Ontology type: schema:ScholarlyArticle Open Access: True
2017-05
AUTHORSRania Farouk El Sayed, Celine D. Alt, Francesca Maccioni, Matthias Meissnitzer, Gabriele Masselli, Lucia Manganaro, Valeria Vinci, Dominik Weishaupt, On behalf of the ESUR and ESGAR Pelvic Floor Working Group
ABSTRACTOBJECTIVE: To develop recommendations that can be used as guidance for standardized approach regarding indications, patient preparation, sequences acquisition, interpretation and reporting of magnetic resonance imaging (MRI) for diagnosis and grading of pelvic floor dysfunction (PFD). METHODS: The technique included critical literature between 1993 and 2013 and expert consensus about MRI protocols by the pelvic floor-imaging working group of the European Society of Urogenital Radiology (ESUR) and the European Society of Gastrointestinal and Abdominal Radiology (ESGAR) from one Egyptian and seven European institutions. Data collection and analysis were achieved in 5 consecutive steps. Eighty-two items were scored to be eligible for further analysis and scaling. Agreement of at least 80 % was defined as consensus finding. RESULTS: Consensus was reached for 88 % of 82 items. Recommended reporting template should include two main sections for measurements and grading. The pubococcygeal line (PCL) is recommended as the reference line to measure pelvic organ prolapse. The recommended grading scheme is the "Rule of three" for Pelvic Organ Prolapse (POP), while a rectocele and ARJ descent each has its specific grading system. CONCLUSION: This literature review and expert consensus recommendations can be used as guidance for MR imaging and reporting of PFD. KEY POINTS: • These recommendations highlight the most important prerequisites to obtain a diagnostic PFD-MRI. • Static, dynamic and evacuation sequences should be generally performed for PFD evaluation. • The recommendations were constructed through consensus among 13 radiologists from 8 institutions. More... »
PAGES2067-2085
http://scigraph.springernature.com/pub.10.1007/s00330-016-4471-7
DOIhttp://dx.doi.org/10.1007/s00330-016-4471-7
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/27488850
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"https://doi.org/10.1007/s00330-016-4471-7",
"https://app.dimensions.ai/details/publication/pub.1020676577"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T12:27",
"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/v90/0000000362_0000000362/records_87119_00000000.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs00330-016-4471-7"
}
]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/s00330-016-4471-7'
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/s00330-016-4471-7'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-016-4471-7'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-016-4471-7'
This table displays all metadata directly associated to this object as RDF triples.
307 TRIPLES
21 PREDICATES
81 URIs
29 LITERALS
17 BLANK NODES