Computational Model for Tumor Oxygenation Applied to Clinical Data on Breast Tumor Hemoglobin Concentrations Suggests Vascular Dilatation and Compression
Publication Date
August 22, 2016
Journal
PLOS ONE
Authors
Michael Welter, Thierry Fredrich, Herbert Rinneberg & Heiko Rieger
Volume
11
Issue
8
Pages
e0161267
DOI
https://dx.plos.org/10.1371/journal.pone.0161267
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0161267
Scopus
84984691510
Mendeley
http://www.mendeley.com/research/computational-model-tumor-oxygenation-applied-clinical-data-breast-tumor-hemoglobin-concentrations-s
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Mendeley | Further Information

{"title"=>"Computational model for tumor oxygenation applied to clinical data on breast tumor hemoglobin concentrations suggests vascular dilatation and compression", "type"=>"journal", "authors"=>[{"first_name"=>"Michael", "last_name"=>"Welter", "scopus_author_id"=>"23096646500"}, {"first_name"=>"Thierry", "last_name"=>"Fredrich", "scopus_author_id"=>"57118295900"}, {"first_name"=>"Herbert", "last_name"=>"Rinneberg", "scopus_author_id"=>"7003491459"}, {"first_name"=>"Heiko", "last_name"=>"Rieger", "scopus_author_id"=>"7402522512"}], "year"=>2016, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"611884564", "sgr"=>"84984691510", "issn"=>"19326203", "pmid"=>"27547939", "scopus"=>"2-s2.0-84984691510", "doi"=>"10.1371/journal.pone.0161267", "isbn"=>"10.1371/journal.pone.0161267"}, "id"=>"3d5af41a-9de6-3461-a5d4-4a75b0bf5c14", "abstract"=>"We present a computational model for trans-vascular oxygen transport in synthetic tumor and host tissue blood vessel networks, aiming at qualitatively explaining published data of optical mammography, which were obtained from 87 breast cancer patients. The data generally show average hemoglobin concentration to be higher in tumors versus host tissue whereas average oxy-to total hemoglobin concentration (vascular segment RBC-volume-weighted blood oxygenation) can be above or below normal. Starting from a synthetic arterio-venous initial network the tumor vasculature was generated by processes involving cooption, angiogenesis, and vessel regression. Calculations of spatially resolved blood flow, hematocrit, oxy- and total hemoglobin concentrations, blood and tissue oxygenation were carried out for ninety tumor and associated normal vessel networks starting from various assumed geometries of feeding arteries and draining veins. Spatial heterogeneity in the extra-vascular partial oxygen pressure distribution can be related to various tumor compartments characterized by varying capillary densities and blood flow characteristics. The reported higher average hemoglobin concentration of tumors is explained by growth and dilatation of tumor blood vessels. Even assuming sixfold metabolic rate of oxygen consumption in tumorous versus host tissue, the predicted oxygen hemoglobin concentrations are above normal. Such tumors are likely associated with high tumor blood flow caused by high-caliber blood vessels crossing the tumor volume and hence oxygen supply exceeding oxygen demand. Tumor oxy- to total hemoglobin concentration below normal could only be achieved by reducing tumor vessel radii during growth by a randomly selected factor, simulating compression caused by intra-tumoral solid stress due to proliferation of cells and extracellular matrix. Since compression of blood vessels will impede chemotherapy we conclude that tumors with oxy- to total hemoglobin concentration below normal are less likely to respond to chemotherapy. Such behavior was recently reported for neo-adjuvant chemotherapy of locally advanced breast tumors.", "link"=>"http://www.mendeley.com/research/computational-model-tumor-oxygenation-applied-clinical-data-breast-tumor-hemoglobin-concentrations-s", "reader_count"=>10, "reader_count_by_academic_status"=>{"Researcher"=>1, "Student > Ph. D. Student"=>4, "Student > Master"=>1, "Student > Bachelor"=>2, "Professor"=>2}, "reader_count_by_user_role"=>{"Researcher"=>1, "Student > Ph. D. Student"=>4, "Student > Master"=>1, "Student > Bachelor"=>2, "Professor"=>2}, "reader_count_by_subject_area"=>{"Engineering"=>3, "Nursing and Health Professions"=>1, "Biochemistry, Genetics and Molecular Biology"=>1, "Physics and Astronomy"=>1, "Chemical Engineering"=>2, "Chemistry"=>1, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>3}, "Chemistry"=>{"Chemistry"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Chemical Engineering"=>{"Chemical Engineering"=>2}}, "group_count"=>1}

Scopus | Further Information

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Net::HTTPTooManyRequests

Source
Scopus
Time
2019-09-27 15:08:06 UTC
Target URL
https://api.elsevier.com/content/search/index:SCOPUS?query=DOI(10.1371%2Fjournal.pone.0161267)
Trace

/app/models/concerns/networkable.rb:21:in `get_result'
/app/models/source.rb:165:in `get_data'
/app/models/retrieval_status.rb:47:in `perform_get_data'
/app/jobs/source_job.rb:52:in `block (2 levels) in perform'
/app/jobs/source_job.rb:51:in `block in perform'
/app/jobs/source_job.rb:35:in `each'
/app/jobs/source_job.rb:35:in `perform'