Access the full text.
Sign up today, get DeepDyve free for 14 days.
E. Ziegel (2003)
The Elements of Statistical LearningTechnometrics, 45
(2015)
Neoadjuvant chemoradi- otherapy plus surgery versus surgery alone for oesophageal or junctional cancer (CROSS): long-term results of a randomised controlled trial
N. Rizk, Laura Tang, P. Adusumilli, M. Bains, T. Akhurst, D. Ilson, K. Goodman, V. Rusch (2009)
Predictive Value of Initial PET-SUVmax in Patients with Locally Advanced Esophageal and Gastroesophageal Junction AdenocarcinomaJournal of Thoracic Oncology, 4
F. Tixier, C. Rest, M. Hatt, N. Albarghach, O. Pradier, J. Metges, L. Corcos, D. Visvikis (2011)
Intratumor Heterogeneity Characterized by Textural Features on Baseline 18F-FDG PET Images Predicts Response to Concomitant Radiochemotherapy in Esophageal CancerThe Journal of Nuclear Medicine, 52
R. Kumar, S. Ghosh, A. Verma, Anuradha, Talukdar, M. Deka, M. Wagh, H. Bahar, Ritesh, Tapkire, Kali Chakraborty, R. Kannan (2015)
Expression as a Surrogate Marker for HPV Infection in Esophageal Squamous Cell Carcinoma can Predict Response to Neo-Adjuvant Chemotherapy
K. Hatogai, S. Fujii, T. Kojima, H. Daiko, T. Kadota, T. Fujita, T. Yoshino, T. Doi, Y. Takiguchi, A. Ohtsu (2016)
Prognostic significance of tumor regression grade for patients with esophageal squamous cell carcinoma after neoadjuvant chemotherapy followed by surgeryJournal of Surgical Oncology, 113
T. Matsuda, W. Ajiki, T. Marugame, A. Ioka, H. Tsukuma, T. Sobue (2011)
Population-based survival of cancer patients diagnosed between 1993 and 1999 in Japan: a chronological and international comparative study.Japanese journal of clinical oncology, 41 1
M Kukar (2015)
10.1001/jamasurg.2014.3867JAMA Sur, 150
F Lordick (2016)
10.1093/annonc/mdw329Ann Oncol, 27
Masayuki Watanabe, Y. Toh, R. Ishihara, K. Kono, H. Matsubara, Kentaro Murakami, K. Muro, H. Numasaki, T. Oyama, S. Ozawa, H. Saeki, Koji Tanaka, T. Tsushima, M. Ueno, T. Uno, T. Yoshio, Shiyori Usune, A. Takahashi, Hiroaki Miyata (2021)
Comprehensive registry of esophageal cancer in Japan, 2014Esophagus, 19
Yihuai Hu, C. Xie, Hong Yang, J. Ho, J. Wen, Lu-Jun Han, Keith Chiu, J. Fu, V. Vardhanabhuti (2020)
Assessment of Intratumoral and Peritumoral Computed Tomography Radiomics for Predicting Pathological Complete Response to Neoadjuvant Chemoradiation in Patients With Esophageal Squamous Cell CarcinomaJAMA Network Open, 3
Yihuai Hu, C. Xie, Hong Yang, J. Ho, J. Wen, Lu-Jun Han, K. Lam, I. Wong, S. Law, Keith Chiu, V. Vardhanabhuti, J. Fu (2020)
Computed tomography-based deep-learning prediction of neoadjuvant chemoradiotherapy treatment response in esophageal squamous cell carcinoma.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
R. Siegel, K. Miller, Hannah Fuchs, A. Jemal (2022)
Cancer statistics, 2022CA: A Cancer Journal for Clinicians, 72
R. Alfieri, Giovanna Pintacuda, M. Cagol, T. Occhipinti, I. Capraro, M. Scarpa, G. Zanchettin, F. Cavallin, M. Michelotto, L. Giacomelli, E. Ancona, C. Castoro (2015)
Oesophageal cancer: assessment of tumour response to chemoradiotherapy with tridimensional CTLa radiologia medica, 120
(2009)
Long-term results of a randomized trial of surgery with or without preoperative chemotherapy in esophageal can- cer
WH Allum (2009)
10.1200/JCO.2009.22.2083J Clin Oncol, 27
