| Title: |
Comparison of S-Detect and thyroid imaging reporting and data system classifications in the diagnosis of cytologically indeterminate thyroid nodules |
| Authors: |
Ling Zhou; Lin-lin Zheng; Chuan-ju Zhang; Hong-fen Wei; Li-long Xu; Mu-rui Zhang; Qiang Li; Gao-fei He; Edem Prince Ghamor-Amegavi; Shi-yan Li |
| Source: |
Frontiers in Endocrinology, Vol 14 (2023) |
| Publisher Information: |
Frontiers Media S.A. |
| Publication Year: |
2023 |
| Collection: |
Directory of Open Access Journals: DOAJ Articles |
| Subject Terms: |
computer-aided diagnosis; thyroid imaging reporting and data system; ultrasound; diagnosis; cytologically indeterminate thyroid nodule; Diseases of the endocrine glands. Clinical endocrinology; RC648-665 |
| Description: |
PurposeThe aim of this study was to investigate the value of S-Detect for predicting the malignant risk of cytologically indeterminate thyroid nodules (CITNs).MethodsThe preoperative prediction of 159 CITNs (Bethesda III, IV and V) were performed using S-Detect, Thyroid Imaging Reporting and Data System of American College of Radiology (ACR TI-RADS) and Chinese TI-RADS (C-TIRADS). First, Linear-by-Linear Association test and chi-square test were used to analyze the malignant risk of CITNs. McNemar’s test and receiver operating characteristic curve were used to compare the diagnostic efficacy of S-Detect and the two TI-RADS classifications for CITNs. In addition, the McNemar’s test was used to compare the diagnostic accuracy of the above three methods for different pathological types of nodules.ResultsThe maximum diameter of the benign nodules was significantly larger than that of malignant nodules [0.88(0.57-1.42) vs 0.57(0.46-0.81), P=0.002]. The risk of malignant CITNs in Bethesda system and the two TI-RADS classifications increased with grade (all P for trend0.05). The ... |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
https://www.frontiersin.org/articles/10.3389/fendo.2023.1098031/full; https://doaj.org/toc/1664-2392; https://doaj.org/article/efce188e279e4431a76d756cda02299e |
| DOI: |
10.3389/fendo.2023.1098031 |
| Availability: |
https://doi.org/10.3389/fendo.2023.1098031; https://doaj.org/article/efce188e279e4431a76d756cda02299e |
| Accession Number: |
edsbas.FD55AF97 |
| Database: |
BASE |