{"doi":"10.2215/cjn.08660621","title":"Volume Progression and Imaging Classification of Polycystic Liver in Early Autosomal Dominant Polycystic Kidney Disease","abstract":"<jats:sec>\n                    <jats:title>Background and objectives</jats:title>\n                    <jats:p>The progression of polycystic liver disease is not well understood. The purpose of the study is to evaluate the associations of polycystic liver progression with other disease progression variables and classify liver progression on the basis of patient's age, height-adjusted liver cystic volume, and height-adjusted liver volume.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Design, setting, participants, &amp; measurements</jats:title>\n                    <jats:p>Prospective longitudinal magnetic resonance images from 670 patients with early autosomal dominant polycystic kidney disease for up to 14 years of follow-up were evaluated to measure height-adjusted liver cystic volume and height-adjusted liver volume. Among them, 245 patients with liver cyst volume &gt;50 ml at baseline were included in the longitudinal analysis. Linear mixed models on log-transformed height-adjusted liver cystic volume and height-adjusted liver volume were fitted to approximate mean annual rate of change for each outcome. The association of sex, body mass index, genotype, baseline height-adjusted total kidney volume, and Mayo imaging class was assessed. We calculated height-adjusted liver cystic volume ranges for each specific age and divided them into five classes on the basis of annual percentage increase in height-adjusted liver cystic volume.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Results</jats:title>\n                    <jats:p>\n                      The mean annual growth rate of height-adjusted liver cystic volume was 12% (95% confidence interval, 11.1% to 13.1%;\n                      <jats:italic toggle=\"yes\">P</jats:italic>\n                      &lt;0.001), whereas that for height-adjusted liver volume was 2% (95% confidence interval, 1.9% to 2.6%;\n                      <jats:italic toggle=\"yes\">P</jats:italic>\n                      &lt;0.001). Women had higher baseline height-adjusted liver cystic volume than men, but men had higher height-adjusted liver cystic volume growth rate than women by 2% (95% confidence interval, 0.4% to 4.5%;\n                      <jats:italic toggle=\"yes\">P</jats:italic>\n                      =0.02). Whereas the height-adjusted liver cystic volume growth rate decreased in women after menopause, no decrease was observed in men at any age. Body mass index, genotype, and baseline height-adjusted total kidney volume were not associated with the growth rate of height-adjusted liver cystic volume or height-adjusted liver volume. According to the height-adjusted liver cystic volume growth rate, patients were classified into five classes (number of women, men in each class): A (24, six); B (44, 13); C (43, 48); D (28, 17); and E (13, nine).\n                    </jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions</jats:title>\n                    <jats:p>Compared with height-adjusted liver volume, the use of height-adjusted liver cystic volume showed greater separations in volumetric progression of polycystic liver disease. Similar to the Mayo imaging classification for the kidney, the progression of polycystic liver disease may be categorized on the basis of patient’s age and height-adjusted liver cystic volume.</jats:p>\n                  </jats:sec>","journal":"Clinical Journal of the American Society of Nephrology","year":2022,"id":604611,"datarank":0.8755193034178703,"base_score":3.091042453358316,"endowment":3.091042453358316,"self_citation_contribution":0.4636563680037475,"citation_network_contribution":0.4118629354141228,"self_endowment_contribution":0.4636563680037475,"citer_contribution":0.4118629354141228,"corpus_percentile":null,"corpus_rank":null,"citation_count":21,"citer_count":19,"citers_with_citation_signal":15,"citers_with_endowment":15,"datacite_reuse_total":4,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1099542,"name":"Cheng Tao","orcid":"0000-0002-1149-753X","position":1,"is_corresponding":false},{"id":971371,"name":"Robert Feldman","orcid":"0000-0001-7953-4344","position":2,"is_corresponding":false},{"id":270870,"name":"Alan S.L. Yu","orcid":"0000-0002-1776-2533","position":3,"is_corresponding":false},{"id":232142,"name":"Vicente E. Torres","orcid":"0000-0003-2008-1576","position":4,"is_corresponding":false},{"id":431776,"name":"Ronald D. Perrone","orcid":"0000-0002-4963-1132","position":5,"is_corresponding":false},{"id":441227,"name":"Arlene B. Chapman","orcid":"0000-0002-6030-8694","position":6,"is_corresponding":false},{"id":1016636,"name":"Godela Brosnahan","orcid":"0000-0003-2076-9856","position":7,"is_corresponding":false},{"id":493092,"name":"Theodore I. Steinman","orcid":null,"position":8,"is_corresponding":false},{"id":1551334,"name":"William E. Braun","orcid":null,"position":9,"is_corresponding":false},{"id":305251,"name":"Michal Mrug","orcid":"0000-0001-8981-1843","position":10,"is_corresponding":false},{"id":728466,"name":"William M. Bennett","orcid":"0000-0003-2916-1927","position":11,"is_corresponding":false},{"id":212129,"name":"Peter C. Harris","orcid":null,"position":12,"is_corresponding":false},{"id":773687,"name":"Avantika Srivastava","orcid":"0009-0003-5523-5165","position":13,"is_corresponding":false},{"id":1551343,"name":"Douglas P. Landsittel","orcid":null,"position":14,"is_corresponding":false},{"id":423729,"name":"Kaleab Z. Abebe","orcid":"0000-0002-3644-8419","position":15,"is_corresponding":false},{"id":442689,"name":"Kyongtae T. Bae","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Volume Progression and Imaging Classification of Polycystic Liver in Early Autosomal Dominant Polycystic Kidney Disease","abstract":"<jats:sec>\n                    <jats:title>Background and objectives</jats:title>\n                    <jats:p>The progression of polycystic liver disease is not well understood. The purpose of the study is to evaluate the associations of polycystic liver progression with other disease progression variables and classify liver progression on the basis of patient's age, height-adjusted liver cystic volume, and height-adjusted liver volume.