Dependence of apparent diffusion coefficient measurement on diffusion gradient direction and spatial position – A quality assurance intercomparison study of forty-four scanners for quantitative diffusion-weighted imaging

Fedeli, L.; Belli, Giacomo; Ciccarone, Antonio; Coniglio, A.; Esposito, Marco; Giannelli, Marco; Mazzoni, Lorenzo Nicola; Nocetti, Luca; Sghedoni, Roberto; Tarducci, R.; Altabella, Luisa; Belligotti, E.; Benelli, Matteo; Betti, M.; Caivano, Rocchina; Carnì, Marco; Chiappiniello, Andrea; Cimolai, S.; Cretti, Fabiola; Fulcheri, C.; Gasperi, C.; Giacometti, M.; Levréro, Florence; Lizio, Domenico; Maieron, Marta; Marzi, Simona; Mascaro, Lorella; Mazzocchi, S.; Meliadò, Gabriele; Morzenti, Sabrina; Noferini, L.; Oberhofer, Nadia; Quattrocchi, M.; Rıccı, Alessandra; Taddeucci, A.; Tenori, Leonardo; Luchinat, Claudio; Gobbi, G.; Gori, C.; Busoni, S.

doi:10.1016/j.ejmp.2018.09.007

Cited by 33 publications

(44 citation statements)

References 27 publications

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“…This further confirms that the parameters of these two sequences cannot be directly substituted for each other. Consequently, the use of a specific quality assurance protocol as that proposed in the recent paper [ 18 ] is deeply recommended, in order to guarantee the clinical applications of the parameters of these two sequences.…”

Section: Discussionmentioning

confidence: 99%

Values of Apparent Diffusion Coefficient and Lesion-to-Spinal Cord Signal Intensity in Diagnosing Solitary Pulmonary Lesions: Turbo Spin-Echo versus Echo-Planar Imaging Diffusion-Weighted Imaging

Lei

Wan

Liu

et al. 2021

BioMed Research International

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Objective. This study is aimed at comparing the image quality and diagnostic performance of mean apparent diffusion coefficient (ADC) and lesion-to-spinal cord signal intensity ratio (LSR) derived from turbo spin-echo diffusion-weighted imaging (TSE-DWI) and echo-planar imaging- (EPI-) DWI in patients with a solitary pulmonary lesion (SPL). Methods. 33 patients with SPL underwent chest imaging using EPI-DWI and TSE-DWI with b = 600 s/mm2 in free breathing. A comparison of the distortion ratio (DR), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) was drawn between the two techniques using a Wilcoxon signed-rank test. The interprotocol reproducibility between quantitative parameters of EPI-DWI and TSE-DWI was evaluated using a Bland-Altman plot. ADCs and LSRs derived from EPI-DWI and TSE-DWI were calculated and compared between malignant and benign groups using the Mann–Whitney test. Results. TSE-DWI had similar SNR and CNR compared with EPI-DWI. DR was significantly lower on TSE-DWI than EPI-DWI. ADC and LSR showed slightly higher values with TSE-DWI, while the Bland-Altman analysis showed unacceptable limits of agreement between the two sequences. ADC and LSR of both DWI techniques differed significantly between lung cancer and benign lesions ( P < 0.05 ). The LSR(EPI-DWI) showed the highest area under the curve ( AUC = 0.818 ), followed by ADC(EPI-DWI) ( AUC = 0.789 ), ADC(TSE-DWI) ( AUC = 0.781 ), and LSR(TSE-DWI) ( AUC = 0.748 ), respectively. Among these parameters, the difference in diagnostic accuracy was not statistically significant. Conclusions. TSE-DWI provides significantly improved image quality in patients with SPL as compared with EPI-DWI. However, there was no difference in diagnostic efficacy between these two techniques, according to ADC and LSR.

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Section: Discussionmentioning

confidence: 99%

Values of Apparent Diffusion Coefficient and Lesion-to-Spinal Cord Signal Intensity in Diagnosing Solitary Pulmonary Lesions: Turbo Spin-Echo versus Echo-Planar Imaging Diffusion-Weighted Imaging

Lei

Wan

Liu

et al. 2021

BioMed Research International

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“…A major limitation of the present study is the lack of a systematic quality assurance (QA) protocol for checking accuracy of DWI scans in our clinical scanner. A QA protocol for DWI serves to ensure and maintain the reliability of quantitative diffusion measurements [33,34]. A recent QA study [33] among 44 MRI scanners in various institutions has reported a wide variability in ADC accuracy and spatial uniformity, depending on sequence implementation (i.e.…”

Section: Discussionmentioning

confidence: 99%

“…A QA protocol for DWI serves to ensure and maintain the reliability of quantitative diffusion measurements [33,34]. A recent QA study [33] among 44 MRI scanners in various institutions has reported a wide variability in ADC accuracy and spatial uniformity, depending on sequence implementation (i.e. gradient diffusion direction), spatial position and MRI scanner model.…”

