Accuracy of the magnetic resonance imaging pathway in the detection of prostate cancer: a systematic review and meta-analysis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03

AUTHORS

Niranjan J. Sathianathen, Mohit Butaney, Connie Bongiorno, Badrinath R. Konety, Damien M. Bolton, Nathan Lawrentschuk

ABSTRACT

BACKGROUND: Although magnetic resonance imaging and subsequent targeted biopsy ('MRI pathway') have been widely adopted in routine clinical practice, it is still a common practice to perform systematic biopsy concurrently, because the accuracy of the MRI pathway is yet to be fully defined. This systematic review of the literature assessed the sensitivity of the MRI pathway for detecting clinically significant prostate cancer. METHODS: Multiple databases were searched up to May 2017 according to the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) statement for studies assessing the accuracy of MR-guided biopsy (MRGB) compared to a reference standard which consisted of both MRGB and systematic biopsy with at least 20-cores. The primary outcome was the sensitivity of detecting clinically significant prostate cancer defined as Gleason ≥7 disease. RESULTS: A total of 15 studies met the predefined inclusion criteria. Overall, studies were assessed to be of low quality with inadequate blinding of personnel, which could introduce performance and detection bias. The calculated summary sensitivity of the MRI pathway was 78.3% [95%CI 75.0-81.4%]. There was moderate heterogeneity between the included studies (I2 = 36%). Subgroup analysis was performed based on clinical setting, the strength of MRI magnet and mode of image fusion as factors but no interaction was identified between any of the subgroups. No publication bias was identified. CONCLUSION: The MRI pathway cannot yet be solely relied upon to diagnose clinically significant disease and hence additional systematic sampling should still be performed during the biopsy procedure. More... »

PAGES

39-48

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41391-018-0075-4

DOI

http://dx.doi.org/10.1038/s41391-018-0075-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1106149927

