Aerts HJ, Velazquez ER, Leijenaar RT, Parmar C, Grossmann P, Carvalho S et al (2014) Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun 5:4006
Article
CAS
PubMed
Google Scholar
Alberts I, Hunermund JN, Prenosil G, Mingels C, Bohn KP, Viscione M et al (2021) Clinical performance of long axial field of view PET/CT: a head-to-head intra-individual comparison of the Biograph Vision Quadra with the Biograph Vision PET/CT. Eur J Nucl Med Mol Imaging 48(8):2395–2404
Article
CAS
PubMed
PubMed Central
Google Scholar
Arabi H, Zaidi H (2021) Non-local mean denoising using multiple PET reconstructions. Ann Nucl Med 35(2):176–186
Article
PubMed
Google Scholar
Arts RJ, Gresnigt MS, Joosten LA, Netea MG (2017) Cellular metabolism of myeloid cells in sepsis. J Leukoc Biol 101(1):151–164
Article
CAS
PubMed
Google Scholar
Arts RJW, Moorlag S, Novakovic B, Li Y, Wang SY, Oosting M et al (2018) BCG vaccination protects against experimental viral infection in humans through the induction of cytokines associated with trained immunity. Cell Host Microbe 23(1):89-100.e5
Article
CAS
PubMed
Google Scholar
Badawi RD, Shi H, Hu P, Chen S, Xu T, Price PM et al (2019) First human imaging studies with the EXPLORER total-body PET scanner. J Nucl Med 60(3):299–303
Article
CAS
PubMed
PubMed Central
Google Scholar
Bekkering S, Blok BA, Joosten LA, Riksen NP, van Crevel R, Netea MG (2016a) In vitro experimental model of trained innate immunity in human primary monocytes. Clin Vaccine Immunol 23(12):926–933
Article
CAS
PubMed
PubMed Central
Google Scholar
Bekkering S, van den Munckhof I, Nielen T, Lamfers E, Dinarello C, Rutten J et al (2016b) Innate immune cell activation and epigenetic remodeling in symptomatic and asymptomatic atherosclerosis in humans in vivo. Atherosclerosis 254:228–236
Article
CAS
PubMed
Google Scholar
Bekkering S, Arts RJW, Novakovic B, Kourtzelis I, van der Heijden C, Li Y et al (2018) Metabolic induction of trained immunity through the mevalonate pathway. Cell 172(1–2):135–46.e9
Article
CAS
PubMed
Google Scholar
Bekkering S, Stiekema LCA, Bernelot Moens S, Verweij SL, Novakovic B, Prange K et al (2019) Treatment with statins does not revert trained immunity in patients with familial hypercholesterolemia. Cell Metab 30(1):1–2
Article
CAS
PubMed
Google Scholar
Bergeron M, Cadorette J, Tetrault MA, Beaudoin JF, Leroux JD, Fontaine R et al (2014) Imaging performance of LabPET APD-based digital PET scanners for pre-clinical research. Phys Med Biol 59(3):661–678
Article
PubMed
Google Scholar
Bernelot Moens SJ, Stoekenbroek RM, van der Valk FM, Verweij SL, Koelemay MJ, Verberne HJ et al (2016) Carotid arterial wall inflammation in peripheral artery disease is augmented by type 2 diabetes: a cross-sectional study. BMC Cardiovasc Disord 16(1):237
Article
PubMed
PubMed Central
CAS
Google Scholar
Berrevoets MAH, Kouijzer IJE, Slieker K, Aarntzen E, Kullberg BJ, Oever JT et al (2019) (18)F-FDG PET/CT-guided treatment duration in patients with high-risk Staphylococcus aureus bacteremia: a proof of principle. J Nucl Med 60(7):998–1002
Article
CAS
PubMed
Google Scholar
Bucerius J, Mani V, Moncrieff C, Rudd JH, Machac J, Fuster V et al (2012) Impact of noninsulin-dependent type 2 diabetes on carotid wall 18F-fluorodeoxyglucose positron emission tomography uptake. J Am Coll Cardiol 59(23):2080–2088
