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29 February 2020 : Clinical Research  

Assessment of Acute Pulmonary Embolism by Computer-Aided Technique: A Reliability Study

Zhen-Ting Sun1BCEFG, Fen-E Hao1BCEFG, You-Min Guo2CFG, Ai-Shi Liu1ACD, Lei Zhao1ADFG*

DOI: 10.12659/MSM.920239

Med Sci Monit 2020; 26:e920239

Abstract

BACKGROUND: Acute pulmonary embolism is one of the most common cardiovascular diseases. Computer-aided technique is widely used in chest imaging, especially for assessing pulmonary embolism. The reliability and quantitative analyses of computer-aided technique are necessary. This study aimed to evaluate the reliability of geometry-based computer-aided detection and quantification for emboli morphology and severity of acute pulmonary embolism.

MATERIAL AND METHODS: Thirty patients suspected of acute pulmonary embolism were analyzed by both manual and computer-aided interpretation of vascular obstruction index and computer-aided measurements of emboli quantitative parameters. The reliability of Qanadli and Mastora scores was analyzed using computer-aided and manual interpretation.

RESULTS: The time costs of manual and computer-aided interpretation were statistically different (374.90±150.16 versus 121.07±51.76, P<0.001). The difference between the computer-aided and manual interpretation of Qanadli score was 1.83±2.19, and 96.7% (29 out of 30) of the measurements were within 95% confidence interval (intraclass correlation coefficient, ICC=0.998). The difference between the computer-aided and manual interpretation of Mastora score was 1.46±1.62, and 96.7% (29 out of 30) of the measurements were within 95% confidence interval (ICC=0.997). The emboli quantitative parameters were moderately correlated with the Qanadli and Mastora scores (all P<0.001).

CONCLUSIONS: Computer-aided technique could reduce the time costs, improve the and reliability of vascular obstruction index and provided additional quantitative parameters for disease assessment.

Keywords: Angiography, Pulmonary Embolism, Tomography, X-Ray Computed, Cost-Benefit Analysis, Diagnosis, Computer-Assisted, Dimensional Measurement Accuracy, Embolism, Image Processing, Computer-Assisted, Middle Aged, Pulmonary Artery, Reproducibility of Results, Severity of Illness Index

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Science Editor, Medical Science Monitor, International Scientific Information, Inc., Melville, NY, USA

DOI: 10.12659/MSM.941209

Med Sci Monit 2023; 29:e941209

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750