Head & neck · 2026
Computer-Aided Diagnosis in the Evaluation of Thyroid Nodules: A Study of Intra- And Inter-Rater Reliability and Agreement.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Piber Leonardo de Souza, Nakano Luis Carlos Uta, Flumignan Carolina Dutra Queiroz, Flumignan Ronald Luiz Gomes
Аннотация
OBJECTIVE: To evaluate the intra- and inter-rater reliability of a computer-aided diagnosis system applied to thyroid nodule assessment.
METHODS: This prospective, single-center study included 150 thyroid nodules evaluated by two physicians at two time points, 90 days apart. Analyses were performed using the AmCAD-UT system, focusing on morphological features and ACR TI-RADS classification. Cohen's kappa coefficient and percentage agreement were used to assess reliability.
RESULTS: Intra-rater reliability ranged from moderate to almost perfect, with kappa values from 0.49 (95% CI: 0.31-0.66) to 0.98 (95% CI: 0.96-1.00), and agreement rates from 81.3% to 99.3%. Rater 2 demonstrated higher reproducibility across most variables, particularly for "texture" (k = 0.98), "margin" (k = 0.90), "composition" (k = 0.93), and "taller-than-wide" (k = 0.92). Inter-rater agreement was more variable, with kappa values ranging from 0.43 (95% CI: 0.23-0.62) to 0.96 (95% CI: 0.89-1.00), and agreement percentages from 78.0% to 99.3%. The lowest inter-rater reproducibility was observed for "shape".
CONCLUSION: The computer-aided diagnosis system demonstrated predominantly moderate to almost perfect intra-rater reliability and moderate to strong inter-rater agreement across most evaluated features. The highest reproducibility was observed for "taller-than-wide," "texture," and "composition," whereas "shape" consistently showed lower agreement. These findings support the system's role as a reliable adjunct for standardizing thyroid nodule assessment, although its performance remains partially influenced by operational factors and warrants further multicenter validation.
METHODS: This prospective, single-center study included 150 thyroid nodules evaluated by two physicians at two time points, 90 days apart. Analyses were performed using the AmCAD-UT system, focusing on morphological features and ACR TI-RADS classification. Cohen's kappa coefficient and percentage agreement were used to assess reliability.
RESULTS: Intra-rater reliability ranged from moderate to almost perfect, with kappa values from 0.49 (95% CI: 0.31-0.66) to 0.98 (95% CI: 0.96-1.00), and agreement rates from 81.3% to 99.3%. Rater 2 demonstrated higher reproducibility across most variables, particularly for "texture" (k = 0.98), "margin" (k = 0.90), "composition" (k = 0.93), and "taller-than-wide" (k = 0.92). Inter-rater agreement was more variable, with kappa values ranging from 0.43 (95% CI: 0.23-0.62) to 0.96 (95% CI: 0.89-1.00), and agreement percentages from 78.0% to 99.3%. The lowest inter-rater reproducibility was observed for "shape".
CONCLUSION: The computer-aided diagnosis system demonstrated predominantly moderate to almost perfect intra-rater reliability and moderate to strong inter-rater agreement across most evaluated features. The highest reproducibility was observed for "taller-than-wide," "texture," and "composition," whereas "shape" consistently showed lower agreement. These findings support the system's role as a reliable adjunct for standardizing thyroid nodule assessment, although its performance remains partially influenced by operational factors and warrants further multicenter validation.