Incidental Findings with Dual-Energy X-Ray Absorptiometry: Spectrum of Possible Diagnoses View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-05-24

AUTHORS

Alberto Bazzocchi, Fabio Ferrari, Danila Diano, Ugo Albisinni, Giuseppe Battista, Cristina Rossi, Giuseppe Guglielmi

ABSTRACT

New dual-energy X-ray absorptiometry (DXA) technologies provide improved spatial resolution and high image quality. Our purpose was to review DXA examinations to detect collateral findings and to understand their potential impact on patient healthcare. We retrospectively and randomly reviewed 739 DXA examinations (191 of 739, 25.8 %, whole body; 96 of 739, 13.0 %, vertebral fracture assessment; 231 of 739, 31.3 %, lumbar spine; 221 of 739, 29.9 %, femur) that were performed in our institution with a new DXA equipment. Whenever an extra finding was discovered, the physician’s report was read and the clinical history of the patient was investigated to understand whether that finding was already known, as well as to check the diagnosis. The population included 208 male and 531 female subjects (58 ± 14 years old). Incidental findings were detected in 117 (15.8 %) of 739 DXA examinations (17 of 117, 14.5 %, whole body; 41 of 117, 35.0 %, vertebral fracture assessment; 32 of 117, 27.4 %, lumbar spine; 27 of 117, 23.1 %, femur): biliary and urinary stones (4.8 %), vascular calcifications (33.7 %), other soft tissue calcifications (25.3 %—e.g., tendons, lymph nodes, intraparenchymatous calcifications), vertebral abnormalities (14.5 %), other bone abnormalities (12.1 %), and morphovolumetric alterations or abnormal anatomical structures (9.6 %). Among all these findings, 50 (42.7 %) of 117 could be verified by other imaging modalities. Forty-nine (98.0 %) of 50 incidental findings were identified as true findings, and DXA was able to orient the diagnosis (exact diagnosis in 37 of 50, 74.0 %); however, none of them was mentioned on available DXA reports. An interpreting physician should treat the DXA image with the same attention given to any other X-ray image. Sometimes DXA may allow a qualitative diagnosis of collateral findings. However, potential negative effects on healthcare economy should be considered for false-positive or insignificant findings. More... »

PAGES

149-156

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00223-012-9609-2

DOI

http://dx.doi.org/10.1007/s00223-012-9609-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1020315145

