{"id":14021,"date":"2023-10-05T17:33:53","date_gmt":"2023-10-05T15:33:53","guid":{"rendered":"https:\/\/sano.science\/?post_type=research&p=14021"},"modified":"2024-01-05T13:37:13","modified_gmt":"2024-01-05T12:37:13","slug":"deep-learning-for-noninvasive-pulmonary-hypertension-diagnosis","status":"publish","type":"research","link":"https:\/\/sano.science\/research\/deep-learning-for-noninvasive-pulmonary-hypertension-diagnosis\/","title":{"rendered":"Deep Learning for Noninvasive Pulmonary Hypertension Diagnosis\u00a0"},"content":{"rendered":"\n

Micha\u0142 Grzeszczyk<\/h2>\n\n\n\n
<\/div>\n\n\n\n

Pulmonary Hypertension (PH) is a condition with a complex etiology that affects approximately 1% of adults and can progress undetected for many years. If untreated it leads to significant morbidity and mortality. The gold standard for PH diagnosis is an invasive Right Heart Catheterization (RHC) that directly measures the mean Pulmonary Artery Pressure (mPAP). RHC is an invasive procedure that carries risks, requires patient preparation, trained staff, highly specialized equipment, it is expensive and time-consuming. It has to be performed at a specialized facility to lower the probability of complications. In this context, the development of a non-invasive, accurate, and reliable technique for mPAP measurement could revolutionize the field, significantly enhancing the quality of life for individuals affected by PH.<\/p>\n\n\n\n

<\/div>\n\n\n
\n
\"\"<\/figure>\n<\/div>\n\n\n
<\/div>\n\n\n\n

Figure:<\/strong> The gold standard for mPAP measurement is the invasive RHC (a)1<\/sup>. Our goal is to noninvasively estimate mPAP using deep learning and MRI (b)2<\/sup>.<\/p>\n\n\n\n

1<\/sup>source: https:\/\/www.stanfordchildrens.org\/en\/topic\/default?id=right-heart-catheterization-135-40<\/a><\/p>\n\n\n\n

2<\/sup>source: https:\/\/www.mhvi.com\/cardiac-mri\/<\/p>\n","protected":false},"excerpt":{"rendered":"

Pulmonary Hypertension (PH) is a condition with a complex etiology that affects approximately 1% of adults and can progress undetected for many years.<\/p>\n","protected":false},"featured_media":0,"template":"","research_type":[7],"research_team":[17],"class_list":["post-14021","research","type-research","status-publish","hentry","research_type-research-topics","research_team-health-informatics-group-higs"],"yoast_head":"\nDeep Learning for Noninvasive Pulmonary Hypertension Diagnosis\u00a0 - Centre for Computational Personalized Medicine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sano.science\/research\/deep-learning-for-noninvasive-pulmonary-hypertension-diagnosis\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Deep Learning for Noninvasive Pulmonary Hypertension Diagnosis\u00a0\" \/>\n<meta property=\"og:description\" content=\"Pulmonary Hypertension (PH) is a condition with a complex etiology that affects approximately 1% of adults and can progress undetected for many years.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/research\/deep-learning-for-noninvasive-pulmonary-hypertension-diagnosis\/\" \/>\n<meta property=\"og:site_name\" content=\"Centre for Computational Personalized Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sano.science\/\" \/>\n<meta property=\"article:modified_time\" content=\"2024-01-05T12:37:13+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu4-1024x325.png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sano.science\\\/research\\\/deep-learning-for-noninvasive-pulmonary-hypertension-diagnosis\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/research\\\/deep-learning-for-noninvasive-pulmonary-hypertension-diagnosis\\\/\",\"name\":\"Deep Learning for Noninvasive Pulmonary Hypertension Diagnosis\u00a0 - 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If untreated it leads to significant morbidity and mortality. The gold standard for PH diagnosis is an invasive Right Heart Catheterization (RHC) that directly measures the mean Pulmonary Artery Pressure (mPAP). RHC is an invasive procedure that carries risks, requires patient preparation, trained staff, highly specialized equipment, it is expensive and time-consuming. It has to be performed at a specialized facility to lower the probability of complications. In this context, the development of a non-invasive, accurate, and reliable technique for mPAP measurement could revolutionize the field, significantly enhancing the quality of life for individuals affected by PH.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Pulmonary Hypertension (PH) is a condition with a complex etiology that affects approximately 1% of adults and can progress undetected for many years. If untreated it leads to significant morbidity and mortality. The gold standard for PH diagnosis is an invasive Right Heart Catheterization (RHC) that directly measures the mean Pulmonary Artery Pressure (mPAP). RHC is an invasive procedure that carries risks, requires patient preparation, trained staff, highly specialized equipment, it is expensive and time-consuming. It has to be performed at a specialized facility to lower the probability of complications. In this context, the development of a non-invasive, accurate, and reliable technique for mPAP measurement could revolutionize the field, significantly enhancing the quality of life for individuals affected by PH.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-rgceEa","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/image","attrs":{"align":"center","id":14023,"sizeSlug":"large","linkDestination":"none","epAnimationGeneratedClass":"edplus_anim-V8jVxb","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<figure class=\"wp-block-image aligncenter size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu4-1024x325.png\" alt=\"\" class=\"wp-image-14023\"\/><\/figure>\n","innerContent":["\n<figure class=\"wp-block-image aligncenter size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu4-1024x325.png\" alt=\"\" class=\"wp-image-14023\"\/><\/figure>\n"]},{"blockName":"core\/spacer","attrs":{"height":"10px","epAnimationGeneratedClass":"edplus_anim-UzOEDC","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-CQdvcT","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Figure:<\/strong> The gold standard for mPAP measurement is the invasive RHC (a)<sup>1<\/sup>. Our goal is to noninvasively estimate mPAP using deep learning and MRI (b)<sup>2<\/sup>.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Figure:<\/strong> The gold standard for mPAP measurement is the invasive RHC (a)<sup>1<\/sup>. Our goal is to noninvasively estimate mPAP using deep learning and MRI (b)<sup>2<\/sup>.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-I4RrJv","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><sup>1<\/sup>source: <a href=\"https:\/\/www.stanfordchildrens.org\/en\/topic\/default?id=right-heart-catheterization-135-40\">https:\/\/www.stanfordchildrens.org\/en\/topic\/default?id=right-heart-catheterization-135-40<\/a><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><sup>1<\/sup>source: <a href=\"https:\/\/www.stanfordchildrens.org\/en\/topic\/default?id=right-heart-catheterization-135-40\">https:\/\/www.stanfordchildrens.org\/en\/topic\/default?id=right-heart-catheterization-135-40<\/a><\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-L8fNBJ","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><sup>2<\/sup>source: https:\/\/www.mhvi.com\/cardiac-mri\/<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><sup>2<\/sup>source: https:\/\/www.mhvi.com\/cardiac-mri\/<\/p>\n"]}],"meta_data":{"is_automatically_other_posts":true,"number_of_posts":"3","is_automatically_check_also_posts":true},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/14021","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/research"}],"version-history":[{"count":5,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/14021\/revisions"}],"predecessor-version":[{"id":14667,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/14021\/revisions\/14667"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=14021"}],"wp:term":[{"taxonomy":"research_type","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research_type?post=14021"},{"taxonomy":"research_team","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research_team?post=14021"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}