AustralieFrV1, PubMed, Curation, bibRecord, 002616

Harmonizing FDG PET quantification while maintaining optimal lesion detection: prospective multicentre validation in 517 oncology patients.

Identifieur interne : 002616 ( PubMed/Curation ); précédent : 002615; suivant : 002617

Harmonizing FDG PET quantification while maintaining optimal lesion detection: prospective multicentre validation in 517 oncology patients.

Auteurs : Elske Quak [France] ; Pierre-Yves Le Roux [France] ; Michael S. Hofman [Australie] ; Philippe Robin [France] ; David Bourhis [France] ; Jason Callahan [Australie] ; David Binns [Australie] ; Cédric Desmonts [France] ; Pierre-Yves Salaun [France] ; Rodney J. Hicks [Australie] ; Nicolas Aide [France]

Source :

European journal of nuclear medicine and molecular imaging [ 1619-7089 ] ; 2015.

RBID : pubmed:26219870

Descripteurs français

English descriptors

KwdEn :
- Aged, Carcinoma, Non-Small-Cell Lung (diagnostic imaging), Female, Fluorodeoxyglucose F18, Humans, Image Processing, Computer-Assisted (methods), Liver Neoplasms (diagnostic imaging), Lymphoma, Non-Hodgkin (diagnostic imaging), Male, Melanoma (diagnostic imaging), Middle Aged, Positron-Emission Tomography (methods), Positron-Emission Tomography (standards), Radiopharmaceuticals.
MESH :
- chemical : Fluorodeoxyglucose F18, Radiopharmaceuticals.
- diagnostic imaging : Carcinoma, Non-Small-Cell Lung, Liver Neoplasms, Lymphoma, Non-Hodgkin, Melanoma.
- methods : Image Processing, Computer-Assisted, Positron-Emission Tomography.
- standards : Positron-Emission Tomography.
- Aged, Female, Humans, Male, Middle Aged.

Abstract

Point-spread function (PSF) or PSF + time-of-flight (TOF) reconstruction may improve lesion detection in oncologic PET, but can alter quantitation resulting in variable standardized uptake values (SUVs) between different PET systems. This study aims to validate a proprietary software tool (EQ.PET) to harmonize SUVs across different PET systems independent of the reconstruction algorithm used.

