Myocardial extracellular volume derived from contrast-enhanced chest computed tomography for longitudinal evaluation of cardiotoxicity in patients with breast cancer treated ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-05-04

AUTHORS

Chunrong Tu, Hesong Shen, Renwei Liu, Xing Wang, Xiaoqin Li, Xiaoqian Yuan, Qiuzhi Chen, Yu Wang, Zijuan Ran, Xiaosong Lan, Xiaoyue Zhang, Meng Lin, Jiuquan Zhang

ABSTRACT

ObjectivesTo assess the value of myocardial extracellular volume (ECV) derived from contrast-enhanced chest computed tomography (CT) for longitudinal evaluation of cardiotoxicity in patients with breast cancer (BC) treated with anthracycline (AC).Materials and methodsA total of 1151 patients with BC treated with anthracyclines, who underwent at least baseline, and first follow-up contrast-enhanced chest CT were evaluated. ECV and left ventricular ejection fraction (LVEF) were measured before (ECV0, LVEF0), during ((ECV1, LVEF1) and (ECV2, LVEF2)), and after (ECV3, LVEF3) AC treatment. ECV values were evaluated at the middle of left ventricular septum on venous phase images. Cancer therapy-related cardiac dysfunction (CTRCD) was recorded.ResultsMean baseline LVEF values were 65.85% ± 2.72% and 102 patients developed CTRCD. The mean ECV0 was 26.76% ± 3.03% (N0 = 1151). ECV1, ECV2, and ECV3 (median interval: 61 (IQR, 46–75), 180 (IQR, 170–190), 350 (IQR, 341–360) days from baseline) were 31.32% ± 3.10%, 29.60% ± 3.24%, and 32.05% ± 3.58% (N1 = 1151, N2 = 841, N3 = 511). ECV1, ECV2, and ECV3 were significantly higher than ECV0 (p < 0.001). ECV0 and ECV1 showed no difference between CTRCD (+) and CTRCD (−) group (p1 = 0.150; p2 = 0.216). However, ECV2 and ECV3 showed significant differences between the two groups (p3 < 0.001; p4 < 0.001).ConclusionCT-derived ECV is a potential biomarker for dynamic monitoring AC cardiotoxicity in patients with BC. More... »

PAGES

85

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13244-022-01224-5

DOI

http://dx.doi.org/10.1186/s13244-022-01224-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1147579344

