Redefining the normal angiogram using population-derived ranges for coronary size and shape: validation using intravascular ultrasound and applications in diverse patient cohorts
To develop a method for quantitating coronary angiographic abnormalities of segmental size and shape (tapering) in comparison to gender- and segment-specific, population derived, normal values. In the absence of obvious focal stenoses, remodeling renders the angiogram insensitive to the presence of...
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Veröffentlicht in: | International Journal of Cardiovascular Imaging 2007-08, Vol.23 (4), p.441-453 |
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creator | Mancini, G B John Ryomoto, Arnold Kamimura, Craig Yeoh, Eunice Ramanathan, Krishnan Schulzer, Michael Hamburger, Jaap Ricci, Donald |
description | To develop a method for quantitating coronary angiographic abnormalities of segmental size and shape (tapering) in comparison to gender- and segment-specific, population derived, normal values.
In the absence of obvious focal stenoses, remodeling renders the angiogram insensitive to the presence of atherosclerosis and invalidates use of a "normal reference segment" for calculation of percent diameter stenosis.
Equations were created for detection of size/shape abnormalities of coronary angiographic segments. After validation using intravascular ultrasound (IVUS), the equations were applied to a cohort of segments judged to be completely normal by a panel of highly experienced, core laboratory technicians; and a cohort of patients judged by an experienced interventionalist to have completely normal coronaries.
In patients assessed by core technicians, 53% (162/303) of males, 39% (209/538) of normal segments in males, 60% (56/94) of females, and 40% (81/205) of normal segments in females had quantifiable abnormalities. In patients with normal coronaries as judged by an experienced interventionalist, 100% of males (n = 14) and females (n = 19), 37% (67/182) of segments in males and 43% (105/247) of segments in females had abnormalities. The left main segment was most commonly abnormal.
We propose a set of equations validated using IVUS and based on gender- and segment-specific normal values for coronary angiographic size and shape that markedly improves the sensitivity of the coronary angiogram for detection of abnormalities. The method should replace the unfounded practice of labeling coronary angiograms as "normal" based solely on the failure to detect focal stenoses. |
doi_str_mv | 10.1007/s10554-006-9199-z |
format | Article |
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In the absence of obvious focal stenoses, remodeling renders the angiogram insensitive to the presence of atherosclerosis and invalidates use of a "normal reference segment" for calculation of percent diameter stenosis.
Equations were created for detection of size/shape abnormalities of coronary angiographic segments. After validation using intravascular ultrasound (IVUS), the equations were applied to a cohort of segments judged to be completely normal by a panel of highly experienced, core laboratory technicians; and a cohort of patients judged by an experienced interventionalist to have completely normal coronaries.
In patients assessed by core technicians, 53% (162/303) of males, 39% (209/538) of normal segments in males, 60% (56/94) of females, and 40% (81/205) of normal segments in females had quantifiable abnormalities. In patients with normal coronaries as judged by an experienced interventionalist, 100% of males (n = 14) and females (n = 19), 37% (67/182) of segments in males and 43% (105/247) of segments in females had abnormalities. The left main segment was most commonly abnormal.
