{"id":"https://openalex.org/W3088709105","doi":"https://doi.org/10.1186/s12880-020-00505-z","title":"Interobserver variability in quality assessment of magnetic resonance images","display_name":"Interobserver variability in quality assessment of magnetic resonance images","publication_year":2020,"publication_date":"2020-09-22","ids":{"openalex":"https://openalex.org/W3088709105","doi":"https://doi.org/10.1186/s12880-020-00505-z","mag":"3088709105","pmid":"https://pubmed.ncbi.nlm.nih.gov/32962651"},"language":"en","primary_location":{"id":"doi:10.1186/s12880-020-00505-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-020-00505-z","pdf_url":"https://bmcmedimaging.biomedcentral.com/track/pdf/10.1186/s12880-020-00505-z","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedimaging.biomedcentral.com/track/pdf/10.1186/s12880-020-00505-z","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016614829","display_name":"Rafa\u0142 Obuchowicz","orcid":"https://orcid.org/0000-0001-5883-5551"},"institutions":[{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Rafal Obuchowicz","raw_affiliation_strings":["Department of Diagnostic Imaging, Jagiellonian University Medical College, Kopernika Street 19, Cracow, 31-501, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Diagnostic Imaging, Jagiellonian University Medical College, Kopernika Street 19, Cracow, 31-501, Poland","institution_ids":["https://openalex.org/I126596746"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042696358","display_name":"Mariusz Oszust","orcid":"https://orcid.org/0000-0002-5482-6313"},"institutions":[{"id":"https://openalex.org/I111664937","display_name":"Rzesz\u00f3w University of Technology","ror":"https://ror.org/056xse072","country_code":"PL","type":"education","lineage":["https://openalex.org/I111664937"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Mariusz Oszust","raw_affiliation_strings":["Department of Computer and Control Engineering, Rzeszow University of Technology, Wincentego Pola 2, Rzeszow, 35-959, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Control Engineering, Rzeszow University of Technology, Wincentego Pola 2, Rzeszow, 35-959, Poland","institution_ids":["https://openalex.org/I111664937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087565712","display_name":"Adam Pi\u00f3rkowski","orcid":"https://orcid.org/0000-0003-4773-5322"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Adam Piorkowski","raw_affiliation_strings":["Department of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology, Mickiewicza 30, Cracow, 30-059, Poland. pioro@agh.edu.pl","Department of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology, Mickiewicza 30, Cracow, 30-059, Poland"],"raw_orcid":"https://orcid.org/0000-0003-4773-5322","affiliations":[{"raw_affiliation_string":"Department of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology, Mickiewicza 30, Cracow, 30-059, Poland. pioro@agh.edu.pl","institution_ids":["https://openalex.org/I686019"]},{"raw_affiliation_string":"Department of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology, Mickiewicza 30, Cracow, 30-059, Poland","institution_ids":["https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087565712"],"corresponding_institution_ids":["https://openalex.org/I686019"],"apc_list":{"value":2380,"currency":"USD","value_usd":2380},"apc_paid":{"value":2380,"currency":"USD","value_usd":2380},"fwci":1.2647,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.8283549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"20","issue":"1","first_page":"109","last_page":"109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11894","display_name":"Radiology practices and education","score":0.4348999857902527,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11894","display_name":"Radiology practices and education","score":0.4348999857902527,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13309","display_name":"Reliability and Agreement in Measurement","score":0.1964000016450882,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.12929999828338623,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kappa","display_name":"Kappa","score":0.7611798048019409},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6661280393600464},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.6476073265075684},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5870035886764526},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.555774986743927},{"id":"https://openalex.org/keywords/cohens-kappa","display_name":"Cohen's kappa","score":0.5284117460250854},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5081076622009277},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.4923607110977173},{"id":"https://openalex.org/keywords/spearmans-rank-correlation-coefficient","display_name":"Spearman's rank correlation