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来自简化体素内不相干运动成像的联合扩散与灌注指数图能够对乳腺病变进行视觉评估。

Combined diffusion and perfusion index maps from simplified intravoxel incoherent motion imaging enable visual assessment of breast lesions.

作者信息

Mürtz Petra, Sprinkart Alois M, Block Wolfgang, Luetkens Julian A, Attenberger Ulrike, Pieper Claus C

机构信息

Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.

Department of Radiotherapy and Radiation Oncology, University Hospital Bonn, Venusberg-Campus 1, Bonn, Germany.

出版信息

Sci Rep. 2025 May 19;15(1):17388. doi: 10.1038/s41598-025-01984-2.

Abstract

The aim was to evaluate visual breast lesion assessment using single binary index maps (IDf) in comparison to the use of combined regions of interest (ROI) analysis of estimated diffusion coefficient (D') AND perfusion fraction (f'), which proved to be the best method in a previous simplified intravoxel incoherent motion DWI, if diffusion-weighted imaging (DWI) is used as stand-alone tool. IDf, was constructed voxel-wise from cut-off values of D' and f'. The cut-off values, the data of 105 malignant and 86 benign lesions and the ROIs were re-used. For visual assessment, IDf was displayed as two-colour b800 overlay with red representing "malignant" and green "benign" voxels. A lesion was rated as "malignant", if a red hot spot was found within translucent hyperintensity on b800, otherwise as "benign". Intraindividual comparison of quantitative analysis and visual assessment of IDf showed comparable accuracy, both to each other and to combined ROI-analysis of D' and f' maps (0.927 vs. 0.937, p = 0.157, and 0.921 vs. 0.937, p = 0.157, respectively). Thus, visual assessment of IDf can replace combined ROI analysis of D' and f' without loss in accuracy enabling a considerable facilitation in clinical routine.

摘要

目的是评估使用单一二元指数图(IDf)进行乳腺病变视觉评估,并与使用估计扩散系数(D')和灌注分数(f')的联合感兴趣区域(ROI)分析进行比较。在先前简化的体素内不相干运动扩散加权成像(DWI)中,如果将扩散加权成像(DWI)用作独立工具,联合感兴趣区域分析被证明是最佳方法。IDf是根据D'和f'的临界值逐体素构建的。临界值、105个恶性病变和86个良性病变的数据以及ROI被重新使用。为了进行视觉评估,IDf以双色b800叠加显示,红色代表“恶性”体素,绿色代表“良性”体素。如果在b800上的半透明高信号内发现红色热点,则将病变评为“恶性”,否则评为“良性”。IDf定量分析与视觉评估的个体内比较显示,两者之间以及与D'和f'图的联合ROI分析具有相当的准确性(分别为0.927对0.937,p = 0.157,以及0.921对0.937,p = 0.157)。因此,IDf的视觉评估可以替代D'和f'的联合ROI分析,而不会损失准确性,从而在临床常规中实现显著简化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba86/12089374/703c0b3b17b7/41598_2025_1984_Fig1_HTML.jpg

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