Ng, Wei Lin and Omar, Norlia and Ab Mumin, Nazimah and Hamid, Marlina Tanty Ramli and Vijayananthan, Anushya and Rahmat, Kartini (2022) Diagnostic accuracy of shear wave elastography as an adjunct tool in detecting axillary lymph nodes metastasis. Academic Radiology, 29 (1, SI). S69-S78. ISSN 1076-6332, DOI https://doi.org/10.1016/j.acra.2021.03.018.
Full text not available from this repository.Abstract
This study evaluates the diagnostic performance of shear wave elastography (SWE) in differentiating between benign and axillary lymph node (ALN) metastasis in breast carcinoma. Materials and methods: Breast lesions and axillae of 107 patients were assessed using B-mode ultrasound and SWE. Histopathology was the diagnostic gold standard. Results: In metastatic axillary lymph nodes, qualitative SWE using color patterns had the highest area under curve (AUC) value, followed by B-mode Ultrasound (cortical thickening >3 mm) and quantitative SWE using Emax of 15.2 kPa (AUC of 81.3%, 70.1%, and 61.2%, respectively). Qualitative SWE exhibited better diagnostic performance than the other two parameters, with sensitivity of 96.0% and specificity of 56.1%. Combination of B-mode Ultrasound (using cortical thickness of >3 mm as cut-off point) and qualitative SWE (Color patterns of 2 to 4) showed sensitivity of 71.6%, specificity of 95%, PPV of 96%, NPV of 66.7%, and accuracy of 80.4%. Conclusion: Qualitative SWE assessment exhibited higher accuracy compared to quantitative values. Qualitative SWE as an adjunct to B-mode ultrasound can further improve the diagnostic accuracy of metastatic ALN in breast cancer.
| Item Type: | Article |
|---|---|
| Funders: | University of Malaya Faculty Research Grant (RU Grant-Faculty Programme)[GPF06C-2018], Fundamental Research Grant Scheme[FRGS/1/2019/SKK03/UM/01/1] |
| Uncontrolled Keywords: | Axillary lymph nodes;Metastasis;Shearwave elastography; Elasticity imaging techniques;Ultrasonography |
| Subjects: | R Medicine R Medicine > R Medicine (General) R Medicine > R Medicine (General) > Medical technology |
| Divisions: | Faculty of Medicine |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 03 Aug 2022 06:18 |
| Last Modified: | 03 Aug 2022 06:18 |
| URI: | http://eprints.um.edu.my/id/eprint/33579 |
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