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Fractal dimension (df) as a new structural biomarker of clot microstructure in different stages of lung cancer

Laura Broome Orcid Logo, Nia Davies, N. K. Harrison, R. H. K. Morris, S. Noble, Matthew Lawrence, L. A. D'Silva, L. Broome, Rowan Brown Orcid Logo, Karl Hawkins Orcid Logo, Rhodri Williams Orcid Logo, S. Davidson, Adrian Evans Orcid Logo

Thrombosis and Haemostasis, Volume: 114, Issue: 6, Pages: 1251 - 1259

Swansea University Authors: Laura Broome Orcid Logo, Nia Davies, Matthew Lawrence, Rowan Brown Orcid Logo, Karl Hawkins Orcid Logo, Rhodri Williams Orcid Logo, Adrian Evans Orcid Logo

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DOI (Published version): 10.1160/TH15-04-0357

Abstract

Venous thromboembolism (VTE) is common in cancer patients, and is the second commonest cause of death associated with the disease. Patients with chronic inflammation, such as cancer, have been shown to have pathological clot structures with modulated mechanical properties. Fractal dimension (df) is...

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Published in: Thrombosis and Haemostasis
ISSN: 0340-6245
Published: 2015
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URI: https://cronfa.swan.ac.uk/Record/cronfa22970
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Patients with chronic inflammation, such as cancer, have been shown to have pathological clot structures with modulated mechanical properties. Fractal dimension (df) is a new technique which has been shown to act as a marker of the microstructure and mechanical properties of blood clots, and can be performed more readily than current methods such as scanning electron microscopy (SEM). We measured df in 87 consecutive patients with newly diagnosed lung cancer prior to treatment and 47 matched-controls. Mean group values were compared for all patients with lung cancer vs controls and for limited disease vs extensive disease. Results were compared with conventional markers of coagulation, fibrinolysis and SEM images. Significantly higher values of df were observed in lung cancer patients compared with controls and patients with extensive disease had higher values than those with limited disease (p&lt; 0.05), whilst conventional markers failed to distinguish between these groups. The relationship between df of the incipient clot and mature clot microstructure was confirmed by SEM and computational modelling: higher df was associated with highly dense clots formed of smaller fibrin fibres in lung cancer patients compared to controls. This study demonstrates that df is a sensitive technique which quantifies the structure and mechanical properties of blood clots in patients with lung cancer. Our data suggests that df has the potential to identify patients with an abnormal clot micro-structure and greatest VTE risk.</abstract><type>Journal Article</type><journal>Thrombosis and Haemostasis</journal><volume>114</volume><journalNumber>6</journalNumber><paginationStart>1251</paginationStart><paginationEnd>1259</paginationEnd><publisher/><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0340-6245</issnPrint><issnElectronic/><keywords/><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2015</publishedYear><publishedDate>2015-12-31</publishedDate><doi>10.1160/TH15-04-0357</doi><url/><notes/><college>COLLEGE NANME</college><department>Psychology</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HPS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-12-17T11:35:46.6118056</lastEdited><Created>2015-08-26T11:03:19.8052463</Created><path><level id="1">Swansea University Medical School</level><level id="2">Medicine</level></path><authors><author><firstname>Laura</firstname><surname>Broome</surname><orcid>0000-0002-8405-254X</orcid><order>1</order></author><author><firstname>Nia</firstname><surname>Davies</surname><orcid/><order>2</order></author><author><firstname>N. 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spelling 2020-12-17T11:35:46.6118056 v2 22970 2015-08-26 Fractal dimension (df) as a new structural biomarker of clot microstructure in different stages of lung cancer 5109c18f411b3e26761e3f300f2e5f4f 0000-0002-8405-254X Laura Broome Laura Broome true false 977abe5c673627024e4913d034dcbc95 Nia Davies Nia Davies true false 262d0cae7663ded863d6e2de15757f3c Matthew Lawrence Matthew Lawrence true false d7db8d42c476dfa69c15ce06d29bd863 0000-0003-3628-2524 Rowan Brown Rowan Brown true false 77c39404a9a98c6e2283d84815cba053 0000-0003-0174-4151 Karl Hawkins Karl Hawkins true false 642bf793695f412ed932f1ea4d9bc3f1 0000-0002-6912-5288 Rhodri Williams Rhodri Williams true false 21761f6eb805546a561c9f036e85405b 0000-0002-0814-5162 Adrian Evans Adrian Evans true false 2015-08-26 HPS Venous thromboembolism (VTE) is common in cancer patients, and is the second commonest cause of death associated with the disease. Patients with chronic inflammation, such as cancer, have been shown to have pathological clot structures with modulated mechanical properties. Fractal dimension (df) is a new technique which has been shown to act as a marker of the microstructure and mechanical properties of blood clots, and can be performed more readily than current methods such as scanning electron microscopy (SEM). We measured df in 87 consecutive patients with newly diagnosed lung cancer prior to treatment and 47 matched-controls. Mean group values were compared for all patients with lung cancer vs controls and for limited disease vs extensive disease. Results were compared with conventional markers of coagulation, fibrinolysis