A rapid high-performance semi-automated tool to measure total kidney volume from MRI in autosomal dominant polycystic kidney disease
Objectives To develop a high-performance, rapid semi-automated method (Sheffield TKV Tool) for measuring total kidney volume (TKV) from magnetic resonance images (MRI) in patients with autosomal dominant polycystic kidney disease (ADPKD). Methods TKV was initially measured in 61 patients with ADPKD...
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| Veröffentlicht in: | European radiology 2019-08, Vol.29 (8), p.4188-4197 |
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| creator | Simms, Roslyn J. Doshi, Trushali Metherall, Peter Ryan, Desmond Wright, Peter Gruel, Nicolas van Gastel, Maatje D. A. Gansevoort, Ron T. Tindale, Wendy Ong, Albert C. M. |
| description | Objectives
To develop a high-performance, rapid semi-automated method (Sheffield TKV Tool) for measuring total kidney volume (TKV) from magnetic resonance images (MRI) in patients with autosomal dominant polycystic kidney disease (ADPKD).
Methods
TKV was initially measured in 61 patients with ADPKD using the Sheffield TKV Tool and its performance compared to manual segmentation and other published methods (ellipsoidal, mid-slice, MIROS). It was then validated using an external dataset of MRI scans from 65 patients with ADPKD.
Results
Sixty-one patients (mean age 45 ± 14 years, baseline eGFR 76 ± 32 ml/min/1.73 m
2
) with ADPKD had a wide range of TKV (258–3680 ml) measured manually. The Sheffield TKV Tool was highly accurate (mean volume error 0.5 ± 5.3% for right kidney, − 0.7 ± 5.5% for left kidney), reproducible (intra-operator variability − 0.2 ± 1.3%; inter-operator variability 1.1 ± 2.9%) and outperformed published methods. It took less than 6 min to execute and performed consistently with high accuracy in an external MRI dataset of T2-weighted sequences with TKV acquired using three different scanners and measured using a different segmentation methodology (mean volume error was 3.45 ± 3.96%,
n
= 65).
Conclusions
The Sheffield TKV Tool is operator friendly, requiring minimal user interaction to rapidly, accurately and reproducibly measure TKV in this, the largest reported unselected European patient cohort with ADPKD. It is more accurate than estimating equations and its accuracy is maintained at larger kidney volumes than previously reported with other semi-automated methods. It is free to use, can run as an independent executable and will accelerate the application of TKV as a prognostic biomarker for ADPKD into clinical practice.
Key Points
•
This new semi-automated method (Sheffield TKV Tool) to measure total kidney volume (TKV) will facilitate the routine clinical assessment of patients with ADPKD.
•
Measuring TKV manually is time consuming and laborious.
•
TKV is a prognostic indicator in ADPKD and the only imaging biomarker approved by the FDA and EMA. |
| doi_str_mv | 10.1007/s00330-018-5918-9 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6610271</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2169187889</sourcerecordid><originalsourceid>FETCH-LOGICAL-c536t-6aa28f92f3464e2d098ed74b29138ee40124c86fb3cb87850001edf4e9fe62203</originalsourceid><addsrcrecordid>eNp1kd1rFDEUxYModlv9A3yRgC--jN58bCZ5EUrRWqgIos8hO3NnN3WSjMlMYd_9w82ybf0AX24C93dOcjiEvGDwhgG0bwuAENAA083a1GEekRWTgjcMtHxMVmCEblpj5Ak5LeUGAAyT7VNyIkApJaVYkZ_nNLvJ93Tnt7tmwjykHFzskBYMvnHLnIKbsadzSmMdNKArS8Z6nd1Iv_s-4p7epnEJSIecAv305Yr6SA_KUrUj7VPw0cWZTmncd_sy--5e1_tS7fAZeTK4seDzu_OMfPvw_uvFx-b68-XVxfl1062FmhvlHNeD4YOQSiLvwWjsW7nhhgmNKIFx2Wk1bES30a1e17wM-0GiGVBxDuKMvDv6TssmYN9hnLMb7ZR9cHlvk_P27030O7tNt1YpBrxl1eD1nUFOPxYssw2-dDiOLmJaiuWsNcKA4byir_5Bb9KSY41XKVXbarU2lWJHqsuplIzDw2cY2EPH9tixrR3bQ8f2oHn5Z4oHxX2pFeBHoNRV3GL-_fT_XX8BTti0eg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2169187889</pqid></control><display><type>article</type><title>A rapid high-performance semi-automated tool to measure total kidney volume from MRI in autosomal dominant polycystic kidney disease</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Simms, Roslyn J. ; Doshi, Trushali ; Metherall, Peter ; Ryan, Desmond ; Wright, Peter ; Gruel, Nicolas ; van Gastel, Maatje D. A. ; Gansevoort, Ron T. ; Tindale, Wendy ; Ong, Albert C. M.</creator><creatorcontrib>Simms, Roslyn J. ; Doshi, Trushali ; Metherall, Peter ; Ryan, Desmond ; Wright, Peter ; Gruel, Nicolas ; van Gastel, Maatje D. A. ; Gansevoort, Ron T. ; Tindale, Wendy ; Ong, Albert C. M.</creatorcontrib><description>Objectives
To develop a high-performance, rapid semi-automated method (Sheffield TKV Tool) for measuring total kidney volume (TKV) from magnetic resonance images (MRI) in patients with autosomal dominant polycystic kidney disease (ADPKD).
