Lal Navneet R, Agarwal Gaurav Raj, Boruah Deb K
Radiodiagnosis, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, IND.
Radiodiagnosis, All India Institute of Medical Sciences, Guwahati, IND.
Cureus. 2023 Aug 5;15(8):e43005. doi: 10.7759/cureus.43005. eCollection 2023 Aug.
Introduction Cavitary lung disease has a wide range of differential diagnoses, which include both benign and malignant lesions. Imaging differentiation of benign from malignant cavitary lesions has always been a challenge due to overlapping imaging findings. The present study describes the most accurate multidetector computed tomography (MDCT) findings that could help in differentiating benign from malignant conditions in correlation with the histopathological reports. Methods This retrospective study was carried out on diagnosed cases of cavitary lung lesions on MDCT from January 2022 to February 2023. We evaluated the number of cavitary lung lesions, their location with respect to lung segment/lobe, the maximum diameter of the largest lesion, the maximum wall thickness of the largest cavity, and additional findings associated with these lesions. Measurements of the maximum wall thickness were plotted on a graph. Statistical analysis was done, and a receiver operating characteristic curve (ROC) was calculated to find the accurate cut-off wall thickness for malignant and non-malignant lesions. These findings were then correlated with the histopathological report. Results A review of the MDCT scans of 47 patients was done; 30 (63.8%) of those were male with a mean age of 47.93±14.68 (SD) years while 17 (36.2%) were female with a mean age of 52.53 ±18.38 (SD) years. Out of 47 patients, 27 (57.4%) had benign lesions and 20 (42.5%) had malignant lesions. Significant differences (p<0.05) were found between benign and malignant lesions while comparing the averages of maximum wall thickness (8.1 mm and 14.5 mm, respectively) and the irregular inner margin of the largest cavitary lesions. The presence of consolidation and centrilobular nodules correlated significantly (p<0.05) with the benign nature of cavitary lung lesions. The maximum cut-off wall thickness was <6 mm and >17 mm for the differentiation of benign from malignant lung lesions, respectively. Conclusions The maximum wall thickness and irregular inner margin of cavitary lung lesions was a good indicator for the differentiation of benign and malignant etiologies on MDCT while consolidation and centrilobular nodules favoured the benign etiology more.
引言 空洞性肺疾病有广泛的鉴别诊断范围,包括良性和恶性病变。由于影像学表现重叠,良性与恶性空洞性病变的影像学鉴别一直是一项挑战。本研究描述了最准确的多排螺旋计算机断层扫描(MDCT)表现,这些表现有助于结合组织病理学报告鉴别良性与恶性情况。
方法 本回顾性研究对2022年1月至2023年2月MDCT诊断的空洞性肺病变病例进行。我们评估了空洞性肺病变的数量、其相对于肺段/肺叶的位置、最大病变的最大直径、最大空洞的最大壁厚以及与这些病变相关的其他表现。将最大壁厚的测量值绘制在图表上。进行统计分析,并计算受试者操作特征曲线(ROC)以确定恶性和非恶性病变的准确壁厚临界值。然后将这些发现与组织病理学报告进行关联。
结果 对47例患者的MDCT扫描进行了回顾;其中30例(63.8%)为男性,平均年龄47.93±14.68(标准差)岁,17例(36.2%)为女性,平均年龄52.53±18.38(标准差)岁。在47例患者中,27例(57.4%)有良性病变,20例(42.5%)有恶性病变。在比较最大壁厚平均值(分别为8.1mm和14.5mm)和最大空洞性病变的不规则内缘时,良性和恶性病变之间存在显著差异(p<0.05)。实变和小叶中心结节的存在与空洞性肺病变的良性性质显著相关(p<0.05)。良性与恶性肺病变鉴别的最大壁厚临界值分别为<6mm和>17mm。
结论 空洞性肺病变的最大壁厚和不规则内缘是MDCT上鉴别良性和恶性病因的良好指标,而实变和小叶中心结节更倾向于良性病因。