Development and validation of a clinical-bimodal nomogram to predict the malignancy of pathologic nipple discharge
A clinical-bimodal nomogram including MG-US parameters was established to predict the probability of malignancy in patients with PND, which may enable clinicians to identify the patients with a low risk of malignancy and formulate the individualized management strategies.
Authors
- Ran Gu (ORCID: https://orcid.org/0000-0002-2011-7623)
- Chang Gong (ORCID: https://orcid.org/0000-0001-5215-7497)
- Xiaola Guo (ORCID: https://orcid.org/0000-0001-5594-8905)
- Hongli Wang (ORCID: https://orcid.org/0000-0002-2096-6625)
- Yue Hu (ORCID: https://orcid.org/0000-0001-8226-666X)
- Jingsi Mei
- Yingying Zhu (ORCID: https://orcid.org/0000-0002-4664-4659)
- Fengtao Liu (ORCID: https://orcid.org/0000-0001-5194-6814)
- Xiaofang Jiang (ORCID: https://orcid.org/0000-0001-7065-4956)
Institutions
- Sun Yat-sen University (CN)
- Sun Yat-sen Memorial Hospital (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-09-24
- DOI
- https://doi.org/10.21037/qims-2025-701
- Primary Topic
- Breast Lesions and Carcinomas
- Type
- article
- Field-Weighted Citation Impact
- 0.00