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30108376


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biopsy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Disease Management", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Processing, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prostatic Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Publication Bias", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Minnesota", 
          "id": "https://www.grid.ac/institutes/grid.17635.36", 
          "name": [
            "University of Melbourne, Department of Surgery, Urology Unit and Olivia Newton-John Cancer Centre, Austin Health, Melbourne, Victoria, Australia", 
            "Department of Urology, University of Minnesota, Minneapolis, Minnesota, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sathianathen", 
        "givenName": "Niranjan J.", 
        "id": "sg:person.0631401666.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0631401666.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Melbourne", 
          "id": "https://www.grid.ac/institutes/grid.1008.9", 
          "name": [
            "University of Melbourne, Department of Surgery, Urology Unit and Olivia Newton-John Cancer Centre, Austin Health, Melbourne, Victoria, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Butaney", 
        "givenName": "Mohit", 
        "id": "sg:person.01157007311.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157007311.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Minnesota", 
          "id": "https://www.grid.ac/institutes/grid.17635.36", 
          "name": [
            "Department of Urology, University of Minnesota, Minneapolis, Minnesota, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bongiorno", 
        "givenName": "Connie", 
        "id": "sg:person.011132253355.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011132253355.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Minnesota", 
          "id": "https://www.grid.ac/institutes/grid.17635.36", 
          "name": [
            "Department of Urology, University of Minnesota, Minneapolis, Minnesota, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Konety", 
        "givenName": "Badrinath R.", 
        "id": "sg:person.01370250652.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01370250652.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Melbourne", 
          "id": "https://www.grid.ac/institutes/grid.1008.9", 
          "name": [
            "University of Melbourne, Department of Surgery, Urology Unit and Olivia Newton-John Cancer Centre, Austin Health, Melbourne, Victoria, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bolton", 
        "givenName": "Damien M.", 
        "id": "sg:person.01302361633.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01302361633.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Peter MacCallum Cancer Centre", 
          "id": "https://www.grid.ac/institutes/grid.1055.1", 
          "name": [
            "University of Melbourne, Department of Surgery, Urology Unit and Olivia Newton-John Cancer Centre, Austin Health, Melbourne, Victoria, Australia", 
            "Department of Surgical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lawrentschuk", 
        "givenName": "Nathan", 
        "id": "sg:person.01073365332.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01073365332.16"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00330-014-3159-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002128764", 
          "https://doi.org/10.1007/s00330-014-3159-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.juro.2012.10.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002169048"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.juro.2013.04.043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002426032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.327.7414.557", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005003882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.juro.2014.07.098", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010161810"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2014.03.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010907329"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2014.10.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011751562"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.acra.2014.11.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014826878"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00120-016-0093-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014933894", 
          "https://doi.org/10.1007/s00120-016-0093-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/bju.12892", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016775401"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.juro.2011.07.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022258214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/bju.13711", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022584503"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.29874", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026993924"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2014.11.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028488063"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.2014.17942", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028579655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2014.10.033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032840355"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2016.07.041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033528312"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pros.22622", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034180137"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0197-2456(86)90046-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034546744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0197-2456(86)90046-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034546744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/bju.13258", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034872009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2015.06.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042797114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/pcan.2016.16", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042826261", 
          "https://doi.org/10.1038/pcan.2016.16"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.clgc.2016.07.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043672551"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00120-015-3980-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047145483", 
          "https://doi.org/10.1007/s00120-015-3980-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.11102066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049636952"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2016/3794738", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053035218"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(16)32401-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053755600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01621459.1927.10502953", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058297263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.315.7109.629", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062780726"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.315.7109.629", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062780726"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-155-8-201110180-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073712514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mri.2017.01.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074228890"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mri.2017.01.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074228890"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mri.2017.01.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074228890"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mri.2017.01.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074228890"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-5347(17)38663-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079183735"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.16.17322", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083856381"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/21681805.2017.1313310", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085469709"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.21873/anticanres.11695", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085763661"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajur.2017.07.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090605968"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.urology.2017.08.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091418573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrurol.2017.185", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092575839", 
          "https://doi.org/10.1038/nrurol.2017.185"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrurol.2017.216", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100090387", 
          "https://doi.org/10.1038/nrurol.2017.216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1801993", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101566851"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03", 
    "datePublishedReg": "2019-03-01", 
    "description": "BACKGROUND: Although magnetic resonance imaging and subsequent targeted biopsy ('MRI pathway') have been widely adopted in routine clinical practice, it is still a common practice to perform systematic biopsy concurrently, because the accuracy of the MRI pathway is yet to be fully defined. This systematic review of the literature assessed the sensitivity of the MRI pathway for detecting clinically significant prostate cancer.\nMETHODS: Multiple databases were searched up to May 2017 according to the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) statement for studies assessing the accuracy of MR-guided biopsy (MRGB) compared to a reference standard which consisted of both MRGB and systematic biopsy with at least 20-cores. The primary outcome was the sensitivity of detecting clinically significant prostate cancer defined as Gleason \u22657 disease.\nRESULTS: A total of 15 studies met the predefined inclusion criteria. Overall, studies were assessed to be of low quality with inadequate blinding of personnel, which could introduce performance and detection bias. The calculated summary sensitivity of the MRI pathway was 78.3% [95%CI 75.0-81.4%]. There was moderate heterogeneity between the included studies (I2\u2009=\u200936%). Subgroup analysis was performed based on clinical setting, the strength of MRI magnet and mode of image fusion as factors but no interaction was identified between any of the subgroups. No publication bias was identified.\nCONCLUSION: The MRI pathway cannot yet be solely relied upon to diagnose clinically significant disease and hence additional systematic sampling should still be performed during the biopsy procedure.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41391-018-0075-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1119336", 
        "issn": [
          "1365-7852", 
          "1476-5608"
        ], 
        "name": "Prostate Cancer and Prostatic Diseases", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "22"
      }
    ], 
    "name": "Accuracy of the magnetic resonance imaging pathway in the detection of prostate cancer: a systematic review and meta-analysis", 
    "pagination": "39-48", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "673570caf26a45705ab5364c839c3e32d0fed537e2de72d652d51cdf10060c74"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30108376"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9815755"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41391-018-0075-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1106149927"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41391-018-0075-4", 
      "https://app.dimensions.ai/details/publication/pub.1106149927"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:58", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000359_0000000359/records_29222_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41391-018-0075-4"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41391-018-0075-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41391-018-0075-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41391-018-0075-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41391-018-0075-4'


 

This table displays all metadata directly associated to this object as RDF triples.

