Results 261 to 270 of about 78,758 (356)

Performance characteristics of vibration‐controlled transient elastography for evaluation of nonalcoholic fatty liver disease

open access: yesHepatology, 2018
R. Vuppalanchi   +14 more
semanticscholar   +1 more source

Progression to Decompensation of Severe Fibrosis Compared to Cirrhosis in MASLD: A Systematic Review and Meta‐Analysis

open access: yesLiver International, Volume 46, Issue 2, February 2026.
ABSTRACT Background & Aims Metabolic associated steatotic liver disease (MASLD) is increasing in prevalence worldwide. Clinical practice is focused on identifying those with cirrhosis and monitoring for complications such as varices and hepatocellular carcinoma (HCC).
Rachael Barrett   +5 more
wiley   +1 more source

Ultrasound-based radiomics for the evaluation of breast cancer. [PDF]

open access: yesFront Oncol
Sun FY   +7 more
europepmc   +1 more source

Elastography for the evaluation of thyroid nodules in pediatric patients

open access: gold, 2019
Gustavo Bittar Cunha   +7 more
openalex   +1 more source

GDF‐15 Levels in Cirrhosis Are Linked to Hepatic Fibrogenesis, Bacterial Translocation, and Worse Clinical Outcomes

open access: yesLiver International, Volume 46, Issue 2, February 2026.
ABSTRACT Background &Aims Growth differentiation factor‐15 (GDF‐15), a cell stress‐induced cytokine, is implicated in liver disease pathophysiology. We investigated GDF‐15 in cirrhosis, focusing on its association with disease‐driving pathomechanisms, platelet function, hepatic decompensation, and mortality.
Benedikt Silvester Hofer   +22 more
wiley   +1 more source

Noninvasive strategies for metabolic dysfunction-associated steatotic liver disease assessment and referral in Japan. [PDF]

open access: yesWorld J Gastroenterol
Kamada Y   +10 more
europepmc   +1 more source

Increased renal cortical stiffness obtained by share-wave elastography imaging significantly predicts the contrast-induced nephropathy in patients with preserved renal function

open access: green, 2019
Hilmi Erdem Sümbül   +9 more
openalex   +2 more sources

Discrimination of benign and malignant non‐mass breast lesions using ultrasound radiomics with machine learning models

open access: yesJournal of Applied Clinical Medical Physics, Volume 27, Issue 1, January 2026.
Abstract Aims This study aims to enhance the preoperative diagnosis of non‐mass breast lesions (NMLs) by validating radiomics‐based machine learning models and assessing their performance alone and in combination with clinical ultrasound features to distinguish benign from malignant lesions.
Chunming Shi   +6 more
wiley   +1 more source

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