Ortlieb Anne-Claire, Labani Aissam, Severac François, Jeung Mi-Young, Roy Catherine, Ohana Mickaël
Radiology Department, Institut Paoli-Calmettes, 232 Boulevard de Sainte-Marguerite, 13009 Marseille, France.
Radiology Department, Nouvel Hôpital Civil, 1 Place de l'Hôpital, 67000 Strasbourg, France.
J Clin Med. 2021 Jul 26;10(15):3284. doi: 10.3390/jcm10153284.
The image quality of an Ultra-Low-Dose (ULD) chest CT depends on the patient's morphotype. We hypothesize that there is a threshold beyond which the diagnostic performance of a ULD chest CT is too degraded. This work assesses the influence of morphotype (Body Mass Index BMI, Maximum Transverse Chest Diameter MTCD and gender) on image quality and the diagnostic performance of a ULD chest CT.
A total of 170 patients from three prior prospective monocentric studies were retrospectively included. Renewal of consent was waived by our IRB. All the patients underwent two consecutive unenhanced chest CT acquisitions with a full dose (120 kV, automated tube current modulation) and a ULD (135 kV, fixed tube current at 10 mA). Image noise, subjective image quality and diagnostic performance for nine predefined lung parenchyma lesions were assessed by two independent readers, and correlations with the patient's morphotype were sought.
The mean BMI was 26.6 ± 5.3; 20.6% of patients had a BMI > 30. There was a statistically significant negative correlation of the BMI with the image quality (ρ = -0.32; IC95% = (-0.468; -0.18)). The per-patient diagnostic performance of ULD was sensitivity, 77%; specificity, 99%; PPV, 94% and NPV, 65%. There was no statistically significant influence of the BMI, the MTCD nor the gender on the per-patient and per-lesion diagnostic performance of a ULD chest CT, apart from a significant negative correlation for the detection of emphysema.
Despite a negative correlation between the BMI and the image quality of a ULD chest CT, we did not find a correlation between the BMI and the diagnostic performance of the examination, suggesting a possible use of the ULD protocol in obese patients.
超低剂量(ULD)胸部CT的图像质量取决于患者的体型。我们假设存在一个阈值,超过该阈值ULD胸部CT的诊断性能会过度下降。本研究评估体型(体重指数BMI、胸部最大横径MTCD和性别)对ULD胸部CT图像质量和诊断性能的影响。
回顾性纳入来自三项先前前瞻性单中心研究的170例患者。我们的机构审查委员会(IRB)豁免了重新获取同意书的要求。所有患者均连续进行两次非增强胸部CT扫描,一次是全剂量扫描(120 kV,自动管电流调制),另一次是ULD扫描(135 kV,固定管电流为10 mA)。由两名独立阅片者评估九个预定义肺实质病变的图像噪声、主观图像质量和诊断性能,并寻找与患者体型的相关性。
平均BMI为26.6±5.3;20.6%的患者BMI>30。BMI与图像质量之间存在统计学显著的负相关性(ρ = -0.32;95%置信区间=(-0.468;-0.18))。ULD扫描的患者个体诊断性能为:灵敏度77%;特异度99%;阳性预测值94%;阴性预测值65%。除了肺气肿检测存在显著负相关性外,BMI、MTCD和性别对ULD胸部CT的患者个体和病变诊断性能均无统计学显著影响。
尽管BMI与ULD胸部CT的图像质量之间存在负相关性,但我们未发现BMI与检查的诊断性能之间存在相关性,这表明ULD方案可能适用于肥胖患者。