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Novel Methodology to Evaluate Renal Cysts in Polycystic Kidney Disease

Identifieur interne : 001487 ( Pmc/Corpus ); précédent : 001486; suivant : 001488

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 :

American journal of nephrology [ 0250-8095 ] ; 2014.

RBID : PMC:4020571

Abstract

Objective

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

Materials and Methods

A semi-automated method was developed to segment and count individual renal cysts from mid-slice MR images in 241 participants with ADPKD from the Consortium for Radiologic Imaging Studies of ADPKD (CRISP). 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 semi-automated 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 semi-automated and manual cyst counts was compared using intra-class correlation (ICC) and a Bland-Altman plot.

Results

Individual renal cysts were successfully segmented using the semi-automated method in all 241 cases. The number of cysts in each kidney measured with the semi-automated and manual counting methods correlated well (ICC=0.96 for the right or left kidney), with a small average difference (-0.52, with higher semi-automated counts, for the right and 0.13, with higher manual counts, for the left) in the semi-automated method. There was, however, substantial variation in a small number of subjects: 6 of 241 (2.5%) participants had a difference in the total cyst count of more than 15.

Conclusion

We have developed a semi-automated method to segment individual renal cysts from mid-slice of MR images in ADPKD kidneys for a quantitative indicator of characterization and disease progression of ADPKD.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4020571

