Minamimoto R. Optimal use of the FDG-PET/CT in the diagnostic process of fever of unknown origin (FUO): a comprehensive review. Japanese J Radiol. 2022;40:1121–37. https://doi.org/10.1007/s11604-022-01306-w.

Article  Google Scholar 

Petersdorf Rg Fau -, Beeson PB, Beeson PB. Fever of unexplained origin: report on 100 cases. Med (Baltim). 1961;40:1–30. https://doi.org/10.1097/00005792-196102000-00001.

Article  Google Scholar 

Unger M, Karanikas G, Kerschbaumer A, Winkler S, Aletaha D. Fever of unknown origin (FUO) revised. Wiener Klinische Wochenschrift. 2016;128:796–801. https://doi.org/10.1007/s00508-016-1083-9.

Article  PubMed  PubMed Central  Google Scholar 

Wright WFAP. Fever and fever of unknown origin (FUO): review, recent advances, and lingering dogma. Open Forum Infect Dis. 2020;7:ofaa132. https://doi.org/10.1093/ofid/ofaa132/5828054.

Article  PubMed  PubMed Central  Google Scholar 

Palestro CJ, Brandon DC, Dibble EH, Keidar Z, Kwak JJ. FDG PET in evaluation of patients with fever of unknown origin: AJR Expert Panel Narrative Review. Am J Roentgenol. 2023;221:151–62. https://doi.org/10.2214/ajr.22.28726.

Article  Google Scholar 

Mourad OPV, Detsky AS. A comprehensive evidence-based approach to fever of unknown origin. Arch Intern Med. 2003;163:545–51. https://doi.org/10.1001/archinte.163.5.545.

Article  PubMed  Google Scholar 

Hayakawa K, Ramasamy B, Chandrasekar PH. Fever of unknown origin: an evidence-based review. Am J Med Sci. 2012;344:307–16. https://doi.org/10.1097/MAJ.0b013e31824ae504.

Article  PubMed  Google Scholar 

Wu M, Wulipan F, Ma J, Qian W, Sun S, Chen P, et al. Clinical characteristics and prognostic factors of lymphoma patients initially presenting with fever of unknown origin. Am J Transl Res. 2022;14:2625–36.

CAS  PubMed  PubMed Central  Google Scholar 

Chen J, Xu D, Sun W-J, Wang W-X, Xie N-N, Ruan Q-R, et al. Differential diagnosis of lymphoma with 18F-FDG PET/CT in patients with fever of unknown origin accompanied by lymphadenopathy. J Cancer Res Clin Oncol. 2023;149:7187–96. https://doi.org/10.1007/s00432-023-04665-7.

Article  PubMed  PubMed Central  Google Scholar 

Fiterman N, Berkman N, Kuint R. Predictors of malignant lymph node involvement in patients with mediastinal lymphadenopathy and previous cancer: a cohort study. Thorac Cancer. 2022;13:631–6. https://doi.org/10.1111/1759-7714.14311.

Article  PubMed  PubMed Central  Google Scholar 

Wang M, Liu L, Dai Q, Jin M, Huang G. Developing a primary tumor and lymph node 18F-FDG PET/CT-clinical (TLPC) model to predict lymph node metastasis of resectable T2-4 NSCLC. J Cancer Res Clin Oncol. 2022;149:247–61. https://doi.org/10.1007/s00432-022-04545-6.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Wang W-X, Cheng Z-T, Zhu J-L, Xing M-Y, Zheng C-F, Wang S-J, et al. Combined clinical parameters improve the diagnostic efficacy of 18F-FDG PET/CT in patients with fever of unknown origin (FUO) and inflammation of unknown origin (IUO): a prospective study in China. Int J Infect Dis. 2020;93:77–83. https://doi.org/10.1016/j.ijid.2020.01.030.

Article  CAS  PubMed  Google Scholar 

Wright WF, Auwaerter PG, Dibble EH, Rowe SP, Mackowiak PA. Imaging a fever-redefining the role of 2-deoxy-2-[18F]Fluoro-D-Glucose-Positron Emission Tomography/Computed Tomography in Fever of unknown origin investigations. Clin Infect Dis. 2021;72:1279–86. https://doi.org/10.1093/cid/ciaa1220.

Article  CAS  PubMed  Google Scholar 

Letertre S, Fesler P, Zerkowski L, Picot M-C, Ribstein J, Guilpain P, et al. Place of the 18F-FDG-PET/CT in the diagnostic workup in patients with classical fever of unknown origin (FUO). J Clin Med. 2021;10:3831. https://doi.org/10.3390/jcm10173831.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Wang Q, Li Y-M, Li Y, Hua F-C, Wang Q-S, Zhang X-L, et al. 18F-FDGPET/CT in fever of unknown origin and inflammation of unknown origin: a Chinese multi-center study. Eur J Nucl Med Mol Imaging. 2018;46:159–65. https://doi.org/10.1007/s00259-018-4121-1.

