Suppr超能文献

社区放射学环境下乳腺定量MRI的可重复性、再现性及准确性

Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting.

作者信息

Sorace Anna G, Wu Chengyue, Barnes Stephanie L, Jarrett Angela M, Avery Sarah, Patt Debra, Goodgame Boone, Luci Jeffery J, Kang Hakmook, Abramson Richard G, Yankeelov Thomas E, Virostko John

机构信息

Department of Diagnostic Medicine, University of Texas at Austin, Austin, Texas, USA.

Livestrong Cancer Institutes, University of Texas at Austin, Austin, Texas, USA.

出版信息

J Magn Reson Imaging. 2018 Mar 23. doi: 10.1002/jmri.26011.

Abstract

BACKGROUND

Quantitative diffusion-weighted MRI (DW-MRI) and dynamic contrast-enhanced MRI (DCE-MRI) have the potential to impact patient care by providing noninvasive biological information in breast cancer.

PURPOSE/HYPOTHESIS: To quantify the repeatability, reproducibility, and accuracy of apparent diffusion coefficient (ADC) and T -mapping of the breast in community radiology practices.

STUDY TYPE

Prospective.

SUBJECTS/PHANTOM: Ice-water DW-MRI and T gel phantoms were used to assess accuracy. Normal subjects (n = 3) and phantoms across three sites (one academic, two community) were used to assess reproducibility. Test-retest analysis at one site in normal subjects (n = 12) was used to assess repeatability.

FIELD STRENGTH/SEQUENCE: 3T Siemens Skyra MRI quantitative DW-MRI and T -mapping.

ASSESSMENT

Quantitative DW-MRI and T -mapping parametric maps of phantoms and fibroglandular and adipose tissue of the breast.

STATISTICAL TESTS

Average values of breast tissue were quantified and Bland-Altman analysis was performed to assess the repeatability of the MRI techniques, while the Friedman test assessed reproducibility.

RESULTS

ADC measurements were reproducible across sites, with an average difference of 1.6% in an ice-water phantom and 7.0% in breast fibroglandular tissue. T measurements in gel phantoms had an average difference of 2.8% across three sites, whereas breast fibroglandular and adipose tissue had 8.4% and 7.5% average differences, respectively. In the repeatability study, we found no bias between first and second scanning sessions (P = 0.1). The difference between repeated measurements was independent of the mean for each MRI metric (P = 0.156, P = 0.862, P = 0.197 for ADC, T of fibroglandular tissue, and T of adipose tissue, respectively).

DATA CONCLUSION

Community radiology practices can perform repeatable, reproducible, and accurate quantitative T -mapping and DW-MRI. This has the potential to dramatically expand the number of sites that can participate in multisite clinical trials and increase clinical translation of quantitative MRI techniques for cancer response assessment.

LEVEL OF EVIDENCE

1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018.

摘要

背景

定量扩散加权磁共振成像(DW-MRI)和动态对比增强磁共振成像(DCE-MRI)有潜力通过提供乳腺癌的非侵入性生物学信息来影响患者护理。

目的/假设:量化社区放射学实践中乳腺表观扩散系数(ADC)和T值映射的可重复性、再现性和准确性。

研究类型

前瞻性研究。

受试者/体模:冰水DW-MRI和T凝胶体模用于评估准确性。正常受试者(n = 3)和三个地点(一个学术机构、两个社区机构)的体模用于评估再现性。在一个地点对正常受试者(n = 12)进行重测分析以评估可重复性。

场强/序列:3T西门子Skyra磁共振成像定量DW-MRI和T值映射。

评估

体模以及乳腺纤维腺组织和脂肪组织的定量DW-MRI和T值映射参数图。

统计检验

对乳腺组织的平均值进行量化,并进行Bland-Altman分析以评估MRI技术的可重复性,同时使用Friedman检验评估再现性。

结果

ADC测量在各地点之间具有可重复性,在冰水体模中的平均差异为1.6%,在乳腺纤维腺组织中的平均差异为7.0%。凝胶体模中的T测量在三个地点的平均差异为2.8%,而乳腺纤维腺组织和脂肪组织的平均差异分别为8.4%和7.5%。在可重复性研究中,我们发现第一次和第二次扫描之间没有偏差(P = 0.1)。重复测量之间的差异与每个MRI指标的平均值无关(ADC、纤维腺组织的T值和脂肪组织的T值的P值分别为0.156、0.862、0.197)。

