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 & Neck

CT Texture Analysis Potentially Predicts Local Failure in Head and Neck Squamous Cell Carcinoma Treated with Chemoradiotherapy

H. Kuno, M.M. Qureshi, M.N. Chapman, B. Li, V.C. Andreu-Arasa, K. Onoue, M.T. Truong and O. Sakai
American Journal of Neuroradiology December 2017, 38 (12) 2334-2340; DOI: https://doi.org/10.3174/ajnr.A5407
H. Kuno
aFrom the Departments of Radiology (H.K., M.M.Q., M.N.C., B.L., V.C.A.A., K.O., M.T.T., O.S.)
dDepartment of Diagnostic Radiology (H.K.), National Cancer Center Hospital East, Kashiwa, Chiba, Japan.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for H. Kuno
M.M. Qureshi
aFrom the Departments of Radiology (H.K., M.M.Q., M.N.C., B.L., V.C.A.A., K.O., M.T.T., O.S.)
bRadiation Oncology (M.M.Q., M.T.T., O.S.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for M.M. Qureshi
M.N. Chapman
aFrom the Departments of Radiology (H.K., M.M.Q., M.N.C., B.L., V.C.A.A., K.O., M.T.T., O.S.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for M.N. Chapman
B. Li
aFrom the Departments of Radiology (H.K., M.M.Q., M.N.C., B.L., V.C.A.A., K.O., M.T.T., O.S.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for B. Li
V.C. Andreu-Arasa
aFrom the Departments of Radiology (H.K., M.M.Q., M.N.C., B.L., V.C.A.A., K.O., M.T.T., O.S.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for V.C. Andreu-Arasa
K. Onoue
aFrom the Departments of Radiology (H.K., M.M.Q., M.N.C., B.L., V.C.A.A., K.O., M.T.T., O.S.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for K. Onoue
M.T. Truong
aFrom the Departments of Radiology (H.K., M.M.Q., M.N.C., B.L., V.C.A.A., K.O., M.T.T., O.S.)
bRadiation Oncology (M.M.Q., M.T.T., O.S.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for M.T. Truong
O. Sakai
aFrom the Departments of Radiology (H.K., M.M.Q., M.N.C., B.L., V.C.A.A., K.O., M.T.T., O.S.)
bRadiation Oncology (M.M.Q., M.T.T., O.S.)
cOtolaryngology–Head and Neck Surgery (O.S.), Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for O. Sakai
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

Article Information

vol. 38 no. 12 2334-2340
DOI 
https://doi.org/10.3174/ajnr.A5407
PubMed 
29025727

Published By 
American Journal of Neuroradiology
Print ISSN 
0195-6108
Online ISSN 
1936-959X
History 
  • Received March 6, 2017
  • Accepted after revision July 16, 2017
  • Published online December 15, 2017.

Article Versions

  • Latest version (October 12, 2017 - 07:17).
  • You are viewing the most recent version of this article.
Copyright & Usage 
© 2017 by American Journal of Neuroradiology

Author Information

  1. H. Kunoa,d,
  2. M.M. Qureshia,b,
  3. M.N. Chapmana,
  4. B. Lia,
  5. V.C. Andreu-Arasaa,
  6. K. Onouea,
  7. M.T. Truonga,b and
  8. O. Sakaia,b,c
  1. aFrom the Departments of Radiology (H.K., M.M.Q., M.N.C., B.L., V.C.A.A., K.O., M.T.T., O.S.)
  2. bRadiation Oncology (M.M.Q., M.T.T., O.S.)
  3. cOtolaryngology–Head and Neck Surgery (O.S.), Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts
  4. dDepartment of Diagnostic Radiology (H.K.), National Cancer Center Hospital East, Kashiwa, Chiba, Japan.
  1. Please address correspondence to Osamu Sakai, MD, PhD, Department of Radiology, Boston Medical Center, Boston University School of Medicine, FGH Building, 3rd Floor, 820 Harrison Ave, Boston, MA 02118; e-mail: osamu.sakai{at}bmc.org
View Full Text

Altmetrics

Cited By...

