Wahl RL, Jacene H, Kasamon Y, Lodge MA. From RECIST to PERCIST: evolving Considerations for PET response criteria in solid tumors. J Nucl Med. 2009;50(Suppl 1):122S–50S.
Article
CAS
PubMed
PubMed Central
Google Scholar
Herholz K, Westwood S, Haense C, Dunn G. Evaluation of a calibrated (18)F-FDG PET score as a biomarker for progression in Alzheimer disease and mild cognitive impairment. J Nucl Med. 2011;52(8):1218–26.
Article
PubMed
Google Scholar
Foster NL, Heidebrink JL, Clark CM, Jagust WJ, Arnold SE, Barbas NR, et al. FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer’s disease. Brain. 2007;130(Pt 10):2616–35.
Article
PubMed
Google Scholar
Rabinovici GD, Rosen HJ, Alkalay A, Kornak J, Furst AJ, Agarwal N, et al. Amyloid vs FDG-PET in the differential diagnosis of AD and FTLD. Neurology. 2011;77(23):2034–42.
Article
CAS
PubMed
PubMed Central
Google Scholar
Kataoka J, Kishimoto A, Fujita T, Nishiyama T, Kurei Y, Tsujikawa T, et al. Recent progress of MPPC-based scintillation detectors in high precision X-ray and gamma-ray imaging. Nucl Instrum Methods Phys Res A Accelerators Spectrometers Detectors Assoc Equip. 2015;784:248–54.
Article
CAS
Google Scholar
David S, Georgiou M, Fysikopoulos E, Loudos G. Evaluation of a SiPM array coupled to a Gd3Al2Ga3O12:Ce (GAGG:Ce) discrete scintillator. Phys Med. 2015;31(7):763–6.
Article
CAS
PubMed
Google Scholar
Huizenga J, Seifert S, Schreuder F, van Dam HT, Dendooven P, Löhner H, et al. A fast preamplifier concept for SiPM-based time-of-flight PET detectors. Nucl Instrum Methods Phys Res A. 2012;695:379–84.
Article
CAS
Google Scholar
Levin CS, Maramraju SH, Khalighi MM, Deller TW, Delso G, Jansen F. Design features and mutual compatibility studies of the time-of-flight PET capable GE SIGNA PET/MR System. IEEE Trans Med Imaging. 2016;35(8):1907–14.
Article
PubMed
Google Scholar
Peng H, Levin LC. Recent developments in PET instrumentation. Curr Pharm Biotechnol. 2010;11(6):555–71.
Article
CAS
PubMed
PubMed Central
Google Scholar
Schaart DR, Seifert S, Vinke R, van Dam HT, Dendooven P, Löhner H, et al. LaBr3: Ce and SiPMs for time-of-flight PET: achieving 100 ps coincidence resolving time. Phys Med Biol. 2010;55(7):N179–89.
Article
PubMed
Google Scholar
Slomka PJ, Pan T, Germano G. Recent advances and future progress in PET instrumentation. Semin Nucl Med. 2016;46(1):5–19.
Article
PubMed
Google Scholar
Moses WW. Fundamental limits of spatial resolution in PET. Nucl Instrum Methods Phys Res A. 2011;648(Supplement 1):S236-40.
van Sluis J, Boellaard R, Somasundaram A, van Snick P, Borra R, Dierckx R, et al. Image quality and semiquantitative measurements on the biograph vision PET/CT system: initial experiences and comparison with the biograph mCT. J Nucl Med. 2020;61(1):129–35.
Article
PubMed
CAS
Google Scholar
Buzhan P, Dolgoshein B, Ilyin A, Kantserov V, Kaplin V, Karakash A, et al. An advanced study of silicon photomultiplier. Adv Technol Part Phys. 2002:717–28.
Buzhan P, Dolgoshein B, Filatov L, Ilyin A, Kantzerov V, Kaplin V, et al. Silicon photomultiplier and its possible applications. Nuclear Instruments and Methods in Physics Research Section A. 2003;504(1-3):48–52.