278 TRIPLES      21 PREDICATES      79 URIs      31 LITERALS      19 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41391-018-0075-4 schema:about N121ecac7f151491eae5802b25e1d1151
2 N2b1a4b7272314d0e9c96d4de3b9f5dc8
3 N4df0521a37fd42499f29f3f21da9361a
4 N79cbac8d84bd425bbce92bcf134af466
5 N87069629524a43919b0246b52f7786bc
6 N8dd04218f6c445b4b40c05979a48a523
7 N95d25332f20743a18a55aa0d4e2c2bf7
8 Nb0e9960109804c3296064eec14a48626
9 Ne22b5303902148fbbf7b561f13fceaff
10 Neb3116de789d4811bb3f9e0d56093ef9
11 anzsrc-for:11
12 anzsrc-for:1103
13 schema:author N743b724124aa49119824e9582fde2aa6
14 schema:citation sg:pub.10.1007/s00120-015-3980-3
15 sg:pub.10.1007/s00120-016-0093-6
16 sg:pub.10.1007/s00330-014-3159-0
17 sg:pub.10.1038/nrurol.2017.185
18 sg:pub.10.1038/nrurol.2017.216
19 sg:pub.10.1038/pcan.2016.16
20 https://doi.org/10.1001/jama.2014.17942
21 https://doi.org/10.1002/cncr.29874
22 https://doi.org/10.1002/pros.22622
23 https://doi.org/10.1016/0197-2456(86)90046-2
24 https://doi.org/10.1016/j.acra.2014.11.007
25 https://doi.org/10.1016/j.ajur.2017.07.001
26 https://doi.org/10.1016/j.clgc.2016.07.007
27 https://doi.org/10.1016/j.eururo.2014.03.002
28 https://doi.org/10.1016/j.eururo.2014.10.026
29 https://doi.org/10.1016/j.eururo.2014.10.033
30 https://doi.org/10.1016/j.eururo.2014.11.037
31 https://doi.org/10.1016/j.eururo.2015.06.008
32 https://doi.org/10.1016/j.eururo.2016.07.041
33 https://doi.org/10.1016/j.juro.2011.07.013
34 https://doi.org/10.1016/j.juro.2012.10.009
35 https://doi.org/10.1016/j.juro.2013.04.043
36 https://doi.org/10.1016/j.juro.2014.07.098
37 https://doi.org/10.1016/j.mri.2017.01.017
38 https://doi.org/10.1016/j.urology.2017.08.028
39 https://doi.org/10.1016/s0022-5347(17)38663-9
40 https://doi.org/10.1016/s0140-6736(16)32401-1
41 https://doi.org/10.1056/nejmoa1801993
42 https://doi.org/10.1080/01621459.1927.10502953
43 https://doi.org/10.1080/21681805.2017.1313310
44 https://doi.org/10.1111/bju.12892
45 https://doi.org/10.1111/bju.13258
46 https://doi.org/10.1111/bju.13711
47 https://doi.org/10.1136/bmj.315.7109.629
48 https://doi.org/10.1136/bmj.327.7414.557
49 https://doi.org/10.1148/radiol.11102066
50 https://doi.org/10.1155/2016/3794738
51 https://doi.org/10.21873/anticanres.11695
52 https://doi.org/10.2214/ajr.16.17322
53 https://doi.org/10.7326/0003-4819-155-8-201110180-00009
54 schema:datePublished 2019-03
55 schema:datePublishedReg 2019-03-01
56 schema:description BACKGROUND: Although magnetic resonance imaging and subsequent targeted biopsy ('MRI pathway') have been widely adopted in routine clinical practice, it is still a common practice to perform systematic biopsy concurrently, because the accuracy of the MRI pathway is yet to be fully defined. This systematic review of the literature assessed the sensitivity of the MRI pathway for detecting clinically significant prostate cancer. METHODS: Multiple databases were searched up to May 2017 according to the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) statement for studies assessing the accuracy of MR-guided biopsy (MRGB) compared to a reference standard which consisted of both MRGB and systematic biopsy with at least 20-cores. The primary outcome was the sensitivity of detecting clinically significant prostate cancer defined as Gleason ≥7 disease. RESULTS: A total of 15 studies met the predefined inclusion criteria. Overall, studies were assessed to be of low quality with inadequate blinding of personnel, which could introduce performance and detection bias. The calculated summary sensitivity of the MRI pathway was 78.3% [95%CI 75.0-81.4%]. There was moderate heterogeneity between the included studies (I2 = 36%). Subgroup analysis was performed based on clinical setting, the strength of MRI magnet and mode of image fusion as factors but no interaction was identified between any of the subgroups. No publication bias was identified. CONCLUSION: The MRI pathway cannot yet be solely relied upon to diagnose clinically significant disease and hence additional systematic sampling should still be performed during the biopsy procedure.
57 schema:genre research_article
58 schema:inLanguage en
59 schema:isAccessibleForFree false
