|
|
|
| Correlation of epicardial adipose volume and coronary calcification score with coronary stenosis in 320-row CT |
| GAO Qiang1 DENG Kexue2 CHENG Haotang1▲ |
1.CT Magnetic Resonance Room, Taihe County Hospital of Traditional Chinese Medicine, Anhui Province, Fuyang 236600, China;
2.Department of Imaging, the First Affiliated Hospital of University of Science and Technology of China, Anhui Province, Hefei 230001, China |
|
|
|
Abstract Objective To investigate the relationship between epicardial adipose tissue volume (EATV) measurement and coronary calcification score (CACS) with coronary stenosis in 320-row CT. Methods A total of 200 patients with coronary heart disease underwent 320-row CT examination at Taihe County Traditional Chinese Medicine Hospital of Anhui Province from October 2017 to April 2019 were selected as coronary heart disease group， and 40 patients underwent 320-row CT examination without coronary artery stenosis were selected as control group. The patients in coronary heart disease group were divided into low score group (Gensini score < 41 points, 85 cases), middle score group (41 points ≤ Gensini score < 64 points, 65 cases), and high score group (Gensini score ≥ 64 points, 50 cases) according Gensini score system. EATV and CACS of each group were recorded and compared. Results EATV and CACS in coronary heart disease group were higher than those in control group, the differences were statistically significant (P < 0.05). There were significant differences in EATV and CACS among three subgroups (P < 0.05). EATV and CACS in high score group were higher than those in low score group and middle score group, while EATV and CACS in middle score group were higher than those in low score group, the differences were statistically significant (P < 0.05). EATV was positively correlated with CACS, number of diseased vessels and Gensini score (r = 0.332, 0.421, 0.451, P < 0.05). CACS was positively correlated with the number of vessels and Gensini score (r = 0.359, 0.436, P < 0.05). The area under curve (AUC) of EATV was 0.75 (P < 0.05), the specificity was 65.2%, the sensitivity was 84.2%, and the cut-off value was 191.25 cm3. AUC of CACS was 0.75, the specificity was 61.8%, the sensitivity was 88.3%, and the cut-off value was 286.05 points. Conclusion The 320-row CT EATV and CACS are positively correlated with coronary artery stenosis in patients with coronary heart disease, and have certain value in predicting severe coronary artery stenosis.
|
|
|
|
|
|
[1] 王子荣，刘飞，张祖峰，等.320排动态容积CT冠状动脉血管成像中屏气双阈值触发对冠心病患者间冠状动脉增强差异的研究[J].临床放射学杂志，2019，38（9）：1777-1782.
[2] 彭睿，方正，陈金华，等.缩窄320排CT冠状动脉成像采集时间窗的可行性[J].中国医学影像技术，2020，36（3）：460-463.
[3] 杨威威，梁奕，凡娜，等.自由呼吸状态下行320排冠状动脉CT血管成像检查的可行性[J].广西医学，2020，42（4）：421-424.
[4] 徐敏，怀德，于东洋.320排CT双低冠状动脉MIP血管成像在阻塞性睡眠呼吸暂停综合征伴冠心病中的应用[J].中国医师杂志，2019，21（12）：1787-1789，1793.
[5] Yamashita K，Yamamoto MH，Igawa W，et al. Association of epicardial adipose tissue volume and total coronary plaque burden in patients with coronary artery disease [J]. Int Heart J，2018，59（6）：1219-1226.
[6] 高志红，左玉强，秦会敏，等.冠心病患者心外膜脂肪体积与冠状动脉狭窄程度相关性分析[J].中国心血管病研究，2020，18（2）：115-119.
[7] Tanami Y，Jinzaki M，Kishi S，et al. Lack of association between epicardial fat volume and extent of coronary artery calcification，severity of coronary artery disease，or presence of myocardial perfusion abnormalities in a diverse，symptomatic patient population：results from the CORE320 multicenter study [J]. Circ Cardiovasc Imaging，2015，8（3）：e2676.