Article
PubMed
PubMed Central
Google Scholar
Bucerius J, Mani V, Wong S, Moncrieff C, Izquierdo-Garcia D, Machac J et al (2014) Arterial and fat tissue inflammation are highly correlated: a prospective 18F-FDG PET/CT study. Eur J Nucl Med Mol Imaging 41(5):934–945
Article
PubMed
PubMed Central
Google Scholar
Buther F, Vehren T, Schafers KP, Schafers M (2016) Impact of data-driven respiratory gating in clinical PET. Radiology 281(1):229–238
Article
PubMed
Google Scholar
Camacho DM, Collins KM, Powers RK, Costello JC, Collins JJ (2018) Next-generation machine learning for biological networks. Cell 173(7):1581–1592
Article
CAS
PubMed
Google Scholar
Chakfe N, Diener H, Lejay A, Assadian O, Berard X, Caillon J et al (2020) Editor’s Choice—European Society for Vascular Surgery (ESVS) 2020 clinical practice guidelines on the management of vascular graft and endograft infections. Eur J Vasc Endovasc Surg 59(3):339–384
Article
PubMed
Google Scholar
Chavakis T, Mitroulis I, Hajishengallis G (2019) Hematopoietic progenitor cells as integrative hubs for adaptation to and fine-tuning of inflammation. Nat Immunol 20(7):802–811
Article
CAS
PubMed
PubMed Central
Google Scholar
Cheng SC, Scicluna BP, Arts RJ, Gresnigt MS, Lachmandas E, Giamarellos-Bourboulis EJ et al (2016) Broad defects in the energy metabolism of leukocytes underlie immunoparalysis in sepsis. Nat Immunol 17(4):406–413
Article
CAS
PubMed
Google Scholar
Chiossone L, Dumas PY, Vienne M, Vivier E (2018) Natural killer cells and other innate lymphoid cells in cancer. Nat Rev Immunol 18(11):671–688
Article
CAS
PubMed
Google Scholar
Chirillo F (2021) New approach to managing infective endocarditis. Trends Cardiovasc Med 31(5):277–286
Article
PubMed
Google Scholar
Choe J, Lee SM, Do KH, Lee G, Lee JG, Lee SM et al (2019) Deep learning-based image conversion of CT reconstruction kernels improves radiomics reproducibility for pulmonary nodules or masses. Radiology 292(2):365–373
Article
PubMed
Google Scholar
Colling R, Pitman H, Oien K, Rajpoot N, Macklin P, Group CM-PAiHW et al (2019) Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice. J Pathol 249(2):143–150
Article
PubMed
Google Scholar
Cui J, Gong K, Guo N, Wu C, Meng X, Kim K et al (2019) PET image denoising using unsupervised deep learning. Eur J Nucl Med Mol Imaging 46(13):2780–2789
Article
PubMed
PubMed Central
Google Scholar
Currie G, Hawk KE (2021) Ethical and legal challenges of artificial intelligence in nuclear medicine. Semin Nucl Med 51(2):120–125
Article
PubMed
Google Scholar
Currie G, Rohren E (2021) Intelligent imaging in nuclear medicine: the principles of artificial intelligence, machine learning and deep learning. Semin Nucl Med 51(2):102–111
Article
PubMed
Google Scholar
de Vos BD, Berendsen FF, Viergever MA, Sokooti H, Staring M, Isgum I (2019) A deep learning framework for unsupervised affine and deformable image registration. Med Image Anal 52:128–143
Article
PubMed
Google Scholar
de Vries EF, Roca M, Jamar F, Israel O, Signore A (2010) Guidelines for the labelling of leucocytes with (99m)Tc-HMPAO Inflammation/Infection. Taskgroup of the European Association of Nuclear Medicine. Eur J Nucl Med Mol Imaging 37(4):842–848