Article
CAS
Google Scholar
Hsu DF, Ilan E, Peterson WT, Uribe J, Lubberink M, Levin CS. Studies of a next-generation silicon-photomultiplier-based time-of-flight PET/CT system. J Nucl Med. 2017;58(9):1511–8.
Article
CAS
PubMed
Google Scholar
Wagatsuma K, Miwa K, Sakata M, Oda K, Ono H, Kameyama M, et al. Comparison between new-generation SiPM-based and conventional PMT-based TOF-PET/CT. Phys Med. 2017;42:203–10.
Article
PubMed
Google Scholar
Aljared A, Alharbi AA, Huellner MW. BSREM reconstruction for improved detection of in-transit metastases with digital FDG-PET/CT in patients with malignant melanoma. Clin Nucl Med. 2018;43(5):370–1.
Article
PubMed
Google Scholar
Sonni I, Baratto L, Park S, Hatami N, Srinivas S, Davidzon G, et al. Initial experience with a SiPM-based PET/CT scanner: influence of acquisition time on image quality. EJNMMI Phys. 2018;5(1):9.
Article
PubMed
PubMed Central
Google Scholar
Salvadori J, Imbert L, Perrin M, Karcher G, Lamiral Z, Marie PY, et al. Head-to-head comparison of image quality between brain 18F-FDG images recorded with a fully digital versus a last-generation analog PET camera. EJNMMI Res. 2019;9(1):61.
Article
PubMed
PubMed Central
CAS
Google Scholar
Bettinardi V, Presotto L, Rapisarda E, Picchio M, Gianolli L, Gilardi MC. Physical performance of the new hybrid PETCT Discovery-690. Med Phys. 2011;38(10):5394–411.
Article
CAS
PubMed
Google Scholar
Hoffman EJ, Cutler PD, Guerrero TM, Digby WM, Mazziotta JC. Assessment of accuracy of PET utilizing a 3-D phantom to simulate the activity distribution of [18F]fluorodeoxyglucose uptake in the human brain. J Cereb Blood Flow Metab. 1991;11(2):A17–25.
Article
CAS
PubMed
Google Scholar
Akamatsu G, Ikari Y, Nishio T, Nishida H, Ohnishi A, Aita K, et al. Optimization of image reconstruction conditions with phantoms for brain FDG and amyloid PET imaging. Ann Nucl Med. 2016;30(1):18–28.
Article
CAS
PubMed
Google Scholar
Partovi S, Yuh R, Pirozzi S, Lu Z, Couturier S, Grosse U, et al. Diagnostic performance of an automated analysis software for the diagnosis of Alzheimer’s dementia with 18F FDG PET. Am J Nucl Med Mol Imaging. 2017;7(1):12–23.
PubMed
PubMed Central
Google Scholar
Minoshima S, Frey KA, Koeppe RA, Foster NL, Kuhl DE. A diagnostic approach in Alzheimer’s disease using three-dimensional stereotactic surface projections of fluorine-18-FDG PET. J Nucl Med. 1995;36(7):1238–48.
CAS
PubMed
Google Scholar
Josephs KA, Duffy JR, Strand EA, Machulda MM, Senjem ML, Master AV, et al. Characterizing a neurodegenerative syndrome: primary progressive apraxia of speech. Brain. 2012;135(Pt 5):1522–36.
Article
PubMed
PubMed Central
Google Scholar
Probasco JC, Solnes L, Nalluri A, Cohen J, Jones KM, Zan E, et al. Abnormal brain metabolism on FDG-PET/CT is a common early finding in autoimmune encephalitis. Neurol Neuroimmunol Neuroinflamm. 2017;4(4):e352.
Article
PubMed
PubMed Central
Google Scholar
Yeom JY, Vinke R, Levin CS. Optimizing timing performance of silicon photomultiplier-based scintillation detectors. Phys Med Biol. 2013;58(4):1207–20.
Article
PubMed
PubMed Central
CAS
Google Scholar
Zhang J, Maniawski P, Knopp MV. Performance evaluation of the next generation solid-state digital photon counting PET/CT system. EJNMMI Res. 2018;8(1):97.
