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Prediction of Malignancy in Breast Tumors Using Diffusion Weighted Magnetic Resonance Imaging
The purpose of this research is to develop a non-invasive predictor of malignancy in breast tumors using novel magnetic resonance imaging (MRI) techniques. The hypothesis is that the spatial distribution of microvasculature around a breast lesion is specific for malignancy and can be reliably measur...
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creator | Gareau, Paul Rutt, Brian K |
description | The purpose of this research is to develop a non-invasive predictor of malignancy in breast tumors using novel magnetic resonance imaging (MRI) techniques. The hypothesis is that the spatial distribution of microvasculature around a breast lesion is specific for malignancy and can be reliably measured by a completely non-invasive MRI method. This hypothesis is being tested by: (1) The design and construction of ultra-high gradient coils for MRI. (2) The implementation of advanced MRI pulse sequences for mapping of microvascular parameters, and (3) The correlation of MRI-derived vascular parameters (diffusion and perfusion) with histological parameters (tumor grade and microvessel density) in an animal model of human breast cancer. |
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The hypothesis is that the spatial distribution of microvasculature around a breast lesion is specific for malignancy and can be reliably measured by a completely non-invasive MRI method. This hypothesis is being tested by: (1) The design and construction of ultra-high gradient coils for MRI. (2) The implementation of advanced MRI pulse sequences for mapping of microvascular parameters, and (3) The correlation of MRI-derived vascular parameters (diffusion and perfusion) with histological parameters (tumor grade and microvessel density) in an animal model of human breast cancer.</description><language>eng</language><subject>ANGIOGENESIS ; BREAST CANCER ; DIAGNOSIS(MEDICINE) ; HIGH STRENGTH GRADIENT COILS ; HYPOTHESES ; LESIONS ; MAGNETIC RESONANCE IMAGING ; MALIGNANT ; MAMMARY GLANDS ; Medicine and Medical Research ; MICROVESSEL ; Radiobiology ; RESPONSE(BIOLOGY)</subject><creationdate>2000</creationdate><rights>APPROVED FOR PUBLIC RELEASE</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,780,885,27567,27568</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/ADA385709$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Gareau, Paul</creatorcontrib><creatorcontrib>Rutt, Brian K</creatorcontrib><creatorcontrib>JOHN P ROBARTS RESEARCH INST LONDON (ONTARIO)</creatorcontrib><title>Prediction of Malignancy in Breast Tumors Using Diffusion Weighted Magnetic Resonance Imaging</title><description>The purpose of this research is to develop a non-invasive predictor of malignancy in breast tumors using novel magnetic resonance imaging (MRI) techniques. The hypothesis is that the spatial distribution of microvasculature around a breast lesion is specific for malignancy and can be reliably measured by a completely non-invasive MRI method. This hypothesis is being tested by: (1) The design and construction of ultra-high gradient coils for MRI. (2) The implementation of advanced MRI pulse sequences for mapping of microvascular parameters, and (3) The correlation of MRI-derived vascular parameters (diffusion and perfusion) with histological parameters (tumor grade and microvessel density) in an animal model of human breast cancer.</description><subject>ANGIOGENESIS</subject><subject>BREAST CANCER</subject><subject>DIAGNOSIS(MEDICINE)</subject><subject>HIGH STRENGTH GRADIENT COILS</subject><subject>HYPOTHESES</subject><subject>LESIONS</subject><subject>MAGNETIC RESONANCE IMAGING</subject><subject>MALIGNANT</subject><subject>MAMMARY GLANDS</subject><subject>Medicine and Medical Research</subject><subject>MICROVESSEL</subject><subject>Radiobiology</subject><subject>RESPONSE(BIOLOGY)</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>2000</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNrjZIgNKEpNyUwuyczPU8hPU_BNzMlMz0vMS65UyMxTcCpKTSwuUQgpzc0vKlYILc7MS1dwyUxLKy0GKQ9PzUzPKElNAWpKz0styUxWCEotzgdpTlXwzE1MB6rmYWBNS8wpTuWF0twMMm6uIc4euilA5fHFJZlAffGOLo7GFqbmBpbGBKQBYxg46w</recordid><startdate>200007</startdate><enddate>200007</enddate><creator>Gareau, Paul</creator><creator>Rutt, Brian K</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>200007</creationdate><title>Prediction of Malignancy in Breast Tumors Using Diffusion Weighted Magnetic Resonance Imaging</title><author>Gareau, Paul ; Rutt, Brian K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_ADA3857093</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>2000</creationdate><topic>ANGIOGENESIS</topic><topic>BREAST CANCER</topic><topic>DIAGNOSIS(MEDICINE)</topic><topic>HIGH STRENGTH GRADIENT COILS</topic><topic>HYPOTHESES</topic><topic>LESIONS</topic><topic>MAGNETIC RESONANCE IMAGING</topic><topic>MALIGNANT</topic><topic>MAMMARY GLANDS</topic><topic>Medicine and Medical Research</topic><topic>MICROVESSEL</topic><topic>Radiobiology</topic><topic>RESPONSE(BIOLOGY)</topic><toplevel>online_resources</toplevel><creatorcontrib>Gareau, Paul</creatorcontrib><creatorcontrib>Rutt, Brian K</creatorcontrib><creatorcontrib>JOHN P ROBARTS RESEARCH INST LONDON (ONTARIO)</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Gareau, Paul</au><au>Rutt, Brian K</au><aucorp>JOHN P ROBARTS RESEARCH INST LONDON (ONTARIO)</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>Prediction of Malignancy in Breast Tumors Using Diffusion Weighted Magnetic Resonance Imaging</btitle><date>2000-07</date><risdate>2000</risdate><abstract>The purpose of this research is to develop a non-invasive predictor of malignancy in breast tumors using novel magnetic resonance imaging (MRI) techniques. The hypothesis is that the spatial distribution of microvasculature around a breast lesion is specific for malignancy and can be reliably measured by a completely non-invasive MRI method. This hypothesis is being tested by: (1) The design and construction of ultra-high gradient coils for MRI. (2) The implementation of advanced MRI pulse sequences for mapping of microvascular parameters, and (3) The correlation of MRI-derived vascular parameters (diffusion and perfusion) with histological parameters (tumor grade and microvessel density) in an animal model of human breast cancer.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ANGIOGENESIS BREAST CANCER DIAGNOSIS(MEDICINE) HIGH STRENGTH GRADIENT COILS HYPOTHESES LESIONS MAGNETIC RESONANCE IMAGING MALIGNANT MAMMARY GLANDS Medicine and Medical Research MICROVESSEL Radiobiology RESPONSE(BIOLOGY) |
title | Prediction of Malignancy in Breast Tumors Using Diffusion Weighted Magnetic Resonance Imaging |
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