Evidence map›Paper›PMID 35022917›Full record

ArticleClinical and experimental medicine2022

The relationship between ultrasound-based TIRADS and BETHESDA categories in patients undergoing thyroid biopsy.

Suleyman Hilmi Aksoy, Ozlem Uygun, Isil Yurdaisik, Lora Ates, Selami Aydin

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Article in Clinical and experimental medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Suleyman Hilmi AksoyDepartment of Radiology, Galata University, Hisar Intercontinental Hospital, Saray Mah. Site Yolu Cad. No: 7, 34768, Ümraniye, İstanbul, Turkey. mdshilmiaksoy@gmail.com.ORCID http://orcid.org/0000-0002-2356-0268
Ozlem UygunDepartment of Radiology, Galata University, Hisar Intercontinental Hospital, Saray Mah. Site Yolu Cad. No: 7, 34768, Ümraniye, İstanbul, Turkey.
Isil YurdaisikDepartment of Radiology, Istinye University, Medical Park Gaziosmanpasa Hospital, Istanbul, Turkey.
Lora AtesDepartment of Pathology, Hisar Intercontinental Hospital, Istanbul, Turkey.
Selami AydinDepartment of Internal Medicine, Hisar Intercontinental Hospital, Istanbul, Turkey.
Galatasaray University · TRIstinye University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The TIRADS is a scoring system used for the selection of nodules for FNA and classification of the risk of malignancy based on ultrasound characteristics. The BETHESDA is a standard reporting system used for the classification of FNA results based on six criteria with risks for malignancy. The objective of this study was to evaluate the relationship between TIRADS and BSRTC classifications in patients undergoing thyroid biopsy. A total of 350 consecutive patients were retrospectively evaluated using TIRADS and BETHESDA reporting systems for determining preoperative diagnosis of thyroid nodules. Patients' demographics, size, echogenicity and contour status of the nodules, TIRADS and BETHESDA scores were recorded and analyzed. Data obtained in this study were expressed as mean, standard deviation, frequency and percentage descriptive statistics. The mean age of the patients was 49.03 ± 17.58 years. The mean nodule size was measured as 20.56 ± 10.47 mm. TIRADS TR3 category was found in 165 (47.14%), TR4 in 154 (44%) and TR5 in 31 (8.86%) patients, while BETHESDA II category was found in 288 (82.28%), BETHESDA III category in 1 (0.29%), BETHESDA IV category in 19 (5.43%), BETHESDA V in 37 (10.57%) and BETHESDA VI in 5 (1.43%) patients. There was a general concordance between BETHESDA and TRIADS categories. The most significant concordance was found between BETHESDA IV and TR4 categories (84.21%). Combined use of TRIADS and BETHESDA can be efficiently used to provide the most accurate results for making preoperative diagnosis of thyroid nodules and to determine the risk of malignancy.

Indexed as

Thyroid NeoplasmsThyroid NoduleAdultAgedBiopsy, Fine-NeedleHumansMiddle AgedRetrospective StudiesUltrasonographyBETHESDAThyroid cancerThyroid nodulesTIRADSUltrasound

Identifiers

PMID35022917
OpenAlexW4205471349

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.