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Novel methodology to evaluate renal cysts in polycystic kidney disease.

Identifieur interne : 004287 ( PubMed/Corpus ); précédent : 004286; suivant : 004288

Novel methodology to evaluate renal cysts in polycystic kidney disease.

Auteurs : Kyongtae T. Bae ; Hongliang Sun ; June Goo Lee ; Kyungsoo Bae ; Jinhong Wang ; Cheng Tao ; Arlene B. Chapman ; Vicente E. Torres ; Jared J. Grantham ; Michal Mrug ; William M. Bennett ; Michael F. Flessner ; Doug P. Landsittel

Source :

RBID : pubmed:24576800

English descriptors

Abstract

To develop and assess a semiautomated method for segmenting and counting individual renal cysts from mid-slice MR images in patients with autosomal dominant polycystic kidney disease (ADPKD).

DOI: 10.1159/000358604
PubMed: 24576800

Links to Exploration step

pubmed:24576800

Le document en format XML

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<term>Cysts (diagnosis)</term>
<term>Cysts (pathology)</term>
<term>Disease Progression</term>
<term>Female</term>
<term>Humans</term>
<term>Image Processing, Computer-Assisted</term>
<term>Kidney (pathology)</term>
<term>Kidney (physiopathology)</term>
<term>Magnetic Resonance Imaging (methods)</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Pattern Recognition, Automated</term>
<term>Polycystic Kidney, Autosomal Dominant (diagnosis)</term>
<term>Polycystic Kidney, Autosomal Dominant (pathology)</term>
<term>Young Adult</term>
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<term>Cysts</term>
<term>Polycystic Kidney, Autosomal Dominant</term>
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<term>Magnetic Resonance Imaging</term>
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<term>Cysts</term>
<term>Kidney</term>
<term>Polycystic Kidney, Autosomal Dominant</term>
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<term>Kidney</term>
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<front>
<div type="abstract" xml:lang="en">To develop and assess a semiautomated method for segmenting and counting individual renal cysts from mid-slice MR images in patients with autosomal dominant polycystic kidney disease (ADPKD).</div>
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<DateCreated>
<Year>2014</Year>
<Month>04</Month>
<Day>09</Day>
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<DateCompleted>
<Year>2014</Year>
<Month>12</Month>
<Day>03</Day>
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<DateRevised>
<Year>2016</Year>
<Month>12</Month>
<Day>15</Day>
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<ISSN IssnType="Electronic">1421-9670</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>39</Volume>
<Issue>3</Issue>
<PubDate>
<Year>2014</Year>
</PubDate>
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<Title>American journal of nephrology</Title>
<ISOAbbreviation>Am. J. Nephrol.</ISOAbbreviation>
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<ArticleTitle>Novel methodology to evaluate renal cysts in polycystic kidney disease.</ArticleTitle>
<Pagination>
<MedlinePgn>210-7</MedlinePgn>
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<ELocationID EIdType="doi" ValidYN="Y">10.1159/000358604</ELocationID>
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<AbstractText Label="AIM" NlmCategory="OBJECTIVE">To develop and assess a semiautomated method for segmenting and counting individual renal cysts from mid-slice MR images in patients with autosomal dominant polycystic kidney disease (ADPKD).</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">A semiautomated method was developed to segment and count individual renal cysts from mid-slice MR images in 241 subjects with ADPKD from the Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease. For each subject, a mid-slice MR image was selected from each set of coronal T2-weighted MR images covering the entire kidney. The selected mid-slice image was processed with the semiautomated method to segment and count individual renal cysts. The number of cysts from the mid-slice image of each kidney was also measured by manual counting. The level of agreement between the semiautomated and manual cyst counts was compared using intraclass correlation (ICC) and a Bland-Altman plot.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Individual renal cysts were successfully segmented using the semiautomated method in all 241 cases. The number of cysts in each kidney measured with the semiautomated and manual counting methods correlated well (ICC = 0.96 for the right or left kidney), with a small average difference (-0.52, with higher semiautomated counts, for the right kidney, and 0.13, with higher manual counts, for the left kidney) in the semiautomated method. However, there was substantial variation in a small number of subjects; 6 of 241 participants (2.5%) had a difference in the total cyst count of more than 15.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">We have developed a semiautomated method to segment individual renal cysts from mid-slice MR images in ADPKD kidneys as a quantitative indicator of characterization and disease progression of ADPKD.</AbstractText>
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