The role of ultrasound elastography and virtual touch tissue imaging in the personalized prediction of lymph node metastasis of breast cancer

Wang, Jue; Ben, Zhifei; Gao, Shanshan; Lyu, Shuyi; Wei, Xiuzhi

doi:10.21037/gs-21-199

Cited by 6 publications

(7 citation statements)

References 14 publications

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“…One thousand two hundred and thirty‐seven duplicate records were removed. After screening 2631 titles and abstracts and 94 full texts, 61 articles 15,17–26,41–90 proved eligible. The detail of the study selection process is illustrated in Fig.…”

Section: Resultsmentioning

confidence: 99%

Different Imaging Modalities for the Diagnosis of Axillary Lymph Node Metastases in Breast Cancer: A Systematic Review and Network Meta‐Analysis of Diagnostic Test Accuracy

Gao

Gong

et al. 2022

Magnetic Resonance Imaging

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Background: Accurate diagnosis of axillary lymph node metastasis (ALNM) of breast cancer patients is important to guide local and systemic treatment. Purpose: To evaluate the diagnostic performance of different imaging modalities for ALNM in patients with breast cancer. Study Type: Systematic review and network meta-analysis (NMA). Subjects: Sixty-one original articles with 8011 participants. Field Strength: 1.5 T and 3.0 T. Assessment: We used the QUADAS-2 and QUADAS-C tools to assess the risk of bias in eligible studies. The identified articles assessed ultrasonography (US), MRI, mammography, ultrasound elastography (UE), PET, CT, PET/CT, scintimammography, and PET/MRI. Statistical Analysis: We used random-effects conventional meta-analyses and Bayesian network meta-analyses for data analyses. We used sensitivity and specificity, relative sensitivity and specificity, superiority index, and summary receiver operating characteristic curve (SROC) analysis to compare the diagnostic value of different imaging modalities. Results: Sixty-one studies evaluated nine imaging modalities. At patient level, sensitivities of the nine imaging modalities ranged from 0.27 to 0.84 and specificities ranged from 0.84 to 0.95. Patient-based NMA showed that UE had the highest superiority index (5.95) with the highest relative sensitivity of 1.13 (95% confidence interval [CI]: 0.93-1.29) among all imaging methods when compared to US. At lymph node level, MRI had the highest superiority index (6.91) with highest relative sensitivity of 1.13 (95% CI: 1.01-1.23) and highest relative specificity of 1.11 (95% CI: 0.95-1.23) among all imaging methods when compared to US. SROCs also showed that UE and MRI had the largest area under the curve (AUC) at patient level and lymph node level of 0.92 and 0.94, respectively. Data Conclusion: UE and MRI may be superior to other imaging modalities in the diagnosis of ALNM in breast cancer patients at the patient level and the lymph node level, respectively. Further studies are needed to provide high-quality evidence to validate our findings.

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Section: Resultsmentioning

confidence: 99%

Different Imaging Modalities for the Diagnosis of Axillary Lymph Node Metastases in Breast Cancer: A Systematic Review and Network Meta‐Analysis of Diagnostic Test Accuracy

Gao

Gong

et al. 2022

Magnetic Resonance Imaging

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“…UE is widely used in the diagnosis of superficial organs and lymph node metastases. Wang J et al (24) believed that traditional two-dimensional ultrasound technology is not ideal for the differential diagnosis of breast cancer axillary lymph node metastases, while UE can accurately reflect tissue stiffness. Thus, the types of breast cancer axillary lymph node metastasis can be identified semi-quantitatively.…”

Section: Discussionmentioning

confidence: 99%

“…A total of 7776 patients (range, 42-313) were included in 22 studies (3,10,(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31), all of whom were pathologically confirmed to have lymph node metastases of breast cancer. Among these studies, there were 2 retrospective studies and 20 randomized controlled studies.…”

Section: Study Characteristicsmentioning

confidence: 99%

Diagnostic value of multiple ultrasound diagnostic techniques for axillary lymph node metastases in breast cancer: A systematic analysis and network meta-analysis

Wang

et al. 2023

Front. Oncol.

