A prediction model based on dual-layer spectral detector computed tomography for distinguishing nonluminal from luminal invasive breast cancer
DLCT quantitative parameters are valuable noninvasive indexes for differentiating between the luminal and nonluminal types of invasive breast cancer. Furthermore, the nomogram constructed in this study could guide individualized predictions of molecular subtypes in patients with invasive breast cancer.
Authors
- Siye Liu (ORCID: https://orcid.org/0000-0003-3266-9270)
- Zhaodong Ai
- Ming Yang (ORCID: https://orcid.org/0000-0003-0310-5839)
- Xiaoping Yu (ORCID: https://orcid.org/0000-0003-4502-1027)
- Lian Jian (ORCID: https://orcid.org/0000-0002-8726-875X)
- Lanlan Wang (ORCID: https://orcid.org/0000-0002-0601-1275)
- Jun Liu (ORCID: https://orcid.org/0000-0001-8148-9175)
Institutions
- Central South University (CN)
- Hunan Cancer Hospital (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2024-11-21
- DOI
- https://doi.org/10.21037/qims-24-598
- Citations
- 1
- Primary Topic
- Infrared Thermography in Medicine
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Central South University