Dakai Zhang, Wei Zhang, Wenzhi Liu, Y. Mao, Z. Fu, Jia Liu, Wei Huang, Zi-cheng Zhang, D. An, Baosheng Li (2017)
Human papillomavirus infection increases the chemoradiation response of esophageal squamous cell carcinoma based on P53 mutation.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 124 1
Zhenyu Liu, Shuo Wang, D. Dong, Jingwei Wei, Cheng Fang, Xuezhi Zhou, Kai Sun, Longfei Li, Bo Li, Meiyun Wang, Jie Tian (2019)
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and ChallengesTheranostics, 9
S. Al-Batran, R. Hofheinz, C. Pauligk, H. Kopp, G. Haag, K. Luley, J. Meiler, N. Homann, S. Lorenzen, H. Schmalenberg, S. Probst, M. Koenigsmann, M. Egger, N. Prasnikar, K. Caca, J. Trojan, U. Martens, A. Block, W. Fischbach, R. Mahlberg, M. Clemens, G. Illerhaus, K. Zirlik, D. Behringer, W. Schmiegel, M. Pohl, M. Heike, U. Ronellenfitsch, M. Schuler, W. Bechstein, A. Königsrainer, T. Gaiser, P. Schirmacher, W. Hozaeel, Alexander Reichart, T. Goetze, M. Sievert, E. Jäger, S. Mönig, A. Tannapfel (2016)
Histopathological regression after neoadjuvant docetaxel, oxaliplatin, fluorouracil, and leucovorin versus epirubicin, cisplatin, and fluorouracil or capecitabine in patients with resectable gastric or gastro-oesophageal junction adenocarcinoma (FLOT4-AIO): results from the phase 2 part of a multiceThe Lancet. Oncology, 17 12
J. Ajani, K. Winter, G. Okawara, J. Donohue, P. Pisters, C. Crane, J. Greskovich, P. Anne, J. Bradley, C. Willett, T. Rich (2006)
Phase II trial of preoperative chemoradiation in patients with localized gastric adenocarcinoma (RTOG 9904): quality of combined modality therapy and pathologic response.Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 24 24
Z. Hou, W. Ren, Shuangshuang Li, Juan Liu, Yu Sun, Jing Yan, S. Wan (2017)
Radiomic analysis in contrast-enhanced CT: predict treatment response to chemoradiotherapy in esophageal carcinomaOncotarget, 8
Xiance Jin, Xiaomin Zheng, Didi Chen, Juebin Jin, Guojie Zhu, Xia Deng, Ce Han, Changfei Gong, Yongqiang Zhou, Cong Liu, C. Xie (2019)
Prediction of response after chemoradiation for esophageal cancer using a combination of dosimetry and CT radiomicsEuropean Radiology
A. Hirata, K. Hayano, G. Ohira, Shunsuke Imanishi, T. Hanaoka, Kentaro Murakami, T. Aoyagi, K. Shuto, H. Matsubara (2020)
Volumetric histogram analysis of apparent diffusion coefficient for predicting pathological complete response and survival in esophageal cancer patients treated with chemoradiotherapy.American journal of surgery
J. Ajani, James Barthel, D. Bentrem, Thomas D'Amico, P. Das, Crystal Denlinger, Charles Fuchs, Hans Gerdes, Robert Glasgow, James Hayman, W. Hofstetter, D. Ilson, Rajesh Keswani, L. Kleinberg, W. Korn, A. Lockhart, M. Mulcahy, M. Orringer, R. Osarogiagbon, James Posey, A. Sasson, Walter Scott, Stephen Shibata, V. Strong, Thomas Varghese, Graham Warren, M. Washington, C. Willett, Cameron Wright (2011)
Esophageal and esophagogastric junction cancers.Journal of the National Comprehensive Cancer Network : JNCCN, 9 8
N. Ando, H. Kato, H. Igaki, M. Shinoda, S. Ozawa, H. Shimizu, Tsutomu Nakamura, H. Yabusaki, N. Aoyama, A. Kurita, K. Ikeda, T. Kanda, T. Tsujinaka, Kenichi Nakamura, H. Fukuda (2011)