DOI: 10.1007/s00259-015-3128-0
PubMed: 26219870

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<term>Fluorodeoxyglucose F18</term>
<term>Humans</term>
<term>Image Processing, Computer-Assisted (methods)</term>
<term>Liver Neoplasms (diagnostic imaging)</term>
<term>Lymphoma, Non-Hodgkin (diagnostic imaging)</term>
<term>Male</term>
<term>Melanoma (diagnostic imaging)</term>
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<term>Carcinome pulmonaire non à petites cellules (imagerie diagnostique)</term>
<term>Femelle</term>
<term>Fluorodésoxyglucose F18</term>
<term>Humains</term>
<term>Lymphome malin non hodgkinien (imagerie diagnostique)</term>
<term>Mâle</term>
<term>Mélanome (imagerie diagnostique)</term>
<term>Radiopharmaceutiques</term>
<term>Sujet âgé</term>
<term>Tomographie par émission de positons ()</term>
<term>Tomographie par émission de positons (normes)</term>
<term>Traitement d'image par ordinateur ()</term>
<term>Tumeurs du foie (imagerie diagnostique)</term>
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<term>Radiopharmaceuticals</term>
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<term>Liver Neoplasms</term>
<term>Lymphoma, Non-Hodgkin</term>
<term>Melanoma</term>
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<keywords scheme="MESH" qualifier="imagerie diagnostique" xml:lang="fr"><term>Carcinome pulmonaire non à petites cellules</term>
<term>Lymphome malin non hodgkinien</term>
<term>Mélanome</term>
<term>Tumeurs du foie</term>
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<term>Positron-Emission Tomography</term>
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<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
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<term>Femelle</term>
<term>Fluorodésoxyglucose F18</term>
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<term>Mâle</term>
<term>Radiopharmaceutiques</term>
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<front><div type="abstract" xml:lang="en">Point-spread function (PSF) or PSF + time-of-flight (TOF) reconstruction may improve lesion detection in oncologic PET, but can alter quantitation resulting in variable standardized uptake values (SUVs) between different PET systems. This study aims to validate a proprietary software tool (EQ.PET) to harmonize SUVs across different PET systems independent of the reconstruction algorithm used.</div>
</front>
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<DateCreated><Year>2015</Year>
<Month>10</Month>
<Day>28</Day>
</DateCreated>
<DateCompleted><Year>2016</Year>
<Month>08</Month>
<Day>29</Day>
</DateCompleted>
<DateRevised><Year>2017</Year>
<Month>02</Month>
<Day>20</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1619-7089</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>42</Volume>
<Issue>13</Issue>
<PubDate><Year>2015</Year>
<Month>Dec</Month>
</PubDate>
</JournalIssue>
<Title>European journal of nuclear medicine and molecular imaging</Title>
<ISOAbbreviation>Eur. J. Nucl. Med. Mol. Imaging</ISOAbbreviation>
</Journal>
<ArticleTitle>Harmonizing FDG PET quantification while maintaining optimal lesion detection: prospective multicentre validation in 517 oncology patients.</ArticleTitle>
<Pagination><MedlinePgn>2072-82</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1007/s00259-015-3128-0</ELocationID>
<Abstract><AbstractText Label="PURPOSE" NlmCategory="OBJECTIVE">Point-spread function (PSF) or PSF + time-of-flight (TOF) reconstruction may improve lesion detection in oncologic PET, but can alter quantitation resulting in variable standardized uptake values (SUVs) between different PET systems. This study aims to validate a proprietary software tool (EQ.PET) to harmonize SUVs across different PET systems independent of the reconstruction algorithm used.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">NEMA NU2 phantom data were used to calculate the appropriate filter for each PSF or PSF+TOF reconstruction from three different PET systems, in order to obtain EANM compliant recovery coefficients. PET data from 517 oncology patients were reconstructed with a PSF or PSF+TOF reconstruction for optimal tumour detection and an ordered subset expectation maximization (OSEM3D) reconstruction known to fulfil EANM guidelines. Post-reconstruction, the proprietary filter was applied to the PSF or PSF+TOF data (PSFEQ or PSF+TOFEQ). SUVs for PSF or PSF+TOF and PSFEQ or PSF+TOFEQ were compared to SUVs for the OSEM3D reconstruction. The impact of potential confounders on the EQ.PET methodology including lesion and patient characteristics was studied, as was the adherence to imaging guidelines.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">For the 1380 tumour lesions studied, Bland-Altman analysis showed a mean ratio between PSF or PSF+TOF and OSEM3D of 1.46 (95%CI: 0.86-2.06) and 1.23 (95%CI: 0.95-1.51) for SUVmax and SUVpeak, respectively. Application of the proprietary filter improved these ratios to 1.02 (95%CI: 0.88-1.16) and 1.04 (95%CI: 0.92-1.17) for SUVmax and SUVpeak, respectively. The influence of the different confounding factors studied (lesion size, location, radial offset and patient's BMI) was less than 5%. Adherence to the European Association of Nuclear Medicine (EANM) guidelines for tumour imaging was good.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">These data indicate that it is not necessary to sacrifice the superior lesion detection and image quality achieved by newer reconstruction techniques in the quest for harmonizing quantitative comparability between PET systems.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Quak</LastName>
<ForeName>Elske</ForeName>
<Initials>E</Initials>
<AffiliationInfo><Affiliation>Nuclear Medicine Department, François Baclesse Cancer Centre, Caen, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Le Roux</LastName>
<ForeName>Pierre-Yves</ForeName>
<Initials>PY</Initials>
<AffiliationInfo><Affiliation>Nuclear Medicine Department, University Hospital and EA3878 (GETBO) IFR 148, Brest, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hofman</LastName>
<ForeName>Michael S</ForeName>
<Initials>MS</Initials>
<AffiliationInfo><Affiliation>Centre for Molecular Imaging, Peter MacCallum Cancer Centre, East Melbourne and University of Melbourne, Melbourne, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Robin</LastName>
<ForeName>Philippe</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Nuclear Medicine Department, University Hospital and EA3878 (GETBO) IFR 148, Brest, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Bourhis</LastName>
<ForeName>David</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Nuclear Medicine Department, University Hospital and EA3878 (GETBO) IFR 148, Brest, France.</Affiliation>
</AffiliationInfo>
</Author>
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<ForeName>Jason</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Centre for Molecular Imaging, Peter MacCallum Cancer Centre, East Melbourne and University of Melbourne, Melbourne, Australia.</Affiliation>
</AffiliationInfo>
</Author>
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<ForeName>David</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Centre for Molecular Imaging, Peter MacCallum Cancer Centre, East Melbourne and University of Melbourne, Melbourne, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Desmonts</LastName>
<ForeName>Cédric</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>Nuclear Medicine Department, University Hospital, Avenue Côte de Nacre, 14000, Caen, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Salaun</LastName>
<ForeName>Pierre-Yves</ForeName>
<Initials>PY</Initials>
<AffiliationInfo><Affiliation>Nuclear Medicine Department, University Hospital and EA3878 (GETBO) IFR 148, Brest, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hicks</LastName>
<ForeName>Rodney J</ForeName>
<Initials>RJ</Initials>
<AffiliationInfo><Affiliation>Centre for Molecular Imaging, Peter MacCallum Cancer Centre, East Melbourne and University of Melbourne, Melbourne, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Aide</LastName>
<ForeName>Nicolas</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>Nuclear Medicine Department, François Baclesse Cancer Centre, Caen, France. aide-n@chu-caen.fr.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Nuclear Medicine Department, University Hospital, Avenue Côte de Nacre, 14000, Caen, France. aide-n@chu-caen.fr.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>INSERM 1199, François Baclesse Cancer Centre, Caen, France. aide-n@chu-caen.fr.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Normandie University, Caen, France. aide-n@chu-caen.fr.</Affiliation>
</AffiliationInfo>
</Author>
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<Language>eng</Language>
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<ArticleDate DateType="Electronic"><Year>2015</Year>
<Month>07</Month>
<Day>30</Day>
</ArticleDate>
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<NlmUniqueID>101140988</NlmUniqueID>
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Harmonizing FDG PET quantification while maintaining optimal lesion detection: prospective multicentre validation in 517 oncology patients.

Harmonizing FDG PET quantification while maintaining optimal lesion detection: prospective multicentre validation in 517 oncology patients.

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