Article
PubMed
PubMed Central
Google Scholar
Decuyper M, Maebe J, Van Holen R, Vandenberghe S (2021) Artificial intelligence with deep learning in nuclear medicine and radiology. EJNMMI Phys 8(1):81
Article
PubMed
PubMed Central
Google Scholar
Denny JC, Collins FS (2021) Precision medicine in 2030-seven ways to transform healthcare. Cell 184(6):1415–1419
Article
CAS
PubMed
Google Scholar
Dietze MMA, Branderhorst W, Kunnen B, Viergever MA, de Jong H (2019) Accelerated SPECT image reconstruction with FBP and an image enhancement convolutional neural network. EJNMMI Phys 6(1):14
Article
PubMed
PubMed Central
Google Scholar
Dominguez-Andres J, Netea MG (2019) Long-term reprogramming of the innate immune system. J Leukoc Biol 105(2):329–338
Article
CAS
PubMed
Google Scholar
Ebrahimian S, Digumarthy S, Bizzo B, Primak A, Zimmermann M, Tarbiah MM et al (2021) Artificial intelligence has similar performance to subjective assessment of emphysema severity on chest CT. Acad Radiol. https://doi.org/10.1016/j.acra.2021.09.007
Article
PubMed
Google Scholar
Emami H, Singh P, MacNabb M, Vucic E, Lavender Z, Rudd JH et al (2015) Splenic metabolic activity predicts risk of future cardiovascular events: demonstration of a cardiosplenic axis in humans. JACC Cardiovasc Imaging 8(2):121–130
Article
PubMed
PubMed Central
Google Scholar
Feng T, Wang J, Dong Y, Zhao J, Li H (2019) A novel data-driven cardiac gating signal extraction method for PET. IEEE Trans Med Imaging 38(2):629–637
Article
PubMed
Google Scholar
Filippi L, Schillaci O (2022) Total-body [(18)F]FDG PET/CT scan has stepped into the arena: the faster, the better. Is it always true? Eur J Nucl Med Mol Imaging. https://doi.org/10.1007/s00259-022-05791-z
Article
PubMed
Google Scholar
Flint TR, Fearon DT, Janowitz T (2017) Connecting the metabolic and immune responses to cancer. Trends Mol Med 23(5):451–464
Article
CAS
PubMed
Google Scholar
Gaber T, Strehl C, Buttgereit F (2017) Metabolic regulation of inflammation. Nat Rev Rheumatol 13(5):267–279
Article
PubMed
Google Scholar
Gillies RJ, Kinahan PE, Hricak H (2016) Radiomics: images are more than pictures, they are data. Radiology 278(2):563–577
Article
PubMed
Google Scholar
Gong K, Guan J, Liu CC, Qi J (2019) PET image denoising using a deep neural network through fine tuning. IEEE Trans Radiat Plasma Med Sci 3(2):153–161
Article
PubMed
Google Scholar
Habib G, Lancellotti P, Antunes MJ, Bongiorni MG, Casalta JP, Del Zotti F et al (2015) ESC Guidelines for the management of infective endocarditis: the Task Force for the Management of Infective Endocarditis of the European Society of Cardiology (ESC). Endorsed by: European Association for Cardio-Thoracic Surgery (EACTS), the European Association of Nuclear Medicine (EANM). Eur Heart J 36(44):3075–3128
Article
PubMed
Google Scholar
Haggstrom I, Schmidtlein CR, Campanella G, Fuchs TJ (2019) DeepPET: a deep encoder-decoder network for directly solving the PET image reconstruction inverse problem. Med Image Anal 54:253–262
Article
PubMed
PubMed Central
Google Scholar
Hatt M, Cheze Le Rest C, Antonorsi N, Tixier F, Tankyevych O, Jaouen V et al (2021) Radiomics in PET/CT: current status and future AI-based evolutions. Semin Nucl Med 51(2):126–133
