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Zhou T, Xu L, Shi J, Zhang Y, Lin X, Wang Y, Hu T, Xu R, Xie L, Sun L, Li D, Zhang W, Chen C, Wang W, Xu C, Kong F, Xun Y, Yu L, Zhang S, Ding J, Wu F, Tang T, Zhan S, Zhang J, Wu G, Zheng H, Kong D, Luo D. US of thyroid nodules: can AI-assisted diagnostic system compete with fine needle aspiration? Eur Radiol 2024; 34:1324-1333. [PMID: 37615763 DOI: 10.1007/s00330-023-10132-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 06/20/2023] [Accepted: 07/04/2023] [Indexed: 08/25/2023]
Abstract
OBJECTIVES Artificial intelligence (AI) systems can diagnose thyroid nodules with similar or better performance than radiologists. Little is known about how this performance compares with that achieved through fine needle aspiration (FNA). This study aims to compare the diagnostic yields of FNA cytopathology alone and combined with BRAFV600E mutation analysis and an AI diagnostic system. METHODS The ultrasound images of 637 thyroid nodules were collected in three hospitals. The diagnostic efficacies of an AI diagnostic system, FNA-based cytopathology, and BRAFV600E mutation analysis were evaluated in terms of sensitivity, specificity, accuracy, and the κ coefficient with respect to the gold standard, defined by postsurgical pathology and consistent benign outcomes from two combined FNA and mutation analysis examinations performed with a half-year interval. RESULTS The malignancy threshold for the AI system was selected according to the Youden index from a retrospective cohort of 346 nodules and then applied to a prospective cohort of 291 nodules. The combination of FNA cytopathology according to the Bethesda criteria and BRAFV600E mutation analysis showed no significant difference from the AI system in terms of accuracy for either cohort in our multicenter study. In addition, for 45 included indeterminate Bethesda category III and IV nodules, the accuracy, sensitivity, and specificity of the AI system were 84.44%, 95.45%, and 73.91%, respectively. CONCLUSIONS The AI diagnostic system showed similar diagnostic performance to FNA cytopathology combined with BRAFV600E mutation analysis. Given its advantages in terms of operability, time efficiency, non-invasiveness, and the wide availability of ultrasonography, it provides a new alternative for thyroid nodule diagnosis. CLINICAL RELEVANCE STATEMENT Thyroid ultrasonic artificial intelligence shows statistically equivalent performance for thyroid nodule diagnosis to FNA cytopathology combined with BRAFV600E mutation analysis. It can be widely applied in hospitals and clinics to assist radiologists in thyroid nodule screening and is expected to reduce the need for relatively invasive FNA biopsies. KEY POINTS • In a retrospective cohort of 346 nodules, the evaluated artificial intelligence (AI) system did not significantly differ from fine needle aspiration (FNA) cytopathology alone and combined with gene mutation analysis in accuracy. • In a prospective multicenter cohort of 291 nodules, the accuracy of the AI diagnostic system was not significantly different from that of FNA cytopathology either alone or combined with gene mutation analysis. • For 45 indeterminate Bethesda category III and IV nodules, the AI system did not perform significantly differently from BRAFV600E mutation analysis.
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Affiliation(s)
- Tianhan Zhou
- Department of Surgical Oncology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
- The Department of General Surgery, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, China
| | - Lei Xu
- Zhejiang Qiushi Institute for Mathematical Medicine, Hangzhou, China
| | - Jingjing Shi
- Department of Surgical Oncology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yu Zhang
- Department of Surgical Oncology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiangfeng Lin
- Department of Thyroid Surgery, Affiliated Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
| | - Yuanyuan Wang
- Department of Thyroid Surgery, The First Affiliated Hospital of Henan University, Zhengzhou, China
| | - Tao Hu
- The Fourth Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Rujun Xu
- Department of Pathology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lesi Xie
- Department of Pathology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lijuan Sun
- Department of Pathology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Dandan Li
- Department of Pathology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wenhua Zhang
- Department of Pathology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Chuanghua Chen
- Department of Ultrasonography, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wei Wang
- Department of Ultrasonography, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Chenke Xu
- Department of Ultrasonography, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Fanlei Kong
- Department of Ultrasonography, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yanping Xun
- Department of Translational Medicine Research Center, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lingying Yu
- Department of Endocrinology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shirong Zhang
- Department of Translational Medicine Research Center, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jinwang Ding
- Department of Head and Neck Surgery, Cancer hospital of the University of Chinese Academy of Sciences, Hangzhou, China
| | - Fan Wu
- Department of Surgical Oncology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Tian Tang
- The Fourth Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Siqi Zhan
- The Fourth Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Jiaoping Zhang
- Department of Surgical Oncology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Guoyang Wu
- Department of General Surgery, Affiliated Zhongshan Hospital, Xiamen University, Xiamen, China.
