Development of a risk-stratification scoring system for predicting lymphovascular invasion in breast cancer
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 brea...
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| Format: | Article |
| Language: | English |
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BMC
2020-02-01
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| Series: | BMC Cancer |
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| Online Access: | https://doi.org/10.1186/s12885-020-6578-0 |
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| author | Ma-yi-di-li Ni-jia-ti Di-li-a-re-mu Ai-hai-ti Ai-si-ka-er-jiang Huo-jia Pa-li-dan-mu Wu-mai-er A-bu-du-ke-you-mu-jiang A-bu-li-zi Yu Shi Nu-er-a-mi-na Rou-zi Wen-jing Su Guo-zhao Dai Mai-he-mi-ti-jiang Da-mo-la |
| author_facet | Ma-yi-di-li Ni-jia-ti Di-li-a-re-mu Ai-hai-ti Ai-si-ka-er-jiang Huo-jia Pa-li-dan-mu Wu-mai-er A-bu-du-ke-you-mu-jiang A-bu-li-zi Yu Shi Nu-er-a-mi-na Rou-zi Wen-jing Su Guo-zhao Dai Mai-he-mi-ti-jiang Da-mo-la |
| author_sort | Ma-yi-di-li Ni-jia-ti |
| collection | DOAJ |
| description | 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 < 3.5, moderate risk if the score was 3.5 to 6.0, and high risk if the score was ≥6.0. LVI risk was segmented from 0 to 100.0% and was positively associated with an increase in risk scores. The AUC of the scoring system was 0.824 (95% confidence interval [CI]: 0.776--0.872). 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. |
| first_indexed | 2024-12-16T15:33:36Z |
| format | Article |
| id | doaj.art-f28625a41441408d8ad61674839b328c |
| institution | Directory Open Access Journal |
| issn | 1471-2407 |
| language | English |
| last_indexed | 2024-12-16T15:33:36Z |
| publishDate | 2020-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cancer |
| spelling | doaj.art-f28625a41441408d8ad61674839b328c2022-12-21T22:26:17ZengBMCBMC Cancer1471-24072020-02-012011910.1186/s12885-020-6578-0Development of a risk-stratification scoring system for predicting lymphovascular invasion in breast cancerMa-yi-di-li Ni-jia-ti0Di-li-a-re-mu Ai-hai-ti1Ai-si-ka-er-jiang Huo-jia2Pa-li-dan-mu Wu-mai-er3A-bu-du-ke-you-mu-jiang A-bu-li-zi4Yu Shi5Nu-er-a-mi-na Rou-zi6Wen-jing Su7Guo-zhao Dai8Mai-he-mi-ti-jiang Da-mo-la9Department of Radiology, The first people’s Hospital of Kashi areaDepartment of Radiology, The first people’s Hospital of Kashi areaDepartment of Radiology, The first people’s Hospital of Kashi areaDepartment of Radiology, The first people’s Hospital of Kashi areaDepartment of Radiology, The first people’s Hospital of Kashi areaDepartment of Radiology, The first people’s Hospital of Kashi areaDepartment of Radiology, The first people’s Hospital of Kashi areaDepartment of Radiology, The first people’s Hospital of Kashi areaDepartment of Radiology, The first people’s Hospital of Kashi areaDepartment of Radiology, The first people’s Hospital of Kashi areaAbstract 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 < 3.5, moderate risk if the score was 3.5 to 6.0, and high risk if the score was ≥6.0. LVI risk was segmented from 0 to 100.0% and was positively associated with an increase in risk scores. The AUC of the scoring system was 0.824 (95% confidence interval [CI]: 0.776--0.872). 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.https://doi.org/10.1186/s12885-020-6578-0Breast cancerMagnetic resonance imagingLymphovascular invasionRisk stratification |
| spellingShingle | Ma-yi-di-li Ni-jia-ti Di-li-a-re-mu Ai-hai-ti Ai-si-ka-er-jiang Huo-jia Pa-li-dan-mu Wu-mai-er A-bu-du-ke-you-mu-jiang A-bu-li-zi Yu Shi Nu-er-a-mi-na Rou-zi Wen-jing Su Guo-zhao Dai Mai-he-mi-ti-jiang Da-mo-la Development of a risk-stratification scoring system for predicting lymphovascular invasion in breast cancer BMC Cancer Breast cancer Magnetic resonance imaging Lymphovascular invasion Risk stratification |
| title | Development of a risk-stratification scoring system for predicting lymphovascular invasion in breast cancer |
| title_full | Development of a risk-stratification scoring system for predicting lymphovascular invasion in breast cancer |
| title_fullStr | Development of a risk-stratification scoring system for predicting lymphovascular invasion in breast cancer |
| title_full_unstemmed | Development of a risk-stratification scoring system for predicting lymphovascular invasion in breast cancer |
| title_short | Development of a risk-stratification scoring system for predicting lymphovascular invasion in breast cancer |
| title_sort | development of a risk stratification scoring system for predicting lymphovascular invasion in breast cancer |
| topic | Breast cancer Magnetic resonance imaging Lymphovascular invasion Risk stratification |
| url | https://doi.org/10.1186/s12885-020-6578-0 |
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