  • 67 Citations
  • 68 Citations
  • Google Scholar

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

  • Discrimination of Pancreatic Serous Cystadenomas From Mucinous Cystadenomas With CT Textural Features: Based on Machine Learning
    Jing Yang, Xinli Guo, Xuejin Ou, Weiwei Zhang, Xuelei Ma
    Frontiers in Oncology 2019 9
  • Applications of radiomics in precision diagnosis, prognostication and treatment planning of head and neck squamous cell carcinomas
    Stefan P. Haider, Barbara Burtness, Wendell G. Yarbrough, Seyedmehdi Payabvash
    Cancers of the Head & Neck 2020 5 1
  • Radiomics features of the primary tumor fail to improve prediction of overall survival in large cohorts of CT- and PET-imaged head and neck cancer patients
    Rachel B. Ger, Shouhao Zhou, Baher Elgohari, Hesham Elhalawani, Dennis M. Mackin, Joseph G. Meier, Callistus M. Nguyen, Brian M. Anderson, Casey Gay, Jing Ning, Clifton D. Fuller, Heng Li, Rebecca M. Howell, Rick R. Layman, Osama Mawlawi, R. Jason Stafford, Hugo Aerts, Laurence E. Court, Jason Chia-Hsun Hsieh
    PLOS ONE 2019 14 9
  • CT-based Radiomic Signatures for Predicting Histopathologic Features in Head and Neck Squamous Cell Carcinoma
    Pritam Mukherjee, Murilo Cintra, Chao Huang, Mu Zhou, Shankuan Zhu, A. Dimitrios Colevas, Nancy Fischbein, Olivier Gevaert
    Radiology: Imaging Cancer 2020 2 3
  • Predictive value of pretreatment MRI texture analysis in patients with primary nasopharyngeal carcinoma
    Jiaji Mao, Jin Fang, Xiaohui Duan, Zehong Yang, Minghui Cao, Fang Zhang, Liejing Lu, Xiang Zhang, Xiaoyan Wu, Yue Ding, Jun Shen
    European Radiology 2019 29 8
  • CT assessment of tumor heterogeneity and the potential for the prediction of human papillomavirus status in oropharyngeal squamous cell carcinoma
    Francesco Mungai, Giovanni Battista Verrone, Michele Pietragalla, Valentina Berti, Gloria Addeo, Isacco Desideri, Luigi Bonasera, Vittorio Miele
    La radiologia medica 2019 124 9
  • Machine-Learning-Based Prediction of Treatment Outcomes Using MR Imaging-Derived Quantitative Tumor Information in Patients with Sinonasal Squamous Cell Carcinomas: A Preliminary Study
    Noriyuki Fujima, Yukie Shimizu, Daisuke Yoshida, Satoshi Kano, Takatsugu Mizumachi, Akihiro Homma, Koichi Yasuda, Rikiya Onimaru, Osamu Sakai, Kohsuke Kudo, Hiroki Shirato
    Cancers 2019 11 6
  • Radiomics and radiogenomics in head and neck squamous cell carcinoma: Potential contribution to patient management and challenges
    Gema Bruixola, Elena Remacha, Ana Jiménez-Pastor, Delfina Dualde, Alba Viala, Jose Vicente Montón, Maider Ibarrola-Villava, Ángel Alberich-Bayarri, Andrés Cervantes
    Cancer Treatment Reviews 2021 99
  • Nodal-based radiomics analysis for identifying cervical lymph node metastasis at levels I and II in patients with oral squamous cell carcinoma using contrast-enhanced computed tomography
    Hayato Tomita, Tsuneo Yamashiro, Joichi Heianna, Toshiyuki Nakasone, Yusuke Kimura, Hidefumi Mimura, Sadayuki Murayama
    European Radiology 2021 31 10
  • Evaluation of CT-based radiomics signature and nomogram as prognostic markers in patients with laryngeal squamous cell carcinoma
    Linyan Chen, Haiyang Wang, Hao Zeng, Yi Zhang, Xuelei Ma
    Cancer Imaging 2020 20 1
  • MRI with DWI for the Detection of Posttreatment Head and Neck Squamous Cell Carcinoma: Why Morphologic MRI Criteria Matter