| | - Haitao Zheng
- Department of Thyroid Surgery, Affiliated Yantai Yuhuangding Hospital, Qingdao University, Yantai, China.
| | - Dexing Kong
- College of Mathematical Medicine, Zhejiang Normal University, Jinhua, China.
- School of Mathematical Sciences, Zhejiang University, Hangzhou, China.
| | - Dingcun Luo
- Department of Surgical Oncology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
- The Fourth Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China.
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Huang G, Liu W, Han L, Zhang Y, Liu S, Zhang J, Niu B. Age and BRAFV600E Mutation Stratified Patients with Cytologically Benign Thyroid Nodules. Int J Gen Med 2023; 16:6025-6039. [PMID: 38148884 PMCID: PMC10750481 DOI: 10.2147/ijgm.s443711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 12/12/2023] [Indexed: 12/28/2023] Open
Abstract
Purpose Our objective was to evaluate the diagnostic performance of BRAFV600E mutation for malignant, and to identify clinical characteristics associated with positive BRAFV600E mutation in low-risk cytological and ultrasound diagnostic thyroid nodules. This aims to identify patients who may benefit from BRAFV600E mutation testing and subsequent surgical intervention. Patients and Methods We analysis the clinical characteristics correlated with BRAFV600E mutation in our detection cohort, including 204 patients with 217 thyroid nodules, and separate analyses were performed in 103 thyroid nodules with benign cytological result. Signaling pathway and immune response associated with age and BRAFV600E mutation status were also evaluated in Asian patients with thyroid cancer from the Cancer Genome Atlas (TCGA) dataset. Results The positive BRAFV600E mutation was significantly associated with higher Ultrasound (US) classification (p<0.001) and fine-needle aspiration (FNA) categories (p<0.001). BRAFV600E mutation as a risk factor for malignancy, showing the optimal diagnostic efficacy for malignancy combined with FNA categories, with the AUC was 0.923. Otherwise, BRAFV600E mutation is a risk factor in screening malignancy in low-risk FNA and US classification, which is significant correlation with patients age. Patients over 50 years old exhibiting a higher percentage of positive BRAFV600E mutation when both ultrasound and FNA results indicate benign conditions, with higher risk of malignancy. Conclusion BRAFV600E mutation is an accurate adjunctive diagnostic marker on FNA to screen malignancy. In low risk of both ultrasound and FNA results, the positive BRAFV600E was significant increased in patients over 50 years old, which have higher risk of malignancy. Thus, the BRAFV600E mutation detection and further surgery should be strengthened in older patients with benign cytological and US results thyroid nodules.
