Comparison of MUSE-DWI and Conventional DWI in the Application of Invasive Breast Cancer and Malignancy Grade Prediction: A Comparative Study

Motivation: MUSE-DWI was used to better display breast cancer and histological grade prediction.Goal(s): This study aim to compare MUSE-DWI and conventional DWI for evaluating invasive breast cancer lesions, focusing on ADC values for preoperative histological grading. Approach: It included 63 confirmed lesions, assessed for qualitative parameters like sharpness, artifacts, and distortion, and quantitative measures including SNR and ADC. The results demonstrated that MUSE-DWI significantly reduces artifacts and distortions, enhancing image quality. Moreover, it showed higher diagnostic efficacy in the preoperative histological grading of breast cancer. Results: MUSE-DWI was superior to SS-EPI-DWI in image display and histological grade prediction. Impact: Compared with SS-EPI-DWI, MUSE-DWI can display the lesions of invasive breast cancer more intuitively, and it has higher robustness to the histological grade of invasive breast cancer.

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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/10.58530/2024/2589
Primary Topic
AI in cancer detection
Type
article
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article

Comparison of MUSE-DWI and Conventional DWI in the Application of Invasive Breast Cancer and Malignancy Grade Prediction: A Comparative Study

Yujing Chu, Longjiang Fang, bowen DOU, Wenjing Zhao 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
AI in cancer detection
article

Comparison of MUSE-DWI and Conventional DWI in the Application of Invasive Breast Cancer and Malignancy Grade Prediction: A Comparative Study

Yujing Chu, Longjiang Fang, bowen DOU, Wenjing Zhao, Weicheng Wang, Dmytro Pylypenko
article en

Abstract

Motivation: MUSE-DWI was used to better display breast cancer and histological grade prediction.Goal(s): This study aim to compare MUSE-DWI and conventional DWI for evaluating invasive breast cancer lesions, focusing on ADC values for preoperative histological grading. Approach: It included 63 confirmed lesions, assessed for qualitative parameters like sharpness, artifacts, and distortion, and quantitative measures including SNR and ADC. The results demonstrated that MUSE-DWI significantly reduces artifacts and distortions, enhancing image quality. Moreover, it showed higher diagnostic efficacy in the preoperative histological grading of breast cancer. Results: MUSE-DWI was superior to SS-EPI-DWI in image display and histological grade prediction. Impact: Compared with SS-EPI-DWI, MUSE-DWI can display the lesions of invasive breast cancer more intuitively, and it has higher robustness to the histological grade of invasive breast cancer.

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
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Openalex Percentile: Top 81%
AI in cancer detection
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Comparison of MUSE-DWI and Conventional DWI in the Application of Invasive Breast Cancer and Malignancy Grade Prediction: A Comparative Study — Yujing Chu, Longjiang Fang, 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