    A. Ailianou, P. Mundada, T. De Perrot, M. Pusztaszieri, P.-A. Poletti, M. Becker
    American Journal of Neuroradiology 2018 39 4
  • Radiomics Applications in Head and Neck Tumor Imaging: A Narrative Review
    Mario Tortora, Laura Gemini, Alessandra Scaravilli, Lorenzo Ugga, Andrea Ponsiglione, Arnaldo Stanzione, Felice D’Arco, Gennaro D’Anna, Renato Cuocolo
    Cancers 2023 15 4
  • Texture analysis based on U-Net neural network for intracranial hemorrhage identification predicts early enlargement
    Yu Liu, Qiong Fang, Anhong Jiang, Qingling Meng, Gang Pang, Xuefei Deng
    Computer Methods and Programs in Biomedicine 2021 206
  • Using CT texture analysis to differentiate cystic and cystic-appearing odontogenic lesions
    Masafumi Oda, Pedro V. Staziaki, Muhammad M. Qureshi, V. Carlota Andreu-Arasa, Baojun Li, Koji Takumi, Margaret N. Chapman, Albert Wang, Andrew R. Salama, Osamu Sakai
    European Journal of Radiology 2019 120
  • Radiomics and Texture Analysis in Laryngeal Cancer. Looking for New Frontiers in Precision Medicine through Imaging Analysis
    Carlos Miguel Chiesa-Estomba, Oier Echaniz, Ekhiñe Larruscain, Jose Angel Gonzalez-Garcia, Jon Alexander Sistiaga-Suarez, Manuel Graña
    Cancers 2019 11 10
  • Survival prediction for oral tongue cancer patients via probabilistic genetic algorithm optimized neural network models
    Xiaoying Pan, Ting Zhang, QingPing Yang, Di Yang, Jean-Claude Rwigema, X. Sharon Qi
    The British Journal of Radiology 2020 93 1112
  • Predicting response to radiotherapy of head and neck squamous cell carcinoma using radiomics from cone-beam CT images
    S. Sellami, V. Bourbonne, M. Hatt, F. Tixier, D. Bouzid, F. Lucia, O. Pradier, G. Goasduff, D. Visvikis, U. Schick
    Acta Oncologica 2022 61 1
  • Tumor radiomic features complement clinico-radiological factors in predicting long-term local control and laryngectomy free survival in locally advanced laryngo-pharyngeal cancers
    Jai Prakash Agarwal, Shwetabh Sinha, Jayant Sastri Goda, Kishor Joshi, Ritesh Mhatre, Sadhana Kannan, Sarbani Ghosh Laskar, Tejpal Gupta, Vedang Murthy, Ashwini Budrukkar, Naveen Mummudi, Balaji Ganeshan
    The British Journal of Radiology 2020 93 1109
  • Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging
    Noriyuki Fujima, Koji Kamagata, Daiju Ueda, Shohei Fujita, Yasutaka Fushimi, Masahiro Yanagawa, Rintaro Ito, Takahiro Tsuboyama, Mariko Kawamura, Takeshi Nakaura, Akira Yamada, Taiki Nozaki, Tomoyuki Fujioka, Yusuke Matsui, Kenji Hirata, Fuminari Tatsugami, Shinji Naganawa
    Magnetic Resonance in Medical Sciences 2023 22 4
  • CT texture analysis predicts abdominal aortic aneurysm post-endovascular aortic aneurysm repair progression
    Ning Ding, Yunxiu Hao, Zhiwei Wang, Xiao Xuan, Lingyan Kong, Huadan Xue, Zhengyu Jin
    Scientific Reports 2020 10 1
  • Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images
    Noriyuki Fujima, V. Carlota Andreu-Arasa, Sara K. Meibom, Gustavo A. Mercier, Minh Tam Truong, Kenji Hirata, Koichi Yasuda, Satoshi Kano, Akihiro Homma, Kohsuke Kudo, Osamu Sakai
    BMC Cancer 2021 21 1
  • User-controlled pipelines for feature integration and head and neck radiation therapy outcome predictions
    Mattea L. Welch, Chris McIntosh, Andrea McNiven, Shao Hui Huang, Bei-Bei Zhang, Leonard Wee, Alberto Traverso, Brian O'Sullivan, Frank Hoebers, Andre Dekker, David A. Jaffray
    Physica Medica 2020 70
