{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T00:00:27Z","timestamp":1791158427826,"version":"4.1.0"},"reference-count":22,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"2","license":[{"start":{"date-parts":[[2025,3,13]],"date-time":"2025-03-13T00:00:00Z","timestamp":1741824000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0"}],"content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Recent advancements in diagnostic techniques have resulted in a higher detection rate of thyroid cancers within existing thyroid nodules. The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) 2023 and the American College of Radiology-Thyroid Imaging Reporting and Data System (ACR-TIRADS) are first-line investigations for thyroid nodules, aiding in diagnosis and management decisions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives:<\/jats:title>\n                    <jats:p>To evaluate the concordance between TBSRTC 2023 and ACR-TIRADS in reporting thyroid lesions and assess their accuracy in diagnosing malignancies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods:<\/jats:title>\n                    <jats:p>This retrospective, laboratory data-based study included patients presenting with thyroid nodules, who underwent ultrasonography and fine needle aspiration cytology (FNAC), followed by thyroidectomy. Overall concordance between TBSRTC, ACR-TIRADS, and histopathologic diagnosis was evaluated, along with their diagnostic accuracy. Risk of malignancy (ROM) was calculated for both systems using the final HPE diagnosis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      115 patient records were analyzed. Interobserver agreement between TBSRTC and ACR-TIRADS was moderate (kappa = 0.493 \u00b1 0.093 [\u00b1SE]). ROM across extremes of TBSRTC and TIRADS categories were found to be similar. Higher TBSRTC grades correlated with higher ACR-TIRADS grades (Spearman\u2019s rank correlation coefficient = 0.594,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = 4.5 \u00d7 10\n                      <jats:sup>-16<\/jats:sup>\n                      ). The accuracy of FNAC findings and TIRADS to predict malignancy was 84.35% versus 80.87%, with no statistically significant difference (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = 0.644).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>Our findings suggest a good concordance between both reporting systems for thyroid nodules, with moderate interrater agreement. Both systems are equally useful for surgical decision-making and avoiding unnecessary surgeries.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.4103\/ijpm.ijpm_165_24","type":"journal-article","created":{"date-parts":[[2025,3,13]],"date-time":"2025-03-13T12:00:13Z","timestamp":1741867213000},"page":"338-343","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":2,"title":["Evaluation of concordance between the Bethesda System for Reporting Thyroid Cytopathology 2023 (TBSRTC) and ACR-TIRADS at a tertiary care center in Gujarat"],"prefix":"10.4103","volume":"68","author":[{"given":"Sushrita","family":"Biswas","sequence":"first","affiliation":[{"name":"Department of Pathology, B. J. Medical College and Civil Hospital, Ahmedabad, Gujarat, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ina","family":"Shah","sequence":"additional","affiliation":[{"name":"Department of Pathology, B. J. Medical College and Civil Hospital, Ahmedabad, Gujarat, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hansa","family":"Goswami","sequence":"additional","affiliation":[{"name":"Department of Pathology, B. J. Medical College and Civil Hospital, Ahmedabad, Gujarat, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Avik","family":"Chaudhuri","sequence":"additional","affiliation":[{"name":"Department of Pharmacology, B. J. 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