DOI: 10.1159/000358604
PubMed: 24576800
PubMed Central: 4020571

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PMC:4020571

Le document en format XML

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<author><name sortKey="Bae, Kyongtae T" sort="Bae, Kyongtae T" uniqKey="Bae K" first="Kyongtae T" last="Bae">Kyongtae T. Bae</name>
<affiliation><nlm:aff id="A1">Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Sun, Hongliang" sort="Sun, Hongliang" uniqKey="Sun H" first="Hongliang" last="Sun">Hongliang Sun</name>
<affiliation><nlm:aff id="A1">Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Lee, June Goo" sort="Lee, June Goo" uniqKey="Lee J" first="June Goo" last="Lee">June Goo Lee</name>
<affiliation><nlm:aff id="A1">Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania</nlm:aff>
</affiliation>
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<author><name sortKey="Bae, Kyungsoo" sort="Bae, Kyungsoo" uniqKey="Bae K" first="Kyungsoo" last="Bae">Kyungsoo Bae</name>
<affiliation><nlm:aff id="A9">Department of Radiology, Gyeongsang National University School of Medicine, Jinju, South Korea</nlm:aff>
</affiliation>
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<author><name sortKey="Wang, Jinhong" sort="Wang, Jinhong" uniqKey="Wang J" first="Jinhong" last="Wang">Jinhong Wang</name>
<affiliation><nlm:aff id="A1">Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Tao, Cheng" sort="Tao, Cheng" uniqKey="Tao C" first="Cheng" last="Tao">Cheng Tao</name>
<affiliation><nlm:aff id="A1">Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Chapman, Arlene B" sort="Chapman, Arlene B" uniqKey="Chapman A" first="Arlene B" last="Chapman">Arlene B. Chapman</name>
<affiliation><nlm:aff id="A3">Department of Internal Medicine, Emory University School of Medicine, Atlanta, Georgia</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Torres, Vicente E" sort="Torres, Vicente E" uniqKey="Torres V" first="Vicente E" last="Torres">Vicente E. Torres</name>
<affiliation><nlm:aff id="A4">Department of Internal Medicine, Mayo College of Medicine, Rochester, Minnesota</nlm:aff>
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<author><name sortKey="Grantham, Jared J" sort="Grantham, Jared J" uniqKey="Grantham J" first="Jared J" last="Grantham">Jared J. Grantham</name>
<affiliation><nlm:aff id="A5">Department of Internal Medicine, Kansas University Medical Center, Kansas City, Kansas</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Mrug, Michal" sort="Mrug, Michal" uniqKey="Mrug M" first="Michal" last="Mrug">Michal Mrug</name>
<affiliation><nlm:aff id="A6">Division of Nephrology, University of Alabama, Birmingham, Alabama</nlm:aff>
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<author><name sortKey="Bennett, William M" sort="Bennett, William M" uniqKey="Bennett W" first="William M" last="Bennett">William M. Bennett</name>
<affiliation><nlm:aff id="A7">Legacy Good Samaritan Hospital, Portland, Oregon</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Flessner, Michael F" sort="Flessner, Michael F" uniqKey="Flessner M" first="Michael F" last="Flessner">Michael F. Flessner</name>
<affiliation><nlm:aff id="A8">National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Landsittel, Doug P" sort="Landsittel, Doug P" uniqKey="Landsittel D" first="Doug P" last="Landsittel">Doug P. Landsittel</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Novel Methodology to Evaluate Renal Cysts in Polycystic Kidney Disease</title>
<author><name sortKey="Bae, Kyongtae T" sort="Bae, Kyongtae T" uniqKey="Bae K" first="Kyongtae T" last="Bae">Kyongtae T. Bae</name>
<affiliation><nlm:aff id="A1">Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania</nlm:aff>
</affiliation>
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<author><name sortKey="Sun, Hongliang" sort="Sun, Hongliang" uniqKey="Sun H" first="Hongliang" last="Sun">Hongliang Sun</name>
<affiliation><nlm:aff id="A1">Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Lee, June Goo" sort="Lee, June Goo" uniqKey="Lee J" first="June Goo" last="Lee">June Goo Lee</name>
<affiliation><nlm:aff id="A1">Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Bae, Kyungsoo" sort="Bae, Kyungsoo" uniqKey="Bae K" first="Kyungsoo" last="Bae">Kyungsoo Bae</name>
<affiliation><nlm:aff id="A9">Department of Radiology, Gyeongsang National University School of Medicine, Jinju, South Korea</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Wang, Jinhong" sort="Wang, Jinhong" uniqKey="Wang J" first="Jinhong" last="Wang">Jinhong Wang</name>
<affiliation><nlm:aff id="A1">Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Tao, Cheng" sort="Tao, Cheng" uniqKey="Tao C" first="Cheng" last="Tao">Cheng Tao</name>
<affiliation><nlm:aff id="A1">Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Chapman, Arlene B" sort="Chapman, Arlene B" uniqKey="Chapman A" first="Arlene B" last="Chapman">Arlene B. Chapman</name>
<affiliation><nlm:aff id="A3">Department of Internal Medicine, Emory University School of Medicine, Atlanta, Georgia</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Torres, Vicente E" sort="Torres, Vicente E" uniqKey="Torres V" first="Vicente E" last="Torres">Vicente E. Torres</name>