Article  CAS  PubMed  Google Scholar 

Bharucha T, Rutherford A, Skeoch S, Alavi A, Brown M, Galloway J, et al. Diagnostic yield of FDG-PET/CT in fever of unknown origin: a systematic review, meta-analysis, and Delphi exercise. Clin Radiol. 2017;72:764–71. https://doi.org/10.1016/j.crad.2017.04.014.

Article  CAS  PubMed  Google Scholar 

Takeuchi M, Nihashi T, Gafter-Gvili A, García-Gómez FJ, Andres E, Blockmans D, et al. Association of 18F-FDG PET or PET/CT results with spontaneous remission in classic fever of unknown origin. Medicine. 2018;97:e12909. https://doi.org/10.1097/md.0000000000012909.

Article  PubMed  PubMed Central  Google Scholar 

Lo ACQ, Lo CCW. Value of 18F-FDG PET in the assessment of children with fever of unknown origin: a meta-analysis of diagnostic test accuracy. Pediatr Radiol. 2022;52:2650–2. https://doi.org/10.1007/s00247-022-05525-1.

Article  PubMed  Google Scholar 

Makis W, Ciarallo A, Gonzalez-Verdecia M, Probst S. Systemic Lupus Erythematosus Associated pitfalls on 18F-FDG PET/CT: reactive Follicular Hyperplasia, Kikuchi-Fujimoto Disease, inflammation and Lymphoid Hyperplasia of the Spleen Mimicking Lymphoma. Nuclear Med Mol Imaging. 2017;52:74–9. https://doi.org/10.1007/s13139-017-0471-z.

Article  CAS  Google Scholar 

Nawwar AA, Searle J, Hodby K, Chavda ND, Qamhia N, Lyburn ID. [18F]FDG-PET/CT demonstration of Young Adult Onset stills Disease mimicking lymphoma. BJR|case Rep. 2022;8:20210195. https://doi.org/10.1259/bjrcr.20210195.

Article  PubMed  PubMed Central  Google Scholar 

Kaiser L, Quach S, Zounek AJ, Wiestler B, Zatcepin A, Holzgreve A, et al. Enhancing predictability of IDH mutation status in glioma patients at initial diagnosis: a comparative analysis of radiomics from MRI, [(18)F]FET PET, and TSPO PET. Eur J Nucl Med Mol Imaging. 2024;51:2371–81. https://doi.org/10.1007/s00259-024-06654-5.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Lambin P, Rios-Velazquez E, Leijenaar R, Carvalho S, van Stiphout RGPM, Granton P, et al. Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer. 2012;48:441–6. https://doi.org/10.1016/j.ejca.2011.11.036.

Article  PubMed  PubMed Central  Google Scholar 

Jing F, Liu Y, Zhao X, Wang N, Dai M, Chen X, et al. Baseline (18)F-FDG PET/CT radiomics for prognosis prediction in diffuse large B cell lymphoma. EJNMMI Res. 2023;13:92. https://doi.org/10.1186/s13550-023-01047-5.

Article  PubMed  PubMed Central  Google Scholar 

Huang W, Son MH, Ha LN, Kang L, Cai W. More than meets the eye: 2-[(18)F]FDG PET-based radiomics predicts lymph node metastasis in colorectal cancer patients to enable precision medicine. Eur J Nucl Med Mol Imaging. 2024;51:1725–8. https://doi.org/10.1007/s00259-024-06664-3.

Article  PubMed  Google Scholar 

Pepponi M, Berti V, Fasciglione E, Montanini F, Canu L, Hubele F, et al. [(68)Ga]DOTATOC PET-derived radiomics to predict genetic background of head and neck paragangliomas: a pilot investigation. Eur J Nucl Med Mol Imaging. 2024;51:2684–94. https://doi.org/10.1007/s00259-024-06735-5.

Article  CAS  PubMed  Google Scholar 

Jing F, Zhang X, Liu Y, Chen X, Zhao J, Zhao X, et al. Baseline (18)F-FDG PET/CT radiomics for prognosis prediction in diffuse large B cell lymphoma with extranodal involvement. Clin Transl Oncol. 2024. https://doi.org/10.1007/s12094-024-03633-y.

Article  PubMed  Google Scholar 

Zhang J, Zhao X, Zhao Y, Zhang J, Zhang Z, Wang J, et al. Value of pre-therapy (18)F-FDG PET/CT radiomics in predicting EGFR mutation status in patients with non-small cell lung cancer. Eur J Nucl Med Mol Imaging. 2020;47:1137–46. https://doi.org/10.1007/s00259-019-04592-1.

Article  CAS  PubMed  Google Scholar 

Nair JKR, Saeed UA, McDougall CC, Sabri A, Kovacina B, Raidu BVS, et al. Radiogenomic Models Using Machine Learning Techniques to predict EGFR mutations in Non-small Cell Lung Cancer. Can Assoc Radiol J. 2020;72:109–19. https://doi:10.1177/0846537119899526.

Article  PubMed  Google Scholar 

van Rijsewijk ND, Ijpma FFA, Wouthuyzen-Bakker M, Glaudemans AWJM. Molecular Imaging of Fever of unknown o