coefficient","score":0.4887799918651581},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.45246031880378723},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.4194277822971344},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3727377653121948},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.3654794692993164},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29253923892974854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2828384041786194},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.26680684089660645},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18310627341270447},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14030462503433228}],"concepts":[{"id":"https://openalex.org/C2778724333","wikidata":"https://www.wikidata.org/wiki/Q14401","display_name":"Kappa","level":2,"score":0.7611798048019409},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6661280393600464},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.6476073265075684},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5870035886764526},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.555774986743927},{"id":"https://openalex.org/C163864269","wikidata":"https://www.wikidata.org/wiki/Q1107106","display_name":"Cohen's kappa","level":2,"score":0.5284117460250854},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5081076622009277},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.4923607110977173},{"id":"https://openalex.org/C159744936","wikidata":"https://www.wikidata.org/wiki/Q1126730","display_name":"Spearman's rank correlation coefficient","level":2,"score":0.4887799918651581},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.45246031880378723},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.4194277822971344},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3727377653121948},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.3654794692993164},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29253923892974854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2828384041786194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.26680684089660645},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18310627341270447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14030462503433228},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005556","descriptor_name":"Form Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005556","descriptor_name":"Form Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005556","descriptor_name":"Form Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011856","descriptor_name":"Radiographic Image Enhancement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011856","descriptor_name":"Radiographic Image Enhancement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011856","descriptor_name":"Radiographic Image Enhancement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015588","descriptor_name":"Observer Variation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015588","descriptor_name":"Observer Variation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015588","descriptor_name":"Observer Variation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12880-020-00505-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-020-00505-z","pdf_url":"https://bmcmedimaging.biomedcentral.com/track/pdf/10.1186/s12880-020-00505-z","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},{"id":"pmid:32962651","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32962651","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC medical imaging","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7509933","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7509933","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Imaging","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:fdd5c172a716450f9ef84691e563324d","is_oa":true,"landing_page_url":"https://doaj.org/article/fdd5c172a716450f9ef84691e563324d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Imaging, Vol 20, Iss 1, Pp 1-10 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12880-020-00505-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-020-00505-z","pdf_url":"https://bmcmedimaging.biomedcentral.com/track/pdf/10.1186/s12880-020-00505-z","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G5006570393","display_name":null,"funder_award_id":"16.16.120.773","funder_id":"https://openalex.org/F4320324664","funder_display_name":"Akademia G\u00f3rniczo-Hutnicza im. Stanislawa Staszica"}],"funders":[{"id":"https://openalex.org/F4320324664","display_name":"Akademia G\u00f3rniczo-Hutnicza im. Stanislawa Staszica","ror":"https://ror.org/00bas1c41"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3088709105.pdf","grobid_xml":"https://content.openalex.org/works/W3088709105.