Xu Hong-Bo, Ding Can, Zhao Min, Lv Fa-Jin, Chu Zhi-Gang
Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Insights Imaging. 2025 Jul 19;16(1):157. doi: 10.1186/s13244-025-02043-0.
Some granulomas exhibit CT manifestations similar to those of peripheral lung cancers (PLCs), often resulting in misdiagnosis. This study aimed to identify the key clinical and CT indicators for differentiating them.
From October 2019 to July 2024, 204 atypical granulomas (no calcification, satellite lesions, and/or halo sign) and 204 size-matched PLCs manifested as solid nodules (SNs) were retrospectively enrolled. Patients' clinical, as well as non-enhanced and contrast-enhanced CT data, were evaluated and compared. The enhancement patterns of lesions included no significant enhancement (▵CT value < 15 HU), rim enhancement, enhancement with well-defined necrosis, heterogeneous enhancement, and homogeneous enhancement. The latter two patterns were further divided into mild (15-29 HU), moderate (30-59 HU), and severe (≥ 60 HU) enhancement.
Multivariate analysis revealed that younger age (≤ 63 years) (odds ratio [OR], 5.237; 95% confidence interval [CI], 2.609-10.509; p < 0.001), history of diabetes (OR, 9.097; 95% CI: 3.056-27.077; p < 0.001), irregular shape (OR, 3.603; 95% CI: 1.594-8.142; p = 0.002), lower non-enhanced CT value (≤ 21 HU) (OR, 7.576; 95% CI: 3.720-15.431; p < 0.001), and non-moderate enhancement patterns (OR, 50.065; 95% CI: 20.293-123.517; p < 0.001) were independent predictors of granulomas. The sensitivity, specificity, and area under the curve of this model were 88.7%, 83.8%, and 0.941 (95% CI: 0.919-0.962) (p < 0.001), respectively.
In younger (≤ 63 years) patients with diabetes, an irregular SN displaying lower density (≤ 21 HU) in non-enhanced CT and a non-moderate enhancement pattern should first be considered as a granuloma.
Distinguishing atypical granulomas from PLCs can be effectively achieved by evaluating the patient's age, underlying diseases, and the lesion's shape, non-enhanced CT value, and enhancement pattern. This integrated clinical-CT diagnostic approach could provide crucial insights for guiding subsequent clinical management.
Atypical granulomas and PLCs exhibit high morphological similarity. Enhancement patterns of lesions are crucial for differentiating atypical granulomas and PLCs. Atypical granulomas typically display irregular shape, lower non-enhanced CT value, and non-moderate enhancement pattern. Younger age and a history of diabetes are key clinical indicators of granulomas.
一些肉芽肿的CT表现与周围型肺癌(PLC)相似,常导致误诊。本研究旨在确定鉴别它们的关键临床和CT指标。
回顾性纳入2019年10月至2024年7月间表现为实性结节(SN)的204例非典型肉芽肿(无钙化、卫星灶和/或晕征)和204例大小匹配的PLC。对患者的临床资料以及平扫和增强CT数据进行评估和比较。病变的强化方式包括无明显强化(△CT值<15HU)、边缘强化、有明确坏死的强化、不均匀强化和均匀强化。后两种强化方式进一步分为轻度(15 - 29HU)、中度(30 - 59HU)和重度(≥60HU)强化。
多因素分析显示,年龄较小(≤63岁)(比值比[OR],5.237;95%置信区间[CI],2.609 - 10.509;p<0.001)、糖尿病史(OR,9.097;95%CI:3.056 - 27.077;p<0.001)、形态不规则(OR,3.603;95%CI:1.594 - 8.142;p = 0.002)、平扫CT值较低(≤21HU)(OR,7.576;95%CI:3.720 - 15.431;p<0.001)以及非中度强化方式(OR,50.065;95%CI:20.293 - 123.517;p<0.001)是肉芽肿的独立预测因素。该模型的敏感性、特异性和曲线下面积分别为分别为88.7%、83.8%和0.941(95%CI:0.919 - 0.962)(p<0.001)。
在年龄较小(≤63岁)的糖尿病患者中,平扫CT显示密度较低(≤21HU)且强化方式为非中度的不规则SN应首先考虑为肉芽肿。
通过评估患者年龄、基础疾病以及病变的形态、平扫CT值和强化方式,可有效区分非典型肉芽肿与PLC。这种综合临床-CT诊断方法可为指导后续临床管理提供关键见解。
非典型肉芽肿与PLC形态学相似性高。病变的强化方式对鉴别非典型肉芽肿与PLC至关重要。非典型肉芽肿通常表现为形态不规则、平扫CT值较低以及非中度强化方式。年龄较小和糖尿病史是肉芽肿的关键临床指标。