Quality assurance multicenter comparison of different MR scanners for quantitative diffusion-weighted imaging

Belli, Giacomo; Busoni, S.; Ciccarone, Antonio; Coniglio, A.; Esposito, Marco; Giannelli, Marco; Mazzoni, Lorenzo Nicola; Nocetti, Luca; Sghedoni, Roberto; Tarducci, R.; Zatelli, G.; Anoja, R.A.; Belmonte, Gina; Bertolino, Nicola; Betti, M.; Biagini, C; Ciarmatori, A.; Cretti, Fabiola; Fabbri, E.; Fedeli, L.; Filice, Silvano; Fulcheri, C.; Gasperi, C.; Mangili, P.; Mazzocchi, S.; Meliadò, Gabriele; Morzenti, Sabrina; Noferini, L.; Oberhofer, Nadia; Orsingher, L.; Paruccini, Nicoletta; Princigalli, Goffredo; Quattrocchi, M.; Rinaldi, A.; Scelfo, Danilo; Freixas, G. Vilches; Tenori, Leonardo; Zucca, Ileana; Luchinat, Claudio; Gori, C.; Gobbi, G.

doi:10.1002/jmri.24956

Cited by 72 publications

(78 citation statements)

References 28 publications

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“…Hence studies assessing reproducibility of head and neck tissue [126,147,148] were also included in this review. Some studies used vendorindependent post-processing software packages to compute the ADC maps [56,125,126,137,140,148] while others used site-specific software packages either vendorspecific or locally developed [68,138,141,147] . Although some investigators demonstrated high variability in the measured ADC (27.1% for left liver lobe) with vendorindependent software packages [56] , others found less variability in the measured ADC using vendor-specific software [148] .…”

Section: Discussionmentioning

confidence: 99%

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Diffusion-weighted magnetic resonance imaging in cancer: Reported apparent diffusion coefficients,in-vitroandin-vivoreproducibility

Jafar

Parsaï

Miquel

2016

WJR

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There is considerable disparity in the published apparent diffusion coefficient (ADC) values across different anatomies. Institutions are increasingly assessing repeatability and reproducibility of the derived ADC to determine its variation, which could potentially be used as an indicator in determining tumour aggressiveness or assessing tumour response. In this manuscript, a review of selected articles published to date in healthy extracranial body diffusion-weighted magnetic resonance imaging is presented, detailing reported ADC values and discussing their variation across different studies. In total 115 studies were selected including 28 for liver parenchyma, 15 for kidney (renal parenchyma), 14 for spleen, 13 for pancreatic body, 6 for gallbladder, 13 for prostate, 13 for uterus (endometrium, myometrium, cervix) In addition, six phantom studies and thirteen in vivo studies were summarized to compare repeatability and reproducibility of the measured ADC. All selected phantom studies demonstrated lower intra-scanner and inter-scanner variation compared to in vivo studies. Based on the findings of this manuscript, it is recommended that protocols need to be optimised for the body part studied and that system-induced variability must be established using a standardized phantom in any clinical study. Reproducibility of the measured ADC must also be assessed in a volunteer population, as variations are far more significant in vivo compared with phantom studies. Core tip: Diffusion-weighted magnetic resonance imaging was highlighted as a potential cancer imaging biomarker by a team of experts in a report published in 2009. We review the variability of published diffusion values in the major extra-cranial organs and focus on the validation literature, both in vivo and in vitro . A total of 115 studies were selected including for liver parenchyma, kidney, pancreatic body, spleen, gallbladder, prostate, uterus (endometrium, myometrium, cervix) and breast. We also look in detail at the published repeatability and reproducibility studies, both in vivo and in phantoms. A series of recommendations based on our findings are given at the end of this review.Jafar MM, Parsai A, Miquel ME. Diffusion-weighted magnetic resonance imaging in cancer: Reported apparent diffusion coefficients, in vitro and in vivo reproducibility.