A Randomized Trial Comparing Postoperative Adjuvant Chemotherapy with Cisplatin and 5-Fluorouracil Versus Preoperative Chemotherapy for Localized Advanced Squamous Cell Carcinoma of the Thoracic Esophagus (JCOG9907)Annals of Surgical Oncology, 19
P. Lambin, Emmanuel Rios-Velazquez, R. Leijenaar, S. Carvalho, R. Stiphout, P. Granton, C. Zegers, R. Gillies, R. Boellard, A. Dekker, H. Aerts (2012)
Radiomics: extracting more information from medical images using advanced feature analysis.European journal of cancer, 48 4
Kenji Suzuki, Pingkun Yan, Fei Wang, D. Shen (2012)
Machine Learning in Medical ImagingInternational Journal of Biomedical Imaging, 2012
M. Schmidt, E. Bollschweiler, M. Dietlein, S. Mönig, C. Kobe, D. Vallboehmer, W. Eschner, A. Hölscher, H. Schicha (2009)
Mean and maximum standardized uptake values in [18F]FDG-PET for assessment of histopathological response in oesophageal squamous cell carcinoma or adenocarcinoma after radiochemotherapyEuropean Journal of Nuclear Medicine and Molecular Imaging, 36
Yang Li, He-Cheng Huang, Long-Qi Chen, Li-Yan Xu, E. Li, Jian-jun Zhang (2017)
Predictive biomarkers for response of esophageal cancer to chemo(radio)therapy: A systematic review and meta-analysis.Surgical oncology, 26 4
K Kato (2022)
10.1200/JCO.2022.40.4_suppl.238J Clin Oncol, 40
J. Elliott, N. O'Farrell, S. King, D. Halpenny, V. Malik, C. Muldoon, C. Johnston, J. Reynolds (2014)
Value of CT–PET after neoadjuvant chemoradiation in the prediction of histological tumour regression, nodal status and survival in oesophageal adenocarcinomaBritish Journal of Surgery, 101
E. Ancona, A. Ruol, S. Santi, S. Merigliano, V. Sileni, H. Koussis, G. Zaninotto, L. Bonavina, A. Peracchia (2001)
Only pathologic complete response to neoadjuvant chemotherapy improves significantly the long term survival of patients with resectable esophageal squamous cell carcinomaCancer, 91
Y. Kanda (2012)
Investigation of the freely available easy-to-use software ‘EZR' for medical statisticsBone Marrow Transplantation, 48
K. Meredith, J. Weber, K. Turaga, E. Siegel, J. Mcloughlin, S. Hoffe, Melis Marcovalerio, Nilay Shah, S. Kelley, R. Karl (2010)
Pathologic Response after Neoadjuvant Therapy is the Major Determinant of Survival in Patients with Esophageal CancerAnnals of Surgical Oncology, 17
H. Sung, J. Ferlay, R. Siegel, M. Laversanne, I. Soerjomataram, A. Jemal, F. Bray (2021)
Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 CountriesCA: A Cancer Journal for Clinicians, 71
Japan Society (2016)
Japanese Classification of Esophageal Cancer, 11th Edition: part IEsophagus, 14
B. Burmeister, B. Smithers, V. Gebski, L. Fitzgerald, R. Simes, P. Devitt, S. Ackland, D. Gotley, D. Joseph, J. Millar, J. North, E. Walpole, J. Denham (2005)
Surgery alone versus chemoradiotherapy followed by surgery for resectable cancer of the oesophagus: a randomised controlled phase III trial.The Lancet. Oncology, 6 9
D. Jones (2009)
Complete Pathologic Response After Neoadjuvant Chemoradiotherapy for Esophageal Cancer Is Associated With Enhanced SurvivalYearbook of Surgery, 2009
G. Tomasello, F. Petrelli, M. Ghidini, E. Pezzica, R. Passalacqua, F. Steccanella, L. Turati, G. Sgroi, S. Barni (2017)
Tumor regression grade and survival after neoadjuvant treatment in gastro-esophageal cancer: A meta-analysis of 17 published studies.European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology, 43 9
