Semi-automated <sup>18</sup>F-FDG PET segmentation methods for tumor volume determination in Non-Hodgkin lymphoma patients: a literature review, implementation and multi-threshold evaluation.
第一作者:
Kylie,Keijzer
第一单位:
Department of Hematology, University Medical Center Groningen, Hanzeplein 1, 9713GZ Groningen, the Netherlands.;Department of Radiation Oncology, University Medical Center Groningen, Hanzeplein 1, 9713GZ Groningen, the Netherlands.
作者:
关键词
18F-FDG PETAT, adaptive thresholding methodsCAR, chimeric antigen receptorCT, computed tomographyDICOM, Digital Imaging and Communications in MedicineDLBCL, Diffuse large B-cell lymphomaEANM, European Association of Nuclear MedicineEARL, EANM Research Ltd.FDG, fluorodeoxyglucoseHL, Hodgkin lymphomaIMG, robustness across image reconstruction methodsIQR, interquartile rangeLBCL, Large B-cell lymphomaLDH, lactate dehydrogenaseMAN, clinician based evaluation using manual segmentationsMATV, Metabolic active tumor volumeMIP, Maximum Intensity ProjectionMUST, Multiple SUV ThresholdingMetabolic tumor volumeNHL, Non-Hodgkin lymphomaNon-Hodgkin lymphomaOBS, robustness across observersOS, overall survivalPD-L1, programmed cell death ligand-1PET segmentationPET, positron emission tomographyPFS, progression free survivalPROG, progression vs non-progressionPTCL, Peripheral T-cell lymphomaPTLD, Post-transplant lymphoproliferative disorderQS, quality scoresSOFT, robustness across softwareSUV thresholdingSUV, standardized uptake valueSegmentation softwareTCL, T-cell lymphomaUMCG, University Medical Center GroningenVOI, volume of interestcc, cubic centimeter
DOI
10.1016/j.csbj.2023.01.023
PMID
36789266
发布时间
2023-02-17
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