Imaging Approaches to Patients With Polycystic Kidney Disease

Chapman, Arlene B.; Wei, Wenjing

doi:10.1016/j.semnephrol.2011.05.003

Cited by 52 publications

(62 citation statements)

References 32 publications

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“…In ADPKD, the interobserver variability was high, and there were about 300 and 700 ml differences in KV measured by ultrasonography and MRI, within the lower and higher volume range, respectively [22]. These results showed that the ultrasonographic KV measurement in ADPKD lacked precision [22,23]. …”

Section: Discussionmentioning

confidence: 99%

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Kidney Volume Estimations with Ellipsoid Equations by Magnetic Resonance Imaging in Autosomal Dominant Polycystic Kidney Disease

Higashihara

Nutahara

Okegawa

et al. 2015

Nephron

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Background: Kidney volume (KV) becomes clinically relevant in autosomal dominant polycystic kidney disease (ADPKD) management. KV can be conveniently estimated (ceKV) using ellipsoid volume equations with three axes measurements; however, the accuracy and reliability are unknown. Methods: KVs of 347 kidneys in 177 consecutive ADPKD patients were determined with a volumetric method (standard-KV), and ceKV was calculated using six different ellipsoid equations with three axes measurements using magnetic resonance imaging. The inter- and intraobserver reliabilities were analyzed using intraclass correlation coefficients (ICCs). Ellipsoid-KVs were obtained by linear regression analysis between standard-KV and ceKVs, and six ellipsoid-KVs were validated with a bootstrap model. Results: The ICCs of intra- and interobserver reliabilities in standard-KV and axes measurements were highly reliable. All ceKVs underestimated standard-KV and % differences between ceKV and standard-KV were reduced by ellipsoid-KVs. Bootstrap analyses suggested that six ellipsoid-KVs reliably simulated standard-KV. Conclusion: Among six ellipsoid-KVs, ellipsoid-KV₃ = 84 + 1.01 x π/24 × Length × (sum of two width measurements)² relatively accurately simulated the standard-KV. Kidney volume estimation using ellipsoid equations is reliably applied to clinical management of ADPKD while recognizing wide scattering in the difference between estimated and volumetrically measured kidney volume.

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Section: Discussionmentioning

confidence: 99%

“…However, the disadvantages of CT include ionized radiation and the use of a nephrotoxic contrast medium. Given these limitations, CT has a limited role in longitudinal imaging of ADPKD patients [23]. …”

Section: Discussionmentioning

confidence: 99%

Kidney Volume Estimations with Ellipsoid Equations by Magnetic Resonance Imaging in Autosomal Dominant Polycystic Kidney Disease

Higashihara

Nutahara

Okegawa

et al. 2015

Nephron

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“…It also incorporates caTissue [76], caArray [77], NBIA [67] and AIM UML models, associated common data elements (CDEs) and underlying NCI Thesaurus (NCIT) and other ontology concepts. We use NCIT [78] and Metathesaurus with concepts from BRIDG [79] and LS DAM models and other standardized domain ontologies such as from the Open Biological and Biomedical Ontologies Foundry [80]. We incorporate non-imaging data such as clinical outcomes by mapping to concepts from the Patient Outcome Data Service [81].…”

Section: Development Roadmapmentioning

confidence: 99%

A Novel Knowledge Representation Framework for the Statistical Validation of Quantitative Imaging Biomarkers

Buckler¹,

Paik

Ouellette³

et al. 2013

J Digit Imaging

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Quantitative imaging biomarkers are of particular interest in drug development for their potential to accelerate the drug development pipeline. The lack of consensus methods and carefully characterized performance hampers the widespread availability of these quantitative measures. A framework to support collaborative work on quantitative imaging biomarkers would entail advanced statistical techniques, the development of controlled vocabularies, and a service-oriented architecture for processing large image archives. Until now, this framework has not been developed. With the availability of tools for automatic ontology-based annotation of datasets, coupled with image archives, and a means for batch selection and processing of image and clinical data, imaging will go through a similar increase in capability analogous to what advanced genetic profiling techniques have brought to molecular biology. We report on our current progress on developing an informatics infrastructure to store, query, and retrieve imaging biomarker data across a wide range of resources in a semantically meaningful way that facilitates the collaborative development and validation of potential imaging biomarkers by many stakeholders. Specifically, we describe the semantic components of our system, QI-Bench, that are used to specify and support experimental activities for statistical validation in quantitative imaging

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“…Imaging modalities such as ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI) are used to monitor disease progression (8). Clinical studies utilize total kidney volume (TKV) measured by MRI as an image-based biomarker to follow the progression of ADPKD since larger TKVs have been shown to correlate with worse prognosis in ADPKD in both human (9), and murine studies (10).…”

Section: Introductionmentioning

confidence: 99%

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

Kline

Irazabal

Ebrahimi

et al. 2015

Magnetic Resonance in Med

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Purpose Non-invasive 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 to statistical parameters of the MTR maps. Results MTR derived mean, median, 25th percentile, skewness, and kurtosis were all closely related to indices of renal pathology such as kidney/body weight, cystic index, and percent of remaining parenchyma. The correlation between MTR and histology derived cystic and fibrotic changes was good at R2 = 0.84, and R2 = 0.70, respectively. Conclusion MT imaging provides a new, non-invasive means to measure tissue remodeling changes of PKD and may be better suited for characterizing renal impairment compared with conventional MR techniques.

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Imaging Approaches to Patients With Polycystic Kidney Disease

Cited by 52 publications

References 32 publications

Kidney Volume Estimations with Ellipsoid Equations by Magnetic Resonance Imaging in Autosomal Dominant Polycystic Kidney Disease

Kidney Volume Estimations with Ellipsoid Equations by Magnetic Resonance Imaging in Autosomal Dominant Polycystic Kidney Disease

A Novel Knowledge Representation Framework for the Statistical Validation of Quantitative Imaging Biomarkers

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

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