Methods
TKV was initially measured in 61 patients with ADPKD using the Sheffield TKV Tool and its performance compared to manual segmentation and other published methods (ellipsoidal, mid-slice, MIROS). It was then validated using an external dataset of MRI scans from 65 patients with ADPKD.
Results
Sixty-one patients (mean age 45 ± 14 years, baseline eGFR 76 ± 32 ml/min/1.73 m
2
) with ADPKD had a wide range of TKV (258–3680 ml) measured manually. The Sheffield TKV Tool was highly accurate (mean volume error 0.5 ± 5.3% for right kidney, − 0.7 ± 5.5% for left kidney), reproducible (intra-operator variability − 0.2 ± 1.3%; inter-operator variability 1.1 ± 2.9%) and outperformed published methods. It took less than 6 min to execute and performed consistently with high accuracy in an external MRI dataset of T2-weighted sequences with TKV acquired using three different scanners and measured using a different segmentation methodology (mean volume error was 3.45 ± 3.96%,
n
= 65).
Conclusions
The Sheffield TKV Tool is operator friendly, requiring minimal user interaction to rapidly, accurately and reproducibly measure TKV in this, the largest reported unselected European patient cohort with ADPKD. It is more accurate than estimating equations and its accuracy is maintained at larger kidney volumes than previously reported with other semi-automated methods. It is free to use, can run as an independent executable and will accelerate the application of TKV as a prognostic biomarker for ADPKD into clinical practice.
Key Points
•
This new semi-automated method (Sheffield TKV Tool) to measure total kidney volume (TKV) will facilitate the routine clinical assessment of patients with ADPKD.
•
Measuring TKV manually is time consuming and laborious.
•
TKV is a prognostic indicator in ADPKD and the only imaging biomarker approved by the FDA and EMA.</description><identifier>ISSN: 0938-7994</identifier><identifier>ISSN: 1432-1084</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-018-5918-9</identifier><identifier>PMID: 30666443</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adult ; Aged ; Automation ; Bioindicators ; Biomarkers ; Cross-Sectional Studies ; Diagnostic Radiology ; Disease Progression ; Epidermal growth factor receptors ; Female ; Glomerular Filtration Rate - physiology ; Humans ; Image processing ; Image segmentation ; Imaging ; Internal Medicine ; Interventional Radiology ; Kidney - pathology ; Kidney diseases ; Kidneys ; Magnetic Resonance ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Measurement methods ; Medicine ; Medicine & Public Health ; Middle Aged ; Neuroradiology ; Organ Size - physiology ; Patients ; Polycystic kidney ; Polycystic Kidney, Autosomal Dominant - pathology ; Polycystic Kidney, Autosomal Dominant - physiopathology ; Prognosis ; Radiology ; Retrospective Studies ; Scanners ; Ultrasound ; Variability ; Young Adult</subject><ispartof>European radiology, 2019-08, Vol.29 (8), p.4188-4197</ispartof><rights>The Author(s) 2019</rights><rights>European Radiology is a copyright of Springer, (2019). All Rights Reserved. © 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c536t-6aa28f92f3464e2d098ed74b29138ee40124c86fb3cb87850001edf4e9fe62203</citedby><cites>FETCH-LOGICAL-c536t-6aa28f92f3464e2d098ed74b29138ee40124c86fb3cb87850001edf4e9fe62203</cites><orcidid>0000-0002-7211-5400</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00330-018-5918-9$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-018-5918-9$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27915,27916,41479,42548,51310</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30666443$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Simms, Roslyn J.</creatorcontrib><creatorcontrib>Doshi, Trushali</creatorcontrib><creatorcontrib>Metherall, Peter</creatorcontrib><creatorcontrib>Ryan, Desmond</creatorcontrib><creatorcontrib>Wright, Peter</creatorcontrib><creatorcontrib>Gruel, Nicolas</creatorcontrib><creatorcontrib>van Gastel, Maatje D. A.</creatorcontrib><creatorcontrib>Gansevoort, Ron T.</creatorcontrib><creatorcontrib>Tindale, Wendy</creatorcontrib><creatorcontrib>Ong, Albert C. M.</creatorcontrib><title>A rapid high-performance semi-automated tool to measure total kidney volume from MRI in autosomal dominant polycystic kidney disease</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objectives