  • Machine Learning Applications for Head and Neck Imaging
    Farhad Maleki, William Trung Le, Thiparom Sananmuang, Samuel Kadoury, Reza Forghani
    Neuroimaging Clinics of North America 2020 30 4
  • The application of radiomics in laryngeal cancer
    Amarkumar Dhirajlal Rajgor, Shreena Patel, David McCulloch, Boguslaw Obara, Jaume Bacardit, Andrew McQueen, Eric Aboagye, Tamir Ali, James O’Hara, David Winston Hamilton
    The British Journal of Radiology 2021 94 1128
  • Deep learning approach of diffusion-weighted imaging as an outcome predictor in laryngeal and hypopharyngeal cancer patients with radiotherapy-related curative treatment: a preliminary study
    Hayato Tomita, Tatsuaki Kobayashi, Eichi Takaya, Sono Mishiro, Daisuke Hirahara, Atsuko Fujikawa, Yoshiko Kurihara, Hidefumi Mimura, Yasuyuki Kobayashi
    European Radiology 2022 32 8
  • Differentiation of salivary gland tumors through tumor heterogeneity: a comparison between pleomorphic adenoma and Warthin tumor using CT texture analysis
    Yong Jun Jung, Miran Han, Eun Ju Ha, Jin Wook Choi
    Neuroradiology 2020 62 11
  • Multidetector Row Computed Tomography in Maxillofacial Imaging
    Anita Gohel, Masafumi Oda, Amol S. Katkar, Osamu Sakai
    Dental Clinics of North America 2018 62 3
  • PET/CT-based radiomics analysis may help to predict neoadjuvant chemotherapy outcomes in breast cancer
    Liping Yang, Jianfei Chang, Xitao He, Mengye Peng, Ying Zhang, Tingting Wu, Panpan Xu, Wenjie Chu, Chao Gao, Shaodong Cao, Shi Kang
    Frontiers in Oncology 2022 12
  • Quantitative assessment of mandibular bone marrow using computed tomography texture analysis for detect stage 0 medication-related osteonecrosis of the jaw
    Kotaro Ito, Hirotaka Muraoka, Naohisa Hirahara, Eri Sawada, Shoya Hirohata, Kohei Otsuka, Shunya Okada, Takashi Kaneda
    European Journal of Radiology 2021 145
  • Role of Texture Analysis in Oropharyngeal Carcinoma: A Systematic Review of the Literature
    Eleonora Bicci, Cosimo Nardi, Leonardo Calamandrei, Michele Pietragalla, Edoardo Cavigli, Francesco Mungai, Luigi Bonasera, Vittorio Miele
    Cancers 2022 14 10
  • Diagnostic Utility of Radiomics in Thyroid and Head and Neck Cancers
    Maryam Gul, Kimberley-Jane C. Bonjoc, David Gorlin, Chi Wah Wong, Amirah Salem, Vincent La, Aleksandr Filippov, Abbas Chaudhry, Muhammad H. Imam, Ammar A. Chaudhry
    Frontiers in Oncology 2021 11
  • Early Prediction of Planning Adaptation Requirement Indication Due to Volumetric Alterations in Head and Neck Cancer Radiotherapy: A Machine Learning Approach
    Vasiliki Iliadou, Ioannis Kakkos, Pantelis Karaiskos, Vassilis Kouloulias, Kalliopi Platoni, Anna Zygogianni, George K. Matsopoulos
    Cancers 2022 14 15
  • Quantification of Degree of Liver Fibrosis Using Fibrosis Area Fraction Based on Statistical Chi-Square Analysis of Heterogeneity of Liver Tissue Texture on Routine Ultrasound Images
    Janelle Li, Mustafa Qureshi, Avneesh Gupta, Stephan W. Anderson, Jorge Soto, Baojun Li
    Academic Radiology 2019 26 8
  • Quantitative Diffusion-Weighted Imaging Analyses to Predict Response to Neoadjuvant Immunotherapy in Patients with Locally Advanced Head and Neck Carcinoma
    Hedda J. van der Hulst, Joris L. Vos, Renaud Tissier, Laura A. Smit, Roland M. Martens, Regina G. H. Beets-Tan, Michiel W. M. van den Brekel, Charlotte L. Zuur, Jonas A. Castelijns
    Cancers 2022 14 24
