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Outcome Prediction of Iodine-131 Therapy for Graves' Disease Based on a Multimodal Artificial Intelligence Model

Thyroid heterogeneity and radioiodine (¹³¹I) efficacy in Graves' disease: an individualized validation

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600128237
Enrollment
Unknown
Registered
2026-07-16
Start date
2026-07-16
Completion date
Unknown
Last updated
2026-07-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Graves disease

Interventions

Efficacy Prediction Model Cohort:None
Image-Pathology Feature Extraction Cohort:None

Sponsors

West China Hospital of Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Image-Pathology Feature Extraction Cohort 1. Patients definitively diagnosed with GD based on clinical and laboratory examinations; 2. Patients who underwent a thyroidectomy, with complete thyroid tissue pathological specimens obtained postoperatively; 3. Patients who completed both thyroid ultrasound and radionuclide imaging within one week prior to surgery; 4. Control group requirements: Patients pathologically diagnosed with thyroid microcarcinoma (nodule diameter < 1 cm) coexisting with Hashimoto's thyroiditis, who completed both ultrasound and radionuclide imaging within one week prior to surgery. Efficacy Prediction Model Cohort 1. GD patients are explicitly diagnosed in accordance with the 131I Guidelines for the Treatment of Graves disease(2021 edition) of the Nuclear Medicine Branch of the Chinese Medical Association; 2. GD patients who have received Iodine-131 therapy at the study center.

Exclusion criteria

Exclusion criteria: Image-Pathology Feature Extraction Cohort 1. Patients with missing pathological specimens, inadequate tissue fixation, or poor staining quality that preclude immunohistochemical (IHC) analysis and cell count assessment; 2. Patinets with incomplete imaging, poor image quality, or artifacts that prevent standardized Region of Interest (ROI) extraction or quantitative analysis. Efficacy Prediction Model Cohort 1. Patients with missing or incomplete imaging data, including the absence of pre-treatment ultrasound or radionuclide imaging, or cases where the time interval between the imaging examination and Iodine-131 therapy exceeds the predefined window, rendering the images unrepresentative of the pre-treatment baseline status; 2. Patients who are lost to follow-up or have incomplete follow-up data, including failure to complete the standardized follow-up assessment for thyroid heterogeneity at 3 to 6 months post-treatment.

Design outcomes

Primary

MeasureTime frame
thyroid fuction;Percentage of positive cells;Staining intensity;

Countries

China

Contacts

Public ContactBin Liu

West China Hospital of Sichuan University

binl@foxmail.com+86 28 8542 2400

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jul 23, 2026