To develop a high-performance, rapid semi-automated method (Sheffield TKV Tool) for measuring total kidney volume (TKV) from magnetic resonance images (MRI) in patients with autosomal dominant polycystic kidney disease (ADPKD).
Methods
TKV was initially measured in 61 patients with ADPKD using the Sheffield TKV Tool and its performance compared to manual segmentation and other published methods (ellipsoidal, mid-slice, MIROS). It was then validated using an external dataset of MRI scans from 65 patients with ADPKD.
Results
Sixty-one patients (mean age 45 ± 14 years, baseline eGFR 76 ± 32 ml/min/1.73 m
2
) with ADPKD had a wide range of TKV (258–3680 ml) measured manually. The Sheffield TKV Tool was highly accurate (mean volume error 0.5 ± 5.3% for right kidney, − 0.7 ± 5.5% for left kidney), reproducible (intra-operator variability − 0.2 ± 1.3%; inter-operator variability 1.1 ± 2.9%) and outperformed published methods. It took less than 6 min to execute and performed consistently with high accuracy in an external MRI dataset of T2-weighted sequences with TKV acquired using three different scanners and measured using a different segmentation methodology (mean volume error was 3.45 ± 3.96%,
n
= 65).
Conclusions
The Sheffield TKV Tool is operator friendly, requiring minimal user interaction to rapidly, accurately and reproducibly measure TKV in this, the largest reported unselected European patient cohort with ADPKD. It is more accurate than estimating equations and its accuracy is maintained at larger kidney volumes than previously reported with other semi-automated methods. It is free to use, can run as an independent executable and will accelerate the application of TKV as a prognostic biomarker for ADPKD into clinical practice.
Key Points
•
This new semi-automated method (Sheffield TKV Tool) to measure total kidney volume (TKV) will facilitate the routine clinical assessment of patients with ADPKD.
•
Measuring TKV manually is time consuming and laborious.
•
TKV is a prognostic indicator in ADPKD and the only imaging biomarker approved by the FDA and EMA.</description><subject>Adult</subject><subject>Aged</subject><subject>Automation</subject><subject>Bioindicators</subject><subject>Biomarkers</subject><subject>Cross-Sectional Studies</subject><subject>Diagnostic Radiology</subject><subject>Disease Progression</subject><subject>Epidermal growth factor receptors</subject><subject>Female</subject><subject>Glomerular Filtration Rate - physiology</subject><subject>Humans</subject><subject>Image processing</subject><subject>Image segmentation</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Kidney - pathology</subject><subject>Kidney diseases</subject><subject>Kidneys</subject><subject>Magnetic Resonance</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Measurement methods</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Neuroradiology</subject><subject>Organ Size - physiology</subject><subject>Patients</subject><subject>Polycystic kidney</subject><subject>Polycystic Kidney, Autosomal Dominant - pathology</subject><subject>Polycystic Kidney, Autosomal Dominant - physiopathology</subject><subject>Prognosis</subject><subject>Radiology</subject><subject>Retrospective Studies</subject><subject>Scanners</subject><subject>Ultrasound</subject><subject>Variability</subject><subject>Young Adult</subject><issn>0938-7994</issn><issn>1432-1084</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kd1rFDEUxYModlv9A3yRgC--jN58bCZ5EUrRWqgIos8hO3NnN3WSjMlMYd_9w82ybf0AX24C93dOcjiEvGDwhgG0bwuAENAA083a1GEekRWTgjcMtHxMVmCEblpj5Ak5LeUGAAyT7VNyIkApJaVYkZ_nNLvJ93Tnt7tmwjykHFzskBYMvnHLnIKbsadzSmMdNKArS8Z6nd1Iv_s-4p7epnEJSIecAv305Yr6SA_KUrUj7VPw0cWZTmncd_sy--5e1_tS7fAZeTK4seDzu_OMfPvw_uvFx-b68-XVxfl1062FmhvlHNeD4YOQSiLvwWjsW7nhhgmNKIFx2Wk1bES30a1e17wM-0GiGVBxDuKMvDv6TssmYN9hnLMb7ZR9cHlvk_P27030O7tNt1YpBrxl1eD1nUFOPxYssw2-dDiOLmJaiuWsNcKA4byir_5Bb9KSY41XKVXbarU2lWJHqsuplIzDw2cY2EPH9tixrR3bQ8f2oHn5Z4oHxX2pFeBHoNRV3GL-_fT_XX8BTti0eg</recordid><startdate>20190801</startdate><enddate>20190801</enddate><creator>Simms, Roslyn J.