Results 181 to 190 of about 998,655 (259)
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
Radiation Dose Reduction in Mechanical Thrombectomy: Single Versus Dual-Operator Approach. [PDF]
Demir M, Yasar Y.
europepmc +1 more source
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Pain-Related Smoking Expectancies Across Tobacco Product Use Patterns, Including Heated Tobacco Products: Psychometric Validation of the Japanese Pain and Smoking Inventory. [PDF]
Yamada K +3 more
europepmc +1 more source
Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler +20 more
wiley +1 more source
Switching from cigarette use to dual use with heated tobacco products and severe periodontitis risk. [PDF]
Shiota C +5 more
europepmc +1 more source
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang +10 more
wiley +1 more source
DEF-Net: A dual-modal feature enhancement and fusion network for infrared and visible object detection. [PDF]
Guo X, Yang F, Ji L.
europepmc +1 more source