Article
PubMed
Google Scholar
He J, Baxter SL, Xu J, Xu J, Zhou X, Zhang K (2019) The practical implementation of artificial intelligence technologies in medicine. Nat Med 25(1):30–36
Article
CAS
PubMed
PubMed Central
Google Scholar
He W, Wang Y, Liang X, Zhou W, Zhu M, Han X et al (2021) High-performance coded aperture gamma camera based on monolithic GAGG: Ce crystal. Rev Sci Instrum 92(1):013106
Article
CAS
PubMed
Google Scholar
Hipfl C, Mooij W, Perka C, Hardt S, Wassilew GI (2021) Unexpected low-grade infections in revision hip arthroplasty for aseptic loosening : a single-institution experience of 274 hips. Bone Joint J 103-B(6):1070–1077
Article
PubMed
Google Scholar
Hosny A, Parmar C, Quackenbush J, Schwartz LH, Aerts H (2018) Artificial intelligence in radiology. Nat Rev Cancer 18(8):500–510
Article
CAS
PubMed
PubMed Central
Google Scholar
Hotamisligil GS (2017) Inflammation, metaflammation and immunometabolic disorders. Nature 542(7640):177–185
Article
CAS
PubMed
Google Scholar
Hotchkiss RS, Monneret G, Payen D (2013) Sepsis-induced immunosuppression: from cellular dysfunctions to immunotherapy. Nat Rev Immunol 13(12):862–874
Article
CAS
PubMed
PubMed Central
Google Scholar
Hotchkiss RS, Moldawer LL, Opal SM, Reinhart K, Turnbull IR, Vincent JL (2016) Sepsis and septic shock. Nat Rev Dis Primers 2:16045
Article
PubMed
PubMed Central
Google Scholar
Jaltotage B, Ali U, Dorai-Raj A, Rankin J, Sanfilippo F, Dwivedi G (2021) Q fever endocarditis: a review of local and all reported cases in the literature. Heart Lung Circ 30(10):1509–1515
Article
PubMed
Google Scholar
Jamar F, Buscombe J, Chiti A, Christian PE, Delbeke D, Donohoe KJ et al (2013) EANM/SNMMI guideline for 18F-FDG use in inflammation and infection. J Nucl Med 54(4):647–658
Article
PubMed
Google Scholar
Joseph P, Ishai A, Mani V, Kallend D, Rudd JH, Fayad ZA et al (2017) Short-term changes in arterial inflammation predict long-term changes in atherosclerosis progression. Eur J Nucl Med Mol Imaging 44(1):141–150
Article
CAS
PubMed
Google Scholar
Kalafati L, Kourtzelis I, Schulte-Schrepping J, Li X, Hatzioannou A, Grinenko T et al (2020) Innate immune training of granulopoiesis promotes anti-tumor activity. Cell 183(3):771-8512.e12
Article
CAS
PubMed
PubMed Central
Google Scholar
Kaplan S, Zhu YM (2019) Full-dose PET image estimation from low-dose PET image using deep learning: a pilot study. J Digit Imaging 32(5):773–778
Article
PubMed
Google Scholar
Kaufmann SHE, Dorhoi A, Hotchkiss RS, Bartenschlager R (2018) Host-directed therapies for bacterial and viral infections. Nat Rev Drug Discov 17(1):35–56
Article
CAS
PubMed
Google Scholar
Kidd BA, Peters LA, Schadt EE, Dudley JT (2014) Unifying immunology with informatics and multiscale biology. Nat Immunol 15(2):118–127
Article
CAS
PubMed
PubMed Central
Google Scholar
Kouijzer IJE, van Leerdam EJ, Gompelman M, Tuinte RAM, Aarntzen E, Berrevoets MAH et al (2021) Intravenous to oral switch in complicated Staphylococcus aureus bacteremia without endovascular infection: a retrospective single-center cohort study. Clin Infect Dis 73(5):895–898
Article
CAS
PubMed
PubMed Central
Google Scholar