We propose a set of equations validated using IVUS and based on gender- and segment-specific normal values for coronary angiographic size and shape that markedly improves the sensitivity of the coronary angiogram for detection of abnormalities. The method should replace the unfounded practice of labeling coronary angiograms as "normal" based solely on the failure to detect focal stenoses.</description><identifier>ISSN: 1569-5794</identifier><identifier>EISSN: 1573-0743</identifier><identifier>DOI: 10.1007/s10554-006-9199-z</identifier><identifier>PMID: 17216124</identifier><identifier>CODEN: IJCIBI</identifier><language>eng</language><publisher>United States: Springer Nature B.V</publisher><subject>Abnormalities ; Arteriosclerosis ; Atherosclerosis ; Cohort Studies ; Coronary Angiography - methods ; Coronary Angiography - standards ; Coronary Stenosis - diagnostic imaging ; Coronary Vessels - diagnostic imaging ; Coronary Vessels - pathology ; Female ; Females ; Gender ; Humans ; Male ; Males ; Mathematical analysis ; Models, Cardiovascular ; Predictive Value of Tests ; Reference Standards ; Reference Values ; Reproducibility of Results ; Segments ; Sensitivity and Specificity ; Severity of Illness Index ; Sex Factors ; Stenosis ; Tapering ; Technicians ; Ultrasonic imaging ; Ultrasonography, Interventional ; Ultrasound</subject><ispartof>International Journal of Cardiovascular Imaging, 2007-08, Vol.23 (4), p.441-453</ispartof><rights>Springer Science+Business Media B.V. 2007</rights><rights>Springer Science+Business Media, Inc. 2007.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c385t-e7094a250dc0026eef4074392bdf33c583e4b3daacd1d8879d6ab8956fe6bcf93</citedby><cites>FETCH-LOGICAL-c385t-e7094a250dc0026eef4074392bdf33c583e4b3daacd1d8879d6ab8956fe6bcf93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17216124$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mancini, G B John</creatorcontrib><creatorcontrib>Ryomoto, Arnold</creatorcontrib><creatorcontrib>Kamimura, Craig</creatorcontrib><creatorcontrib>Yeoh, Eunice</creatorcontrib><creatorcontrib>Ramanathan, Krishnan</creatorcontrib><creatorcontrib>Schulzer, Michael</creatorcontrib><creatorcontrib>Hamburger, Jaap</creatorcontrib><creatorcontrib>Ricci, Donald</creatorcontrib><title>Redefining the normal angiogram using population-derived ranges for coronary size and shape: validation using intravascular ultrasound and applications in diverse patient cohorts</title><title>International Journal of Cardiovascular Imaging</title><addtitle>Int J Cardiovasc Imaging</addtitle><description>To develop a method for quantitating coronary angiographic abnormalities of segmental size and shape (tapering) in comparison to gender- and segment-specific, population derived, normal values.
In the absence of obvious focal stenoses, remodeling renders the angiogram insensitive to the presence of atherosclerosis and invalidates use of a "normal reference segment" for calculation of percent diameter stenosis.
Equations were created for detection of size/shape abnormalities of coronary angiographic segments. After validation using intravascular ultrasound (IVUS), the equations were applied to a cohort of segments judged to be completely normal by a panel of highly experienced, core laboratory technicians; and a cohort of patients judged by an experienced interventionalist to have completely normal coronaries.
In patients assessed by core technicians, 53% (162/303) of males, 39% (209/538) of normal segments in males, 60% (56/94) of females, and 40% (81/205) of normal segments in females had quantifiable abnormalities. In patients with normal coronaries as judged by an experienced interventionalist, 100% of males (n = 14) and females (n = 19), 37% (67/182) of segments in males and 43% (105/247) of segments in females had abnormalities. The left main segment was most commonly abnormal.
We propose a set of equations validated using IVUS and based on gender- and segment-specific normal values for coronary angiographic size and shape that markedly improves the sensitivity of the coronary angiogram for detection of abnormalities. The method should replace the unfounded practice of labeling coronary angiograms as "normal" based solely on the failure to detect focal stenoses.