Section: Discussionmentioning

confidence: 99%

A comparative study of methods for determining Intravoxel incoherent motion parameters in cervix cancer

et al. 2021

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Background To compare different fitting methods for determining IVIM (Intravoxel Incoherent Motion) parameters and to determine whether the use of different IVIM fitting methods would affect differentiation of cervix cancer from normal cervix tissue. Methods Diffusion-weighted echo-planar imaging of 30 subjects was performed on a 3.0 T scanner with b-values of 0, 30, 100, 200, 400, 1000 s/mm2. IVIM parameters were estimated using the segmented (two-step) fitting method and by simultaneous fitting of a bi-exponential function. Segmented fitting was performed using two different cut-off b-values (100 and 200 s/mm2) to study possible variations due to the choice of cut-off. Friedman’s test and Student’s t-test were respectively used to compare IVIM parameters derived from different methods, and between cancer and normal tissues. Results No significant difference was found between IVIM parameters derived from the segmented method with b-value cutoff of 200 s/mm2 and the simultaneous fitting method (P>0.05). Tissue diffusivity (D) and perfusion fraction (f) were significantly lower in cervix cancer than normal tissue (P< 0.05). Conclusions IVIM parameters derived using fitting methods with small cutoff b-values could be different, however, the segmented method with b-value cutoff of 200 s/mm2 are consistent with the simultaneous fitting method and both can be used to differentiate between cervix cancer and normal tissue.

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“…In additional, in this single-center study, although an identical scanner, imaging protocol, and receiver coil were used for a given patient, we did not carry out the correction for nonlinearity of diffusion gradient for DKI, which may potentially affect accuracy of DKI-related quantitative measurement, especially in longitudinal study [ 28 , 29 ]. In the future, we will employ the DWI quality assurance protocol that Fedeli et al recommended to further improve DKI accuracy and standardization [ 30 ].…”

Section: Discussionmentioning

confidence: 99%

Diffusion Kurtosis Imaging as a Prognostic Marker in Osteosarcoma Patients with Preoperative Chemotherapy

Liu

Xing

Wei

et al. 2020

BioMed Research International

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Background. The accurate prediction of prognosis is key to prompt therapy adjustment. The purpose of our study was to investigate the efficacy of diffusion kurtosis imaging (DKI) in predicting progression-free survival (PFS) and overall survival (OS) in osteosarcoma patients with preoperative chemotherapy. Methods. Thirty patients who underwent DKI before and after chemotherapy, followed by tumor resection, were retrospectively enrolled. The patients were grouped into good responders (GRs) and poor responders (PRs). The Kaplan-Meier and log-rank test were used for survival analysis. The association between the DKI parameters and OS and PFS was performed by univariate and multivariate Cox proportional hazards models. Results. Significantly worse OS and PFS were associated with a lower mean diffusivity (MD) after chemotherapy (HR, 5.8; 95% CI, 1.5-23.1; P=0.012 and HR, 3.5; 95% CI, 1.2-10.1: P=0.028, respectively) and a higher mean kurtosis (MK) after chemotherapy (HR, 0.3; 95% CI, 0.1-0.9; P=0.041 and HR, 0.3; 95% CI, 0.1-0.8; P=0.049, respectively). Likewise, shorter OS and PFS were also significantly associated with a change rate in MD (CR MD) of less than 13.53% (HR, 8.6; 95% CI, 1.8-41.8; P=0.007 and HR, 2.9; 95% CI, 1.0-8.2; P=0.045, respectively). Compared to GRs, PRs had an approximately 9- and 4-fold increased risk of death (HR, 9.4; 95% CI, 1.2-75; P=0.034) and progression (HR, 4.2; 95% CI, 1.2-15; P=0.026), respectively. Conclusions. DKI has a potential to be a prognostic tool in osteosarcoma. Low MK and high MD after chemotherapy or high CR MD indicates favorite outcome, while prospective studies with large sample sizes are warranted.

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Dependence of apparent diffusion coefficient measurement on diffusion gradient direction and spatial position – A quality assurance intercomparison study of forty-four scanners for quantitative diffusion-weighted imaging

Cited by 33 publications

References 27 publications

Values of Apparent Diffusion Coefficient and Lesion-to-Spinal Cord Signal Intensity in Diagnosing Solitary Pulmonary Lesions: Turbo Spin-Echo versus Echo-Planar Imaging Diffusion-Weighted Imaging

Values of Apparent Diffusion Coefficient and Lesion-to-Spinal Cord Signal Intensity in Diagnosing Solitary Pulmonary Lesions: Turbo Spin-Echo versus Echo-Planar Imaging Diffusion-Weighted Imaging

A comparative study of methods for determining Intravoxel incoherent motion parameters in cervix cancer

Diffusion Kurtosis Imaging as a Prognostic Marker in Osteosarcoma Patients with Preoperative Chemotherapy

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