Hiroyuki Tatekawa, Taro Shimono, Kenji Ohata, Yukio Miki
    Frontiers in Neurology 2018 9
  • 3D pseudo-continuous arterial spin labeling-MRI (3D PCASL-MRI) in the differential diagnosis between glioblastomas and primary central nervous system lymphomas
    A. I. Batalov, R. M. Afandiev, N. E. Zakharova, E. L. Pogosbekyan, A. A. Shulgina, G. L. Kobyakov, A. A. Potapov, I. N. Pronin
    Neuroradiology 2022 64 8
  • Differentiation between Glioblastoma and Primary Central Nervous System Lymphoma Using Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging: Comparison Study of the Manual versus Semiautomatic Segmentation Method
    Ye Eun Kim, Seung Hong Choi, Soon Tae Lee, Tae Min Kim, Chul-Kee Park, Sung-Hye Park, Il Han Kim
    Investigative Magnetic Resonance Imaging 2017 21 1
  • Differentiation of high grade glioma and solitary brain metastases by measuring relative cerebral blood volume and fractional anisotropy: a systematic review and meta-analysis of MRI diagnostic test accuracy studies
    Fioni Fioni, Song Jia Chen, I Nyoman Ehrich Lister, Abdelrahman Atef Ghalwash, Ma Zhan Long
    The British Journal of Radiology 2023 96 1141
  • Image-Based Differentiation of Intracranial Metastasis From Glioblastoma Using Automated Machine Learning
    Yukun Liu, Tianshi Li, Ziwen Fan, Yiming Li, Zhiyan Sun, Shaowu Li, Yuchao Liang, Chunyao Zhou, Qiang Zhu, Hong Zhang, Xing Liu, Lei Wang, Yinyan Wang
    Frontiers in Neuroscience 2022 16
  • Quantitative and Visual Characteristics of Primary Central Nervous System Lymphoma on 18F-FDG-PET
    Delin Liu, Ziren Kong, Yuekun Wang, Wenlin Chen, Yaning Wang, Wanqi Chen, Lei Liu, Yonghong Dang, Wenbin Ma, Yu Wang, Xin Cheng
    Interdisciplinary Sciences: Computational Life Sciences 2019 11 2
  • Accuracy of Susceptibility-Weighted Imaging and Dynamic Susceptibility Contrast Magnetic Resonance Imaging for Differentiating High-Grade Glioma from Primary Central Nervous System Lymphomas: Meta-Analysis
    Yangzong Wu, Zhihong Den, Yuanxiang Lin
    World Neurosurgery 2018 112
  • Histogram Analysis Based on Neurite Orientation Dispersion and Density MR Imaging for Differentiation Between Glioblastoma Multiforme and Solitary Brain Metastasis and Comparison of the Diagnostic Performance of Two ROI Placements
    Jinbo Qi, Peipei Wang, Guohua Zhao, Eryuan Gao, Kai Zhao, Ankang Gao, Jie Bai, Huiting Zhang, Guang Yang, Yong Zhang, Xiaoyue Ma, Jingliang Cheng
    Journal of Magnetic Resonance Imaging 2023 57 5
  • Usefulness of Histogram-Profile Analysis in Ring-Enhancing Intracranial Lesions
    Manish Kolakshyapati, Akira Hashizume, Kazuhide Ochi, Hiroki Ueno, Yoko Kaichi, Takeshi Takayasu, Motoki Takano, Vega Karlowee, Yuji Akiyama, Kazuo Awai, Hirofumi Maruyama, Kazuhiko Sugiyama, Kaoru Kurisu, Fumiyuki Yamasaki
    World Neurosurgery 2019 131
  • Whole-tumor histogram analysis of the cerebral blood volume map: tumor volume defined by 11C-methionine positron emission tomography image improves the diagnostic accuracy of cerebral glioma grading
    Rongli Wu, Yoshiyuki Watanabe, Atsuko Arisawa, Hiroto Takahashi, Hisashi Tanaka, Yasunori Fujimoto, Tadashi Watabe, Kayako Isohashi, Jun Hatazawa, Noriyuki Tomiyama
