Radial scars/complex sclerosing lesions of the breast: radiologic and clinicopathologic correlation View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Su Min Ha, Joo Hee Cha, Hee Jung Shin, Eun Young Chae, Woo Jung Choi, Hak Hee Kim, Ha-Yeon Oh

ABSTRACT

BACKGROUND: We investigated the radiologic and clinical findings of radial scar and complex sclerosing lesions, and evaluated the rate of pathologic upgrade and predicting factors. METHODS: From review of our institution's database from January 2006 to December 2012, we enrolled 82 radial scars/complex sclerosing lesions in 80 women; 51 by ultrasound guided core needle biopsy, 1 by mammography-guided stereotactic biopsy, and 38 by surgical excision. The initial biopsy pathology revealed that 53 lesions were without high risk lesions and 29 were with high risk lesions. Radiologic, clinical and pathological results were analyzed statistically and upgrade rates were calculated. RESULTS: Of the 82 lesions, 64 (78.0%) were surgically excised. After surgical excision, two were upgraded to DCIS and two were upgraded to lesions with high risk lesions. The rate of radial scar with high risk lesions was significantly higher in the surgical excision group (11.1% vs. 42.2%, p = 0.015), which also demonstrated larger lesion size (10.7 ± 6.5 vs. 7.1 ± 2.6 mm, p = 0.001). The diagnoses with high risk lesions on final pathological results showed older age (52.9 ± 6.0 years vs. 48.4 ± 6.7 years, p = 0.018). CONCLUSIONS: Radial scars with and without high risk lesions showed no statistically significant differences in imaging, and gave relatively low cancer upgrade rates. More... »

PAGES

39

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12880-018-0279-z

DOI

http://dx.doi.org/10.1186/s12880-018-0279-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1108019487