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Design, setting, participants, &amp; measurements</jats:title>\n                    <jats:p>Prospective longitudinal magnetic resonance images from 670 patients with early autosomal dominant polycystic kidney disease for up to 14 years of follow-up were evaluated to measure height-adjusted liver cystic volume and height-adjusted liver volume. Among them, 245 patients with liver cyst volume &gt;50 ml at baseline were included in the longitudinal analysis. Linear mixed models on log-transformed height-adjusted liver cystic volume and height-adjusted liver volume were fitted to approximate mean annual rate of change for each outcome. The association of sex, body mass index, genotype, baseline height-adjusted total kidney volume, and Mayo imaging class was assessed. We calculated height-adjusted liver cystic volume ranges for each specific age and divided them into five classes on the basis of annual percentage increase in height-adjusted liver cystic volume.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Results</jats:title>\n                    <jats:p>\n                      The mean annual growth rate of height-adjusted liver cystic volume was 12% (95% confidence interval, 11.1% to 13.1%;\n                      <jats:italic toggle=\"yes\">P</jats:italic>\n                      &lt;0.001), whereas that for height-adjusted liver volume was 2% (95% confidence interval, 1.9% to 2.6%;\n                      <jats:italic toggle=\"yes\">P</jats:italic>\n                      &lt;0.001). Women had higher baseline height-adjusted liver cystic volume than men, but men had higher height-adjusted liver cystic volume growth rate than women by 2% (95% confidence interval, 0.4% to 4.5%;\n                      <jats:italic toggle=\"yes\">P</jats:italic>\n                      =0.02). Whereas the height-adjusted liver cystic volume growth rate decreased in women after menopause, no decrease was observed in men at any age. Body mass index, genotype, and baseline height-adjusted total kidney volume were not associated with the growth rate of height-adjusted liver cystic volume or height-adjusted liver volume. According to the height-adjusted liver cystic volume growth rate, patients were classified into five classes (number of women, men in each class): A (24, six); B (44, 13); C (43, 48); D (28, 17); and E (13, nine).\n                    </jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions</jats:title>\n                    <jats:p>Compared with height-adjusted liver volume, the use of height-adjusted liver cystic volume showed greater separations in volumetric progression of polycystic liver disease. Similar to the Mayo imaging classification for the kidney, the progression of polycystic liver disease may be categorized on the basis of patient’s age and height-adjusted liver cystic volume.</jats:p>\n                  </jats:sec>","is_dataset_classified":null,"base_score":3.091042453358316,"endowment":3.091042453358316,"datacite_reuse_total":4,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"35217526","pmcid":"PMC8975034","openalex_id":"https://openalex.org/W4214521930","authors":[],"funders":[{"funder_name":"Mayo Translational PKD Center","grant_id":"DK090728","title":null},{"funder_name":"National Center for Advancing Translational Sciences","grant_id":"RR025008","title":null},{"funder_name":"National Center for Advancing Translational Sciences","grant_id":"TR000454","title":null},{"funder_name":"University of Pittsburgh School of Medicine","grant_id":"RR024153","title":null},{"funder_name":"University of Pittsburgh School 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DK113111","title":null},{"funder_name":"Kansas University Medical Center","grant_id":"RR033179","title":null},{"funder_name":"Kansas University Medical Center","grant_id":"RR23940","title":null},{"funder_name":"Kansas University Medical Center","grant_id":"TR000001","title":null},{"funder_name":"National Center for Research Resources","grant_id":"RR000039","title":null},{"funder_name":"PKD","grant_id":"DK106912","title":null},{"funder_name":"Mayo College of Medicine","grant_id":"RR00585","title":null},{"funder_name":"Mayo College of Medicine","grant_id":"RR024150","title":null},{"funder_name":"Mayo College of Medicine","grant_id":"TR000135","title":null},{"funder_name":"NCATS NIH HHS","grant_id":"UL1 TR000135","title":null},{"funder_name":"NIGMS NIH HHS","grant_id":"P20 GM130423","title":null},{"funder_name":"NCRR NIH HHS","grant_id":"UL1 RR024153","title":null},{"funder_name":"NCRR NIH HHS","grant_id":"M01 RR000039","title":null},{"funder_name":"NIDDK NIH HHS","grant_id":"U01 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TR000165","title":null},{"funder_name":"NCATS NIH HHS","grant_id":"UL1 TR000454","title":null},{"funder_name":"NCRR NIH HHS","grant_id":"M01 RR000032","title":null},{"funder_name":"NCRR NIH HHS","grant_id":"UL1 RR025008","title":null},{"funder_name":"Emory University","grant_id":"","title":null}],"total_grants":45,"fwci":3.5296,"citation_percentile":0.93176089,"influential_citations":0,"citation_trend":[{"year":2023,"count":8},{"year":2024,"count":4},{"year":2025,"count":7},{"year":2026,"count":2}],"oa_status":"green","license":null,"oa_locations":[{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8975034","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8975034","host_type":"repository"},{"url":"https://journals.lww.com/10.2215/CJN.08660621","host_type":"publisher"},{"url":"https://doi.org/10.2215/cjn.08660621","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/35217526","host_type":"repository"}],"fields_of_study":["Genetic and Kidney Cyst 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