Classification of MRI-only suspicious breast lesions: Development and validation of a nomogram combining MRI features and ADC-based histogram

Motivation: MRI-only lesions tend to be small in size and often have limited specific morphologic features on MRI, posing a significant diagnostic challenge for clinicians. Goal(s): A simple, objective, and noninvasive approach is required to improve the diagnostic accuracy of MRI-only lesions. Approach: We aimed to develop and validate a nomogram combining clinicoradiologic features and ADC-based histogram parameters for MRI-only suspicious lesions. Results: Our results showed that ADC entropy in histogram parameters and kinetic pattern in clinicoradiologic parameters were identified as the most valuable predictors for differentiating MRI-only lesions, and a nomogram combining them exhibited better diagnostic performance than the two variables alone. Impact: A nomogram combining ADC entropy and kinetic pattern, as a simple, objective, and noninvasive tool, displays satisfactory diagnostic performance for MRI-only suspicious lesions and may be utilised to avoid unnecessary biopsy.

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/10.58530/2024/4313
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Classification of MRI-only suspicious breast lesions: Development and validation of a nomogram combining MRI features and ADC-based histogram

Lei Jiang, Xue Li, Chunmei Li, Dandan Zheng 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
Radiomics and Machine Learning in Medical Imaging
article

Classification of MRI-only suspicious breast lesions: Development and validation of a nomogram combining MRI features and ADC-based histogram

Lei Jiang, Xue Li, Chunmei Li, Dandan Zheng, Min Chen
article en

Abstract

Motivation: MRI-only lesions tend to be small in size and often have limited specific morphologic features on MRI, posing a significant diagnostic challenge for clinicians. Goal(s): A simple, objective, and noninvasive approach is required to improve the diagnostic accuracy of MRI-only lesions. Approach: We aimed to develop and validate a nomogram combining clinicoradiologic features and ADC-based histogram parameters for MRI-only suspicious lesions. Results: Our results showed that ADC entropy in histogram parameters and kinetic pattern in clinicoradiologic parameters were identified as the most valuable predictors for differentiating MRI-only lesions, and a nomogram combining them exhibited better diagnostic performance than the two variables alone. Impact: A nomogram combining ADC entropy and kinetic pattern, as a simple, objective, and noninvasive tool, displays satisfactory diagnostic performance for MRI-only suspicious lesions and may be utilised to avoid unnecessary biopsy.

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 63%
Radiomics and Machine Learning in Medical Imaging
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Classification of MRI-only suspicious breast lesions: Development and validation of a nomogram combining MRI features and ADC-based histogram — Lei Jiang, Xue Li, 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