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30390667


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Department of Radiology, Research Institute of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, 84 Heukseok-Ro, Dongjak-Gu, 06973, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ha", 
        "givenName": "Su Min", 
        "id": "sg:person.010655024563.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010655024563.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Asan Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.413967.e", 
          "name": [
            "Department of Radiology, Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43 Gil, Songpa-Gu, 05505, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cha", 
        "givenName": "Joo Hee", 
        "id": "sg:person.01007476400.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01007476400.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Asan Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.413967.e", 
          "name": [
            "Department of Radiology, Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43 Gil, Songpa-Gu, 05505, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shin", 
        "givenName": "Hee Jung", 
        "id": "sg:person.01055611600.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055611600.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Asan Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.413967.e", 
          "name": [
            "Department of Radiology, Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43 Gil, Songpa-Gu, 05505, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chae", 
        "givenName": "Eun Young", 
        "id": "sg:person.01011016005.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01011016005.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Asan Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.413967.e", 
          "name": [
            "Department of Radiology, Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43 Gil, Songpa-Gu, 05505, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Choi", 
        "givenName": "Woo Jung", 
        "id": "sg:person.0673250000.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673250000.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Asan Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.413967.e", 
          "name": [
            "Department of Radiology, Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43 Gil, Songpa-Gu, 05505, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Hak Hee", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kangwon National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412011.7", 
          "name": [
            "Department of Radiology, Kangwon National University Hospital, 200-722 Baengnyeong-Ro 156, Chuncheon-Si, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oh", 
        "givenName": "Ha-Yeon", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.5858/arpa.2014-0550-oa", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000093424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.anndiagpath.2014.12.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002213375"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejso.2005.04.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003753260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.anndiagpath.2015.11.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004347630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3348/kjr.2016.17.4.558", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006448929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3348/kjr.2016.17.4.558", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006448929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nbm.1503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006597638"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/nbm.1503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006597638"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.pas.0000152566.78066.d1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011575458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.pas.0000152566.78066.d1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011575458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.acra.2009.10.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012176814"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-006-0196-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014150518", 
          "https://doi.org/10.1007/s00330-006-0196-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-006-0196-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014150518", 
          "https://doi.org/10.1007/s00330-006-0196-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ultrasmedbio.2016.06.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017173049"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rcl.2004.04.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018605649"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.semdp.2009.12.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020580452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1054/brst.1999.0081", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021365048"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.semdp.2003.10.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022975148"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.breast.2016.06.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026328395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/pas.0000000000000393", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028514206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/pas.0000000000000393", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028514206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.breast.2011.09.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030343743"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-008-0119-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032201786", 
          "https://doi.org/10.1007/s10549-008-0119-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10549-014-2958-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033562856", 
          "https://doi.org/10.1007/s10549-014-2958-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12282-015-0598-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034185124", 
          "https://doi.org/10.1007/s12282-015-0598-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-012-2575-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034646087", 
          "https://doi.org/10.1245/s10434-012-2575-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1308/003588411x12851639107953", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037665242"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/coc.0b013e3182354a3f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038797028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/coc.0b013e3182354a3f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038797028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1754-9485.2010.02194.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046246737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1754-9485.2010.02194.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046246737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1075-122x.2005.21530.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046795019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2559.1993.tb01194.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049623074"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2559.1993.tb01194.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049623074"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-007-9454-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052005730", 
          "https://doi.org/10.1245/s10434-007-9454-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.08.1342", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069299649"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.09.2326", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069300050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.11.7040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069301856"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.11.7717", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069302092"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.11.7799", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069302121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.167.1.8659367", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069320189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.174.4.1741075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069323119"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.179.5.1791179", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069325050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075271929", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077291205", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077978640", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078167901", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.17.18156", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091247097"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "BACKGROUND: We investigated the radiologic and clinical findings of radial scar and complex sclerosing lesions, and evaluated the rate of pathologic upgrade and predicting factors.\nMETHODS: From review of our institution's database from January 2006 to December 2012, we enrolled 82 radial scars/complex sclerosing lesions in 80 women; 51 by ultrasound guided core needle biopsy, 1 by mammography-guided stereotactic biopsy, and 38 by surgical excision. The initial biopsy pathology revealed that 53 lesions were without high risk lesions and 29 were with high risk lesions. Radiologic, clinical and pathological results were analyzed statistically and upgrade rates were calculated.\nRESULTS: Of the 82 lesions, 64 (78.0%) were surgically excised. After surgical excision, two were upgraded to DCIS and two were upgraded to lesions with high risk lesions. The rate of radial scar with high risk lesions was significantly higher in the surgical excision group (11.1% vs. 42.2%, p\u2009=\u20090.015), which also demonstrated larger lesion size (10.7\u2009\u00b1\u20096.5 vs. 7.1\u2009\u00b1\u20092.6\u00a0mm, p\u2009=\u20090.001). The diagnoses with high risk lesions on final pathological results showed older age (52.9\u2009\u00b1\u20096.0\u00a0years vs. 48.4\u2009\u00b1\u20096.7\u00a0years, p\u2009=\u20090.018).\nCONCLUSIONS: Radial scars with and without high risk lesions showed no statistically significant differences in imaging, and gave relatively low cancer upgrade rates.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12880-018-0279-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024948", 
        "issn": [
          "1471-2342"
        ], 
        "name": "BMC Medical Imaging", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "18"
      }
    ], 
    "name": "Radial scars/complex sclerosing lesions of the breast: radiologic and clinicopathologic correlation", 
    "pagination": "39", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e02803d0cfe9b5452efa4632ea1514da328ff2f76966166ba33b23df01675730"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30390667"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100968553"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12880-018-0279-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1108019487"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12880-018-0279-z", 
      "https://app.dimensions.ai/details/publication/pub.1108019487"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:32", 
    "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/v90/0000000346_0000000346/records_99806_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12880-018-0279-z"
  }
]
 

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.10.1186/s12880-018-0279-z'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12880-018-0279-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12880-018-0279-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12880-018-0279-z'


 