</description><subject>Abnormalities</subject><subject>Arteriosclerosis</subject><subject>Atherosclerosis</subject><subject>Cohort Studies</subject><subject>Coronary Angiography - methods</subject><subject>Coronary Angiography - standards</subject><subject>Coronary Stenosis - diagnostic imaging</subject><subject>Coronary Vessels - diagnostic imaging</subject><subject>Coronary Vessels - pathology</subject><subject>Female</subject><subject>Females</subject><subject>Gender</subject><subject>Humans</subject><subject>Male</subject><subject>Males</subject><subject>Mathematical analysis</subject><subject>Models, Cardiovascular</subject><subject>Predictive Value of Tests</subject><subject>Reference Standards</subject><subject>Reference Values</subject><subject>Reproducibility of Results</subject><subject>Segments</subject><subject>Sensitivity and Specificity</subject><subject>Severity of Illness Index</subject><subject>Sex Factors</subject><subject>Stenosis</subject><subject>Tapering</subject><subject>Technicians</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonography, Interventional</subject><subject>Ultrasound</subject><issn>1569-5794</issn><issn>1573-0743</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFks2KFDEUhQtRnHH0AdxIUHAXzU8lqbgbBv9gQBBdh1RyqztDVVImVQ32Y_mEpqYbBEFcJbn5zrkk9zTNc0reUELU20KJEC0mRGJNtcbHB80lFYpjolr-cNtLjYXS7UXzpJQ7QqjiWj9uLqhiVFLWXja_voKHIcQQd2jZA4opT3ZENu5C2mU7obVsV3Oa19EuIUXsIYcDeJQrAwUNKSOXcoo2_0QlHKFqPSp7O8M7dLBj8Peys0-IS7YHW1x1y2gd66mktQo2kZ3nMbh7vFQS-donF0BzLUFcapt9ykt52jwa7Fjg2Xm9ar5_eP_t5hO-_fLx8831LXa8EwsGRXRrmSDeEcIkwNBu36JZ7wfOneg4tD331jpPfdcp7aXtOy3kALJ3g-ZXzeuT75zTjxXKYqZQHIyjjZDWYhRRjEjW_hekWgkppajgq7_Au7TmWB9hmJQtI0rzre_Lf1J1okwLzStET5DLqZQMg5lzmOoMDCVmC4c5hcPUcJgtHOZYNS_Oxms_gf-jOKeB_wZjiroh</recordid><startdate>200708</startdate><enddate>200708</enddate><creator>Mancini, G B John</creator><creator>Ryomoto, Arnold</creator><creator>Kamimura, Craig</creator><creator>Yeoh, Eunice</creator><creator>Ramanathan, Krishnan</creator><creator>Schulzer, Michael</creator><creator>Hamburger, Jaap</creator><creator>Ricci, Donald</creator><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7Z</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7QO</scope><scope>7X8</scope></search><sort><creationdate>200708</creationdate><title>Redefining the normal angiogram using population-derived ranges for coronary size and shape: validation using intravascular ultrasound and applications in diverse patient cohorts</title><author>Mancini, G B John ; 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In the absence of obvious focal stenoses, remodeling renders the angiogram insensitive to the presence of atherosclerosis and invalidates use of a "normal reference segment" for calculation of percent diameter stenosis.
Equations were created for detection of size/shape abnormalities of coronary angiographic segments. After validation using intravascular ultrasound (IVUS), the equations were applied to a cohort of segments judged to be completely normal by a panel of highly experienced, core laboratory technicians; and a cohort of patients judged by an experienced interventionalist to have completely normal coronaries.
In patients assessed by core technicians, 53% (162/303) of males, 39% (209/538) of normal segments in males, 60% (56/94) of females, and 40% (81/205) of normal segments in females had quantifiable abnormalities. In patients with normal coronaries as judged by an experienced interventionalist, 100% of males (n = 14) and females (n = 19), 37% (67/182) of segments in males and 43% (105/247) of segments in females had abnormalities. The left main segment was most commonly abnormal.
We propose a set of equations validated using IVUS and based on gender- and segment-specific normal values for coronary angiographic size and shape that markedly improves the sensitivity of the coronary angiogram for detection of abnormalities. The method should replace the unfounded practice of labeling coronary angiograms as "normal" based solely on the failure to detect focal stenoses.</abstract><cop>United States</cop><pub>Springer Nature B.V</pub><pmid>17216124</pmid><doi>10.1007/s10554-006-9199-z</doi><tpages>13</tpages></addata></record> |
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subjects | Abnormalities Arteriosclerosis Atherosclerosis Cohort Studies Coronary Angiography - methods Coronary Angiography - standards Coronary Stenosis - diagnostic imaging Coronary Vessels - diagnostic imaging Coronary Vessels - pathology Female Females Gender Humans Male Males Mathematical analysis Models, Cardiovascular Predictive Value of Tests Reference Standards Reference Values Reproducibility of Results Segments Sensitivity and Specificity Severity of Illness Index Sex Factors Stenosis Tapering Technicians Ultrasonic imaging Ultrasonography, Interventional Ultrasound |
title | Redefining the normal angiogram using population-derived ranges for coronary size and shape: validation using intravascular ultrasound and applications in diverse patient cohorts |
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