Peng L, Liao Y, Zhou R, Zhong Y, Jiang H, Wang J, et al. [18F] FDG PET/MRI combined with chest HRCT in early cancer detection: a retrospective study of 3020 asymptomatic subjects. Eur J Nucl Med Mol Imaging. 2023;50:3723–34.

Chételat G, Arbizu J, Barthel H, Garibotto V, Law I, Morbelli S, et al. Amyloid-PET and 18F-FDG-PET in the diagnostic investigation of Alzheimer’s disease and other dementias. The Lancet Neurology. 2020;19:951–62.

Article  PubMed  Google Scholar 

Fu Y, Dong S, Niu M, Xue L, Guo H, Huang Y, et al. AIGAN: attention–encoding integrated generative adversarial network for the reconstruction of low-dose CT and low-dose PET images. Med Image Anal. 2023;86: 102787.

Article  PubMed  Google Scholar 

Alavi A, Houshmand S, Werner TJ, Zaidi H. Potential applications of PET-based novel quantitative techniques in pediatric diseases and disorders. PET clinics. 2020;15:281–4.

Article  PubMed  Google Scholar 

Xu Y-F, Yang J-G. Roles of F-18-fluoro-2-deoxy-glucose PET/computed tomography scans in the management of post-transplant lymphoproliferative disease in pediatric patient. PET clinics. 2020;15:309–19.

Article  PubMed  Google Scholar 

Nygaard U, Larsen LV, Vissing NH, von Linstow ML, Myrup C, Berthelsen AK, et al. Unexplained fever in children—benefits and challenges of FDG-PET/CT. Acta Paediatr. 2022;111:2203–9.

Article  PubMed  Google Scholar 

Lyra V, Chatziioannou S, Kallergi M. Clinical perspectives for 18F-FDG PET imaging in pediatric oncology: μetabolic tumor volume and radiomics. Metabolites. 2022;12:217.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Masselli G, De Angelis C, Sollaku S, Casciani E, Gualdi G. PET/CT in pediatric oncology. Am J Nucl Med Mol Imaging. 2020;10:83.

CAS  PubMed  PubMed Central  Google Scholar 

Fu Y, Dong S, Liao Y, Xue L, Xu Y, Li F, et al. A resource-efficient deep learning framework for low-dose brain PET image reconstruction and analysis. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI): IEEE. Kolkata, India, 2022;1–5.

Chugani HT, Shewmon DA, Khanna S, Phelps ME. Interictal and postictal focal hypermetabolism on positron emission tomography. Pediatr Neurol. 1993;9:10–5.

Article  CAS  PubMed  Google Scholar 

Jadvar H, Alavi A, Mavi A, Shulkin BL. PET in pediatric diseases. Radiologic. Clinics. 2005;43:135–52.

Google Scholar 

Mandell GA, Cooper JA, Majd M, Shalaby-Rana EI, Gordon I. Procedure guideline for pediatric sedation in nuclear medicine. J Nucl Med. 1997;38:1640–2.

CAS  PubMed  Google Scholar 

Parad RB. Non-sedation of the neonate for radiologic procedures. Pediatr Radiol. 2018;48:524–30.

Article  PubMed  Google Scholar 

Lee K-H, Ko B-H, Paik J-Y, Jung K-H, Choe YS, Choi Y, et al. Effects of anesthetic agents and fasting duration on 18F-FDG biodistribution and insulin levels in tumor-bearing mice. J Nucl Med. 2005;46:1531–6.

CAS  PubMed  Google Scholar 

Olesen OV, Paulsen RR, Hojgaard L, Roed B, Larsen R. Motion tracking for medical imaging: a nonvisible structured light tracking approach. IEEE Trans Med Imaging. 2011;31:79–87.

Article  PubMed  Google Scholar 

Kesner AL, Kuntner C. A new fast and fully automated software based algorithm for extracting respiratory signal from raw PET data and its comparison to other methods. Med Phys. 2010;37:5550–9.

Article  PubMed  Google Scholar 

Aide N, Lasnon C, Desmonts C, Armstrong IS, Walker MD, McGowan DR. Advances in PET/CT technology: an update. Semin Nucl Med. 2022;53:286–301.

Cherry SR, Jones T, Karp JS, Qi J, Moses WW, Badawi RD. Total-body PET: maximizing sensitivity to create new opportunities for clinical research and patient care. J Nucl Med. 2018;59:3–12.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Zhang Y, Hu P, He Y, Yu H, Tan H, Liu G, et al. Ultrafast 30-s total-body PET/CT scan: a preliminary study. Eur J Nucl Med Mol Imaging. 2022;49:2504–13.

Article  CAS  PubMed  Google Scholar 

Dong S, Pan Z, Fu Y, Yang Q, Gao Y, Yu T, et al. DeU-Net 2.0: enhanced deformable U-Net for 3D cardiac cine MRI segmentation. Medical Image Analysis. 2022;78:102389.

