Investigation of correlation between shear wave elastography and lymphangiogenesis in invasive breast cancer and diagnosis of axillary lymph node metastasis
Abstract Background Accurate evaluation of axillary lymph node metastasis (LNM) in breast cancer is very important. A large number of hyperplastic and dilated lymphangiogenesis cases can usually be found in the pericancerous tissue of breast cancer to promote the occurrence of tumor metastasis.Shear...
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BMC
2024-04-01
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| Series: | BMC Cancer |
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| Online Access: | https://doi.org/10.1186/s12885-024-12115-x |
| _version_ | 1797219714780364800 |
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| author | Bo Li Shaochun Dai Qiucheng Wang Hui Jing Hua Shao Lei Zhang Ling Qin Cong Qiao Zhuozhong Wang Wen Cheng |
| author_facet | Bo Li Shaochun Dai Qiucheng Wang Hui Jing Hua Shao Lei Zhang Ling Qin Cong Qiao Zhuozhong Wang Wen Cheng |
| author_sort | Bo Li |
| collection | DOAJ |
| description | Abstract Background Accurate evaluation of axillary lymph node metastasis (LNM) in breast cancer is very important. A large number of hyperplastic and dilated lymphangiogenesis cases can usually be found in the pericancerous tissue of breast cancer to promote the occurrence of tumor metastasis.Shear wave elastography (SWE) can be used as an important means for evaluating pericancerous stiffness. We determined the stiffness of the pericancerous by SWE to diagnose LNM and lymphangiogenesis in invasive breast cancer (IBC). Methods Patients with clinical T1-T2 stage IBC who received surgical treatment in our hospital from June 2020 to December 2020 were retrospectively enrolled. A total of 299 patients were eventually included in the preliminary study, which included an investigation of clinicopathological features, ultrasonic characteristics, and SWE parameters. Multivariable logistic regression analysis was used to establish diagnostic model and evaluated its diagnostic performance of LNM. The correlation among SWE values, collagen volume fraction (CVF), and microlymphatic density (MLD) in primary breast cancer lesions was analyzed in another 97 patients. Results The logistic regression model is Logit(P)=-1.878 + 0.992*LVI-2.010*posterior feature enhancement + 1.230*posterior feature shadowing + 0.102*posterior feature combined pattern + 0.009*Emax. The optimum cutoff value of the logistic regression model was 0.365, and the AUC (95% CI) was 0.697 (0.636–0.758); the sensitivity (70.7 vs. 54.3), positive predictive value (PPV) (54.0 vs. 50.8), negative predictive value (NPV) (76.9 vs. 69.7), and accuracy (65.2 vs. 61.9) were all higher than Emax. There was no correlation between the SWE parameters and MLD in primary breast cancer lesions. Conclusions The logistic regression model can help us to determine LNM, thus providing more imaging basis for the selection of preoperative treatment. The SWE parameter of the primary breast cancer lesion cannot reflect the peritumoral lymphangiogenesis, and we still need to find a new ultrasonic imaging method. |
| first_indexed | 2024-04-24T12:38:02Z |
| format | Article |
| id | doaj.art-216a6283039c44cea2d445214337250b |
| institution | Directory Open Access Journal |
| issn | 1471-2407 |
| language | English |
| last_indexed | 2024-04-24T12:38:02Z |
| publishDate | 2024-04-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cancer |
| spelling | doaj.art-216a6283039c44cea2d445214337250b2024-04-07T11:21:29ZengBMCBMC Cancer1471-24072024-04-012411910.1186/s12885-024-12115-xInvestigation of correlation between shear wave elastography and lymphangiogenesis in invasive breast cancer and diagnosis of axillary lymph node metastasisBo Li0Shaochun Dai1Qiucheng Wang2Hui Jing3Hua Shao4Lei Zhang5Ling Qin6Cong Qiao7Zhuozhong Wang8Wen Cheng9Department of Ultrasound, Harbin Medical University Cancer HospitalDepartment of Ultrasound, Harbin Medical University Cancer HospitalDepartment of Ultrasound, Harbin Medical University Cancer HospitalDepartment of Ultrasound, Harbin Medical University Cancer