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Diagnostic performance of combining sonographic features with BRAFV600E mutation for differentiating benign and malignant Bethesda category Ⅲ thyroid nodules
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Shuang WU, Xin LI, Chunlin TANG, Ping CHEN, Jun ZHANG, Haiyun HUANG, Yanli GUO
Journal of Army Medical University | 2026, 48(4) : 453 - 460
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Journal of Army Medical University | 2026, 48(4): 453-460
• Clinical Medicine •
Diagnostic performance of combining sonographic features with BRAFV600E mutation for differentiating benign and malignant Bethesda category Ⅲ thyroid nodules
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Shuang WU, Xin LI, Chunlin TANG, Ping CHEN, Jun ZHANG, Haiyun HUANG, Yanli GUO
Affiliations
  • 1Department of Ultrasonography, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
Published: 2026-02-28 doi: 10.16016/j.2097-0927.202510066
Outline
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Objective

To evaluate the diagnostic performance of combining sonographic features with BRAFV600E mutation for differentiating benign and malignant Bethesda category Ⅲ thyroid nodules.

Methods

This retrospective cohort study included 275 patients (278 nodules) diagnosed as Bethesda category Ⅲ by ultrasound-guided fine needle aspiration cytology (US-FNAC) at First Affiliated Hospital of Army Medical University between January 2020 and December 2024, with final confirmation via surgical pathology or repeated US-FNAC. Nodules were classified as benign or malignant based on pathological results. Diagnostic efficacy of age, sex, 9 sonographic features, ACR TI-RADS score, US-FNAC nuclear morphology, and BRAFV600E mutation was analyzed using multivariate logistic regression.

Results

Significant differences existed in age, nodule margin, aspect ratio, maximum diameter, echogenicity, Adler blood flow grading, ACR TI-RADS classification, US-FNAC nuclear morphology, and BRAFV600E status between benign and malignant nodules (all P<0.05). Independent risk factors for malignancy included age≤52 years (OR=7.444), BRAFV600E mutation (OR=108.218), ground-glass nuclei (OR=5.389), and abnormal cervical lymph nodes (OR=13.351, P<0.05). The combined model demonstrated accuracy was 0.823, sensitivity was 0.863, specificity was 0.925, positive predictive value was 0.977, negative predictive value was 0.649, and AUC was 0.955.

Conclusion

Integration of sonographic features and BRAFV600E mutation provides high diagnostic performance for Bethesda category Ⅲ thyroid nodules.

thyroid nodule  /  ultrasonography  /  atypia of undetermined significance  /  BRAF
吴爽, 李欣, 唐春霖, 陈萍, 张君, 黄海韵, 郭燕丽. 超声特征联合BRAFV600E基因对Bethesda Ⅲ类甲状腺结节良恶性的诊断效能. 陆军军医大学学报, 2026 , 48 (4) : 453 -460 . DOI: 10.16016/j.2097-0927.202510066
Shuang WU, Xin LI, Chunlin TANG, Ping CHEN, Jun ZHANG, Haiyun HUANG, Yanli GUO. Diagnostic performance of combining sonographic features with BRAFV600E mutation for differentiating benign and malignant Bethesda category Ⅲ thyroid nodules[J]. Journal of Army Medical University, 2026 , 48 (4) : 453 -460 . DOI: 10.16016/j.2097-0927.202510066
Year 2026 volume 48 Issue 4
124
53
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doi: 10.16016/j.2097-0927.202510066
  • Receive Date:2025-10-22
  • Online Date:2026-10-23
  • Published:2026-02-28
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History
  • Received:2025-10-22
  • Revised:2026-01-15
Affiliations
    1Department of Ultrasonography, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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