Updated prostate imaging reporting and data system (PIRADS v2) recommendations for the detection of clinically significant prostate cancer using multiparametric ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-06

AUTHORS

H. A. Vargas, A. M. Hötker, D. A. Goldman, C. S. Moskowitz, T. Gondo, K. Matsumoto, B. Ehdaie, S. Woo, S. W. Fine, V. E. Reuter, E. Sala, H. Hricak

ABSTRACT

OBJECTIVES: To evaluate the recommendations for multiparametric prostate MRI (mp-MRI) interpretation introduced in the recently updated Prostate Imaging Reporting and Data System version 2 (PI-RADSv2), and investigate the impact of pathologic tumour volume on prostate cancer (PCa) detectability on mpMRI. METHODS: This was an institutional review board (IRB)-approved, retrospective study of 150 PCa patients who underwent mp-MRI before prostatectomy; 169 tumours ≥0.5-mL (any Gleason Score [GS]) and 37 tumours <0.5-mL (GS ≥4+3) identified on whole-mount pathology maps were located on mp-MRI consisting of T2-weighted imaging (T2WI), diffusion-weighted (DW)-MRI, and dynamic contrast-enhanced (DCE)-MRI. Corresponding PI-RADSv2 scores were assigned on each sequence and combined as recommended by PI-RADSv2. We calculated the proportion of PCa foci on whole-mount pathology correctly identified with PI-RADSv2 (dichotomized scores 1-3 vs. 4-5), stratified by pathologic tumour volume. RESULTS: PI-RADSv2 allowed correct identification of 118/125 (94 %; 95 %CI: 90-99 %) peripheral zone (PZ) and 42/44 (95 %; 95 %CI: 89-100 %) transition zone (TZ) tumours ≥0.5 mL, but only 7/27 (26 %; 95 %CI: 10-42 %) PZ and 2/10 (20 %; 95 %CI: 0-52 %) TZ tumours with a GS ≥4+3, but <0.5 mL. DCE-MRI aided detection of 4/125 PZ tumours ≥0.5 mL and 0/27 PZ tumours <0.5 mL. CONCLUSIONS: PI-RADSv2 correctly identified 94-95 % of PCa foci ≥0.5 mL, but was limited for the assessment of GS ≥4+3 tumours ≤0.5 mL. DCE-MRI offered limited added value to T2WI+DW-MRI. KEY POINTS: • PI-RADSv2 correctly identified 95 % of PCa foci ≥0.5 mL • PI-RADSv2 was limited for the assessment of GS ≥4+3 tumours ≤0.5 mL • DCE-MRI offered limited added value to T2WI+DW-MRI. More... »

PAGES

1606-1612

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00330-015-4015-6

DOI

http://dx.doi.org/10.1007/s00330-015-4015-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1028215677