Laohapensang K, Arworn S, Orrapin S, Reanpang T, Orrapin S (2017) Management of the infected aortic endograft. Semin Vasc Surg 30(2–3):91–94
Article
PubMed
Google Scholar
Laur O, Weaver MJ, Bridge C, Chow E, Rosenthal M, Bay C et al (2021) Computed tomography-based body composition profile as a screening tool for geriatric frailty detection. Skeletal Radiol. https://doi.org/10.1007/s00256-021-03951-0
Article
PubMed
PubMed Central
Google Scholar
LeCun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521(7553):436–444
Article
CAS
PubMed
Google Scholar
Lee YS, Wollam J, Olefsky JM (2018) An integrated view of immunometabolism. Cell 172(1–2):22–40
Article
CAS
PubMed
PubMed Central
Google Scholar
Leentjens J, Bekkering S, Joosten LAB, Netea MG, Burgner DP, Riksen NP (2018) Trained innate immunity as a novel mechanism linking infection and the development of atherosclerosis. Circ Res 122(5):664–669
Article
CAS
PubMed
Google Scholar
Lempiainen H, Braenne I, Michoel T, Tragante V, Vilne B, Webb TR et al (2018) Network analysis of coronary artery disease risk genes elucidates disease mechanisms and druggable targets. Sci Rep 8(1):3434
Article
PubMed
PubMed Central
CAS
Google Scholar
Lercher A, Baazim H, Bergthaler A (2020) Systemic immunometabolism: challenges and opportunities. Immunity 53(3):496–509
Article
CAS
PubMed
PubMed Central
Google Scholar
Libby P, Buring JE, Badimon L, Hansson GK, Deanfield J, Bittencourt MS et al (2019) Atherosclerosis. Nat Rev Dis Primers 5(1):56
Article
PubMed
Google Scholar
Lopez-Otin C, Blasco MA, Partridge L, Serrano M, Kroemer G (2013) The hallmarks of aging. Cell 153(6):1194–1217
Article
CAS
PubMed
PubMed Central
Google Scholar
Makinen VP, Civelek M, Meng Q, Zhang B, Zhu J, Levian C et al (2014) Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet 10(7):e1004502
Article
PubMed
PubMed Central
CAS
Google Scholar
Meijering E, Carpenter AE, Peng H, Hamprecht FA, Olivo-Marin JC (2016) Imagining the future of bioimage analysis. Nat Biotechnol 34(12):1250–1255
Article
CAS
PubMed
Google Scholar
Minarik D, Enqvist O, Tragardh E (2020) Denoising of scintillation camera images using a deep convolutional neural network: a Monte Carlo simulation approach. J Nucl Med 61(2):298–303
Article
PubMed
PubMed Central
Google Scholar
Mulder WJM, Ochando J, Joosten LAB, Fayad ZA, Netea MG (2019) Therapeutic targeting of trained immunity. Nat Rev Drug Discov 18(7):553–566
Article
CAS
PubMed
PubMed Central
Google Scholar
Municio C, Criado G (2020) Therapies targeting trained immune cells in inflammatory and autoimmune diseases. Front Immunol 11:631743
Article
CAS
PubMed
Google Scholar
Netea MG, Joosten LAB (2018) Trained immunity and local innate immune memory in the lung. Cell 175(6):1463–1465
Article
CAS
PubMed
Google Scholar
Netea MG, Dominguez-Andres J, Barreiro LB, Chavakis T, Divangahi M, Fuchs E et al (2020a) Defining trained immunity and its role in health and disease. Nat Rev Immunol 20:375–388
Article
CAS
PubMed
PubMed Central
Google Scholar
Netea MG, Dominguez-Andres J, Barreiro LB, Chavakis T, Divangahi M, Fuchs E et al (2020b) Defining trained immunity and its role in health and disease. Nat Rev Immunol 20(6):375–388
Article
CAS
PubMed
PubMed Central
Google Scholar
