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Ultrasound Radiomics for Predicting Breast Cancer and Axillary Lymph Node Metastasis

NCT05768451 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2023-03-14

No results posted yet for this study

Summary

The project is proposed based on multimodal ultrasonic imaging omics building used for accurate prediction of the breast cancer and axillary lymph node metastasis load artificial intelligence forecasting model, this method can dig the hidden features of ultrasonic image is not visible to the naked eye, make up the subjectivity in the process of clinical doctors in diagnosis and treatment, provide accurate, objective basis for clinical decision making.

Conditions

Interventions

OTHER

Ultrasonic image analysis

Preoperative conventional ultrasound (US), elastic ultrasound (UE) and contrast-enhanced ultrasound (CEUS) images were analyzed. Histopathological results were used as the gold standard. The cases were randomly divided into training set and test set with a ratio of 7:3. The US image, UE image and CEUS image of the maximum long-axis section of each lesion were selected, and the region of interest (ROI) of the lesion was manually delineated.

Sponsors & Collaborators

  • The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
90 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-04-01
Primary Completion
2024-12-31
Completion
2025-08-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05768451 on ClinicalTrials.gov