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扩散加权成像的单指数、双指数、拉伸指数和扩散峰度模型:孤立性肺病变的定量鉴别

Monoexponential, biexponential, stretched exponential and diffusion kurtosis models of diffusion-weighted imaging: a quantitative differentiation of solitary pulmonary lesion.

作者信息

Wang Ke, Wu Guangyao

机构信息

PET/CT-MRI and Molecular Imaging Center, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.

Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.

出版信息

BMC Med Imaging. 2024 Dec 20;24(1):346. doi: 10.1186/s12880-024-01537-5.

Abstract

BACKGROUND

Diffusion-weighted imaging (DWI) can be used for quantitative tumor assessment. DWI with different models may show different aspects of tissue characteristics.

OBJECTIVE

To investigate the diagnostic performance of parameters derived from monoexponential, biexponential, stretched exponential magnetic resonance diffusion weighted imaging (DWI) and diffusion kurtosis imaging (DKI) in differentiating benign from malignant solitary pulmonary lesions (SPLs).

METHOD

Forty-four SPL subjects were selected according to the inclusion criteria. All patients underwent conventional and multi‑b DWI sequences. Monoexponential DWI and DKI model were fitted using least square method. Levenberg-Marquardt nonlinear fitting biexponential and stretched exponential DWI. Region of interests (ROIs) were described manually. Parameters between benign and malignant SPLs were compared using independent sample t test or the Mann-Whitney U test. Receiver operating characteristic (ROC) curves analysis was used to investigate the diagnostic performance of different DWI parameters. Correlation between all parameters were evaluated by using Spearman correlation.

RESULT

ADC, ADC, α, DDC and D values were significantly lower in malignant SPL than in benign SPL (P < 0.001). K was significantly higher in malignant SPL than in benign SPL (P < 0.001). Among all subjects, ADC was significantly lower than ADC (P < 0.05), while DDC and D were significantly higher than ADC (P < 0.05). When observing the ROC curves for distinguishing benign and malignant SPL, the AUC values of ADC, ADC, DDC, D, and K were 0.904, 0.815, 0.942, 0.93, and 0.815, respectively. The DDC value has the highest area under ROC curve value. DeLong analysis showed no statistically significant difference in the area under ADC, DDC, and D curves. There were strong correlations among ADC, ADC, ADC, f, α, DDC, D, and K (P < 0.001).

CONCLUSION

Multi‑b DWI is a promising method for differentiating benign from malignant SPLs with high diagnostic accuracy. In addition, the DDC derived from stretched‑exponential model is the most promising DWI parameter for the differentiation of benign and malignant SPLs.

TRAIL REGISTRATION

This study was a clinical trail study, with study protocol published at ClinicalTrails. Retrospectively registered number ChiCTR2300074258, date of registration 02/08/2023.

摘要

背景

扩散加权成像(DWI)可用于肿瘤的定量评估。不同模型的DWI可能显示组织特征的不同方面。

目的

探讨单指数、双指数、拉伸指数磁共振扩散加权成像(DWI)及扩散峰度成像(DKI)导出参数在鉴别良性与恶性孤立性肺结节(SPL)中的诊断性能。

方法

根据纳入标准选取44例SPL患者。所有患者均接受常规及多b值DWI序列检查。采用最小二乘法拟合单指数DWI和DKI模型。采用Levenberg-Marquardt非线性拟合双指数和拉伸指数DWI。手动描绘感兴趣区(ROI)。采用独立样本t检验或Mann-Whitney U检验比较良性与恶性SPL的参数。采用受试者工作特征(ROC)曲线分析评估不同DWI参数的诊断性能。采用Spearman相关性评估所有参数之间的相关性。

结果

恶性SPL的ADC、ADC、α、DDC和D值均显著低于良性SPL(P < 0.001)。恶性SPL的K值显著高于良性SPL(P < 0.001)。在所有受试者中,ADC显著低于ADC(P < 0.05),而DDC和D显著高于ADC(P < 0.05)。观察鉴别良性与恶性SPL的ROC曲线时,ADC、ADC、DDC、D和K的AUC值分别为0.904、0.815、0.942、0.93和0.815。DDC值的ROC曲线下面积值最高。DeLong分析显示ADC、DDC和D曲线下面积无统计学显著差异。ADC、ADC、ADC、f、α、DDC、D和K之间存在强相关性(P < 0.001)。

结论

多b值DWI是一种很有前景的鉴别良性与恶性SPL的方法,诊断准确性高。此外,拉伸指数模型导出的DDC是鉴别良性与恶性SPL最有前景的DWI参数。

试验注册

本研究为临床研究,研究方案发表于ClinicalTrails。回顾性注册编号ChiCTR2300074258,注册日期2023年8月2日。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de2/11660850/666e978a73c0/12880_2024_1537_Fig1_HTML.jpg

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