Functional Evaluation of Transplanted Kidneys with Diffusion-weighted and BOLD MR Imaging: Initial Experience

Thoeny, Harriet C.; Zumstein, Dominik; Simon-Zoula, Sonja; Eisenberger, Ute; Keyzer, Frederik De; Hofmann, Lucie; Vock, Peter; Boesch, Chris; Frey, Felix J.; Vermathen, Peter

doi:10.1148/radiol.2413060103

Cited by 241 publications

(299 citation statements)

References 32 publications

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“…calculated the PF with the diffusion-weighted images at b-values of 0, 500, and 1000 sec/mm 2 on the viewer, in accord with previous reports (10,11). An operator-defined circular region of interest (ROI) was set on each lesion on one of the images to measure the mean signal intensities.…”

Section: Image Processing and Analysissupporting

confidence: 71%

“…The PF will be particularly helpful when contrast materials cannot be used, such as in pregnant women, patients with renal insufficiency, and patients with allergic reactions to gadolinium. To calculate the PF it is necessary to obtain diffusion-weighted images at multiple b-values (10,11). Diffusion-weighted images at low b-values reflect both diffusion and perfusion while those at high b-values reflect only diffusion (9).…”

Section: Discussionmentioning

confidence: 99%

“…Accuracy of the PF data increases as b-values increase. However, image acquisition times also increase proportionally (10,11). We used three bvalues of 0, 500, and 1000 sec/mm 2 The PF of fat was not uniform.…”

Section: Discussionmentioning

confidence: 99%

“…The PF can be calculated by separating the microcirculation and diffusion contributions with a biexponential fitting, assuming fast-and slow-decaying components with increasing b-values. Recent reports show that the PF reflects the contribution of the microcirculation of blood and movements in predefined structures of transplanted kidneys, which were previously difficult to evaluate without using contrast materials (10,11). We hypothesized that if the PF could be used to determine if a tissue has blood supply, it might aid in characterizing tumors.…”

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confidence: 99%

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Perfusion fraction of diffusion‐weighted MRI for predicting the presence of blood supply in ovarian masses

Morita

Kojima

Hirata

et al. 2011

Magnetic Resonance Imaging

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Purpose: To evaluate whether perfusion fraction (PF) calculated with diffusion-weighted magnetic resonance imaging (MRI) predicts the presence of blood supply in ovarian masses. Materials and Methods:PFs of 92 ovarian lesions in 53 patients administered gadolinium were retrospectively calculated with diffusion-weighted images at b-values of 0, 500, and 1000 sec/mm 2 . PFs were compared between ovarian lesions, except for fat, with (n ¼ 21) or without contrast enhancement (n ¼ 57), using Student's t-test and receiver operating characteristics (ROC) curve analysis. Lesion enhancement rates of contrast-enhanced images at 30 and 180 seconds after gadolinium injection (ER 30sec and ER 180sec ) and PFs were compared using Pearson's correlation coefficient.Results: PFs of the lesions with contrast enhancement were significantly higher than those without contrast enhancement (0.22 6 0.09 and 0.02 6 0.08, respectively, P < 0.0001). The ROC curve identified the best cutoff point for PF at 0.135 (95.2% sensitivity and 94.7% specificity) as a predictor of the contrast enhancement effect. The area under the ROC curve was 0.984. PF correlated moderately with ER 30sec (0.62, y ¼ 0.13x þ 0.04, P < 0.0001) and ER 180sec (0.74, y ¼ 0.13x þ 0.03, P < 0.0001).Conclusion: PF calculated with diffusion-weighted images can potentially predict blood supply in ovarian masses.

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Section: Image Processing and Analysissupporting

confidence: 71%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

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Perfusion fraction of diffusion‐weighted MRI for predicting the presence of blood supply in ovarian masses

Morita

Kojima

Hirata

et al. 2011

Magnetic Resonance Imaging

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“…[4][5][6] Its derived quantitative parameter, the apparent diffusion coefficient (ADC) parameter, documents changes like fibrosis or edema. Moreover, DWI may also provide information on concurrent micro-circulation, including capillary perfusion, quantified with the "fraction of the perfusion" (F P ).…”

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confidence: 99%

Diffusion tensor imaging of the human kidney: Does image registration permit scanning without respiratory triggering?

Seif

Mani

et al. 2016

Magnetic Resonance Imaging

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Purpose: To investigate if image registration of diffusion tensor imaging (DTI) allows omitting respiratory triggering for both transplanted and native kidneys Materials and Methods: Nine kidney transplant recipients and eight healthy volunteers underwent renal DTI on a 3T scanner with and without respiratory triggering. DTI images were registered using a multimodal nonrigid registration algorithm. Apparent diffusion coefficient (ADC), the contribution of perfusion (F P ), and the fractional anisotropy (FA) were determined. Relative root mean square errors (RMSE) of the fitting and the standard deviations of the derived parameters within the regions of interest (SD ROI ) were evaluated as quality criteria. Results: Registration significantly reduced RMSE in all DTI-derived parameters of triggered and nontriggered measurements in cortex and medulla of both transplanted and native kidneys (P < 0.05 for all). In addition, SD ROI values were lower with registration for all 16 parameters in transplanted kidneys (14 of 16 SD ROI values were significantly reduced, P < 0.04) and for 15 of 16 parameters in native kidneys (9 of 16 SD ROI values were significantly reduced, P < 0.05). Comparing triggered versus nontriggered DTI in transplanted kidneys revealed no significant difference for RMSE (P > 0.14) and for SD ROI (P > 0.13) of all parameters. In contrast, in native kidneys relative RMSE from triggered scans were significantly lower than those from nontriggered scans (P < 0.02), while SD ROI was slightly higher in triggered compared to nontriggered measurements in 15 out of 16 comparisons (significantly for two, P < 0.05). Conclusion: Registration improves the quality of DTI in native and transplanted kidneys. Diffusion parameters in renal allografts can be measured without respiratory triggering. In native kidneys, respiratory triggering appears advantageous.

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Magnetic Resonance Imaging of the Kidney

Triantafyllou

Keyzer²,

Thoeny

1996

eMagRes

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Functional Evaluation of Transplanted Kidneys with Diffusion-weighted and BOLD MR Imaging: Initial Experience

Abstract: DW and BOLD MR imaging are feasible and reproducible in patients with renal allografts.

Cited by 241 publications

References 32 publications

Perfusion fraction of diffusion‐weighted MRI for predicting the presence of blood supply in ovarian masses

Perfusion fraction of diffusion‐weighted MRI for predicting the presence of blood supply in ovarian masses

Diffusion tensor imaging of the human kidney: Does image registration permit scanning without respiratory triggering?

Magnetic Resonance Imaging of the Kidney

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