{"id":"https://openalex.org/W4285043545","doi":"https://doi.org/10.1155/2022/5700249","title":"Correlation between Blood Oxygen Level-Dependent Magnetic Resonance Imaging Images and Prognosis of Patients with Multicenter Diabetic Nephropathy on account of Artificial Intelligence Segmentation Algorithm","display_name":"Correlation between Blood Oxygen Level-Dependent Magnetic Resonance Imaging Images and Prognosis of Patients with Multicenter Diabetic Nephropathy on account of Artificial Intelligence Segmentation Algorithm","publication_year":2022,"publication_date":"2022-07-11","ids":{"openalex":"https://openalex.org/W4285043545","doi":"https://doi.org/10.1155/2022/5700249","pmid":"https://pubmed.ncbi.nlm.nih.gov/35860185","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/9293502"},"language":"en","primary_location":{"id":"doi:10.1155/2022/5700249","doi":"https://doi.org/10.1155/2022/5700249","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/5700249","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2022/5700249.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cmmm/2022/5700249.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054382058","display_name":"Yifan Zhang","orcid":"https://orcid.org/0000-0002-3616-1899","observed_orcids":["https://orcid.org/0000-0002-3616-1899"]},"institutions":[{"id":"https://openalex.org/I4210099759","display_name":"Wenzhou Central Hospital","ror":"https://ror.org/00w5h0n54","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210099759"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifan Zhang","raw_affiliation_strings":["Department of Nephrology, Wenzhou Central Hospital, Wenzhou, 325000 Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-3616-1899","affiliations":[{"raw_affiliation_string":"Department of Nephrology, Wenzhou Central Hospital, Wenzhou, 325000 Zhejiang, China","institution_ids":["https://openalex.org/I4210099759"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004742770","display_name":"Xiaohan Wang","orcid":"https://orcid.org/0000-0002-5216-3616","observed_orcids":["https://orcid.org/0000-0002-5216-3616"]},"institutions":[{"id":"https://openalex.org/I4210099759","display_name":"Wenzhou Central Hospital","ror":"https://ror.org/00w5h0n54","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210099759"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohan Wang","raw_affiliation_strings":["Department of Radiology, Wenzhou Central Hospital, Wenzhou, 325000 Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-5216-3616","affiliations":[{"raw_affiliation_string":"Department of Radiology, Wenzhou Central Hospital, Wenzhou, 325000 Zhejiang, China","institution_ids":["https://openalex.org/I4210099759"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhaoyu Lin","orcid":"https://orcid.org/0000-0001-9334-2154","observed_orcids":["https://orcid.org/0000-0001-9334-2154"]},"institutions":[{"id":"https://openalex.org/I4210099759","display_name":"Wenzhou Central Hospital","ror":"https://ror.org/00w5h0n54","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210099759"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyu Lin","raw_affiliation_strings":["Department of Endocrinology, Wenzhou Central Hospital, Wenzhou, 325000 Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0001-9334-2154","affiliations":[{"raw_affiliation_string":"Department of Endocrinology, Wenzhou Central Hospital, Wenzhou, 325000 Zhejiang, China","institution_ids":["https://openalex.org/I4210099759"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059825662","display_name":"Guojian Shao","orcid":"https://orcid.org/0000-0003-3433-2946","observed_orcids":["https://orcid.org/0000-0003-3433-2946"]},"institutions":[{"id":"https://openalex.org/I4210099759","display_name":"Wenzhou Central Hospital","ror":"https://ror.org/00w5h0n54","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210099759"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guojian Shao","raw_affiliation_strings":["Department of Nephrology, Wenzhou Central Hospital, Wenzhou, 325000 Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0003-3433-2946","affiliations":[{"raw_affiliation_string":"Department of Nephrology, Wenzhou Central Hospital, Wenzhou, 325000 Zhejiang, China","institution_ids":["https://openalex.org/I4210099759"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122385532","display_name":"Renban Wang","orcid":"https://orcid.org/0000-0003-3801-497X","observed_orcids":["https://orcid.org/0000-0003-3801-497X"]},"institutions":[{"id":"https://openalex.org/I4210099759","display_name":"Wenzhou Central Hospital","ror":"https://ror.org/00w5h0n54","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210099759"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renban Wang","raw_affiliation_strings":["Department of Nephrology, Wenzhou Central Hospital, Wenzhou, 325000 Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0003-3801-497X","affiliations":[{"raw_affiliation_string":"Department of Nephrology, Wenzhou Central Hospital, Wenzhou, 325000 Zhejiang, China","institution_ids":["https://openalex.org/I4210099759"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023277311","display_name":"Zhoutao Xie","orcid":"https://orcid.org/0000-0002-4049-7272","observed_orcids":["https://orcid.org/0000-0002-4049-7272"]},"institutions":[{"id":"https://openalex.org/I4210099759","display_name":"Wenzhou