60 schema:isPartOf N825d4108511546778f368cfbd865a89d
61 Na6bdf71aa8c642d493ea9ef19a1e5690
62 sg:journal.1119336
63 schema:name Accuracy of the magnetic resonance imaging pathway in the detection of prostate cancer: a systematic review and meta-analysis
64 schema:pagination 39-48
65 schema:productId N70b00b0297a34149a1899fededca91aa
66 N98502e27032c4eff975e6cfade161823
67 Nbafdc63490a141b689d6aa9891abc13e
68 Nc31692b2afc74f24ac0f493a0e8d7670
69 Nc4996dea49e2477d862a85270e247998
70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106149927
71 https://doi.org/10.1038/s41391-018-0075-4
72 schema:sdDatePublished 2019-04-11T11:58
73 schema:sdLicense https://scigraph.springernature.com/explorer/license/
74 schema:sdPublisher N3f4e38b63e5747fba3e68863e7bea8e1
75 schema:url https://www.nature.com/articles/s41391-018-0075-4
76 sgo:license sg:explorer/license/
77 sgo:sdDataset articles
78 rdf:type schema:ScholarlyArticle
79 N121ecac7f151491eae5802b25e1d1151 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
80 schema:name Humans
81 rdf:type schema:DefinedTerm
82 N2b1a4b7272314d0e9c96d4de3b9f5dc8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Publication Bias
84 rdf:type schema:DefinedTerm
85 N3f4e38b63e5747fba3e68863e7bea8e1 schema:name Springer Nature - SN SciGraph project
86 rdf:type schema:Organization
87 N4c698c07d27d48e0b219088b3c947e4f rdf:first sg:person.01073365332.16
88 rdf:rest rdf:nil
89 N4df0521a37fd42499f29f3f21da9361a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Reproducibility of Results
91 rdf:type schema:DefinedTerm
92 N70b00b0297a34149a1899fededca91aa schema:name nlm_unique_id
93 schema:value 9815755
94 rdf:type schema:PropertyValue
95 N743b724124aa49119824e9582fde2aa6 rdf:first sg:person.0631401666.59
96 rdf:rest Nbe2278305de0466f9d36c332012f4f0c
97 N79cbac8d84bd425bbce92bcf134af466 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Biopsy
99 rdf:type schema:DefinedTerm
100 N825d4108511546778f368cfbd865a89d schema:issueNumber 1
101 rdf:type schema:PublicationIssue
102 N87069629524a43919b0246b52f7786bc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Magnetic Resonance Imaging
104 rdf:type schema:DefinedTerm
105 N887e742a68fa4812bc58e329d3a67c65 rdf:first sg:person.01370250652.09
106 rdf:rest Ne8a73ab61599435bb15bbae11e76e947
107 N8dd04218f6c445b4b40c05979a48a523 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Disease Management
109 rdf:type schema:DefinedTerm
110 N95d25332f20743a18a55aa0d4e2c2bf7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Image Processing, Computer-Assisted
112 rdf:type schema:DefinedTerm
113 N98502e27032c4eff975e6cfade161823 schema:name pubmed_id
114 schema:value 30108376
115 rdf:type schema:PropertyValue
116 Na6bdf71aa8c642d493ea9ef19a1e5690 schema:volumeNumber 22
117 rdf:type schema:PublicationVolume
118 Nb0e9960109804c3296064eec14a48626 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Male
120 rdf:type schema:DefinedTerm
121 Nbafdc63490a141b689d6aa9891abc13e schema:name readcube_id
122 schema:value 673570caf26a45705ab5364c839c3e32d0fed537e2de72d652d51cdf10060c74
123 rdf:type schema:PropertyValue
124 Nbe2278305de0466f9d36c332012f4f0c rdf:first sg:person.01157007311.23
125 rdf:rest Nec9808ba4cca4b46a45ae455fc728a1b
126 Nc31692b2afc74f24ac0f493a0e8d7670 schema:name dimensions_id
127 schema:value pub.1106149927
128 rdf:type schema:PropertyValue
129 Nc4996dea49e2477d862a85270e247998 schema:name doi
130 schema:value 10.1038/s41391-018-0075-4
131 rdf:type schema:PropertyValue
132 Ne22b5303902148fbbf7b561f13fceaff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Prostatic Neoplasms
134 rdf:type schema:DefinedTerm
135 Ne8a73ab61599435bb15bbae11e76e947 rdf:first sg:person.01302361633.27
136 rdf:rest N4c698c07d27d48e0b219088b3c947e4f
137 Neb3116de789d4811bb3f9e0d56093ef9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Sensitivity and Specificity
139 rdf:type schema:DefinedTerm
140 Nec9808ba4cca4b46a45ae455fc728a1b rdf:first sg:person.011132253355.04
141 rdf:rest N887e742a68fa4812bc58e329d3a67c65
142 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
143 schema:name Medical and Health Sciences
144 rdf:type schema:DefinedTerm
145 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
