Diagnostic value of a dynamic artificial intelligence-based, ultrasound-assisted diagnostic system in differentiating between benign and malignant thyroid nodules with a diameter greater than 2 cm.

ABSTRACT:

Background

In the diagnosis of larger thyroid nodules, the internal structure of the nodules and the surrounding tissues are more complex, making the nodule characteristics atypical. The tissue structure may interfere with the ultrasound examination, increasing the risk of misdiagnosis or missed diagnosis. Meanwhile, the uneven distribution of malignant tissues in large nodules or the tendency of large nodules to undergo necrosis and liquefaction due to their size can lead to a higher false-negative rate in fine needle aspiration cytology (FNAC). This study aimed to evaluate the clinical utility of a dynamic artificial intelligence (AI)-based, ultrasound-assisted diagnostic system in differentiating between benign and malignant thyroid nodules with a diameter >2 cm, and its guiding

SUBMITTER: Wang B 

PROVIDER: S-EPMC12514684 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature