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前列腺癌超快动态对比增强磁共振成像中早期对比增强模型的比较

Comparison of Early Contrast Enhancement Models in Ultrafast Dynamic Contrast-Enhanced Magnetic Resonance Imaging of Prostate Cancer.

作者信息

Clemente Alfredo, Selva Guerino, Berks Michael, Morrone Federica, Morrone Aniello Alessandro, Aulisa Michele De Cristofaro, Bliakharskaia Ekaterina, De Nicola Andrea, Tartaro Armando, Summers Paul E

机构信息

Radiology Unit, Centro Medicina Nucleare N1, "Centro Morrone", 81100 Caserta, Italy.

Quantitative Biomedical Imaging Laboratory, Division of Cancer Sciences, University of Manchester, Manchester M13 9PL, UK.

出版信息

Diagnostics (Basel). 2024 Apr 23;14(9):870. doi: 10.3390/diagnostics14090870.

DOI:10.3390/diagnostics14090870
PMID:38732285
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11083228/
Abstract

Tofts models have failed to produce reliable quantitative markers for prostate cancer. We examined the differences between prostate zones and lesion PI-RADS categories and grade group (GG) using regions of interest drawn in tumor and normal-appearing tissue for a two-compartment uptake (2CU) model (including plasma volume (v), plasma flow (F), permeability surface area product (PS), plasma mean transit time (MTT), capillary transit time (T), extraction fraction (E), and transfer constant (K)) and exponential (amplitude (A), arrival time (t), and enhancement rate (α)), sigmoidal (amplitude (A), center time relative to arrival time (A - T), and slope (A)), and empirical mathematical models, and time to peak (TTP) parameters fitted to high temporal resolution (1.695 s) DCE-MRI data. In 25 patients with 35 PI-RADS category 3 or higher tumors, we found F and α differed between peripheral and transition zones. Parameters F, MTT, T, E, α, A - T, and A and TTP all showed associations with PI-RADS categories and with GG in the PZ when normal-appearing regions were included in the non-cancer GG. PS and K were not associated with any PI-RADS category or GG. This pilot study suggests early enhancement parameters derived from ultrafast DCE-MRI may become markers of prostate cancer.

摘要

托夫茨模型未能产生可靠的前列腺癌定量标志物。我们使用在肿瘤和外观正常组织中绘制的感兴趣区域，对两室摄取（2CU）模型（包括血容量（v）、血流（F）、通透表面积乘积（PS）、血浆平均通过时间（MTT）、毛细血管通过时间（T）、提取分数（E）和转移常数（K））以及指数模型（幅度（A）、到达时间（t）和增强率（α））、S形模型（幅度（A）、相对于到达时间的中心时间（A - T）和斜率（A））和经验数学模型，以及拟合到高时间分辨率（1.695秒）动态对比增强磁共振成像（DCE-MRI）数据的峰值时间（TTP）参数，研究了前列腺区域与病变PI-RADS类别和分级组（GG）之间的差异。在25例患有35个PI-RADS 3类或更高类别肿瘤的患者中，我们发现外周区和移行区之间的F和α存在差异。当非癌GG纳入外观正常区域时，参数F、MTT、T、E、α、A - T、A以及TTP在前列腺外周区均显示出与PI-RADS类别和GG相关。PS和K与任何PI-RADS类别或GG均无关联。这项初步研究表明，源自超快DCE-MRI的早期增强参数可能成为前列腺癌的标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fa3/11083228/990b6ff2971f/diagnostics-14-00870-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fa3/11083228/ad8da0d3ebaa/diagnostics-14-00870-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fa3/11083228/c6cb80f251a8/diagnostics-14-00870-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fa3/11083228/d3a613eeb94b/diagnostics-14-00870-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fa3/11083228/237dfadfd344/diagnostics-14-00870-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fa3/11083228/c54e7e974bda/diagnostics-14-00870-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fa3/11083228/bae45a391c2e/diagnostics-14-00870-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fa3/11083228/990b6ff2971f/diagnostics-14-00870-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fa3/11083228/ad8da0d3ebaa/diagnostics-14-00870-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fa3/11083228/c6cb80f251a8/diagnostics-14-00870-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fa3/11083228/d3a613eeb94b/diagnostics-14-00870-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fa3/11083228/237dfadfd344/diagnostics-14-00870-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fa3/11083228/c54e7e974bda/diagnostics-14-00870-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fa3/11083228/bae45a391c2e/diagnostics-14-00870-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fa3/11083228/990b6ff2971f/diagnostics-14-00870-g007.jpg

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