    Japanese Journal of Radiology 2017 35 10
  • Radiomics-Based Differentiation between Glioblastoma, CNS Lymphoma, and Brain Metastases: Comparing Performance across MRI Sequences and Machine Learning Models
    Sarv Priya, Yanan Liu, Caitlin Ward, Nam H. Le, Neetu Soni, Ravishankar Pillenahalli Maheshwarappa, Varun Monga, Honghai Zhang, Milan Sonka, Girish Bathla
    Cancers 2021 13 9
  • Intracranial computed tomography histogram analysis detects changes in the setting of elevated intracranial pressure and normal imaging
    Solmaz Asnafi, Benson S Chen, Valérie Biousse, Nancy J Newman, Amit M Saindane
    The Neuroradiology Journal 2022 35 6
  • RETRACTED: Efficacy of three‐dimensional arterial spin labeling and how it compares against that of contrast enhanced magnetic resonance imaging in preoperative grading of brain gliomas
    Kai Wang, Huanxuan Guo, Xiaoyan Tian, Yanping Miao, Ping Han, Feng Jin
    Environmental Toxicology 2023 38 7
  • Atlas of Clinical Cases on Brain Tumor Imaging
    Paula L. Croal
    2020
  • Current World Literature
    Current Opinion in Oncology 2011 23 5
  • Dynamic T1-Contrast-Enhanced 3T-MRI of peritumoral white matter in differentiation between glioblastomas and metastases
    Radek Tupý, Jiří Ferda, Jan Kastner, Vladimír Přibáň, Ondřej Hes, Samuel Vokurka
    Česká radiologie 2017 71 3
  • Perfusion-MRI for differentiating cerebral metastatic lesions and gliomas: An evidence-based review
    Mohammed A. Azab, Nour El-Gohary, Oday Atallah, Mohsen Shama, Ismail A. Ibrahim
    Journal of Clinical Neuroscience 2025 133
  • Predictors for the Differentiation between Glioblastoma, Primary Central Nervous System Lymphoma, and Metastasis in Patients with a Solitary Enhancing Intracranial Mass
    Pornthida Chuthip, Bunpot Sitthinamsuwan, Theerapol Witthiwej, Chottiwat Tansirisithikul, Inthira Khumpalikit, Sarun Nunta-aree
    Asian Journal of Neurosurgery 2024 19 02
  • Quantitative Physiologic MRI Combined with Feature Engineering for Developing Machine Learning-Based Prediction Models to Distinguish Glioblastomas from Single Brain Metastases
    Seyyed Ali Hosseini, Stijn Servaes, Brandon Hall, Sourav Bhaduri, Archith Rajan, Pedro Rosa-Neto, Steven Brem, Laurie A. Loevner, Suyash Mohan, Sanjeev Chawla
    Diagnostics 2024 15 1
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 31 (9)
American Journal of Neuroradiology
Vol. 31, Issue 9
1 Oct 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.
Differentiation among Glioblastoma Multiforme, Solitary Metastatic Tumor, and Lymphoma Using Whole-Tumor Histogram Analysis of the Normalized Cerebral Blood Volume in Enhancing and Perienhancing Lesions
(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
J.H. Ma, H.S. Kim, N.-J. Rim, S.-H. Kim, K.-G. Cho
Differentiation among Glioblastoma Multiforme, Solitary Metastatic Tumor, and Lymphoma Using Whole-Tumor Histogram Analysis of the Normalized Cerebral Blood Volume in Enhancing and Perienhancing Lesions
American Journal of Neuroradiology Oct 2010, 31 (9) 1699-1706; DOI: 10.3174/ajnr.A2161

