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Dynamic Characteristics and Predictive Capability of Tumor Voxel Dose–Response Assessed Using (18)F-FDG PET/CT Imaging Feedback
PURPOSE: Tumor voxel dose–response matrix (DRM) can be quantified using feedback from serial FDG-PET/CT imaging acquired during radiotherapy. This study investigated the dynamic characteristics and the predictive capability of DRM. METHODS: FDG-PET/CT images were acquired before and weekly during st...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299377/ https://www.ncbi.nlm.nih.gov/pubmed/35875108 http://dx.doi.org/10.3389/fonc.2022.876861 |
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author | Chen, Shupeng Qin, An Yan, Di |
author_facet | Chen, Shupeng Qin, An Yan, Di |
author_sort | Chen, Shupeng |
collection | PubMed |
description | PURPOSE: Tumor voxel dose–response matrix (DRM) can be quantified using feedback from serial FDG-PET/CT imaging acquired during radiotherapy. This study investigated the dynamic characteristics and the predictive capability of DRM. METHODS: FDG-PET/CT images were acquired before and weekly during standard chemoradiotherapy with the treatment dose 2 Gy × 35 from 31 head and neck cancer patients. For each patient, deformable image registration was performed between the pretreatment/baseline PET/CT image and each weekly PET/CT image. Tumor voxel DRM was derived using linear regression on the logarithm of the weekly standard uptake value (SUV) ratios for each tumor voxel, such as SUV measured at a dose level normalized to the baseline SUV(0). The dynamic characteristics were evaluated by comparing the DRM(i) estimated using a single feedback image acquired at the ith treatment week (i = 1, 2, 3, or 4) to the DRM estimated using the last feedback image for each patient. The predictive capability of the DRM estimated using 1 or 2 feedback images was evaluated using the receiver operating characteristic test with respect to the treatment outcome of tumor local–regional control or failure. RESULTS: The mean ± SD of tumor voxel SUV measured at the pretreatment and the 1st, 2nd, 3rd, 4th, and last treatment weeks was 6.76 ± 3.69, 5.72 ± 3.43, 3.85 ± 2.22, 3.27 ± 2.25, 2.5 ± 1.79, and 2.23 ± 1.27, respectively. The deviations between the DRM(i) estimated using the single feedback image obtained at the ith week and the last feedback image were 0.86 ± 4.87, −0.06 ± 0.3, −0.09 ± 0.17, and −0.09 ± 0.12 for DRM(1), DRM(2), DRM(3), and DRM(4), respectively. The predictive capability of DRM(3) and DRM(4) was significant (p < 0.001). The area under the curve (AUC) was increased with the increase in treatment dose level. The DRMs constructed using the single feedback image achieved an AUC of 0.86~1. The AUC was slightly improved to 0.94~1 for the DRMs estimated using 2 feedback images. CONCLUSION: Tumor voxel metabolic activity measured using FDG-PET/CT fluctuated noticeably during the first 2 treatment weeks and obtained a stabilized reduction rate thereafter. Tumor voxel DRM constructed using a single FDG-PET/CT feedback image after the 2nd treatment week (>20 Gy) has a good predictive capability. The predictive capability improved continuously using a later feedback image and marginally improved when two feedback images were applied. |
format | Online Article Text |
id | pubmed-9299377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92993772022-07-21 Dynamic Characteristics and Predictive Capability of Tumor Voxel Dose–Response Assessed Using (18)F-FDG PET/CT Imaging Feedback Chen, Shupeng Qin, An Yan, Di Front Oncol Oncology PURPOSE: Tumor voxel dose–response matrix (DRM) can be quantified using feedback from serial FDG-PET/CT imaging acquired during radiotherapy. This study investigated the dynamic characteristics and the predictive capability of DRM. METHODS: FDG-PET/CT images were acquired before and weekly during standard chemoradiotherapy with the treatment dose 2 Gy × 35 from 31 head and neck cancer patients. For each patient, deformable image registration was performed between the pretreatment/baseline PET/CT image and each weekly PET/CT image. Tumor voxel DRM was derived using linear regression on the logarithm of the weekly standard uptake value (SUV) ratios for each tumor voxel, such as SUV measured at a dose level normalized to the baseline SUV(0). The dynamic characteristics were evaluated by comparing the DRM(i) estimated using a single feedback image acquired at the ith treatment week (i = 1, 2, 3, or 4) to the DRM estimated using the last feedback image for each patient. The predictive capability of the DRM estimated using 1 or 2 feedback images was evaluated using the receiver operating characteristic test with respect to the treatment outcome of tumor local–regional control or failure. RESULTS: The mean ± SD of tumor voxel SUV measured at the pretreatment and the 1st, 2nd, 3rd, 4th, and last treatment weeks was 6.76 ± 3.69, 5.72 ± 3.43, 3.85 ± 2.22, 3.27 ± 2.25, 2.5 ± 1.79, and 2.23 ± 1.27, respectively. The deviations between the DRM(i) estimated using the single feedback image obtained at the ith week and the last feedback image were 0.86 ± 4.87, −0.06 ± 0.3, −0.09 ± 0.17, and −0.09 ± 0.12 for DRM(1), DRM(2), DRM(3), and DRM(4), respectively. The predictive capability of DRM(3) and DRM(4) was significant (p < 0.001). The area under the curve (AUC) was increased with the increase in treatment dose level. The DRMs constructed using the single feedback image achieved an AUC of 0.86~1. The AUC was slightly improved to 0.94~1 for the DRMs estimated using 2 feedback images. CONCLUSION: Tumor voxel metabolic activity measured using FDG-PET/CT fluctuated noticeably during the first 2 treatment weeks and obtained a stabilized reduction rate thereafter. Tumor voxel DRM constructed using a single FDG-PET/CT feedback image after the 2nd treatment week (>20 Gy) has a good predictive capability. The predictive capability improved continuously using a later feedback image and marginally improved when two feedback images were applied. Frontiers Media S.A. 2022-07-06 /pmc/articles/PMC9299377/ /pubmed/35875108 http://dx.doi.org/10.3389/fonc.2022.876861 Text en Copyright © 2022 Chen, Qin and Yan https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Chen, Shupeng Qin, An Yan, Di Dynamic Characteristics and Predictive Capability of Tumor Voxel Dose–Response Assessed Using (18)F-FDG PET/CT Imaging Feedback |
title | Dynamic Characteristics and Predictive Capability of Tumor Voxel Dose–Response Assessed Using (18)F-FDG PET/CT Imaging Feedback |
title_full | Dynamic Characteristics and Predictive Capability of Tumor Voxel Dose–Response Assessed Using (18)F-FDG PET/CT Imaging Feedback |
title_fullStr | Dynamic Characteristics and Predictive Capability of Tumor Voxel Dose–Response Assessed Using (18)F-FDG PET/CT Imaging Feedback |
title_full_unstemmed | Dynamic Characteristics and Predictive Capability of Tumor Voxel Dose–Response Assessed Using (18)F-FDG PET/CT Imaging Feedback |
title_short | Dynamic Characteristics and Predictive Capability of Tumor Voxel Dose–Response Assessed Using (18)F-FDG PET/CT Imaging Feedback |
title_sort | dynamic characteristics and predictive capability of tumor voxel dose–response assessed using (18)f-fdg pet/ct imaging feedback |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299377/ https://www.ncbi.nlm.nih.gov/pubmed/35875108 http://dx.doi.org/10.3389/fonc.2022.876861 |
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