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Affiliation(s)
- Guocong Huang
- Department of Thyroid and Breast Surgery, The First Hospital of Putian City, Fujian, People’s Republic of China
| | - Wei Liu
- Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing, People’s Republic of China
| | - Li Han
- Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing, People’s Republic of China
| | - Yue Zhang
- Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing, People’s Republic of China
| | - Siyao Liu
- Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing, People’s Republic of China
| | - Jiali Zhang
- Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing, People’s Republic of China
| | - Beifang Niu
- Computer Network Information Center, Chinese Academy of Sciences, Beijing, People’s Republic of China
- University of the Chinese Academy of Sciences, Beijing, People’s Republic of China
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Lan Z, Yang F, Zhang J, Lan Y, Li H, He R. Diagnostic Value and Challenges of BRAF V600E Molecular Testing and Thyroid Fine-Needle Aspiration Cytology: A Retrospective Study from a Tertiary Institution in Southern Hunan Province, China. Acta Cytol 2023; 67:629-638. [PMID: 37708867 DOI: 10.1159/000534138] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 09/11/2023] [Indexed: 09/16/2023]
Abstract
INTRODUCTION Combined thyroid fine-needle aspiration (FNA) cytology and valine-to-glutamate substitution at codon 600 of B-Raf proto-oncogene, serine/threonine kinase (BRAF V600E) mutation detection are procedures used for diagnosing thyroid nodules in many Chinese tertiary institutions. This retrospective study at our institution aimed to explore the effectiveness and challenges of the combined approach in diagnosing thyroid nodules and the correlation between BRAF V600E mutation status and behavior of papillary thyroid carcinoma. METHODS Thyroid FNA cytology and BRAF V600E mutation detection results were reviewed between November 2020 and July 2022. A total of 623 patients, each of whom underwent thyroidectomy and final pathological examination after FNA cytology diagnosis, were included in the study. The relationship between the BRAF V600E mutational status and pathological parameters was analyzed using the χ2 test. The effectiveness and challenges of FNA cytology alone and the combined procedure were also evaluated based on the final pathology. RESULTS Of 623 patients, 591 were diagnosed with papillary thyroid carcinoma (PTC), of which 456 were positive for the BRAF V600E mutation. It demonstrated near-perfect specificity for identifying PTC, and its incidence rate showed an age-specific curve with an inverted U-shaped distribution. The final pathological examination showed that the combined procedure had a higher sensitivity (83.91%) than FNA cytology alone (63.45%) for distinguishing PTC from other lesions (p < 0.001). Mutational status was associated with a larger maximum tumor diameter (p = 0.003) and a tendency of capsular invasion (p = 0.0542) but possibly unrelated to central lymph node metastasis (p = 0.1846). Nodular goiters accounted for most benign entities initially designated as Bethesda categories III-V. CONCLUSION BRAF V600E mutational analysis complements cytopathology and improves the PTC detection rate in FNA cytology samples due to the high prevalence of the mutation in China. BRAF V600E mutation does not show a statistical correlation with tumor aggressiveness. Morphological pitfalls such as histocyte aggregation, cystic-lining cells in nodular goiters, and oncocytes in Hashimoto's thyroiditis, were overwhelmingly found in BRAF V600E-negative specimens.
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Affiliation(s)
- Zhihua Lan
- Department of Pathology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China,
| | - Fang Yang
- Department of Anorectal Surgery of Traditional Chinese Medicine, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
| | - Jing Zhang
- Department of Pathology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
| | - Ya Lan
- School of Basic Medical Sciences, Henan University of Science and Technology, Luoyang, China
| | - Hongtao Li
- Department of Pathology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
| | - Rongfang He
- Department of Pathology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
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Gong L, Liu Y, Guo X, Wang C, Yan F, Liu J, Hou X, Chen L, Liang K. BRAF p.V600E genetic testing based on ultrasound-guided fine-needle biopsy improves the malignancy rate in thyroid surgery: our single-center experience in the past 10 years. J Cancer Res Clin Oncol 2023; 149:4283-4291. [PMID: 36070149 PMCID: PMC9450831 DOI: 10.1007/s00432-022-04235-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 07/21/2022] [Indexed: 11/10/2022]
Abstract
PURPOSE Ultrasound-guided fine-needle aspiration biopsy (UG-FNAB) was implemented in Qilu Hospital of Shandong University in 2015 as a preoperative diagnostic method for thyroid surgery. BRAF p.V600E genetic testing was implemented in 2019. This study evaluated the impact of these two tests on the malignancy rate in patients undergoing thyroidectomy. METHODS A total of 19,496 patients were included in the study. We retrospectively collected data from patients undergoing thyroid surgery in the Hospital Information System (HIS) of Qilu Hospital of Shandong University from January 2012 to December 2021. Meanwhile, data of FNAB, UG-FNAB, and BRAF p.V600E genetic testing were collected. Differences in means among groups were analyzed via one-way ANOVA, and differences in frequencies were analyzed via Pearson's chi-squared test. RESULTS In this study, the 10-year period was divided into three stages, with the implementation of UG-FNAB in 2015 and that of BRAF p.V600E genetic testing in 2019 as dividing lines. The malignancy rate in thyroid surgery increased significantly during these three stages (48.06% vs. 73.47% vs. 88.17%; P < 0.001). In the same period (May 2019 to December 2021), the malignancy rate in thyroid surgery was significantly different between the Non-FNAB, UG-FNAB, and UG-FNAB-BRAF groups (78.87% vs. 95.63% vs. 98.32%; P < 0.001). CONCLUSIONS The successful implementation of UG-FNAB and BRAF p.V600E genetic testing improved the malignancy rate in thyroid surgery and reduced unnecessary diagnostic surgery for benign and marginal lesions. It can, therefore, provide a clinical reference for other hospitals.
