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Utilizing magnetization transfer imaging to investigate tissue remodeling in a murine model of autosomal dominant polycystic kidney disease

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ABSTRACT

Purpose: Noninvasive imaging techniques that quantify renal tissue composition are needed to more accurately ascertain prognosis and monitor disease progression in polycystic kidney disease (PKD). Given the success of magnetization transfer (MT) imaging to characterize various tissue remodeling pathologies, it was tested on a murine model of autosomal dominant PKD.

Methods: C57Bl/6 Pkd1 R3277C mice at 9, 12, and 15 months were imaged with a 16.4T MR imaging system. Images were acquired without and with RF saturation in order to calculate MT ratio (MTR) maps. Following imaging, the mice were euthanized and kidney sections were analyzed for cystic and fibrotic indices, which were compared with statistical parameters of the MTR maps.

Results: The MTR‐derived mean, median, 25th percentile, skewness, and kurtosis were all closely related to indices of renal pathology, including kidney weight/body weight, cystic index, and percent of remaining parenchyma. The correlation between MTR and histology‐derived cystic and fibrotic changes was R2 = 0.84 and R2 = 0.70, respectively.

Magn reson med 75:1466–1473, 2016. © 2015 the authors. magnetic resonance in medicine published by wiley periodicals, inc. on behalf of international society for magnetic resonance.: MT imaging provides a new, noninvasive means of measuring tissue remodeling PKD changes and may be better suited for characterizing renal impairment compared with conventional MR techniques.

No MeSH data available.


A: Cystic index computed by the GMM approach on MTR images correlated with that measured by histology. Distinguishing the different tissues on MT by the GMM approach had very high accuracy at measuring the degree of cystic burden of each specimen. B: Using a two‐tissue GMM approach, the skewness of the P‐F tissue class was computed and correlated with the measured fibrotic index (obtained from the picrosirius red histology measurement). This correlation was very similar when compared with the Masson's trichrome–derived fibrotic index.
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mrm25701-fig-0003: A: Cystic index computed by the GMM approach on MTR images correlated with that measured by histology. Distinguishing the different tissues on MT by the GMM approach had very high accuracy at measuring the degree of cystic burden of each specimen. B: Using a two‐tissue GMM approach, the skewness of the P‐F tissue class was computed and correlated with the measured fibrotic index (obtained from the picrosirius red histology measurement). This correlation was very similar when compared with the Masson's trichrome–derived fibrotic index.

Mentions: Using the GMM approach, we were able to closely measure cystic index and correlate fibrotic index values from the MT images. The comparison between cystic indices as measured by MT imaging (using the GMM approach) versus that found by histology is presented in Figure 3A. Figure 3B shows the results of comparing the skewness of the P‐F tissue distribution found in MT imaging with the fibrotic index measured by picrosirius red–stained histology images. The correlation for cystic changes (R2 = 0.84, P ≪ 0.01) and fibrotic changes (R2 = 0.70, P ≪ 0.01) was good. In addition, for specimens having a fibrotic index greater than 7%, a right‐handed skewness (greater than 0) was obtained in all cases.


Utilizing magnetization transfer imaging to investigate tissue remodeling in a murine model of autosomal dominant polycystic kidney disease
A: Cystic index computed by the GMM approach on MTR images correlated with that measured by histology. Distinguishing the different tissues on MT by the GMM approach had very high accuracy at measuring the degree of cystic burden of each specimen. B: Using a two‐tissue GMM approach, the skewness of the P‐F tissue class was computed and correlated with the measured fibrotic index (obtained from the picrosirius red histology measurement). This correlation was very similar when compared with the Masson's trichrome–derived fibrotic index.
© Copyright Policy - creativeCommonsBy-nc
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4644111&req=5

mrm25701-fig-0003: A: Cystic index computed by the GMM approach on MTR images correlated with that measured by histology. Distinguishing the different tissues on MT by the GMM approach had very high accuracy at measuring the degree of cystic burden of each specimen. B: Using a two‐tissue GMM approach, the skewness of the P‐F tissue class was computed and correlated with the measured fibrotic index (obtained from the picrosirius red histology measurement). This correlation was very similar when compared with the Masson's trichrome–derived fibrotic index.
Mentions: Using the GMM approach, we were able to closely measure cystic index and correlate fibrotic index values from the MT images. The comparison between cystic indices as measured by MT imaging (using the GMM approach) versus that found by histology is presented in Figure 3A. Figure 3B shows the results of comparing the skewness of the P‐F tissue distribution found in MT imaging with the fibrotic index measured by picrosirius red–stained histology images. The correlation for cystic changes (R2 = 0.84, P ≪ 0.01) and fibrotic changes (R2 = 0.70, P ≪ 0.01) was good. In addition, for specimens having a fibrotic index greater than 7%, a right‐handed skewness (greater than 0) was obtained in all cases.

View Article: PubMed Central - PubMed

ABSTRACT

Purpose: Noninvasive imaging techniques that quantify renal tissue composition are needed to more accurately ascertain prognosis and monitor disease progression in polycystic kidney disease (PKD). Given the success of magnetization transfer (MT) imaging to characterize various tissue remodeling pathologies, it was tested on a murine model of autosomal dominant PKD.

Methods: C57Bl/6 Pkd1 R3277C mice at 9, 12, and 15 months were imaged with a 16.4T MR imaging system. Images were acquired without and with RF saturation in order to calculate MT ratio (MTR) maps. Following imaging, the mice were euthanized and kidney sections were analyzed for cystic and fibrotic indices, which were compared with statistical parameters of the MTR maps.

Results: The MTR‐derived mean, median, 25th percentile, skewness, and kurtosis were all closely related to indices of renal pathology, including kidney weight/body weight, cystic index, and percent of remaining parenchyma. The correlation between MTR and histology‐derived cystic and fibrotic changes was R2 = 0.84 and R2 = 0.70, respectively.

Magn reson med 75:1466–1473, 2016. © 2015 the authors. magnetic resonance in medicine published by wiley periodicals, inc. on behalf of international society for magnetic resonance.: MT imaging provides a new, noninvasive means of measuring tissue remodeling PKD changes and may be better suited for characterizing renal impairment compared with conventional MR techniques.

No MeSH data available.