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22623178


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/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Absorptiometry, Photon", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bone Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Foreign Bodies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gastrointestinal Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Incidence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Incidental Findings", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Vascular Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Diagnostic and Interventional Radiology, \u201cRizzoli\u201d Orthopaedic Institute, Via G. C. Pupilli 1, 40136, Bologna, BO, Italy", 
          "id": "http://www.grid.ac/institutes/grid.419038.7", 
          "name": [
            "Imaging Division, Clinical Department of Radiological and Histocytopathological Sciences, Malpighi Hospital, University of Bologna, Sant\u2019Orsola, Via G. Massarenti 9, 40138, Bologna, BO, Italy", 
            "Diagnostic and Interventional Radiology, \u201cRizzoli\u201d Orthopaedic Institute, Via G. C. Pupilli 1, 40136, Bologna, BO, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bazzocchi", 
        "givenName": "Alberto", 
        "id": "sg:person.01236303515.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01236303515.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imaging Division, Clinical Department of Radiological and Histocytopathological Sciences, Malpighi Hospital, University of Bologna, Sant\u2019Orsola, Via G. Massarenti 9, 40138, Bologna, BO, Italy", 
          "id": "http://www.grid.ac/institutes/grid.6292.f", 
          "name": [
            "Imaging Division, Clinical Department of Radiological and Histocytopathological Sciences, Malpighi Hospital, University of Bologna, Sant\u2019Orsola, Via G. Massarenti 9, 40138, Bologna, BO, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ferrari", 
        "givenName": "Fabio", 
        "id": "sg:person.0771071251.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771071251.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imaging Division, Clinical Department of Radiological and Histocytopathological Sciences, Malpighi Hospital, University of Bologna, Sant\u2019Orsola, Via G. Massarenti 9, 40138, Bologna, BO, Italy", 
          "id": "http://www.grid.ac/institutes/grid.6292.f", 
          "name": [
            "Imaging Division, Clinical Department of Radiological and Histocytopathological Sciences, Malpighi Hospital, University of Bologna, Sant\u2019Orsola, Via G. Massarenti 9, 40138, Bologna, BO, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Diano", 
        "givenName": "Danila", 
        "id": "sg:person.01017401253.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01017401253.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Diagnostic and Interventional Radiology, \u201cRizzoli\u201d Orthopaedic Institute, Via G. C. Pupilli 1, 40136, Bologna, BO, Italy", 
          "id": "http://www.grid.ac/institutes/grid.419038.7", 
          "name": [
            "Diagnostic and Interventional Radiology, \u201cRizzoli\u201d Orthopaedic Institute, Via G. C. Pupilli 1, 40136, Bologna, BO, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Albisinni", 
        "givenName": "Ugo", 
        "id": "sg:person.0627126015.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627126015.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imaging Division, Clinical Department of Radiological and Histocytopathological Sciences, Malpighi Hospital, University of Bologna, Sant\u2019Orsola, Via G. Massarenti 9, 40138, Bologna, BO, Italy", 
          "id": "http://www.grid.ac/institutes/grid.6292.f", 
          "name": [
            "Imaging Division, Clinical Department of Radiological and Histocytopathological Sciences, Malpighi Hospital, University of Bologna, Sant\u2019Orsola, Via G. Massarenti 9, 40138, Bologna, BO, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Battista", 
        "givenName": "Giuseppe", 
        "id": "sg:person.016361224513.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016361224513.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Section of Radiological Sciences, Department of Clinic Sciences, University of Parma, Via Gramsci 14, 43100, Parma, PR, Italy", 
          "id": "http://www.grid.ac/institutes/grid.10383.39", 
          "name": [
            "Section of Radiological Sciences, Department of Clinic Sciences, University of Parma, Via Gramsci 14, 43100, Parma, PR, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rossi", 
        "givenName": "Cristina", 
        "id": "sg:person.011101734712.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011101734712.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Scientific Institute \u201cCasa Sollievo della Sofferenza\u201d Hospital, Viale Cappuccini 1, 71013, San Giovanni Rotondo, FG, Italy", 
          "id": "http://www.grid.ac/institutes/grid.413503.0", 
          "name": [
            "Department of Radiology, University of Foggia, Viale Luigi Pinto 1, 71100, Foggia, FG, Italy", 
