Noncontrast Pediatric Brain Perfusion

Wang, Danny J.J.; Bihan, Denis Le; Krishnamurthy, Ram; Smith, Mark A.; Ho, Mai‐Lan

doi:10.1016/j.mric.2021.06.002

Cited by 5 publications

(4 citation statements)

References 217 publications

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“…The reasons for these results can be easily surmised when the similarity of the mechanisms underlying the models for those previously described are considered. 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 Our results for the in vitro and in vivo studies demonstrate that ADC and D measurements for DWI with b values equal to or less than 1500 s/mm 2 can be assumed to have no effect on DLR in this setting. However, b values of more than 1500 s/mm 2 should be used carefully because these values might have some effect on the DLR results when considering the results of DWI for detecting prostate cancer, for which b values equal to or more than 3000 s/mm 2 and DLR are used.…”

Section: Discussionmentioning

confidence: 61%

“… 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 Moreover, in the late 1980s, Le Bihan et al 11 developed intravoxel incoherent motion (IVIM), a non-invasive approach that measures perfusion-related parameters using diffusion-weighted imaging (DWI) for MR examinations. 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 This method exploits the fact that the signal acquired using a DWI sequence is affected by the incoherent motion of water resulting not only from thermal energy but also blood circulation in the microvasculature. 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 To date, however, no studies have evaluated the efficacy of DLR for apparent diffusion coefficient (ADC) evaluation or IVIM index assessments in in vivo or in vitro studies.…”

mentioning

confidence: 99%

“… 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 This method exploits the fact that the signal acquired using a DWI sequence is affected by the incoherent motion of water resulting not only from thermal energy but also blood circulation in the microvasculature. 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 To date, however, no studies have evaluated the efficacy of DLR for apparent diffusion coefficient (ADC) evaluation or IVIM index assessments in in vivo or in vitro studies.…”

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confidence: 99%

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Deep learning reconstruction for brain diffusion-weighted imaging: efficacy for image quality improvement, apparent diffusion coefficient assessment, and intravoxel incoherent motion evaluation in in vitro and in vivo studies

Hanamatsu

Murayama

Ohno

et al. 2023

dir

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PURPOSE Deep learning reconstruction (DLR) to improve imaging quality has already been introduced, but no studies have evaluated the effect of DLR on diffusion-weighted imaging (DWI) or intravoxel incoherent motion (IVIM) in in vitro or in vivo studies. The purpose of this study was to determine the effect of DLR for magnetic resonance imaging (MRI) in terms of image quality improvement, apparent diffusion coefficient (ADC) assessment, and IVIM index evaluation on DWI through in vitro and in vivo studies. METHODS For the in vitro study, a phantom recommended by the Quantitative Imaging Biomarkers Alliance was scanned and reconstructed with and without DLR, and 15 patients with brain tumors with normal-appearing gray and white matter examined using IVIM and reconstructed with and without DLR were included in the in vivo study. The ADCs of all phantoms for DWI with and without DLR, as well as the coefficient of variation percentage (CV%), and ADCs and IVIM indexes for each participant, were evaluated based on DWI with and without DLR by means of region-of-interest measurements. For the in vitro study, using the mean ADCs for all phantoms, a t-test was adopted to compare DWI with and without DLR. For the in vivo study, a Wilcoxon signed-rank test was used to compare the CV% between the two types of DWI. In addition, the Wilcoxon signed-rank test was used to compare the ADC, true diffusion coefficient ( D ), pseudodiffusion coefficient ( D* ), and percentage of water molecules in micro perfusion within 1 voxel ( f ) with and without DLR; the limits of agreement of each parameter were determined through a Bland–Altman analysis. RESULTS The in vitro study identified no significant differences between the ADC values for DWI with and without DLR ( P > 0.05), and the CV% was significantly different for DWI with and without DLR ( P < 0.05) when b values ≥250 s/mm 2 were used. The in vivo study revealed that D* and f with and without DLR were significantly different ( P < 0.001). The limits of agreement of the ADC, D , and D* values for DWI with and without DLR were determined as 0.00 ± 0.51 × 10 -3 , 0.00 ± 0.06 × 10 -3 , and 1.13 ± 4.04 × 10-3 mm 2 /s, respectively. The limits of agreement of the f values for DWI with and without DLR were determined as −0.01 ± 0.07. CON...

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Section: Discussionmentioning

confidence: 61%

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confidence: 99%

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confidence: 99%

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Deep learning reconstruction for brain diffusion-weighted imaging: efficacy for image quality improvement, apparent diffusion coefficient assessment, and intravoxel incoherent motion evaluation in in vitro and in vivo studies

Hanamatsu

Murayama

Ohno

et al. 2023

dir

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“…On the contrary, if molecular hindrances are to be analyzed by means of diffusional kurtosis model, is necessary to increase the maximum b-value (>2000 mm 2 /s), without sampling low bvalues DWI signal (<200 mm 2 /s). Details on the link between different water diffusivity regimes, DWI signal and b-values, can be found here [125].…”

Section: Sources Of Errors Optimization Strategies and Qamentioning

confidence: 99%

A Review on the Use of Imaging Biomarkers in Oncology Clinical Trials: Quality Assurance Strategies for Technical Validation

Chauvie,

Mazzoni,

O’Doherty

2023

Tomography

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Imaging biomarkers (IBs) have been proposed in medical literature that exploit images in a quantitative way, going beyond the visual assessment by an imaging physician. These IBs can be used in the diagnosis, prognosis, and response assessment of several pathologies and are very often used for patient management pathways. In this respect, IBs to be used in clinical practice and clinical trials have a requirement to be precise, accurate, and reproducible. Due to limitations in imaging technology, an error can be associated with their value when considering the entire imaging chain, from data acquisition to data reconstruction and subsequent analysis. From this point of view, the use of IBs in clinical trials requires a broadening of the concept of quality assurance and this can be a challenge for the responsible medical physics experts (MPEs). Within this manuscript, we describe the concept of an IB, examine some examples of IBs currently employed in clinical practice/clinical trials and analyze the procedure that should be carried out to achieve better accuracy and reproducibility in their use. We anticipate that this narrative review, written by the components of the EFOMP working group on “the role of the MPEs in clinical trials”-imaging sub-group, can represent a valid reference material for MPEs approaching the subject.

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Arterial spin-labeled (ASL) perfusion in children with Sturge-Weber syndrome: a retrospective cross-sectional study

Clifford,

Ghosh,

Zandifar

et al. 2023

Neuroradiology

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Noncontrast Pediatric Brain Perfusion

Cited by 5 publications

References 217 publications

Deep learning reconstruction for brain diffusion-weighted imaging: efficacy for image quality improvement, apparent diffusion coefficient assessment, and intravoxel incoherent motion evaluation in <i>in vitro</i> and <i>in vivo</i> studies

Deep learning reconstruction for brain diffusion-weighted imaging: efficacy for image quality improvement, apparent diffusion coefficient assessment, and intravoxel incoherent motion evaluation in <i>in vitro</i> and <i>in vivo</i> studies

A Review on the Use of Imaging Biomarkers in Oncology Clinical Trials: Quality Assurance Strategies for Technical Validation

Arterial spin-labeled (ASL) perfusion in children with Sturge-Weber syndrome: a retrospective cross-sectional study

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