Subharina Mahapatra, Manjula Hebbale, AmitA Mhapuskar, R. Halli, J. Visshishta, Simran Singh
{"title":"Comparative accuracy of various modes of ultrasonography in the diagnosis of lymph nodes in head and neck region—A prospective study","authors":"Subharina Mahapatra, Manjula Hebbale, AmitA Mhapuskar, R. Halli, J. Visshishta, Simran Singh","doi":"10.4103/jiaomr.jiaomr_171_23","DOIUrl":null,"url":null,"abstract":"Background: Imaging is crucial for diagnosing head and neck pathologies, particularly those involving lymph nodes (LNs). Ultrasound can detect nodes even smaller than 2 mm in diameter. Objectives: The objectives were to assess the accuracy of the ultrasonography (USG) findings in differentiating malignant and non-malignant LNs. Materials and Methods: Forty patients with clinically palpable LNs in the head and neck region were assigned to either of the two groups based on the inclusion criteria. All the patients were subjected to greyscale sonography, then USG Doppler and USG elastography, and finally, USG-guided FNAB. All the data were tabulated for statistical analysis. A Chi-square test was used. Sensitivity, specificity, positive predictive value, and negative predictive value were calculated. Results: In this study, sensitivity for greyscale USG was 82.8%, whereas sensitivity for USG doppler and USG elastography was 72.2% and specificity for greyscale USG, doppler, and elastography was 88.8%. Conclusion: USG Doppler and USG elastography can be used in conjunction with greyscale USG with high sensitivity and specificity to diagnose soft tissue pathology, particularly in the LNs of the head and neck regions.","PeriodicalId":31366,"journal":{"name":"Journal of Indian Academy of Oral Medicine and Radiology","volume":"26 1","pages":"378 - 382"},"PeriodicalIF":0.4000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Indian Academy of Oral Medicine and Radiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/jiaomr.jiaomr_171_23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Imaging is crucial for diagnosing head and neck pathologies, particularly those involving lymph nodes (LNs). Ultrasound can detect nodes even smaller than 2 mm in diameter. Objectives: The objectives were to assess the accuracy of the ultrasonography (USG) findings in differentiating malignant and non-malignant LNs. Materials and Methods: Forty patients with clinically palpable LNs in the head and neck region were assigned to either of the two groups based on the inclusion criteria. All the patients were subjected to greyscale sonography, then USG Doppler and USG elastography, and finally, USG-guided FNAB. All the data were tabulated for statistical analysis. A Chi-square test was used. Sensitivity, specificity, positive predictive value, and negative predictive value were calculated. Results: In this study, sensitivity for greyscale USG was 82.8%, whereas sensitivity for USG doppler and USG elastography was 72.2% and specificity for greyscale USG, doppler, and elastography was 88.8%. Conclusion: USG Doppler and USG elastography can be used in conjunction with greyscale USG with high sensitivity and specificity to diagnose soft tissue pathology, particularly in the LNs of the head and neck regions.
期刊介绍:
Journal of Indian Academy of Oral Medicine and Radiology (JIAOMR) (ISSN: Print - 0972-1363, Online - 0975-1572), an official publication of the Indian Academy of Oral Medicine and Radiology (IAOMR), is a peer-reviewed journal, published Quarterly , both in the form of hard copies (print version) as well as on the web (electronic version). The journal’s full text is available online at http://www.jiaomr.in. The journal allows free access (open access) to its contents and permits authors to self-archive final accepted version of the articles on any OAI-compliant institutional / subject-based repository.