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/35507098


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/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China", 
          "id": "http://www.grid.ac/institutes/grid.190737.b", 
          "name": [
            "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tu", 
        "givenName": "Chunrong", 
        "id": "sg:person.011672204631.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011672204631.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China", 
          "id": "http://www.grid.ac/institutes/grid.190737.b", 
          "name": [
            "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shen", 
        "givenName": "Hesong", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China", 
          "id": "http://www.grid.ac/institutes/grid.190737.b", 
          "name": [
            "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Renwei", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China", 
          "id": "http://www.grid.ac/institutes/grid.190737.b", 
          "name": [
            "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Xing", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China", 
          "id": "http://www.grid.ac/institutes/grid.190737.b", 
          "name": [
            "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Xiaoqin", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China", 
          "id": "http://www.grid.ac/institutes/grid.190737.b", 
          "name": [
            "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yuan", 
        "givenName": "Xiaoqian", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China", 
          "id": "http://www.grid.ac/institutes/grid.190737.b", 
          "name": [
            "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Qiuzhi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China", 
          "id": "http://www.grid.ac/institutes/grid.190737.b", 
          "name": [
            "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Yu", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China", 
          "id": "http://www.grid.ac/institutes/grid.190737.b", 
          "name": [
            "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ran", 
        "givenName": "Zijuan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China", 
          "id": "http://www.grid.ac/institutes/grid.190737.b", 
          "name": [
            "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lan", 
        "givenName": "Xiaosong", 
        "id": "sg:person.015771534755.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015771534755.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Siemens Healthineers, Xi\u2019an, China", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Siemens Healthineers, Xi\u2019an, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Xiaoyue", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China", 
          "id": "http://www.grid.ac/institutes/grid.190737.b", 
          "name": [
            "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lin", 
        "givenName": "Meng", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China", 
          "id": "http://www.grid.ac/institutes/grid.190737.b", 
          "name": [
            "Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Jiuquan", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s11886-018-0961-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101360849", 
          "https://doi.org/10.1007/s11886-018-0961-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12968-016-0308-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017591814", 
          "https://doi.org/10.1186/s12968-016-0308-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00431-003-1275-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043114406", 
          "https://doi.org/10.1007/s00431-003-1275-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13244-020-00922-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1132846697", 
          "https://doi.org/10.1186/s13244-020-00922-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41598-017-02627-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085640590", 
          "https://doi.org/10.1038/s41598-017-02627-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1532-429x-15-48", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023667471", 
          "https://doi.org/10.1186/1532-429x-15-48"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2022-05-04", 
    "datePublishedReg": "2022-05-04", 
    "description": "ObjectivesTo assess the value of myocardial extracellular volume (ECV) derived from contrast-enhanced chest computed tomography (CT) for longitudinal evaluation of cardiotoxicity in patients with breast cancer (BC) treated with anthracycline (AC).Materials and methodsA total of 1151 patients with BC treated with anthracyclines, who underwent at least baseline, and first follow-up contrast-enhanced chest CT were evaluated. ECV and left ventricular ejection fraction (LVEF) were measured before (ECV0, LVEF0), during ((ECV1, LVEF1) and (ECV2, LVEF2)), and after (ECV3, LVEF3) AC treatment. ECV values were evaluated at the middle of left ventricular septum on venous phase images. Cancer therapy-related cardiac dysfunction (CTRCD) was recorded.ResultsMean baseline LVEF values were 65.85%\u2009\u00b1\u20092.72% and 102 patients developed CTRCD. The mean ECV0 was 26.76%\u2009\u00b1\u20093.03% (N0\u2009=\u20091151). ECV1, ECV2, and ECV3 (median interval: 61 (IQR, 46\u201375), 180 (IQR, 170\u2013190), 350 (IQR, 341\u2013360) days from baseline) were 31.32%\u2009\u00b1\u20093.10%, 29.60%\u2009\u00b1\u20093.24%, and 32.05%\u2009\u00b1\u20093.58% (N1\u2009=\u20091151, N2\u2009=\u2009841, N3\u2009=\u2009511). ECV1, ECV2, and ECV3 were significantly higher than ECV0 (p\u2009<\u20090.001). ECV0 and ECV1 showed no difference between CTRCD (+) and CTRCD (\u2212) group (p1\u2009=\u20090.150; p2\u2009=\u20090.216). However, ECV2 and ECV3 showed significant differences between the two groups (p3\u2009<\u20090.001; p4\u2009<\u20090.001).ConclusionCT-derived ECV is a potential biomarker for dynamic monitoring AC cardiotoxicity in patients with BC.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s13244-022-01224-5", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1043606", 
        "issn": [
          "1869-4101"
        ], 
        "name": "Insights into Imaging", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "13"
      }
    ], 
    "keywords": [
      "cancer therapy-related cardiac dysfunction", 
      "contrast-enhanced chest", 
      "breast cancer", 
      "myocardial extracellular volume", 
      "extracellular volume", 
      "longitudinal evaluation", 
      "contrast-enhanced chest CT", 
      "baseline LVEF value", 
      "ventricular ejection fraction", 
      "left ventricular septum", 
      "venous phase images", 
      "CTRCD group", 
      "ejection fraction", 
      "cardiac dysfunction", 
      "ventricular septum", 
      "chest CT", 
      "methodsA total", 
      "LVEF values", 
      "patients", 
      "least baseline", 
      "potential biomarkers", 
      "anthracyclines", 
      "cardiotoxicity", 
      "ECV values", 
      "significant differences", 
      "chest", 
      "cancer", 
      "AC treatment", 
      "tomography", 
      "ConclusionCT", 
      "group", 
      "dysfunction", 
      "ObjectivesTo", 
      "baseline", 
      "biomarkers", 
      "CT", 
      "septum", 
      "treatment", 
      "total", 
      "differences", 
      "evaluation", 
      "volume", 
      "phase images", 
      "values", 
      "fraction", 
      "middle", 
      "materials", 
      "images"
    ], 
    "name": "Myocardial extracellular volume derived from contrast-enhanced chest computed tomography for longitudinal evaluation of cardiotoxicity in patients with breast cancer treated with anthracyclines", 
    "pagination": "85", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1147579344"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13244-022-01224-5"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "35507098"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13244-022-01224-5", 
      "https://app.dimensions.ai/details/publication/pub.1147579344"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-06-01T22:23", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/article/article_931.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s13244-022-01224-5"
  }
]
 

