NCT05156567

Validation of a Multitask Deep Learning System at Spine Metastasis CT

Multicenter Validation of a Multitask Deep Learning System for Spine Metastases Detection Andfeatures Evaluations at Spine Metastasis CT

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 280 (actual)
• Sponsor: Shanghai 6th People's Hospital · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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

Type	Name	Description
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)

Timeline

• Start date: 2022-03-01
• Primary completion: 2023-12-31
• Completion: 2024-06-01
• First posted: 2021-12-14
• Last updated: 2024-09-19

Locations

1 site across 1 country: China