qPET – a quantitative extension of the Deauville scale to assess response in interim FDG-PET scans in lymphoma
Background Interim FDG-PET is used for treatment tailoring in lymphoma. Deauville response criteria consist of five ordinal categories based on visual comparison of residual tumor uptake to physiological reference uptakes. However, PET-response is a continuum and visual assessments can be distorted...
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Veröffentlicht in: | European journal of nuclear medicine and molecular imaging 2014-07, Vol.41 (7), p.1301-1308 |
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creator | Hasenclever, Dirk Kurch, Lars Mauz-Körholz, Christine Elsner, Andreas Georgi, Thomas Wallace, Hamish Landman-Parker, Judith Moryl-Bujakowska, Angelina Cepelová, Michaela Karlén, Jonas Álvarez Fernández-Teijeiro, Ana Attarbaschi, Andishe Fosså, Alexander Pears, Jane Hraskova, Andrea Bergsträsser, Eva Beishuizen, Auke Uyttebroeck, Anne Schomerus, Eckhard Sabri, Osama Körholz, Dieter Kluge, Regine |
description | Background
Interim FDG-PET is used for treatment tailoring in lymphoma. Deauville response criteria consist of five ordinal categories based on visual comparison of residual tumor uptake to physiological reference uptakes. However, PET-response is a continuum and visual assessments can be distorted by optical illusions.
Objectives
With a novel semi-automatic quantification tool we eliminate optical illusions and extend the Deauville score to a continuous scale.
Patients and methods
SUV
peak
of residual tumors and average uptake of the liver is measured with standardized volumes of interest. The qPET value is the quotient of these measurements. Deauville scores and qPET-values were determined in 898 pediatric Hodgkin’s lymphoma patients after two OEPA chemotherapy cycles.
Results
Deauville categories translate to thresholds on the qPET scale: Categories 3, 4, 5 correspond to qPET values of 0.95, 1.3 and 2.0, respectively. The distribution of qPET values is unimodal with a peak representing metabolically normal responses and a tail of clearly abnormal outliers. In our patients, the peak is at qPET = 0.95 coinciding with the border between Deauville 2 and 3. qPET cut values of 1.3 or 2 (determined by fitting mixture models) select abnormal metabolic responses with high sensitivity, respectively, specificity.
Conclusions
qPET methodology provides semi-automatic quantification for interim FDG-PET response in lymphoma extending ordinal Deauville scoring to a continuous scale. Deauville categories correspond to certain qPET cut values. Thresholds between normal and abnormal response can be derived from the qPET-distribution without need for follow-up data. In our patients, qPET < 1.3 excludes abnormal response with high sensitivity. |
doi_str_mv | 10.1007/s00259-014-2715-9 |
format | Article |
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Interim FDG-PET is used for treatment tailoring in lymphoma. Deauville response criteria consist of five ordinal categories based on visual comparison of residual tumor uptake to physiological reference uptakes. However, PET-response is a continuum and visual assessments can be distorted by optical illusions.
Objectives
With a novel semi-automatic quantification tool we eliminate optical illusions and extend the Deauville score to a continuous scale.
Patients and methods
SUV
peak
of residual tumors and average uptake of the liver is measured with standardized volumes of interest. The qPET value is the quotient of these measurements. Deauville scores and qPET-values were determined in 898 pediatric Hodgkin’s lymphoma patients after two OEPA chemotherapy cycles.
Results
Deauville categories translate to thresholds on the qPET scale: Categories 3, 4, 5 correspond to qPET values of 0.95, 1.3 and 2.0, respectively. The distribution of qPET values is unimodal with a peak representing metabolically normal responses and a tail of clearly abnormal outliers. In our patients, the peak is at qPET = 0.95 coinciding with the border between Deauville 2 and 3. qPET cut values of 1.3 or 2 (determined by fitting mixture models) select abnormal metabolic responses with high sensitivity, respectively, specificity.
