XII Jornada Mineira de Radiologia
Acesse o site do congresso
1º Dia - 6/19/26
2º Dia - 6/20/26

PET-FDG no Linfoma: indicações e inovações com uso da IA Voltar

Pedro Henrique Furst Leite

Curso: Medicina Nuclear - Sessão 3 - Linfomas - Elba Etchebehere e Stephanie Saliba

Artigo Autor(es) Referência
18F-FDG PET Maximum-Intensity Projections and Artificial Intelligence: A Win-Win Combination to Easily Measure Prognostic Biomarkers in DLBCL Patients. Girum Kibrom B, Rebaud Louis, Cottereau Anne-Ségolène, Meignan Michel, Clerc Jérôme, Vercellino Laetitia, Casasnovas Olivier, Morschhauser Franck, Thieblemont Catherine, Buvat Irène Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2022 Dec; 63(Dec):1925-1932. doi: 10.2967/jnumed.121.263501. pii: .
A Systematic Review of the Applications of Deep Learning for the Interpretation of Positron Emission Tomography Images of Patients with Lymphoma. Kanavos Theofilos, Birbas Effrosyni, Zanos Theodoros P Cancers. 2024 Dec; 17(Dec):doi: 10.3390/cancers17010069. pii: 69.
An artificial intelligence method using FDG PET to predict treatment outcome in diffuse large B cell lymphoma patients. Ferrández Maria C, Golla Sandeep S V, Eertink Jakoba J, de Vries Bart M, Lugtenburg Pieternella J, Wiegers Sanne E, Zwezerijnen Gerben J C, Pieplenbosch Simone, Kurch Lars, Hüttmann Andreas, Hanoun Christine, Dührsen Ulrich, de Vet Henrica C W, , Zijlstra Josée M, Boellaard Ronald Scientific reports. 2023 Aug; 13(Aug):13111. doi: 10.1038/s41598-023-40218-1. pii: 13111.
Artificial Intelligence for Tumor [18F]FDG PET Imaging: Advancements and Future Trends - Part II. Safarian Alireza, Mirshahvalad Seyed Ali, Farbod Abolfazl, Jung Theresa, Nasrollahi Hadi, Schweighofer-Zwink Gregor, Rendl Gundula, Pirich Christian, Vali Reza, Beheshti Mohsen Seminars in nuclear medicine. 2025 Sep; 55(Sep):856-868. doi: 10.1053/j.semnuclmed.2025.06.012. pii: S0001-2998(25)00086-8.
Artificial Intelligence in Lymphoma PET Imaging:: A Scoping Review (Current Trends and Future Directions). Hasani Navid, Paravastu Sriram S, Farhadi Faraz, Yousefirizi Fereshteh, Morris Michael A, Rahmim Arman, Roschewski Mark, Summers Ronald M, Saboury Babak PET clinics. 2022 Jan; 17(Jan):145-174. doi: 10.1016/j.cpet.2021.09.006. pii: S1556-8598(21)00075-4.
Artificial intelligence in oncological positron emission tomography: advancing image analysis and interpretation. Nakajo M, Hirahara D, Hirahara M, Eizuru Y, Tani A, Kanzaki F, Takumi K, Kamimura K, Yoshiura T Clinical radiology. 2026 Jan; 92(Jan):107187. doi: 10.1016/j.crad.2025.107187. pii: S0009-9260(25)00392-7.
Deep learning for [18F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis. Häggström Ida, Leithner Doris, Alvén Jennifer, Campanella Gabriele, Abusamra Murad, Zhang Honglei, Chhabra Shalini, Beer Lucian, Haug Alexander, Salles Gilles, Raderer Markus, Staber Philipp B, Becker Anton, Hricak Hedvig, Fuchs Thomas J, Schöder Heiko, Mayerhoefer Marius E The Lancet. Digital health. 2024 Feb; 6(Feb):e114-e125. doi: 10.1016/S2589-7500(23)00203-0. pii: S2589-7500(23)00203-0.
Enhancing Lymphoma Diagnosis, Treatment, and Follow-Up Using 18F-FDG PET/CT Imaging: Contribution of Artificial Intelligence and Radiomics Analysis. Hasanabadi Setareh, Aghamiri Seyed Mahmud Reza, Abin Ahmad Ali, Abdollahi Hamid, Arabi Hossein, Zaidi Habib Cancers. 2024 Oct; 16(Oct):doi: 10.3390/cancers16203511. pii: 3511.
Performance of AI methods in PET-based imaging for outcome prediction in lymphoma: A systematic review and meta-analysis. Mehrabi Nejad Mohammad Mehdi, Ghanbari Boroujeni Mohammad Reza, Hayati Alireza, Dashti Fatemeh, Udupa Jayaram K, Torigian Drew A European journal of radiology. 2025 Jun; 190(Jun):112204. doi: 10.1016/j.ejrad.2025.112204. pii: S0720-048X(25)00290-6.
Validation of an AI Method for Automated Lymphoma Metabolic Tumor Volume Segmentation Using a Public Benchmark PET/CT Dataset. Sadik May, Larsson Måns, Enqvist Olof, Edenbrandt Lars, Trägårdh Elin Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2026 Mar; doi: 10.2967/jnumed.125.271605. pii: jnumed.125.271605.
Nenhuma revista foi definida para este congresso.