<affiliation><nlm:aff id="A4">Department of Internal Medicine, Mayo College of Medicine, Rochester, Minnesota</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Grantham, Jared J" sort="Grantham, Jared J" uniqKey="Grantham J" first="Jared J" last="Grantham">Jared J. Grantham</name>
<affiliation><nlm:aff id="A5">Department of Internal Medicine, Kansas University Medical Center, Kansas City, Kansas</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Mrug, Michal" sort="Mrug, Michal" uniqKey="Mrug M" first="Michal" last="Mrug">Michal Mrug</name>
<affiliation><nlm:aff id="A6">Division of Nephrology, University of Alabama, Birmingham, Alabama</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Bennett, William M" sort="Bennett, William M" uniqKey="Bennett W" first="William M" last="Bennett">William M. Bennett</name>
<affiliation><nlm:aff id="A7">Legacy Good Samaritan Hospital, Portland, Oregon</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Flessner, Michael F" sort="Flessner, Michael F" uniqKey="Flessner M" first="Michael F" last="Flessner">Michael F. Flessner</name>
<affiliation><nlm:aff id="A8">National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Landsittel, Doug P" sort="Landsittel, Doug P" uniqKey="Landsittel D" first="Doug P" last="Landsittel">Doug P. Landsittel</name>
<affiliation><nlm:aff id="A2">Department of Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania</nlm:aff>
</affiliation>
</author>
</analytic>
<series><title level="j">American journal of nephrology</title>
<idno type="ISSN">0250-8095</idno>
<idno type="eISSN">1421-9670</idno>
<imprint><date when="2014">2014</date>
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<front><div type="abstract" xml:lang="en"><sec id="S1"><title>Objective</title>
<p id="P1">To develop and assess a semi-automated method for segmenting and counting individual renal cysts from mid-slice MR images in patients with autosomal dominant polycystic kidney disease (ADPKD)</p>
</sec>
<sec id="S2"><title>Materials and Methods</title>
<p id="P2">A semi-automated method was developed to segment and count individual renal cysts from mid-slice MR images in 241 participants with ADPKD from the Consortium for Radiologic Imaging Studies of ADPKD (CRISP). 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 semi-automated 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 semi-automated and manual cyst counts was compared using intra-class correlation (ICC) and a Bland-Altman plot.</p>
</sec>
<sec id="S3"><title>Results</title>
<p id="P3">Individual renal cysts were successfully segmented using the semi-automated method in all 241 cases. The number of cysts in each kidney measured with the semi-automated and manual counting methods correlated well (ICC=0.96 for the right or left kidney), with a small average difference (-0.52, with higher semi-automated counts, for the right and 0.13, with higher manual counts, for the left) in the semi-automated method. There was, however, substantial variation in a small number of subjects: 6 of 241 (2.5%) participants had a difference in the total cyst count of more than 15.</p>
</sec>
<sec id="S4"><title>Conclusion</title>
<p id="P4">We have developed a semi-automated method to segment individual renal cysts from mid-slice of MR images in ADPKD kidneys for a quantitative indicator of characterization and disease progression of ADPKD.</p>
</sec>
</div>
</front>
</TEI>
<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
  <pmc-dir>properties manuscript</pmc-dir>
  <front><journal-meta><journal-id journal-id-type="nlm-journal-id">8109361</journal-id>
<journal-id journal-id-type="pubmed-jr-id">437</journal-id>
<journal-id journal-id-type="nlm-ta">Am J Nephrol</journal-id>
<journal-id journal-id-type="iso-abbrev">Am. J. Nephrol.</journal-id>
<journal-title-group><journal-title>American journal of nephrology</journal-title>
</journal-title-group>
<issn pub-type="ppub">0250-8095</issn>
<issn pub-type="epub">1421-9670</issn>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">24576800</article-id>
<article-id pub-id-type="pmc">4020571</article-id>
<article-id pub-id-type="doi">10.1159/000358604</article-id>
<article-id pub-id-type="manuscript">NIHMS559043</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Novel Methodology to Evaluate Renal Cysts in Polycystic Kidney Disease</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Bae</surname>
<given-names>Kyongtae T</given-names>
</name>
<degrees>MD, PhD</degrees>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Sun</surname>
<given-names>Hongliang</given-names>
</name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Lee</surname>
<given-names>June Goo</given-names>
</name>
<degrees>PhD</degrees>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Bae</surname>
<given-names>Kyungsoo</given-names>
</name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="A9">9</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Wang</surname>
<given-names>Jinhong</given-names>
</name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Tao</surname>
<given-names>Cheng</given-names>
</name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Chapman</surname>
