Performance of the Bethesda System for Reporting Thyroid Cytology in Multi-Institutional Large Cohort of Pediatric Thyroid Nodules: A Detailed Analysis.
Sule CanberkHelena BarrocaInês GirãoOzlem AydınAysun UguzKıvılcım ErdoganEbru TastekinMassimo BongiovanniPaula SoaresValdemar MáximoFernando C. SchmittPublished in: Diagnostics (Basel, Switzerland) (2022)
To evaluate the performance of TBSRTC through multi-institutional experience in the paediatric population and questioning the management recommendation of ATA Guidelines Task Force on Paediatric Thyroid Cancer; Methods: A retrospective search was conducted in 4 institutions to identify consecutive thyroid FNAC cases in paediatric population between 2000 and 2018. Following the 2nd TBSRTC, the risk of malignancy ratios (ROMs) was given in ranges and calculated by 2 different ways. Sensitivity, specificity, PPV, NPV and DA ratios were calculated using histologic diagnosis as the gold standard; Results: Among a total of 405 specimens, the distribution of cases for each category was, 44 (11%) for ND, 204 (50%) for B category, 40 (10%) for AUS/FLUS, 36 (9%) for FN/SFN, 24 (6%) for SFM and 57 (14%) for M categories. 153 cases have a histological diagnosis. The ratio of surgery was 23% in ND, 16% in the B, 45% for AUS/FLUS, 75% for SFN/FN and 92% for SFM and 75% in M categories; Conclusions: The data underlines the high ROM values in paediatric population which might be clinically meaningful. The high rate of malignancy of the cohort of operated patients (50%) also underlines the need of better preoperative indicators for stratification. Considering that more than half of the nodules in AUS/FLUS category were benign, direct surgery recommendation could be questionable as proposed in ATA 2015 guidelines.
Keyphrases
- intensive care unit
- emergency department
- minimally invasive
- end stage renal disease
- fine needle aspiration
- coronary artery bypass
- chronic kidney disease
- clinical practice
- peritoneal dialysis
- machine learning
- surgical site infection
- high grade
- patients undergoing
- electronic health record
- big data
- adverse drug
- acute coronary syndrome