Multimodal Assessment of Malignancy in Atypia of Undetermined Significance in Thyroid Nodules Using Ultrasound and Cytology Whole-Slide Images

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-80
SponsorSun Yat-Sen Memorial Hospital of Sun Yat-Sen University

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

Qualifiers

(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 design

Treatments tested in this trial

  • Histopathology or cytopathology.

Treatment groups

396 Participants
are divided into 2 treatment groups