Conclusions
qPET methodology provides semi-automatic quantification for interim FDG-PET response in lymphoma extending ordinal Deauville scoring to a continuous scale. Deauville categories correspond to certain qPET cut values. Thresholds between normal and abnormal response can be derived from the qPET-distribution without need for follow-up data. In our patients, qPET < 1.3 excludes abnormal response with high sensitivity.</description><identifier>ISSN: 1619-7070</identifier><identifier>EISSN: 1619-7089</identifier><identifier>DOI: 10.1007/s00259-014-2715-9</identifier><identifier>PMID: 24604592</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adolescent ; Biological Transport ; Cardiology ; Child ; Fluorodeoxyglucose F18 - metabolism ; Hodgkin Disease - diagnostic imaging ; Hodgkin Disease - metabolism ; Humans ; Image Processing, Computer-Assisted - methods ; Imaging ; Liver ; Lymphoma ; Medical imaging ; Medicine ; Medicine & Public Health ; Nuclear Medicine ; Oncology ; Original Article ; Orthopedics ; Positron-Emission Tomography - methods ; Radiology ; Tumors</subject><ispartof>European journal of nuclear medicine and molecular imaging, 2014-07, Vol.41 (7), p.1301-1308</ispartof><rights>Springer-Verlag Berlin Heidelberg 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c475t-faa305a01a3bb64f81e9c01db976222e77ffbb84f491f62c4647965ac64999003</citedby><cites>FETCH-LOGICAL-c475t-faa305a01a3bb64f81e9c01db976222e77ffbb84f491f62c4647965ac64999003</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00259-014-2715-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00259-014-2715-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24604592$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hasenclever, Dirk</creatorcontrib><creatorcontrib>Kurch, Lars</creatorcontrib><creatorcontrib>Mauz-Körholz, Christine</creatorcontrib><creatorcontrib>Elsner, Andreas</creatorcontrib><creatorcontrib>Georgi, Thomas</creatorcontrib><creatorcontrib>Wallace, Hamish</creatorcontrib><creatorcontrib>Landman-Parker, Judith</creatorcontrib><creatorcontrib>Moryl-Bujakowska, Angelina</creatorcontrib><creatorcontrib>Cepelová, Michaela</creatorcontrib><creatorcontrib>Karlén, Jonas</creatorcontrib><creatorcontrib>Álvarez Fernández-Teijeiro, Ana</creatorcontrib><creatorcontrib>Attarbaschi, Andishe</creatorcontrib><creatorcontrib>Fosså, Alexander</creatorcontrib><creatorcontrib>Pears, Jane</creatorcontrib><creatorcontrib>Hraskova, Andrea</creatorcontrib><creatorcontrib>Bergsträsser, Eva</creatorcontrib><creatorcontrib>Beishuizen, Auke</creatorcontrib><creatorcontrib>Uyttebroeck, Anne</creatorcontrib><creatorcontrib>Schomerus, Eckhard</creatorcontrib><creatorcontrib>Sabri, Osama</creatorcontrib><creatorcontrib>Körholz, Dieter</creatorcontrib><creatorcontrib>Kluge, Regine</creatorcontrib><title>qPET – a quantitative extension of the Deauville scale to assess response in interim FDG-PET scans in lymphoma</title><title>European journal of nuclear medicine and molecular imaging</title><addtitle>Eur J Nucl Med Mol Imaging</addtitle><addtitle>Eur J Nucl Med Mol Imaging</addtitle><description>Background
Interim FDG-PET is used for treatment tailoring in lymphoma. Deauville response criteria consist of five ordinal categories based on visual comparison of residual tumor uptake to physiological reference uptakes. However, PET-response is a continuum and visual assessments can be distorted by optical illusions.
Objectives
With a novel semi-automatic quantification tool we eliminate optical illusions and extend the Deauville score to a continuous scale.
Patients and methods
SUV
peak
of residual tumors and average uptake of the liver is measured with standardized volumes of interest. The qPET value is the quotient of these measurements. Deauville scores and qPET-values were determined in 898 pediatric Hodgkin’s lymphoma patients after two OEPA chemotherapy cycles.
Results
Deauville categories translate to thresholds on the qPET scale: Categories 3, 4, 5 correspond to qPET values of 0.95, 1.3 and 2.0, respectively. The distribution of qPET values is unimodal with a peak representing metabolically normal responses and a tail of clearly abnormal outliers. In our patients, the peak is at qPET = 0.95 coinciding with the border between Deauville 2 and 3. qPET cut values of 1.3 or 2 (determined by fitting mixture models) select abnormal metabolic responses with high sensitivity, respectively, specificity.
