2022
DOI: 10.1016/j.acra.2021.11.013
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Prediction of Tumor-Infiltrating CD20+ B-Cells in Patients with Pancreatic Ductal Adenocarcinoma Using a Multilayer Perceptron Network Classifier Based on Non-contrast MRI

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Cited by 6 publications
(4 citation statements)
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“…Although CD20+ B cells in TLSs are related to positive patient prognosis, their function in the TME is not straightforward ( 51 ). B cells usually exhibit antitumor-related effects such as antigen presentation and antibody production in humans.…”
Section: Pancreatic Cancer and Tilsmentioning
confidence: 99%
“…Although CD20+ B cells in TLSs are related to positive patient prognosis, their function in the TME is not straightforward ( 51 ). B cells usually exhibit antitumor-related effects such as antigen presentation and antibody production in humans.…”
Section: Pancreatic Cancer and Tilsmentioning
confidence: 99%
“…All studies which investigated the role of imaging methods in TILs levels prediction in PDAC cases focused on the use of radiomics and artificial intelligence (AI) to analyze the radiomics [ 106 110 ] and the majority of them suggested the usage of radiomics models combined with non-radiomics features obtained from imaging studies.…”
Section: Other Cancersmentioning
confidence: 99%
“…Another interesting machine learning model was proposed by Li et al via non-contrast MRI in 156 PDAC patients. The authors focused on CD20 + B Cells level reflection in radiological images created through radiomics development [ 110 ].…”
Section: Other Cancersmentioning
confidence: 99%
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