About this trial
The prospective study aim to develop a multimodal deep learning model that integrates ultrasound images and cytological whole-slide images for more accurate malignant risk prediction of Bethesda III thyroid nodules.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
(a) Patients who underwent fine-needle aspiration of thyroid nodules and received a cytological diagnosis of Bethesda Ⅲ.
(b) Patients who subsequently underwent thyroid surgery with a definitive histopathological diagnosis of benign or malignant lesions,.
(c) Availability of at least one ultrasound image acquired prior to surgery.
Disqualifiers
(a) Patients without confirmation by surgical pathology,.
(b) Patients without any available or usable ultrasound images.
Trial population
Patients with a Bethesda Ⅲ thyroid nodule
Trial design
Cohort
Prospective
Treatments tested in this trial
Histopathology or cytopathology.
Other interventionThis is a observation stufy.
Treatment groups
Trial outcomes
Primary outcomes
Pathological diagnosis.
WHO guidelines.
Sponsors and contacts
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