Machine learning-based radiomics for predicting outcomes in cervical cancer patients undergoing concurrent chemoradiotherapy

Author:

Xin Wang,Rixin Su,Linrui Li,Zhihui Qin,Long Liu,Yu Zhang

Funder

Anhui Medical University

Publisher

Elsevier BV

Reference39 articles.

1. Cervical cancer;Cohen;Lancet.,2019

2. Cervical cancer, Version 3.2019, NCCN clinical practice guidelines in oncology;Koh;J. Natl. Compr. Cancer Netw.,2019

3. Primary or adjuvant chemoradiotherapy for cervical cancer with intraoperative lymph node metastasis - a review;Wenzel;Cancer Treat Rev.,2022

4. Combining intravoxel incoherent motion diffusion weighted imaging and texture analyzis for a nomogram to predict early treatment response to concurrent chemoradiotherapy in cervical cancer patients;Zheng;JAMA Oncol.,2021

5. Adjuvant chemotherapy versus adjuvant concurrent chemoradiotherapy after radical surgery for early-stage cervical cancer: a randomized, non-inferiority, multicenter trial;Weng;Front. Med.,2023

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