Results 61 to 70 of about 49,496 (211)

A Multi‐Structural Radiomic Digital Phenotyping Framework for Deciphering Preclinical Evolution of Degenerative Meniscal Tears

Advanced Science, EarlyView.
Subclinical matrix disruption precedes degenerative meniscal tears across the knee joint. A spatial compartmental radiomics model utilizing 3D‐DESS MRI captures early osteochondral destabilization, accurately predicting incident tears up to four years pre‐collapse. Feature attributions uncover coordinated chondral and osseous alterations, advancing non‐
Shengfa Li, Hao Liu, Yanbin Zhu, Hang Zhang, Qifeng Tao, Wenbo Zhao, Xin Miao, Shanshan Yang, Tianyu Chen, David Hunter, Changhai Ding, Ting Wang, Juan Wang, Wei Chen   +13 more
wiley   +1 more source

Deep Learning for AD Risk Screening and Progression Prediction

Advanced Science, EarlyView.
A pretrained MRI‐based deep learning model generalizes from Western cohorts to an independent Chinese cohort, detects Alzheimer's disease with high sensitivity, and identifies elevated AD risk years before diagnosis. Its risk scores align with cognition and plasma biomarkers, and individualized brain risk maps uncover clinically distinct subtypes ...
Bin Lu, Yan‐Rong Chen, Rui‐Xian Li, Ming‐Kai Zhang, Shao‐Zhen Yan, Guan‐Qun Chen, Jing‐Hua Wang, Wen‐Hui Chai, Francisco Xavier Castellanos, Paul M. Thompson, Jie Lu, Ying Han, Chao‐Gan Yan   +12 more
wiley   +1 more source

The Q* Index: A Useful Global Measure of Dementia Screening Test Accuracy

Dementia and Geriatric Cognitive Disorders Extra, 2015
Background/Aims: Single, global or unitary, indicators of test diagnostic performance have intuitive appeal for clinicians. The Q* index, the point in receiver operating characteristic (ROC) curve space closest to the ideal top left-hand corner and where
A.J. Larner
doaj   +1 more source

A CT Lesion Foundation Model for Non‐Invasive Assessment of Hepatocellular Carcinoma Aggressiveness and Prediction of Recurrence Risk

Advanced Science, EarlyView.
A computed tomography lesion foundation model, built by sequential self‐supervised pretraining on generic and hepatocellular carcinoma‐specific lesion images, non‐invasively assesses microvascular invasion and pathological grade from contrast‐enhanced CT and stratifies postoperative recurrence risk.
Wei Xia, Zhehan Shen, Mengsi Li, Jianxin Lu, Ji Xia, Yang Cheng, Wenzheng Li, Shunjie Dong, Lin Deng, Ruokun Li   +9 more
wiley   +1 more source

Confidence Interval Estimation of the Youden index and corresponding cut-point for a combination of biomarkers under normality. [PDF]

Commun Stat Theory Methods, 2022
Attwood K, Tian L.
europepmc   +1 more source

Mac‐2 Binding Protein Glycosylation Isomer (M2BPGi)–Based Risk Stratification Refined by Tumor Metabolic Activity in Hepatocellular Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
M2BPGi reflects background liver fibrosis and hepatic functional impairment. PET SUVmax reflects tumor metabolic aggressiveness. Their combination identifies a dual‐high subgroup with the poorest recurrence‐free and overall survival. ABSTRACT Aim To evaluate the prognostic significance of preoperative Mac‐2 binding protein glycosylation isomer (M2BPGi)
Kojiro Shirabe, Junya Mita, Shinji Itoh, Takeo Toshima, Yoshiyuki Kitamura, Norifumi Iseda, Takuro Isoda, Kousei Ishigami, Tomoharu Yoshizumi   +8 more
wiley   +1 more source

Methods of determining optimal cut-point of diagnostic biomarkers with application of clinical data in ROC analysis: an update review

BMC Medical Research Methodology
Introduction An important application of ROC analysis is the determination of the optimal cut-point for biomarkers in diagnostic studies. This comprehensive review provides a framework of cut-point election for biomarkers in diagnostic medicine.
Mojtaba Hassanzad, Karimollah Hajian-Tilaki   +1 more
doaj   +1 more source

oA novel nonparametric approach for estimating cut-offs in continuous risk indicators with application to diabetes epidemiology

BMC Medical Research Methodology, 2009
Background Epidemiological and clinical studies, often including anthropometric measures, have established obesity as a major risk factor for the development of type 2 diabetes.
Ferger Dietmar, Klotsche Jens, Pieper Lars, Rehm Jürgen, Wittchen Hans-Ulrich   +4 more
doaj   +1 more source

The length of the receiver operating characteristic curve and the two cutoff Youden index within a robust framework for discovery, evaluation, and cutoff estimation in biomarker studies involving improper receiver operating characteristic curves. [PDF]

Stat Med, 2021
Bantis LE, Tsimikas JV, Chambers GR, Capello M, Hanash S, Feng Z.   +5 more
europepmc   +1 more source

Prognostic Significance and Clinical Robustness of the HALP Score in Super‐Elderly Patients Undergoing Curative Gastrectomy for Gastric Cancer: A Multicenter Retrospective Cohort Study

Annals of Gastroenterological Surgery, EarlyView.
In this multicenter study of 507 patients aged ≥ 80 years who underwent curative gastrectomy for gastric cancer, a low preoperative HALP score was independently associated with poor overall survival. This association remained consistent across multiple complementary analyses, and low HALP was also associated with both cancer‐specific and other‐cause ...
Hiroyuki Inoue, Takeshi Kubota, Toshiyuki Kosuga, Keiji Nishibeppu, Shutaro Sumiyoshi, Junichi Hamada, Kazuya Takabatake, Keita Katsurahara, Yosuke Ariyoshi, Koji Miyagawa, Sojin Sai, Yoshiki Itokawa, Tomoya Hatakeyama, Fumiaki Ochi, Hirotaka Konishi, Hitoshi Fujiwara, Atsushi Shiozaki   +16 more
wiley   +1 more source