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/s13244-022-01224-5'

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/s13244-022-01224-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13244-022-01224-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13244-022-01224-5'


 

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

209 TRIPLES      22 PREDICATES      80 URIs      66 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13244-022-01224-5 schema:about anzsrc-for:11
2 anzsrc-for:1112
3 schema:author Nc4845b803a2f44bab2fc1b8357a9b73e
4 schema:citation sg:pub.10.1007/s00431-003-1275-y
5 sg:pub.10.1007/s11886-018-0961-3
6 sg:pub.10.1038/s41598-017-02627-x
7 sg:pub.10.1186/1532-429x-15-48
8 sg:pub.10.1186/s12968-016-0308-4
9 sg:pub.10.1186/s13244-020-00922-2
10 schema:datePublished 2022-05-04
11 schema:datePublishedReg 2022-05-04
12 schema:description ObjectivesTo assess the value of myocardial extracellular volume (ECV) derived from contrast-enhanced chest computed tomography (CT) for longitudinal evaluation of cardiotoxicity in patients with breast cancer (BC) treated with anthracycline (AC).Materials and methodsA total of 1151 patients with BC treated with anthracyclines, who underwent at least baseline, and first follow-up contrast-enhanced chest CT were evaluated. ECV and left ventricular ejection fraction (LVEF) were measured before (ECV0, LVEF0), during ((ECV1, LVEF1) and (ECV2, LVEF2)), and after (ECV3, LVEF3) AC treatment. ECV values were evaluated at the middle of left ventricular septum on venous phase images. Cancer therapy-related cardiac dysfunction (CTRCD) was recorded.ResultsMean baseline LVEF values were 65.85% ± 2.72% and 102 patients developed CTRCD. The mean ECV0 was 26.76% ± 3.03% (N0 = 1151). ECV1, ECV2, and ECV3 (median interval: 61 (IQR, 46–75), 180 (IQR, 170–190), 350 (IQR, 341–360) days from baseline) were 31.32% ± 3.10%, 29.60% ± 3.24%, and 32.05% ± 3.58% (N1 = 1151, N2 = 841, N3 = 511). ECV1, ECV2, and ECV3 were significantly higher than ECV0 (p < 0.001). ECV0 and ECV1 showed no difference between CTRCD (+) and CTRCD (−) group (p1 = 0.150; p2 = 0.216). However, ECV2 and ECV3 showed significant differences between the two groups (p3 < 0.001; p4 < 0.001).ConclusionCT-derived ECV is a potential biomarker for dynamic monitoring AC cardiotoxicity in patients with BC.
13 schema:genre article
14 schema:inLanguage en
15 schema:isAccessibleForFree true
16 schema:isPartOf N2e223830d99b43e4bf9f5d5ba8a7ed20
17 N52f28ae9ba644acfaec1634a31651ccb
18 sg:journal.1043606
19 schema:keywords AC treatment
20 CT
21 CTRCD group
22 ConclusionCT
23 ECV values
24 LVEF values
25 ObjectivesTo
26 anthracyclines
27 baseline
28 baseline LVEF value
29 biomarkers
30 breast cancer
31 cancer
32 cancer therapy-related cardiac dysfunction
33 cardiac dysfunction
34 cardiotoxicity
35 chest
36 chest CT
37 contrast-enhanced chest
38 contrast-enhanced chest CT
39 differences
40 dysfunction
41 ejection fraction
42 evaluation
43 extracellular volume
44 fraction
45 group
46 images
47 least baseline
48 left ventricular septum
49 longitudinal evaluation
50 materials
51 methodsA total
52 middle
53 myocardial extracellular volume
54 patients
55 phase images
56 potential biomarkers
57 septum
58 significant differences
59 tomography
60 total
61 treatment
62 values
63 venous phase images
64 ventricular ejection fraction
65 ventricular septum
66 volume
67 schema:name Myocardial extracellular volume derived from contrast-enhanced chest computed tomography for longitudinal evaluation of cardiotoxicity in patients with breast cancer treated with anthracyclines