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Section: Discussionmentioning

confidence: 99%

“…Belli et al [140] . No parallel imaging technique was employed and vendor-independent software was used to generate the ADC maps.…”

Section: Reproducibility Of Adc Values In Vitromentioning

confidence: 98%

Diffusion-weighted magnetic resonance imaging in cancer: Reported apparent diffusion coefficients,in-vitroandin-vivoreproducibility

Jafar

Parsaï

Miquel

2016

WJR

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“…DW-MRI have been chosen because they can be used to compute maps of apparent diffusion coefficient (ADC), which have been shown to be very useful for tumor detection and characterization [11, 29, 30], evaluation of treatment response [5, 31], and tumor staging [8, 32]. Also, unlike other types of MRI, ADC maps have been shown to be useful to assess tumor cellularity, even across different scanners [33], provided that the same range of b values and the same field strength are used [34, 35]. …”

Section: Introductionmentioning

confidence: 99%

Assessment of Stability and Discrimination Capacity of Radiomic Features on Apparent Diffusion Coefficient Images

et al. 2018

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The objectives of the study are to develop a new way to assess stability and discrimination capacity of radiomic features without the need of test-retest or multiple delineations and to use information obtained to perform a preliminary feature selection. Apparent diffusion coefficient (ADC) maps were computed from diffusion-weighted magnetic resonance images (DW-MRI) of two groups of patients: 18 with soft tissue sarcomas (STS) and 18 with oropharyngeal cancers (OPC). Sixty-nine radiomic features were computed, using three different histogram discretizations (16, 32, and 64 bins). Geometrical transformations (translations) of increasing entity were applied to the regions of interest (ROIs), and the intra-class correlation coefficient (ICC) was used to compare the features computed on the original and modified ROIs. The distribution of ICC values for minimal and maximal entity translations (ICC10 and ICC100, respectively) was used to adjust thresholds of ICC (ICCmin and ICCmax) used to discriminate between good, unstable (ICC10 < ICCmin), and non-discriminative features (ICC100 > ICCmax). Fifty-four and 59 radiomic features passed the stability-based selection for all the three histogram discretizations for the OPC and STS datasets, respectively. The excluded features were similar across the different histogram discretizations (Jaccard’s index 0.77 ± 0.13 and 0.9 ± 0.1 for OPC and STS, respectively) but different between datasets (Jaccard’s index 0.19 ± 0.02). The results suggest that the observed radiomic features are mainly stable and discriminative, but the stability depends on the region of the body under observation. The method provides a way to assess stability without the need of test-retest or multiple delineations.Electronic supplementary materialThe online version of this article (10.1007/s10278-018-0092-9) contains supplementary material, which is available to authorized users.

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“…In this study, we acquired imaging data using the thickness of 5 mm in the axial images and 3 mm in the sagittal images. Third, previous study by Belli et al 25 demonstrated that a good agreement on ADC measurement was obtained over all the MRI centers. However, we did not explore whether the cut-off point of ADC value for epithelial tissue and carcinoma was reproducible for other 3.0 Tor 1.5 T MRI units.…”

Section: Discussionmentioning

confidence: 74%

The Value of Diffusion-Weighted Imaging in Combination With Conventional Magnetic Resonance Imaging for Improving Tumor Detection for Early Cervical Carcinoma Treated With Fertility-Sparing Surgery

Song³

2017

International Journal of Gynecological Cancer

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Quality assurance multicenter comparison of different MR scanners for quantitative diffusion-weighted imaging

Abstract: A specific and widely accepted protocol for quality controls in DWI is still lacking. The DWI quality assurance protocol proposed in this study can be applied in order to assess the reliability of DWI-derived indices before tackling single- as well as multicenter studies.

Cited by 72 publications

References 28 publications

Diffusion-weighted magnetic resonance imaging in cancer: Reported apparent diffusion coefficients,in-vitroandin-vivoreproducibility

Diffusion-weighted magnetic resonance imaging in cancer: Reported apparent diffusion coefficients,in-vitroandin-vivoreproducibility

Assessment of Stability and Discrimination Capacity of Radiomic Features on Apparent Diffusion Coefficient Images

The Value of Diffusion-Weighted Imaging in Combination With Conventional Magnetic Resonance Imaging for Improving Tumor Detection for Early Cervical Carcinoma Treated With Fertility-Sparing Surgery

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