Central Hospital","ror":"https://ror.org/00w5h0n54","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210099759"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhoutao Xie","raw_affiliation_strings":["Department of Nephrology, Wenzhou Central Hospital, Wenzhou, 325000 Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-4049-7272","affiliations":[{"raw_affiliation_string":"Department of Nephrology, Wenzhou Central Hospital, Wenzhou, 325000 Zhejiang, China","institution_ids":["https://openalex.org/I4210099759"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5054382058"],"corresponding_institution_ids":["https://openalex.org/I4210099759"],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":0.208,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.36747,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.8974999785423279,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.8974999785423279,"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"}},{"id":"https://openalex.org/T10408","display_name":"Chronic Kidney Disease and Diabetes","score":0.05550000071525574,"subfield":{"id":"https://openalex.org/subfields/2727","display_name":"Nephrology"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.02500000037252903,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/diabetic-nephropathy","display_name":"diabetic nephropathy","score":0.996999979019165},{"id":"https://openalex.org/keywords/bold-mri","display_name":"BOLD MRI","score":0.8130000233650208},{"id":"https://openalex.org/keywords/prognosis","display_name":"prognosis","score":0.5669999718666077},{"id":"https://openalex.org/keywords/fuzzy-c-means-clustering","display_name":"fuzzy c-means clustering","score":0.8550000190734863},{"id":"https://openalex.org/keywords/kernel-fuzzy-c-means-clustering","display_name":"kernel fuzzy c-means","score":0.8650000095367432},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"image segmentation","score":0.765999972820282},{"id":"https://openalex.org/keywords/r2-relaxation","display_name":"R2* relaxation","score":0.7200000286102295},{"id":"https://openalex.org/keywords/renal-cortex","display_name":"renal cortex","score":0.597000002861023},{"id":"https://openalex.org/keywords/renal-medulla","display_name":"renal medulla","score":0.984000027179718},{"id":"https://openalex.org/keywords/estimated-glomerular-filtration-rate","display_name":"estimated glomerular filtration rate","score":0.8889999985694885},{"id":"https://openalex.org/keywords/hemoglobin","display_name":"hemoglobin","score":0.6230000257492065},{"id":"https://openalex.org/keywords/renal-function","display_name":"renal function","score":0.5720000267028809}],"concepts":[{"id":"https://openalex.org/C2779922275","wikidata":"https://www.wikidata.org/wiki/Q1129105","display_name":"Diabetic nephropathy","level":3,"score":0.5970332622528076},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5799164772033691},{"id":"https://openalex.org/C159641895","wikidata":"https://www.wikidata.org/wiki/Q108377937","display_name":"Renal function","level":2,"score":0.5707706212997437},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5422263145446777},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5117154121398926},{"id":"https://openalex.org/C2778577996","wikidata":"https://www.wikidata.org/wiki/Q2307492","display_name":"Renal cortex","level":3,"score":0.4563828110694885},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.44860202074050903},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4399165213108063},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.4341225028038025},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.4251909852027893},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4234412908554077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4019917845726013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3712020516395569},{"id":"https://openalex.org/C2780091579","wikidata":"https://www.wikidata.org/wiki/Q9377","display_name":"Kidney","level":2,"score":0.3299611806869507},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2260565161705017},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.15412327647209167},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11317130923271179},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07955682277679443}],"mesh":[{"descriptor_ui":"D000089382","descriptor_name":"Oxygen Saturation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003928","descriptor_name":"Diabetic Nephropathies","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"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":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010100","descriptor_name":"Oxygen","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1155/2022/5700249","doi":"https://doi.org/10.1155/2022/5700249","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/5700249","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2022/5700249.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},{"id":"pmid:35860185","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35860185","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,"listed_in":[],"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":"Computational and mathematical methods in medicine","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9293502","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9293502/","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,"listed_in":[],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Comput Math Methods Med","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2022/5700249","doi":"https://doi.org/10.1155/2022/5700249","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/5700249","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2022/5700249.