68 schema:pagination 85
69 schema:productId N0ee4260c3b5647349d45d6e911680f07
70 N8b8a097482cf4c2ebc5ebb558f59c14e
71 Nedbc3a16a37c4712b0bce9a76ad67a9a
72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1147579344
73 https://doi.org/10.1186/s13244-022-01224-5
74 schema:sdDatePublished 2022-06-01T22:23
75 schema:sdLicense https://scigraph.springernature.com/explorer/license/
76 schema:sdPublisher N144191292b6e4816b3b4a8a3cae451c3
77 schema:url https://doi.org/10.1186/s13244-022-01224-5
78 sgo:license sg:explorer/license/
79 sgo:sdDataset articles
80 rdf:type schema:ScholarlyArticle
81 N0bd08277dda148a28000549e78c36028 rdf:first N5956238e487f4d97ad2461e620e4dec3
82 rdf:rest rdf:nil
83 N0ee4260c3b5647349d45d6e911680f07 schema:name dimensions_id
84 schema:value pub.1147579344
85 rdf:type schema:PropertyValue
86 N144191292b6e4816b3b4a8a3cae451c3 schema:name Springer Nature - SN SciGraph project
87 rdf:type schema:Organization
88 N2e223830d99b43e4bf9f5d5ba8a7ed20 schema:issueNumber 1
89 rdf:type schema:PublicationIssue
90 N3257c9c7fa0341cea5febb3391527482 rdf:first N5a5d76d224f546d4a72ebf892de43592
91 rdf:rest Nee0991b2639e43348d5226bbf4090a9d
92 N51a18730d11042f6ad7ccd2c3ff54e9b rdf:first sg:person.015771534755.07
93 rdf:rest N3257c9c7fa0341cea5febb3391527482
94 N52f28ae9ba644acfaec1634a31651ccb schema:volumeNumber 13
95 rdf:type schema:PublicationVolume
96 N537b68f24c844717997530fbdca636c9 rdf:first N93d06045adb3473689892eafc50390fc
97 rdf:rest N5aa28cb07a9b43ffb45d4ef32f8939b6
98 N5956238e487f4d97ad2461e620e4dec3 schema:affiliation grid-institutes:grid.190737.b
99 schema:familyName Zhang
100 schema:givenName Jiuquan
101 rdf:type schema:Person
102 N5a5d76d224f546d4a72ebf892de43592 schema:affiliation grid-institutes:None
103 schema:familyName Zhang
104 schema:givenName Xiaoyue
105 rdf:type schema:Person
106 N5aa28cb07a9b43ffb45d4ef32f8939b6 rdf:first Ne62b06f0609642fca90d54ffc49b32d3
107 rdf:rest Nd14a126bf62e491fa57dacf782f04b26
108 N5eb894c85e144489a07ecf050b1ed2e8 schema:affiliation grid-institutes:grid.190737.b
109 schema:familyName Li
110 schema:givenName Xiaoqin
111 rdf:type schema:Person
112 N631a67f14e9f4a85a89886305b2a32ac schema:affiliation grid-institutes:grid.190737.b
113 schema:familyName Lin
114 schema:givenName Meng
115 rdf:type schema:Person
116 N7fdd3eb069a64160bdc8c8ac77490c9f schema:affiliation grid-institutes:grid.190737.b
117 schema:familyName Liu
118 schema:givenName Renwei
119 rdf:type schema:Person
120 N8b8a097482cf4c2ebc5ebb558f59c14e schema:name doi
121 schema:value 10.1186/s13244-022-01224-5
122 rdf:type schema:PropertyValue
123 N8eae2701b7ba43a993befb7c940e7df3 schema:affiliation grid-institutes:grid.190737.b
124 schema:familyName Ran
125 schema:givenName Zijuan
126 rdf:type schema:Person
127 N93d06045adb3473689892eafc50390fc schema:affiliation grid-institutes:grid.190737.b
128 schema:familyName Yuan
129 schema:givenName Xiaoqian
130 rdf:type schema:Person
131 N96c0348e6e51422ea2343aed34b1c20c rdf:first Nb88e11626fce4273aa130feed68f62ad
132 rdf:rest Nb8eb564d60a944359524650535796464
133 Na0a3526dd03f4b92b73e74be16fcafc1 rdf:first Nb49592679c294643a1c3aa4df622b588
134 rdf:rest Nd19e82a2da4f4d429d7800f38625ec57
135 Nac66eb2303cb4d44bad8d80b45f1db40 rdf:first N8eae2701b7ba43a993befb7c940e7df3
136 rdf:rest N51a18730d11042f6ad7ccd2c3ff54e9b
137 Nb49592679c294643a1c3aa4df622b588 schema:affiliation grid-institutes:grid.190737.b
138 schema:familyName Shen
139 schema:givenName Hesong
140 rdf:type schema:Person
141 Nb88e11626fce4273aa130feed68f62ad schema:affiliation grid-institutes:grid.190737.b