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26396111


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/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "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": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "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": "Practice Guidelines as Topic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prostate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prostatic Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiology Information Systems", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Av, room C278, 10065, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vargas", 
        "givenName": "H. A.", 
        "id": "sg:person.01177421777.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01177421777.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Av, room C278, 10065, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "H\u00f6tker", 
        "givenName": "A. M.", 
        "id": "sg:person.0626215223.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626215223.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 1275 York Av., 10065, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Goldman", 
        "givenName": "D. A.", 
        "id": "sg:person.01223067666.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223067666.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 1275 York Av., 10065, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moskowitz", 
        "givenName": "C. S.", 
        "id": "sg:person.012032456077.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012032456077.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Av., 10065, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gondo", 
        "givenName": "T.", 
        "id": "sg:person.01046122403.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046122403.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Av., 10065, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matsumoto", 
        "givenName": "K.", 
        "id": "sg:person.0647271317.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647271317.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Av., 10065, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ehdaie", 
        "givenName": "B.", 
        "id": "sg:person.016570444741.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016570444741.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Av, room C278, 10065, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Woo", 
        "givenName": "S.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Av., 10065, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fine", 
        "givenName": "S. W.", 
        "id": "sg:person.011710216242.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011710216242.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Av., 10065, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Reuter", 
        "givenName": "V. E.", 
        "id": "sg:person.014005711417.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014005711417.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Av, room C278, 10065, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sala", 
        "givenName": "E.", 
        "id": "sg:person.01020541303.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020541303.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Av, room C278, 10065, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hricak", 
        "givenName": "H.", 
        "id": "sg:person.015142110417.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015142110417.35"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1148/radiol.14131584", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012891277"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-14-0247", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015691384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-015-3701-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022449857", 
          "https://doi.org/10.1007/s00330-015-3701-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2011.05.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026835954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.12120041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032530727"
        ], 
        "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/10.3322/caac.21208", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041182772"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-011-2377-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041692485", 
          "https://doi.org/10.1007/s00330-011-2377-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.13122233", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044629168"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2013.12.062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046198744"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-06", 
    "datePublishedReg": "2016-06-01", 
    "description": "OBJECTIVES: To evaluate the recommendations for multiparametric prostate MRI (mp-MRI) interpretation introduced in the recently updated Prostate Imaging Reporting and Data System version 2 (PI-RADSv2), and investigate the impact of pathologic tumour volume on prostate cancer (PCa) detectability on mpMRI.\nMETHODS: This was an institutional review board (IRB)-approved, retrospective study of 150 PCa patients who underwent mp-MRI before prostatectomy; 169 tumours \u22650.5-mL (any Gleason Score [GS]) and 37 tumours <0.5-mL (GS \u22654+3) identified on whole-mount pathology maps were located on mp-MRI consisting of T2-weighted imaging (T2WI), diffusion-weighted (DW)-MRI, and dynamic contrast-enhanced (DCE)-MRI. Corresponding PI-RADSv2 scores were assigned on each sequence and combined as recommended by PI-RADSv2. We calculated the proportion of PCa foci on whole-mount pathology correctly identified with PI-RADSv2 (dichotomized scores 1-3 vs. 4-5), stratified by pathologic tumour volume.\nRESULTS: PI-RADSv2 allowed correct identification of 118/125 (94\u00a0%; 95 %CI: 90-99\u00a0%) peripheral zone (PZ) and 42/44 (95\u00a0%; 95 %CI: 89-100\u00a0%) transition zone (TZ) tumours \u22650.5\u00a0mL, but only 7/27 (26\u00a0%; 95 %CI: 10-42\u00a0%) PZ and 2/10 (20\u00a0%; 95 %CI: 0-52\u00a0%) TZ tumours with a GS \u22654+3, but <0.5\u00a0mL. DCE-MRI aided detection of 4/125 PZ tumours \u22650.5\u00a0mL and 0/27 PZ tumours <0.5\u00a0mL.\nCONCLUSIONS: PI-RADSv2 correctly identified 94-95\u00a0% of PCa foci \u22650.5\u00a0mL, but was limited for the assessment of GS \u22654+3 tumours \u22640.5\u00a0mL. DCE-MRI offered limited added value to T2WI+DW-MRI.\nKEY POINTS: \u2022 PI-RADSv2 correctly identified 95\u00a0% of PCa foci \u22650.5\u00a0mL \u2022 PI-RADSv2 was limited for the assessment of GS \u22654+3 tumours \u22640.5\u00a0mL \u2022 DCE-MRI offered limited added value to T2WI+DW-MRI.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00330-015-4015-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2438793", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1289120", 
        "issn": [
          "0938-7994", 
          "1432-1084"
        ], 
        "name": "European Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "26"
      }
    ], 
    "name": "Updated prostate imaging reporting and data system (PIRADS v2) recommendations for the detection of clinically significant prostate cancer using multiparametric MRI: critical evaluation using whole-mount pathology as standard of reference", 
    "pagination": "1606-1612", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8669c339e21c64619ac860262daefe215e12ffb5a2a85bf6b668b0d1c4c1d561"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26396111"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9114774"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00330-015-4015-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1028215677"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00330-015-4015-6", 
      "https://app.dimensions.ai/details/publication/pub.1028215677"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:26", 
    "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/v90/0000000001_0000000264/records_8672_00000488.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00330-015-4015-6"
  }
]
 

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.10.1007/s00330-015-4015-6'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00330-015-4015-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-015-4015-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-015-4015-6'


 

