Distinguishing early liver fibrosis: integrating clinical and elastography features and radiomics signatures from Gd-EOB-DTPA-enhanced MRI

Motivation: Despite the effectiveness of elastography and serology tests in detecting liver fibrosis, diagnosing early-stage fibrosis remains challenging. Goal(s): Develop and validate a reliable radiomics model using Gd-EOB-DTPA-enhanced MRI for early liver fibrosis diagnosis. Approach: Create a radiomics model based on Gd-EOB-DTPA-enhanced MRI and establish a fused nomogram combining clinical characteristics and LSM. Compare the diagnostic performance of the fused model with single models for early-stage liver fibrosis. Results: Gd-EOB-DTPA-enhanced MRI radiomics model effectively diagnoses early liver fibrosis. The fusion model enhances diagnostic efficiency. Impact: To develop and validate a fusion model based on Gd-EOB-DTPA-enhanced MRI to identify early-stage liver fibrosis.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/3653
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Distinguishing early liver fibrosis: integrating clinical and elastography features and radiomics signatures from Gd-EOB-DTPA-enhanced MRI

Shengrong Xie, Chenyang Qiu, Wen Shen, Yan Cao
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Liver Disease Diagnosis and Treatment
article

Distinguishing early liver fibrosis: integrating clinical and elastography features and radiomics signatures from Gd-EOB-DTPA-enhanced MRI

Shengrong Xie, Chenyang Qiu, Wen Shen, Yan Cao
article en

Abstract

Motivation: Despite the effectiveness of elastography and serology tests in detecting liver fibrosis, diagnosing early-stage fibrosis remains challenging. Goal(s): Develop and validate a reliable radiomics model using Gd-EOB-DTPA-enhanced MRI for early liver fibrosis diagnosis. Approach: Create a radiomics model based on Gd-EOB-DTPA-enhanced MRI and establish a fused nomogram combining clinical characteristics and LSM. Compare the diagnostic performance of the fused model with single models for early-stage liver fibrosis. Results: Gd-EOB-DTPA-enhanced MRI radiomics model effectively diagnoses early liver fibrosis. The fusion model enhances diagnostic efficiency. Impact: To develop and validate a fusion model based on Gd-EOB-DTPA-enhanced MRI to identify early-stage liver fibrosis.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 68%
Liver Disease Diagnosis and Treatment
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Distinguishing early liver fibrosis: integrating clinical and elastography features and radiomics signatures from Gd-EOB-DTPA-enhanced MRI — Shengrong Xie, Chenyang Qiu, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS