Determination of Prostate Volume: A Comparison of Contemporary Methods
Prostate volume (PV) determination provides important clinical information. We compared PVs determined by digital rectal examination (DRE), transrectal ultrasound (TRUS), magnetic resonance imaging (MRI) with or without three-dimensional (3D) segmentation software, and surgical prostatectomy weight...
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Veröffentlicht in: | Academic radiology 2018-12, Vol.25 (12), p.1582-1587 |
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description | Prostate volume (PV) determination provides important clinical information. We compared PVs determined by digital rectal examination (DRE), transrectal ultrasound (TRUS), magnetic resonance imaging (MRI) with or without three-dimensional (3D) segmentation software, and surgical prostatectomy weight (SPW) and volume (SPV).
This retrospective review from 2010 to 2016 included patients who underwent radical prostatectomy ≤1 year after multiparametric prostate MRI. PVs from DRE and TRUS were obtained from urology clinic notes. MRI-based PVs were calculated using bullet and ellipsoid formulas, automated 3D segmentation software (MRI-A3D), manual segmentation by a radiologist (MRI-R3D), and a third-year medical student (MRI-S3D). SPW and SPV were derived from pathology reports. Intraclass correlation coefficients compared the relative accuracy of each volume measurement.
Ninety-nine patients were analyzed. Median PVs were DRE 35 mL, TRUS 35 mL, MRI-bullet 49 mL, MRI-ellipsoid 39 mL, MRI-A3D 37 mL, MRI-R3D 36 mL, MRI-S3D 36 mL, SPW 54 mL, SPV-bullet 47 mL, and SPV-ellipsoid 37 mL. SPW and bullet formulas had consistently large PV, and formula-based PV had a wider spread than PV based on segmentation. Compared to MRI-R3D, the intraclass correlation coefficient was 0.91 for MRI-S3D, 0.90 for MRI-ellipsoid, 0.73 for SPV-ellipsoid, 0.72 for MRI-bullet, 0.71 for TRUS, 0.70 for SPW, 0.66 for SPV-bullet, 0.38 for MRI-A3D, and 0.33 for DRE.
With MRI-R3D measurement as the reference, the most reliable methods for PV estimation were MRI-S3D and MRI-ellipsoid formula. Automated segmentations must be individually assessed for accuracy, as they are not always truly representative of the prostate anatomy. Manual segmentation of the prostate does not require expert training. |
doi_str_mv | 10.1016/j.acra.2018.03.014 |
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This retrospective review from 2010 to 2016 included patients who underwent radical prostatectomy ≤1 year after multiparametric prostate MRI. PVs from DRE and TRUS were obtained from urology clinic notes. MRI-based PVs were calculated using bullet and ellipsoid formulas, automated 3D segmentation software (MRI-A3D), manual segmentation by a radiologist (MRI-R3D), and a third-year medical student (MRI-S3D). SPW and SPV were derived from pathology reports. Intraclass correlation coefficients compared the relative accuracy of each volume measurement.
Ninety-nine patients were analyzed. Median PVs were DRE 35 mL, TRUS 35 mL, MRI-bullet 49 mL, MRI-ellipsoid 39 mL, MRI-A3D 37 mL, MRI-R3D 36 mL, MRI-S3D 36 mL, SPW 54 mL, SPV-bullet 47 mL, and SPV-ellipsoid 37 mL. SPW and bullet formulas had consistently large PV, and formula-based PV had a wider spread than PV based on segmentation. Compared to MRI-R3D, the intraclass correlation coefficient was 0.91 for MRI-S3D, 0.90 for MRI-ellipsoid, 0.73 for SPV-ellipsoid, 0.72 for MRI-bullet, 0.71 for TRUS, 0.70 for SPW, 0.66 for SPV-bullet, 0.38 for MRI-A3D, and 0.33 for DRE.
