{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T03:42:26Z","timestamp":1792640546026,"version":"4.5.0"},"reference-count":49,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"7","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2019,4,2]]},"abstract":"<jats:sec xml:lang=\"en\">\n            <jats:title>Background<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              Microcirculation is a decisive factor in tissue reperfusion inadequacy following myocardial infarction (\n              <jats:styled-content style=\"fixed-case\">MI<\/jats:styled-content>\n              ). Nonetheless, experimental assessment of blood flow in microcirculation remains a bottleneck. We sought to model blood flow properties in coronary microcirculation at different time points after\n              <jats:styled-content style=\"fixed-case\">MI<\/jats:styled-content>\n              and to compare them with healthy conditions to obtain insights into alterations in cardiac tissue perfusion.\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Methods and Results<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              We developed an image\u2010based modeling framework that permitted feeding a continuum flow model with anatomical data previously obtained from the pig coronary microvasculature to calculate physiologically meaningful permeability tensors. The tensors encompassed the microvascular conductivity and were also used to estimate the arteriole\u2013venule drop in pressure and myocardial blood flow. Our results indicate that the tensors increased in a bimodal pattern at infarcted areas on days 1 and 7 after\n              <jats:styled-content style=\"fixed-case\">MI<\/jats:styled-content>\n              while a nonphysiological decrease in arteriole\u2013venule drop in pressure was observed; contrary, the tensors and the arteriole\u2013venule drop in pressure on day 3 after\n              <jats:styled-content style=\"fixed-case\">MI<\/jats:styled-content>\n              , and in remote areas, were closer to values for healthy tissue. Myocardial blood flow calculated using the condition\u2010dependent arteriole\u2013venule drop in pressure decreased in infarcted areas. Last, we simulated specific modes of vascular remodeling, such as vasodilation, vasoconstriction, or pruning, and quantified their distinct impact on microvascular conductivity.\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              Our study unravels time\u2010 and region\u2010dependent alterations of tissue perfusion related to the structural changes occurring in the coronary microvasculature due to\n              <jats:styled-content style=\"fixed-case\">MI<\/jats:styled-content>\n              . It also paves the way for conducting simulations in new therapeutic interventions in\n              <jats:styled-content style=\"fixed-case\">MI<\/jats:styled-content>\n              and for image\u2010based microvascular modeling by applying continuum flow models in other biomedical scenarios.\n            <\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/jaha.118.011058","type":"journal-article","created":{"date-parts":[[2019,3,22]],"date-time":"2019-03-22T09:00:35Z","timestamp":1553245235000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":15,"title":["Dynamic Changes in Microvascular Flow Conductivity and Perfusion After Myocardial Infarction Shown by Image\u2010Based Modeling"],"prefix":"10.1161","volume":"8","author":[{"given":"Polyxeni","family":"Gkontra","sequence":"first","affiliation":[{"name":"Centro Nacional de Investigaciones Cardiovasculares (CNIC) Madrid Spain"},{"name":"Biomedical Image Technologies (BIT), ETSI Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid Madrid Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wahbi K.","family":"El\u2010Bouri","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Engineering Department of Engineering Science University of Oxford United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kerri\u2010Ann","family":"Norton","sequence":"additional","affiliation":[{"name":"Division of Science, Mathematics, and Computing Bard College Annandale\u2010on\u2010Hudson NY"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andr\u00e9s","family":"Santos","sequence":"additional","affiliation":[{"name":"Biomedical Image Technologies (BIT), ETSI Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid Madrid Spain"},{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red de Bioingenier\u00eda Biomateriales y Nanomedicina (CIBERBBN) Madrid Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aleksander S.","family":"Popel","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering School of Medicine Johns Hopkins University Baltimore MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephen J.","family":"Payne","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Engineering Department of Engineering Science University of Oxford United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alicia G.","family":"Arroyo","sequence":"additional","affiliation":[{"name":"Centro Nacional de Investigaciones Cardiovasculares (CNIC) Madrid Spain"},{"name":"Centro de Investigaciones Biol\u00f3gicas (CIB\u2010CSIC) Madrid Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.fluid.37.042604.133933"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-fluid-010816-060302"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1038\/nrcardio.2009.103"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1080\/10739680500383407"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1152\/ajpheart.00486.2010"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2008.0311"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-19758-4"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1152\/ajpheart.00088.2004"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1002\/wsbm.1309"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1002\/wsbm.1326"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.RES.67.4.826"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.09.032"},{"key":"e_1_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.mvr.2013.12.003"},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1152\/ajpheart.1999.277.6.H2158"},{"key":"e_1_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1152\/ajpheart.00730.2004"},{"key":"e_1_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10439-013-0951-y"},{"key":"e_1_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1038\/jcbfm.2009.58"},{"key":"e_1_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1549-8719.2012.00184.x"},{"key":"e_1_3_1_20_2","first-page":"2341","article-title":"Simulation of microcirculatory hemodynamics: estimation of boundary condition using particle swarm optimization","volume":"24","author":"Pan Q","year":"2014","unstructured":"Pan Q, Wang R, Reglin B, Fang L, Pries AR, Ning G. 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