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Article: Dynamic PET-CT studies for characterizing nasopharyngeal carcinoma metabolism: comparison of analytical methods
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TitleDynamic PET-CT studies for characterizing nasopharyngeal carcinoma metabolism: comparison of analytical methods
 
AuthorsHuang, B2
Khong, PL2
Kwong, DLW3
Hung, B1
Wong, CS2
Wong, CYO1
 
Issue Date2012
 
PublisherLippincott Williams & Wilkins. The Journal's web site is located at http://www.nuclearmedicinecomm.com
 
CitationNuclear Medicine Communications, 2012, v. 33 n. 2, p. 191-197 [How to Cite?]
DOI: http://dx.doi.org/10.1097/MNM.0b013e32834dfa0c
 
AbstractOBJECTIVES: To investigate the optimal PET protocol and analytical method to characterize the glucose metabolism in nasopharyngeal carcinoma (NPC). METHODS: Newly diagnosed NPC patients were recruited and a dynamic PET-CT scan was performed. The optimized threshold to derive the arterial input function (AIF) was studied. Two-tissue compartmental kinetic modeling using three, four, and five parameters, Patlak graphical analysis, and time sensitivity (S-factor) analysis were performed. The best compartmental model was determined in terms of goodness of fit, and correlated with Ki from Patlak graphical analysis and the S-factor. The methods with R>0.9 and P<0.05 were considered acceptable. The protocols using two static scans with its retention index (RI=(SUV(2)/SUV(1)-1)x100%, where SUV is the standardized uptake value) were also studied and compared with S-factor analysis. RESULTS: The best threshold of 0.6 was determined and used to derive AIF. The kinetic model with five parameters yields the best statistical results, but the model with k4=0 was used as the gold standard. All Ki values and some S-factors from data between various intervals (10-30, 10-45, 15-30, 15-45, 20-30, and 20-45 min) fulfilled the criteria. The RIs calculated from the S-factor were highly correlated to RI derived from simple two-point static scans at 10 and 30 min (R=0.9, P<0.0001). CONCLUSION: The Patlak graphical analyses and even a 20-min-interval S-factor analysis or simple two-point static scans were shown to be sufficient to characterize NPC metabolism, confirming the clinical feasibility of applying a short dynamic with image-derived AIF or simple two-point static PET scans for studying NPC.
 
ISSN0143-3636
2013 Impact Factor: 1.371
2013 SCImago Journal Rankings: 0.632
 
DOIhttp://dx.doi.org/10.1097/MNM.0b013e32834dfa0c
 
ISI Accession Number IDWOS:000299649300011
Funding AgencyGrant Number
Hong Kong University Grants CouncilAoE/M-06/08
Funding Information:

The study was partially funded by Hong Kong University Grants Council Area of Excellence scheme (AoE/M-06/08) and Small Project Funding scheme.

 
ReferencesReferences in Scopus
 
GrantsCentre for Nasopharyngeal Carcinoma Research
 
DC FieldValue
dc.contributor.authorHuang, B
 
dc.contributor.authorKhong, PL
 
dc.contributor.authorKwong, DLW
 
dc.contributor.authorHung, B
 
dc.contributor.authorWong, CS
 
dc.contributor.authorWong, CYO
 
dc.date.accessioned2012-06-26T06:12:09Z
 
dc.date.available2012-06-26T06:12:09Z
 
dc.date.issued2012
 
dc.description.abstractOBJECTIVES: To investigate the optimal PET protocol and analytical method to characterize the glucose metabolism in nasopharyngeal carcinoma (NPC). METHODS: Newly diagnosed NPC patients were recruited and a dynamic PET-CT scan was performed. The optimized threshold to derive the arterial input function (AIF) was studied. Two-tissue compartmental kinetic modeling using three, four, and five parameters, Patlak graphical analysis, and time sensitivity (S-factor) analysis were performed. The best compartmental model was determined in terms of goodness of fit, and correlated with Ki from Patlak graphical analysis and the S-factor. The methods with R>0.9 and P<0.05 were considered acceptable. The protocols using two static scans with its retention index (RI=(SUV(2)/SUV(1)-1)x100%, where SUV is the standardized uptake value) were also studied and compared with S-factor analysis. RESULTS: The best threshold of 0.6 was determined and used to derive AIF. The kinetic model with five parameters yields the best statistical results, but the model with k4=0 was used as the gold standard. All Ki values and some S-factors from data between various intervals (10-30, 10-45, 15-30, 15-45, 20-30, and 20-45 min) fulfilled the criteria. The RIs calculated from the S-factor were highly correlated to RI derived from simple two-point static scans at 10 and 30 min (R=0.9, P<0.0001). CONCLUSION: The Patlak graphical analyses and even a 20-min-interval S-factor analysis or simple two-point static scans were shown to be sufficient to characterize NPC metabolism, confirming the clinical feasibility of applying a short dynamic with image-derived AIF or simple two-point static PET scans for studying NPC.
 
