MedTrace Logo

Validation of a Multitask Deep Learning System at Spine Metastasis CT

NCT05156567 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 280

Last updated 2024-09-19

No results posted yet for this study

Summary

15 resident oncologists were conducted to evaluate the clinical efficacy of DLS in multicenter. They were 1:1 randomly asked to independently read the test images without the assistance of DLS software or with the assistance. Area under the receiver operating characteristic curve (AUC), sensitivity, and specificity of the DLS were calculated with professional graders as the reference standard.

Conditions

  • To Evaluate Performance of the DLS

Interventions

DIAGNOSTIC_TEST

Deep Learning System

The multitask DLS with five algorithms detecting spine metastases and evaluate features (bone lesion quality, posterolateral involvement, and vertebral body collapse)

Sponsors & Collaborators

  • Shanghai 6th People's Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-03-01
Primary Completion
2023-12-31
Completion
2024-06-01

Countries

  • China

Study Locations

More Related Trials

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 NCT05156567 on ClinicalTrials.gov