With MRI-R3D measurement as the reference, the most reliable methods for PV estimation were MRI-S3D and MRI-ellipsoid formula. Automated segmentations must be individually assessed for accuracy, as they are not always truly representative of the prostate anatomy. Manual segmentation of the prostate does not require expert training.</description><identifier>EISSN: 1878-4046</identifier><identifier>DOI: 10.1016/j.acra.2018.03.014</identifier><identifier>PMID: 29609953</identifier><language>eng</language><publisher>United States</publisher><subject>Aged ; Digital Rectal Examination ; Humans ; Imaging, Three-Dimensional - methods ; Magnetic Resonance Imaging - methods ; Male ; Middle Aged ; Organ Size ; Prostate - diagnostic imaging ; Prostate - pathology ; Prostate - surgery ; Prostatectomy ; Prostatic Neoplasms - diagnostic imaging ; Prostatic Neoplasms - surgery ; Retrospective Studies ; Ultrasonography</subject><ispartof>Academic radiology, 2018-12, Vol.25 (12), p.1582-1587</ispartof><rights>Copyright © 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29609953$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bezinque, Adam</creatorcontrib><creatorcontrib>Moriarity, Andrew</creatorcontrib><creatorcontrib>Farrell, Crystal</creatorcontrib><creatorcontrib>Peabody, Henry</creatorcontrib><creatorcontrib>Noyes, Sabrina L</creatorcontrib><creatorcontrib>Lane, Brian R</creatorcontrib><title>Determination of Prostate Volume: A Comparison of Contemporary Methods</title><title>Academic radiology</title><addtitle>Acad Radiol</addtitle><description>Prostate volume (PV) determination provides important clinical information. We compared PVs determined by digital rectal examination (DRE), transrectal ultrasound (TRUS), magnetic resonance imaging (MRI) with or without three-dimensional (3D) segmentation software, and surgical prostatectomy weight (SPW) and volume (SPV).
This retrospective review from 2010 to 2016 included patients who underwent radical prostatectomy ≤1 year after multiparametric prostate MRI. PVs from DRE and TRUS were obtained from urology clinic notes. MRI-based PVs were calculated using bullet and ellipsoid formulas, automated 3D segmentation software (MRI-A3D), manual segmentation by a radiologist (MRI-R3D), and a third-year medical student (MRI-S3D). SPW and SPV were derived from pathology reports. Intraclass correlation coefficients compared the relative accuracy of each volume measurement.
Ninety-nine patients were analyzed. Median PVs were DRE 35 mL, TRUS 35 mL, MRI-bullet 49 mL, MRI-ellipsoid 39 mL, MRI-A3D 37 mL, MRI-R3D 36 mL, MRI-S3D 36 mL, SPW 54 mL, SPV-bullet 47 mL, and SPV-ellipsoid 37 mL. SPW and bullet formulas had consistently large PV, and formula-based PV had a wider spread than PV based on segmentation. Compared to MRI-R3D, the intraclass correlation coefficient was 0.91 for MRI-S3D, 0.90 for MRI-ellipsoid, 0.73 for SPV-ellipsoid, 0.72 for MRI-bullet, 0.71 for TRUS, 0.70 for SPW, 0.66 for SPV-bullet, 0.38 for MRI-A3D, and 0.33 for DRE.
With MRI-R3D measurement as the reference, the most reliable methods for PV estimation were MRI-S3D and MRI-ellipsoid formula. Automated segmentations must be individually assessed for accuracy, as they are not always truly representative of the prostate anatomy. Manual segmentation of the prostate does not require expert training.</description><subject>Aged</subject><subject>Digital Rectal Examination</subject><subject>Humans</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Organ Size</subject><subject>Prostate - diagnostic imaging</subject><subject>Prostate - pathology</subject><subject>Prostate - surgery</subject><subject>Prostatectomy</subject><subject>Prostatic Neoplasms - diagnostic imaging</subject><subject>Prostatic Neoplasms - surgery</subject><subject>Retrospective Studies</subject><subject>Ultrasonography</subject><issn>1878-4046</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo1zz1PwzAYBGALCdFS-AMMKCNLwmvHn2xVoIBUBAOwRo5ri1RxHGxn4N9TiTLd8uh0h9AVhgoD5rf7SpuoKwJYVlBXgOkJWmIpZEmB8gU6T2kPgBmX9RlaEMVBKVYv0ebeZht9P-rch7EIrniLIWWdbfEZhtnbu2JdNMFPOvbpDzRhzNZPIer4U7zY_BV26QKdOj0ke3nMFfrYPLw3T-X29fG5WW_LiWCcSyUVN0ZgoRgRQCQHLrBT0hHBgBpQQlKjHLVdZzSrHTDcKcI7zCk4yrt6hW7-eqcYvmebcuv7ZOww6NGGObUECK4JcEYO9PpI587bXTvF3h8Wt__f618n_FkI</recordid><startdate>201812</startdate><enddate>201812</enddate><creator>Bezinque, Adam</creator><creator>Moriarity, Andrew</creator><creator>Farrell, Crystal</creator><creator>Peabody, Henry</creator><creator>Noyes, Sabrina