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
Differentiation among Glioblastoma Multiforme, Solitary Metastatic Tumor, and Lymphoma Using Whole-Tumor Histogram Analysis of the Normalized Cerebral Blood Volume in Enhancing and Perienhancing Lesions
J.H. Ma, H.S. Kim, N.-J. Rim, S.-H. Kim, K.-G. Cho
American Journal of Neuroradiology Oct 2010, 31 (9) 1699-1706; DOI: 10.3174/ajnr.A2161
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
    • References
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Discrimination between Glioblastoma and Solitary Brain Metastasis: Comparison of Inflow-Based Vascular-Space-Occupancy and Dynamic Susceptibility Contrast MR Imaging
  • Tumor-related Perfusion Changes in White Matter Adjacent to Brain Tumors: Pharmacodynamic Analysis of Dynamic 3T Magnetic Resonance Imaging
  • Differentiation of Primary Central Nervous System Lymphomas and Glioblastomas: Comparisons of Diagnostic Performance of Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging without and with Contrast-Leakage Correction
  • Differentiation between Brain Glioblastoma Multiforme and Solitary Metastasis: Qualitative and Quantitative Analysis Based on Routine MR Imaging
  • Crossref (53)
  • Google Scholar

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

  • Differentiation of glioblastoma from solitary brain metastases using radiomic machine-learning classifiers
    Zenghui Qian, Yiming Li, Yongzhi Wang, Lianwang Li, Runting Li, Kai Wang, Shaowu Li, Ke Tang, Chuanbao Zhang, Xing Fan, Baoshi Chen, Wenbin Li
    Cancer Letters 2019 451
  • Quantification of Heterogeneity as a Biomarker in Tumor Imaging: A Systematic Review
    Lejla Alic, Wiro J. Niessen, Jifke F. Veenland, Christos Hatzis
    PLoS ONE 2014 9 10
  • Differentiation of Primary Central Nervous System Lymphomas and Glioblastomas: Comparisons of Diagnostic Performance of Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging without and with Contrast-Leakage Correction
    C.H. Toh, K.-C. Wei, C.-N. Chang, S.-H. Ng, H.-F. Wong
    American Journal of Neuroradiology 2013 34 6
  • Atypical Imaging Features of Primary Central Nervous System Lymphoma That Mimics Glioblastoma: Utility of Intravoxel Incoherent Motion MR Imaging
    Chong Hyun Suh, Ho Sung Kim, Seung Soo Lee, Namkug Kim, Hee Mang Yoon, Choong-Gon Choi, Sang Joon Kim
    Radiology 2014 272 2
  • Differentiation of Glioblastoma from Brain Metastasis: Qualitative and Quantitative Analysis Using Arterial Spin Labeling MR Imaging
    Leonard Sunwoo, Tae Jin Yun, Sung-Hye You, Roh-Eul Yoo, Koung Mi Kang, Seung Hong Choi, Ji-hoon Kim, Chul-Ho Sohn, Sun-Won Park, Cheolkyu Jung, Chul-Kee Park, Jeroen Hendrikse
    PLOS ONE 2016 11 11
  • 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
  • Perfusion MRI as a diagnostic biomarker for differentiating glioma from brain metastasis: a systematic review and meta-analysis
    Chong Hyun Suh, Ho Sung Kim, Seung Chai Jung, Choong Gon Choi, Sang Joon Kim
    European Radiology 2018 28 9
  • Imaging in neuro-oncology
    Hari Nandu, Patrick Y. Wen, Raymond Y. Huang
    Therapeutic Advances in Neurological Disorders 2018 11
  • Differentiating Glioblastomas from Solitary Brain Metastases Using Arterial Spin Labeling Perfusion− and Diffusion Tensor Imaging−Derived Metrics
    Ahmed Abdel Khalek Abdel Razek, Mona Talaat, Lamiaa El-Serougy, Mohamed Abdelsalam, Gada Gaballa
    World Neurosurgery 2019 127
  • Differentiation of glioblastoma and primary CNS lymphomas using susceptibility weighted imaging
    Alexander Radbruch, Benedikt Wiestler, Linda Kramp, Kira Lutz, Philipp Bäumer, Markus Weiler, Matthias Roethke, Felix Sahm, Heinz-Peter Schlemmer, Wolfgang Wick, Sabine Heiland, Martin Bendszus
    European Journal of Radiology 2013 82 3

More in this TOC Section

  • SWI or T2*: Which MRI Sequence to Use in the Detection of Cerebral Microbleeds? The Karolinska Imaging Dementia Study
  • Progression of Microstructural Damage in Spinocerebellar Ataxia Type 2: A Longitudinal DTI Study
  • Usefulness of Quantitative Susceptibility Mapping for the Diagnosis of Parkinson Disease
Show more Brain

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editors Choice
  • Fellow Journal Club
  • Letters to the Editor

Cases

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

Special Collections

  • Special Collections

Resources

  • News and Updates
  • Turn around Times
  • Submit a Manuscript
  • Author Policies
  • Manuscript Submission Guidelines
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Submit a Case
  • Become a Reviewer/Academy of Reviewers
  • Get Peer Review Credit from Publons

Multimedia

  • AJNR Podcast
  • AJNR SCANtastic
  • Video Articles

About Us

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

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