            "Department of Radiology, Scientific Institute \u201cCasa Sollievo della Sofferenza\u201d Hospital, Viale Cappuccini 1, 71013, San Giovanni Rotondo, FG, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guglielmi", 
        "givenName": "Giuseppe", 
        "id": "sg:person.01101554723.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01101554723.35"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2012-05-24", 
    "datePublishedReg": "2012-05-24", 
    "description": "New dual-energy X-ray absorptiometry (DXA) technologies provide improved spatial resolution and high image quality. Our purpose was to review DXA examinations to detect collateral findings and to understand their potential impact on patient healthcare. We retrospectively and randomly reviewed 739 DXA examinations (191 of 739, 25.8\u00a0%, whole body; 96 of 739, 13.0\u00a0%, vertebral fracture assessment; 231 of 739, 31.3\u00a0%, lumbar spine; 221 of 739, 29.9\u00a0%, femur) that were performed in our institution with a new DXA equipment. Whenever an extra finding was discovered, the physician\u2019s report was read and the clinical history of the patient was investigated to understand whether that finding was already known, as well as to check the diagnosis. The population included 208 male and 531 female subjects (58\u00a0\u00b1\u00a014\u00a0years old). Incidental findings were detected in 117 (15.8\u00a0%) of 739 DXA examinations (17 of 117, 14.5\u00a0%, whole body; 41 of 117, 35.0\u00a0%, vertebral fracture assessment; 32 of 117, 27.4\u00a0%, lumbar spine; 27 of 117, 23.1\u00a0%, femur): biliary and urinary stones (4.8\u00a0%), vascular calcifications (33.7\u00a0%), other soft tissue calcifications (25.3\u00a0%\u2014e.g., tendons, lymph nodes, intraparenchymatous calcifications), vertebral abnormalities (14.5\u00a0%), other bone abnormalities (12.1\u00a0%), and morphovolumetric alterations or abnormal anatomical structures (9.6\u00a0%). Among all these findings, 50 (42.7\u00a0%) of 117 could be verified by other imaging modalities. Forty-nine (98.0\u00a0%) of 50 incidental findings were identified as true findings, and DXA was able to orient the diagnosis (exact diagnosis in 37 of 50, 74.0\u00a0%); however, none of them was mentioned on available DXA reports. An interpreting physician should treat the DXA image with the same attention given to any other X-ray image. Sometimes DXA may allow a qualitative diagnosis of collateral findings. However, potential negative effects on healthcare economy should be considered for false-positive or insignificant findings.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00223-012-9609-2", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1089641", 
        "issn": [
          "0171-967X", 
          "1432-0827"
        ], 
        "name": "Calcified Tissue International", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "91"
      }
    ], 
    "keywords": [
      "incidental finding", 
      "DXA examination", 
      "collateral findings", 
      "soft tissue calcification", 
      "Dual-Energy X", 
      "ray absorptiometry technology", 
      "vascular calcification", 
      "clinical history", 
      "abnormal anatomical structures", 
      "physician reports", 
      "ray absorptiometry", 
      "bone abnormalities", 
      "possible diagnosis", 
      "tissue calcification", 
      "insignificant findings", 
      "female subjects", 
      "DXA reports", 
      "vertebral abnormalities", 
      "diagnosis", 
      "urinary stones", 
      "qualitative diagnosis", 
      "imaging modalities", 
      "healthcare economy", 
      "DXA images", 
      "patient healthcare", 
      "abnormalities", 
      "DXA", 
      "calcification", 
      "examination", 
      "report", 
      "DXA equipment", 
      "findings", 
      "anatomical structures", 
      "true findings", 
      "potential negative effects", 
      "patients", 
      "absorptiometry", 
      "physicians", 
      "modalities", 
      "males", 
      "subjects", 
      "alterations", 
      "potential impact", 
      "healthcare", 
      "population", 
      "stones", 
      "image quality", 
      "negative effects", 
      "history", 
      "extra finding", 
      "effect", 
      "same attention", 
      "high image quality", 
      "purpose", 
      "institutions", 
      "quality", 
      "impact", 
      "ray images", 
      "images", 
      "attention", 
      "resolution", 
      "equipment", 
      "spatial resolution", 
      "spectra", 
      "technology", 
      "structure", 
      "economy", 
      "absorptiometry (DXA) technologies", 
      "new DXA equipment", 
      "morphovolumetric alterations", 
      "available DXA reports"
    ], 
    "name": "Incidental Findings with Dual-Energy X-Ray Absorptiometry: Spectrum of Possible Diagnoses", 
    "pagination": "149-156", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1020315145"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00223-012-9609-2"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22623178"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00223-012-9609-2", 
      "https://app.dimensions.ai/details/publication/pub.1020315145"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:27", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_564.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00223-012-9609-2"
  }
]
 

