Assessing Quality and Adherence to PI-RADSv2.1 Minimum Technical Standards of Prostate MRI in NRG-GU005.

IF 3.5 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Stephanie Alley, Marion Tonneau, Damien Olivié, Clare M Tempany-Afdhal, Peter L Choyke, I Baris Turkbey, Uulke A van der Heide, Rodney J Ellis, Samuel Kadoury, Thomas P Boike, J Daniel Pennington, Arthur Frazier, Colleen A F Lawton, Nelson Leong, Alina M Mihai, Scott C Morgan, Abhishek A Solanki, Jeff M Michalski, Felix Y Feng, Howard M Sandler, Cynthia Menard
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引用次数: 0

Abstract

Background: Multi-parametric MRI (mpMRI) datasets often vary between sites due to differences in acquisition protocols.

Purpose: Evaluate adherence of multi-site mpMRI dataset to minimum technical standards (MTS) of PI-RADSv2.1.

Study type: Prospective.

Subjects: Six hundred patients (Age (years): ≤ 49 = 0.8%, 50-59 = 10.7%, 60-69 = 47.0%, ≥ 70 = 41.5%) with intermediate-risk prostate cancer (PCa) imaged across 124 institutions prior to radiotherapy.

Field strength/sequence: 3T, 1.5T, and 1.16T, T2-weighted (T2w): fast spin-echo, diffusion-weighted imaging (DWI): single-shot echo-planar imaging, and dynamic contrast-enhanced (DCE): T1-weighted 3D fast spoiled gradient echo.

Assessment: Scanner vendors included Siemens, GE, Philips, Toshiba, and Hitachi. Degree of adherence to PIRADSv2.1 was determined as the proportion of datasets that met MTS. Mean and standard deviation of parameter values were calculated where applicable. Prostate imaging quality (PI-QUAL)v2 scores were assigned by one of three observers in 491 datasets. Evaluation of DICOM metadata consistency was performed.

Statistical tests: Fisher's exact test to assess changes in MTS adherence over time and by field strength; Harrel's C-index to compare MTS adherence to PI-QUAL score. A p value of < 0.001 is considered statistically significant after Bonferroni correction.

Results: Eighty-two percent of MTS showed greater than 75% adherence. Low adherence was found in the in-plane dimension (frequency-encoding direction) for T2w images (57%, mean = 0.45 ± 0.16 mm) and field of view (FOV) for DW images (62%, mean = 22.67 ± 4.70 cm). Only 50% of datasets used the recommended high b value image to compute the apparent diffusion coefficient map. Adherence improved significantly over time for one T2w and two DWI parameters; the adherence of FOV improved significantly at 3T for T2w and DWI sequences. C-index values for two T2w and two DWI parameters demonstrated a relationship between PI-RADS MTS and PI-QUAL score. Ten percent of anonymized datasets were stripped of some sequence information.

Data conclusion: Results show promise for mpMRI standardization in characterization of PCa and identify key parameters that remain variable across datasets and institutions.

Evidence level: 1.

Technical efficacy: Stage 2.

Trial registration: ClinicalTrials.gov: NCT03367702.

NRG-GU005前列腺MRI最低技术标准的质量和依从性评估。
背景:由于采集协议的差异,多参数MRI (mpMRI)数据集经常在不同的站点之间变化。目的:评估多位点mpMRI数据集对PI-RADSv2.1最低技术标准(MTS)的依从性。研究类型:前瞻性。受试者:600例中危前列腺癌(PCa)患者(年龄:≤49 = 0.8%,50-59 = 10.7%,60-69 = 47.0%,≥70 = 41.5%)放射治疗前在124家机构进行影像学检查。场强/序列:3T、1.5T、1.16T, t2加权(T2w):快速自旋回波,扩散加权成像(DWI):单次回波平面成像,动态对比增强(DCE): t1加权3D快速破坏梯度回波。评估:扫描仪供应商包括西门子、GE、飞利浦、东芝和日立。以满足MTS的数据集的比例来确定PIRADSv2.1的依从度,并计算参数值的平均值和标准差。前列腺成像质量(PI-QUAL)v2评分由491个数据集的三名观察员中的一名分配。执行DICOM元数据一致性评估。统计检验:Fisher精确检验评估MTS依从性随时间和场强的变化;Harrel的c指数比较MTS依从性和PI-QUAL评分。结果的p值:82%的MTS患者的依从性大于75%。T2w图像的面内尺寸(频率编码方向)粘附度低(57%,平均= 0.45±0.16 mm), DW图像的视场(FOV)粘附度低(62%,平均= 22.67±4.70 cm)。只有50%的数据集使用推荐的高b值图像来计算表观扩散系数图。一项T2w和两项DWI参数的依从性随着时间的推移显著改善;T2w和DWI序列的视场依附性在3T时明显改善。两个T2w和两个DWI参数的c指数值显示PI-RADS MTS与PI-QUAL评分之间的关系。10%的匿名数据集被剥离了一些序列信息。数据结论:结果显示mpMRI在PCa表征的标准化方面有希望,并确定了在数据集和机构中保持可变的关键参数。证据等级:1。技术功效:第二阶段。试验注册:ClinicalTrials.gov: NCT03367702。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.70
自引率
6.80%
发文量
494
审稿时长
2 months
期刊介绍: The Journal of Magnetic Resonance Imaging (JMRI) is an international journal devoted to the timely publication of basic and clinical research, educational and review articles, and other information related to the diagnostic applications of magnetic resonance.
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