dc.description.naturelink_to_subscribed_fulltext
 
dc.identifier.citationNuclear Medicine Communications, 2012, v. 33 n. 2, p. 191-197 [How to Cite?]
DOI: http://dx.doi.org/10.1097/MNM.0b013e32834dfa0c
 
dc.identifier.doihttp://dx.doi.org/10.1097/MNM.0b013e32834dfa0c
 
dc.identifier.epage197
 
dc.identifier.hkuros206679
 
dc.identifier.isiWOS:000299649300011
Funding AgencyGrant Number
Hong Kong University Grants CouncilAoE/M-06/08
Funding Information:

The study was partially funded by Hong Kong University Grants Council Area of Excellence scheme (AoE/M-06/08) and Small Project Funding scheme.

 
dc.identifier.issn0143-3636
2013 Impact Factor: 1.371
2013 SCImago Journal Rankings: 0.632
 
dc.identifier.issue2
 
dc.identifier.pmid22107997
 
dc.identifier.scopuseid_2-s2.0-84855193471
 
dc.identifier.spage191
 
dc.identifier.urihttp://hdl.handle.net/10722/150846
 
dc.identifier.volume33
 
dc.languageeng
 
dc.publisherLippincott Williams & Wilkins. The Journal's web site is located at http://www.nuclearmedicinecomm.com
 
dc.publisher.placeUnited States
 
dc.relation.ispartofNuclear Medicine Communications
 
dc.relation.projectCentre for Nasopharyngeal Carcinoma Research
 
dc.relation.referencesReferences in Scopus
 
dc.subject.meshAlgorithms
 
dc.subject.meshFluorodeoxyglucose F18 - diagnostic use - pharmacokinetics
 
dc.subject.meshNasopharyngeal Neoplasms - metabolism - radionuclide imaging
 
dc.subject.meshPositron-Emission Tomography and Computed Tomography - methods
 
dc.subject.meshRadiopharmaceuticals - diagnostic use - pharmacokinetics
 
dc.titleDynamic PET-CT studies for characterizing nasopharyngeal carcinoma metabolism: comparison of analytical methods
 
dc.typeArticle
 
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<contributor.author>Hung, B</contributor.author>
<contributor.author>Wong, CS</contributor.author>
<contributor.author>Wong, CYO</contributor.author>
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<description.abstract>OBJECTIVES: To investigate the optimal PET protocol and analytical method to characterize the glucose metabolism in nasopharyngeal carcinoma (NPC). METHODS: Newly diagnosed NPC patients were recruited and a dynamic PET-CT scan was performed. The optimized threshold to derive the arterial input function (AIF) was studied. Two-tissue compartmental kinetic modeling using three, four, and five parameters, Patlak graphical analysis, and time sensitivity (S-factor) analysis were performed. The best compartmental model was determined in terms of goodness of fit, and correlated with Ki from Patlak graphical analysis and the S-factor. The methods with R&gt;0.9 and P&lt;0.05 were considered acceptable. The protocols using two static scans with its retention index (RI=(SUV(2)/SUV(1)-1)x100%, where SUV is the standardized uptake value) were also studied and compared with S-factor analysis. RESULTS: The best threshold of 0.6 was determined and used to derive AIF. The kinetic model with five parameters yields the best statistical results, but the model with k4=0 was used as the gold standard. All Ki values and some S-factors from data between various intervals (10-30, 10-45, 15-30, 15-45, 20-30, and 20-45 min) fulfilled the criteria. The RIs calculated from the S-factor were highly correlated to RI derived from simple two-point static scans at 10 and 30 min (R=0.9, P&lt;0.0001). CONCLUSION: The Patlak graphical analyses and even a 20-min-interval S-factor analysis or simple two-point static scans were shown to be sufficient to characterize NPC metabolism, confirming the clinical feasibility of applying a short dynamic with image-derived AIF or simple two-point static PET scans for studying NPC.</description.abstract>
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Author Affiliations
  1. Oakland University
  2. The University of Hong Kong
  3. Queen Mary Hospital Hong Kong