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Development of a risk-stratification scoring system for predicting lymphovascular invasion in breast cancer
- Source :
- BMC Cancer, Vol 20, Iss 1, Pp 1-9 (2020), BMC Cancer
- Publication Year :
- 2020
- Publisher :
- BMC, 2020.
-
Abstract
- Background Lymphovascular invasion (LVI) is a vital risk factor for prognosis across cancers. We aimed to develop a scoring system for stratifying LVI risk in patients with breast cancer. Methods A total of 301 consecutive patients (mean age, 49.8 ± 11.0 years; range, 29–86 years) with breast cancer confirmed by pathological reports were retrospectively evaluated at the authors’ institution between June 2015 and October 2018. All patients underwent contrast-enhanced Magnetic Resonance Imaging (MRI) examinations before surgery. MRI findings and histopathologic characteristics of tumors were collected for analysis. Breast LVI was confirmed by postoperative pathology. We used a stepwise logistic regression to select variables and two cut-points were determined to create a three-tier risk-stratification scoring system. The patients were classified as having low, moderate and high probability of LVI. The area under the receiver operating characteristic curve (AUC) was used to evaluate the discrimination ability of the scoring system. Results Tumor margins, lobulation sign, diffusion-weighted imaging appearance, MRI-reported axillary lymph node metastasis, time to signal intensity curve pattern, and HER-2 were selected as predictors for LVI in the point-based scoring system. Patients were considered at low risk if the score was Conclusion This study shows that a simple and reliable score-based risk-stratification system can be practically used in stratifying the risk of LVI in breast cancer.
- Subjects :
- Adult
Cancer Research
medicine.medical_specialty
Lymphovascular invasion
Breast Neoplasms
lcsh:RC254-282
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Breast cancer
Magnetic resonance imaging
Genetics
medicine
Humans
Neoplasm Invasiveness
Risk factor
Pathological
Risk stratification
Aged
Retrospective Studies
Aged, 80 and over
medicine.diagnostic_test
Receiver operating characteristic
business.industry
Stepwise regression
Middle Aged
medicine.disease
lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Confidence interval
Diffusion Magnetic Resonance Imaging
Logistic Models
Oncology
030220 oncology & carcinogenesis
Area Under Curve
Lymphatic Metastasis
Female
Radiology
business
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 14712407
- Volume :
- 20
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- BMC Cancer
- Accession number :
- edsair.doi.dedup.....12ca7b130411d7d3831c69e146a0af9f