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Effect of uncertainties in quantitative 18 F‐FDG PET/CT imaging feedback for intratumoral dose‐response assessment and dose painting by number
Author(s) -
Chen Shupeng,
Yan Di,
Qin An,
Maniawski Piotr,
Krauss Daniel J.,
Wilson George D.
Publication year - 2020
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1002/mp.14482
Subject(s) - voxel , nuclear medicine , positron emission tomography , medical imaging , medicine , standardized uptake value , radiology
Purpose Intratumoral dose response can be detected using serial fluoro‐2‐deoxyglucose‐(FDG) positron emission tomography (PET)/computed tomography (CT) imaging feedback during treatment and used to guide adaptive dose painting by number (DPbN). However, to reliably implement this technique, the effect of uncertainties in quantitative PET/CT imaging feedback on tumor voxel dose‐response assessment and DPbN needs to be determined and reduced. Methods Three major uncertainties, induced by (a) PET imaging partial volume effect (PVE) and (b) tumor deformable image registration (DIR), and (c) variation of the time interval between FDG injection and PET image acquisition (TI), were determined using serial FDG‐PET/CT images acquired during chemoradiotherapy of 18 head and neck cancer patients. PET imaging PVE was simulated using the discrepancy between with and without iterative deconvolution‐based PVE corrections. Effect of tumor DIR uncertainty was simulated using the discrepancy between two DIR algorithms, including one with and one without soft‐tissue mechanical correction for the voxel displacement. The effect of TI variation was simulated using linear interpolation on the dual‐point PET/CT images. Tumor voxel pretreatment metabolic activity (SUV 0 ) and dose–response matrix (DRM) discrepancies induced by each of the three uncertainties were quantified, respectively. Adverse effects of tumor voxel SUV 0 and DRM discrepancies on tumor control probability (TCP) in DPbN were assessed. Results Partial volume effect and TI variations of 10 mins induced a mean ± standard deviation (SD) of tumor voxel SUV 0 discrepancies to be −0.7% ± 9.2% and 0% ± 4.8%, respectively. Tumor voxel DRM discrepancies induced by PVE, tumor DIR discrepancy, and TI variations were 0.6% ± 8.9%, 1.7% ± 9.1%, and 0% ± 7%, respectively. Partial volume effect induced SUV 0 and DRM discrepancies correlated significantly with the tumor shape and FDG uptake heterogeneity. Tumor DIR uncertainty‐induced DRM discrepancy correlated significantly with the tumor volume and shrinkage during treatment. Among the three uncertainties, PVE dominated the adverse effects on the TCP, with a mean ± SD of TCP reduction to be 12.7% ± 9.8% for all tumors if no compensation was applied for. Conclusions Effect of uncertainties in quantitative FDG‐PET/CT imaging feedback on intratumoral dose–response quantification was not negligible. These uncertainties primarily caused by PVE and tumor DIR were highly dependent on individual tumor shape, volume, shrinkage during treatment, and pretreatment SUV heterogeneity, which can be managed individually. The adverse effects of these uncertainties could be minimized by using proper PVE corrections and DIR methods and compensated for in the clinical implementation of DPbN.