Results 191 to 200 of about 73,359 (292)

The maximum 2D diameter column of the notch as the most important bone risk indicator compared with the posterior tibial slopes for ACL injury based on computed tomography: Analysis using machine learning approach

Journal of Experimental Orthopaedics, Volume 13, Issue 1, January 2026.
Abstract Purpose To develop a machine learning model capable of predicting the bony risk of non‐contact anterior cruciate ligament injury, thereby enabling the identification of factors that contribute to such injuries. Methods Data were collected from 400 cases of non‐contact ACL‐injured and 200 ACL‐intact control subjects using Computed Tomography ...
Ke Xiao, Song Wu, Benjamin Rothrauff, Bosomtwe Kwabena Richmond, Damaris Topola Boko, Jiewen Luo, Chi Liang, Yangbo Cao, Yunheng Yao, Jinshen He   +9 more
wiley   +1 more source

Radiomics for Predicting the Efficacy of Immunotherapy in Hepatocellular Carcinoma: A Systematic Review and Radiomics Quality Score Assessment. [PDF]

Cancers (Basel)
Zhang R, Zhang C, Liu Y, Gui Z, Zhang A.
europepmc   +1 more source

The radiomics-clinical nomogram for predicting the response to initial superselective arterial embolization in renal angiomyolipoma, a preliminary study [PDF]

Liu Zechuan, Tianshi Lyu, Tiantian Li, Cao Shoujin, Hang Yao, Yao Ziping, Guan Hai-tao, Fan Zeyang, Yinghua Zou, Jian Wang   +9 more
openalex   +1 more source

Emerging Role of MRI‐Based Artificial Intelligence in Individualized Treatment Strategies for Hepatocellular Carcinoma: A Narrative Review

Journal of Magnetic Resonance Imaging, Volume 63, Issue 1, Page 79-97, January 2026.
ABSTRACT Hepatocellular carcinoma (HCC) is the most common subtype of primary liver cancer, with significant variability in patient outcomes even within the same stage according to the Barcelona Clinic Liver Cancer staging system. Accurately predicting patient prognosis and potential treatment response prior to therapy initiation is crucial for ...
Feng Che, Jing Zhu, Qian Li, Hanyu Jiang, Yi Wei, Bin Song   +5 more
wiley   +1 more source

S19 Table - Predicting knee osteoarthritis progression using neural network with longitudinal MRI radiomics, and biochemical biomarkers: A modeling study

Ting Wang (16292), Hao Liu (12832), Wenbo Zhao (494837), Peihua Cao (733002), Jia Li (160557), Tianyu Chen (4725672), Guangfeng Ruan (13763502), Yan Zhang (8098), Xiaoshuai Wang (9434039), Qin Dang (9668844), Mengdi Zhang (4583218), Alexander Tack (11592309), David Hunter (273536), Changhai Ding (3448727), Shengfa Li (14799484)   +14 more
openalex   +1 more source

Deep Learning vs. Radiomics for Predicting Axillary Lymph Node Metastasis of Breast Cancer Using Ultrasound Images: Don't Forget the Peritumoral Region

, 2020
Qiuchang Sun, Xiaona Lin, Yuanshen Zhao, Ling Li, Kai Yan, Dong Liang, Desheng Sun, Zhicheng Li   +7 more
openalex   +1 more source

Preoperative Noninvasive Radiomics Approach Predicts Tumor Consistency in Patients With Acromegaly: Development and Multicenter Prospective Validation [PDF]

, 2019
Yanghua Fan, Hua Min, Anna Mou, Miaojing Wu, Xiaohai Liu, Xinjie Bao, Renzhi Wang, Ming Feng   +7 more
openalex   +1 more source

Use of a radiomics-clinical model based on magnetic diffusion-weighted imaging for preoperative prediction of lymph node metastasis in rectal cancer patients

, 2023
Yehan Li, Chen Zeng, Yong Du
openalex   +1 more source

Tumor Habitats Based on Multiparametric MRI Distinguish Atypical Glioblastoma From Primary Central Nervous System Lymphoma: Imaging‐Pathologic Correlation

Journal of Magnetic Resonance Imaging, Volume 63, Issue 1, Page 142-154, January 2026.
ABSTRACT Background Atypical glioblastoma (GBM) (minimal or no necrosis on MRI) and primary central nervous system lymphoma (PCNSL) are difficult to distinguish on MRI; whether tumor habitat can more accurately distinguish atypical GBM from PCNSL remains uncertain.
Meng‐nan Sun, Hui Wang, Yan‐ying Yang, Xiao‐jun Yu, Hai‐nan Li, Dan‐dan Fu, Dong‐Zhang, Ru‐yu Ai, Xiao‐yu Hua, Li‐chao Wang, Ming‐yao Lai, Chang‐zheng Shi, Lin‐bo Cai   +12 more
wiley   +1 more source

Quantitative Imaging Advances in HPV-Positive Oropharyngeal Carcinoma. [PDF]

Cancers (Basel)
Farrell D, Bahig H, Khor R, Kowalski LP, de Bree R, Eisbruch A, Bollen H, Lopez F, Sreeram MP, Guntinas-Lichius O, Rodrigo JP, Saba NF, Rao KN, Nuyts S, Araújo ALD, Ferlito A, Ng SP.   +16 more
europepmc   +1 more source