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.98580002784729}],"study_designs":[{"id":"https://openalex.org/study-designs/observational-study","display_name":"Observational Study"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320336825","display_name":"Basic Research Project of Wenzhou City","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285043545.pdf","grobid_xml":"https://content.openalex.org/works/W4285043545.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1978258537","https://openalex.org/W2053221811","https://openalex.org/W2078959937","https://openalex.org/W2109312341","https://openalex.org/W2187046101","https://openalex.org/W2282110640","https://openalex.org/W2604677138","https://openalex.org/W2734713827","https://openalex.org/W2786524899","https://openalex.org/W2788977763","https://openalex.org/W2789118123","https://openalex.org/W2793792974","https://openalex.org/W2801014189","https://openalex.org/W2902035038","https://openalex.org/W2923503954","https://openalex.org/W2952846726","https://openalex.org/W2959498949","https://openalex.org/W2960325384","https://openalex.org/W2963537537","https://openalex.org/W2964522707","https://openalex.org/W2979753404","https://openalex.org/W2983648062","https://openalex.org/W3009809022","https://openalex.org/W3033366394","https://openalex.org/W3037311685","https://openalex.org/W3046750226","https://openalex.org/W3108640169","https://openalex.org/W3114005762","https://openalex.org/W3116360274","https://openalex.org/W3176876041","https://openalex.org/W3197080293","https://openalex.org/W3198217574"],"related_works":["https://openalex.org/W7154951868","https://openalex.org/W2360103177","https://openalex.org/W4412153660","https://openalex.org/W1978258537","https://openalex.org/W4400384796","https://openalex.org/W4366217541","https://openalex.org/W2979753404","https://openalex.org/W3157413679","https://openalex.org/W2078959937","https://openalex.org/W7169761611"],"abstract_inverted_index":{"This":[0],"study":[1,269],"was":[2,60,216,255],"aimed":[3],"to":[4,34,85,203,245],"analyze":[5,86],"the":[6,63,73,87,98,107,121,129,132,163,171,204,211,214,222,225,230,246,251,263,271,295],"correlation":[7,135,172],"between":[8,136,174,213,253],"blood":[9],"oxygen":[10],"level-dependent":[11],"magnetic":[12],"resonance":[13],"imaging":[14],"(BOLD-MRI)":[15],"images":[16,278],"and":[17,39,62,72,102,112,125,159,183,190,197,210,240,250,291],"prognosis":[18,44,164,226,247],"of":[19,46,91,106,120,134,227,248],"patients":[20,47],"with":[21],"diabetic":[22],"nephropathy":[23],"(DN)":[24],"based":[25,66,76],"on":[26,67,77,162,276],"artificial":[27],"intelligence":[28],"(AI)":[29],"segmentation":[30,89,274],"algorithm,":[31],"so":[32],"as":[33,41,43],"provide":[35],"references":[36],"for":[37,83,279],"diagnosis":[38],"treatment":[40],"well":[42],"analysis":[45],"DN.":[48],"In":[49],"this":[50,268],"study,":[51],"a":[52,288,299],"kernel":[53],"function-based":[54],"fuzzy":[55],"C-means":[56],"algorithm":[57,65,75,109,265],"(KFCM)":[58],"model":[59],"proposed,":[61],"FCM":[64,74],"neighborhood":[68],"pixel":[69],"information":[70],"(BCFCM)":[71],"efficiency":[78],"improvement":[79],"(EnFCM)":[80],"were":[81,110,116,165,186,200,242],"introduced":[82],"comparison":[84],"image":[88],"effects":[90,133],"three":[92],"algorithms.":[93],"The":[94,167],"results":[95,168],"showed":[96,169,270],"that":[97,170,262],"partition":[99,103],"coefficient":[100],"(Vpc)":[101],"entropy":[104],"(Vpe)":[105],"KFCM":[108,264],"0.801":[111],"0.602,":[113],"respectively,":[114],"which":[115],"better":[117,300],"than":[118],"those":[119],"traditional":[122],"FCM,":[123],"BCFCM,":[124],"EnFCM":[126],"algorithm.":[127],"At":[128],"same":[130],"time,":[131],"renal":[137,144,151,155,160,184],"cortex":[138,152],"R2":[139,146,285],"\u2217":[140,142,147,149,176,179,196,199,235,238,286],"(RC-R2":[141],"),":[143,150],"medulla":[145,156],"(RM-R2":[148],"D":[153,157],"(RC-D),":[154],"(RM-D)":[158],"function":[161,185],"compared.":[166],"coefficients":[173],"RC-R2":[175,195,234],",":[177,180,236,239],"RM-R2":[178,198,237],"RC-D,":[181],"RM-D":[182],"0.57,":[187],"0.62,":[188],"0.49,":[189],"0.38,":[191],"respectively;":[192],"among":[193],"them,":[194],"negatively":[201],"correlated":[202],"estimated":[205],"glomerular":[206],"filtration":[207],"rate":[208],"(eGFR),":[209],"difference":[212,252],"groups":[215,254],"statistically":[217,256],"significant":[218],"(P":[219,258],"<0.05).":[220,259],"Among":[221],"factors":[223],"affecting":[224],"DN":[228,280],"patients,":[229],"GFR,":[231],"hemoglobin":[232],"(Hb),":[233],"RC-D":[241,296],"all":[243],"related":[244],"DN,":[249],"obvious":[257],"It":[260],"suggested":[261],"proposed":[266],"in":[267,284,294],"relatively":[272],"best":[273],"effect":[275],"BOLD-MRI":[277],"patients;":[281],"an":[282,292],"increase":[283,293],"indicated":[287,298],"poor":[289],"prognosis,":[290],"value":[297],"prognosis.":[301]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2022-07-13T00:00:00"}