Netea MG, Giamarellos-Bourboulis EJ, Dominguez-Andres J, Curtis N, van Crevel R, van de Veerdonk FL et al (2020c) Trained immunity: a tool for reducing susceptibility to and the severity of SARS-CoV-2 infection. Cell 181(5):969–977
Article
CAS
PubMed
PubMed Central
Google Scholar
Norata GD, Caligiuri G, Chavakis T, Matarese G, Netea MG, Nicoletti A et al (2015) The cellular and molecular basis of translational immunometabolism. Immunity 43(3):421–434
Article
CAS
PubMed
Google Scholar
Noz MP, Bekkering S, Groh L, Nielen TM, Lamfers EJ, Schlitzer A et al (2020) Reprogramming of bone marrow myeloid progenitor cells in patients with severe coronary artery disease. Elife. https://doi.org/10.7554/eLife.60939
Article
PubMed
PubMed Central
Google Scholar
O’Neill LAJ, Netea MG (2020) BCG-induced trained immunity: can it offer protection against COVID-19? Nat Rev Immunol 20(6):335–337
Article
CAS
PubMed
PubMed Central
Google Scholar
Orlhac F, Boughdad S, Philippe C, Stalla-Bourdillon H, Nioche C, Champion L et al (2018) A postreconstruction harmonization method for multicenter radiomic studies in PET. J Nucl Med 59(8):1321–1328
Article
CAS
PubMed
Google Scholar
Parmar C, Barry JD, Hosny A, Quackenbush J, Aerts H (2018) Data analysis strategies in medical imaging. Clin Cancer Res 24(15):3492–3499
Article
PubMed
PubMed Central
Google Scholar
Pober JS, Sessa WC (2007) Evolving functions of endothelial cells in inflammation. Nat Rev Immunol 7(10):803–815
Article
CAS
PubMed
Google Scholar
Priem B, van Leent MMT, Teunissen AJP, Sofias AM, Mourits VP, Willemsen L et al (2020) Trained immunity-promoting nanobiologic therapy suppresses tumor growth and potentiates checkpoint inhibition. Cell 183(3):786-801.e19
Article
CAS
PubMed
PubMed Central
Google Scholar
Ringel AE, Drijvers JM, Baker GJ, Catozzi A, Garcia-Canaveras JC, Gassaway BM et al (2020) Obesity shapes metabolism in the tumor microenvironment to suppress anti-tumor immunity. Cell 183(7):1848–66.e26
Article
CAS
PubMed
PubMed Central
Google Scholar
Roca M, de Vries EF, Jamar F, Israel O, Signore A (2010) Guidelines for the labelling of leucocytes with (111)In-oxine Inflammation/Infection. Taskgroup of the European Association of Nuclear Medicine. Eur J Nucl Med Mol Imaging 37(4):835–841
Article
PubMed
PubMed Central
Google Scholar
Rubeaux M, Joshi NV, Dweck MR, Fletcher A, Motwani M, Thomson LE et al (2016) Motion correction of 18F-NaF PET for imaging coronary atherosclerotic plaques. J Nucl Med 57(1):54–59
Article
CAS
PubMed
Google Scholar
Saeedan MB, Wang TKM, Cremer P, Wahadat AR, Budde RPJ, Unai S et al (2021) Role of cardiac CT in infective endocarditis: current evidence, opportunities, and challenges. Radiol Cardiothorac Imaging 3(1):e200378
Article
PubMed
PubMed Central
Google Scholar
Schleyer PJ, O’Doherty MJ, Marsden PK (2011) Extension of a data-driven gating technique to 3D, whole body PET studies. Phys Med Biol 56(13):3953–3965
Article
PubMed
Google Scholar
Schultze JL, consortium S, Rosenstiel P (2018) Systems medicine in chronic inflammatory diseases. Immunity 48(4):608–613
Article
CAS
PubMed
Google Scholar
