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Prediction of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma Based on Ultrasound and Cytological Images

An Interpretable Multimodal Model Based on Cytology Ultrasound Noninvasively Predicts Lymph Node Metastasis in cN0 Papillary Thyroid Cancer

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06399159
Enrollment
1500
Registered
2024-05-03
Start date
2023-09-01
Completion date
2024-04-01
Last updated
2024-05-22

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

Conditions

Lymph Node Metastasis, Papillary Thyroid Carcinoma

Keywords

ultrasound, deep learning, cytology

Brief summary

Rising thyroid carcinoma rates, with papillary thyroid carcinoma (PTC) as the main type (85-90% of cases), often show early cervical lymph node spread. This increases the risk of PTC patients for recurrence and death. A new study's multimodal model fuses preoperative US and cytology images to better predict lymph node metastasis, aiming to improve treatment plans, reduce unnecessary surgeries, and enhance patient outcomes.

Detailed description

Thyroid carcinoma incidence has been on the rise in recent years. Papillary thyroid carcinoma is the most prevalent type of differentiated thyroid carcinoma, accounting for 85% to 90% of malignant thyroid tumors. Despite its indolent nature, cervical lymph node metastasis is frequently observed at an early stage. Papillary thyroid carcinoma patients with cervical lymph node metastasis face an elevated risk of recurrence, distant metastasis, and mortality. Thus, non-invasive preoperative prediction of cervical lymph node metastasis is particularly vital for guiding treatment plans and prognostic. this study has developed a multimodal model integrating preoperative US images with cytological images of papillary thyroid carcinoma patients. The aim is to enhance the predictive accuracy for cervical lymph node metastasis, reduce unnecessary lymph node dissections, and provide real-time, precise guidance for determining the extent of surgical resection and prognostic assessment. This approach aims to optimize patient treatment strategies and enhance therapeutic outcomes.

Interventions

PROCEDUREThyroidectomy and lymph node dissection

All surgical specimens of thyroidectomy and lymph node dissection were subjected to paraffin-embedded histopathological examination, and postoperative were categorized as with cervical lymph node metastasis and without cervical lymph node metastasis.

Sponsors

Nanchong Central Hospital
Lead SponsorOTHER_GOV

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years

Inclusion criteria

* Underwent thyroidectomy and bilateral lymph node dissection with pathological confirmation of PTC * Completed US examination within one week before surgery * Underwent preoperative us-guided FNAC * Completed cytological images at 400× magnification under a microscope

Exclusion criteria

* Patients who underwent only unilateral thyroidectomy * Patients with cervical lymph nodes shown on preoperative ultrasound

Design outcomes

Primary

MeasureTime frameDescription
Presence or absence of lymph node metastasisOctober 2024All surgical specimens were subjected to paraffin-embedded histopathological examination,depending on the pathological findings, it is classified as the presence or absence of lymph node metastases.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026