<given-names>Arlene B</given-names>
</name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Torres</surname>
<given-names>Vicente E</given-names>
</name>
<degrees>MD, PhD</degrees>
<xref ref-type="aff" rid="A4">4</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Grantham</surname>
<given-names>Jared J</given-names>
</name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="A5">5</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Mrug</surname>
<given-names>Michal</given-names>
</name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="A6">6</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Bennett</surname>
<given-names>William M</given-names>
</name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="A7">7</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Flessner</surname>
<given-names>Michael F</given-names>
</name>
<degrees>MD, PhD</degrees>
<xref ref-type="aff" rid="A8">8</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Landsittel</surname>
<given-names>Doug P</given-names>
</name>
<degrees>PhD</degrees>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<on-behalf-of>for the Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease (CRISP)</on-behalf-of>
</contrib-group>
<aff id="A1"><label>1</label>
Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania</aff>
<aff id="A2"><label>2</label>
Department of Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania</aff>
<aff id="A3"><label>3</label>
Department of Internal Medicine, Emory University School of Medicine, Atlanta, Georgia</aff>
<aff id="A4"><label>4</label>
Department of Internal Medicine, Mayo College of Medicine, Rochester, Minnesota</aff>
<aff id="A5"><label>5</label>
Department of Internal Medicine, Kansas University Medical Center, Kansas City, Kansas</aff>
<aff id="A6"><label>6</label>
Division of Nephrology, University of Alabama, Birmingham, Alabama</aff>
<aff id="A7"><label>7</label>
Legacy Good Samaritan Hospital, Portland, Oregon</aff>
<aff id="A8"><label>8</label>
National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland</aff>
<aff id="A9"><label>9</label>
Department of Radiology, Gyeongsang National University School of Medicine, Jinju, South Korea</aff>
<author-notes><corresp id="FN1">Address correspondence to: K.T. Bae, MD, PhD, Department of Radiology, University of Pittsburgh School of Medicine, Presbyterian South Tower, Room 3950, 200 Lothrop St, Pittsburgh, PA 15213, Phone: 412/647-3510, FAX: 412/647-0738, <email>baek@upmc.edu</email>
</corresp>
</author-notes>
<pub-date pub-type="nihms-submitted"><day>24</day>
<month>4</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="epub"><day>22</day>
<month>2</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="ppub"><year>2014</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>22</day>
<month>2</month>
<year>2015</year>
</pub-date>
<volume>39</volume>
<issue>3</issue>
<fpage>210</fpage>
<lpage>217</lpage>
<pmc-comment>elocation-id from pubmed: 10.1159/000358604</pmc-comment>
      <abstract><sec id="S1"><title>Objective</title>
<p id="P1">To develop and assess a semi-automated method for segmenting and counting individual renal cysts from mid-slice MR images in patients with autosomal dominant polycystic kidney disease (ADPKD)</p>
</sec>
<sec id="S2"><title>Materials and Methods</title>
<p id="P2">A semi-automated method was developed to segment and count individual renal cysts from mid-slice MR images in 241 participants with ADPKD from the Consortium for Radiologic Imaging Studies of ADPKD (CRISP). 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 semi-automated 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 semi-automated and manual cyst counts was compared using intra-class correlation (ICC) and a Bland-Altman plot.</p>
</sec>
<sec id="S3"><title>Results</title>
<p id="P3">Individual renal cysts were successfully segmented using the semi-automated method in all 241 cases. The number of cysts in each kidney measured with the semi-automated and manual counting methods correlated well (ICC=0.96 for the right or left kidney), with a small average difference (-0.52, with higher semi-automated counts, for the right and 0.13, with higher manual counts, for the left) in the semi-automated method. There was, however, substantial variation in a small number of subjects: 6 of 241 (2.5%) participants had a difference in the total cyst count of more than 15.</p>
</sec>
<sec id="S4"><title>Conclusion</title>
<p id="P4">We have developed a semi-automated method to segment individual renal cysts from mid-slice of MR images in ADPKD kidneys for a quantitative indicator of characterization and disease progression of ADPKD.</p>
</sec>
</abstract>
<kwd-group><kwd>kidney</kwd>
<kwd>polycystic kidney disease</kwd>
<kwd>renal cysts</kwd>
<kwd>magnetic resonance imaging</kwd>
<kwd>segmentation</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
</record>

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Novel Methodology to Evaluate Renal Cysts in Polycystic Kidney Disease

Novel Methodology to Evaluate Renal Cysts in Polycystic Kidney Disease

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