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

235 TRIPLES      21 PREDICATES      69 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12880-018-0279-z schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author N954aca7f987744feb2e0be7b0188e9b0
4 schema:citation sg:pub.10.1007/s00330-006-0196-3
5 sg:pub.10.1007/s10549-008-0119-x
6 sg:pub.10.1007/s10549-014-2958-y
7 sg:pub.10.1007/s12282-015-0598-7
8 sg:pub.10.1245/s10434-007-9454-0
9 sg:pub.10.1245/s10434-012-2575-0
10 https://app.dimensions.ai/details/publication/pub.1075271929
11 https://app.dimensions.ai/details/publication/pub.1077291205
12 https://app.dimensions.ai/details/publication/pub.1077978640
13 https://app.dimensions.ai/details/publication/pub.1078167901
14 https://doi.org/10.1002/nbm.1503
15 https://doi.org/10.1016/j.acra.2009.10.014
16 https://doi.org/10.1016/j.anndiagpath.2014.12.003
17 https://doi.org/10.1016/j.anndiagpath.2015.11.004
18 https://doi.org/10.1016/j.breast.2011.09.005
19 https://doi.org/10.1016/j.breast.2016.06.007
20 https://doi.org/10.1016/j.ejso.2005.04.004
21 https://doi.org/10.1016/j.rcl.2004.04.002
22 https://doi.org/10.1016/j.ultrasmedbio.2016.06.004
23 https://doi.org/10.1053/j.semdp.2003.10.004
24 https://doi.org/10.1053/j.semdp.2009.12.008
25 https://doi.org/10.1054/brst.1999.0081
26 https://doi.org/10.1097/01.pas.0000152566.78066.d1
27 https://doi.org/10.1097/coc.0b013e3182354a3f
28 https://doi.org/10.1097/pas.0000000000000393
29 https://doi.org/10.1111/j.1075-122x.2005.21530.x
30 https://doi.org/10.1111/j.1365-2559.1993.tb01194.x
31 https://doi.org/10.1111/j.1754-9485.2010.02194.x
32 https://doi.org/10.1308/003588411x12851639107953
33 https://doi.org/10.2214/ajr.08.1342
34 https://doi.org/10.2214/ajr.09.2326
35 https://doi.org/10.2214/ajr.11.7040
36 https://doi.org/10.2214/ajr.11.7717
37 https://doi.org/10.2214/ajr.11.7799
38 https://doi.org/10.2214/ajr.167.1.8659367
39 https://doi.org/10.2214/ajr.17.18156
40 https://doi.org/10.2214/ajr.174.4.1741075
41 https://doi.org/10.2214/ajr.179.5.1791179
42 https://doi.org/10.3348/kjr.2016.17.4.558
43 https://doi.org/10.5858/arpa.2014-0550-oa
44 schema:datePublished 2018-12
45 schema:datePublishedReg 2018-12-01
46 schema:description BACKGROUND: We investigated the radiologic and clinical findings of radial scar and complex sclerosing lesions, and evaluated the rate of pathologic upgrade and predicting factors. METHODS: From review of our institution's database from January 2006 to December 2012, we enrolled 82 radial scars/complex sclerosing lesions in 80 women; 51 by ultrasound guided core needle biopsy, 1 by mammography-guided stereotactic biopsy, and 38 by surgical excision. The initial biopsy pathology revealed that 53 lesions were without high risk lesions and 29 were with high risk lesions. Radiologic, clinical and pathological results were analyzed statistically and upgrade rates were calculated. RESULTS: Of the 82 lesions, 64 (78.0%) were surgically excised. After surgical excision, two were upgraded to DCIS and two were upgraded to lesions with high risk lesions. The rate of radial scar with high risk lesions was significantly higher in the surgical excision group (11.1% vs. 42.2%, p = 0.015), which also demonstrated larger lesion size (10.7 ± 6.5 vs. 7.1 ± 2.6 mm, p = 0.001). The diagnoses with high risk lesions on final pathological results showed older age (52.9 ± 6.0 years vs. 48.4 ± 6.7 years, p = 0.018). CONCLUSIONS: Radial scars with and without high risk lesions showed no statistically significant differences in imaging, and gave relatively low cancer upgrade rates.
47 schema:genre research_article
48 schema:inLanguage en
49 schema:isAccessibleForFree true
50 schema:isPartOf N00e47fb2decb4c9880ce4c0bac2114dd
51 N9ee78fe47c174c8a8fc0f044a0337fd6
52 sg:journal.1024948
53 schema:name Radial scars/complex sclerosing lesions of the breast: radiologic and clinicopathologic correlation
54 schema:pagination 39
55 schema:productId N20558b69584c47ca8730580001393d12
56 N584d79e15f5f421595dc1c562cf9234c
57 N64822bb712e748b19678e320488a2ba4
58 Nc2baadd42aba47b18e57d6dd34e1c91b
59 Nc5df807f4a0d40658793e8a2e2eb9418
60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1108019487
61 https://doi.org/10.1186/s12880-018-0279-z
62 schema:sdDatePublished 2019-04-11T09:32
63 schema:sdLicense https://scigraph.springernature.com/explorer/license/
64 schema:sdPublisher N2e20010ac24b4c36ab1aaa7e1b9a6db5
65 schema:url https://link.springer.com/10.1186%2Fs12880-018-0279-z
66 sgo:license sg:explorer/license/
67 sgo:sdDataset articles
68 rdf:type schema:ScholarlyArticle
69 N00e47fb2decb4c9880ce4c0bac2114dd schema:volumeNumber 18
70 rdf:type schema:PublicationVolume
71 N0ec157b495c54f13abf5996d0ba3964e rdf:first sg:person.01007476400.88
72 rdf:rest Nea8115e23f01484e81e375b28122703c
73 N20558b69584c47ca8730580001393d12 schema:name dimensions_id
74 schema:value pub.1108019487
75 rdf:type schema:PropertyValue
