Ontology type: schema:ScholarlyArticle
2006-05-30
AUTHORSMartin Heuschmid, Benjamin Wiesinger, Gunnar Tepe, Oliver Luz, Andreas F. Kopp, Claus D. Claussen, Stephan H. Duda
ABSTRACTImage quality, visible lumen and patency of lower limb stents was assessed by multidetector-row computed tomography (MDCT) angiography using various reconstruction parameters and the results compared with conventional angiography. Fourteen patients (25 stents) were evaluated. From MDCT datasets, axial and coronal oblique reformations were reconstructed using differing reconstruction parameters (slice thickness, kernel, views). Artifacts and image quality were assessed using a five-degree scale (1=excellent, 5=poor). Visible stent diameter was measured. Stenosis severity was compared with calibrated catheter angiography. The image quality of medium and sharp image kernels were good/fair (1.9–2.4), while smooth kernel provided only acceptable/poor image quality (3.9–4.4). Coronal oblique images were rated superior to assess in-stent lumen rather than axial. Using medium and sharp kernels, the visible stent lumen was significantly greater than using smooth kernel (P<0.001). thirteen out of fourteen patients (24/25 stents) were correctly classified as patent. In one patient, in-stent stenosis (≥50%) was falsely diagnosed using CT angiography (CTA) with smooth kernel and was, therefore, rated as false positive. Coronal oblique views, as well as medium and sharp kernels, have shown the best results regarding image quality to assess stent patency in the lower limb. Therefore, MDCT could be a valuable non-invasive modality for stent imaging in the peripheral vasculature. More... »
PAGES265-271
http://scigraph.springernature.com/pub.10.1007/s00330-006-0315-1
DOIhttp://dx.doi.org/10.1007/s00330-006-0315-1
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1001420029
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/16733677
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": "Aged",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Angiography",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Angiography, Digital Subtraction",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Arterial Occlusive Diseases",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Artifacts",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Female",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Leg",
"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": "Stents",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Tomography, X-Ray Computed",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Department of Diagnostic Radiology, University Hospital Tuebingen, Eberhard-Karls-University, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany",
"id": "http://www.grid.ac/institutes/grid.411544.1",
"name": [
"Department of Diagnostic Radiology, University Hospital Tuebingen, Eberhard-Karls-University, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany"
],
"type": "Organization"
},
"familyName": "Heuschmid",
"givenName": "Martin",
"id": "sg:person.01354460407.28",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01354460407.28"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Diagnostic Radiology, University Hospital Tuebingen, Eberhard-Karls-University, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany",
"id": "http://www.grid.ac/institutes/grid.411544.1",
"name": [
"Department of Diagnostic Radiology, University Hospital Tuebingen, Eberhard-Karls-University, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany"
],
"type": "Organization"
},
"familyName": "Wiesinger",
"givenName": "Benjamin",
"id": "sg:person.01173212701.68",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173212701.68"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Diagnostic Radiology, University Hospital Tuebingen, Eberhard-Karls-University, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany",
"id": "http://www.grid.ac/institutes/grid.411544.1",
"name": [
"Department of Diagnostic Radiology, University Hospital Tuebingen, Eberhard-Karls-University, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany"
],
"type": "Organization"
},
"familyName": "Tepe",
"givenName": "Gunnar",
"id": "sg:person.01235146031.45",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01235146031.45"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Diagnostic Radiology, University Hospital Tuebingen, Eberhard-Karls-University, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany",
"id": "http://www.grid.ac/institutes/grid.411544.1",
"name": [
"Department of Diagnostic Radiology, University Hospital Tuebingen, Eberhard-Karls-University, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany"
],
"type": "Organization"
},
"familyName": "Luz",
"givenName": "Oliver",
"id": "sg:person.01105213147.88",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105213147.88"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Diagnostic Radiology, University Hospital Tuebingen, Eberhard-Karls-University, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany",
"id": "http://www.grid.ac/institutes/grid.411544.1",
"name": [
"Department of Diagnostic Radiology, University Hospital Tuebingen, Eberhard-Karls-University, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany"
],
"type": "Organization"
},
"familyName": "Kopp",
"givenName": "Andreas F.",
"id": "sg:person.0770661650.70",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0770661650.70"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Diagnostic Radiology, University Hospital Tuebingen, Eberhard-Karls-University, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany",
"id": "http://www.grid.ac/institutes/grid.411544.1",
"name": [
