MIQuant – Semi-Automation of Infarct Size Assessment in Models of Cardiac Ischemic Injury
Publication Date
September 30, 2011
Journal
PLOS ONE
Authors
Diana S. Nascimento, Mariana Valente, Tiago Esteves, Maria De Fátima De Pina, et al
Volume
6
Issue
9
Pages
e25045
DOI
https://dx.plos.org/10.1371/journal.pone.0025045
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0025045
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/21980376
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3184116
Europe PMC
http://europepmc.org/abstract/MED/21980376
Web of Science
000295941300016
Scopus
80053583980
Mendeley
http://www.mendeley.com/research/miquant-semiautomation-infarct-size-assessment-models-cardiac-ischemic-injury
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Mendeley | Further Information

{"title"=>"MIQuant - semi-automation of infarct size assessment in models of cardiac ischemic injury", "type"=>"journal", "authors"=>[{"first_name"=>"Diana S.", "last_name"=>"Nascimento", "scopus_author_id"=>"9338332900"}, {"first_name"=>"Mariana", "last_name"=>"Valente", "scopus_author_id"=>"43761807500"}, {"first_name"=>"Tiago", "last_name"=>"Esteves", "scopus_author_id"=>"42261292500"}, {"first_name"=>"Maria", "last_name"=>"de Fátima de Pina", "scopus_author_id"=>"6603038553"}, {"first_name"=>"Joana G.", "last_name"=>"Guedes", "scopus_author_id"=>"54936488700"}, {"first_name"=>"Ana", "last_name"=>"Freire", "scopus_author_id"=>"53982987600"}, {"first_name"=>"Pedro", "last_name"=>"Quelhas", "scopus_author_id"=>"14036028600"}, {"first_name"=>"Perpétua", "last_name"=>"Pinto-do-Ó", "scopus_author_id"=>"57199512557"}], "year"=>2011, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-80053583980", "sgr"=>"80053583980", "issn"=>"19326203", "pmid"=>"21980376", "doi"=>"10.1371/journal.pone.0025045", "pui"=>"362706638"}, "id"=>"3466a933-bc95-34ac-b701-879e7666f8d2", "abstract"=>"BACKGROUND: The cardiac regenerative potential of newly developed therapies is traditionally evaluated in rodent models of surgically induced myocardial ischemia. A generally accepted key parameter for determining the success of the applied therapy is the infarct size. Although regarded as a gold standard method for infarct size estimation in heart ischemia, histological planimetry is time-consuming and highly variable amongst studies. The purpose of this work is to contribute towards the standardization and simplification of infarct size assessment by providing free access to a novel semi-automated software tool. The acronym MIQuant was attributed to this application.\n\nMETHODOLOGY/PRINCIPAL FINDINGS: Mice were subject to permanent coronary artery ligation and the size of chronic infarcts was estimated by area and midline-length methods using manual planimetry and with MIQuant. Repeatability and reproducibility of MIQuant scores were verified. The validation showed high correlation (r(midline length) = 0.981; r(area) = 0.970 ) and agreement (Bland-Altman analysis), free from bias for midline length and negligible bias of 1.21% to 3.72% for area quantification. Further analysis demonstrated that MIQuant reduced by 4.5-fold the time spent on the analysis and, importantly, MIQuant effectiveness is independent of user proficiency. The results indicate that MIQuant can be regarded as a better alternative to manual measurement.\n\nCONCLUSIONS: We conclude that MIQuant is a reliable and an easy-to-use software for infarct size quantification. The widespread use of MIQuant will contribute towards the standardization of infarct size assessment across studies and, therefore, to the systematization of the evaluation of cardiac regenerative potential of emerging therapies.", "link"=>"http://www.mendeley.com/research/miquant-semiautomation-infarct-size-assessment-models-cardiac-ischemic-injury", "reader_count"=>10, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Researcher"=>5, "Student > Doctoral Student"=>2, "Student > Master"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Researcher"=>5, "Student > Doctoral Student"=>2, "Student > Master"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Biochemistry, Genetics and Molecular Biology"=>2, "Materials Science"=>1, "Agricultural and Biological Sciences"=>3, "Medicine and Dentistry"=>1, "Psychology"=>1}, "reader_count_by_subdiscipline"=>{"Materials Science"=>{"Materials Science"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Psychology"=>{"Psychology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}, "Unspecified"=>{"Unspecified"=>2}}, "group_count"=>0}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/729028"], "description"=>"<p>(A) Consistency of manual and <i>MIQuant</i> infarct size results obtained using the area and midline