146 schema:name Clinical Sciences
147 rdf:type schema:DefinedTerm
148 sg:journal.1119336 schema:issn 1365-7852
149 1476-5608
150 schema:name Prostate Cancer and Prostatic Diseases
151 rdf:type schema:Periodical
152 sg:person.01073365332.16 schema:affiliation https://www.grid.ac/institutes/grid.1055.1
153 schema:familyName Lawrentschuk
154 schema:givenName Nathan
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01073365332.16
156 rdf:type schema:Person
157 sg:person.011132253355.04 schema:affiliation https://www.grid.ac/institutes/grid.17635.36
158 schema:familyName Bongiorno
159 schema:givenName Connie
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011132253355.04
161 rdf:type schema:Person
162 sg:person.01157007311.23 schema:affiliation https://www.grid.ac/institutes/grid.1008.9
163 schema:familyName Butaney
164 schema:givenName Mohit
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157007311.23
166 rdf:type schema:Person
167 sg:person.01302361633.27 schema:affiliation https://www.grid.ac/institutes/grid.1008.9
168 schema:familyName Bolton
169 schema:givenName Damien M.
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01302361633.27
171 rdf:type schema:Person
172 sg:person.01370250652.09 schema:affiliation https://www.grid.ac/institutes/grid.17635.36
173 schema:familyName Konety
174 schema:givenName Badrinath R.
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01370250652.09
176 rdf:type schema:Person
177 sg:person.0631401666.59 schema:affiliation https://www.grid.ac/institutes/grid.17635.36
178 schema:familyName Sathianathen
179 schema:givenName Niranjan J.
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0631401666.59
181 rdf:type schema:Person
182 sg:pub.10.1007/s00120-015-3980-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047145483
183 https://doi.org/10.1007/s00120-015-3980-3
184 rdf:type schema:CreativeWork
185 sg:pub.10.1007/s00120-016-0093-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014933894
186 https://doi.org/10.1007/s00120-016-0093-6
187 rdf:type schema:CreativeWork
188 sg:pub.10.1007/s00330-014-3159-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002128764
189 https://doi.org/10.1007/s00330-014-3159-0
190 rdf:type schema:CreativeWork
191 sg:pub.10.1038/nrurol.2017.185 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092575839
192 https://doi.org/10.1038/nrurol.2017.185
193 rdf:type schema:CreativeWork
194 sg:pub.10.1038/nrurol.2017.216 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100090387
195 https://doi.org/10.1038/nrurol.2017.216
196 rdf:type schema:CreativeWork
197 sg:pub.10.1038/pcan.2016.16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042826261
198 https://doi.org/10.1038/pcan.2016.16
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1001/jama.2014.17942 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028579655
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1002/cncr.29874 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026993924
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1002/pros.22622 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034180137
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/0197-2456(86)90046-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034546744
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/j.acra.2014.11.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014826878
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/j.ajur.2017.07.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090605968
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/j.clgc.2016.07.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043672551
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/j.eururo.2014.03.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010907329
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/j.eururo.2014.10.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011751562
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/j.eururo.2014.10.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032840355
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/j.eururo.2014.11.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028488063