HospitalDepartment of Ultrasound, Harbin Medical University Cancer HospitalDepartment of Ultrasound, Harbin Medical University Cancer HospitalDepartment of Pathology, Harbin Medical University Cancer HospitalDepartment of Pathology, Harbin Medical UniversityThe Key Laboratory of Myocardial Ischemia, Harbin Medical University, Ministry of EducationDepartment of Ultrasound, Harbin Medical University Cancer HospitalAbstract Background Accurate evaluation of axillary lymph node metastasis (LNM) in breast cancer is very important. A large number of hyperplastic and dilated lymphangiogenesis cases can usually be found in the pericancerous tissue of breast cancer to promote the occurrence of tumor metastasis.Shear wave elastography (SWE) can be used as an important means for evaluating pericancerous stiffness. We determined the stiffness of the pericancerous by SWE to diagnose LNM and lymphangiogenesis in invasive breast cancer (IBC). Methods Patients with clinical T1-T2 stage IBC who received surgical treatment in our hospital from June 2020 to December 2020 were retrospectively enrolled. A total of 299 patients were eventually included in the preliminary study, which included an investigation of clinicopathological features, ultrasonic characteristics, and SWE parameters. Multivariable logistic regression analysis was used to establish diagnostic model and evaluated its diagnostic performance of LNM. The correlation among SWE values, collagen volume fraction (CVF), and microlymphatic density (MLD) in primary breast cancer lesions was analyzed in another 97 patients. Results The logistic regression model is Logit(P)=-1.878 + 0.992*LVI-2.010*posterior feature enhancement + 1.230*posterior feature shadowing + 0.102*posterior feature combined pattern + 0.009*Emax. The optimum cutoff value of the logistic regression model was 0.365, and the AUC (95% CI) was 0.697 (0.636–0.758); the sensitivity (70.7 vs. 54.3), positive predictive value (PPV) (54.0 vs. 50.8), negative predictive value (NPV) (76.9 vs. 69.7), and accuracy (65.2 vs. 61.9) were all higher than Emax. There was no correlation between the SWE parameters and MLD in primary breast cancer lesions. Conclusions The logistic regression model can help us to determine LNM, thus providing more imaging basis for the selection of preoperative treatment. The SWE parameter of the primary breast cancer lesion cannot reflect the peritumoral lymphangiogenesis, and we still need to find a new ultrasonic imaging method.https://doi.org/10.1186/s12885-024-12115-xShear wave elastographyLymphangiogenesisLymph node metastasis |
| spellingShingle | Bo Li Shaochun Dai Qiucheng Wang Hui Jing Hua Shao Lei Zhang Ling Qin Cong Qiao Zhuozhong Wang Wen Cheng Investigation of correlation between shear wave elastography and lymphangiogenesis in invasive breast cancer and diagnosis of axillary lymph node metastasis BMC Cancer Shear wave elastography Lymphangiogenesis Lymph node metastasis |
| title | Investigation of correlation between shear wave elastography and lymphangiogenesis in invasive breast cancer and diagnosis of axillary lymph node metastasis |
| title_full | Investigation of correlation between shear wave elastography and lymphangiogenesis in invasive breast cancer and diagnosis of axillary lymph node metastasis |
| title_fullStr | Investigation of correlation between shear wave elastography and lymphangiogenesis in invasive breast cancer and diagnosis of axillary lymph node metastasis |
| title_full_unstemmed | Investigation of correlation between shear wave elastography and lymphangiogenesis in invasive breast cancer and diagnosis of axillary lymph node metastasis |
| title_short | Investigation of correlation between shear wave elastography and lymphangiogenesis in invasive breast cancer and diagnosis of axillary lymph node metastasis |
| title_sort | investigation of correlation between shear wave elastography and lymphangiogenesis in invasive breast cancer and diagnosis of axillary lymph node metastasis |
| topic | Shear wave elastography Lymphangiogenesis Lymph node metastasis |
| url | https://doi.org/10.1186/s12885-024-12115-x |
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