Document Type
Article
Publication Date
10-14-2022
Publication Title
Biomedicines
Abstract
Papillary thyroid carcinoma (PTC) is the most common thyroid cancer worldwide and is known to spread to adjacent neck lymphatics. Lymph node metastasis (LNM) is a known predictor of disease recurrence and is an indicator for aggressive resection. Our study aims to determine if ultrasound sonographers’ degree of training influences overall LNM detection. PubMed, Embase, and Scopus articles were searched and screened for relevant articles. Two investigators independently screened and extracted the data. Diagnostic test parameters were determined for all studies, studies reported by radiologists, and studies reported by non-radiologists. The total sample size amounted to 5768 patients and 10,030 lymph nodes. Radiologists performed ultrasounds in 18 studies, while non-radiologists performed ultrasounds in seven studies, corresponding to 4442 and 1326 patients, respectively. The overall sensitivity of LNM detection by US was 59% (95%CI = 58–60%), and the overall specificity was 85% (95%CI = 84–86%). The sensitivity and specificity of US performed by radiologists were 58% and 86%, respectively. The sensitivity and specificity of US performed by non-radiologists were 62% and 78%, respectively. Summary receiver operating curve (sROC) found radiologists and non-radiologists to detect LNM on US with similar accuracy (p = 0.517). Our work suggests that both radiologists and non-radiologists alike detect overall LNM with high accuracy on US.
Volume
10
Issue
10
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Issa, Peter P.; Mueller, Lauren; Hussein, Mohammad; Albuck, Aaron; Shama, Mohamed; Toraih, Eman; and Kandil, Emad, "Radiologist Versus Non-radiologist Detection Of Lymph Node Metastasis In Papillary Thyroid Carcinoma By Ultrasound: A Meta-analysis" (2022). School of Medicine Faculty Publications. 552.
https://digitalscholar.lsuhsc.edu/som_facpubs/552
10.3390/biomedicines10102575
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