[8] 刘红艳，王勤，杨栋梁，等.320排CT低剂量冠状动脉成像评价左心功能[J].影像诊断与介入放射学，2019，28（6）：417-421.
[9] 张国明，李晓燕，孙钢，等.320排动态容积CT节段性钙化积分对冠状动脉病变诊断和介入治疗的价值[J].中华临床医师杂志：电子版，2013，16（7）：6928-6932.
[10] 孟雪，许楠，席芊.双能量CT和320排CT冠状动脉减影技术的临床应用[J].心血管病学进展，2020，41（5）：504-507，512.
[11] 中华医学会心血管病学分会介入心脏病学组，中华医学会心血管病学分会动脉粥样硬化与冠心病学组，中国医师协会心血管内科医师分会血栓防治专业委员会，等.稳定性冠心病诊断与治疗指南[J].中华心血管病杂志，2018，46（9）：680-694.
[12] Bo X，Ma L，Fan J，et al. Epicardial fat volume is correlated with coronary lesion and its severity [J]. Int J Clin Exp Med，2015，8（3）：4328-4334.
[13] Mahabadi AA，Massaro JM，Rosito GA，et al. Association of pericardial fat，intrathoracic fat，and visceral abdominal fat with cardiovascular disease burden：the Framingham Heart Study [J]. Eur Heart J，2009，30（7）：850-856.
[14] 沈蕾，李晓惠，廖敏蕾.心外膜脂肪组织体积与冠状动脉粥样硬化 严重程度及预后的关系[J].天津医药，2018， 46（10）：1079-1083.
[15] 马爱珍，陈殿森，徐志宾，等.应用320排低剂量CT测量心外膜脂肪体积与冠心病的相关性分析[J].临床放射学杂志，2019，38（11）：2066-2070.
[16] Mckenney ML，Schultz KA，Boyd JH，et al. Epicardial adipose excision slows the progression of porcine coronary atherosclerosis [J]. J Cardiothorac Surg，2014，9：2.
[17] Mohar DS，Salcedo J，Hoang KC，et al. Epicardial adipose tissue volume as a marker of coronary artery disease severity in patients with diabetes independent of coronary artery calcium：findings from the CTRAD study [J]. Diabetes Res Clin Pract，2014，106（2）：228-235.
[18] Moradi M，Nouri S，Nourozi A，et al. Prognostic value of coronary artery calcium score for determination of presence and severity of coronary artery disease [J]. Pol J Radiol，2017，82：165-169.
[19] 钟幸，邱姝琪.SPECT/CT MPI联合CACS诊断冠心病的临床价值分析[J].中国CT和MRI杂志，2020，18（6）：67-69.
[20] 陈克文，赵年，徐佳佳，等.钙化积分在复杂冠心病血运重建决策中的应用[J].检验医学与临床，2019，16（15）：2120-2122，2126.
[21] Tesche C，De Cecco CN，Stubenrauch A，et al. Correlation and predictive value of aortic root calcification markers with coronary artery calcification and obstructive coronary artery disease [J]. Radiol Med，2017，122（2）：113-120.
[22] Gitsioudis G，Hosch W，Iwan J，et al. When do we really need coronary calcium scoring prior to contrast-enhanced coronary computed tomography angiography? Analysis by age，gender and coronary risk factors [J]. PLoS One，2014，9（4）：e92396.
[23] 李晓燕，张国明，孙钢，等.320排动态容积CT与冠脉造影狭窄程度判断差异的因素探讨[J].中华医学杂志，2013，93（31）：2496-2498.
[24] Almasi A，Pouraliakbar H，Sedghian A，et al. The value of coronary artery calcium score assessed by dual-source computed tomography coronary angiography for predicting presence and severity of coronary artery disease [J]. Pol J Radiol，2014，79：169-174.
[25] Motevalli M，Ghanaati H，Firouznia K，et al. Diagnostic efficacy of vessel specific coronary calcium score in detection of coronary artery stenosis [J]. Iran Red Crescent Med J，2014，16（12）：e26010. |
|
|
|
