Cargando…
A Hybrid Imaging Platform(CT/PET/FMI) for Evaluating Tumor Necrosis and Apoptosis in Real-Time
Multimodality imaging is an advanced imaging tool for monitoring tumor behavior and therapy in vivo. In this study, we have developed a novel hybrid tri-modality system that includes two molecular imaging methods: positron emission computed tomography (PET) and fluorescence molecular imaging (FMI) a...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257022/ https://www.ncbi.nlm.nih.gov/pubmed/35814447 http://dx.doi.org/10.3389/fonc.2022.772392 |
_version_ | 1784741245010051072 |
---|---|
author | Kang, Yulin Zhai, Xiaohui Lu, Sifen Vuletic, Ivan Wang, Lin Zhou, Kun Peng, Zhiqiang Ren, Qiushi Xie, Zhaoheng |
author_facet | Kang, Yulin Zhai, Xiaohui Lu, Sifen Vuletic, Ivan Wang, Lin Zhou, Kun Peng, Zhiqiang Ren, Qiushi Xie, Zhaoheng |
author_sort | Kang, Yulin |
collection | PubMed |
description | Multimodality imaging is an advanced imaging tool for monitoring tumor behavior and therapy in vivo. In this study, we have developed a novel hybrid tri-modality system that includes two molecular imaging methods: positron emission computed tomography (PET) and fluorescence molecular imaging (FMI) and the anatomic imaging modality X-ray computed tomography (CT). The following paper describes the system development. Also, its imaging performance was tested in vitro (phantom) and in vivo, in Balb/c nude mice bearing a head and neck tumor xenograft treated with novel gene therapy [a new approach to the delivery of recombinant bacterial gene (IL-24-expressing strain)]. Using the tri-modality imaging system, we simultaneously monitored the therapeutic effect, including the apoptotic and necrotic induction within the tumor in vivo. The apoptotic induction was examined in real-time using an (18)F-ML-10 tracer; the cell death was detected using ICG. A CT was used to evaluate the anatomical situation. An increased tumor inhibition (including tumor growth and tumor cell apoptosis) was observed in the treatment group compared to the control groups, which further confirmed the therapeutic effect of a new IL-24-expressing strain gene therapy on the tumor in vivo. By being able to offer concurrent morphological and functional information, our system is able to characterize malignant tissues more accurately. Therefore, this new tri-modality system (PET/CT/FMI) is an effective imaging tool for simultaneously investigating and monitoring tumor progression and therapy outcomes in vivo. |
format | Online Article Text |
id | pubmed-9257022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92570222022-07-07 A Hybrid Imaging Platform(CT/PET/FMI) for Evaluating Tumor Necrosis and Apoptosis in Real-Time Kang, Yulin Zhai, Xiaohui Lu, Sifen Vuletic, Ivan Wang, Lin Zhou, Kun Peng, Zhiqiang Ren, Qiushi Xie, Zhaoheng Front Oncol Oncology Multimodality imaging is an advanced imaging tool for monitoring tumor behavior and therapy in vivo. In this study, we have developed a novel hybrid tri-modality system that includes two molecular imaging methods: positron emission computed tomography (PET) and fluorescence molecular imaging (FMI) and the anatomic imaging modality X-ray computed tomography (CT). The following paper describes the system development. Also, its imaging performance was tested in vitro (phantom) and in vivo, in Balb/c nude mice bearing a head and neck tumor xenograft treated with novel gene therapy [a new approach to the delivery of recombinant bacterial gene (IL-24-expressing strain)]. Using the tri-modality imaging system, we simultaneously monitored the therapeutic effect, including the apoptotic and necrotic induction within the tumor in vivo. The