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Combination of (99m)Tc-Labeled PSMA-SPECT/CT and Diffusion-Weighted MRI in the Prediction of Early Response After Carbon Ion Therapy in Prostate Cancer: A Non-Randomized Prospective Pilot Study
PURPOSE: The purpose of this study was to assess the potential of (99m)Tc-labeled PSMA-SPECT/CT and diffusion-weighted image (DWI) for predicting treatment response after carbon ion radiotherapy (CIRT) in prostate cancer. PATIENTS AND METHODS: We prospectively registered 26 patients with localized p...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
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2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7937376/ https://www.ncbi.nlm.nih.gov/pubmed/33688262 http://dx.doi.org/10.2147/CMAR.S285167 |
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author | Li, Ping Liu, Chang Wu, Shuang Deng, Lin Zhang, Guangyuan Cai, Xin Hu, Silong Cheng, Jingyi Xu, Xiaoping Wu, Bin Guo, Xiaomao Zhang, Yingjian Fu, Shen Zhang, Qing |
author_facet | Li, Ping Liu, Chang Wu, Shuang Deng, Lin Zhang, Guangyuan Cai, Xin Hu, Silong Cheng, Jingyi Xu, Xiaoping Wu, Bin Guo, Xiaomao Zhang, Yingjian Fu, Shen Zhang, Qing |
author_sort | Li, Ping |
collection | PubMed |
description | PURPOSE: The purpose of this study was to assess the potential of (99m)Tc-labeled PSMA-SPECT/CT and diffusion-weighted image (DWI) for predicting treatment response after carbon ion radiotherapy (CIRT) in prostate cancer. PATIENTS AND METHODS: We prospectively registered 26 patients with localized prostate cancer treated with CIRT. All patients underwent (99m)Tc-labeled PSMA-SPECT/CT and multiparametric magnetic resonance imaging (MRI) before and after CIRT. The tumor/background ratio (TBR) and mean apparent diffusion coefficient (ADC(mean)) were measured on the tumor and the percentage changes before and after therapy (ΔTBR and ΔADC(mean)) were calculated. Patients were divided into two groups: good response and poor response according to clinical follow-up. RESULTS: The median follow up time was 38.3months. The TBR was significantly decreased (p=0.001), while the ADC(mean) was significantly increased compared with the pretreatment value (p<0.001). The ΔTBR and ΔADC(mean) were negatively correlated with each other (p = 0.002). On ROC curve analysis for predicting treatment response, the area under the ROC curve (AUC) of ΔTBR (0.867) for predicting good response was higher than that of ΔADC(mean) (0.819). The AUC of combined with ΔTBR and ΔADC(mean) (0.895) was higher than that of either ΔADC(mean) or ΔTBR alone. The combined use of ΔTBR and ΔADC(mean) showed 91.4% sensitivity and 95.2% specificity. CONCLUSION: Our preliminary data indicate that the changes of TBR and ADC(mean) maybe an early bio-marker for predicting prognosis after CIRT in localized prostate cancer patients. In addition, the ΔTBR seems to be a more powerful prognostic factor than ΔADC(mean) in prostate cancer treated with CIRT. |
format | Online Article Text |
id | pubmed-7937376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-79373762021-03-08 Combination of (99m)Tc-Labeled PSMA-SPECT/CT and Diffusion-Weighted MRI in the Prediction of Early Response After Carbon Ion Therapy in Prostate Cancer: A Non-Randomized Prospective Pilot Study Li, Ping Liu, Chang Wu, Shuang Deng, Lin Zhang, Guangyuan Cai, Xin Hu, Silong Cheng, Jingyi Xu, Xiaoping Wu, Bin Guo, Xiaomao Zhang, Yingjian Fu, Shen Zhang, Qing Cancer Manag Res Original Research PURPOSE: The purpose of this study was to assess the potential of (99m)Tc-labeled PSMA-SPECT/CT and