G. Piessen, G. Petyt, A. Duhamel, X. Mirabel, D. Huglo, C. Mariette (2013)
Ineffectiveness of 18F-Fluorodeoxyglucose Positron Emission Tomography in the Evaluation of Tumor Response After Completion of Neoadjuvant Chemoradiation in Esophageal CancerAnnals of Surgery, 258
S. Mayanagi, T. Irino, H. Kawakubo, Y. Kitagawa (2019)
Neoadjuvant treatment strategy for locally advanced thoracic esophageal cancerAnnals of Gastroenterological Surgery, 3
T. Kadota, K. Hatogai, T. Yano, T. Fujita, T. Kojima, H. Daiko, S. Fujii (2018)
Pathological tumor regression grade of metastatic tumors in lymph node predicts prognosis in esophageal cancer patientsCancer Science, 109
M. Hatt, M. Majdoub, M. Vallières, F. Tixier, C. Rest, D. Groheux, E. Hindié, A. Martineau, O. Pradier, R. Hustinx, R. Perdrisot, R. Guillevin, I. Naqa, D. Visvikis (2015)
18F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi–Cancer Site Patient CohortThe Journal of Nuclear Medicine, 56
P. Rossum, Cai Xu, D. Fried, L. Goense, L. Court, Steven Lin (2016)
The emerging field of radiomics in esophageal cancer: current evidence and future potential.Translational cancer research, 5 4
Florian Lordick, C. Mariette, K. Haustermans, R. Obermannova, D. Arnold (2013)
Oesophageal cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up.Annals of oncology : official journal of the European Society for Medical Oncology, 24 Suppl 6
Zhining Yang, Binghui He, Xinyu Zhuang, Xiaoying Gao, Dandan Wang, Mei Li, Zhixiong Lin, R. Luo (2019)
CT-based radiomic signatures for prediction of pathologic complete response in esophageal squamous cell carcinoma after neoadjuvant chemoradiotherapyJournal of Radiation Research, 60
Yung-Shuo Kao, Y. Hsu (2021)
A Meta-Analysis for Using Radiomics to Predict Complete Pathological Response in Esophageal Cancer Patients Receiving Neoadjuvant ChemoradiationIn Vivo, 35
R. Kumar, S. Ghosh, A. Verma, Anuradha Talukdar, M. Deka, M. Wagh, H. Bahar, Ritesh Tapkire, Kali Chakraborty, R. Kannan (2015)
p16 Expression as a Surrogate Marker for HPV Infection in Esophageal Squamous Cell Carcinoma can Predict Response to Neo-Adjuvant Chemotherapy.Asian Pacific journal of cancer prevention : APJCP, 16 16
C. Yip, Fergus Davnall, R. Kozarski, D. Landau, D. Landau, G. Cook, P. Ross, R. Mason, V. Goh, V. Goh (2015)
Assessment of changes in tumor heterogeneity following neoadjuvant chemotherapy in primary esophageal cancer.Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus, 28 2
(2022)
A ran- domized controlled phase III trial comparing two chemotherapy regimen and chemoradiotherapy regimen as neoadjuvant treat- ment for locally advanced esophageal cancer, JCOG1109 NExT study
Bert-Ram Sah, K. Owczarczyk, M. Siddique, G. Cook, V. Goh (2018)
Radiomics in esophageal and gastric cancerAbdominal radiology (New York), 44
J Shapiro (2015)
10.1016/S1470-2045(15)00040-6Lancet Oncol, 16
J. Qu, Ling Ma, Yanan Lu, Zhaoqi Wang, Jia Guo, Hongkai Zhang, Xu Yan, Hui Liu, I. Kamel, J. Qin, Hailiang Li (2022)
DCE-MRI radiomics nomogram can predict response to neoadjuvant chemotherapy in esophageal cancerDiscover. Oncology, 13
Masayuki Watanabe, Y. Tachimori, T. Oyama, Y. Toh, H. Matsubara, M. Ueno, K. Kono, T. Uno, R. Ishihara, K. Muro, H. Numasaki, Koji Tanaka, S. Ozawa, Kentaro Murakami, Shiyori Usune, A. Takahashi, H. Miyata (2020)
