Results 241 to 250 of about 73,359 (292)
Background Quantitative computed tomography (CT) plays a crucial role in assessing emphysema severity in chronic obstructive pulmonary disease (COPD). However, variations in CT reconstruction parameters—slice thickness (ST), kernel selection, field of view (FOV), and reconstruction gaps—can affect emphysema index (EI) quantification, impacting ...
Rahma Saad Mohamed +3 more
wiley +1 more source
An AI-Based Radiomics Model Using MRI ADC Maps for Accurate Prediction of Advanced Prostate Cancer Progression. [PDF]
Wang K, Wu P, Chen Y, Wang H.
europepmc +1 more source
Prediction of ovarian cancer prognosis using statistical radiomic features of ultrasound images
Ruochen Zuo +10 more
openalex +1 more source
Abstract Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy with a dismal prognosis, largely because of late‐stage diagnosis and therapeutic resistance. PDAC incidence has been rising, with modifiable and non‐modifiable risk factors contributing to disease development.
Alessandro Mannucci, Ajay Goel
wiley +1 more source
Integrated analysis of radiomics and RNA reveals the biological basis and therapeutic implications of aggressive hepatocellular carcinoma subtypes. [PDF]
Chen Y +14 more
europepmc +1 more source
Interpretable multiphasic CT-based radiomic analysis for preoperatively differentiating benign and malignant solid renal tumors: a multicenter study [PDF]
Yaohai Wu +6 more
openalex +1 more source
Prognosis from Pixels: A Vendor-Protocol-Specific CT-Radiomics Model for Predicting Recurrence in Resected Lung Adenocarcinoma. [PDF]
Ibrahim A +8 more
europepmc +1 more source