</creator><creator>Doshi, Trushali</creator><creator>Metherall, Peter</creator><creator>Ryan, Desmond</creator><creator>Wright, Peter</creator><creator>Gruel, Nicolas</creator><creator>van Gastel, Maatje D. A.</creator><creator>Gansevoort, Ron T.</creator><creator>Tindale, Wendy</creator><creator>Ong, Albert C. M.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-7211-5400</orcidid></search><sort><creationdate>20190801</creationdate><title>A rapid high-performance semi-automated tool to measure total kidney volume from MRI in autosomal dominant polycystic kidney disease</title><author>Simms, Roslyn J. ; Doshi, Trushali ; Metherall, Peter ; Ryan, Desmond ; Wright, Peter ; Gruel, Nicolas ; van Gastel, Maatje D. A. ; Gansevoort, Ron T. ; Tindale, Wendy ; Ong, Albert C. M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c536t-6aa28f92f3464e2d098ed74b29138ee40124c86fb3cb87850001edf4e9fe62203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Automation</topic><topic>Bioindicators</topic><topic>Biomarkers</topic><topic>Cross-Sectional Studies</topic><topic>Diagnostic Radiology</topic><topic>Disease Progression</topic><topic>Epidermal growth factor receptors</topic><topic>Female</topic><topic>Glomerular Filtration Rate - physiology</topic><topic>Humans</topic><topic>Image processing</topic><topic>Image segmentation</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Kidney - pathology</topic><topic>Kidney diseases</topic><topic>Kidneys</topic><topic>Magnetic Resonance</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Measurement methods</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Neuroradiology</topic><topic>Organ Size - physiology</topic><topic>Patients</topic><topic>Polycystic kidney</topic><topic>Polycystic Kidney, Autosomal Dominant - pathology</topic><topic>Polycystic Kidney, Autosomal Dominant - physiopathology</topic><topic>Prognosis</topic><topic>Radiology</topic><topic>Retrospective Studies</topic><topic>Scanners</topic><topic>Ultrasound</topic><topic>Variability</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Simms, Roslyn J.</creatorcontrib><creatorcontrib>Doshi, Trushali</creatorcontrib><creatorcontrib>Metherall, Peter</creatorcontrib><creatorcontrib>Ryan, Desmond</creatorcontrib><creatorcontrib>Wright, Peter</creatorcontrib><creatorcontrib>Gruel, Nicolas</creatorcontrib><creatorcontrib>van Gastel, Maatje D. A.</creatorcontrib><creatorcontrib>Gansevoort, Ron T.</creatorcontrib><creatorcontrib>Tindale, Wendy</creatorcontrib><creatorcontrib>Ong, Albert C. M.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Biological Science Journals</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Simms, Roslyn J.</au><au>Doshi, Trushali</au><au>Metherall, Peter</au><au>Ryan, Desmond</au><au>Wright, Peter</au><au>Gruel, Nicolas</au><au>van Gastel, Maatje D. A.</au><au>Gansevoort, Ron T.</au><au>Tindale, Wendy</au><au>Ong, Albert C. M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A rapid high-performance semi-automated tool to measure total kidney volume from MRI in autosomal dominant polycystic kidney disease</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2019-08-01</date><risdate>2019</risdate><volume>29</volume><issue>8</issue><spage>4188</spage><epage>4197</epage><pages>4188-4197</pages><issn>0938-7994</issn><issn>1432-1084</issn><eissn>1432-1084</eissn><abstract>Objectives
To develop a high-performance, rapid semi-automated method (Sheffield TKV Tool) for measuring total kidney volume (TKV) from magnetic resonance images (MRI) in patients with autosomal dominant polycystic kidney disease (ADPKD).