Conclusions
qPET methodology provides semi-automatic quantification for interim FDG-PET response in lymphoma extending ordinal Deauville scoring to a continuous scale. Deauville categories correspond to certain qPET cut values. Thresholds between normal and abnormal response can be derived from the qPET-distribution without need for follow-up data. In our patients, qPET < 1.3 excludes abnormal response with high sensitivity.</description><subject>Adolescent</subject><subject>Biological Transport</subject><subject>Cardiology</subject><subject>Child</subject><subject>Fluorodeoxyglucose F18 - metabolism</subject><subject>Hodgkin Disease - diagnostic imaging</subject><subject>Hodgkin Disease - metabolism</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Imaging</subject><subject>Liver</subject><subject>Lymphoma</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Nuclear Medicine</subject><subject>Oncology</subject><subject>Original Article</subject><subject>Orthopedics</subject><subject>Positron-Emission Tomography - methods</subject><subject>Radiology</subject><subject>Tumors</subject><issn>1619-7070</issn><issn>1619-7089</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqNkc2K1jAUhoMozjh6AW4k4MZN9SRNk2Yp86cwoItxHdLOidOhTfr1pIOz8x68Q6_ElG8cRBCEkATOc95D8jD2UsBbAWDeEYBsbAVCVdKIprKP2KHQwlYGWvv44W7ggD0jugEQrWztU3YglQbVWHnI5t3n00v-8_sP7vlu9TEP2efhFjl-yxhpSJGnwPM18hP06-0wjsip92XPiXsiJOIL0pwiIR9iWRmXYeJnJ-fVllzYSFthvJvm6zT55-xJ8CPhi_vziH05O708_lBdfDr_ePz-ouqVaXIVvK-h8SB83XVahVag7UFcddZoKSUaE0LXtSooK4KWvdLKWN34XitrLUB9xN7sc-cl7Vak7KaBehxHHzGt5ESjQNZgpfwPtG6kkEbpgr7-C71J6xLLQzZKKWVaaQol9lS_JKIFg5vLn_jlzglwmzm3N-eKObeZc7b0vLpPXrsJrx46fqsqgNwDVErxKy5_jP5n6i9AyaKW</recordid><startdate>20140701</startdate><enddate>20140701</enddate><creator>Hasenclever, Dirk</creator><creator>Kurch, Lars</creator><creator>Mauz-Körholz, Christine</creator><creator>Elsner, Andreas</creator><creator>Georgi, Thomas</creator><creator>Wallace, Hamish</creator><creator>Landman-Parker, Judith</creator><creator>Moryl-Bujakowska, Angelina</creator><creator>Cepelová, Michaela</creator><creator>Karlén, Jonas</creator><creator>Álvarez Fernández-Teijeiro, Ana</creator><creator>Attarbaschi, Andishe</creator><creator>Fosså, Alexander</creator><creator>Pears, Jane</creator><creator>Hraskova, Andrea</creator><creator>Bergsträsser, Eva</creator><creator>Beishuizen, Auke</creator><creator>Uyttebroeck, Anne</creator><creator>Schomerus, Eckhard</creator><creator>Sabri, Osama</creator><creator>Körholz, Dieter</creator><creator>Kluge, Regine</creator><general>Springer Berlin Heidelberg</general><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>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>20140701</creationdate><title>qPET – a quantitative extension of the Deauville scale to assess response in interim FDG-PET scans in lymphoma</title><author>Hasenclever, Dirk ; Kurch, Lars ; Mauz-Körholz, Christine ; Elsner, Andreas ; Georgi, Thomas ; Wallace, Hamish ; Landman-Parker, Judith ; Moryl-Bujakowska, Angelina ; Cepelová, Michaela ; Karlén, Jonas ; Álvarez Fernández-Teijeiro, Ana ; Attarbaschi, Andishe ; Fosså, Alexander ; Pears, Jane ; Hraskova, Andrea ; Bergsträsser, Eva ; Beishuizen, Auke ; Uyttebroeck, Anne ; Schomerus, Eckhard ; Sabri, Osama ; Körholz, Dieter ; Kluge, Regine</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c475t-faa305a01a3bb64f81e9c01db976222e77ffbb84f491f62c4647965ac64999003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adolescent</topic><topic>Biological Transport</topic><topic>Cardiology</topic><topic>Child</topic><topic>Fluorodeoxyglucose F18 - metabolism</topic><topic>Hodgkin Disease - diagnostic imaging</topic><topic>Hodgkin Disease - metabolism</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Imaging</topic><topic>Liver</topic><topic>Lymphoma</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Nuclear Medicine</topic><topic>Oncology</topic><topic>Original Article</topic><topic>Orthopedics</topic><topic>Positron-Emission Tomography - methods</topic><topic>Radiology</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hasenclever, Dirk</creatorcontrib><creatorcontrib>Kurch, Lars</creatorcontrib><creatorcontrib>Mauz-Körholz, Christine</creatorcontrib><creatorcontrib>Elsner, Andreas</creatorcontrib><creatorcontrib>Georgi, Thomas</creatorcontrib><creatorcontrib>Wallace, Hamish</creatorcontrib><creatorcontrib>Landman-Parker, Judith</creatorcontrib><creatorcontrib>Moryl-Bujakowska, Angelina</creatorcontrib><creatorcontrib>Cepelová, Michaela</creatorcontrib><creatorcontrib>Karlén, Jonas</creatorcontrib><creatorcontrib>Álvarez