length measurements. Hearts were harvested at 21 days post-surgery and infarct size determinations are the mean value of 12 cross-sections representative of the LV. Mann-Whitney statistical analysis demonstrated significant differences between the area and midline length methods, as already described by Takagawa <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0025045#pone.0025045-Takagawa1\" target=\"_blank\">[10]</a>. (B) Reproducibility of <i>MIQuant</i> measurements. Although ANOVA demonstrated no significant influence of the observer on the LV infarct size scores obtained, neither manually nor using <i>MIQuant</i>, the latter displays a tendency for lower discrepancy between operators. ⋄ indicates the mean value of each group. * <i>p</i><0.05.</p>", "links"=>[], "tags"=>["reproducibility", "infarct"], "article_id"=>399381, "categories"=>["Physiology", "Biological Sciences", "Developmental Biology"], "users"=>["Diana S. Nascimento", "Mariana Valente", "Tiago Esteves", "Maria de Fátima de Pina", "Joana G. Guedes", "Ana Freire", "Pedro Quelhas", "Perpétua Pinto-do-Ó"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0025045.g002", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Consistency_and_reproducibility_of_MIQuant_infarct_size_calculation_/399381", "title"=>"Consistency and reproducibility of <i>MIQuant infarct size calculation</i>.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 14:11:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/729420"], "description"=>"<p>Values area mean ± STDEV; <i>n</i> = 20; <sup>1, a</sup><b><i>Per</i></b><b> LV</b>: Wilks'Lambda = 0.818, F(2, 18) = 2.0001, p = 0.164, multivariate partial eta squared = 0.18; <b><i>Per</i></b><b> section</b>: Wilks'Lambda = 0.990, F(2, 234) = 2.0001, p = 0.140, multivariate partial eta squared = 0.322; <sup>1, b</sup><b><i>Per</i></b><b> LV</b>: Wilks'Lambda = 0.757, F(2, 18) = 2.892, p = 0.081, multivariate partial eta squared = 0.24; <b><i>Per</i></b><b> section</b>: Wilks'Lambda = 0.977, F(2, 234) = 2.734, p = 0.067, multivariate partial eta squared = 0.023; <sup>2, a</sup><b><i>Per</i></b><b> LV</b>: Wilks'Lambda = 0.848, F(2, 18) = 1.617, p = 0.226, multivariate partial eta squared = 0.15; <b><i>Per</i></b><b> section</b>: Wilks'Lambda = 0.969, F(2, 234) = 3.737, p = 0.025, multivariate partial eta squared = 0.031; <sup>2, b</sup><b><i>Per</i></b><b> LV</b>: Wilks'Lambda = 0.827, F(2, 18) = 1.886, p = 0.180, multivariate partial eta squared = 0.17; <b><i>Per</i></b><b> section</b>: Wilks'Lambda = 0.981, F(2, 234) = 2.286, p = 0.104, multivariate partial eta squared = 0.019.</p>", "links"=>[], "tags"=>["repeated", "measures", "one-way"], "article_id"=>399773, "categories"=>["Physiology", "Biological Sciences", "Developmental Biology"], "users"=>["Diana S. Nascimento", "Mariana Valente", "Tiago Esteves", "Maria de Fátima de Pina", "Joana G. Guedes", "Ana Freire", "Pedro Quelhas", "Perpétua Pinto-do-Ó"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0025045.t001", "stats"=>{"downloads"=>3, "page_views"=>19, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Repeatability_analysis_of_the_manual_and_MIQuant_results_by_repeated_measures_one_way_ANOVA_/399773", "title"=>"Repeatability analysis of the manual and <i>MIQuant</i> results by repeated measures one-way ANOVA.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 14:13:46"}
  • {"files"=>["https://ndownloader.figshare.com/files/728882"], "description"=>"<p>(A) LV representative MT stained sections, numbered from the apex to the LV base, were obtained from an infarcted heart harvested at 21 days post-surgery. (B) Histological infarct size calculation by the area method requires manual tracing of the LV myocardium (light gray) and of the scarred LV tissue (black). The infarct size, expressed as a percentage, is the division of the infarct area by the LV area multiplied by 100. For the midline length approach (right) the midline, herein defined as the mid-region between the epicardial and endocardial surfaces, of the total LV (dashed line) and of scarred region (full line) are manually traced. The infarct size, expressed as a percentage, is the division of the infarct midline length by the LV midline length multiplied by 100. The total LV infarct extent is the average of infarct size obtained for the LV representative cross-sections (A). (C) Screen shot of <i>MIQuant</i> layout following infarct size calculation. Multiple images can be uploaded in TIFF or JPEG file-formats and the software calculates the intermediate values of infarct size for each image (bottom right). A total MI size is also generated assuming that the uploaded images were representative sections of the LV. For selection of the scarred myocardium (top right) the software requires the user to double-click in a normal tissue region and in the LV lumen, if applicable, over the uploaded image (top left).