Ontology type: schema:ScholarlyArticle
2018-09
AUTHORSJu Gang Nam, Jeong Min Lee, Hyo-Jin Kang, Sang Min Lee, Eunju Kim, Johannes M. Peeters, Jeong Hee Yoon
ABSTRACTOBJECTIVE: To evaluate the clinical feasibility and image quality of breath-hold (BH) three-dimensional (3D) magnetic resonance cholangiopancreatography (MRCP) using a gradient and spin-echo (GRASE) technique compared to the conventional 3D respiratory-triggered (RT)-MRCP using a turbo spin-echo (TSE) sequence at 3 T. METHODS: Sixty-six patients underwent both 3D RT-TSE-MRCP and 3D BH-GRASE-MRCP at 3 T. Three radiologists independently reviewed the visualisation of biliary and pancreatic ducts, image blurring, and overall image quality of the two data sets using four- or five-point scales. The numbers of scans with non-diagnostic or poor image quality were compared between the two scans. RESULTS: The 3D BH-GRASE-MRCP had a significantly better image quality (3.69 ± 0.77 vs. 3.30 ± 1.18, p = 0.005) and less image blurring (3.23 ± 0.94 vs. 3.65 ± 0.57, p = 0.0003) than the 3D RT-TSE-MRCP. In detail, 3D BH-GRASE-MRCP better depicted the common bile duct, cystic duct, and bilateral first intrahepatic duct (all ps < 0.05). The number of scans with non-diagnostic or poor image quality significantly decreased with 3D BH-GRASE-MRCP compared with 3D RT-TSE-MRCP [19.7% (13/66) vs. 1.5% (1/66), p = 0.002]. CONCLUSION: The 3D BH-GRASE-MRCP provided better image quality and a reduced number of non-diagnostic images compared to 3D RT-TSE-MRCP. KEY POINTS: • The GRASE technique enabled 3D MRCP acquisition within a single breath-hold. • The short acquisition time of 3D BH-GRASE-MRCP significantly reduced image blurring. • The 3D BH-GRASE-MRCP had a better image quality than 3D RT-TSE-MRCP. • The number of non-diagnostic scans was reduced with 3D BH-GRASE-MRCP. More... »
PAGES3721-3728
http://scigraph.springernature.com/pub.10.1007/s00330-017-5275-0
DOIhttp://dx.doi.org/10.1007/s00330-017-5275-0
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1100770224
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/29392471
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/2008/0801",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Artificial Intelligence and Image Processing",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Information and Computing Sciences",
"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": "Bile Duct Diseases",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Bile Ducts",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Breath Holding",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Cholangiopancreatography, Magnetic Resonance",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Feasibility Studies",
"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": "Imaging, Three-Dimensional",
"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": "Pancreatic Diseases",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Pancreatic Ducts",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Reproducibility of Results",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Young Adult",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Seoul National University Hospital",
"id": "https://www.grid.ac/institutes/grid.412484.f",
"name": [
"Department of Radiology and Institute of Radiation Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080, Seoul, Republic of Korea",
"College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080, Seoul, Republic of Korea"
],
"type": "Organization"
},
"familyName": "Nam",
"givenName": "Ju Gang",
"id": "sg:person.012217447334.05",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012217447334.05"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Seoul National University Hospital",
"id": "https://www.grid.ac/institutes/grid.412484.f",
"name": [
"Department of Radiology and Institute of Radiation Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080, Seoul, Republic of Korea",
"College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080, Seoul, Republic of Korea",
"Institute of Radiation Medicine, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, 03087, Seoul, Republic of Korea"
],
"type": "Organization"
},
"familyName": "Lee",
"givenName": "Jeong Min",
"id": "sg:person.01266602714.81",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266602714.81"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Seoul National University Hospital",
"id": "https://www.grid.ac/institutes/grid.412484.f",
"name": [
"Department of Radiology and Institute of Radiation Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080, Seoul, Republic of Korea",
"College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080, Seoul, Republic of Korea"
],
"type": "Organization"
},
"familyName": "Kang",
"givenName": "Hyo-Jin",
"id": "sg:person.01011545037.83",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01011545037.83"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Hallym University Sacred Heart Hospital",
"id": "https://www.grid.ac/institutes/grid.488421.3",
"name": [
"Radiology, Hallym University Sacred Heart Hospital, 14068, Gyeonggi-do, Korea"
],
"type": "Organization"
},
"familyName": "Lee",
"givenName": "Sang Min",
"id": "sg:person.01315300754.59",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315300754.59"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Philips Healthcare Korea, 04637, Seoul, Republic of Korea"
],
"type": "Organization"
},
"familyName": "Kim",
"givenName": "Eunju",
"id": "sg:person.011631141441.47",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011631141441.47"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Philips MR Clinical Science, Best, The Netherlands"
],
"type": "Organization"
},
"familyName": "Peeters",
"givenName": "Johannes M.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Seoul National University Hospital",
"id": "https://www.grid.ac/institutes/grid.412484.f",
"name": [
"Department of Radiology and Institute of Radiation Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080, Seoul, Republic of Korea",
"College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080, Seoul, Republic of Korea"
],
"type": "Organization"
},
"familyName": "Yoon",
"givenName": "Jeong Hee",
"id": "sg:person.01020423064.40",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020423064.40"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/s00261-016-0936-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000874964",
"https://doi.org/10.1007/s00261-016-0936-z"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00261-016-0936-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000874964",
