CT-based radiomic signatures for prediction of pathologic complete response in esophageal squamous cell carcinoma after neoadjuvant chemoradiotherapy

Z Yang, B He, X Zhuang, X Gao, D Wang… - Journal of Radiation …, 2019 - academic.oup.com
The objective of this study was to build models to predict complete pathologic response
(pCR) after neoadjuvant chemoradiotherapy (nCRT) in esophageal squamous cell …

Assessment of intratumoral and peritumoral computed tomography radiomics for predicting pathological complete response to neoadjuvant chemoradiation in patients …

Y Hu, C Xie, H Yang, JWK Ho, J Wen, L Han… - JAMA network …, 2020 - jamanetwork.com
Importance For patients with locally advanced esophageal squamous cell carcinoma,
neoadjuvant chemoradiation has been shown to improve long-term outcomes, but the …

MR radiomics predicts pathological complete response of esophageal squamous cell carcinoma after neoadjuvant chemoradiotherapy: a multicenter study

Y Liu, Y Wang, X Wang, L Xue, H Zhang, Z Ma, H Deng… - Cancer Imaging, 2024 - Springer
Background More than 40% of patients with resectable esophageal squamous cell cancer
(ESCC) achieve pathological complete response (pCR) after neoadjuvant …

Predicting the local response of esophageal squamous cell carcinoma to neoadjuvant chemoradiotherapy by radiomics with a machine learning method using 18F …

Y Murakami, D Kawahara, S Tani, K Kubo, T Katsuta… - Diagnostics, 2021 - mdpi.com
Background: This study aimed to propose a machine learning model to predict the local
response of resectable locally advanced esophageal squamous cell carcinoma (LA-ESCC) …

A nomogram based on pretreatment CT radiomics features for predicting complete response to chemoradiotherapy in patients with esophageal squamous cell cancer

HS Luo, SF Huang, HY Xu, XY Li, SX Wu, DH Wu - Radiation Oncology, 2020 - Springer
Purpose To develop and validate a nomogram model to predict complete response (CR)
after concurrent chemoradiotherapy (CCRT) in esophageal squamous cell carcinoma …

Development and validation of a radiomics nomogram model for predicting postoperative recurrence in patients with esophageal squamous cell cancer who achieved …

Q Qiu, J Duan, H Deng, Z Han, J Gu, NJ Yue… - Frontiers in …, 2020 - frontiersin.org
Background and purpose: Although patients with esophageal squamous cell carcinoma
(ESCC) can achieve a pathological complete response (pCR) after neoadjuvant …

A meta-analysis for using radiomics to predict complete pathological response in esophageal cancer patients receiving neoadjuvant chemoradiation

YS Kao, YEN Hsu - in vivo, 2021 - iv.iiarjournals.org
Background: Preservation of organ function is important in cancer treatment. The 'watch-and-
wait'strategy is an important approach in management of esophageal cancer. However …

The MRI radiomics signature can predict the pathologic response to neoadjuvant chemotherapy in locally advanced esophageal squamous cell carcinoma

S Lu, C Wang, Y Liu, F Chu, Z Jia, H Zhang, Z Wang… - European …, 2024 - Springer
Objectives To investigate the MRI radiomics signatures in predicting pathologic response
among patients with locally advanced esophageal squamous cell carcinoma (ESCC), who …

[HTML][HTML] Gene expression analysis of pretreatment biopsies predicts the pathological response of esophageal squamous cell carcinomas to neo-chemoradiotherapy

J Wen, H Yang, MZ Liu, KJ Luo, H Liu, Y Hu, X Zhang… - Annals of …, 2014 - Elsevier
Background Neoadjuvant chemoradiotherapy (neo-CRT) followed by surgery has been
shown to improve esophageal squamous cell carcinoma (ESCC) patients' survival …

Radiomics Nomogram with added nodal features improves treatment response prediction in locally advanced esophageal squamous cell carcinoma: a Multicenter …

K Li, S Zhang, Y Hu, A Cai, Y Ao, J Gong… - Annals of Surgical …, 2023 - Springer
Objective We aimed to develop and validate a radiomics nomogram and determine the
value of radiomic features from lymph nodes (LNs) for predicting pathological complete …