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BackgroundEarly diagnosis of axillary lymph node metastasis is very important for the recurrence and prognosis of breast cancer. Currently, Lymph node biopsy is one of the important methods to detect lymph node metastasis in breast cancer, however, its invasiveness might bring complications to patients. Therefore, this study investigated the diagnostic performance of multiple ultrasound diagnostic methods for axillary lymph node metastasis of breast cancer.Materials and methodsIn this study, we searched PubMed, Web of Science, CNKI and Wan Fang databases, conducted Bayesian network meta-analysis (NMA) on the studies that met the inclusion criteria, and evaluated the consistency of five different ultrasound imaging techniques in axillary lymph node metastasis of breast cancer. Funnel graph was used to evaluate whether it had publication bias. The diagnostic performance of each ultrasound imaging method was ranked using SUCRAResultsA total of 22 papers were included, US+CEUS showed the highest SUCRA values in terms of sensitivity (SEN) (0.874), specificity (SPE) (0.911), positive predictive value (PPV) (0.972), negative predictive value (NPV) (0.872) and accuracy (ACC) (0.990).ConclusionIn axillary lymph node metastasis of breast cancer, the US+CEUS combined diagnostic method showed the highest SUCRA value among the five ultrasound diagnostic methods. This study provides a theoretical basis for preoperative noninvasive evaluation of axillary lymph node metastases in breast cancer patients and clinical treatment decisions.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022351977.

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“…A score was evaluated based on the aspect ratio and the short axis diameter of the lymph node ( 42 ). Plus, the maximum value (Emax), average value (Emean), and minimum value (Emin) of Young’s modulus were assessed by SWE, and a static image was kept ( 43 , 44 ). Afterwards, univariate analysis was performed using ALN metastasis as a dependent variable and the CUE scores.…”

Section: Methodsmentioning

confidence: 99%

The Value of Shear Wave Elastography in the Diagnosis of Breast Cancer Axillary Lymph Node Metastasis and Its Correlation With Molecular Classification of Breast Masses

Luo

Zhang

et al. 2022

Front. Oncol.

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ObjectiveTo explore the diagnostic value of shear wave elastography examination (SWE) on axillary node metastasis (ANM) in breast cancer, this study aimed to evaluate the correlation between the SWE features and different molecular types of breast cancer, and to check the elastic modulus differences among the molecular types.MethodsBreast cancer patients from November 2020 to December 2021 were subjected to both conventional ultrasonic examination (CUE) and SWE before ultrasound-guided percutaneous biopsy or axillary lymph node dissection (ALND). We used the pathological results as the gold standard to draw the receiver operating characteristic (ROC) curve.ResultsSWE outperforms CUE, but their conjunctive use is the best option. No significant correlation was found between the elastic modulus values and the molecular types of breast cancer.ConclusionSWE can be used as an routine auxiliary method of CUE for ANM.

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The role of ultrasound elastography and virtual touch tissue imaging in the personalized prediction of lymph node metastasis of breast cancer

Cited by 6 publications

References 14 publications

Different Imaging Modalities for the Diagnosis of Axillary Lymph Node Metastases in Breast Cancer: A Systematic Review and Network Meta‐Analysis of Diagnostic Test Accuracy

Different Imaging Modalities for the Diagnosis of Axillary Lymph Node Metastases in Breast Cancer: A Systematic Review and Network Meta‐Analysis of Diagnostic Test Accuracy

Diagnostic value of multiple ultrasound diagnostic techniques for axillary lymph node metastases in breast cancer: A systematic analysis and network meta-analysis

The Value of Shear Wave Elastography in the Diagnosis of Breast Cancer Axillary Lymph Node Metastasis and Its Correlation With Molecular Classification of Breast Masses

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