"https://doi.org/10.1007/s00261-016-0936-z"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.mri.2013.06.008",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001226965"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.mric.2007.06.009",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002819137"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.mric.2008.04.005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005697364"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/jmri.1880070404",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012540037"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiol.2493080389",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016021973"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiol.12112715",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016200704"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11604-009-0365-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016302072",
"https://doi.org/10.1007/s11604-009-0365-9"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11604-009-0365-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016302072",
"https://doi.org/10.1007/s11604-009-0365-9"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11604-009-0365-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016302072",
"https://doi.org/10.1007/s11604-009-0365-9"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1111/j.1572-0241.2007.01279.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020889593",
"https://doi.org/10.1111/j.1572-0241.2007.01279.x"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/(sici)1522-2586(199902)9:2<157::aid-jmri2>3.0.co;2-n",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022636288"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/jmri.25289",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024392335"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/jmri.24033",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026849024"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00261-014-0099-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027476957",
"https://doi.org/10.1007/s00261-014-0099-8"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiology.210.1.r99ja05247",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029105548"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/mrm.1910330411",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030812399"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00261-015-0633-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039143080",
"https://doi.org/10.1007/s00261-015-0633-3"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiol.2382032065",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042052395"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/jmri.23571",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049796358"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1259/bjr/28094700",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064568800"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1259/bjr/28094700",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064568800"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiology.181.2.1924811",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1077855662"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiol.2016151935",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1079242836"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiol.2016160482",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1079313111"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/rli.0000000000000380",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085076763"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/rli.0000000000000380",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085076763"
],
"type": "CreativeWork"
}
],
"datePublished": "2018-09",
"datePublishedReg": "2018-09-01",
"description": "OBJECTIVE: To evaluate the clinical feasibility and image quality of breath-hold (BH) three-dimensional (3D) magnetic resonance cholangiopancreatography (MRCP) using a gradient and spin-echo (GRASE) technique compared to the conventional 3D respiratory-triggered (RT)-MRCP using a turbo spin-echo (TSE) sequence at 3 T.\nMETHODS: Sixty-six patients underwent both 3D RT-TSE-MRCP and 3D BH-GRASE-MRCP at 3 T. Three radiologists independently reviewed the visualisation of biliary and pancreatic ducts, image blurring, and overall image quality of the two data sets using four- or five-point scales. The numbers of scans with non-diagnostic or poor image quality were compared between the two scans.\nRESULTS: The 3D BH-GRASE-MRCP had a significantly better image quality (3.69 \u00b1 0.77 vs. 3.30 \u00b1 1.18, p = 0.005) and less image blurring (3.23 \u00b1 0.94 vs. 3.65 \u00b1 0.57, p = 0.0003) than the 3D RT-TSE-MRCP. In detail, 3D BH-GRASE-MRCP better depicted the common bile duct, cystic duct, and bilateral first intrahepatic duct (all ps < 0.05). The number of scans with non-diagnostic or poor image quality significantly decreased with 3D BH-GRASE-MRCP compared with 3D RT-TSE-MRCP [19.7% (13/66) vs. 1.5% (1/66), p = 0.002].\nCONCLUSION: The 3D BH-GRASE-MRCP provided better image quality and a reduced number of non-diagnostic images compared to 3D RT-TSE-MRCP.\nKEY POINTS: \u2022 The GRASE technique enabled 3D MRCP acquisition within a single breath-hold. \u2022 The short acquisition time of 3D BH-GRASE-MRCP significantly reduced image blurring. \u2022 The 3D BH-GRASE-MRCP had a better image quality than 3D RT-TSE-MRCP. \u2022 The number of non-diagnostic scans was reduced with 3D BH-GRASE-MRCP.",
"genre": "research_article",
"id": "sg:pub.10.1007/s00330-017-5275-0",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1289120",
"issn": [
"0938-7994",
"1432-1084"
],
"name": "European Radiology",
"type": "Periodical"
},
{
"issueNumber": "9",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "28"
}
],
"name": "GRASE Revisited: breath-hold three-dimensional (3D) magnetic resonance cholangiopancreatography using a Gradient and Spin Echo (GRASE) technique at 3T",
"pagination": "3721-3728",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"64c2cac06ea122810b944835974312d48cba6064dc74f6eaccad31b700bb36b1"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"29392471"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"9114774"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00330-017-5275-0"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1100770224"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00330-017-5275-0",
"https://app.dimensions.ai/details/publication/pub.1100770224"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T20:11",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8681_00000609.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007%2Fs00330-017-5275-0"
}
]
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/s00330-017-5275-0'
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/s00330-017-5275-0'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-017-5275-0'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-017-5275-0'
This table displays all metadata directly associated to this object as RDF triples.
257 TRIPLES
21 PREDICATES
68 URIs
37 LITERALS
25 BLANK NODES