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
{"title":"NRG-GU005前列腺MRI最低技术标准的质量和依从性评估。","authors":"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","doi":"10.1002/jmri.70142","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Multi-parametric MRI (mpMRI) datasets often vary between sites due to differences in acquisition protocols.</p><p><strong>Purpose: </strong>Evaluate adherence of multi-site mpMRI dataset to minimum technical standards (MTS) of PI-RADSv2.1.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Subjects: </strong>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.</p><p><strong>Field strength/sequence: </strong>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.</p><p><strong>Assessment: </strong>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.</p><p><strong>Statistical tests: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Data conclusion: </strong>Results show promise for mpMRI standardization in characterization of PCa and identify key parameters that remain variable across datasets and institutions.</p><p><strong>Evidence level: </strong>1.</p><p><strong>Technical efficacy: </strong>Stage 2.</p><p><strong>Trial registration: </strong>ClinicalTrials.gov: NCT03367702.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing Quality and Adherence to PI-RADSv2.1 Minimum Technical Standards of Prostate MRI in NRG-GU005.\",\"authors\":\"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\",\"doi\":\"10.1002/jmri.70142\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Multi-parametric MRI (mpMRI) datasets often vary between sites due to differences in acquisition protocols.</p><p><strong>Purpose: </strong>Evaluate adherence of multi-site mpMRI dataset to minimum technical standards (MTS) of PI-RADSv2.1.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Subjects: </strong>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.</p><p><strong>Field strength/sequence: </strong>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.</p><p><strong>Assessment: </strong>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.</p><p><strong>Statistical tests: </strong>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.</p><p><strong>Results: </strong>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. 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Assessing Quality and Adherence to PI-RADSv2.1 Minimum Technical Standards of Prostate MRI in NRG-GU005.
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.
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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