</p>", "links"=>[], "tags"=>["semi-automated", "mi"], "article_id"=>399224, "categories"=>["Physiology", "Biological Sciences", "Developmental Biology"], "users"=>["Diana S. Nascimento", "Mariana Valente", "Tiago Esteves", "Maria de Fátima de Pina", "Joana G. Guedes", "Ana Freire", "Pedro Quelhas", "Perpétua Pinto-do-Ó"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0025045.g001", "stats"=>{"downloads"=>1, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Manual_and_MIQuant_semi_automated_calculation_of_MI_size_in_chronic_infarcts_/399224", "title"=>"Manual and <i>MIQuant</i> semi-automated calculation of MI size in chronic infarcts.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 14:10:50"}
  • {"files"=>["https://ndownloader.figshare.com/files/729349"], "description"=>"<p>The time consumption of the infarct size determination <i>per</i> heart (mean value of 12 representative sections of the LV) was compared between the manual and <i>MIQuant</i> approaches. The Δ indicates the mean value of each group. **p<0.01.</p>", "links"=>[], "tags"=>["improves", "time-efficiency", "infarct"], "article_id"=>399702, "categories"=>["Physiology", "Biological Sciences", "Developmental Biology"], "users"=>["Diana S. Nascimento", "Mariana Valente", "Tiago Esteves", "Maria de Fátima de Pina", "Joana G. Guedes", "Ana Freire", "Pedro Quelhas", "Perpétua Pinto-do-Ó"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0025045.g005", "stats"=>{"downloads"=>0, "page_views"=>22, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_MIQuant_improves_the_time_efficiency_of_infarct_size_quantification_/399702", "title"=>"<i>MIQuant</i> improves the time-efficiency of infarct size quantification.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 14:13:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/729280"], "description"=>"<p><i>MIQuant</i> infarct size values obtained by competent (<i>experts</i>) and non-trained (<i>volunteer</i>) users were compared and the mean values are displayed as graph bars. Independent-samples <i>t</i>-test showed no significant differences between infarct scores calculated by the <i>experts vs. volunteers</i>; furthermore, a two–way ANOVA demonstrated no significant influence of the user on the obtained infarct size value.</p>", "links"=>[], "tags"=>["efficacy", "affected"], "article_id"=>399635, "categories"=>["Physiology", "Biological Sciences", "Developmental Biology"], "users"=>["Diana S. Nascimento", "Mariana Valente", "Tiago Esteves", "Maria de Fátima de Pina", "Joana G. Guedes", "Ana Freire", "Pedro Quelhas", "Perpétua Pinto-do-Ó"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0025045.g004", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_MIQuant_efficacy_is_not_affected_by_user_proficiency_/399635", "title"=>"<i>MIQuant</i> efficacy is not affected by user proficiency.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 14:13:01"}
  • {"files"=>["https://ndownloader.figshare.com/files/729136"], "description"=>"<p>(A) Infarct size scatter diagram and the Pearson coefficient demonstrated strong association between manual and <i>MIQuant</i> results for area (<i>right</i>) and midline length (<i>left</i>) approaches. (B) Bland-Altman concordance analysis of the manual and <i>MIQuant</i> infarct size measurements demonstrated acceptable limits of agreement between methods. Average values of the three independent measures of infarct size <i>per</i> section (B) and <i>per</i> heart (C) were subject to the analysis. Differences between the infarct sizes retrieved by each method (<i>MIQuant</i>-manual) are displayed in the <i>y</i>-axis and the mean infarct size values are plotted in the <i>x</i>-axis. The limits of agreement (- -) and bias (▪▪▪) and respective 95% confidence intervals ([ ]) are shown.</p>", "links"=>[], "tags"=>["infarct"], "article_id"=>399487, "categories"=>["Physiology", "Biological Sciences", "Developmental Biology"], "users"=>["Diana S. Nascimento", "Mariana Valente", "Tiago Esteves", "Maria de Fátima de Pina", "Joana G. Guedes", "Ana Freire", "Pedro Quelhas", "Perpétua Pinto-do-Ó"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0025045.g003", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Validation_of_MIQuant_for_infarct_size_assessment_/399487", "title"=>"Validation of <i>MIQuant</i> for infarct size assessment.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 14:12:16"}

PMC Usage Stats | Further Information

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Relative Metric

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