Evidence map›Paper›PMID 41026838›Full record

ArticleArchives of endocrinology and metabolism2025

The combined detection of aspiration biopsy, computed tomography and BRAFV600E gene has high diagnostic value for papillary thyroid carcinoma.

Peizhi Fan, Zhaoyi Wu, Zhecheng Li, Huiting Ouyang, Jianing Yi, Jie Yu

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Article in Archives of endocrinology and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Peizhi FanDepartment of Thyroid and Breast Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China.ORCID 0009-0007-0830-4833
Zhaoyi WuDepartment of Thyroid and Breast Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China.ORCID 0009-0001-0406-6352
Zhecheng LiDepartment of General Surgery, Xiangya Hospital, Central South University, Changsha, China.ORCID 0009-0002-2297-6584
Huiting OuyangDepartment of Thyroid and Breast Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China.ORCID 0009-0003-0707-1602
Jianing YiDepartment of Thyroid and Breast Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China.ORCID 0009-0001-8084-8188
Jie YuDepartment of Thyroid and Breast Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China.ORCID 0009-0005-0697-0782

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study investigated the clinical value of ultrasound-guided fine-needle aspiration biopsy (US-FNAB), computed tomography (CT) and BRAFV600E combination for papillary thyroid carcinoma (PTC) diagnosis. SUBJECTS AND

methodsA total of 300 patients with thyroid nodules were assigned to the PTC group (n = 184) and the nodular goiter (NG) group (n = 116). The positive detection rates of US-FNAB, CT and BRAFV600E gene mutation and their relationship with tumor number, tumor diameter, lymphatic metastasis, capsule invasion and tumor-node-metastasis (TNM) staging were analyzed, with their diagnostic value for PTC analyzed by the receiver operating characteristic (ROC) curve. The area under multiple ROC curves (AUCs) were compared using MEDCALC software.

resultsThe positive detection rates of US-FNAB, CT and BRAFV600E gene mutation were 78.80%, 72.28% and 83.15% in the PTC group, and 30.17%, 27.59% and 9.48% in the NG group, while the negative detection rates were 21.20%, 27.72% and 16.85% in the PTC group, and 69.82%, 72.41% and 90.52% in the NG group. Positive US-FNAB and BRAFV600E gene mutation in PTC patients related to TNM staging. Positive CT and BRAFV600E gene mutation linked to lymphatic metastasis. US-FNAB (AUC: 0.743, sensitivity: 78.80%, specificity: 69.83%), CT (AUC: 0.723, sensitivity: 77.28%, specificity: 72.41%) and BRAFV600E (AUC: 0.868, sensitivity: 83.15%, specificity: 90.52%) gene detections helped PTC diagnosis, with their combined diagnostic value (AUC: 0.938, sensitivity: 78.26%, specificity: 96.55%) surpassing that of them alone.

conclusionUS-FNAB, CT and BRAFV600E gene tests helped PTC diagnosis, and their combined detection had higher diagnostic value for PTC than their single detection.

Indexed as

Proto-Oncogene Proteins B-rafThyroid Cancer, PapillaryThyroid NeoplasmsAdultAgedBiopsy, Fine-NeedleCarcinoma, PapillaryFemaleGoiter, NodularHumansLymphatic MetastasisMaleMiddle AgedMutationRetrospective StudiesROC CurveBRAF protein, humanProto-Oncogene Proteins B-rafBRAFV600E gene testcomputed tomographypapillary thyroid carcinomapathological tissue typeUltrasound-guided fine-needle aspiration biopsy

Identifiers

PMID41026838
PMCPMC12483353

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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.