Results 101 to 110 of about 52,953 (291)

A radiomics nomogram for preoperative prediction of microvascular invasion risk in hepatitis B virus-related hepatocellular carcinoma [PDF]

, 2018
PURPOSE:We aimed to develop and validate a radiomics nomogram for preoperative prediction of microvascular invasion (MVI) in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC).METHODS:A total of 304 eligible patients with HCC were randomly ...
Jie Zhou, Li Liu, Qifan Zhang, Jing Zhang, Yikai Xu, Jie Peng   +5 more
core   +1 more source

Serum osteocalcin is associated with scintigraphic abnormalities in lame and clinically sound racehorses

Equine Veterinary Journal, EarlyView.
Abstract Background Musculoskeletal injury is a major welfare and economic challenge in racehorses, with stress‐related bone injury contributing to training interruption and catastrophic failure. Advanced imaging modalities can detect early skeletal pathology but remain limited in routine screening environments.
Peter Tually, Dominique Blache, Jack Meadows, Shiphrah Tagore, Paul O'Callaghan, Matilda Hathway, Ian Fulton, Geoffrey Currie   +7 more
wiley   +1 more source

Engineered molecular diagnostic strategies for hepatocellular carcinoma: Integrating flexible photonic barcodes, liquid biopsies, and AI‐enhanced sensing platforms

FlexMat, EarlyView.
Abstract Early diagnosis of hepatocellular carcinoma (HCC) remains challenging because conventional serum biomarkers, especially alpha‐fetoprotein (AFP), show limited sensitivity for early‐stage disease. Recent progress in engineered molecular diagnostics provides new opportunities to improve HCC detection through integrated material, molecular, and ...
Jingzhi Xue, Wanqi Yang, Xiaoyu Liu, Xuehui Chu, Wei Li, Jinglin Wang   +5 more
wiley   +1 more source

Radiomics and Its Feature Selection: A Review

, 2023
Medical imaging plays an indispensable role in evaluating, predicting, and monitoring a range of medical conditions. Radiomics, a specialized branch of medical imaging, utilizes quantitative features extracted from medical images to describe underlying ...
Yu Guo, Wenchao Zhang, Qiyu Jin
core   +1 more source

Exploring the Value Realization and Management of Healthcare Data Elements in the Context of New Quality Productive Forces

Health Care Science, EarlyView.
With the rapid advancement of information technology, data has become a key driver of social progress, particularly in the medical field. The accumulation and innovative application of medical data have not only reshaped the structure of medical production factors but also provided a strong impetus for the development of new productivity.
Zhixuan Yu, Jiaxuan Wei, Jianlin Wang, Jie Lu, Pengfei Cao   +4 more
wiley   +1 more source

Robust radiomics: a review of guidelines for radiomics in medical imaging

Frontiers in Radiology
Introduction Radiomics aims to develop image-based biomarkers by combining quantitative analysis of medical images with artificial intelligence (AI) through a robust, reproducible pipeline. Scientific societies, task groups, and consortia have published several guidelines to help researchers design robust ...
Avanzo, Michele, Soda, Paolo, Bertolini, Marco, Bettinelli, Andrea, Rancati, Tiziana, Stancanello, Joseph, Rampado, Osvaldo, Pirrone, Giovanni, Drigo, Annalisa   +8 more
openaire   +2 more sources

Measurement Tools for Radiation‐Induced Fibrosis in Head and Neck Cancer: A Systematic Review

Head &Neck, EarlyView.
ABSTRACT Background Radiation‐induced fibrosis is a common, often debilitating late effect of head and neck cancer (HNC) treatment. An updated systematic review is needed to evaluate the reliability, validity, and clinical utility of fibrosis measurement tools.
Vanessa Helou, Pooja D. Reddy, Purva H. Rumde, Mary L. Klem, Sagar G. Kansara, Oldrich Virag, Yvonne M. Mowery, Nicole N. Scheff, Matthew E. Spector, Shaum Sridharan, Marci L. Nilsen, Kevin J. Contrera   +11 more
wiley   +1 more source

MRI radiomics-based approach to predict pituitary neuroendocrine tumor invasiveness

European Radiology Experimental
Objectives To assess the diagnostic potential of magnetic resonance imaging (MRI) radiomics and machine learning models using T2-weighted and contrast-enhanced (CE)-T1-weighted images, individually and combined, to predict the invasiveness of pituitary ...
Rosalinda Calandrelli, Huong Elena Tran, Edda Boccia, Elia Oliva, Gabriella D’Apolito, Luca Boldrini, Pier Paolo Mattogno, Sabrina Chiloiro, Marco Gessi, Francesco Doglietto, Simona Gaudino   +10 more
doaj   +1 more source

Preoperative prediction of lymph node metastasis in patients with ovarian cancer using contrast-enhanced computed tomography-based intratumoral and peritumoral radiomics features

Frontiers in Oncology
PurposeTo develop and validate computed tomography (CT)-based intratumoral and peritumoral radiomics signatures for preoperative prediction of lymph node metastasis (LNM) in patients with ovarian cancer (OC).MethodsPatients with pathological diagnosis of
Jing Zhang, Qiyuan Li, Haoyu Liang, Yao Wang, Li Sun, Qingyuan Zhang, Chuanping Gao   +6 more
doaj   +1 more source

Radiomics and radiogenomics of prostate cancer

, 2018
Radiomics and radiogenomics are attractive research topics in prostate cancer. Radiomics mainly focuses on extraction of quantitative information from medical imaging, whereas radiogenomics aims to correlate these imaging features to genomic data.
Choyke, Peter L, Turkbey, Baris, Harmon, Stephanie, Baris Turkbey, Czarniecki, Marcin, Smith, Clayton P, Stephanie Harmon, Radka Stoyanova, Peter L. Choyke, Marcin Czarniecki, Sherif Mehralivand, Stoyanova, Radka, Clayton P. Smith, Mehralivand, Sherif   +13 more
core   +1 more source