76 N2e20010ac24b4c36ab1aaa7e1b9a6db5 schema:name Springer Nature - SN SciGraph project
77 rdf:type schema:Organization
78 N3c472dfa9bba4a259474ec74b9272792 rdf:first Nda3d591982354a9c8276c29f64c608bb
79 rdf:rest N9b6706a9af9e4c7e80807dce187f0035
80 N4783e144ae9d407a8a9e3104c190a091 rdf:first sg:person.01011016005.45
81 rdf:rest Nfd8847db59ff44c5b5507ecc86f1ae65
82 N584d79e15f5f421595dc1c562cf9234c schema:name doi
83 schema:value 10.1186/s12880-018-0279-z
84 rdf:type schema:PropertyValue
85 N64822bb712e748b19678e320488a2ba4 schema:name pubmed_id
86 schema:value 30390667
87 rdf:type schema:PropertyValue
88 N8dce910bf39b4e64951961685dfd83e5 schema:affiliation https://www.grid.ac/institutes/grid.412011.7
89 schema:familyName Oh
90 schema:givenName Ha-Yeon
91 rdf:type schema:Person
92 N954aca7f987744feb2e0be7b0188e9b0 rdf:first sg:person.010655024563.10
93 rdf:rest N0ec157b495c54f13abf5996d0ba3964e
94 N9b6706a9af9e4c7e80807dce187f0035 rdf:first N8dce910bf39b4e64951961685dfd83e5
95 rdf:rest rdf:nil
96 N9ee78fe47c174c8a8fc0f044a0337fd6 schema:issueNumber 1
97 rdf:type schema:PublicationIssue
98 Nc2baadd42aba47b18e57d6dd34e1c91b schema:name nlm_unique_id
99 schema:value 100968553
100 rdf:type schema:PropertyValue
101 Nc5df807f4a0d40658793e8a2e2eb9418 schema:name readcube_id
102 schema:value e02803d0cfe9b5452efa4632ea1514da328ff2f76966166ba33b23df01675730
103 rdf:type schema:PropertyValue
104 Nda3d591982354a9c8276c29f64c608bb schema:affiliation https://www.grid.ac/institutes/grid.413967.e
105 schema:familyName Kim
106 schema:givenName Hak Hee
107 rdf:type schema:Person
108 Ne6efdae82d694052b2f7d339c6517f7f schema:name Department of Radiology, Research Institute of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, 84 Heukseok-Ro, Dongjak-Gu, 06973, Seoul, Republic of Korea
109 rdf:type schema:Organization
110 Nea8115e23f01484e81e375b28122703c rdf:first sg:person.01055611600.65
111 rdf:rest N4783e144ae9d407a8a9e3104c190a091
112 Nfd8847db59ff44c5b5507ecc86f1ae65 rdf:first sg:person.0673250000.26
113 rdf:rest N3c472dfa9bba4a259474ec74b9272792
114 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
115 schema:name Medical and Health Sciences
116 rdf:type schema:DefinedTerm
117 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
118 schema:name Clinical Sciences
119 rdf:type schema:DefinedTerm
120 sg:journal.1024948 schema:issn 1471-2342
121 schema:name BMC Medical Imaging
122 rdf:type schema:Periodical
123 sg:person.01007476400.88 schema:affiliation https://www.grid.ac/institutes/grid.413967.e
124 schema:familyName Cha
125 schema:givenName Joo Hee
126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01007476400.88
127 rdf:type schema:Person
128 sg:person.01011016005.45 schema:affiliation https://www.grid.ac/institutes/grid.413967.e
129 schema:familyName Chae
130 schema:givenName Eun Young
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01011016005.45
132 rdf:type schema:Person
133 sg:person.01055611600.65 schema:affiliation https://www.grid.ac/institutes/grid.413967.e
134 schema:familyName Shin
135 schema:givenName Hee Jung
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055611600.65
137 rdf:type schema:Person
138 sg:person.010655024563.10 schema:affiliation Ne6efdae82d694052b2f7d339c6517f7f
139 schema:familyName Ha
140 schema:givenName Su Min
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010655024563.10
142 rdf:type schema:Person
143 sg:person.0673250000.26 schema:affiliation https://www.grid.ac/institutes/grid.413967.e
144 schema:familyName Choi
145 schema:givenName Woo Jung
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673250000.26
147 rdf:type schema:Person
148 sg:pub.10.1007/s00330-006-0196-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014150518
149 https://doi.org/10.1007/s00330-006-0196-3
150 rdf:type schema:CreativeWork
151 sg:pub.10.1007/s10549-008-0119-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032201786
152 https://doi.org/10.1007/s10549-008-0119-x
153 rdf:type schema:CreativeWork
154 sg:pub.10.1007/s10549-014-2958-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1033562856
155 https://doi.org/10.1007/s10549-014-2958-y
156 rdf:type schema:CreativeWork
157 sg:pub.10.1007/s12282-015-0598-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034185124
158 https://doi.org/10.1007/s12282-015-0598-7
159 rdf:type schema:CreativeWork
160 sg:pub.10.1245/s10434-007-9454-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052005730
161 https://doi.org/10.1245/s10434-007-9454-0
162 rdf:type schema:CreativeWork
163 sg:pub.10.1245/s10434-012-2575-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034646087
164 https://doi.org/10.1245/s10434-012-2575-0
165 rdf:type schema:CreativeWork
166 https://app.dimensions.ai/details/publication/pub.1075271929 schema:CreativeWork
167 https://app.dimensions.ai/details/publication/pub.1077291205 schema:CreativeWork
