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Completed

NCT Number: NCT06498674

AI-Assisted Ultrasound Review Before Thyroid Surgery

This prospective, single-center, single-arm study evaluates a locked artificial intelligence (AI) system as a surgeon-led second-read tool before thyroid surgery. Eligible participants scheduled for thyroid surgery undergo standard ultrasonography followed by a standardized AI-assisted repeat examination. The AI system evaluates thyroid nodules only; cervical lymph nodes are assessed by clinicians. The study assesses participant-level supplementary pathological examinations and treatment-decision changes and evaluates nodule-level diagnostic performance against final surgical histopathology.

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Key information

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Fujian Medical University Union Hospital

Fuzhou, Fujian, 350001, China

About this study

This prospective, single-center, single-arm study evaluates a locked AI-assisted ultrasound system used during surgeon-led preoperative review in participants scheduled for thyroid surgery. Each participant undergoes standard preoperative ultrasonography followed by a standardized AI-assisted repeat examination. The locked system provides thyroid-nodule malignancy scores and classifications; it was not retrained or recalibrated during the study and did not assess cervical lymph nodes. Clinicians integrate standard ultrasound, cytology, clinical findings, and other information and retain responsibility for all supplementary examinations and final management decisions. The two primary outcomes are participant-level: (1) whether a participant undergoes an additional cytologic or pathologic examination and (2) whether a participant has at least one change in planned surgical management. Participants are counted once within each outcome, while event counts may be summarized separately. The embedded diagnostic analysis is nodule-level and uses unambiguously pathology-matched surgical histopathology as the reference standard. Only nodules with a definitive benign or malignant surgical histopathological diagnosis are included in binary diagnostic-performance calculations. Low-risk or borderline thyroid neoplasms, including follicular tumors of uncertain malignant potential (FT-UMP), well-differentiated tumors of uncertain malignant potential (WDT-UMP), and non-invasive follicular thyroid neoplasms with papillary-like nuclear features (NIFTP), and nodules without unambiguous lesion-level linkage are excluded from binary reference-standard analyses. These post-enrollment analysis exclusions do not alter the 515-participant actual enrollment or the participant-level workflow cohort. A participant may contribute another eligible nodule if that lesion has an unambiguous definitive diagnosis. Cervical lymph-node pathology is described only for nodes actually removed or sampled; no reference diagnosis is assigned to unsampled nodes.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Patients with preoperative pathological confirmation of thyroid malignant tumors undergoing surgical treatment.
  • Patients with benign thyroid tumors, such as thyroid adenomas causing compressive symptoms, undergoing surgical treatment.
  • Patients with complete and high-quality traditional two-dimensional color ultrasound images.
  • Complete postoperative pathology reports.
  • Willingness to participate in this clinical trial and signing of informed consent.

Exclusion criteria

  • Patients with a history of neck surgery or radiotherapy.
  • Patients with a history of malignant tumors in other parts of the body.
  • Patients with thyroid dysfunction.
  • Incomplete or poor-quality traditional two-dimensional color ultrasound images.
  • Incomplete postoperative pathology reports.
  • Refusal to participate in this clinical trial.

Treatment and study plan

Locked AI-Assisted Thyroid Ultrasound Repeat Examination and Review

Diagnostic Test

After standard preoperative ultrasonography, the same participant underwent a standardized AI-assisted repeat examination. The locked system identified and classified thyroid nodules and provided malignancy-score information for surgeon-led review. It did not assess cervical lymph nodes and was not retrained or recalibrated during the study. Additional fine-needle aspiration, intraoperative pathologic examination, and surgical management were determined by clinicians using the complete clinical assessment.

Primary outcomes

  1. Proportion of Participants Undergoing Supplementary Cytologic or Pathologic Examination

    Time frame: From completion of the AI-assisted repeat examination through completion of surgery

    Number and proportion of enrolled participants who underwent at least one additional cytologic or pathologic examination, such as fine-needle aspiration or intraoperative frozen-section examination, after completion of conventional ultrasonography and AI-assisted review and before completion of surgery. Each participant is counted once regardless of the number of examinations. The decision remained clinician led; cervical lymph-node examinations were outside the AI system's task.

  2. Proportion of Participants With a Change in Planned Surgical Management

    Time frame: From completion of the AI-assisted review through surgery

    Number and proportion of enrolled participants with at least one documented change in the surgeon-led planned surgical approach or extent after conventional ultrasonography, AI-assisted review, and any supplementary pathological examination, when performed. Changes may involve thyroid resection or cervical lymph-node management. Each participant is counted once regardless of the number of changes. The AI system provided thyroid-nodule information only and did not assess cervical lymph nodes.

Secondary outcomes

  1. Distribution of C-TIRADS Categories Among Evaluated Thyroid Nodules

    Time frame: During standard preoperative ultrasonography, before the AI-assisted repeat examination

    Number and percentage of evaluated thyroid nodules in each clinician-assigned C-TIRADS category during conventional ultrasonography. Nodule size, composition, echogenicity, margins, calcifications, and clinician-assessed cervical lymph-node findings were recorded as descriptive covariates and were not treated as separate outcome measures.

  2. Proportion of Evaluated Thyroid Nodules Classified as AI-Positive

    Time frame: During the preoperative AI-assisted repeat examination, before surgery

    Number and percentage of evaluated thyroid nodules with a locked AI malignancy score >0.5. The AI system evaluated thyroid nodules only and did not assess cervical lymph nodes.

  3. Results of Supplementary Cytologic or Pathologic Examinations

    Time frame: From supplementary sampling to availability of the corresponding result, before or during surgery

    Among participants who underwent at least one additional cytologic or pathologic examination, record the cytologic or histopathologic result for each sampled thyroid nodule or cervical lymph node. Results are summarized at the examination level as nonmalignant, indeterminate, malignant, or metastatic, as applicable.