Schwenck J, Schorg B, Fiz F, Sonanini D, Forschner A, Eigentler T et al (2020) Cancer immunotherapy is accompanied by distinct metabolic patterns in primary and secondary lymphoid organs observed by non-invasive in vivo (18)F-FDG-PET. Theranostics 10(2):925–937
Article
CAS
PubMed
PubMed Central
Google Scholar
Seban RD, Champion L, Muneer I, Synn S, Schwartz LH, Dercle L (2021) Potential theranostic role of bone marrow glucose metabolism on baseline [18F]-FDG PET/CT in metastatic melanoma. J Nucl Med. https://doi.org/10.2967/jnumed.121.262361
Article
PubMed
Google Scholar
Seith F, Forschner A, Weide B, Guckel B, Schwartz M, Schwenck J et al (2020) Is there a link between very early changes of primary and secondary lymphoid organs in (18)F-FDG-PET/MRI and treatment response to checkpoint inhibitor therapy? J Immunother Cancer. https://doi.org/10.1136/jitc-2020-000656
Article
PubMed
PubMed Central
Google Scholar
Shu L, Chan KHK, Zhang G, Huan T, Kurt Z, Zhao Y et al (2017) Shared genetic regulatory networks for cardiovascular disease and type 2 diabetes in multiple populations of diverse ethnicities in the United States. PLoS Genet 13(9):e1007040
Article
PubMed
PubMed Central
CAS
Google Scholar
Signore A, Sconfienza LM, Borens O, Glaudemans A, Cassar-Pullicino V, Trampuz A et al (2019) Consensus document for the diagnosis of prosthetic joint infections: a joint paper by the EANM, EBJIS, and ESR (with ESCMID endorsement). Eur J Nucl Med Mol Imaging 46(4):971–988
Article
PubMed
PubMed Central
Google Scholar
Slart R, Glaudemans A, Lancellotti P, Hyafil F, Blankstein R, Schwartz RG et al (2018a) A joint procedural position statement on imaging in cardiac sarcoidosis: from the Cardiovascular and Inflammation & Infection Committees of the European Association of Nuclear Medicine, the European Association of Cardiovascular Imaging, and the American Society of Nuclear Cardiology. J Nucl Cardiol 25(1):298–319
Article
PubMed
Google Scholar
Slart R, Writing g, Reviewer g, Members of EC, Members of EI, Inflammation et al (2018b) FDG-PET/CT(A) imaging in large vessel vasculitis and polymyalgia rheumatica: joint procedural recommendation of the EANM, SNMMI, and the PET Interest Group (PIG), and endorsed by the ASNC. Eur J Nucl Med Mol Imaging 45(7):1250–1269
Article
PubMed
PubMed Central
Google Scholar
Slart R, Williams MC, Juarez-Orozco LE, Rischpler C, Dweck MR, Glaudemans A et al (2021) Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac CT. Eur J Nucl Med Mol Imaging 48(5):1399–1413
Article
PubMed
PubMed Central
Google Scholar
Spitzer MH, Carmi Y, Reticker-Flynn NE, Kwek SS, Madhireddy D, Martins MM et al (2017) Systemic immunity is required for effective cancer immunotherapy. Cell 168(3):487-502.e15
Article
CAS
PubMed
PubMed Central
Google Scholar
Stiekema LCA, Stroes ESG, Verweij SL, Kassahun H, Chen L, Wasserman SM et al (2019) Persistent arterial wall inflammation in patients with elevated lipoprotein(a) despite strong low-density lipoprotein cholesterol reduction by proprotein convertase subtilisin/kexin type 9 antibody treatment. Eur Heart J 40(33):2775–2781
Article
CAS
PubMed
Google Scholar
Sugimoto MA, Vago JP, Perretti M, Teixeira MM (2019) Mediators of the resolution of the inflammatory response. Trends Immunol 40(3):212–227
Article
CAS
PubMed
Google Scholar
