FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4318928320> ?p ?o ?g. }

• W4318928320 endingPage "354" @default.
• W4318928320 startingPage "346" @default.
• W4318928320 abstract "Objectives The UK Biobank (UKBB) and German National Cohort (NAKO) are among the largest cohort studies, capturing a wide range of health-related data from the general population, including comprehensive magnetic resonance imaging (MRI) examinations. The purpose of this study was to demonstrate how MRI data from these large-scale studies can be jointly analyzed and to derive comprehensive quantitative image-based phenotypes across the general adult population. Materials and Methods Image-derived features of abdominal organs (volumes of liver, spleen, kidneys, and pancreas; volumes of kidney hilum adipose tissue; and fat fractions of liver and pancreas) were extracted from T1-weighted Dixon MRI data of 17,996 participants of UKBB and NAKO based on quality-controlled deep learning generated organ segmentations. To enable valid cross-study analysis, we first analyzed the data generating process using methods of causal discovery. We subsequently harmonized data from UKBB and NAKO using the ComBat approach for batch effect correction. We finally performed quantile regression on harmonized data across studies providing quantitative models for the variation of image-derived features stratified for sex and dependent on age, height, and weight. Results Data from 8791 UKBB participants (49.9% female; age, 63 ± 7.5 years) and 9205 NAKO participants (49.1% female, age: 51.8 ± 11.4 years) were analyzed. Analysis of the data generating process revealed direct effects of age, sex, height, weight, and the data source (UKBB vs NAKO) on image-derived features. Correction of data source-related effects resulted in markedly improved alignment of image-derived features between UKBB and NAKO. Cross-study analysis on harmonized data revealed comprehensive quantitative models for the phenotypic variation of abdominal organs across the general adult population. Conclusions Cross-study analysis of MRI data from UKBB and NAKO as proposed in this work can be helpful for future joint data analyses across cohorts linking genetic, environmental, and behavioral risk factors to MRI-derived phenotypes and provide reference values for clinical diagnostics." @default.
• W4318928320 created "2023-02-03" @default.
• W4318928320 creator A5000690414 @default.
• W4318928320 creator A5006461848 @default.
• W4318928320 creator A5007222325 @default.
• W4318928320 creator A5011709769 @default.
• W4318928320 creator A5013597740 @default.
• W4318928320 creator A5017366213 @default.
• W4318928320 creator A5021850789 @default.
• W4318928320 creator A5027711194 @default.
• W4318928320 creator A5032266841 @default.
• W4318928320 creator A5037195697 @default.
• W4318928320 creator A5038699709 @default.
• W4318928320 creator A5038862460 @default.
• W4318928320 creator A5039047238 @default.
• W4318928320 creator A5040664403 @default.
• W4318928320 creator A5042330192 @default.
• W4318928320 creator A5044005697 @default.
• W4318928320 creator A5047087649 @default.
• W4318928320 creator A5047348776 @default.
• W4318928320 creator A5054810398 @default.
• W4318928320 creator A5059823739 @default.
• W4318928320 creator A5060584500 @default.
• W4318928320 creator A5071544435 @default.
• W4318928320 creator A5075527220 @default.
• W4318928320 creator A5080097591 @default.
• W4318928320 creator A5080735824 @default.
• W4318928320 date "2022-12-16" @default.
• W4318928320 modified "2023-10-16" @default.
• W4318928320 title "Better Together" @default.
• W4318928320 cites W1886081582 @default.
• W4318928320 cites W2033033020 @default.
• W4318928320 cites W2088712214 @default.
• W4318928320 cites W2103139789 @default.
• W4318928320 cites W2107665951 @default.
• W4318928320 cites W2116948892 @default.
• W4318928320 cites W2120973488 @default.
• W4318928320 cites W2140960843 @default.
• W4318928320 cites W2141202032 @default.
• W4318928320 cites W2170585273 @default.
• W4318928320 cites W2192384092 @default.
• W4318928320 cites W2206789629 @default.
• W4318928320 cites W2225072005 @default.
• W4318928320 cites W2512242603 @default.
• W4318928320 cites W2616275380 @default.
• W4318928320 cites W2793277385 @default.
• W4318928320 cites W2889553968 @default.
• W4318928320 cites W2948579453 @default.
• W4318928320 cites W2965113385 @default.
• W4318928320 cites W3006047402 @default.
• W4318928320 cites W3008043783 @default.
• W4318928320 cites W3013522077 @default.
• W4318928320 cites W3038062368 @default.
• W4318928320 cites W3038220767 @default.
• W4318928320 cites W3044971416 @default.
• W4318928320 cites W3109184763 @default.
• W4318928320 cites W3112701542 @default.
• W4318928320 cites W3125213214 @default.
• W4318928320 cites W4200483555 @default.
• W4318928320 cites W4213233464 @default.
• W4318928320 cites W4221072223 @default.
• W4318928320 cites W4308212273 @default.
• W4318928320 doi "https://doi.org/10.1097/rli.0000000000000941" @default.
• W4318928320 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36729536" @default.
• W4318928320 hasPublicationYear "2022" @default.
• W4318928320 type Work @default.
• W4318928320 citedByCount "1" @default.
• W4318928320 countsByYear W43189283202023 @default.
• W4318928320 crossrefType "journal-article" @default.
• W4318928320 hasAuthorship W4318928320A5000690414 @default.
• W4318928320 hasAuthorship W4318928320A5006461848 @default.
• W4318928320 hasAuthorship W4318928320A5007222325 @default.
• W4318928320 hasAuthorship W4318928320A5011709769 @default.
• W4318928320 hasAuthorship W4318928320A5013597740 @default.
• W4318928320 hasAuthorship W4318928320A5017366213 @default.
• W4318928320 hasAuthorship W4318928320A5021850789 @default.
• W4318928320 hasAuthorship W4318928320A5027711194 @default.
• W4318928320 hasAuthorship W4318928320A5032266841 @default.
• W4318928320 hasAuthorship W4318928320A5037195697 @default.
• W4318928320 hasAuthorship W4318928320A5038699709 @default.
• W4318928320 hasAuthorship W4318928320A5038862460 @default.
• W4318928320 hasAuthorship W4318928320A5039047238 @default.
• W4318928320 hasAuthorship W4318928320A5040664403 @default.
• W4318928320 hasAuthorship W4318928320A5042330192 @default.
• W4318928320 hasAuthorship W4318928320A5044005697 @default.
• W4318928320 hasAuthorship W4318928320A5047087649 @default.
• W4318928320 hasAuthorship W4318928320A5047348776 @default.
• W4318928320 hasAuthorship W4318928320A5054810398 @default.
• W4318928320 hasAuthorship W4318928320A5059823739 @default.
• W4318928320 hasAuthorship W4318928320A5060584500 @default.
• W4318928320 hasAuthorship W4318928320A5071544435 @default.
• W4318928320 hasAuthorship W4318928320A5075527220 @default.
• W4318928320 hasAuthorship W4318928320A5080097591 @default.
• W4318928320 hasAuthorship W4318928320A5080735824 @default.
• W4318928320 hasBestOaLocation W43189283201 @default.
• W4318928320 hasConcept C105795698 @default.
• W4318928320 hasConcept C116567970 @default.
• W4318928320 hasConcept C126838900 @default.

• next