Results 141 to 150 of about 55,768 (244)

Transformer‐Based Deep Learning Model for Predicting Recurrence in High‐Grade Glioma

Cancer Medicine, Volume 15, Issue 5, May 2026.
ABSTRACT Introduction The first year after treatment for high‐grade glioma (HGG) is recognized as the peak interval for recurrence. Accurate prediction of recurrence during this period is critical for timely management and early intervention. This study aimed to develop a fusion model that integrates MRI‐derived features with clinical variables ...
Xin Wang, Mingjun Ding, Dan Zong, Pudong Qian, Xia He   +4 more
wiley   +1 more source

Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: A Chinese Retrospective Multicenter Study Based on Global Meta‐Analysis

Cancer Medicine, Volume 15, Issue 5, May 2026.
ABSTRACT Objective Microvascular invasion (MVI) has been identified as a risk factor for the prognosis of patients with hepatocellular carcinoma (HCC). However, it can only be diagnosed pathologically, and thus no widely applicable preoperative MVI risk prediction model has been established.
Jia Xu, Yue‐Lu Zhang, Man Yang, Zhengbo Deng, Laisheng Li, Ting Wang, Jinhua Song, Hai Xu, Jian Wu, Zhi‐Qi Wu, Hua‐Guo Xu   +10 more
wiley   +1 more source

Macro Habitat‐Based T2‐Weighted MRI Radiomics and Deep Learning Fusion for Predicting Treatment Response and Prognosis After Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer

Cancer Medicine, Volume 15, Issue 5, May 2026.
ABSTRACT Background Response to neoadjuvant chemoradiotherapy (NACRT) in locally advanced rectal cancer (LARC) is highly heterogeneous. Reliable pretreatment prediction of tumor regression and prognosis remains an unmet clinical need to optimize personalized management.
Xiaoli Jin, Jing Xu, Yeting Hu, Xin Chen, Suyun Li, Qichun Wei, Sebastian Dieter, Bohai Feng   +7 more
wiley   +1 more source

Identification of Prognostic Risk Factors in Older Patients With Extensive‐Stage Small Cell Lung Cancer

Cancer Medicine, Volume 15, Issue 5, May 2026.
The study corroborates the prognostic value of previously identified risk factors impacting progression‐free survival (PFS) and overall survival (OS) in older patients with extensive‐stage small cell lung cancer (ES‐SCLC). The figure was created with Microsoft PowerPoint.
Jiayin Liu, Xun Liu, Xiaolin Li, Ning Liu, Bo Wang, Li Feng, Zhisong Fan, Long Wang, Jing Han, Xue Zhang, Hui Jin, Dan Li, Yan Liu, Jing Zuo, Yudong Wang   +14 more
wiley   +1 more source

Predicting Prognosis for Gastric Cancer Patients Receiving Neoadjuvant Treatment With Body Composition‐Based Deep Learning

Cancer Medicine, Volume 15, Issue 5, May 2026.
ABSTRACT Background This study sought to develop an innovative body composition (BC)‐based deep learning (DL) model to precisely evaluate survival in gastric cancer (GC) patients undergoing neoadjuvant treatment (NT). Materials and Methods This retrospective study included GC patients undergoing NT from two centers.
Yingjing Zhang, Tong Tong, Bowen Hou, Tian Yu, Pengfei Su, Jianchun Yu, Yakai Huang   +6 more
wiley   +1 more source

Clinical Significance of Biomarkers in Oropharyngeal Squamous Cell Carcinoma: Recurrence Prediction and Treatment Response

Cancer Reports, Volume 9, Issue 5, May 2026.
ABSTRACT Background Oropharyngeal squamous cell carcinoma (OPSCC) accounts for a substantial proportion of head and neck cancers, with a rising incidence largely driven by human papillomavirus (HPV) infection. Despite advances in multimodal treatment, disease recurrence remains common and limits long‐term survival, highlighting the need for reliable ...
Yunxia Chen, Wenyu Zhang, Xiang Gao, Kongling Xing, Yijing Ren, Jinyu Hu, Zhihao Xie, Ping Zhou   +7 more
wiley   +1 more source

Large Language Models for Diagnosis and Prognosis of Chronic Liver Diseases: A Systematic Review

Health Science Reports, Volume 9, Issue 5, May 2026.
ABSTRACT Background and Aims Chronic liver disease (CLD) affects more than 800 million people worldwide and remains a leading cause of morbidity and mortality. Artificial intelligence (AI), particularly machine learning, has been applied to hepatology for diagnostic and prognostic purposes.
Basile Njei, Yazan A. Al‐Ajlouni, Abisola Ajayi, Farah Shahin, Omar Al Ta'ani, Sarpong Boateng, Gyanprakash Ketwaroo, Petr Protiva   +7 more
wiley   +1 more source

Isocitrate Dehydrogenase Mutations in Cancer: From Bench to Bedside Applications

MedComm, Volume 7, Issue 5, May 2026.
Mutant isocitrate dehydrogenase affects multiple cancer types. Alterations in IDH1 and IDH2 result in abnormal enzyme activity, leading to the overproduction of D‐2‐hydroxyglutarate (D‐2HG). This metabolite disrupts cellular metabolism and epigenetic regulation, driving cancer initiation, progression, and metastasis.
Yuhan Fang, Xiaoqing Wang, Kai Luo, Tikam Chand Dakal, He Bai, Caiming Xu, Guixin Zhang   +6 more
wiley   +1 more source

The study of nomogram model based on CT radiomics and clinical features for histological classification of parotid gland tumors. [PDF]

Sci Rep
Shen Q, Liu Y, Xu F, Han Y, Liu X, Huang K.   +5 more
europepmc   +1 more source

Automated Segmentation of Median Nerve Cross‐Sectional Area in Healthy Controls and Patients With Carpal Tunnel Syndrome Using a Convolutional Neural Network

Muscle &Nerve, Volume 73, Issue 5, Page 843-850, May 2026.
ABSTRACT Introduction/Aims The cross‐sectional area (CSA) of the median nerve (MN) is a key parameter for confirming carpal tunnel syndrome (CTS) with ultrasound. This study evaluates the performance of a convolutional neural network (CNN) with a 2D U‐Net architecture for automated MN CSA segmentation in both healthy individuals and patients with CTS ...
Tom B. G. Olde Dubbelink, Erik Willemen, Bas Schippers, Jan Meulstee, Frouke A. P. Nijhuis, Ronald H. M. A. Bartels, Wim I. M. Verhagen   +6 more
wiley   +1 more source