Fernández-Teijeiro, Ana</creatorcontrib><creatorcontrib>Attarbaschi, Andishe</creatorcontrib><creatorcontrib>Fosså, Alexander</creatorcontrib><creatorcontrib>Pears, Jane</creatorcontrib><creatorcontrib>Hraskova, Andrea</creatorcontrib><creatorcontrib>Bergsträsser, Eva</creatorcontrib><creatorcontrib>Beishuizen, Auke</creatorcontrib><creatorcontrib>Uyttebroeck, Anne</creatorcontrib><creatorcontrib>Schomerus, Eckhard</creatorcontrib><creatorcontrib>Sabri, Osama</creatorcontrib><creatorcontrib>Körholz, Dieter</creatorcontrib><creatorcontrib>Kluge, Regine</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>European journal of nuclear medicine and molecular imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hasenclever, Dirk</au><au>Kurch, Lars</au><au>Mauz-Körholz, Christine</au><au>Elsner, Andreas</au><au>Georgi, Thomas</au><au>Wallace, Hamish</au><au>Landman-Parker, Judith</au><au>Moryl-Bujakowska, Angelina</au><au>Cepelová, Michaela</au><au>Karlén, Jonas</au><au>Álvarez Fernández-Teijeiro, Ana</au><au>Attarbaschi, Andishe</au><au>Fosså, Alexander</au><au>Pears, Jane</au><au>Hraskova, Andrea</au><au>Bergsträsser, Eva</au><au>Beishuizen, Auke</au><au>Uyttebroeck, Anne</au><au>Schomerus, Eckhard</au><au>Sabri, Osama</au><au>Körholz, Dieter</au><au>Kluge, Regine</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>qPET – a quantitative extension of the Deauville scale to assess response in interim FDG-PET scans in lymphoma</atitle><jtitle>European journal of nuclear medicine and molecular imaging</jtitle><stitle>Eur J Nucl Med Mol Imaging</stitle><addtitle>Eur J Nucl Med Mol Imaging</addtitle><date>2014-07-01</date><risdate>2014</risdate><volume>41</volume><issue>7</issue><spage>1301</spage><epage>1308</epage><pages>1301-1308</pages><issn>1619-7070</issn><eissn>1619-7089</eissn><abstract>Background
Interim FDG-PET is used for treatment tailoring in lymphoma. Deauville response criteria consist of five ordinal categories based on visual comparison of residual tumor uptake to physiological reference uptakes. However, PET-response is a continuum and visual assessments can be distorted by optical illusions.
Objectives
With a novel semi-automatic quantification tool we eliminate optical illusions and extend the Deauville score to a continuous scale.
Patients and methods
SUV
peak
of residual tumors and average uptake of the liver is measured with standardized volumes of interest. The qPET value is the quotient of these measurements. Deauville scores and qPET-values were determined in 898 pediatric Hodgkin’s lymphoma patients after two OEPA chemotherapy cycles.
Results
Deauville categories translate to thresholds on the qPET scale: Categories 3, 4, 5 correspond to qPET values of 0.95, 1.3 and 2.0, respectively. The distribution of qPET values is unimodal with a peak representing metabolically normal responses and a tail of clearly abnormal outliers. In our patients, the peak is at qPET = 0.95 coinciding with the border between Deauville 2 and 3. qPET cut values of 1.3 or 2 (determined by fitting mixture models) select abnormal metabolic responses with high sensitivity, respectively, specificity.
Conclusions
qPET methodology provides semi-automatic quantification for interim FDG-PET response in lymphoma extending ordinal Deauville scoring to a continuous scale. Deauville categories correspond to certain qPET cut values. Thresholds between normal and abnormal response can be derived from the qPET-distribution without need for follow-up data. In our patients, qPET < 1.3 excludes abnormal response with high sensitivity.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>24604592</pmid><doi>10.1007/s00259-014-2715-9</doi><tpages>8</tpages></addata></record> |
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subjects | Adolescent Biological Transport Cardiology Child Fluorodeoxyglucose F18 - metabolism Hodgkin Disease - diagnostic imaging Hodgkin Disease - metabolism Humans Image Processing, Computer-Assisted - methods Imaging Liver Lymphoma Medical imaging Medicine Medicine & Public Health Nuclear Medicine Oncology Original Article Orthopedics Positron-Emission Tomography - methods Radiology Tumors |
title | qPET – a quantitative extension of the Deauville scale to assess response in interim FDG-PET scans in lymphoma |
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