diffusion-weighted image (DWI) for predicting treatment response after carbon ion radiotherapy (CIRT) in prostate cancer. PATIENTS AND METHODS: We prospectively registered 26 patients with localized prostate cancer treated with CIRT. All patients underwent (99m)Tc-labeled PSMA-SPECT/CT and multiparametric magnetic resonance imaging (MRI) before and after CIRT. The tumor/background ratio (TBR) and mean apparent diffusion coefficient (ADC(mean)) were measured on the tumor and the percentage changes before and after therapy (ΔTBR and ΔADC(mean)) were calculated. Patients were divided into two groups: good response and poor response according to clinical follow-up. RESULTS: The median follow up time was 38.3months. The TBR was significantly decreased (p=0.001), while the ADC(mean) was significantly increased compared with the pretreatment value (p<0.001). The ΔTBR and ΔADC(mean) were negatively correlated with each other (p = 0.002). On ROC curve analysis for predicting treatment response, the area under the ROC curve (AUC) of ΔTBR (0.867) for predicting good response was higher than that of ΔADC(mean) (0.819). The AUC of combined with ΔTBR and ΔADC(mean) (0.895) was higher than that of either ΔADC(mean) or ΔTBR alone. The combined use of ΔTBR and ΔADC(mean) showed 91.4% sensitivity and 95.2% specificity. CONCLUSION: Our preliminary data indicate that the changes of TBR and ADC(mean) maybe an early bio-marker for predicting prognosis after CIRT in localized prostate cancer patients. In addition, the ΔTBR seems to be a more powerful prognostic factor than ΔADC(mean) in prostate cancer treated with CIRT. Dove 2021-03-03 /pmc/articles/PMC7937376/ /pubmed/33688262 http://dx.doi.org/10.2147/CMAR.S285167 Text en © 2021 Li et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Li, Ping Liu, Chang Wu, Shuang Deng, Lin Zhang, Guangyuan Cai, Xin Hu, Silong Cheng, Jingyi Xu, Xiaoping Wu, Bin Guo, Xiaomao Zhang, Yingjian Fu, Shen Zhang, Qing Combination of (99m)Tc-Labeled PSMA-SPECT/CT and Diffusion-Weighted MRI in the Prediction of Early Response After Carbon Ion Therapy in Prostate Cancer: A Non-Randomized Prospective Pilot Study |
title | Combination of (99m)Tc-Labeled PSMA-SPECT/CT and Diffusion-Weighted MRI in the Prediction of Early Response After Carbon Ion Therapy in Prostate Cancer: A Non-Randomized Prospective Pilot Study |
title_full | Combination of (99m)Tc-Labeled PSMA-SPECT/CT and Diffusion-Weighted MRI in the Prediction of Early Response After Carbon Ion Therapy in Prostate Cancer: A Non-Randomized Prospective Pilot Study |
title_fullStr | Combination of (99m)Tc-Labeled PSMA-SPECT/CT and Diffusion-Weighted MRI in the Prediction of Early Response After Carbon Ion Therapy in Prostate Cancer: A Non-Randomized Prospective Pilot Study |
title_full_unstemmed | Combination of (99m)Tc-Labeled PSMA-SPECT/CT and Diffusion-Weighted MRI in the Prediction of Early Response After Carbon Ion Therapy in Prostate Cancer: A Non-Randomized Prospective Pilot Study |
title_short | Combination of (99m)Tc-Labeled PSMA-SPECT/CT and Diffusion-Weighted MRI in the Prediction of Early Response After Carbon Ion Therapy in Prostate Cancer: A Non-Randomized Prospective Pilot Study |
title_sort | combination of (99m)tc-labeled psma-spect/ct and diffusion-weighted mri in the prediction of early response after carbon ion therapy in prostate cancer: a non-randomized prospective pilot study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7937376/ https://www.ncbi.nlm.nih.gov/pubmed/33688262 http://dx.doi.org/10.2147/CMAR.S285167 |
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