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Article: Dynamic PET-CT studies for characterizing nasopharyngeal carcinoma metabolism: comparison of analytical methods

TitleDynamic PET-CT studies for characterizing nasopharyngeal carcinoma metabolism: comparison of analytical methods
Authors
Keywordsdynamic [ 18F]fluoro-2-deoxy-D-glucose PET
nasopharyngeal carcinoma
quantitative analysis
Issue Date2012
PublisherLippincott Williams & Wilkins. The Journal's web site is located at http://www.nuclearmedicinecomm.com
Citation
Nuclear Medicine Communications, 2012, v. 33 n. 2, p. 191-197 How to Cite?
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.
Persistent Identifierhttp://hdl.handle.net/10722/150846
ISSN
2023 Impact Factor: 1.3
2023 SCImago Journal Rankings: 0.374
ISI Accession Number ID
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.

References
Grants

 

DC FieldValueLanguage
dc.contributor.authorHuang, Ben_US
dc.contributor.authorKhong, PLen_US
dc.contributor.authorKwong, DLWen_US
dc.contributor.authorHung, Ben_US
dc.contributor.authorWong, CSen_US
dc.contributor.authorWong, CYOen_US
dc.date.accessioned2012-06-26T06:12:09Z-
dc.date.available2012-06-26T06:12:09Z-
dc.date.issued2012en_US
dc.identifier.citationNuclear Medicine Communications, 2012, v. 33 n. 2, p. 191-197en_US
dc.identifier.issn0143-3636en_US
dc.identifier.urihttp://hdl.handle.net/10722/150846-
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.en_US
dc.languageengen_US
dc.publisherLippincott Williams & Wilkins. The Journal's web site is located at http://www.nuclearmedicinecomm.comen_US
dc.relation.ispartofNuclear Medicine Communicationsen_US
dc.subjectdynamic [ 18F]fluoro-2-deoxy-D-glucose PET-
dc.subjectnasopharyngeal carcinoma-
dc.subjectquantitative analysis-
dc.subject.meshAlgorithmsen_US
dc.subject.meshFluorodeoxyglucose F18 - diagnostic use - pharmacokineticsen_US
dc.subject.meshNasopharyngeal Neoplasms - metabolism - radionuclide imagingen_US
dc.subject.meshPositron-Emission Tomography and Computed Tomography - methodsen_US
dc.subject.meshRadiopharmaceuticals - diagnostic use - pharmacokineticsen_US
dc.titleDynamic PET-CT studies for characterizing nasopharyngeal carcinoma metabolism: comparison of analytical methodsen_US
dc.typeArticleen_US
dc.identifier.emailHuang, B: huanghku@hku.hken_US
dc.identifier.emailKhong, PL: plkhong@hkucc.hku.hken_US
dc.identifier.emailKwong, DLW: dlwkwong@hku.hken_US
dc.identifier.emailWong, CS: drcswong@hku.hk-
dc.identifier.emailWong, CYO: owong@beaumont.edu-
dc.identifier.authorityKhong, PL=rp00467en_US
dc.identifier.authorityKwong, DLW=rp00414en_US
dc.identifier.authorityWong, CS=rp01391en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1097/MNM.0b013e32834dfa0cen_US
dc.identifier.pmid22107997-
dc.identifier.scopuseid_2-s2.0-84855193471en_US
dc.identifier.hkuros206679-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84855193471&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume33en_US
dc.identifier.issue2en_US
dc.identifier.spage191en_US
dc.identifier.epage197en_US
dc.identifier.isiWOS:000299649300011-
dc.publisher.placeUnited Statesen_US
dc.relation.projectCentre for Nasopharyngeal Carcinoma Research-
dc.identifier.scopusauthoridWong, CYO=54398081100en_US
dc.identifier.scopusauthoridWong, CS=24605454100en_US
dc.identifier.scopusauthoridHung, B=54398045400en_US
dc.identifier.scopusauthoridKwong, DLW=15744231600en_US
dc.identifier.scopusauthoridKhong, PL=7006693233en_US
dc.identifier.scopusauthoridHuang, B=36087446500en_US
dc.identifier.issnl0143-3636-

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