인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 저자정보
초록·키워드
Thyroid nodules are the most common endocrine tumor. Ultrasonography and fine-needle aspiration (FNA) are currently accurate diagnostic tools for evaluating thyroid nodules. However, 10-30% of FNA specimens are cytologically indeterminate. Making an accurate diagnosis between benign and malignant nodules is important so that patients with malignant nodule receive proper treatment and patients with benign nodule can avoid unnecessary treatment. Several genetic changes such as point mutations of the BRAF or RAS and rearrangements of the RET/PTC1, RET/PTC3, PAX8/PPARY are used to adjust to indeterminate FNA. Such a mutational analysis has an excellent positive predictive value (PPV), but there is a weakness in the low negative predictive value (NPV). Gene-expression classifier (GEC) has been found helpful in identify nodules that are benign rather than malignant. GEC has an excellent NPV, but there is a weakness of low PPV. Multiplatform mutational and miRNA test (MPT) and next-generation sequencing assay (NGS) are being studied to compensate for these weaknesses. Molecular tests appear to be a good solution for improving the accuracy of indeterminate FNA cytology specimens and support the clinical management decisions in patients with indeterminate cytologic nodules, but further prospective multicenter trials are required for validation of reported findings and need evaluation of cost-effectiveness. This paper will review recently available molecular diagnostic tools of thyroid nodule.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.