L</creator><creator>Lane, Brian R</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>201812</creationdate><title>Determination of Prostate Volume: A Comparison of Contemporary Methods</title><author>Bezinque, Adam ; Moriarity, Andrew ; Farrell, Crystal ; Peabody, Henry ; Noyes, Sabrina L ; Lane, Brian R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p211t-9896cc717952702860671f98f27504c09784c9f4ebbca53f051b926b1640f46b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Aged</topic><topic>Digital Rectal Examination</topic><topic>Humans</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Organ Size</topic><topic>Prostate - diagnostic imaging</topic><topic>Prostate - pathology</topic><topic>Prostate - surgery</topic><topic>Prostatectomy</topic><topic>Prostatic Neoplasms - diagnostic imaging</topic><topic>Prostatic Neoplasms - surgery</topic><topic>Retrospective Studies</topic><topic>Ultrasonography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bezinque, Adam</creatorcontrib><creatorcontrib>Moriarity, Andrew</creatorcontrib><creatorcontrib>Farrell, Crystal</creatorcontrib><creatorcontrib>Peabody, Henry</creatorcontrib><creatorcontrib>Noyes, Sabrina L</creatorcontrib><creatorcontrib>Lane, Brian R</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Academic radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bezinque, Adam</au><au>Moriarity, Andrew</au><au>Farrell, Crystal</au><au>Peabody, Henry</au><au>Noyes, Sabrina L</au><au>Lane, Brian R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determination of Prostate Volume: A Comparison of Contemporary Methods</atitle><jtitle>Academic radiology</jtitle><addtitle>Acad Radiol</addtitle><date>2018-12</date><risdate>2018</risdate><volume>25</volume><issue>12</issue><spage>1582</spage><epage>1587</epage><pages>1582-1587</pages><eissn>1878-4046</eissn><abstract>Prostate volume (PV) determination provides important clinical information. We compared PVs determined by digital rectal examination (DRE), transrectal ultrasound (TRUS), magnetic resonance imaging (MRI) with or without three-dimensional (3D) segmentation software, and surgical prostatectomy weight (SPW) and volume (SPV).
This retrospective review from 2010 to 2016 included patients who underwent radical prostatectomy ≤1 year after multiparametric prostate MRI. PVs from DRE and TRUS were obtained from urology clinic notes. MRI-based PVs were calculated using bullet and ellipsoid formulas, automated 3D segmentation software (MRI-A3D), manual segmentation by a radiologist (MRI-R3D), and a third-year medical student (MRI-S3D). SPW and SPV were derived from pathology reports. Intraclass correlation coefficients compared the relative accuracy of each volume measurement.
Ninety-nine patients were analyzed. Median PVs were DRE 35 mL, TRUS 35 mL, MRI-bullet 49 mL, MRI-ellipsoid 39 mL, MRI-A3D 37 mL, MRI-R3D 36 mL, MRI-S3D 36 mL, SPW 54 mL, SPV-bullet 47 mL, and SPV-ellipsoid 37 mL. SPW and bullet formulas had consistently large PV, and formula-based PV had a wider spread than PV based on segmentation. Compared to MRI-R3D, the intraclass correlation coefficient was 0.91 for MRI-S3D, 0.90 for MRI-ellipsoid, 0.73 for SPV-ellipsoid, 0.72 for MRI-bullet, 0.71 for TRUS, 0.70 for SPW, 0.66 for SPV-bullet, 0.38 for MRI-A3D, and 0.33 for DRE.
With MRI-R3D measurement as the reference, the most reliable methods for PV estimation were MRI-S3D and MRI-ellipsoid formula. Automated segmentations must be individually assessed for accuracy, as they are not always truly representative of the prostate anatomy. Manual segmentation of the prostate does not require expert training.</abstract><cop>United States</cop><pmid>29609953</pmid><doi>10.1016/j.acra.2018.03.014</doi><tpages>6</tpages></addata></record> |
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subjects | Aged Digital Rectal Examination Humans Imaging, Three-Dimensional - methods Magnetic Resonance Imaging - methods Male Middle Aged Organ Size Prostate - diagnostic imaging Prostate - pathology Prostate - surgery Prostatectomy Prostatic Neoplasms - diagnostic imaging Prostatic Neoplasms - surgery Retrospective Studies Ultrasonography |
title | Determination of Prostate Volume: A Comparison of Contemporary Methods |
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