Methods
TKV was initially measured in 61 patients with ADPKD using the Sheffield TKV Tool and its performance compared to manual segmentation and other published methods (ellipsoidal, mid-slice, MIROS). It was then validated using an external dataset of MRI scans from 65 patients with ADPKD.
Results
Sixty-one patients (mean age 45 ± 14 years, baseline eGFR 76 ± 32 ml/min/1.73 m
2
) with ADPKD had a wide range of TKV (258–3680 ml) measured manually. The Sheffield TKV Tool was highly accurate (mean volume error 0.5 ± 5.3% for right kidney, − 0.7 ± 5.5% for left kidney), reproducible (intra-operator variability − 0.2 ± 1.3%; inter-operator variability 1.1 ± 2.9%) and outperformed published methods. It took less than 6 min to execute and performed consistently with high accuracy in an external MRI dataset of T2-weighted sequences with TKV acquired using three different scanners and measured using a different segmentation methodology (mean volume error was 3.45 ± 3.96%,
n
= 65).
Conclusions
The Sheffield TKV Tool is operator friendly, requiring minimal user interaction to rapidly, accurately and reproducibly measure TKV in this, the largest reported unselected European patient cohort with ADPKD. It is more accurate than estimating equations and its accuracy is maintained at larger kidney volumes than previously reported with other semi-automated methods. It is free to use, can run as an independent executable and will accelerate the application of TKV as a prognostic biomarker for ADPKD into clinical practice.
Key Points
•
This new semi-automated method (Sheffield TKV Tool) to measure total kidney volume (TKV) will facilitate the routine clinical assessment of patients with ADPKD.
•
Measuring TKV manually is time consuming and laborious.
•
TKV is a prognostic indicator in ADPKD and the only imaging biomarker approved by the FDA and EMA.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>30666443</pmid><doi>10.1007/s00330-018-5918-9</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-7211-5400</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0938-7994 |
| ispartof | European radiology, 2019-08, Vol.29 (8), p.4188-4197 |
| issn | 0938-7994 1432-1084 1432-1084 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6610271 |
| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Adult Aged Automation Bioindicators Biomarkers Cross-Sectional Studies Diagnostic Radiology Disease Progression Epidermal growth factor receptors Female Glomerular Filtration Rate - physiology Humans Image processing Image segmentation Imaging Internal Medicine Interventional Radiology Kidney - pathology Kidney diseases Kidneys Magnetic Resonance Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Measurement methods Medicine Medicine & Public Health Middle Aged Neuroradiology Organ Size - physiology Patients Polycystic kidney Polycystic Kidney, Autosomal Dominant - pathology Polycystic Kidney, Autosomal Dominant - physiopathology Prognosis Radiology Retrospective Studies Scanners Ultrasound Variability Young Adult |
| title | A rapid high-performance semi-automated tool to measure total kidney volume from MRI in autosomal dominant polycystic kidney disease |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T21%3A13%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20rapid%20high-performance%20semi-automated%20tool%20to%20measure%20total%20kidney%20volume%20from%20MRI%20in%20autosomal%20dominant%20polycystic%20kidney%20disease&rft.jtitle=European%20radiology&rft.au=Simms,%20Roslyn%20J.&rft.date=2019-08-01&rft.volume=29&rft.issue=8&rft.spage=4188&rft.epage=4197&rft.pages=4188-4197&rft.issn=0938-7994&rft.eissn=1432-1084&rft_id=info:doi/10.1007/s00330-018-5918-9&rft_dat=%3Cproquest_pubme%3E2169187889%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2169187889&rft_id=info:pmid/30666443&rfr_iscdi=true |