数据结论

社区放射学实践可以进行可重复、可再现且准确的定量T值映射和DW-MRI。这有可能极大地扩大能够参与多中心临床试验的地点数量,并增加用于癌症反应评估的定量MRI技术的临床转化。

证据水平

1 技术效能:2级 《磁共振成像杂志》2018年。

相似文献

2
Repeatability and reproducibility of 3D MR fingerprinting relaxometry measurements in normal breast tissue.
J Magn Reson Imaging. 2019 Oct;50(4):1133-1143. doi: 10.1002/jmri.26717. Epub 2019 Mar 20.
4
Apparent Diffusion Coefficient Reproducibility Across 3 T Scanners in a Breast Diffusion Phantom.
J Magn Reson Imaging. 2023 Mar;57(3):812-823. doi: 10.1002/jmri.28355. Epub 2022 Aug 27.
7
Phantom validation of quantitative susceptibility and dynamic contrast-enhanced permeability MR sequences across instruments and sites.
J Magn Reson Imaging. 2020 Apr;51(4):1192-1199. doi: 10.1002/jmri.26927. Epub 2019 Sep 12.
8
Test-retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial.
J Magn Reson Imaging. 2019 Jun;49(6):1617-1628. doi: 10.1002/jmri.26539. Epub 2018 Oct 22.
9
Design of a breast phantom for quantitative MRI.
J Magn Reson Imaging. 2016 Sep;44(3):610-9. doi: 10.1002/jmri.25214. Epub 2016 Mar 7.

引用本文的文献

1
B1 corrected T1 mapping in the differentiation and prediction of breast cancer.
Sci Rep. 2025 Aug 21;15(1):30785. doi: 10.1038/s41598-025-15590-9.
4
Repeatability-encouraging self-supervised learning reconstruction for quantitative MRI.
Magn Reson Med. 2025 Aug;94(2):797-809. doi: 10.1002/mrm.30478. Epub 2025 Feb 27.
6
Phantoms for Quantitative Body MRI: a review and discussion of the phantom value.
MAGMA. 2024 Aug;37(4):535-549. doi: 10.1007/s10334-024-01181-8. Epub 2024 Jun 19.
7
Systematic evaluation of MRI-based characterization of tumor-associated vascular morphology and hemodynamics via a dynamic digital phantom.
J Med Imaging (Bellingham). 2024 Mar;11(2):024002. doi: 10.1117/1.JMI.11.2.024002. Epub 2024 Mar 8.
9
Analysis of simplicial complexes to determine when to sample for quantitative DCE MRI of the breast.
Magn Reson Med. 2023 Mar;89(3):1134-1150. doi: 10.1002/mrm.29511. Epub 2022 Nov 2.

本文引用的文献

6
Early Prediction and Evaluation of Breast Cancer Response to Neoadjuvant Chemotherapy Using Quantitative DCE-MRI.
Transl Oncol. 2016 Feb;9(1):8-17. doi: 10.1016/j.tranon.2015.11.016. Epub 2016 Jan 23.
7
Quantitative Imaging in Cancer Clinical Trials.
Clin Cancer Res. 2016 Jan 15;22(2):284-90. doi: 10.1158/1078-0432.CCR-14-3336.
8
MR Imaging Biomarkers in Oncology Clinical Trials.
Magn Reson Imaging Clin N Am. 2016 Feb;24(1):11-29. doi: 10.1016/j.mric.2015.08.002.
10
Beyond bar and line graphs: time for a new data presentation paradigm.
PLoS Biol. 2015 Apr 22;13(4):e1002128. doi: 10.1371/journal.pbio.1002128. eCollection 2015 Apr.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验