计算机断层扫描衰减在鉴别恶性心包积液中的增量诊断价值:回顾性观察研究。

Duygu İnan, Ayse İrem Demirtola Mammadli, Gamze Gençol Akçay, Ali Fuat Tekin, Anar Mammadli
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引用次数: 0

摘要

目的:恶性心包积液(MPE)预后差,常表现为心包填塞。虽然细胞学是诊断的金标准,但其灵敏度有限。以Hounsfield单位(HU)测量的计算机断层扫描(CT)衰减可以反映液体成分,并有助于MPE的非侵入性鉴别。方法:本回顾性单中心研究纳入102例经皮心包穿刺及胸部CT检查的患者。根据病理结果将患者分为恶性或非恶性积液。在三个标准轴向水平测量CT衰减。采用多变量logistic回归和受试者工作特征(ROC)分析评估诊断效果。比较两种预测模型:模型1(临床和实验室变量)和模型2(模型1 + CT衰减)。结果:确诊MPE 44例(43.1%)。MPE组CT衰减值显著高于MPE组(中位值24.4 HU vs. 9.3 HU, P < 0.001)。在多因素分析中,男性、心包液蛋白升高、低血糖和高乳酸脱氢酶是MPE的独立预测因素。当加入到模型中时,CT衰减也成为一个独立的预测因子(模型2)(优势比[OR] = 1.076, 95%置信区间[CI]: 1.026-1.128, P = 0.003)。CT衰减的加入提高了模型的诊断性能(曲线下面积[AUC]:模型2为0.893,模型1为0.860)。模型2表现出优越的诊断性能(AUC = 0.893), CT衰减截止值为16.45 HU,敏感性为88.2%,特异性为78.3%。结论:CT衰减与常规临床及生化指标相结合,对MPE的诊断有增加价值。在快速诊断至关重要的环境中,其非侵入性和可重复性可支持早期发现恶性疾病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Incremental Diagnostic Value of Computed Tomography Attenuation in Differentiating Malignant Pericardial Effusion: A Retrospective Observational Study.

Objective: Malignant pericardial effusion (MPE) is associated with poor prognosis and frequently presents as cardiac tamponade. While cytology is the diagnostic gold standard, its sensitivity is limited. Computed tomography (CT) attenuation, measured in Hounsfield Units (HU), may reflect fluid composition and assist in the non-invasive differentiation of MPE.

Method: This retrospective, single-center study included 102 patients who underwent percutaneous pericardiocentesis and thoracic CT. Patients were classified as having malignant or non-malignant effusion based on pathological findings. CT attenuation was measured at three standardized axial levels. Diagnostic performance was assessed using multivariate logistic regression and receiver operating characteristic (ROC) analysis. Two predictive models were compared: Model 1 (clinical and laboratory variables) and Model 2 (Model 1 + CT attenuation).

Results: MPE was diagnosed in 44 patients (43.1%). CT attenuation values were significantly higher in the MPE group (median 24.4 HU vs. 9.3 HU, P < 0.001). On multivariate analysis, male sex, elevated pericardial fluid protein, low glucose, and high lactate dehydrogenase were independent predictors of MPE. CT attenuation also emerged as an independent predictor when added to the model (Model 2) (odds ratio [OR] = 1.076, 95% confidence interval [CI]: 1.026-1.128, P = 0.003). The inclusion of CT attenuation improved the model's diagnostic performance (area under the curve [AUC]: 0.893 for Model 2 vs. 0.860 for Model 1). Model 2 demonstrated superior diagnostic performance (AUC = 0.893), with a CT attenuation cut-off of 16.45 HU yielding a sensitivity of 88.2% and a specificity of 78.3%.

Conclusion: CT attenuation provides incremental diagnostic value in identifying MPE when combined with conventional clinical and biochemical parameters. In settings where rapid diagnosis is critical, its non-invasive and reproducible nature may support early detection of malignant conditions.

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