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Right Ventricular Mass Quantification Using Cardiac CT and a Semiautomatic Three-Dimensional Hybrid Segmentation Approach: A Pilot Study

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Abstract
Objective: To evaluate the technical applicability of a semiautomatic three-dimensional (3D) hybrid CT segmentation method for the quantification of right ventricular mass in patients with cardiovascular disease.

Materials and Methods: Cardiac CT (270 cardiac phases) was used to quantify right ventricular mass using a semiautomatic 3D hybrid segmentation method in 195 patients with cardiovascular disease. Data from 270 cardiac phases were divided into subgroups based on the extent of the segmentation error (no error; <= 10% error; > 10% error [technical failure]), defined as discontinuous areas in the right ventricular myocardium. The reproducibility of the right ventricular mass quantification was assessed. In patients with no error or < 10% error, the right ventricular mass was compared and correlated between paired end-systolic and end-diastolic data. The error rate and right ventricular mass were compared based on right ventricular hypertrophy groups.

Results: The quantification of right ventricular mass was technically applicable in 96.3% (260/270) of CT data, with no error in 54.4% (147/270) and <= 10% error in 41.9% (113/270) of cases. Technical failure was observed in 3.7% (10/270) of cases. The reproducibility of the quantification was high (intraclass correlation coefficient = 0.999, p < 0.001). The indexed mass was significantly greater at end-systole than at end-diastole (45.9 +/- 22.1 g/m(2) vs. 39.7 +/- 20.2 g/m(2), p < 0.001), and paired values were highly correlated (r = 0.96, p < 0.001). Fewer errors were observed in severe right ventricular hypertrophy and at the end-systolic phase. The indexed right ventricular mass was significantly higher in severe right ventricular hypertrophy (p < 0.02), except in the comparison of the end-diastolic data between no hypertrophy and mild hypertrophy groups (p > 0.1).

Conclusion: CT quantification of right ventricular mass using a semiautomatic 3D hybrid segmentation is technically applicable with high reproducibility in most patients with cardiovascular disease.
Author(s)
구현우
Issued Date
2021
Type
Article
Keyword
Cardiac CTCardiovascular diseaseRight ventricular hypertrophyRight ventricular massThreshold-based segmentation
DOI
10.3348/kjr.2020.0787
URI
https://oak.ulsan.ac.kr/handle/2021.oak/7949
https://ulsan-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_9785516&amp;context=PC&amp;vid=ULSAN&amp;lang=ko_KR&amp;search_scope=default_scope&amp;adaptor=primo_central_multiple_fe&amp;tab=default_tab&amp;query=any,contains,Right%20Ventricular%20Mass%20Quantification%20Using%20Cardiac%20CT%20and%20a%20Semiautomatic%20Three-Dimensional%20Hybrid%20Segmentation%20Approach:%20A%20Pilot%20Study&amp;offset=0&amp;pcAvailability=true
Publisher
KOREAN JOURNAL OF RADIOLOGY
Location
대한민국
Language
영어
ISSN
1229-6929
Citation Volume
22
Citation Number
6
Citation Start Page
901
Citation End Page
911
Appears in Collections:
Medicine > Medicine
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