  4. Final Histopathological Diagnosis of Resected Thyroid Nodules

    Time frame: From surgery until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.

    For each resected thyroid nodule linked unambiguously to the evaluated lesion, record the final diagnosis as benign, malignant, follicular tumor of uncertain malignant potential (FT-UMP), well-differentiated tumor of uncertain malignant potential (WDT-UMP), non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP), or another borderline diagnosis.

  5. Nodule-Level Sensitivity of AI and C-TIRADS

    Time frame: From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.

    Using definitive postoperative histopathology as the reference standard, sensitivity is TP/(TP + FN), expressed as a percentage, for the locked AI classification (positive if score >0.5) and conventional C-TIRADS (positive if category 4a or higher). Include only pathology-matched nodules with an unambiguous lesion-level link and a definitive benign or malignant diagnosis. Exclude FT-UMP, WDT-UMP, NIFTP, other borderline diagnoses, and nodules without unambiguous lesion-level linkage. These lesion-level exclusions do not alter the 515-participant workflow cohort.

  6. Nodule-Level False-Negative Rate of AI and C-TIRADS

    Time frame: From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.

    For each method, the false-negative rate is FN/(TP + FN), expressed as a percentage, among definitively malignant thyroid nodules. AI positivity is defined as score >0.5; conventional ultrasound positivity is C-TIRADS category 4a or higher. Include only pathology-matched nodules with an unambiguous lesion-level link and a definitive benign or malignant diagnosis. Exclude FT-UMP, WDT-UMP, NIFTP, other borderline diagnoses, and nodules without unambiguous lesion-level linkage.

  7. Nodule-Level Positive Predictive Value of AI and C-TIRADS

    Time frame: From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.

    For each method, positive predictive value is TP/(TP + FP), expressed as a percentage, among thyroid nodules classified as positive. AI positivity is defined as score >0.5; conventional ultrasound positivity is C-TIRADS category 4a or higher. Include only pathology-matched nodules with an unambiguous lesion-level link and a definitive benign or malignant diagnosis. Exclude FT-UMP, WDT-UMP, NIFTP, other borderline diagnoses, and nodules without unambiguous lesion-level linkage.

  8. Nodule-Level Youden Index of AI and C-TIRADS

    Time frame: From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.

    For each method, the Youden index is sensitivity + specificity - 1 using fixed binary thresholds. AI positivity is defined as score >0.5; conventional ultrasound positivity is C-TIRADS category 4a or higher. Include only pathology-matched nodules with an unambiguous lesion-level link and a definitive benign or malignant diagnosis. Exclude FT-UMP, WDT-UMP, NIFTP, other borderline diagnoses, and nodules without unambiguous lesion-level linkage.

  9. Distribution of Cervical Lymph-Node Metastasis Status Among Pathologically Examined Nodes

    Time frame: From surgery or supplementary sampling until the corresponding pathology result became available; assessed through October 15, 2025, over the approximately 14-month study period.

    Among cervical lymph nodes actually removed or sampled and pathologically examined, record the number and percentage with and without metastasis. No pathologic reference diagnosis is assigned to unsampled lymph nodes.

  10. Nodule-Level Specificity of AI and C-TIRADS

    Time frame: From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.

    Using definitive postoperative histopathology as the reference standard, specificity is TN/(TN + FP), expressed as a percentage, for the locked AI classification (positive if score >0.5) and conventional C-TIRADS (positive if category 4a or higher). Include only pathology-matched nodules with an unambiguous lesion-level link and a definitive benign or malignant diagnosis. Exclude FT-UMP, WDT-UMP, NIFTP, other borderline diagnoses, and nodules without unambiguous lesion-level linkage.

  11. Nodule-Level Negative Predictive Value of AI and C-TIRADS

    Time frame: From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.

    Using definitive postoperative histopathology as the reference standard, negative predictive value is TN/(TN + FN), expressed as a percentage, for the locked AI classification (positive if score >0.5) and conventional C-TIRADS (positive if category 4a or higher). Include only pathology-matched nodules with an unambiguous lesion-level link and a definitive benign or malignant diagnosis. Exclude FT-UMP, WDT-UMP, NIFTP, other borderline diagnoses, and nodules without unambiguous lesion-level linkage.

  12. Nodule-Level Accuracy of AI and C-TIRADS

    Time frame: From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.

    Using definitive postoperative histopathology as the reference standard, accuracy is (TP + TN)/(TP + TN + FP + FN), expressed as a percentage, for the locked AI classification (positive if score >0.5) and conventional C-TIRADS (positive if category 4a or higher). Include only pathology-matched nodules with an unambiguous lesion-level link and a definitive benign or malignant diagnosis. Exclude FT-UMP, WDT-UMP, NIFTP, other borderline diagnoses, and nodules without unambiguous lesion-level linkage.

  13. Area Under the ROC Curve for the Continuous AI Malignancy Score

    Time frame: From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.

    Using definitive postoperative histopathology as the reference standard, calculate the area under the receiver operating characteristic curve for the continuous locked AI malignancy score. Include only pathology-matched nodules with an unambiguous lesion-level link and a definitive benign or malignant diagnosis. Exclude FT-UMP, WDT-UMP, NIFTP, other borderline diagnoses, and nodules without unambiguous lesion-level linkage. No AUC is calculated for the single-threshold C-TIRADS classification.

Sponsors and collaborators

Lead sponsor

Fujian Medical University

Other

Registry information

Official study title

Clinical Application of AI-assisted Ultrasound Technology in the Preoperative Evaluation of Thyroid Cancer

Important dates

Study start
2024
Primary completion
2025
Study completion
2025
First posted
Jul 12, 2024
Registry last updated
Aug 7, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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