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Affiliation(s)
- Lei Gong
- Department of Endocrinology, Qilu Hospital of Shandong University, Jinan, Shandong China
- Institute of Endocrine and Metabolic Diseases of Shandong University, Jinan, Shandong China
- Key Laboratory of Endocrine and Metabolic Diseases, Shandong Province Medicine & Health, Jinan, Shandong China
- Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, Shandong China
| | - Yan Liu
- Department of Endocrinology, Qilu Hospital of Shandong University, Jinan, Shandong China
- Institute of Endocrine and Metabolic Diseases of Shandong University, Jinan, Shandong China
- Key Laboratory of Endocrine and Metabolic Diseases, Shandong Province Medicine & Health, Jinan, Shandong China
- Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, Shandong China
| | - Xinghong Guo
- Department of Endocrinology, Qilu Hospital of Shandong University, Jinan, Shandong China
- Institute of Endocrine and Metabolic Diseases of Shandong University, Jinan, Shandong China
- Key Laboratory of Endocrine and Metabolic Diseases, Shandong Province Medicine & Health, Jinan, Shandong China
- Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, Shandong China
| | - Chuan Wang
- Department of Endocrinology, Qilu Hospital of Shandong University, Jinan, Shandong China
- Institute of Endocrine and Metabolic Diseases of Shandong University, Jinan, Shandong China
- Key Laboratory of Endocrine and Metabolic Diseases, Shandong Province Medicine & Health, Jinan, Shandong China
- Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, Shandong China
| | - Fei Yan
- Department of Endocrinology, Qilu Hospital of Shandong University, Jinan, Shandong China
- Institute of Endocrine and Metabolic Diseases of Shandong University, Jinan, Shandong China
- Key Laboratory of Endocrine and Metabolic Diseases, Shandong Province Medicine & Health, Jinan, Shandong China
- Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, Shandong China
| | - Jinbo Liu
- Department of Endocrinology, Qilu Hospital of Shandong University, Jinan, Shandong China
- Institute of Endocrine and Metabolic Diseases of Shandong University, Jinan, Shandong China
- Key Laboratory of Endocrine and Metabolic Diseases, Shandong Province Medicine & Health, Jinan, Shandong China
- Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, Shandong China
| | - Xinguo Hou
- Department of Endocrinology, Qilu Hospital of Shandong University, Jinan, Shandong China
- Institute of Endocrine and Metabolic Diseases of Shandong University, Jinan, Shandong China
- Key Laboratory of Endocrine and Metabolic Diseases, Shandong Province Medicine & Health, Jinan, Shandong China
- Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, Shandong China
| | - Li Chen
- Department of Endocrinology, Qilu Hospital of Shandong University, Jinan, Shandong China
- Institute of Endocrine and Metabolic Diseases of Shandong University, Jinan, Shandong China
- Key Laboratory of Endocrine and Metabolic Diseases, Shandong Province Medicine & Health, Jinan, Shandong China
- Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, Shandong China
| | - Kai Liang
- Department of Endocrinology, Qilu Hospital of Shandong University, Jinan, Shandong China
- Institute of Endocrine and Metabolic Diseases of Shandong University, Jinan, Shandong China
- Key Laboratory of Endocrine and Metabolic Diseases, Shandong Province Medicine & Health, Jinan, Shandong China
- Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, Shandong China
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