"Department of Diagnostic Radiology, University Hospital Tuebingen, Eberhard-Karls-University, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany"
],
"type": "Organization"
},
"familyName": "Claussen",
"givenName": "Claus D.",
"id": "sg:person.012561241352.36",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012561241352.36"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Radiology, Jewish Hospital Berlin, Berlin, Germany",
"id": "http://www.grid.ac/institutes/grid.492100.e",
"name": [
"Department of Diagnostic Radiology, University Hospital Tuebingen, Eberhard-Karls-University, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany",
"Department of Radiology, Jewish Hospital Berlin, Berlin, Germany"
],
"type": "Organization"
},
"familyName": "Duda",
"givenName": "Stephan H.",
"id": "sg:person.011641132444.51",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011641132444.51"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/s00330-005-2797-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023529327",
"https://doi.org/10.1007/s00330-005-2797-7"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00338302",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032087998",
"https://doi.org/10.1007/bf00338302"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00117-002-0787-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046353431",
"https://doi.org/10.1007/s00117-002-0787-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00330-002-1651-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1075259949",
"https://doi.org/10.1007/s00330-002-1651-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00330-004-2594-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021214848",
"https://doi.org/10.1007/s00330-004-2594-8"
],
"type": "CreativeWork"
}
],
"datePublished": "2006-05-30",
"datePublishedReg": "2006-05-30",
"description": "Image quality, visible lumen and patency of lower limb stents was assessed by multidetector-row computed tomography (MDCT) angiography using various reconstruction parameters and the results compared with conventional angiography. Fourteen patients (25 stents) were evaluated. From MDCT datasets, axial and coronal oblique reformations were reconstructed using differing reconstruction parameters (slice thickness, kernel, views). Artifacts and image quality were assessed using a five-degree scale (1=excellent, 5=poor). Visible stent diameter was measured. Stenosis severity was compared with calibrated catheter angiography. The image quality of medium and sharp image kernels were good/fair (1.9\u20132.4), while smooth kernel provided only acceptable/poor image quality (3.9\u20134.4). Coronal oblique images were rated superior to assess in-stent lumen rather than axial. Using medium and sharp kernels, the visible stent lumen was significantly greater than using smooth kernel (P<0.001). thirteen out of fourteen patients (24/25 stents) were correctly classified as patent. In one patient, in-stent stenosis (\u226550%) was falsely diagnosed using CT angiography (CTA) with smooth kernel and was, therefore, rated as false positive. Coronal oblique views, as well as medium and sharp kernels, have shown the best results regarding image quality to assess stent patency in the lower limb. Therefore, MDCT could be a valuable non-invasive modality for stent imaging in the peripheral vasculature.",
"genre": "article",
"id": "sg:pub.10.1007/s00330-006-0315-1",
"inLanguage": "en",
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1289120",
"issn": [
"0938-7994",
"1432-1084"
],
"name": "European Radiology",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "17"
}
],
"keywords": [
"CT angiography",
"stent lumen",
"multidetector-row CT angiography",
"coronal oblique images",
"non-invasive modality",
"stent patency",
"catheter angiography",
"peripheral vasculature",
"conventional angiography",
"visible stent lumen",
"stent stenosis",
"lower limbs",
"stent diameter",
"stenosis severity",
"angiography",
"oblique reformations",
"patients",
"visible lumen",
"sharp kernel",
"oblique views",
"patency",
"stent imaging",
"stents",
"lumen",
"MDCT datasets",
"poor image quality",
"five-degree scale",
"initial findings",
"image quality",
"stenosis",
"MDCT",
"severity",
"vasculature",
"tomography",
"limb",
"modalities",
"oblique images",
"reconstruction parameters",
"imaging",
"image reconstruction parameters",
"quality",
"findings",
"better results",
"evaluation",
"patents",
"results",
"diameter",
"scale",
"parameters",
"view",
"images",
"reformation",
"artifacts",
"dataset",
"image kernel",
"smooth kernel",
"kernel"
],
"name": "Evaluation of various image reconstruction parameters in lower extremity stents using multidetector-row CT angiography: initial findings",
"pagination": "265-271",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1001420029"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00330-006-0315-1"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"16733677"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00330-006-0315-1",
"https://app.dimensions.ai/details/publication/pub.1001420029"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-10T09:57",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_427.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s00330-006-0315-1"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00330-006-0315-1'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00330-006-0315-1'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-006-0315-1'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-006-0315-1'
This table displays all metadata directly associated to this object as RDF triples.
233 TRIPLES
22 PREDICATES
100 URIs
87 LITERALS
19 BLANK NODES