Radiomics in precision medicine for gastric cancer: opportunities and challenges

Q Chen, L Zhang, S Liu, J You, L Chen, Z Jin… - European …, 2022 - Springer
Objectives Radiomic features derived from routine medical images show great potential for
personalized medicine in gastric cancer (GC). We aimed to evaluate the current status and …

Contemporary management of locally advanced and recurrent rectal cancer: views from the PelvEx Collaborative

PelvEx Collaborative - Cancers, 2022 - mdpi.com
Simple Summary Pelvic exenteration is a complex procedure performed for the
management of advanced pelvic cancers. It often involves the resection of several pelvic …

A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: a …

Y Cui, J Zhang, Z Li, K Wei, Y Lei, J Ren, L Wu… - …, 2022 - thelancet.com
Background Accurate prediction of treatment response to neoadjuvant chemotherapy
(NACT) in individual patients with locally advanced gastric cancer (LAGC) is essential for …

CT-based radiomics analysis in the prediction of response to neoadjuvant chemotherapy in locally advanced gastric cancer: A dual-center study

R Song, Y Cui, J Ren, J Zhang, Z Yang, D Li, Z Li… - Radiotherapy and …, 2022 - Elsevier
Background To investigate the ability of the CT-based radiomics models for pretreatment
prediction of the response to neoadjuvant chemotherapy (NAC) in patients with locally …

Deep learning predicts resistance to neoadjuvant chemotherapy for locally advanced gastric cancer: a multicenter study

J Zhang, Y Cui, K Wei, Z Li, D Li, R Song, J Ren, X Gao… - Gastric Cancer, 2022 - Springer
Background Accurate pre-treatment prediction of neoadjuvant chemotherapy (NACT)
resistance in patients with locally advanced gastric cancer (LAGC) is essential for timely …

Development and validation of a machine learning-based 18F-fluorodeoxyglucose PET/CT radiomics signature for predicting gastric cancer survival

H Zhi, Y Xiang, C Chen, W Zhang, J Lin, Z Gao, Q Shen… - Cancer Imaging, 2024 - Springer
Background Survival prognosis of patients with gastric cancer (GC) often influences
physicians' choice of their follow-up treatment. This study aimed to develop a positron …

Imaging in gastric cancer: current practice and future perspectives

T Giandola, C Maino, G Marrapodi, M Ratti, M Ragusi… - Diagnostics, 2023 - mdpi.com
Gastric cancer represents one of the most common oncological causes of death worldwide.
In order to treat patients in the best possible way, the staging of gastric cancer should be …

The added value of radiomics from dual-energy spectral CT derived iodine-based material decomposition images in predicting histological grade of gastric cancer

C Shi, Y Yu, J Yan, C Hu - BMC Medical Imaging, 2022 - Springer
Background The histological differentiation grades of gastric cancer (GC) are closely related
to treatment choices and prognostic evaluation. Radiomics from dual-energy spectral CT …

[HTML][HTML] Global progress and future prospects of early gastric cancer screening

Y Huang, Y Shao, X Yu, C Chen, J Guo, G Ye - Journal of Cancer, 2024 - ncbi.nlm.nih.gov
Gastric cancer is a prevalent malignancy that poses a serious threat to global health.
Despite advances in medical technologies, screening methods, and public awareness …

Contrast-enhanced computed tomography radiomics in predicting primary site response to neoadjuvant chemotherapy in high-risk neuroblastoma

H Wang, J Qin, X Chen, T Zhang, L Zhang, H Ding… - Abdominal …, 2023 - Springer
Purpose To explore the clinical value of contrast-enhanced computed tomography (CECT)
radiomics in predicting primary site response to neoadjuvant chemotherapy in high-risk …