Garg Mandeep, Devkota Shritik, Prabhakar Nidhi, Debi Uma, Kaur Maninder, Sehgal Inderpaul S, Dhooria Sahajal, Bhalla Ashish, Sandhu Manavjit Singh
Department of Radiodiagnosis & Imaging, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh 160012, India.
Department of Pulmonary Medicine, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh 160012, India.
Diagnostics (Basel). 2023 Jan 18;13(3):351. doi: 10.3390/diagnostics13030351.
The rapid increase in the number of CT acquisitions during the COVID-19 pandemic raised concerns about increased radiation exposure to patients and the resultant radiation-induced health risks. It prompted researchers to explore newer CT techniques like ultra-low dose CT (ULDCT), which could improve patient safety. Our aim was to study the utility of ultra-low dose CT (ULDCT) chest in the evaluation of acute COVID-19 pneumonia with standard-dose CT (SDCT) chest as a reference standard. This was a prospective study approved by the institutional review board. 60 RT-PCR positive COVID-19 patients with valid indication for CT chest underwent SDCT and ULDCT. ULDCT and SDCT were compared in terms of objective (noise and signal-to-noise ratio) and subjective (noise, sharpness, artifacts and diagnostic confidence) image quality, various imaging patterns of COVID-19, CT severity score and effective radiation dose. The sensitivity, specificity, positive and negative predictive value, and diagnostic accuracy of ULDCT for detecting lung lesions were calculated by taking SDCT as a reference standard. The mean age of subjects was 47.2 ± 10.7 years, with 66.67% being men. 90% of ULDCT scans showed no/minimal noise and sharp images, while 93.33% had image quality of high diagnostic confidence. The major imaging findings detected by SDCT were GGOs (90%), consolidation (76.67%), septal thickening (60%), linear opacities (33.33%), crazy-paving pattern (33.33%), nodules (30%), pleural thickening (30%), lymphadenopathy (30%) and pleural effusion (23.33%). Sensitivity, specificity and diagnostic accuracy of ULDCT for detecting most of the imaging patterns were 100% ( < 0.001); except for GGOs (sensitivity: 92.59%, specificity: 100%, diagnostic accuracy: 93.33%), consolidation (sensitivity: 100%, specificity: 71.43%, diagnostic accuracy: 93.33%) and linear opacity (sensitivity: 90.00%, specificity: 100%, diagnostic accuracy: 96.67%). CT severity score (range: 15-25) showed 100% concordance on SDCT and ULDCT, while effective radiation dose was 4.93 ± 1.11 mSv and 0.26 ± 0.024 mSv, respectively. A dose reduction of 94.38 ± 1.7% was achieved with ULDCT. Compared to SDCT, ULDCT chest yielded images of reasonable and comparable diagnostic quality with the advantage of significantly reduced radiation dose; thus, it can be a good alternative to SDCT in the evaluation of COVID-19 pneumonia.
在新冠疫情期间,CT检查数量迅速增加,这引发了人们对患者辐射暴露增加以及由此产生的辐射诱发健康风险的担忧。这促使研究人员探索更新的CT技术,如超低剂量CT(ULDCT),以提高患者安全性。我们的目的是以标准剂量胸部CT(SDCT)作为参考标准,研究超低剂量胸部CT(ULDCT)在评估急性新冠肺炎中的效用。这是一项经机构审查委员会批准的前瞻性研究。60例RT-PCR检测呈阳性且有胸部CT有效指征的新冠患者接受了SDCT和ULDCT检查。对ULDCT和SDCT在客观(噪声和信噪比)和主观(噪声、清晰度、伪影和诊断信心)图像质量、新冠的各种影像学表现、CT严重程度评分和有效辐射剂量方面进行了比较。以SDCT作为参考标准,计算ULDCT检测肺部病变的敏感性、特异性、阳性和阴性预测值以及诊断准确性。受试者的平均年龄为47.2±10.7岁,男性占66.67%。90%的ULDCT扫描显示无/最小噪声且图像清晰,而93.33%的图像质量具有高诊断信心。SDCT检测到的主要影像学表现为磨玻璃影(GGOs,90%)、实变(76.67%)、小叶间隔增厚(60%)、线状影(33.33%)、铺路石样表现(33.33%)、结节(30%)、胸膜增厚(30%)、淋巴结肿大(30%)和胸腔积液(23.33%)。ULDCT检测大多数影像学表现的敏感性、特异性和诊断准确性均为100%(P<0.001);磨玻璃影除外(敏感性:92.59%,特异性:100%,诊断准确性:93.33%)、实变(敏感性:100%,特异性:71.43%,诊断准确性:93.33%)和线状影(敏感性:90.00%,特异性:100%,诊断准确性:96.67%)。CT严重程度评分(范围:15 - 25)在SDCT和ULDCT上显示100%一致性,而有效辐射剂量分别为4.93±1.11 mSv和0.26±0.024 mSv。ULDCT实现了94.38±1.7%的剂量降低。与SDCT相比,ULDCT胸部成像具有合理且可比的诊断质量,且具有显著降低辐射剂量的优势;因此,在评估新冠肺炎时,它可以成为SDCT的良好替代方案。