Artificial Intelligence in Lymphoma PET Imaging:: A Scoping Review (Current Trends and Future Directions).
PET Clin
; 17(1): 145-174, 2022 Jan.
Article
em En
| MEDLINE
| ID: mdl-34809864
ABSTRACT
Malignant lymphomas are a family of heterogenous disorders caused by clonal proliferation of lymphocytes. 18F-FDG-PET has proven to provide essential information for accurate quantification of disease burden, treatment response evaluation, and prognostication. However, manual delineation of hypermetabolic lesions is often a time-consuming and impractical task. Applications of artificial intelligence (AI) may provide solutions to overcome this challenge. Beyond segmentation and detection of lesions, AI could enhance tumor characterization and heterogeneity quantification, as well as treatment response prediction and recurrence risk stratification. In this scoping review, we have systematically mapped and discussed the current applications of AI (such as detection, classification, segmentation as well as the prediction and prognostication) in lymphoma PET.
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Base de dados:
MEDLINE
Assunto principal:
Inteligência Artificial
/
Linfoma
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article