Validation of a Multitask Deep Learning System at Spine Metastasis CT

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

280 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-03-01

Study Completion Date

2024-06-01

Brief Summary

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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.

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Detailed Description

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Conditions

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To Evaluate Performance of the DLS

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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routine physicians

No interventions assigned to this group

DLS

Deep Learning System

Intervention Type DIAGNOSTIC_TEST

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

Interventions

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Deep Learning System

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

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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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