168 https://app.dimensions.ai/details/publication/pub.1077978640 schema:CreativeWork
169 https://app.dimensions.ai/details/publication/pub.1078167901 schema:CreativeWork
170 https://doi.org/10.1002/nbm.1503 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006597638
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.acra.2009.10.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012176814
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.anndiagpath.2014.12.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002213375
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.anndiagpath.2015.11.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004347630
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.breast.2011.09.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030343743
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/j.breast.2016.06.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026328395
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.ejso.2005.04.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003753260
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.rcl.2004.04.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018605649
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.ultrasmedbio.2016.06.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017173049
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1053/j.semdp.2003.10.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022975148
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1053/j.semdp.2009.12.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020580452
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1054/brst.1999.0081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021365048
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1097/01.pas.0000152566.78066.d1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011575458
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1097/coc.0b013e3182354a3f schema:sameAs https://app.dimensions.ai/details/publication/pub.1038797028
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1097/pas.0000000000000393 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028514206
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1111/j.1075-122x.2005.21530.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1046795019
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1111/j.1365-2559.1993.tb01194.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1049623074
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1111/j.1754-9485.2010.02194.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1046246737
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1308/003588411x12851639107953 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037665242
207 rdf:type schema:CreativeWork
208 https://doi.org/10.2214/ajr.08.1342 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069299649
209 rdf:type schema:CreativeWork
210 https://doi.org/10.2214/ajr.09.2326 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069300050
211 rdf:type schema:CreativeWork
212 https://doi.org/10.2214/ajr.11.7040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069301856
213 rdf:type schema:CreativeWork
214 https://doi.org/10.2214/ajr.11.7717 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069302092
215 rdf:type schema:CreativeWork
216 https://doi.org/10.2214/ajr.11.7799 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069302121
217 rdf:type schema:CreativeWork
218 https://doi.org/10.2214/ajr.167.1.8659367 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069320189
219 rdf:type schema:CreativeWork
220 https://doi.org/10.2214/ajr.17.18156 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091247097
221 rdf:type schema:CreativeWork
222 https://doi.org/10.2214/ajr.174.4.1741075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069323119
223 rdf:type schema:CreativeWork
224 https://doi.org/10.2214/ajr.179.5.1791179 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069325050
225 rdf:type schema:CreativeWork
226 https://doi.org/10.3348/kjr.2016.17.4.558 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006448929
227 rdf:type schema:CreativeWork
228 https://doi.org/10.5858/arpa.2014-0550-oa schema:sameAs https://app.dimensions.ai/details/publication/pub.1000093424
229 rdf:type schema:CreativeWork
230 https://www.grid.ac/institutes/grid.412011.7 schema:alternateName Kangwon National University Hospital
231 schema:name Department of Radiology, Kangwon National University Hospital, 200-722 Baengnyeong-Ro 156, Chuncheon-Si, Republic of Korea
232 rdf:type schema:Organization
233 https://www.grid.ac/institutes/grid.413967.e schema:alternateName Asan Medical Center
234 schema:name Department of Radiology, Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43 Gil, Songpa-Gu, 05505, Seoul, Republic of Korea
235 rdf:type schema:Organization
 




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


...