Linearization improves the repeatability of quantitative dynamic contrast-enhanced MRI

Jones, Kyle M.; Pagel, Mark; Cárdenas-Rodríguez, Julio

doi:10.1016/j.mri.2017.11.002

Cited by 11 publications

(5 citation statements)

References 38 publications

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“…9,10,21,26 One of these studies examined FTV obtained using a manual segmentation method aided with visualization of SER maps and reported a slight improvement in predictive performance for volumes measured using this method. 23 Although segmentation in the current study was performed on early phase subtractions by referencing PE instead of SER, the ETV measurements were similar to those reported by Henderson et al 23 Because the setup and contrast injection protocols are fairly standardized across institutions and the semi-quantitative DCE MRI measurements have shown strong reproducibility, the FTV measurements in the current study were comparable to those obtained in other studies using a semi-automatic tool 28,29 .…”

Section: Discussionsupporting

confidence: 85%

Functional Tumor Volume by Fast DynamicContrast‐Enhanced MRIfor Predicting Neoadjuvant Systemic Therapy Response inTriple‐NegativeBreast Cancer

Musall

Abdelhafez

Adrada

et al. 2021

Magnetic Resonance Imaging

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Background: Dynamic contrast-enhanced (DCE) MRI is useful for diagnosis and assessment of treatment response in breast cancer. Fast DCE MRI offers a higher sampling rate of contrast enhancement curves in comparison to conventional DCE MRI, potentially characterizing tumor perfusion kinetics more accurately for measurement of functional tumor volume (FTV) as a predictor of treatment response. Purpose: To investigate FTV by fast DCE MRI as a predictor of neoadjuvant systemic therapy (NAST) response in triplenegative breast cancer (TNBC). Study Type: Prospective. Population/Subjects: Sixty patients with biopsy-confirmed TNBC between December 2016 and September 2020. Field Strength/Sequence: A 3.0 T/3D fast spoiled gradient echo-based DCE MRI Assessment: Patients underwent MRI at baseline and after four cycles (C4) of NAST, followed by definitive surgery. DCE subtraction images were analyzed in consensus by two breast radiologists with 5 (A.H.A.) and 2 (H.S.M.) years of experience. Tumor volumes (TV) were measured on early and late subtractions. Tumors were segmented on 1 and 2.5-minute early phases subtractions and FTV was determined using optimized signal enhancement thresholds. Interpolated enhancement curves from segmented voxels were used to determine optimal early phase timing. Statistical Tests: Tumor volumes were compared between patients who had a pathologic complete response (pCR) and those who did not using the area under the receiver operating curve (AUC) and Mann-Whitney U test. Results: About 26 of 60 patients (43%) had pCR. FTV at 1 minute after injection at C4 provided the best discrimination between pCR and non-pCR, with AUC (95% confidence interval [CI]) = 0.85 (0.74,0.95) (P < 0.05). The 1-minute timing was optimal for FTV measurements at C4 and for the change between C4 and baseline. TV from the early phase at C4 also yielded a good AUC (95%CI) of 0.82 (0.71,0.93) (P < 0.05).

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Section: Discussionsupporting

confidence: 85%

Functional Tumor Volume by Fast DynamicContrast‐Enhanced MRIfor Predicting Neoadjuvant Systemic Therapy Response inTriple‐NegativeBreast Cancer

Musall

Abdelhafez

Adrada

et al. 2021

Magnetic Resonance Imaging

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“…-50 Rata et al51 reported a lower wCV of 7.5% when using a population AIF in a group of patients with abdominal tumors. To improve the accuracy of TK estimation, the promising approach presented by Brynolfsson et al 52 could be used, where they showed with simulated data that the concentration values…”

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confidence: 99%

Improved repeatability of dynamic contrast‐enhanced MRI using the complex MRI signal to derive arterial input functions: a test‐retest study in prostate cancer patients

Klawer

Houdt

Simonis

et al. 2019

Magnetic Resonance in Med

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Purpose The arterial input function (AIF) is a major source of uncertainty in tracer kinetic (TK) analysis of dynamic contrast‐enhanced (DCE)‐MRI data. The aim of this study was to investigate the repeatability of AIFs extracted from the complex signal and of the resulting TK parameters in prostate cancer patients. Methods Twenty‐two patients with biopsy‐proven prostate cancer underwent a 3T MRI exam twice. DCE‐MRI data were acquired with a 3D spoiled gradient echo sequence. AIFs were extracted from the magnitude of the signal (AIF MAGN ), phase (AIF PHASE ), and complex signal (AIF COMPLEX ). The Tofts model was applied to extract K trans , k ep and v e . Repeatability of AIF curve characteristics and TK parameters was assessed with the within‐subject coefficient of variation (wCV). Results The wCV for peak height and full width at half maximum for AIF COMPLEX (7% and 8%) indicated an improved repeatability compared to AIF MAGN (12% and 12%) and AIF PHASE (12% and 7%). This translated in lower wCV values for K trans (11%) with AIF COMPLEX in comparison to AIF MAGN (24%) and AIF PHASE (15%). For k ep , the wCV was 16% with AIF MAGN , 13% with AIF PHASE , and 13% with AIF COMPLEX . Conclusion Repeatability of AIF PHASE and AIF COMPLEX is higher than for AIF MAGN , resulting in a better repeatability of TK parameters. Thus, use of either AIF PHASE or AIF COMPLEX improves the robustness of quantitative analysis of DCE‐MRI in prostate cancer.

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“…All data were corrected for geometrical distortions due to susceptibility effects ( Andersson et al, 2003 ) and gradient nonlinearities. ( Glasser et al, 2013 , Jones et al, 2018 , Setsompop et al, 2013 ) Spatially varying effective b-values to account for gradient nonlinearities were also computed. ( Bammer et al, 2003 ).…”

Section: Methodsmentioning

confidence: 99%

Ultra-strong diffusion-weighted MRI reveals cerebellar grey matter abnormalities in movement disorders

Tax

Genc

MacIver

et al. 2023

NeuroImage: Clinical

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Linearization improves the repeatability of quantitative dynamic contrast-enhanced MRI

Abstract: In simulations and experimental results, linearization improves the repeatability of quantitative DCE-MRI by at least 30%, making it as repeatable as semi-quantitative metrics.

Cited by 11 publications

References 38 publications

Functional Tumor Volume by Fast DynamicContrast‐Enhanced MRIfor Predicting Neoadjuvant Systemic Therapy Response inTriple‐NegativeBreast Cancer

Functional Tumor Volume by Fast DynamicContrast‐Enhanced MRIfor Predicting Neoadjuvant Systemic Therapy Response inTriple‐NegativeBreast Cancer

Improved repeatability of dynamic contrast‐enhanced MRI using the complex MRI signal to derive arterial input functions: a test‐retest study in prostate cancer patients

Ultra-strong diffusion-weighted MRI reveals cerebellar grey matter abnormalities in movement disorders

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