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W101774014","https://openalex.org/W1849559129","https://openalex.org/W1970991589","https://openalex.org/W1975879668","https://openalex.org/W1990873664","https://openalex.org/W1998113035","https://openalex.org/W2009505559","https://openalex.org/W2010651745","https://openalex.org/W2014547837","https://openalex.org/W2017602457","https://openalex.org/W2025197852","https://openalex.org/W2025887754","https://openalex.org/W2027929477","https://openalex.org/W2031224239","https://openalex.org/W2033961013","https://openalex.org/W2041967162","https://openalex.org/W2045080206","https://openalex.org/W2046119925","https://openalex.org/W2046184283","https://openalex.org/W2052244801","https://openalex.org/W2067018983","https://openalex.org/W2073082201","https://openalex.org/W2076311841","https://openalex.org/W2083747018","https://openalex.org/W2099631097","https://openalex.org/W2102033269","https://openalex.org/W2126604880","https://openalex.org/W2127109751","https://openalex.org/W2133665775","https://openalex.org/W2141998046","https://openalex.org/W2143241917","https://openalex.org/W2148177887","https://openalex.org/W2148848374","https://openalex.org/W2149582851","https://openalex.org/W2154370226","https://openalex.org/W2157885417","https://openalex.org/W2158564760","https://openalex.org/W2161907179","https://openalex.org/W2168949512","https://openalex.org/W2193581139","https://openalex.org/W2767244312","https://openalex.org/W2910524170","https://openalex.org/W2923444320","https://openalex.org/W2956423933","https://openalex.org/W3100404621"],"related_works":["https://openalex.org/W1967594194","https://openalex.org/W1444168786","https://openalex.org/W2294084971","https://openalex.org/W2148964467","https://openalex.org/W2281321759","https://openalex.org/W2474048269","https://openalex.org/W2792864698","https://openalex.org/W1966976587","https://openalex.org/W2292870489","https://openalex.org/W4294214983"],"abstract_inverted_index":{"Abstract":[0],"Background":[1],"The":[2,17,101,134,160,201,223],"perceptual":[3],"quality":[4,28,89,155,213],"of":[5,19,34,86,104,125,129,156,169,192,195,215,235,238,250,261,265],"magnetic":[6],"resonance":[7],"(MR)":[8],"images":[9,47,217],"influences":[10],"diagnosis":[11],"and":[12,50,187,248,268],"may":[13],"compromise":[14],"the":[15,26,31,39,65,70,73,87,110,119,126,130,154,157,167,170,178,190,193,209,212,233,236,245,253,256,259,262,266],"treatment.":[16],"purpose":[18],"this":[20],"study":[21,257],"was":[22,48,93,106,180,242],"to":[23,95,182,188],"evaluate":[24],"how":[25],"image":[27,88,246],"changes":[29],"influence":[30],"interobserver":[32],"variability":[33,40],"their":[35,269],"assessment.":[36],"Methods":[37],"For":[38],"evaluation,":[41],"a":[42,82,97,140],"dataset":[43],"containing":[44],"distorted":[45],"MRI":[46],"prepared":[49],"then":[51],"assessed":[52,158],"by":[53,108,166],"31":[54],"experienced":[55],"medical":[56],"professionals":[57],"(radiologists).":[58],"Differences":[59],"between":[60,115],"observers":[61,267],"were":[62],"analyzed":[63],"using":[64],"Fleiss\u2019":[66],"kappa.":[67],"However,":[68],"since":[69],"kappa":[71],"evaluates":[72],"agreement":[74,142,224],"among":[75,143,226],"radiologists":[76,105,144,227],"taking":[77],"into":[78],"account":[79],"aggregated":[80],"decisions,":[81],"typically":[83],"employed":[84],"criterion":[85],"assessment":[90,214],"(IQA)":[91],"performance":[92,103,185],"used":[94,181],"provide":[96],"more":[98],"thorough":[99],"analysis.":[100],"IQA":[102],"evaluated":[107],"comparing":[109],"Spearman":[111],"correlation":[112],"coefficients,":[113],"\u03c1,":[114],"individual":[116],"scores":[117,122,197],"with":[118],"mean":[120],"opinion":[121],"(MOS)":[123],"composed":[124],"subjective":[127],"opinions":[128],"remaining":[131],"professionals.":[132],"Results":[133],"experiments":[135],"show":[136],"that":[137,211,244],"there":[138],"is":[139,163],"significant":[141],"(\u03ba=0.12;":[145],"95%":[146],"confidence":[147],"interval":[148],"[CI]:":[149],"0.118,":[150],"0.121;":[151],"P<0.001)":[152],"on":[153],"images.":[159,240],"resulted":[161],"\u03ba":[162],"strongly":[164],"affected":[165],"subjectivity":[168,234],"assigned":[171],"scores,":[172],"separately":[173],"presenting":[174],"close":[175],"scores.":[176],"Therefore,":[177],"\u03c1":[179],"identify":[183],"poor":[184],"cases":[186],"confirm":[189],"consistency":[191],"majority":[194],"collected":[196],"(\u03c1mean":[198,205],"=":[199,206],"0.5706).":[200],"results":[202],"for":[203],"interns":[204],"0.6868)":[207],"supports":[208],"finding":[210],"MR":[216,239],"can":[218],"be":[219],"successfully":[220],"taught.":[221],"Conclusions":[222],"observed":[225],"from":[228],"different":[229],"imaging":[230],"centers":[231],"confirms":[232],"perception":[237],"It":[241],"shown":[243],"content":[247],"severity":[249],"distortions":[251],"affect":[252],"IQA.":[254],"Furthermore,":[255],"highlights":[258],"importance":[260],"psychosomatic":[263],"condition":[264],"attitude.":[270]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