  • Discrimination of HPV status using CT texture analysis: tumour heterogeneity in oropharyngeal squamous cell carcinomas
    Ji Young Lee, Miran Han, Kap Seon Kim, Su-Jin Shin, Jin Wook Choi, Eun Ju Ha
    Neuroradiology 2019 61 12
  • Quantitative assessment of normal submandibular glands and submandibular sialadenitis using CT texture analysis: A retrospective study
    Kotaro Ito, Hirotaka Muraoka, Naohisa Hirahara, Eri Sawada, Shunya Okada, Takashi Kaneda
    Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 2021 132 1
  • Tumor heterogeneity in oral and oropharyngeal squamous cell carcinoma assessed by texture analysis of CT and conventional MRI: a potential marker of overall survival
    Jiliang Ren, Ying Yuan, Yiqian Shi, Xiaofeng Tao
    Acta Radiologica 2019 60 10
  • Computed tomography texture analysis of mandibular condylar bone marrow in diabetes mellitus patients
    Kotaro Ito, Hirotaka Muraoka, Naohisa Hirahara, Eri Sawada, Shunya Okada, Takashi Kaneda
    Oral Radiology 2021 37 4
  • Radiomic features based on Hessian index for prediction of prognosis in head-and-neck cancer patients
    Quoc Cuong Le, Hidetaka Arimura, Kenta Ninomiya, Yutaro Kabata
    Scientific Reports 2020 10 1
  • Can texture analysis based on single unenhanced CT accurately predict the WHO/ISUP grading of localized clear cell renal cell carcinoma?
    Xu Wang, Ge Song, Haitao Jiang, Linfeng Zheng, Peipei Pang, Jingjing Xu
    Abdominal Radiology 2021 46 9
  • MRI Radiomics Signature of Pediatric Medulloblastoma Improves Risk Stratification Beyond Clinical and Conventional MR Imaging Features
    Hui Zheng, Jinning Li, Huanhuan Liu, Gui Ting, Qiufeng Yin, Rui Li, Ming Liu, Yuzhen Zhang, Shaofeng Duan, Yuhua Li, Dengbin Wang
    Journal of Magnetic Resonance Imaging 2023 58 1
  • Quantitative Assessment of Thyroid Nodules Using Dual-Energy Computed Tomography: Iodine Concentration Measurement and Multiparametric Texture Analysis for Differentiating between Malignant and Benign Lesions
    Hayato Tomita, Hirofumi Kuno, Kotaro Sekiya, Katharina Otani, Osamu Sakai, Baojun Li, Takashi Hiyama, Keiichi Nomura, Hidefumi Mimura, Tatsushi Kobayashi
    International Journal of Endocrinology 2020 2020
  • Multiparametric machine learning algorithm for human papillomavirus status and survival prediction in oropharyngeal cancer patients
    Sherwin Fazelpour, Maryam Vejdani‐Jahromi, Artem Kaliaev, Edwin Qiu, Deniz Goodman, V. Carlota Andreu‐Arasa, Noriyuki Fujima, Osamu Sakai
    Head & Neck 2023 45 11
  • Quantitative assessment of the parotid gland using computed tomography texture analysis to detect parotid sialadenitis
    Kotaro Ito, Hirotaka Muraoka, Naohisa Hirahara, Eri Sawada, Satoshi Tokunaga, Takashi Kaneda
    Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 2022 133 5
  • Texture analysis of routine T2 weighted fat-saturated images can identify head and neck paragangliomas – A pilot study
    Adarsh Ghosh, Soumya Ranjan Malla, Ashu Seith Bhalla, Smita Manchanda, Devasenathipathy Kandasamy, Rakesh Kumar
    European Journal of Radiology Open 2020 7
  • Utility of CT texture analysis to differentiate olfactory neuroblastoma from sinonasal squamous cell carcinoma
    Masaki Ogawa, Satoshi Osaga, Norio Shiraki, Daisuke Kawakita, Nobuhiro Hanai, Tsuneo Tamaki, Satoshi Tsukahara, Takatsune Kawaguchi, Misugi Urano, Yuta Shibamoto
    Scientific Reports 2021 11 1
