Generate Quantitative Computed Tomography-Equivalent Computed Tomography Image Interpretation Reports in Patients...

Area of Science:

• Radiology
• Artificial Intelligence in Medicine
• Osteoporosis Diagnostics

Background:

• Quantitative computed tomography (QCT) is crucial for osteoporosis assessment and spinal deformity monitoring.
• Clari-QCT is an AI-powered software designed to generate QCT-equivalent reports from conventional CT scans.
• This study validates Clari-QCT as a diagnostic tool for spinal deformities.

Purpose of the Study:

• To evaluate the effectiveness of Clari-QCT by comparing its QCT-equivalent reports with traditional QCT measurements.
• To assess the accuracy of Clari-QCT in patients with varying degrees of spinal deformities.
• To validate Clari-QCT as a potential tool for bone health monitoring.

Main Methods:

• Analysis of dual energy X-ray absorptiometry, CT, and QCT data from 18 patients.
• Evaluation of Clari-QCT's ability to generate bone mineral density (BMD), T-score, and Z-score from abdomen CT images.
• Intraclass correlation coefficient (ICC) analysis to measure agreement between actual and predicted BMD values.

Main Results:

• Clari-QCT showed an average BMD of 122.5 g/cm³ compared to 94.7 g/cm³ by QCT.
• T-score discrepancies ranged from 0.16 to 6.86.
• ICC analysis indicated moderate to high agreement between Clari-QCT and QCT (ICC values from 0.597 to 0.895).

Conclusions:

• Clari-QCT demonstrates good agreement with QCT in normal and severe spinal deformity groups.
• Accuracy of Clari-QCT is reduced in patients with mild spinal deformities.
• Addressing current limitations could establish Clari-QCT as a valuable tool for monitoring bone health in spinal deformity patients.