Dataset Information

Consensus-Based Technical Recommendations for Clinical Translation of Renal Phase Contrast MRI.

ABSTRACT:

Background

Phase-contrast (PC) MRI is a feasible and valid noninvasive technique to measure renal artery blood flow, showing potential to support diagnosis and monitoring of renal diseases. However, the variability in measured renal blood flow values across studies is large, most likely due to differences in PC-MRI acquisition and processing. Standardized acquisition and processing protocols are therefore needed to minimize this variability and maximize the potential of renal PC-MRI as a clinically useful tool.

Purpose

To build technical recommendations for the acquisition, processing, and analysis of renal 2D PC-MRI data in human subjects to promote standardization of renal blood flow measurements and facilitate the comparability of results across scanners and in multicenter clinical studies.

Study type

Systematic consensus process using a modified Delphi method.

Population

Not applicable.

Sequence field/strength

Renal fast gradient echo-based 2D PC-MRI.

Assessment

An international panel of 27 experts from Europe, the USA, Australia, and Japan with 6 (interquartile range 4-10) years of experience in 2D PC-MRI formulated consensus statements on renal 2D PC-MRI in two rounds of surveys. Starting from a recently published systematic review article, literature-based and data-driven statements regarding patient preparation, hardware, acquisition protocol, analysis steps, and data reporting were formulated.

Statistical tests

Consensus was defined as ≥75% unanimity in response, and a clear preference was defined as 60-74% agreement among the experts.

Results

Among 60 statements, 57 (95%) achieved consensus after the second-round survey, while the remaining three showed a clear preference. Consensus statements resulted in specific recommendations for subject preparation, 2D renal PC-MRI data acquisition, processing, and reporting.

Data conclusion

These recommendations might promote a widespread adoption of renal PC-MRI, and may help foster the set-up of multicenter studies aimed at defining reference values and building larger and more definitive evidence, and will facilitate clinical translation of PC-MRI.

Level of evidence

1 TECHNICAL EFFICACY STAGE: 1.

SUBMITTER: de Boer A

PROVIDER: S-EPMC9291014 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature

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Publications

Consensus-Based Technical Recommendations for Clinical Translation of Renal Phase Contrast MRI.

de Boer Anneloes A Villa Giulia G Bane Octavia O Bock Michael M Cox Eleanor F EF Dekkers Ilona A IA Eckerbom Per P Fernández-Seara Maria A MA Francis Susan T ST Haddock Bryan B Hall Michael E ME Hall Barrientos Pauline P Hermann Ingo I Hockings Paul D PD Lamb Hildo J HJ Laustsen Christoffer C Lim Ruth P RP Morris David M DM Ringgaard Steffen S Serai Suraj D SD Sharma Kanishka K Sourbron Steven S Takehara Yasuo Y Wentland Andrew L AL Wolf Marcos M Zöllner Frank G FG Nery Fabio F Caroli Anna A

Journal of magnetic resonance imaging : JMRI 20201102 2

<h4>Background</h4>Phase-contrast (PC) MRI is a feasible and valid noninvasive technique to measure renal artery blood flow, showing potential to support diagnosis and monitoring of renal diseases. However, the variability in measured renal blood flow values across studies is large, most likely due to differences in PC-MRI acquisition and processing. Standardized acquisition and processing protocols are therefore needed to minimize this variability and maximize the potential of renal PC-MRI as a ...[more]

PMID: 33140551

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Project description:ObjectivesTime-resolved, 2D-phase-contrast MRI (2D-CINE-PC-MRI) enables in vivo blood flow analysis. However, accurate vessel contour delineation (VCD) is required to achieve reliable results. We sought to evaluate manual analysis (MA) compared to the performance of a deep learning (DL) application for fully-automated VCD and flow quantification and corrected semi-automated analysis (corSAA).MethodsWe included 97 consecutive patients (age = 52.9 ± 16 years, 41 female) with 2D-CINE-PC-MRI imaging on 1.5T MRI systems at sinotubular junction (STJ), and 28/97 also received 2D-CINE-PC at main pulmonary artery (PA). A cardiovascular radiologist performed MA (reference) and corSAA (built-in tool) in commercial software for all cardiac time frames (median: 20, total contours per analysis: 2358 STJ, 680 PA). DL-analysis automatically performed VCD, followed by net flow (NF) and peak velocity (PV) quantification. Contours were compared using Dice similarity coefficients (DSC). Discrepant cases (> ± 10 mL or > ± 10 cm/s) were reviewed in detail.ResultsDL was successfully applied to 97% (121/125) of the 2D-CINE-PC-MRI series (STJ: 95/97, 98%, PA: 26/28, 93%). Compared to MA, mean DSC were 0.91 ± 0.02 (DL), 0.94 ± 0.02 (corSAA) at STJ, and 0.85 ± 0.08 (DL), 0.93 ± 0.02 (corSAA) at PA; this indicated good to excellent DL-performance. Flow quantification revealed similar NF at STJ (p = 0.48) and PA (p > 0.05) between methods while PV assessment was significantly different (STJ: p < 0.001, PA: p = 0.04). A detailed review showed noisy voxels in MA and corSAA impacted PV results. Overall, DL analysis compared to human assessments was accurate in 113/121 (93.4%) cases.ConclusionsFully-automated DL-analysis of 2D-CINE-PC-MRI provided flow quantification at STJ and PA at expert level in > 93% of cases with results being available instantaneously.Key points• Deep learning performed flow quantification on clinical 2D-CINE-PC series at the sinotubular junction and pulmonary artery at the expert level in > 93% of cases. • Location detection and contouring of the vessel boundaries were performed fully-automatic with results being available instantaneously compared to human assessments which approximately takes three minutes per location. • The evaluated tool indicates usability in daily practice.

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Dataset Information

Consensus-Based Technical Recommendations for Clinical Translation of Renal Phase Contrast MRI.

Background

Purpose

Study type

Population

Sequence field/strength

Assessment

Statistical tests

Results

Data conclusion

Level of evidence

Publications

Consensus-Based Technical Recommendations for Clinical Translation of Renal Phase Contrast MRI.

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