Enhancing Lymphoma Diagnosis, Treatment, and Follow-Up Using ¹⁸F-FDG PET/CT Imaging: Contribution of Artificial Intelligence and Radiomics Analysis
department or school: Medicine, Faculty of
department or school: Non UBC
department or school: Radiology, Department of
data provider: DSpace
identifier citation: Cancers 16 (20): 3511 (2024)
contributor: BC Cancer Research Centre. Integrative Oncology
creator: Hasanabadi, Setareh
creator: Aghamiri, Seyed Mahmud Reza
creator: Abin, Ahmad Ali
creator: Abdollahi, Hamid
creator: Arabi, Hossein
creator: Zaidi, Habib
issued: 2024-10-28T16:07:34Z
issued: 2024-10-17
description: Lymphoma, encompassing a wide spectrum of immune system malignancies, presents significant complexities in its early detection, management, and prognosis assessment since it can mimic post-infectious/inflammatory diseases. The heterogeneous nature of lymphoma makes it challenging to definitively pinpoint valuable biomarkers for predicting tumor biology and selecting the most effective treatment strategies. Although molecular imaging modalities, such as positron emission tomography/computed tomography (PET/CT), specifically ¹⁸F-FDG PET/CT, hold significant importance in the diagnosis of lymphoma, prognostication, and assessment of treatment response, they still face significant challenges. Over the past few years, radiomics and artificial intelligence (AI) have surfaced as valuable tools for detecting subtle features within medical images that may not be easily discerned by visual assessment. The rapid expansion of AI and its application in medicine/radiomics is opening up new opportunities in the nuclear medicine field. Radiomics and AI capabilities seem to hold promise across various clinical scenarios related to lymphoma. Nevertheless, the need for more extensive prospective trials is evident to substantiate their reliability and standardize their applications. This review aims to provide a comprehensive perspective on the current literature regarding the application of AI and radiomics applied/extracted on/from ¹⁸F-FDG PET/CT in the management of lymphoma patients.
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/89554
note: Citation: Hasanabadi, S.; Aghamiri,S.M.R.; Abin, A.A.; Abdollahi, H.;Arabi, H.; Zaidi, H. EnhancingLymphoma Diagnosis, Treatment, andFollow-Up Using 18F-FDG PET/CTImaging: Contribution of ArtificialIntelligence and Radiomics Analysis.Cancers 2024, 16, 3511. https://doi.org/10.3390/cancers16203511Academic Editor: AhmadShariftabriziReceived: 5 September 2024Revised: 11 October 2024Accepted: 15 October 2024Published: 17 October 2024Copyright: © 2024 by the authors.Licensee MDPI, Basel, Switzerland.This article is an open access articledistributed under the terms andconditions of the Creative CommonsAttribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).cancersReviewEnhancing Lymphoma Diagnosis, Treatment, and Follow-UpUsing 18F-FDG PET/CT Imaging: Contribution of ArtificialIntelligence and Radiomics AnalysisSetareh Hasanabadi 1 , Seyed Mahmud Reza Aghamiri 1, Ahmad Ali Abin 2, Hamid Abdollahi 3,4 ,Hossein Arabi 5 and Habib Zaidi 5,6,7,8,*1 Department of Medical Radiation Engineering, Shahid Beheshti University, Tehran 1983969411, Iran;setareh.hasanabadi@gmail.com (S.H.); smr-aghamiri@sbu.ac.ir (S.M.R.A.)2 Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran 1983969411, Iran;a_abin@sbu.ac.ir3 Department of Radiology, University of British Columbia, Vancouver, BC V5Z 1M9, Canada;habdollahi@bccrc.ca4 Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada5 Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211 Geneva,Switzerland; hossein.arabi@unige.ch6 Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University MedicalCenter Groningen, 9700 RB Groningen, The Netherlands7 Department of Nuclear Medicine, University of Southern Denmark, 500 Odense, Denmark8 University Research and Innovation Center, Óbuda University, 1034 Budapest, Hungary* Correspondence: habib.zaidi@hug.ch; Tel.: +41-22-372-7258Simple Summary: Lymphoma is a …
has type: Article
is shown at: 10.14288/1.0447158
language: eng
peer review status: Reviewed
provider: Vancouver : University of British Columbia Library
publisher: Multidisciplinary Digital Publishing Institute
publisher DOI: 10.3390/cancers16203511
rights: CC BY 4.0
rights URI: https://creativecommons.org/licenses/by/4.0/
scholar level: Faculty
scholar level: Researcher
subject: lymphoma
subject: 18F-FDG PET/CT
subject: radiomics
subject: genomics
subject: radiogenomics
subject: deep learning
subject: personalized therapy
type: Text
identifier URI: http://hdl.handle.net/2429/89554