Ultrasomics differentiation of malignant and benign focal liver lesions based on contrast-enhanced ultrasound.

BMC Med Imaging

Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, Ultrasomics Artificial Intelligence X-Lab, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.

Published: September 2024


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Objectives: To establish a nomogram for differentiating malignant and benign focal liver lesions (FLLs) using ultrasomics features derived from contrast-enhanced ultrasound (CEUS).

Methods: 527 patients were retrospectively enrolled. On the training cohort, ultrasomics features were extracted from CEUS and b-mode ultrasound (BUS). Automatic feature selection and model development were performed using the Ultrasomics-Platform software, outputting the corresponding ultrasomics scores. A nomogram based on the ultrasomics scores from artery phase (AP), portal venous phase (PVP) and delayed phase (DP) of CEUS, and clinical factors were established. On the validation cohort, the diagnostic performance of the nomogram was assessed and compared with seniorexpert and resident radiologists.

Results: In the training cohort, the AP, PVP and DP scores exhibited better differential performance than BUS score, with area under the curve (AUC) of 84.1-85.1% compared with the BUS (74.6%, P < 0.05). In the validation cohort, the AUC of combined nomogram and expert was significantly higher than that of the resident (91.4% vs. 89.5% vs. 79.3%, P < 0.05). The combined nomogram had a comparable sensitivity with the expert and resident (95.2% vs. 98.4% vs. 97.6%), while the expert had a higher specificity than the nomogram and the resident (80.6% vs. 72.2% vs. 61.1%, P = 0.205).

Conclusions: A CEUS ultrasomics based nomogram had an expert level performance in FLL characterization.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11403768PMC
http://dx.doi.org/10.1186/s12880-024-01426-xDOI Listing

Publication Analysis

Top Keywords

malignant benign
8
benign focal
8
focal liver
8
liver lesions
8
contrast-enhanced ultrasound
8
ultrasomics features
8
training cohort
8
ultrasomics scores
8
ultrasomics
5
ultrasomics differentiation
4

Similar Publications

Background: Prostate cancer is one of the most common malignancies in males worldwide. Serum prostate-specific antigen is a frequently employed biomarker in the diagnosis and risk stratification of prostate cancer; however, it is known for its low predictive accuracy for disease progression. New prognostic biomarkers are needed to distinguish aggressive prostate cancer from low-risk disease.

View Article and Find Full Text PDF

Diagnosis and management of thyroid nodule.

Curr Opin Endocrinol Diabetes Obes

October 2025

Department of Surgery, American Mission Hospital, Manama, Bahrain.

Purpose Of Review: To review the current medical evidence in the diagnosis and management of thyroid nodules.

Recent Findings: The widespread use of imaging modalities in recent years has led to frequent discovery of incidental thyroid nodules. These nodules are mostly benign (over 90%), hence precise insight in evaluating nodules of concern and following up other nodules is important to avoid unnecessary surgeries and its complications.

View Article and Find Full Text PDF

Objective: To evaluate preoperative serum calcium levels and their association with deep infiltrating endometriosis (DIE) in ovarian endometrioma.

Design: A retrospective, observational cohort study.

Participants: A total of 2,557 women who underwent surgery for benign ovarian tumors were initially enrolled.

View Article and Find Full Text PDF

Purpose: This study aimed to evaluate the performance of ChatGPT (GPT-4o) in interpreting free-text breast magnetic resonance imaging (MRI) reports by assigning BI-RADS categories and recommending appropriate clinical management steps in the absence of explicitly stated BI-RADS classifications.

Methods: In this retrospective, single-center study, a total of 352 documented full-text breast MRI reports of at least one identifiable breast lesion with descriptive imaging findings between January 2024 and June 2025 were included in the study. Incomplete reports due to technical limitations, reports describing only normal findings, and MRI examinations performed at external institutions were excluded from the study.

View Article and Find Full Text PDF