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/s00223-012-9609-2'

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/s00223-012-9609-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00223-012-9609-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00223-012-9609-2'


 

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

250 TRIPLES      21 PREDICATES      113 URIs      105 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00223-012-9609-2 schema:about N0b93211eec0e4b5b821788994da15921
2 N0d47cc247baf46b6a45b93195fd4e6bb
3 N1144d3250749428e9199443ef8485753
4 N340d42f9055c47dcad17d43f5ca65667
5 N5a21581da64c4fa885938b4b251fa270
6 N69603f5d93234aa08b245da45d23615e
7 N6a0e1f7054a0459289caceb90e2b46ff
8 N6df3307bc36a44e19965e26786c34edd
9 N78760da57a4b4694bdbb31980999e167
10 N8fae3fdefc244b99aaf5b458c0f5e188
11 N9d8b0877d1564b2c8bee5b4440310c11
12 Nbd1700740062492a906a4b09cb066969
13 Nc81075ef1b9345b187240611d02e6c18
14 Ne9c0053f533e42be9d7730fbbd06915f
15 Nef55393fcf5044048e7c9b0828f064b2
16 Nfa59ece4b2d14dd4ad94eea112c810ba
17 anzsrc-for:11
18 anzsrc-for:1103
19 schema:author N7e7ff5b805c74c22b779743a221dc583
20 schema:datePublished 2012-05-24
21 schema:datePublishedReg 2012-05-24
22 schema:description New dual-energy X-ray absorptiometry (DXA) technologies provide improved spatial resolution and high image quality. Our purpose was to review DXA examinations to detect collateral findings and to understand their potential impact on patient healthcare. We retrospectively and randomly reviewed 739 DXA examinations (191 of 739, 25.8 %, whole body; 96 of 739, 13.0 %, vertebral fracture assessment; 231 of 739, 31.3 %, lumbar spine; 221 of 739, 29.9 %, femur) that were performed in our institution with a new DXA equipment. Whenever an extra finding was discovered, the physician’s report was read and the clinical history of the patient was investigated to understand whether that finding was already known, as well as to check the diagnosis. The population included 208 male and 531 female subjects (58 ± 14 years old). Incidental findings were detected in 117 (15.8 %) of 739 DXA examinations (17 of 117, 14.5 %, whole body; 41 of 117, 35.0 %, vertebral fracture assessment; 32 of 117, 27.4 %, lumbar spine; 27 of 117, 23.1 %, femur): biliary and urinary stones (4.8 %), vascular calcifications (33.7 %), other soft tissue calcifications (25.3 %—e.g., tendons, lymph nodes, intraparenchymatous calcifications), vertebral abnormalities (14.5 %), other bone abnormalities (12.1 %), and morphovolumetric alterations or abnormal anatomical structures (9.6 %). Among all these findings, 50 (42.7 %) of 117 could be verified by other imaging modalities. Forty-nine (98.0 %) of 50 incidental findings were identified as true findings, and DXA was able to orient the diagnosis (exact diagnosis in 37 of 50, 74.0 %); however, none of them was mentioned on available DXA reports. An interpreting physician should treat the DXA image with the same attention given to any other X-ray image. Sometimes DXA may allow a qualitative diagnosis of collateral findings. However, potential negative effects on healthcare economy should be considered for false-positive or insignificant findings.
23 schema:genre article
24 schema:inLanguage en
25 schema:isAccessibleForFree false
26 schema:isPartOf Nf2ed5403fffe4c0c8b74d005821c5fe8
27 Nf858345391d2473ca1912a6b14fe713e
28 sg:journal.1089641
29 schema:keywords DXA
30 DXA equipment
31 DXA examination
32 DXA images
33 DXA reports
34 Dual-Energy X
35 abnormal anatomical structures
36 abnormalities
37 absorptiometry
38 absorptiometry (DXA) technologies
39 alterations
40 anatomical structures
41 attention
42 available DXA reports
43 bone abnormalities
44 calcification
45 clinical history
46 collateral findings
47 diagnosis
48 economy
49 effect
50 equipment
51 examination
52 extra finding
53 female subjects
54 findings
55 healthcare
56 healthcare economy
57 high image quality
58 history
59 image quality
60 images
61 imaging modalities
62 impact
63 incidental finding
64 insignificant findings
65 institutions
66 males
67 modalities
68 morphovolumetric alterations
69 negative effects
70 new DXA equipment
71 patient healthcare
72 patients
73 physician reports
74 physicians
75 population
76 possible diagnosis
77 potential impact
78 potential negative effects
79 purpose
80 qualitative diagnosis
81 quality