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

218 TRIPLES      21 PREDICATES      48 URIs      30 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00330-015-4015-6 schema:about N11d67d9f43da4c3c93b4778dde913efd
2 N46140e80ddc745c09da8d6e29b44f863
3 N707232d2ee0441babba2b6761fdf45a0
4 N932edb419a774755bd6333813045b527
5 N9d8ca5faf26f477facfbf28066a1f774
6 Na48c4f9b67dd40ac8d62b2b2ee0ae909
7 Nc118319ed33740f9be6dcaadd43b9401
8 Ncdf3a137873144cb814687c1fed70933
9 Nd9906ff35b5c498b94859dc087e7e447
10 anzsrc-for:11
11 anzsrc-for:1112
12 schema:author N0eaf194bcd3c44a1827a7eb697a93149
13 schema:citation sg:pub.10.1007/s00330-011-2377-y
14 sg:pub.10.1007/s00330-015-3701-8
15 https://doi.org/10.1016/j.eururo.2011.05.006
16 https://doi.org/10.1016/j.eururo.2013.12.062
17 https://doi.org/10.1016/j.eururo.2014.10.033
18 https://doi.org/10.1148/radiol.12120041
19 https://doi.org/10.1148/radiol.13122233
20 https://doi.org/10.1148/radiol.14131584
21 https://doi.org/10.1158/1078-0432.ccr-14-0247
22 https://doi.org/10.3322/caac.21208
23 schema:datePublished 2016-06
24 schema:datePublishedReg 2016-06-01
25 schema:description OBJECTIVES: To evaluate the recommendations for multiparametric prostate MRI (mp-MRI) interpretation introduced in the recently updated Prostate Imaging Reporting and Data System version 2 (PI-RADSv2), and investigate the impact of pathologic tumour volume on prostate cancer (PCa) detectability on mpMRI. METHODS: This was an institutional review board (IRB)-approved, retrospective study of 150 PCa patients who underwent mp-MRI before prostatectomy; 169 tumours ≥0.5-mL (any Gleason Score [GS]) and 37 tumours <0.5-mL (GS ≥4+3) identified on whole-mount pathology maps were located on mp-MRI consisting of T2-weighted imaging (T2WI), diffusion-weighted (DW)-MRI, and dynamic contrast-enhanced (DCE)-MRI. Corresponding PI-RADSv2 scores were assigned on each sequence and combined as recommended by PI-RADSv2. We calculated the proportion of PCa foci on whole-mount pathology correctly identified with PI-RADSv2 (dichotomized scores 1-3 vs. 4-5), stratified by pathologic tumour volume. RESULTS: PI-RADSv2 allowed correct identification of 118/125 (94 %; 95 %CI: 90-99 %) peripheral zone (PZ) and 42/44 (95 %; 95 %CI: 89-100 %) transition zone (TZ) tumours ≥0.5 mL, but only 7/27 (26 %; 95 %CI: 10-42 %) PZ and 2/10 (20 %; 95 %CI: 0-52 %) TZ tumours with a GS ≥4+3, but <0.5 mL. DCE-MRI aided detection of 4/125 PZ tumours ≥0.5 mL and 0/27 PZ tumours <0.5 mL. CONCLUSIONS: PI-RADSv2 correctly identified 94-95 % of PCa foci ≥0.5 mL, but was limited for the assessment of GS ≥4+3 tumours ≤0.5 mL. DCE-MRI offered limited added value to T2WI+DW-MRI. KEY POINTS: • PI-RADSv2 correctly identified 95 % of PCa foci ≥0.5 mL • PI-RADSv2 was limited for the assessment of GS ≥4+3 tumours ≤0.5 mL • DCE-MRI offered limited added value to T2WI+DW-MRI.
26 schema:genre research_article
27 schema:inLanguage en
28 schema:isAccessibleForFree true
29 schema:isPartOf N09db2dab5d114fe3afb42daf00a2cb94
30 N540257a6a6f24108a500df077326ca05
31 sg:journal.1289120
32 schema:name Updated prostate imaging reporting and data system (PIRADS v2) recommendations for the detection of clinically significant prostate cancer using multiparametric MRI: critical evaluation using whole-mount pathology as standard of reference
33 schema:pagination 1606-1612
34 schema:productId N1a3cae0cdefb49f3b22d1e60f68a3875
35 N7a1d178c0787439895bbd600d9981e59
36 N82dcd4822ee44ecaa4cedb731bd7def5
37 Nac2424269b0c4d8c9bc1d7af88ecb69a
38 Nb55c616325ad44a0b7b713358c0dff6e
39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028215677
40 https://doi.org/10.1007/s00330-015-4015-6
41 schema:sdDatePublished 2019-04-10T17:26
42 schema:sdLicense https://scigraph.springernature.com/explorer/license/
43 schema:sdPublisher Nb96aa8af83e64dba96171d8fcb6c3e00
44 schema:url http://link.springer.com/10.1007/s00330-015-4015-6
45 sgo:license sg:explorer/license/
46 sgo:sdDataset articles
47 rdf:type schema:ScholarlyArticle
48 N09db2dab5d114fe3afb42daf00a2cb94 schema:volumeNumber 26
49 rdf:type schema:PublicationVolume
50 N0eaf194bcd3c44a1827a7eb697a93149 rdf:first sg:person.01177421777.26
51 rdf:rest N1591762e4e8b41f5aa18459c489d7a56
52 N11d67d9f43da4c3c93b4778dde913efd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
53 schema:name Male
