Results 111 to 120 of about 55,768 (244)

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

Editorial: Imaging assessment of response to immunotherapy

Frontiers in Oncology, 2023
Mariaelena Occhipinti, Andrea R. Filippi, Andrea R. Filippi, Sean Walsh, Jan P. van Meerbeeck   +4 more
doaj   +1 more source

Molecular Diagnostics in Thyroid Nodules: Current Applications, Clinical Value, and Future Perspective

Med Research, EarlyView.
ABSTRACT Molecular diagnostics have become an important adjunct to ultrasonography and fine‐needle aspiration (FNA) for thyroid nodules, especially in Bethesda III/IV cytology where malignancy risk is uncertain. This narrative review summarizes the diagnostic and prognostic value of key genomic drivers (BRAF V600E, RAS, RET, TERT, and selected fusions)
Guohui Xiao, Min Ding, Zhixue Min, Yihan Dong, Xuanye Cao, Qiang Lu, Cong Chen, Yahui Wu, Xin Guo, Zhen Wu, Jing Xie, Dan Xu, Haizhen Chen, Rongli Xie, Jian Fei   +14 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

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

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

Dissimilarity-based representation for radiomics applications

, 2018
Radiomics is a term which refers to the analysis of the large amount of quantitative tumor features extracted from medical images to find useful predictive, diagnostic or prognostic information.
Bernard, Simon, Cao, Hongliu, Heutte, Laurent, Sabourin, Robert   +3 more
core  

From HBV to MASLD Cirrhosis: Mechanistic Insights and Therapeutic Strategies

Portal Hypertension &Cirrhosis, EarlyView.
This review examines the epidemiological shift from hepatitis B virus (HBV) to metabolic dysfunction‐associated steatotic liver disease (MASLD) as the leading cause of cirrhosis globally. It highlights the distinct pathogenic mechanisms between HBV and MASLD cirrhosis and discusses evolving diagnostic tools and therapeutic strategies tailored to the ...
Hanqi Yu, Hongfan Ding, Yang Huang, Haoze Cao, Yuan Ding, Weilin Wang   +5 more
wiley   +1 more source

Overcoming data scarcity in radiomics/radiogenomics using synthetic radiomic features

Computers in Biology and Medicine
To evaluate the potential of synthetic radiomic data generation in addressing data scarcity in radiomics/radiogenomics models.This study was conducted on a retrospectively collected cohort of 386 colorectal cancer patients (n = 2570 lesions) for whom matched contrast-enhanced CT images and gene TP53 mutational status were available.
Milad Ahmadian, Zuhir Bodalal, Hedda J. van der Hulst, Conchita Vens, Luc H.E. Karssemakers, Nino Bogveradze, Francesca Castagnoli, Federica Landolfi, Eun Kyoung Hong, Nicolo Gennaro, Andrea Delli Pizzi, Regina G.H. Beets-Tan, Michiel W.M. van den Brekel, Jonas A. Castelijns   +13 more
openaire   +3 more sources

Molecular and genomic advances in breast cancer: A comprehensive review of predictive and therapeutic innovations

Precision Medical Sciences, EarlyView.
Breast cancer subtypes, estrogen receptor‐positive (ER+), HER2‐enriched, and TNBC, are defined by genomic and epigenetic signatures. Multi‐omics profiling, immunotherapy, liquid biopsy, and AI‐driven radiogenomics enable precision medicine. Tools like Oncotype DX and PAM50 support personalized care.
Samina Malik, Arif Malik, Shahzad Ahmad, Hassan Mohsin, Shazia Iqbal   +4 more
wiley   +1 more source