82 ray absorptiometry
83 ray absorptiometry technology
84 ray images
85 report
86 resolution
87 same attention
88 soft tissue calcification
89 spatial resolution
90 spectra
91 stones
92 structure
93 subjects
94 technology
95 tissue calcification
96 true findings
97 urinary stones
98 vascular calcification
99 vertebral abnormalities
100 schema:name Incidental Findings with Dual-Energy X-Ray Absorptiometry: Spectrum of Possible Diagnoses
101 schema:pagination 149-156
102 schema:productId N18175c953efb445baa3095769e2c6a86
103 N3f56dc47c63c470db50719a92ba3609f
104 Nc4f32d533bb549b09e08cecd3ddcd6a9
105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020315145
106 https://doi.org/10.1007/s00223-012-9609-2
107 schema:sdDatePublished 2022-01-01T18:27
108 schema:sdLicense https://scigraph.springernature.com/explorer/license/
109 schema:sdPublisher N20756faaeacf42008857fb9ac337085d
110 schema:url https://doi.org/10.1007/s00223-012-9609-2
111 sgo:license sg:explorer/license/
112 sgo:sdDataset articles
113 rdf:type schema:ScholarlyArticle
114 N098df0799e7a44a8b80a28b9000a0fd7 rdf:first sg:person.0627126015.13
115 rdf:rest N118f049e792842c2846f685f4f42f4cf
116 N0b93211eec0e4b5b821788994da15921 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Humans
118 rdf:type schema:DefinedTerm
119 N0d47cc247baf46b6a45b93195fd4e6bb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Male
121 rdf:type schema:DefinedTerm
122 N1144d3250749428e9199443ef8485753 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Retrospective Studies
124 rdf:type schema:DefinedTerm
125 N118f049e792842c2846f685f4f42f4cf rdf:first sg:person.016361224513.79
126 rdf:rest Nedc864fbad934501b8a74ced04ed97af
127 N18175c953efb445baa3095769e2c6a86 schema:name pubmed_id
128 schema:value 22623178
129 rdf:type schema:PropertyValue
130 N20756faaeacf42008857fb9ac337085d schema:name Springer Nature - SN SciGraph project
131 rdf:type schema:Organization
132 N340d42f9055c47dcad17d43f5ca65667 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Incidence
134 rdf:type schema:DefinedTerm
135 N3f56dc47c63c470db50719a92ba3609f schema:name dimensions_id
136 schema:value pub.1020315145
137 rdf:type schema:PropertyValue
138 N5a21581da64c4fa885938b4b251fa270 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Young Adult
140 rdf:type schema:DefinedTerm
141 N5b05a6a2cc2a40d0869ae326c49092fe rdf:first sg:person.0771071251.24
142 rdf:rest Ndf545d949e884427bde7f125649990db
143 N69603f5d93234aa08b245da45d23615e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Bone Diseases
145 rdf:type schema:DefinedTerm
146 N6a0e1f7054a0459289caceb90e2b46ff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Middle Aged
148 rdf:type schema:DefinedTerm
149 N6df3307bc36a44e19965e26786c34edd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Absorptiometry, Photon
151 rdf:type schema:DefinedTerm
152 N78760da57a4b4694bdbb31980999e167 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Aged, 80 and over
154 rdf:type schema:DefinedTerm
155 N7e7ff5b805c74c22b779743a221dc583 rdf:first sg:person.01236303515.94
156 rdf:rest N5b05a6a2cc2a40d0869ae326c49092fe
157 N8fae3fdefc244b99aaf5b458c0f5e188 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Adult
159 rdf:type schema:DefinedTerm
160 N9d8b0877d1564b2c8bee5b4440310c11 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Female
162 rdf:type schema:DefinedTerm
163 Nbd1700740062492a906a4b09cb066969 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Aged
165 rdf:type schema:DefinedTerm
166 Nc4f32d533bb549b09e08cecd3ddcd6a9 schema:name doi
167 schema:value 10.1007/s00223-012-9609-2
168 rdf:type schema:PropertyValue
169 Nc81075ef1b9345b187240611d02e6c18 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Vascular Diseases
171 rdf:type schema:DefinedTerm
172 Ndf545d949e884427bde7f125649990db rdf:first sg:person.01017401253.25
173 rdf:rest N098df0799e7a44a8b80a28b9000a0fd7
174 Ne7e5ad1ed6514443adf557c48934321c rdf:first sg:person.01101554723.35
175 rdf:rest rdf:nil
176 Ne9c0053f533e42be9d7730fbbd06915f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
177 schema:name Incidental Findings
178 rdf:type schema:DefinedTerm
179 Nedc864fbad934501b8a74ced04ed97af rdf:first sg:person.011101734712.26
180 rdf:rest Ne7e5ad1ed6514443adf557c48934321c
181 Nef55393fcf5044048e7c9b0828f064b2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
182 schema:name Gastrointestinal Diseases