apoptotic induction was examined in real-time using an (18)F-ML-10 tracer; the cell death was detected using ICG. A CT was used to evaluate the anatomical situation. An increased tumor inhibition (including tumor growth and tumor cell apoptosis) was observed in the treatment group compared to the control groups, which further confirmed the therapeutic effect of a new IL-24-expressing strain gene therapy on the tumor in vivo. By being able to offer concurrent morphological and functional information, our system is able to characterize malignant tissues more accurately. Therefore, this new tri-modality system (PET/CT/FMI) is an effective imaging tool for simultaneously investigating and monitoring tumor progression and therapy outcomes in vivo. Frontiers Media S.A. 2022-06-22 /pmc/articles/PMC9257022/ /pubmed/35814447 http://dx.doi.org/10.3389/fonc.2022.772392 Text en Copyright © 2022 Kang, Zhai, Lu, Vuletic, Wang, Zhou, Peng, Ren and Xie 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 Kang, Yulin Zhai, Xiaohui Lu, Sifen Vuletic, Ivan Wang, Lin Zhou, Kun Peng, Zhiqiang Ren, Qiushi Xie, Zhaoheng A Hybrid Imaging Platform(CT/PET/FMI) for Evaluating Tumor Necrosis and Apoptosis in Real-Time |
title | A Hybrid Imaging Platform(CT/PET/FMI) for Evaluating Tumor Necrosis and Apoptosis in Real-Time |
title_full | A Hybrid Imaging Platform(CT/PET/FMI) for Evaluating Tumor Necrosis and Apoptosis in Real-Time |
title_fullStr | A Hybrid Imaging Platform(CT/PET/FMI) for Evaluating Tumor Necrosis and Apoptosis in Real-Time |
title_full_unstemmed | A Hybrid Imaging Platform(CT/PET/FMI) for Evaluating Tumor Necrosis and Apoptosis in Real-Time |
title_short | A Hybrid Imaging Platform(CT/PET/FMI) for Evaluating Tumor Necrosis and Apoptosis in Real-Time |
title_sort | hybrid imaging platform(ct/pet/fmi) for evaluating tumor necrosis and apoptosis in real-time |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257022/ https://www.ncbi.nlm.nih.gov/pubmed/35814447 http://dx.doi.org/10.3389/fonc.2022.772392 |
work_keys_str_mv | AT kangyulin ahybridimagingplatformctpetfmiforevaluatingtumornecrosisandapoptosisinrealtime AT zhaixiaohui ahybridimagingplatformctpetfmiforevaluatingtumornecrosisandapoptosisinrealtime AT lusifen ahybridimagingplatformctpetfmiforevaluatingtumornecrosisandapoptosisinrealtime AT vuleticivan ahybridimagingplatformctpetfmiforevaluatingtumornecrosisandapoptosisinrealtime AT wanglin ahybridimagingplatformctpetfmiforevaluatingtumornecrosisandapoptosisinrealtime AT zhoukun ahybridimagingplatformctpetfmiforevaluatingtumornecrosisandapoptosisinrealtime AT pengzhiqiang ahybridimagingplatformctpetfmiforevaluatingtumornecrosisandapoptosisinrealtime AT renqiushi ahybridimagingplatformctpetfmiforevaluatingtumornecrosisandapoptosisinrealtime AT xiezhaoheng ahybridimagingplatformctpetfmiforevaluatingtumornecrosisandapoptosisinrealtime AT kangyulin hybridimagingplatformctpetfmiforevaluatingtumornecrosisandapoptosisinrealtime AT zhaixiaohui hybridimagingplatformctpetfmiforevaluatingtumornecrosisandapoptosisinrealtime AT lusifen hybridimagingplatformctpetfmiforevaluatingtumornecrosisandapoptosisinrealtime AT vuleticivan hybridimagingplatformctpetfmiforevaluatingtumornecrosisandapoptosisinrealtime AT wanglin hybridimagingplatformctpetfmiforevaluatingtumornecrosisandapoptosisinrealtime AT zhoukun hybridimagingplatformctpetfmiforevaluatingtumornecrosisandapoptosisinrealtime AT pengzhiqiang hybridimagingplatformctpetfmiforevaluatingtumornecrosisandapoptosisinrealtime AT renqiushi hybridimagingplatformctpetfmiforevaluatingtumornecrosisandapoptosisinrealtime AT xiezhaoheng hybridimagingplatformctpetfmiforevaluatingtumornecrosisandapoptosisinrealtime |