To Evaluate Performance of the DLS
Conditions
Brief 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.
Interventions
DIAGNOSTIC_TESTDeep Learning System
The multitask DLS with five algorithms detecting spine metastases and evaluate features (bone lesion quality, posterolateral involvement, and vertebral body collapse)
Sponsors
Shanghai 6th People's Hospital
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
1. pathology-proven diagnosis of solid tumor; 2. spinal CT scan indicating spinal metastasis with at least one lesion; 3. no previous surgery for spinal metastasis
Exclusion criteria
1. spinal CT scans with no sagittal reconstruction; 2. the radiologist considered that the quality of CT image was unqualified.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| AUC | 1 months | Area under the receiver operating characteristic curve (AUC) of spinal instability detection |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| sensitivity | 1 months | sensitivity of spinal instability detection |
| specificity | 1 months | specificity of spinal instability detection |
Countries
China
Outcome results
None listed