183 rdf:type schema:DefinedTerm
184 Nf2ed5403fffe4c0c8b74d005821c5fe8 schema:issueNumber 2
185 rdf:type schema:PublicationIssue
186 Nf858345391d2473ca1912a6b14fe713e schema:volumeNumber 91
187 rdf:type schema:PublicationVolume
188 Nfa59ece4b2d14dd4ad94eea112c810ba schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
189 schema:name Foreign Bodies
190 rdf:type schema:DefinedTerm
191 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
192 schema:name Medical and Health Sciences
193 rdf:type schema:DefinedTerm
194 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
195 schema:name Clinical Sciences
196 rdf:type schema:DefinedTerm
197 sg:journal.1089641 schema:issn 0171-967X
198 1432-0827
199 schema:name Calcified Tissue International
200 schema:publisher Springer Nature
201 rdf:type schema:Periodical
202 sg:person.01017401253.25 schema:affiliation grid-institutes:grid.6292.f
203 schema:familyName Diano
204 schema:givenName Danila
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01017401253.25
206 rdf:type schema:Person
207 sg:person.01101554723.35 schema:affiliation grid-institutes:grid.413503.0
208 schema:familyName Guglielmi
209 schema:givenName Giuseppe
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01101554723.35
211 rdf:type schema:Person
212 sg:person.011101734712.26 schema:affiliation grid-institutes:grid.10383.39
213 schema:familyName Rossi
214 schema:givenName Cristina
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011101734712.26
216 rdf:type schema:Person
217 sg:person.01236303515.94 schema:affiliation grid-institutes:grid.419038.7
218 schema:familyName Bazzocchi
219 schema:givenName Alberto
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01236303515.94
221 rdf:type schema:Person
222 sg:person.016361224513.79 schema:affiliation grid-institutes:grid.6292.f
223 schema:familyName Battista
224 schema:givenName Giuseppe
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016361224513.79
226 rdf:type schema:Person
227 sg:person.0627126015.13 schema:affiliation grid-institutes:grid.419038.7
228 schema:familyName Albisinni
229 schema:givenName Ugo
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627126015.13
231 rdf:type schema:Person
232 sg:person.0771071251.24 schema:affiliation grid-institutes:grid.6292.f
233 schema:familyName Ferrari
234 schema:givenName Fabio
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771071251.24
236 rdf:type schema:Person
237 grid-institutes:grid.10383.39 schema:alternateName Section of Radiological Sciences, Department of Clinic Sciences, University of Parma, Via Gramsci 14, 43100, Parma, PR, Italy
238 schema:name Section of Radiological Sciences, Department of Clinic Sciences, University of Parma, Via Gramsci 14, 43100, Parma, PR, Italy
239 rdf:type schema:Organization
240 grid-institutes:grid.413503.0 schema:alternateName Department of Radiology, Scientific Institute “Casa Sollievo della Sofferenza” Hospital, Viale Cappuccini 1, 71013, San Giovanni Rotondo, FG, Italy
241 schema:name Department of Radiology, Scientific Institute “Casa Sollievo della Sofferenza” Hospital, Viale Cappuccini 1, 71013, San Giovanni Rotondo, FG, Italy
242 Department of Radiology, University of Foggia, Viale Luigi Pinto 1, 71100, Foggia, FG, Italy
243 rdf:type schema:Organization
244 grid-institutes:grid.419038.7 schema:alternateName Diagnostic and Interventional Radiology, “Rizzoli” Orthopaedic Institute, Via G. C. Pupilli 1, 40136, Bologna, BO, Italy
245 schema:name Diagnostic and Interventional Radiology, “Rizzoli” Orthopaedic Institute, Via G. C. Pupilli 1, 40136, Bologna, BO, Italy
246 Imaging Division, Clinical Department of Radiological and Histocytopathological Sciences, Malpighi Hospital, University of Bologna, Sant’Orsola, Via G. Massarenti 9, 40138, Bologna, BO, Italy
247 rdf:type schema:Organization
248 grid-institutes:grid.6292.f schema:alternateName Imaging Division, Clinical Department of Radiological and Histocytopathological Sciences, Malpighi Hospital, University of Bologna, Sant’Orsola, Via G. Massarenti 9, 40138, Bologna, BO, Italy
249 schema:name Imaging Division, Clinical Department of Radiological and Histocytopathological Sciences, Malpighi Hospital, University of Bologna, Sant’Orsola, Via G. Massarenti 9, 40138, Bologna, BO, Italy
250 rdf:type schema:Organization
 




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


...