  • Diagnostic Accuracy of Combined PET/CT with MRI, 18F-FDG PET/MRI, and 18F-FDG PET/CT in Patients with Oropharyngeal and Hypopharyngeal Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis
    Mania Kave, Kambiz Sadegi, Fateme Parooie, Morteza Salarzaei, Giorgio Treglia
    Contrast Media & Molecular Imaging 2021 2021
  • Baseline Computed Tomography Radiomic and Genomic Assessment of Head and Neck Squamous Cell Carcinoma
    Colin Y. Wang, Joseph J. Foy, Tanguy Y. Siewert, Daniel J. Haraf, Daniel T. Ginat
    Journal of Computer Assisted Tomography 2020 44 4
  • Quantitative assessment of the maxillary sinusitis using computed tomography texture analysis: odontogenic vs non-odontogenic etiology
    Kotaro Ito, Takumi Kondo, V. Carlota Andreu-Arasa, Baojun Li, Naohisa Hirahara, Hirotaka Muraoka, Osamu Sakai, Takashi Kaneda
    Oral Radiology 2022 38 3
  • Magnetic resonance imaging in naso-oropharyngeal carcinoma: role of texture analysis in the assessment of response to radiochemotherapy, a preliminary study
    Eleonora Bicci, Cosimo Nardi, Leonardo Calamandrei, Eleonora Barcali, Michele Pietragalla, Linda Calistri, Isacco Desideri, Francesco Mungai, Luigi Bonasera, Vittorio Miele
    La radiologia medica 2023 128 7
  • Enhanced Diagnostic Precision: Assessing Tumor Differentiation in Head and Neck Squamous Cell Carcinoma Using Multi-Slice Spiral CT Texture Analysis
    Lays Assolini Pinheiro de Oliveira, Diana Lorena Garcia Lopes, João Pedro Perez Gomes, Rafael Vinicius da Silveira, Daniel Vitor Aguiar Nozaki, Lana Ferreira Santos, Gabriela Castellano, Sérgio Lúcio Pereira de Castro Lopes, Andre Luiz Ferreira Costa
    Journal of Clinical Medicine 2024 13 14
  • Imaging biomarkers in upper gastrointestinal cancers
    Michela Gabelloni, Lorenzo Faggioni, Emanuele Neri
    BJR|Open 2019 1 1
  • Imaging of human papilloma virus (HPV) related oropharynx tumour: what we know to date
    Eleonora Bicci, Leonardo Calamandrei, Francesco Mungai, Vincenza Granata, Roberta Fusco, Federica De Muzio, Luigi Bonasera, Vittorio Miele
    Infectious Agents and Cancer 2023 18 1
  • Multiparametric Analysis of Tumor Morphological and Functional MR Parameters Potentially Predicts Local Failure in Pharynx Squamous Cell Carcinoma Patients
    Noriyuki Fujima, Yukie Shimizu, Daisuke Yoshida, Satoshi Kano, Takatsugu Mizumachi, Akihiro Homma, Koichi Yasuda, Rikiya Onimaru, Osamu Sakai, Kohsuke Kudo, Hiroki Shirato
    The Journal of Medical Investigation 2021 68 3.4
  • Pre-treatment MRI predictor of high-grade malignant parotid gland cancer
    Akira Baba, Hisashi Kessoku, Taisuke Akutsu, Eiji Shimura, Satoshi Matsushima, Ryo Kurokawa, Yoshiaki Ota, Takayuki Suzuki, Yuki Kawasumi, Hideomi Yamauchi, Koshi Ikeda, Hiroya Ojiri
    Oral Radiology 2021 37 4
  • Risk assessment of external apical root resorption associated with orthodontic treatment using computed tomography texture analysis
    Kotaro Ito, Mayu Kurasawa, Tadasu Sugimori, Hirotaka Muraoka, Naohisa Hirahara, Eri Sawada, Shinichi Negishi, Kazutaka Kasai, Takashi Kaneda
    Oral Radiology 2023 39 1
  • CT Texture Analysis: Defining and Integrating New Biomarkers for Advanced Oncologic Imaging in Precision Medicine: A Comment on “CT Texture Analysis Potentially Predicts Local Failure in Head and Neck Squamous Cell Carcinoma Treated with Chemoradiotherapy”
    M. Becker
    American Journal of Neuroradiology 2017 38 12