54 rdf:type schema:DefinedTerm
55 N1591762e4e8b41f5aa18459c489d7a56 rdf:first sg:person.0626215223.32
56 rdf:rest N468ad227249042ecbdba6bcb04bc0e1c
57 N1a3cae0cdefb49f3b22d1e60f68a3875 schema:name dimensions_id
58 schema:value pub.1028215677
59 rdf:type schema:PropertyValue
60 N2c49cb6ef4a0493697defe5ecacd5e40 rdf:first Nfe66d837d3154af59fc6a894468d4c5b
61 rdf:rest Ne71aa9fe7ce744518ef63a052b699d2c
62 N46140e80ddc745c09da8d6e29b44f863 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
63 schema:name Aged
64 rdf:type schema:DefinedTerm
65 N468ad227249042ecbdba6bcb04bc0e1c rdf:first sg:person.01223067666.11
66 rdf:rest Nff00c1138c6d47c0842b010e4381e25f
67 N540257a6a6f24108a500df077326ca05 schema:issueNumber 6
68 rdf:type schema:PublicationIssue
69 N707232d2ee0441babba2b6761fdf45a0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
70 schema:name Retrospective Studies
71 rdf:type schema:DefinedTerm
72 N79210275260f4e9eaefd26c72877cfa1 rdf:first sg:person.0647271317.87
73 rdf:rest Nc340d290a227498fad3df50d073de5f4
74 N7a1d178c0787439895bbd600d9981e59 schema:name pubmed_id
75 schema:value 26396111
76 rdf:type schema:PropertyValue
77 N82dcd4822ee44ecaa4cedb731bd7def5 schema:name readcube_id
78 schema:value 8669c339e21c64619ac860262daefe215e12ffb5a2a85bf6b668b0d1c4c1d561
79 rdf:type schema:PropertyValue
80 N9244e039e0384b4f961ea8cec5f92c73 rdf:first sg:person.015142110417.35
81 rdf:rest rdf:nil
82 N932edb419a774755bd6333813045b527 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Prostatic Neoplasms
84 rdf:type schema:DefinedTerm
85 N9d8ca5faf26f477facfbf28066a1f774 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Practice Guidelines as Topic
87 rdf:type schema:DefinedTerm
88 Na48c4f9b67dd40ac8d62b2b2ee0ae909 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Radiology Information Systems
90 rdf:type schema:DefinedTerm
91 Nac2424269b0c4d8c9bc1d7af88ecb69a schema:name nlm_unique_id
92 schema:value 9114774
93 rdf:type schema:PropertyValue
94 Nb2f6c790a8a649afa27e0b9003660be2 rdf:first sg:person.01020541303.04
95 rdf:rest N9244e039e0384b4f961ea8cec5f92c73
96 Nb55c616325ad44a0b7b713358c0dff6e schema:name doi
97 schema:value 10.1007/s00330-015-4015-6
98 rdf:type schema:PropertyValue
99 Nb96aa8af83e64dba96171d8fcb6c3e00 schema:name Springer Nature - SN SciGraph project
100 rdf:type schema:Organization
101 Nc118319ed33740f9be6dcaadd43b9401 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Humans
103 rdf:type schema:DefinedTerm
104 Nc340d290a227498fad3df50d073de5f4 rdf:first sg:person.016570444741.21
105 rdf:rest N2c49cb6ef4a0493697defe5ecacd5e40
106 Nc34b1616beec478aa0e06c5256097ed0 rdf:first sg:person.01046122403.23
107 rdf:rest N79210275260f4e9eaefd26c72877cfa1
108 Ncdf3a137873144cb814687c1fed70933 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Prostate
110 rdf:type schema:DefinedTerm
111 Nd9906ff35b5c498b94859dc087e7e447 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Magnetic Resonance Imaging
113 rdf:type schema:DefinedTerm
114 Ne71aa9fe7ce744518ef63a052b699d2c rdf:first sg:person.011710216242.24
115 rdf:rest Nee215697d76b4f7a8f7f5b6bacb3a065
116 Nee215697d76b4f7a8f7f5b6bacb3a065 rdf:first sg:person.014005711417.01
117 rdf:rest Nb2f6c790a8a649afa27e0b9003660be2
118 Nfe66d837d3154af59fc6a894468d4c5b schema:affiliation https://www.grid.ac/institutes/grid.51462.34
119 schema:familyName Woo
120 schema:givenName S.
121 rdf:type schema:Person
122 Nff00c1138c6d47c0842b010e4381e25f rdf:first sg:person.012032456077.74
123 rdf:rest Nc34b1616beec478aa0e06c5256097ed0
124 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
125 schema:name Medical and Health Sciences
126 rdf:type schema:DefinedTerm
127 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
128 schema:name Oncology and Carcinogenesis
129 rdf:type schema:DefinedTerm
130 sg:grant.2438793 http://pending.schema.org/fundedItem sg:pub.10.1007/s00330-015-4015-6
131 rdf:type schema:MonetaryGrant
132 sg:journal.1289120 schema:issn 0938-7994
133 1432-1084
134 schema:name European Radiology
135 rdf:type schema:Periodical
136 sg:person.01020541303.04 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
137 schema:familyName Sala
138 schema:givenName E.
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020541303.04
140 rdf:type schema:Person
141 sg:person.01046122403.23 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
