2021 Korean Thyroid Imaging Reporting and Data System and Imaging-Based Management of Thyroid Nodules: Korean Society of Thyroid Radiology Consensus Statement and Recommendations.
Eun Ju HaSo Yeong JeongDong Gyu NaHye Shin AhnJin ChungJi Ye LeeJeong Seon ParkRoh-Eul YooJung-Hwan BaekSeon Mi BaekSeong Whi ChoYoon Jung ChoiSoo Yeon HahnSo-Lyung JungJi Hoon KimSeul Kee KimSoo Jin KimChang Yoon LeeHo Kyu LeeJeong Hyun LeeYoung Hen LeeHyun Kyung LimJung Hee ShinJung Suk SimJin Young SungJung Hyun YoonMiyoung ChoiPublished in: Korean journal of radiology (2021)
Incidental thyroid nodules are commonly detected on ultrasonography (US). This has contributed to the rapidly rising incidence of low-risk papillary thyroid carcinoma over the last 20 years. The appropriate diagnosis and management of these patients is based on the risk factors related to the patients as well as the thyroid nodules. The Korean Society of Thyroid Radiology (KSThR) published consensus recommendations for US-based management of thyroid nodules in 2011 and revised them in 2016. These guidelines have been used as the standard guidelines in Korea. However, recent advances in the diagnosis and management of thyroid nodules have necessitated the revision of the original recommendations. The task force of the KSThR has revised the Korean Thyroid Imaging Reporting and Data System and recommendations for US lexicon, biopsy criteria, US criteria of extrathyroidal extension, optimal thyroid computed tomography protocol, and US follow-up of thyroid nodules before and after biopsy. The biopsy criteria were revised to reduce unnecessary biopsies for benign nodules while maintaining an appropriate sensitivity for the detection of malignant tumors in small (1-2 cm) thyroid nodules. The goal of these recommendations is to provide the optimal scientific evidence and expert opinion consensus regarding US-based diagnosis and management of thyroid nodules.
Keyphrases
- clinical practice
- end stage renal disease
- computed tomography
- ejection fraction
- high resolution
- newly diagnosed
- chronic kidney disease
- ultrasound guided
- randomized controlled trial
- magnetic resonance imaging
- peritoneal dialysis
- artificial intelligence
- prognostic factors
- machine learning
- squamous cell carcinoma
- big data
- lymph node
- systematic review
- risk factors
- fine needle aspiration
- adverse drug
- patient reported outcomes
- pet ct
- sensitive detection
- patient reported
- label free
- meta analyses