  • Quantitative detection of hepatocyte mixture based on terahertz time-domain spectroscopy using spectral image analysis methods
    Yuqi Cao, Hanxiao Guan, Weihang Qiu, Liran Shen, Heng Liu, Liangfei Tian, Dibo Hou, Guangxin Zhang
    Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2025 326
  • Texture Analysis in Volumetric Imaging for Dentomaxillofacial Radiology: Transforming Diagnostic Approaches and Future Directions
    Elaine Dinardi Barioni, Sérgio Lúcio Pereira de Castro Lopes, Pedro Ribeiro Silvestre, Clarissa Lin Yasuda, Andre Luiz Ferreira Costa
    Journal of Imaging 2024 10 11
  • Exploring Texture Analysis to Optimize Bladder Preservation in Muscle Invasive Bladder Cancer
    Prachi Mehta, Shwetabh Sinha, Sheetal Kashid, Debanjan Chakraborty, Ritesh Mhatre, Vedang Murthy
    Clinical Genitourinary Cancer 2023 21 3
  • Advanced CT imaging and clinical application for head and neck cancer
    Hirofumi Kuno
    Toukeibu Gan 2018 44 4
  • Application of Radiomics in Predicting the Prognosis of Medulloblastoma in Children
    Jiashu Chen, Wei Yang, Zesheng Ying, Ping Yang, Yuting Liang, Chen Liang, Baojin Shang, Hong Zhang, Yingjie Cai, Xiaojiao Peng, Hailang Sun, Wenping Ma, Ming Ge
    Children 2025 12 3
  • Data Science and Applications
    Mithun Shivakoti, Sai Charan Medaramatla, K. Jeeveth, K. Srinivasa Reddy
    2024 821
  • Improving outcome prediction in oropharyngeal carcinoma through the integration of diffusion-weighted magnetic resonance imaging radiomics
    Heleen Bollen, Rüveyda Dok, Frederik De Keyzer, Sarah Deschuymer, Annouschka Laenen, Johannes Devos, Vincent Vandecaveye, Sandra Nuyts
    Physics and Imaging in Radiation Oncology 2025 34
  • KEMORADYOTERAPİ İLE TEDAVİ EDİLEN BAŞ VE BOYUN SKUAMÖZ HÜCRELİ KANSERİNDE BİLGİSAYARLI TOMOGRAFİ HİSTOGRAM ANALİZİNİN SAĞKALIM SÜRESİ VE LOKAL KONTROL SÜRESİ İLE İLİŞKİSİNİN ARAŞTIRILMASI
    Sevtap Arslan, Yasin Sarıkaya
    Kocatepe Tıp Dergisi 2023 24 2
  • Oral cavity cancer and its pre-treatment radiological evaluation: A pictorial overview
    Vincent Lam, Owen O’Brien, Omed Amin, Ezra Nigar, Mahesh Kumar, Ravi Kumar Lingam
    European Journal of Radiology 2024 176
  • Radiological differences in computed tomography findings and texture analysis between cystic lymph node metastases of human papillomavirus-positive oropharyngeal cancer and second branchial cysts
    Akira Baba, Hisashi Kessoku, Ryo Kurokawa, Hideomi Yamauchi, Taisuke Akutsu, Eiji Shimura, Koshi Ikeda, Hiroya Ojiri
    Polish Journal of Radiology 2021 86
  • Texture Analysis of CT Images in Head and Neck Tumors Differentiation
    Yu. M. Khodjibekova, M. Kh. Khodjibekov, B. R. Akhmedov, A. Sh. Pattokhov, A. S. Nigmatdjanov
    Journal of radiology and nuclear medicine 2022 103 4-6
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 38 (12)
American Journal of Neuroradiology
Vol. 38, Issue 12
1 Dec 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.
CT Texture Analysis Potentially Predicts Local Failure in Head and Neck Squamous Cell Carcinoma Treated with Chemoradiotherapy
(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
H. Kuno, M.M. Qureshi, M.N. Chapman, B. Li, V.C. Andreu-Arasa, K. Onoue, M.T. Truong, O. Sakai
CT Texture Analysis Potentially Predicts Local Failure in Head and Neck Squamous Cell Carcinoma Treated with Chemoradiotherapy
American Journal of Neuroradiology Dec 2017, 38 (12) 2334-2340; DOI: 10.3174/ajnr.A5407