Comprehensive registry of esophageal cancer in Japan, 2013Esophagus, 18
D. Cunningham, W. Allum, S. Stenning, J. Thompson, C. Velde, M. Nicolson, J. Scarffe, F. Lofts, S. Falk, T. Iveson, David Smith, R. Langley, M. Verma, S. Weeden, Y. Chua, MAGIC Participants (2006)
Perioperative chemotherapy versus surgery alone for resectable gastroesophageal cancer.The New England journal of medicine, 355 1
Jing-Wei Lin, Chung-Ping Hsu, H. Yeh, C. Chuang, Chih‐Hung Lin (2018)
The impact of pathological complete response after neoadjuvant chemoradiotherapy in locally advanced squamous cell carcinoma of esophagusJournal of the Chinese Medical Association, 81
R. Beukinga, J. Hulshoff, V. Mul, W. Noordzij, G. Kats-Ugurlu, R. Slart, J. Plukker (2018)
Prediction of Response to Neoadjuvant Chemotherapy and Radiation Therapy with Baseline and Restaging 18F-FDG PET Imaging Biomarkers in Patients with Esophageal Cancer.Radiology, 287 3
B. Erickson, P. Korfiatis, Z. Akkus, T. Kline (2017)
Machine Learning for Medical Imaging.Radiographics : a review publication of the Radiological Society of North America, Inc, 37 2
PurposeAccurate prediction of prognosis and pathological response to neoadjuvant chemotherapy (NAC) is crucial for optimizing treatment strategies for patients with locally advanced esophageal cancer (LA-EC). This study aimed to investigate the use of radiomics for pretreatment CT in predicting the pathological response of patients with LA-EC to NAC.MethodsOverall, 144 patients (145 lesions) with LA-EC who underwent pretreatment contrast-enhanced CT and then received NAC followed by surgery with pathological tumor regression grade (TRG) analysis were enrolled. The obtained dataset was randomly divided into training and validation cohorts using fivefold cross-validation. CT-based radiomic features were extracted followed by the feature selection process using the variance threshold, SelectKBest, and least absolute shrinkage and selection operator methods. The radiomic model was constructed using six machine learning classifiers, and predictive performance was evaluated using ROC curve analysis in the training and validation cohorts.ResultsAll patients were divided into responders (n = 40, 28%) and non-responders (n = 104, 72%) based on the TRG results and a statistically significant split by overall survival analysis (0.899 [0.754–0.961] vs. 0.630 [0.510–0.729], respectively). There were no significant differences between responders and non-responders in terms of age, sex, tumor size, tumor location, or histopathology. The mean AUC of fivefold in the validation cohort was 0.720 (confidence interval [CI]: 0.594–0.982), and the best AUC of the radiomic model using logistic regression to predict the non-responders was 0.815 (CI: 0.626–1.000, sensitivity 0.620, specificity 0.860).ConclusionA radiomic model derived from contrast-enhanced CT may help stratify chemotherapy effect prediction and improve clinical decision-making.Graphical Abstract[graphic not available: see fulltext]
Abdominal Radiology – Springer Journals
Published: Aug 1, 2023
Keywords: Esophageal neoplasm; Clinical decision-making; Survival analysis; Neoadjuvant chemotherapy; Computed tomography
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.