Ontology type: schema:ScholarlyArticle
2015-08
AUTHORSMi Hye Yu, Jeong Min Lee, Bo Yun Hur, Tae-You Kim, Seung-Yong Jeong, Nam-Joon Yi, Kyung-Suk Suh, Joon Koo Han, Byung-Ihn Choi
ABSTRACTOBJECTIVES: To investigate the diagnostic performance of gadoxetic acid-enhanced MRI including diffusion-weighted imaging (DWI) for the detection of colorectal liver metastases (CRLMs) after neoadjuvant chemotherapy (NAC). METHODS: Our study population comprised 77 patients with 140 CRLMs who underwent gadoxetic acid-enhanced MRI within 1 month prior to surgery: group A (without NAC, n = 38) and group B (with NAC, n = 39). Two radiologists independently assessed all MR images and graded their diagnostic confidence for CRLM on a 5-point scale. Diagnostic accuracy, sensitivity and positive predictive values (PPV) were calculated and compared between the two groups. RESULTS: Diagnostic accuracy of gadoxetic acid-enhanced MRI in group B was slightly lower than in group A, but a statistically significant difference was not observed (observer 1: A z, 0.926 in group A, 0.905 in group B; observer 2: A z, 0.944 in group A, 0.885 in group B; p > 0.05). Sensitivity and PPV of group B were comparable to those of group A (observer 1: sensitivity = 93.5 % vs. 93.6 %, PPV = 95.1 % vs. 86.9 %; observer 2: sensitivity = 96.8 % vs. 91.0 %; PPV = 90.0 % vs. 89.7 %; all p > 0.05). CONCLUSIONS: Gadoxetic acid-enhanced MRI including DWI provided good diagnostic performance with high sensitivity (>90 %) for the detection of CRLMs, regardless of the influence of NAC. KEY POINTS: • Gadoxetic acid-enhanced MRI including DWI shows high sensitivity for CRLMs. • Chemotherapy does not influence the diagnostic performance of liver MRI for CRLMs. • Gadoxetic acid-enhanced MRI can be used for evaluation of CRLMs after NAC. More... »
PAGES2428-2436
http://scigraph.springernature.com/pub.10.1007/s00330-015-3615-5
DOIhttp://dx.doi.org/10.1007/s00330-015-3615-5
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/25899413
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]
}
],
"sameAs": [
"https://doi.org/10.1007/s00330-015-3615-5",
"https://app.dimensions.ai/details/publication/pub.1013330161"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T12:15",
"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/v90/0000000361_0000000361/records_54011_00000000.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007%2Fs00330-015-3615-5"
}
]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/s00330-015-3615-5'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00330-015-3615-5'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-015-3615-5'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-015-3615-5'
This table displays all metadata directly associated to this object as RDF triples.
319 TRIPLES
21 PREDICATES
81 URIs
41 LITERALS
29 BLANK NODES