Wu Jiefang, Chen Weiguo, Zeng Fengxia, Ma Le, Xu Weimin, Yang Wei, Qin Genggeng
Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
Quant Imaging Med Surg. 2021 Oct;11(10):4342-4353. doi: 10.21037/qims-20-1346.
The present study aimed to investigate whether deep bone suppression imaging (BSI) could increase the diagnostic performance for solitary pulmonary nodule detection compared with digital tomosynthesis (DTS), dual-energy subtraction (DES) radiography, and conventional chest radiography (CCR).
A total of 256 patients (123 with a solitary pulmonary nodule, 133 with normal findings) were included in the study. The confidence score of 6 observers determined the presence or absence of pulmonary nodules in each patient. These were first analyzed using a CCR image, then with CCR plus deep BSI, then with CCR plus DES radiography, and finally with DTS images. Receiver-operating characteristic curves were used to evaluate the performance of the 6 observers in the detection of pulmonary nodules.
For the 6 observers, the average area under the curve improved significantly from 0.717 with CCR to 0.848 with CCR plus deep BSI (P<0.01), 0.834 with CCR plus DES radiography (P<0.01), and 0.939 with DTS (P<0.01). Comparisons between CCR and CCR plus deep BSI found that the sensitivities of the assessments by the 3 residents increased from 53.2% to 69.5% (P=0.014) for nodules located in the upper lung field, from 30.6% to 44.6% (P=0.015) for nodules that were partially/completely obscured by the bone, and from 33.2% to 45.8% (P=0.006) for nodules <10 mm.
The deep BSI technique can significantly increase the sensitivity of radiology residents for solitary pulmonary nodules compared with CCR. Increased detection was seen mainly for smaller nodules, nodules with partial/complete obscuration, and nodules located in the upper lung field.
本研究旨在探讨与数字断层合成(DTS)、双能减影(DES)X线摄影及传统胸部X线摄影(CCR)相比,深度骨抑制成像(BSI)能否提高孤立性肺结节的诊断效能。
本研究共纳入256例患者(123例有孤立性肺结节,133例检查结果正常)。6名观察者的置信度评分确定了每位患者是否存在肺结节。首先使用CCR图像进行分析,然后使用CCR加深度BSI图像分析,接着使用CCR加DES X线摄影图像分析,最后使用DTS图像分析。采用受试者操作特征曲线评估6名观察者检测肺结节的效能。
对于6名观察者,曲线下平均面积从CCR时的0.717显著提高到CCR加深度BSI时的0.848(P<0.01)、CCR加DES X线摄影时的0.834(P<0.01)以及DTS时的0.939(P<0.01)。CCR与CCR加深度BSI的比较发现,3名住院医师评估的敏感性,对于位于上肺野的结节从53.2%提高到69.5%(P=0.014),对于部分/完全被骨骼遮挡的结节从30.6%提高到44.6%(P=0.015),对于直径<10 mm的结节从33.2%提高到45.8%(P=0.006)。
与CCR相比,深度BSI技术可显著提高放射科住院医师对孤立性肺结节的检测敏感性。检测率增加主要见于较小的结节、部分/完全被遮挡的结节以及位于上肺野的结节。