Results 131 to 140 of about 43,566 (284)

Heterogeneity Analyzed by CT‐Based Habitat Analysis for Clinical Management of Cancers: A Narrative Review

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Tumors are highly heterogeneous, and whole‐lesion radiomics analysis is a popular method for extracting texture features that reflect this heterogeneity, which can be used to build models for cancer diagnosis, staging, therapy response evaluation, and prognosis prediction.
Yang Zhang, Zhi‐Yan Jin, Min‐Ying Lydia Su   +2 more
wiley   +1 more source

Predicting the histological grade of hepatocellular carcinoma based on dynamic radiomics

Asian Journal of Surgery
Background: Radiomics studies for preoperative prediction of histological grade of hepatocellular carcinoma (HCC) have primarily concentrated on static features, thereby overlooking the dynamic changes in radiomics features across different phases ...
Rui Zhang, Yao Wang, Zhi Li, Yushu Shi, Danping Yu, Xue Wen, Feng Chen, Wenbo Xiao, Chencui Huang, Zhan Feng   +9 more
doaj   +1 more source

Radiomics and Back Pain

Global Spine Journal
Study Design Narrative review. Objectives Back pain is one of the leading causes of disability worldwide. While conventional imaging interpretation remains subjective and expertise-dependent, radiomics offers quantitative, data-driven ...
Jason Lin, Vinay Duddalwar, Michael M. Safaee   +2 more
openaire   +2 more sources

Artificial intelligence demonstrates comparable diagnostic accuracy to radiologists for anterior cruciate ligament tears on MRI: A systematic review and meta‐analysis

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Anterior cruciate ligament (ACL) tears are among the most common knee injuries, accounting for half of all knee ligament injuries. Magnetic resonance imaging (MRI) is the standard for diagnosing ACL tears, but its interpretation is experience‐dependent.
Gabriel Moraes de Oliveira, Serafina Zotter, Brian Tao, Ana Beatriz Nardelli da Silva, Maria Mascarenhas, Chilan B. G. Leite, Guilherme Almeida, Nacime Mansur, Giovanna Medina   +8 more
wiley   +1 more source

Cancer Classification with Radiomics [PDF]

Radiomics involves the extraction of high-dimensional quantitative features from medical images to aid clinical decision-making. While radiomics has shown promise in predicting disease characteristics, concerns regarding confounders, reproducibility, and

core   +1 more source

Evaluation of Systemic Inflammatory Markers in Predicting Malignancy in Parotid Gland Tumors

The Laryngoscope, EarlyView.
Preoperative systemic inflammatory indices may assist in distinguishing benign from malignant parotid tumors. In this cohort of 259 patients undergoing parotidectomy, malignant tumors were associated with higher neutrophil‐to‐lymphocyte ratio (NLR) and platelet‐to‐lymphocyte ratio (PLR) values, as well as larger tumor size and older age.
Ozcelik Erdem Rukiye, Yegin Onur, Eryılmaz Mehmet Akif, Arbag Hamdi   +3 more
wiley   +1 more source

A Brainstem Radiomics Framework to Distinguish Progressive Supranuclear Palsy from Parkinson's Disease

Movement Disorders, EarlyView.
Abstract Background Differentiating progressive supranuclear palsy (PSP) from Parkinson's disease (PD) can be clinically challenging. In the neuroimaging field, radiomics has emerged as a promising approach to capture subtle microstructural and textural image alterations, improving differential diagnoses.
Chiara Camastra, Jolanda Buonocore, Antonio Augimeri, Camilla Calomino, Maria Giovanna Bianco, Alessia Sarica, Pier Paolo Arcuri, Aldo Quattrone, Andrea Quattrone   +8 more
wiley   +1 more source

Ki-67 Prediction in Breast Cancer: Integrating Radiomics From Automated Breast Volume Scanner and 2D Ultrasound Images via Machine Learning [PDF]

Wei Wei,1,2,* Fei Xia,3,* Wang Zhou,1,* Wenwu Lu,1 Di Zhang,1 Qianqing Ma,2 Xiangyi Xu,1 Chaoxue Zhang1 1Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People’s Republic of China;
Ma Q, Zhang D, Lu W, Zhou W, Wei W, Xu X, Zhang C, Xia F   +7 more
core   +1 more source

The transformative potential of artificial intelligence in pediatric medicine: Current applications, methodological challenges, and future directions

Pediatric Investigation, EarlyView.
Artificial intelligence (AI) offers transformative potential for paediatric diagnosis and treatment, yet implementation faces unique challenges, including data scarcity, algorithmic bias, and children's developmental physiology. This review examines current applications and charts a path toward transparent, equitable, and trustworthy AI in child health.
Ruisong Wang, Xiaoman Ding, Wanyue Zhang, Tieliu Shi   +3 more
wiley   +1 more source

The Clinical Study of Intratumoral and Peritumoral Radiomics Based on DCE-MRI for HER-2 Positive and Low Expression Prediction in Breast Cancer [PDF]

Yiyan Shang,1,2,* Yunxia Wang,1,2,* Yaxin Guo,2,3 Shunian Li,2,3 Jun Liao,2,3 Menglu Hai,4 Meiyun Wang,2,3 Hongna Tan1,2 1Department of Radiology, People’s Hospital of Henan University, Zhengzhou, Henan, People’s Republic of China; 2Department of
Liao J, Wang M, Li S, Tan H, Guo Y, Shang Y, Hai M, Wang Y   +7 more
core   +1 more source