Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling

YP Zhang, XY Zhang, YT Cheng, B Li, XZ Teng… - Military Medical …, 2023 - Springer
Modern medicine is reliant on various medical imaging technologies for non-invasively
observing patients' anatomy. However, the interpretation of medical images can be highly …

Radiomics in oncology, part 1: technical principles and gastrointestinal application in CT and MRI

D Caruso, M Polici, M Zerunian, F Pucciarelli, G Guido… - Cancers, 2021 - mdpi.com
Simple Summary Part I is an overview aimed to investigate some technical principles and
the main fields of radiomic application in gastrointestinal oncologic imaging (CT and MRI) …

Computed tomography-based delta-radiomics analysis for discriminating radiation pneumonitis in patients with esophageal cancer after radiation therapy

L Wang, Z Gao, C Li, L Sun, J Li, J Yu… - International Journal of …, 2021 - Elsevier
Purpose Our purpose was to construct a computed tomography (CT)–based delta-radiomics
nomogram and corresponding risk classification system for individualized and accurate …

MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images

H Yue, J Liu, J Li, H Kuang, J Lang, J Cheng… - Medical image …, 2022 - Elsevier
Accurate prediction of pathological complete response (pCR) after neoadjuvant
chemoradiotherapy (nCRT) is essential for clinical precision treatment. However, the …

Radiomics-guided radiation therapy: opportunities and challenges

H Abdollahi, E Chin, H Clark, DE Hyde… - Physics in Medicine …, 2022 - iopscience.iop.org
Radiomics is an advanced image-processing framework, which extracts image features and
considers them as biomarkers towards personalized medicine. Applications include disease …

Computed tomography-based radiomics in predicting T stage and length of esophageal squamous cell carcinoma

M Yang, P Hu, M Li, R Ding, Y Wang, S Pan… - Frontiers in …, 2021 - frontiersin.org
Background Because of the superficial and infiltrative spreading patterns of esophageal
squamous cell carcinoma (ESCC), an accurate assessment of tumor extent is challenging …

[HTML][HTML] Development and assessment of an individualized nomogram to predict colorectal cancer liver metastases

M Li, X Li, Y Guo, Z Miao, X Liu, S Guo… - Quantitative imaging in …, 2020 - ncbi.nlm.nih.gov
Background This article aims to develop and assess the radiomics paradigm for predicting
colorectal cancer liver metastasis (CRLM) from the primary tumor. Methods This …

[HTML][HTML] Role of radiomics in the diagnosis and treatment of gastrointestinal cancer

Q Mao, MT Zhou, ZP Zhao, N Liu, L Yang… - World journal of …, 2022 - ncbi.nlm.nih.gov
Gastrointestinal cancer (GIC) has high morbidity and mortality as one of the main causes of
cancer death. Preoperative risk stratification is critical to guide patient management, but …

Application of contrast-enhanced CT radiomics in prediction of early recurrence of locally advanced oesophageal squamous cell carcinoma after trimodal therapy

S Tang, J Ou, J Liu, Y Wu, C Wu, T Chen, X Zhang, R Li… - Cancer Imaging, 2021 - Springer
Background Early recurrence of oesophageal squamous cell carcinoma (SCC) is defined as
recurrence after surgery within 1 year, and appears as local recurrence, distant recurrence …

[HTML][HTML] Radiomics signature for the preoperative assessment of stage in advanced colon cancer

Y Li, A Eresen, Y Lu, J Yang, J Shangguan… - American journal of …, 2019 - ncbi.nlm.nih.gov
The purpose of this study was to develop a radiomics signature for distinguishing stage in
advanced colon cancer (CC). 195 colon cancer patients were enrolled in this study (stage III …