Automated quantitation of pericardiac fat from noncontrast CT
Automated quantitation of pericardiac fat from noncontrast CT
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DOI：
10.1097/rli.0b013e31815a054a
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发表时间：
2008-02-01
影响因子：
6.7
通讯作者：
Berman, Daniel S.
中科院分区：
文献类型：
--
作者：
Dey, Damini;Suzuki, Yasuyuki;Berman, Daniel S.
腹部内脏脂肪增加已被证明是心血管疾病的危险因素。初步研究表明心包脂肪（PF）可能提供类似的信息。我们的目标是开发一种新的软件（QFAT），用于从非对比心脏CT中自动定量PF，并将PF测量与其他心血管危险因素进行比较。方法：QFAT接受用户定义的范围内的心脏非对比横切面CT切片，自动分割心脏，并确定PFV体积作为连续的心包脂肪体素。PFV与心脏容积归一化定义PFR。105例患者（平均BMI 27，范围17-41）由2名观察员进行QFAT和手工处理（MAN）。结果：QFAT平均处理时间为20 +/- 4秒，MAN平均处理时间为9 +/- 6分钟。QFAT和MAN在PFV （R = 0.98）和PFR （R = 0.98）上有极好的一致性。MAN和QFAT的观察者间变异性具有可比性。PFV和PFR的扫描间和扫描间变异性与相应的观察者间变异性相当。PFV （R = 0.88, P < 0.0001）和PFR （R = 0.81, P < 0.0001）与腹部内脏脂肪面积呈强相关性，与BMI呈中度相关性（R = 0.58, P < 0.0001和R = 0.48, P < 0.0001），与腹部皮下脂肪面积呈弱相关性（R = 0.33, P < 0.0001和R = 0.32, P < 0.001）。结论：通过冠状动脉钙化筛查获得的非对比CT，可以准确、自动地量化PFV和PFR，并可为心血管风险提供补充信息。
Introduction: Increased abdominal visceral fat has been shown to be a cardiovascular risk factor. Preliminary studies indicate that pericardiac fat (PF) may provide similar information. We aimed to develop new software (QFAT) for automatic quantitation of PF from noncontrast cardiac CT and compare PF measures to other cardiovascular risk factors.Methods: QFAT accepts user-defined range of noncontrast transverse cardiac CT slices, automatically segments the heart, and determines PF volume (PFV) as contiguous pericardial fat voxels. PFV normalized to cardiac volume defines PF ratio (PFR). QFAT and manual processing (MAN) was performed in 105 patients (mean BMI, 27; range, 17-41) by 2 observers.Results: Mean processing time was 20 +/- 4 seconds for QFAT, and 9 +/- 6 minutes for MAN. There was excellent agreement between QFAT and MAN for PFV (R = 0.98) and PFR (R = 0.98). MAN and QFAT interobserver variability were comparable. Interscan and interscanner variability for PFV and PFR were comparable to corresponding interobserver variability. PFV (R = 0.88, P < 0.0001) and PFR (R = 0.81, P < 0.0001) correlated strongly with abdominal visceral fat area, moderately with BMI (R = 0.58, P < 0.0001 and R = 0.48, P < 0.0001), and weakly with abdominal subcutaneous fat area (R = 0.33, P < 0.0001 and R = 0.32, P 0.001).Conclusions: PFV and PFR can be accurately and automatically quantified from noncontrast CT acquired for coronary calcium screening and may provide complementary information regarding cardiovascular risk.