Whole-lesion ADC histogram and texture analysis in predicting recurrence of cervical cancer treated with CCRT-Reference-Cited by-同舟云学术

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Whole-lesion ADC histogram and texture analysis in predicting recurrence of cervical cancer treated with CCRT

Published:2017-09-28 Issue:54 Volume:8 Page:92442-92453
ISSN:1949-2553
Container-title:Oncotarget
language:en
Short-container-title:Oncotarget

Author:

Meng Jie¹,Zhu Lijing²,Zhu Li¹,Xie Li²,Wang Huanhuan¹,Liu Song¹,Yan Jing²,Liu Baorui²,Guan Yue³,He Jian¹,Ge Yun³,Zhou Zhengyang¹,Yang Xiaofeng⁴

Affiliation:

1. Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China

2. The Comprehensive Cancer Centre of Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China

3. School of Electronic Science and Engineering, Nanjing University, Nanjing, 210046, China

4. Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia 30322, USA

Publisher

Impact Journals, LLC

Subject

Oncology

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1. Texture analysis of CT colonography to develop a novel imaging biomarker for the management of colorectal cancer;Annals of Gastroenterological Surgery;2024-08-26

2. Whole-tumor histogram analysis of apparent diffusion coefficients for predicting lymphovascular space invasion in stage IB-IIA cervical cancer;Frontiers in Oncology;2023-06-19

3. Greater increases in intratumoral apparent diffusion coefficients after chemoradiotherapy predict better overall survival of patients with cervical cancer;PLOS ONE;2023-05-11

4. Prognosis prediction of uterine cervical cancer using changes in the histogram and texture features of apparent diffusion coefficient during definitive chemoradiotherapy;PLOS ONE;2023-03-31

5. MRI-based whole-tumor radiomics to classify the types of pediatric posterior fossa brain tumor;Neurochirurgie;2022-12

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