Article
PubMed
PubMed Central
CAS
Google Scholar
Nagaki A, Onoguchi M, Matsutomo N. Clinical validation of high-resolution image reconstruction algorithms in brain 18F-FDG-PET: effect of incorporating Gaussian filter, point spread function, and time-of-flight. Nucl Med Commun. 2014;35(12):1224–32.
Article
CAS
PubMed
Google Scholar
Surti S. Update on time-of-flight PET imaging. J Nucl Med. 2015;56(1):98–105.
Article
PubMed
Google Scholar
Yoshida E, Tashima H, Akamatsu G, Iwao Y, Takahashi M, Yamashita T, et al. 245 ps-TOF brain-dedicated PET prototype with a hemispherical detector arrangement. Phys Med Biol. 2020; [Epub ahead of print].
Levin C, Peterson W, Ross S, Stearns C, Uribe J. PET performance as a function of axial field of view for a new silicon photomultiplier-based whole body TOF PET/CT system. J Nucl Med. 2016;57(Suppl. 2):200.
Google Scholar
Pan T, Einstein SA, Kappadath SC, Grogg KS, Gomez CL, Alessio AM, et al. Performance evaluation of the 5-Ring GE Discovery MI PET/CT system using the national electrical manufacturers association NU 2-2012 Standard. Med Phys. 2019;46(7):3025–33.
Article
PubMed
PubMed Central
Google Scholar
Joshi AD, Pontecorvo MJ, Lu M, Skovronsky DM, Mintun MA, Devous MD Sr. A semiautomated method for quantification of F 18 Florbetapir PET images. J Nucl Med. 2015;56(11):1736–41.
Article
CAS
PubMed
Google Scholar
Nelissen N, Van Laere K, Thurfjell L, Owenius R, Vandenbulcke M, Koole M, et al. Phase 1 study of the Pittsburgh compound B derivative 18F-flutemetamol in healthy volunteers and patients with probable Alzheimer disease. J Nucl Med. 2009;50(8):1251–9.
Article
CAS
PubMed
Google Scholar
Barret O, Alagille D, Sanabria S, Comley RA, Weimer RM, Borroni E, et al. Kinetic Modeling of the Tau PET Tracer 18F-AV-1451 in human healthy volunteers and Alzheimer disease subjects. J Nucl Med. 2017;58(7):1124–31.
Article
CAS
PubMed
Google Scholar
Baratto L, Park SY, Hatami N, Davidzon G, Srinivas S, Gambhir SS, et al. 18F-FDG silicon photomultiplier PET/CT: a pilot study comparing semi-quantitative measurements with standard PET/CT. PLoS One. 2017;12(6):e0178936.
Article
PubMed
PubMed Central
CAS
Google Scholar
Lindström E, Sundin A, Trampal C, Lindsjö L, Ilan E, Danfors T, et al. Evaluation of penalized-likelihood estimation reconstruction on a digital time-of-flight PET/CT scanner for 18F-FDG whole-body examinations. J Nucl Med. 2018;59(7):1152–8.
Article
PubMed
Google Scholar
Takahashi R, Ishii K, Senda M, Ito K, Ishii K, Kato T, et al. Equal sensitivity of early and late scans after injection of FDG for the detection of Alzheimer pattern: an analysis of 3D PET data from J-ADNI, a multi-center study. Ann Nucl Med. 2013;27(5):452–9.
Article
CAS
PubMed
Google Scholar
Garde N, Skripuletz T, Pul R, Berding G, Weissenborn K, Trebst C. Visual hallucinations in Charles Bonnet syndrome can be seen in fluorodeoxyglucose-PET. J Neuropsychiatry Clin Neurosci. 2011;23(4):E38–9.
Article
PubMed
Google Scholar
Kim J, Cho SG, Song M, Kang SR, Kwon SY, Choi KH, et al. Usefulness of 3-dimensional stereotactic surface projection FDG PET images for the diagnosis of dementia. Medicine (Baltimore). 2016;95(49):e5622.
Article
PubMed
PubMed Central
Google Scholar