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/j.eururo.2015.06.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042797114
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1016/j.eururo.2016.07.041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033528312
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1016/j.juro.2011.07.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022258214
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/j.juro.2012.10.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002169048
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/j.juro.2013.04.043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002426032
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/j.juro.2014.07.098 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010161810
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1016/j.mri.2017.01.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074228890
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1016/j.urology.2017.08.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091418573
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1016/s0022-5347(17)38663-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079183735
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1016/s0140-6736(16)32401-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053755600
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1056/nejmoa1801993 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101566851
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1080/01621459.1927.10502953 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058297263
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1080/21681805.2017.1313310 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085469709
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1111/bju.12892 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016775401
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1111/bju.13258 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034872009
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1111/bju.13711 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022584503
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1136/bmj.315.7109.629 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062780726
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1136/bmj.327.7414.557 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005003882
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1148/radiol.11102066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049636952
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1155/2016/3794738 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053035218
261 rdf:type schema:CreativeWork
262 https://doi.org/10.21873/anticanres.11695 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085763661
263 rdf:type schema:CreativeWork
264 https://doi.org/10.2214/ajr.16.17322 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083856381
265 rdf:type schema:CreativeWork
266 https://doi.org/10.7326/0003-4819-155-8-201110180-00009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073712514
267 rdf:type schema:CreativeWork
268 https://www.grid.ac/institutes/grid.1008.9 schema:alternateName University of Melbourne
269 schema:name University of Melbourne, Department of Surgery, Urology Unit and Olivia Newton-John Cancer Centre, Austin Health, Melbourne, Victoria, Australia
270 rdf:type schema:Organization
271 https://www.grid.ac/institutes/grid.1055.1 schema:alternateName Peter MacCallum Cancer Centre
272 schema:name Department of Surgical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
273 University of Melbourne, Department of Surgery, Urology Unit and Olivia Newton-John Cancer Centre, Austin Health, Melbourne, Victoria, Australia
274 rdf:type schema:Organization
275 https://www.grid.ac/institutes/grid.17635.36 schema:alternateName University of Minnesota
276 schema:name Department of Urology, University of Minnesota, Minneapolis, Minnesota, USA
277 University of Melbourne, Department of Surgery, Urology Unit and Olivia Newton-John Cancer Centre, Austin Health, Melbourne, Victoria, Australia
278 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...