Talha KM, DeSimone DC, Sohail MR, Baddour LM (2020) Pathogen influence on epidemiology, diagnostic evaluation and management of infective endocarditis. Heart 106(24):1878–1882
Article
PubMed
Google Scholar
Ten Hove D, Slart R, Sinha B, Glaudemans A, Budde RPJ (2021) (18)F-FDG PET/CT in infective endocarditis: indications and approaches for standardization. Curr Cardiol Rep 23(9):130
Article
PubMed
PubMed Central
Google Scholar
Thaiss WM, Gatidis S, Sartorius T, Machann J, Peter A, Eigentler TK et al (2021) Noninvasive, longitudinal imaging-based analysis of body adipose tissue and water composition in a melanoma mouse model and in immune checkpoint inhibitor-treated metastatic melanoma patients. Cancer Immunol Immunother 70(5):1263–1275
Article
CAS
PubMed
Google Scholar
Ungar B, Pavel AB, Robson PM, Kaufman A, Pruzan A, Brunner P et al (2020) A preliminary (18)F-FDG-PET/MRI study shows increased vascular inflammation in moderate-to-severe atopic dermatitis. J Allergy Clin Immunol Pract 8:3500–3506
Article
PubMed
PubMed Central
Google Scholar
Uribe CF, Mathotaarachchi S, Gaudet V, Smith KC, Rosa-Neto P, Benard F et al (2019) Machine learning in nuclear medicine: part 1—introduction. J Nucl Med 60(4):451–458
Article
PubMed
Google Scholar
van der Heijden C, Smeets EMM, Aarntzen E, Noz MP, Monajemi H, Kersten S et al (2020) Arterial wall inflammation and increased hematopoietic activity in patients with primary aldosteronism. J Clin Endocrinol Metab. https://doi.org/10.1210/clinem/dgz306
Article
PubMed
PubMed Central
Google Scholar
van der Laak J, Litjens G, Ciompi F (2021) Deep learning in histopathology: the path to the clinic. Nat Med 27(5):775–784
Article
PubMed
CAS
Google Scholar
van der Valk FM, Verweij SL, Zwinderman KA, Strang AC, Kaiser Y, Marquering HA et al (2016) Thresholds for arterial wall inflammation quantified by (18)F-FDG PET imaging: implications for vascular interventional studies. JACC Cardiovasc Imaging 9(10):1198–1207
Article
PubMed
PubMed Central
Google Scholar
van der Valk FM, Kuijk C, Verweij SL, Stiekema LCA, Kaiser Y, Zeerleder S et al (2017) Increased haematopoietic activity in patients with atherosclerosis. Eur Heart J 38(6):425–432
PubMed
Google Scholar
Yang X (2020) Multitissue multiomics systems biology to dissect complex diseases. Trends Mol Med 26(8):718–728
Article
CAS
PubMed
PubMed Central
Google Scholar
Yang J, Sohn JH, Behr SC, Gullberg GT, Seo Y (2021) CT-less direct correction of attenuation and scatter in the image space using deep learning for whole-body FDG PET: potential benefits and pitfalls. Radiol Artif Intell 3(2):e200137
Article
PubMed
Google Scholar
Zatcepin A, Pizzichemi M, Polesel A, Paganoni M, Auffray E, Ziegler SI et al (2020) Improving depth-of-interaction resolution in pixellated PET detectors using neural networks. Phys Med Biol 65(17):175017
Article
CAS
PubMed
Google Scholar
Zukotynski K, Gaudet V, Uribe CF, Mathotaarachchi S, Smith KC, Rosa-Neto P et al (2021) Machine learning in nuclear medicine: part 2—neural networks and clinical aspects. J Nucl Med 62(1):22–29
Article
PubMed
Google Scholar
Zwanenburg A (2019) Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis. Eur J Nucl Med Mol Imaging 46(13):2638–2655
Article
PubMed
Google Scholar