Development and validation of a computed tomography–based radiomics signature to predict response to neoadjuvant chemotherapy for locally advanced gastric …

W Wang, Y Peng, X Feng, Y Zhao… - JAMA network …, 2021 - jamanetwork.com
Importance Neoadjuvant therapies have been shown to decrease tumor burden, increase
resection rate, and improve the outcomes among patients with locally advanced gastric …

MRI-based radiomics nomogram may predict the response to induction chemotherapy and survival in locally advanced nasopharyngeal carcinoma

L Zhao, J Gong, Y Xi, M Xu, C Li, X Kang, Y Yin… - European …, 2020 - Springer
Objectives To establish and validate a radiomics nomogram for prediction of induction
chemotherapy (IC) response and survival in nasopharyngeal carcinoma (NPC) patients …

Radiomics for the prediction of treatment outcome and survival in patients with colorectal cancer: a systematic review

FCR Staal, DJ Van Der Reijd, M Taghavi… - Clinical colorectal …, 2021 - Elsevier
Prediction of outcome in patients with colorectal cancer (CRC) is challenging as a result of
lack of a robust biomarker and heterogeneity between and within tumors. The aim of this …

Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced …

D Liu, F Liu, X Xie, L Su, M Liu, X Xie, M Kuang… - European …, 2020 - Springer
Objectives We aimed to establish and validate an artificial intelligence–based radiomics
strategy for predicting personalized responses of hepatocellular carcinoma (HCC) to first …

[HTML][HTML] MRI-based clinical-radiomics model predicts tumor response before treatment in locally advanced rectal cancer

A Delli Pizzi, AM Chiarelli, P Chiacchiaretta… - Scientific Reports, 2021 - nature.com
Neoadjuvant chemo-radiotherapy (CRT) followed by total mesorectal excision (TME)
represents the standard treatment for patients with locally advanced (≥ T3 or N+) rectal …

[HTML][HTML] Application of radiomics and machine learning in head and neck cancers

Z Peng, Y Wang, Y Wang, S Jiang, R Fan… - … journal of biological …, 2021 - ncbi.nlm.nih.gov
With the continuous development of medical image informatics technology, more and more
high-throughput quantitative data could be extracted from digital medical images, which has …

CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study

D Gu, Y Hu, H Ding, J Wei, K Chen, H Liu, M Zeng… - European …, 2019 - Springer
Objective To develop and validate a radiomics-based nomogram for preoperatively
predicting grade 1 and grade 2/3 tumors in patients with pancreatic neuroendocrine tumors …

[HTML][HTML] Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A …

X Liu, D Zhang, Z Liu, Z Li, P Xie, K Sun, W Wei… - …, 2021 - thelancet.com
Background Accurate predictions of distant metastasis (DM) in locally advanced rectal
cancer (LARC) patients receiving neoadjuvant chemoradiotherapy (nCRT) are helpful in …

Development and validation of a novel computed-tomography enterography radiomic approach for characterization of intestinal fibrosis in Crohn's disease

X Li, D Liang, J Meng, J Zhou, Z Chen, S Huang, B Lu… - Gastroenterology, 2021 - Elsevier
Background & Aims No reliable method for evaluating intestinal fibrosis in Crohn's disease
(CD) exists; therefore, we developed a computed-tomography enterography (CTE)–based …

[HTML][HTML] Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer

S Wang, Z Liu, Y Rong, B Zhou, Y Bai, W Wei… - Radiotherapy and …, 2019 - Elsevier
Background and purpose Recurrence is the main risk for high-grade serous ovarian cancer
(HGSOC) and few prognostic biomarkers were reported. In this study, we proposed a novel …