142 schema:familyName Gondo
143 schema:givenName T.
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046122403.23
145 rdf:type schema:Person
146 sg:person.011710216242.24 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
147 schema:familyName Fine
148 schema:givenName S. W.
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011710216242.24
150 rdf:type schema:Person
151 sg:person.01177421777.26 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
152 schema:familyName Vargas
153 schema:givenName H. A.
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01177421777.26
155 rdf:type schema:Person
156 sg:person.012032456077.74 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
157 schema:familyName Moskowitz
158 schema:givenName C. S.
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012032456077.74
160 rdf:type schema:Person
161 sg:person.01223067666.11 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
162 schema:familyName Goldman
163 schema:givenName D. A.
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223067666.11
165 rdf:type schema:Person
166 sg:person.014005711417.01 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
167 schema:familyName Reuter
168 schema:givenName V. E.
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014005711417.01
170 rdf:type schema:Person
171 sg:person.015142110417.35 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
172 schema:familyName Hricak
173 schema:givenName H.
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015142110417.35
175 rdf:type schema:Person
176 sg:person.016570444741.21 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
177 schema:familyName Ehdaie
178 schema:givenName B.
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016570444741.21
180 rdf:type schema:Person
181 sg:person.0626215223.32 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
182 schema:familyName Hötker
183 schema:givenName A. M.
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626215223.32
185 rdf:type schema:Person
186 sg:person.0647271317.87 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
187 schema:familyName Matsumoto
188 schema:givenName K.
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647271317.87
190 rdf:type schema:Person
191 sg:pub.10.1007/s00330-011-2377-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1041692485
192 https://doi.org/10.1007/s00330-011-2377-y
193 rdf:type schema:CreativeWork
194 sg:pub.10.1007/s00330-015-3701-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022449857
195 https://doi.org/10.1007/s00330-015-3701-8
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1016/j.eururo.2011.05.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026835954
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1016/j.eururo.2013.12.062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046198744
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1016/j.eururo.2014.10.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032840355
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1148/radiol.12120041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032530727
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1148/radiol.13122233 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044629168
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1148/radiol.14131584 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012891277
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1158/1078-0432.ccr-14-0247 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015691384
210 rdf:type schema:CreativeWork
211 https://doi.org/10.3322/caac.21208 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041182772
212 rdf:type schema:CreativeWork
213 https://www.grid.ac/institutes/grid.51462.34 schema:alternateName Memorial Sloan Kettering Cancer Center
214 schema:name Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 1275 York Av., 10065, New York, NY, USA
215 Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Av., 10065, New York, NY, USA
216 Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Av, room C278, 10065, New York, NY, USA
217 Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Av., 10065, New York, NY, USA
218 rdf:type schema:Organization
 




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


...