Article  PubMed  Google Scholar 

Dong S, Yang Q, Fu Y, Tian M, Zhuo C. RCoNet: deformable mutual information maximization and high-order uncertainty-aware learning for robust COVID-19 detection. IEEE Trans Neural Netw Learn Syst. 2021;32:3401–11.

Article  PubMed  Google Scholar 

Dong S, Pan Z, Fu Y, Xu D, Shi K, Yang Q, et al. Partial unbalanced feature transport for cross-modality cardiac image segmentation. IEEE Trans Med Imaging. 2023;42:1758-1773.

Dong S, Zhao J, Zhang M, Shi Z, Deng J, Shi Y, et al. DeU-Net: deformable U-Net for 3D cardiac MRI video segmentation. Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part IV 23: Springer. 2020;98–107.

Liu K, Tang W, Zhou F, Qiu G. Spectral regularization for combating mode collapse in gans. Proceedings of the IEEE/CVF International Conference on Computer Vision. 2019;6382–90.

Reader AJ, Corda G, Mehranian A, da Costa-Luis C, Ellis S, Schnabel JA. Deep learning for PET image reconstruction. IEEE Trans Radiat Plasma Med Sci. 2020;5:1–25.

Article  Google Scholar 

Chen KT, Gong E, de Carvalho Macruz FB, Xu J, Boumis A, Khalighi M, et al. Ultra–low-dose 18F-florbetaben amyloid PET imaging using deep learning with multi-contrast MRI inputs. Radiology. 2019;290:649–56.

Article  PubMed  Google Scholar 

Chen KT, Toueg TN, Koran MEI, Davidzon G, Zeineh M, Holley D, et al. True ultra-low-dose amyloid PET/MRI enhanced with deep learning for clinical interpretation. Eur J Nucl Med Mol Imaging. 2021;48:2416–25.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sanaat A, Shiri I, Arabi H, Mainta I, Nkoulou R, Zaidi H. Deep learning-assisted ultra-fast/low-dose whole-body PET/CT imaging. Eur J Nucl Med Mol Imaging. 2021;48:2405–15.

Article  PubMed  PubMed Central  Google Scholar 

Chaudhari AS, Mittra E, Davidzon GA, Gulaka P, Gandhi H, Brown A, et al. Low-count whole-body PET with deep learning in a multicenter and externally validated study. NPJ digital medicine. 2021;4:127.

Article  PubMed  PubMed Central  Google Scholar 

Lei Y, Dong X, Wang T, Higgins K, Liu T, Curran WJ, et al. Whole-body PET estimation from low count statistics using cycle-consistent generative adversarial networks. Phys Med Biol. 2019;64: 215017.

Article  PubMed  PubMed Central  Google Scholar 

Hosch R, Weber M, Sraieb M, Flaschel N, Haubold J, Kim M-S, et al. Artificial intelligence guided enhancement of digital PET: scans as fast as CT? Eur J Nucl Med Mol Imaging. 2022;49:4503–15.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Vinson AE, Houck CS. Neurotoxicity of anesthesia in children: prevention and treatment. Curr Treat Options Neurol. 2018;20:1–10.

Article  Google Scholar 

Kessler M, Mamach M, Beutelmann R, Bankstahl J, Bengel F, Klump G, et al. Activation in the auditory pathway of the gerbil studied with 18 F-FDG PET: effects of anesthesia. Brain Struct Funct. 2018;223:4293–305.

Article  CAS  PubMed  Google Scholar 

Liu X, Ji J, Zhao G-Q. General anesthesia affecting on developing brain: evidence from animal to clinical research. J Anesth. 2020;34:765–72.

Article  PubMed  PubMed Central  Google Scholar 

Vali R, Alessio A, Balza R, Borgwardt L, Bar-Sever Z, Czachowski M, et al. SNMMI procedure standard/EANM practice guideline on pediatric 18F-FDG PET/CT for oncology 1.0. J Nucl Med. 2021;62:99–110.

Alessio AM, Sammer M, Phillips GS, Manchanda V, Mohr BC, Parisi MT. Evaluation of optimal acquisition duration or injected activity for pediatric 18F-FDG PET/CT. J Nucl Med. 2011;52:1028–34.

Article  PubMed  Google Scholar 

Reichkendler M, Andersen FL, Borgwardt L, Nygaard U, Albrecht-Beste E, Andersen KF, et al. A long axial field of view enables PET/CT in toddler without sedation. J Nucl Med. 2022;63;1962

Rufini V, Garganese G, Ieria FP, Pasciuto T, Fragomeni SM, Gui B, et al. Diagnostic performance of preoperative [18 F] FDG-PET/CT for lymph node staging in vulvar cancer: a large single-centre study. Eur J Nucl Med Mol Imaging. 2021;48:3303–14.

Article  CAS  PubMed  PubMed Central  Google Scholar