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
CT Texture Analysis Potentially Predicts Local Failure in Head and Neck Squamous Cell Carcinoma Treated with Chemoradiotherapy
H. Kuno, M.M. Qureshi, M.N. Chapman, B. Li, V.C. Andreu-Arasa, K. Onoue, M.T. Truong, O. Sakai
American Journal of Neuroradiology Dec 2017, 38 (12) 2334-2340; DOI: 10.3174/ajnr.A5407
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...

  • Prediction of Tumor Grade and Nodal Status in Oropharyngeal and Oral Cavity Squamous-cell Carcinoma Using a Radiomic Approach
  • MRI with DWI for the Detection of Posttreatment Head and Neck Squamous Cell Carcinoma: Why Morphologic MRI Criteria Matter
  • CT Texture Analysis: Defining and Integrating New Biomarkers for Advanced Oncologic Imaging in Precision Medicine: A Comment on "CT Texture Analysis Potentially Predicts Local Failure in Head and Neck Squamous Cell Carcinoma Treated with Chemoradiotherapy"
  • Crossref (68)
  • Google Scholar

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

  • Discrimination of Pancreatic Serous Cystadenomas From Mucinous Cystadenomas With CT Textural Features: Based on Machine Learning
    Jing Yang, Xinli Guo, Xuejin Ou, Weiwei Zhang, Xuelei Ma
    Frontiers in Oncology 2019 9
  • Applications of radiomics in precision diagnosis, prognostication and treatment planning of head and neck squamous cell carcinomas
    Stefan P. Haider, Barbara Burtness, Wendell G. Yarbrough, Seyedmehdi Payabvash
    Cancers of the Head & Neck 2020 5 1
  • Radiomics features of the primary tumor fail to improve prediction of overall survival in large cohorts of CT- and PET-imaged head and neck cancer patients
    Rachel B. Ger, Shouhao Zhou, Baher Elgohari, Hesham Elhalawani, Dennis M. Mackin, Joseph G. Meier, Callistus M. Nguyen, Brian M. Anderson, Casey Gay, Jing Ning, Clifton D. Fuller, Heng Li, Rebecca M. Howell, Rick R. Layman, Osama Mawlawi, R. Jason Stafford, Hugo Aerts, Laurence E. Court, Jason Chia-Hsun Hsieh
    PLOS ONE 2019 14 9
  • CT-based Radiomic Signatures for Predicting Histopathologic Features in Head and Neck Squamous Cell Carcinoma
    Pritam Mukherjee, Murilo Cintra, Chao Huang, Mu Zhou, Shankuan Zhu, A. Dimitrios Colevas, Nancy Fischbein, Olivier Gevaert
    Radiology: Imaging Cancer 2020 2 3
  • Predictive value of pretreatment MRI texture analysis in patients with primary nasopharyngeal carcinoma
    Jiaji Mao, Jin Fang, Xiaohui Duan, Zehong Yang, Minghui Cao, Fang Zhang, Liejing Lu, Xiang Zhang, Xiaoyan Wu, Yue Ding, Jun Shen
    European Radiology 2019 29 8
  • CT assessment of tumor heterogeneity and the potential for the prediction of human papillomavirus status in oropharyngeal squamous cell carcinoma
    Francesco Mungai, Giovanni Battista Verrone, Michele Pietragalla, Valentina Berti, Gloria Addeo, Isacco Desideri, Luigi Bonasera, Vittorio Miele
    La radiologia medica 2019 124 9
  • Machine-Learning-Based Prediction of Treatment Outcomes Using MR Imaging-Derived Quantitative Tumor Information in Patients with Sinonasal Squamous Cell Carcinomas: A Preliminary Study
    Noriyuki Fujima, Yukie Shimizu, Daisuke Yoshida, Satoshi Kano, Takatsugu Mizumachi, Akihiro Homma, Koichi Yasuda, Rikiya Onimaru, Osamu Sakai, Kohsuke Kudo, Hiroki Shirato
    Cancers 2019 11 6
  • Radiomics and radiogenomics in head and neck squamous cell carcinoma: Potential contribution to patient management and challenges
    Gema Bruixola, Elena Remacha, Ana Jiménez-Pastor, Delfina Dualde, Alba Viala, Jose Vicente Montón, Maider Ibarrola-Villava, Ángel Alberich-Bayarri, Andrés Cervantes
    Cancer Treatment Reviews 2021 99
  • Nodal-based radiomics analysis for identifying cervical lymph node metastasis at levels I and II in patients with oral squamous cell carcinoma using contrast-enhanced computed tomography
    Hayato Tomita, Tsuneo Yamashiro, Joichi Heianna, Toshiyuki Nakasone, Yusuke Kimura, Hidefumi Mimura, Sadayuki Murayama
    European Radiology 2021 31 10
  • Evaluation of CT-based radiomics signature and nomogram as prognostic markers in patients with laryngeal squamous cell carcinoma
    Linyan Chen, Haiyang Wang, Hao Zeng, Yi Zhang, Xuelei Ma
    Cancer Imaging 2020 20 1

More in this TOC Section

  • Chondrosarcoma vs Synovial Chondromatosis: Imaging
  • WHO Classification Update: Nasal&Skull Base Tumors
  • Peritumoral Signal in Vestibular Schwannomas
Show more Head & 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