and SEM images. Significantly higher values of df were observed in lung cancer patients compared with controls and patients with extensive disease had higher values than those with limited disease (p< 0.05), whilst conventional markers failed to distinguish between these groups. The relationship between df of the incipient clot and mature clot microstructure was confirmed by SEM and computational modelling: higher df was associated with highly dense clots formed of smaller fibrin fibres in lung cancer patients compared to controls. This study demonstrates that df is a sensitive technique which quantifies the structure and mechanical properties of blood clots in patients with lung cancer. Our data suggests that df has the potential to identify patients with an abnormal clot micro-structure and greatest VTE risk. Journal Article Thrombosis and Haemostasis 114 6 1251 1259 0340-6245 31 12 2015 2015-12-31 10.1160/TH15-04-0357 COLLEGE NANME Psychology COLLEGE CODE HPS Swansea University 2020-12-17T11:35:46.6118056 2015-08-26T11:03:19.8052463 Swansea University Medical School Medicine Laura Broome 0000-0002-8405-254X 1 Nia Davies 2 N. K. Harrison 3 R. H. K. Morris 4 S. Noble 5 Matthew Lawrence 6 L. A. D'Silva 7 L. Broome 8 Rowan Brown 0000-0003-3628-2524 9 Karl Hawkins 0000-0003-0174-4151 10 Rhodri Williams 0000-0002-6912-5288 11 S. Davidson 12 Adrian Evans 0000-0002-0814-5162 13 0022970-11012016151322.pdf Cancerdfpaperprerefereed.pdf 2016-01-11T15:13:22.4530000 Output 836526 application/pdf Author's Original true 2016-01-11T00:00:00.0000000 true
title Fractal dimension (df) as a new structural biomarker of clot microstructure in different stages of lung cancer
spellingShingle Fractal dimension (df) as a new structural biomarker of clot microstructure in different stages of lung cancer
Laura Broome
Nia Davies
Matthew Lawrence
Rowan Brown
Karl Hawkins
Rhodri Williams
Adrian Evans
title_short Fractal dimension (df) as a new structural biomarker of clot microstructure in different stages of lung cancer
title_full Fractal dimension (df) as a new structural biomarker of clot microstructure in different stages of lung cancer
title_fullStr Fractal dimension (df) as a new structural biomarker of clot microstructure in different stages of lung cancer
title_full_unstemmed Fractal dimension (df) as a new structural biomarker of clot microstructure in different stages of lung cancer
title_sort Fractal dimension (df) as a new structural biomarker of clot microstructure in different stages of lung cancer
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author_id_fullname_str_mv 5109c18f411b3e26761e3f300f2e5f4f_***_Laura Broome
977abe5c673627024e4913d034dcbc95_***_Nia Davies
262d0cae7663ded863d6e2de15757f3c_***_Matthew Lawrence
d7db8d42c476dfa69c15ce06d29bd863_***_Rowan Brown
77c39404a9a98c6e2283d84815cba053_***_Karl Hawkins
642bf793695f412ed932f1ea4d9bc3f1_***_Rhodri Williams
21761f6eb805546a561c9f036e85405b_***_Adrian Evans
author Laura Broome
Nia Davies
Matthew Lawrence
Rowan Brown
Karl Hawkins
Rhodri Williams
Adrian Evans
author2 Laura Broome
Nia Davies
N. K. Harrison
R. H. K. Morris
S. Noble
Matthew Lawrence
L. A. D'Silva
L. Broome
Rowan Brown
Karl Hawkins
Rhodri Williams
S. Davidson
Adrian Evans
format Journal article
container_title Thrombosis and Haemostasis
container_volume 114
container_issue 6
container_start_page 1251
publishDate 2015
institution Swansea University
issn 0340-6245
doi_str_mv 10.1160/TH15-04-0357
college_str Swansea University Medical School
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hierarchy_top_title Swansea University Medical School
hierarchy_parent_id swanseauniversitymedicalschool
hierarchy_parent_title Swansea University Medical School
department_str Medicine{{{_:::_}}}Swansea University Medical School{{{_:::_}}}Medicine
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description Venous thromboembolism (VTE) is common in cancer patients, and is the second commonest cause of death associated with the disease. Patients with chronic inflammation, such as cancer, have been shown to have pathological clot structures with modulated mechanical properties. Fractal dimension (df) is a new technique which has been shown to act as a marker of the microstructure and mechanical properties of blood clots, and can be performed more readily than current methods such as scanning electron microscopy (SEM). We measured df in 87 consecutive patients with newly diagnosed lung cancer prior to treatment and 47 matched-controls. Mean group values were compared for all patients with lung cancer vs controls and for limited disease vs extensive disease. Results were compared with conventional markers of coagulation, fibrinolysis and SEM images. Significantly higher values of df were observed in lung cancer patients compared with controls and patients with extensive disease had higher values than those with limited disease (p< 0.05), whilst conventional markers failed to distinguish between these groups. The relationship between df of the incipient clot and mature clot microstructure was confirmed by SEM and computational modelling: higher df was associated with highly dense clots formed of smaller fibrin fibres in lung cancer patients compared to controls. This study demonstrates that df is a sensitive technique which quantifies the structure and mechanical properties of blood clots in patients with lung cancer. Our data suggests that df has the potential to identify patients with an abnormal clot micro-structure and greatest VTE risk.
published_date 2015-12-31T03:41:03Z
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