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

This trial does not accept healthy volunteers

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 population

Patients with a Bethesda Ⅲ thyroid nodule

Trial design

Design model

Cohort

Time perspective

Prospective

Treatments tested in this trial

  • Histopathology or cytopathology.

    Other intervention

    This is a observation stufy.

Treatment groups

396 Participants
are divided into 2 treatment groups
Group A: Benign thyroid nodule1 intervention
Group B: Malignant thyroid nodule1 intervention

Trial outcomes

Primary outcomes

1

Pathological diagnosis.

WHO guidelines.

Time frame
One month after the surgery.

Secondary outcomes

Other outcomes

Sponsors and contacts

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