Predicting Axillary Lymph Node Status With a Nomogram Based on Breast Lesion Ultrasound Features: Performance in N1 Breast Cancer Patients
ObjectiveTo develop a nomogram for predicting axillary lymph node (ALN) metastases using the breast imaging reporting and data system (BI-RADS) ultrasound lexicon.MethodsA total of 703 patients from July 2015 to January 2018 were included in this study as a primary cohort for model construction. Mor...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-10-01
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| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2020.581321/full |
| _version_ | 1819009149503012864 |
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| author | Yanwen Luo Chenyang Zhao Yuanjing Gao Mengsu Xiao Wenbo Li Jing Zhang Li Ma Jing Qin Yuxin Jiang Qingli Zhu |
| author_facet | Yanwen Luo Chenyang Zhao Yuanjing Gao Mengsu Xiao Wenbo Li Jing Zhang Li Ma Jing Qin Yuxin Jiang Qingli Zhu |
| author_sort | Yanwen Luo |
| collection | DOAJ |
| description | ObjectiveTo develop a nomogram for predicting axillary lymph node (ALN) metastases using the breast imaging reporting and data system (BI-RADS) ultrasound lexicon.MethodsA total of 703 patients from July 2015 to January 2018 were included in this study as a primary cohort for model construction. Moreover, 109 patients including 51 pathologically confirmed N1 patients (TNM staging) and 58 non-metastatic patients were recruited as an external validation cohort from March 2018 to August 2019. Ultrasound images and clinical information of these patients were retrospectively reviewed. The ultrasonic features based on the BI-RADS lexicon were extracted by two radiologists. The features extracted from the primary cohort were used to develop a nomogram using multivariate analysis. Internal and external validations were performed to evaluate the predictive efficacy of the nomogram.ResultsThe nomogram was based on two features (size, lesion boundary) and showed an area under the curve of 0.75 (95% confidence interval [CI], 0.70–0.79) in the primary cohort and 0.91 (95% CI, 0.84–0.97) in the external validation cohort; it achieved an 88% sensitivity in N1 patients.ConclusionThe nomogram based on BI-RADS ultrasonic features can predict breast cancer ALN status with relatively high accuracy. It has potential clinical value in improving the sensitivity and accuracy of the preoperative diagnosis of ALN metastases, especially for N1 patients. |
| first_indexed | 2024-12-21T00:51:47Z |
| format | Article |
| id | doaj.art-d3c695a7deb741368cfe03b41bae5889 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-21T00:51:47Z |
| publishDate | 2020-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-d3c695a7deb741368cfe03b41bae58892022-12-21T19:21:24ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2020-10-011010.3389/fonc.2020.581321581321Predicting Axillary Lymph Node Status With a Nomogram Based on Breast Lesion Ultrasound Features: Performance in N1 Breast Cancer PatientsYanwen LuoChenyang ZhaoYuanjing GaoMengsu XiaoWenbo LiJing ZhangLi MaJing QinYuxin JiangQingli ZhuObjectiveTo develop a nomogram for predicting axillary lymph node (ALN) metastases using the breast imaging reporting and data system (BI-RADS) ultrasound lexicon.MethodsA total of 703 patients from July 2015 to January 2018 were included in this study as a primary cohort for model construction. Moreover, 109 patients including 51 pathologically confirmed N1 patients (TNM staging) and 58 non-metastatic patients were recruited as an external validation cohort from March 2018 to August 2019. Ultrasound images and clinical information of these patients were retrospectively reviewed. The ultrasonic features based on the BI-RADS lexicon were extracted by two radiologists. The features extracted from the primary cohort were used to develop a nomogram using multivariate analysis. Internal and external validations were performed to evaluate the predictive efficacy of the nomogram.ResultsThe nomogram was based on two features (size, lesion boundary) and showed an area under the curve of 0.75 (95% confidence interval [CI], 0.70–0.79) in the primary cohort and 0.91 (95% CI, 0.84–0.97) in the external validation cohort; it achieved an 88% sensitivity in N1 patients.ConclusionThe nomogram based on BI-RADS ultrasonic features can predict breast cancer ALN status with relatively high accuracy. It has potential clinical value in improving the sensitivity and accuracy of the preoperative diagnosis of ALN metastases, especially for N1 patients.https://www.frontiersin.org/articles/10.3389/fonc.2020.581321/fullnomogrambreast canceraxillary lymph node metastasisultrasoundprediction model |
| spellingShingle | Yanwen Luo Chenyang Zhao Yuanjing Gao Mengsu Xiao Wenbo Li Jing Zhang Li Ma Jing Qin Yuxin Jiang Qingli Zhu Predicting Axillary Lymph Node Status With a Nomogram Based on Breast Lesion Ultrasound Features: Performance in N1 Breast Cancer Patients Frontiers in Oncology nomogram breast cancer axillary lymph node metastasis ultrasound prediction model |
| title | Predicting Axillary Lymph Node Status With a Nomogram Based on Breast Lesion Ultrasound Features: Performance in N1 Breast Cancer Patients |
| title_full | Predicting Axillary Lymph Node Status With a Nomogram Based on Breast Lesion Ultrasound Features: Performance in N1 Breast Cancer Patients |
| title_fullStr | Predicting Axillary Lymph Node Status With a Nomogram Based on Breast Lesion Ultrasound Features: Performance in N1 Breast Cancer Patients |
| title_full_unstemmed | Predicting Axillary Lymph Node Status With a Nomogram Based on Breast Lesion Ultrasound Features: Performance in N1 Breast Cancer Patients |
| title_short | Predicting Axillary Lymph Node Status With a Nomogram Based on Breast Lesion Ultrasound Features: Performance in N1 Breast Cancer Patients |
| title_sort | predicting axillary lymph node status with a nomogram based on breast lesion ultrasound features performance in n1 breast cancer patients |
| topic | nomogram breast cancer axillary lymph node metastasis ultrasound prediction model |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2020.581321/full |
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