142 schema:familyName Wang
143 schema:givenName Xing
144 rdf:type schema:Person
145 Nb8eb564d60a944359524650535796464 rdf:first N5eb894c85e144489a07ecf050b1ed2e8
146 rdf:rest N537b68f24c844717997530fbdca636c9
147 Nc4845b803a2f44bab2fc1b8357a9b73e rdf:first sg:person.011672204631.78
148 rdf:rest Na0a3526dd03f4b92b73e74be16fcafc1
149 Nd14a126bf62e491fa57dacf782f04b26 rdf:first Nfdb82f0b5b124cf68e21d12394644f83
150 rdf:rest Nac66eb2303cb4d44bad8d80b45f1db40
151 Nd19e82a2da4f4d429d7800f38625ec57 rdf:first N7fdd3eb069a64160bdc8c8ac77490c9f
152 rdf:rest N96c0348e6e51422ea2343aed34b1c20c
153 Ne62b06f0609642fca90d54ffc49b32d3 schema:affiliation grid-institutes:grid.190737.b
154 schema:familyName Chen
155 schema:givenName Qiuzhi
156 rdf:type schema:Person
157 Nedbc3a16a37c4712b0bce9a76ad67a9a schema:name pubmed_id
158 schema:value 35507098
159 rdf:type schema:PropertyValue
160 Nee0991b2639e43348d5226bbf4090a9d rdf:first N631a67f14e9f4a85a89886305b2a32ac
161 rdf:rest N0bd08277dda148a28000549e78c36028
162 Nfdb82f0b5b124cf68e21d12394644f83 schema:affiliation grid-institutes:grid.190737.b
163 schema:familyName Wang
164 schema:givenName Yu
165 rdf:type schema:Person
166 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
167 schema:name Medical and Health Sciences
168 rdf:type schema:DefinedTerm
169 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
170 schema:name Oncology and Carcinogenesis
171 rdf:type schema:DefinedTerm
172 sg:journal.1043606 schema:issn 1869-4101
173 schema:name Insights into Imaging
174 schema:publisher Springer Nature
175 rdf:type schema:Periodical
176 sg:person.011672204631.78 schema:affiliation grid-institutes:grid.190737.b
177 schema:familyName Tu
178 schema:givenName Chunrong
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011672204631.78
180 rdf:type schema:Person
181 sg:person.015771534755.07 schema:affiliation grid-institutes:grid.190737.b
182 schema:familyName Lan
183 schema:givenName Xiaosong
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015771534755.07
185 rdf:type schema:Person
186 sg:pub.10.1007/s00431-003-1275-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1043114406
187 https://doi.org/10.1007/s00431-003-1275-y
188 rdf:type schema:CreativeWork
189 sg:pub.10.1007/s11886-018-0961-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101360849
190 https://doi.org/10.1007/s11886-018-0961-3
191 rdf:type schema:CreativeWork
192 sg:pub.10.1038/s41598-017-02627-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1085640590
193 https://doi.org/10.1038/s41598-017-02627-x
194 rdf:type schema:CreativeWork
195 sg:pub.10.1186/1532-429x-15-48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023667471
196 https://doi.org/10.1186/1532-429x-15-48
197 rdf:type schema:CreativeWork
198 sg:pub.10.1186/s12968-016-0308-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017591814
199 https://doi.org/10.1186/s12968-016-0308-4
200 rdf:type schema:CreativeWork
201 sg:pub.10.1186/s13244-020-00922-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1132846697
202 https://doi.org/10.1186/s13244-020-00922-2
203 rdf:type schema:CreativeWork
204 grid-institutes:None schema:alternateName Siemens Healthineers, Xi’an, China
205 schema:name Siemens Healthineers, Xi’an, China
206 rdf:type schema:Organization
207 grid-institutes:grid.190737.b schema:alternateName Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China
208 schema:name Department of Radiology, Chongqing University Cancer Hospital, 181 Hanyu Road, 400030, Chonqing, China
209 rdf:type schema:Organization
 




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


...