An overview of meta-analyses on radiomics: more evidence is needed to support clinical translation

J Zhong, J Lu, G Zhang, S Mao, H Chen, Q Yin, Y Hu… - Insights into …, 2023 - Springer
Objective To conduct an overview of meta-analyses of radiomics studies assessing their
study quality and evidence level. Methods A systematical search was updated via peer …

[HTML][HTML] The gap before real clinical application of imaging-based machine-learning and radiomic models for chemoradiation outcome prediction in esophageal …

Z Yang, J Gong, J Li, H Sun, Y Pan… - International Journal of …, 2023 - journals.lww.com
Background: Due to tumoral heterogeneity and the lack of robust biomarkers, the prediction
of chemoradiotherapy response and prognosis in patients with esophageal cancer (EC) is …

Radiomics features of computed tomography and magnetic resonance imaging for predicting response to transarterial chemoembolization in hepatocellular …

L Feng, Q Chen, L Huang, L Long - Frontiers in Oncology, 2023 - frontiersin.org
Purpose To examine the methodological quality of radiomics-related studies and evaluate
the ability of radiomics to predict treatment response to transarterial chemoembolization …

Performance of radiomics-based artificial intelligence systems in the diagnosis and prediction of treatment response and survival in esophageal cancer: a systematic …

N Menon, N Guidozzi, S Chidambaram… - Diseases of the …, 2023 - academic.oup.com
Radiomics can interpret radiological images with more detail and in less time compared to
the human eye. Some challenges in managing esophageal cancer can be addressed by …

Radiomics-clinical nomogram for preoperative lymph node metastasis prediction in esophageal carcinoma

X Geng, Y Zhang, Y Li, Y Cai, J Liu… - British Journal of …, 2024 - academic.oup.com
Objectives This research aimed to develop a radiomics-clinical nomogram based on
enhanced thin-section CT radiomics and clinical features for the purpose of predicting the …

[HTML][HTML] CT-based radiomics for predicting lymph node metastasis in esophageal cancer: a systematic review and meta-analysis

L Liu, H Liao, Y Zhao, J Yin, C Wang, L Duan… - Frontiers in …, 2024 - frontiersin.org
Objective We aimed to evaluate the diagnostic effectiveness of computed tomography (CT)-
based radiomics for predicting lymph node metastasis (LNM) in patients diagnosed with …

Gastro-Esophageal Cancer: Can Radiomic Parameters from Baseline 18F-FDG-PET/CT Predict the Development of Distant Metastatic Disease?

R Hinzpeter, SA Mirshahvalad, R Kulanthaivelu… - Diagnostics, 2024 - mdpi.com
We aimed to determine if clinical parameters and radiomics combined with sarcopenia
status derived from baseline 18F-FDG-PET/CT could predict developing metastatic disease …

Could 18-FDG PET-CT Radiomic Features Predict the Locoregional Progression-Free Survival in Inoperable or Unresectable Oesophageal Cancer?

B De Bari, L Lefevre, J Henriques, R Gatta, A Falcoz… - Cancers, 2022 - mdpi.com
Simple Summary Almost 20% of patients with a locally advanced oesophageal cancer
presented long-term local control after exclusive chemoradiotherapy (CRT) and could …

Radiomic applications in upper gastrointestinal cancer surgery

JP Doyle, PH Patel, N Petrou, J Shur, M Orton… - … Archives of Surgery, 2023 - Springer
Introduction Cross-sectional imaging plays an integral role in the management of upper
gastrointestinal (UGI) cancer, from initial diagnosis and staging to determining appropriate …

[PDF][PDF] 1XIAOTAO GENG, 2YAPING ZHANG, 1YANG LI, 1YUANYUAN CAI, 1JIE LIU, 3TIANXIANG GENG, 1XIANGDI MENG, 1FURONG HAO

X Meng, F Hao - 2024 - scholar.archive.org
Objectives: This research aimed to develop a radiomics-clinical nomogram based on
enhanced thin-section computed tomography (CT) radiomics and clinical features for the …