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Evaluation of tracer kinetic parameters in cervical cancer using dynamic contrast-enhanced MRI as biomarkers in terms of biological relevance, diagnostic performance and inter-center variability
OBJECTIVES: This study assessed the clinical value of parameters derived from dynamic contrast-enhanced (DCE) MRI with respect to correlation with angiogenesis and proliferation of cervical cancer, performance of diagnosis and reproducibility of DCE-MRI parameters across MRI scanners. MATERIALS AND...
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/PMC9620719/ https://www.ncbi.nlm.nih.gov/pubmed/36324571 http://dx.doi.org/10.3389/fonc.2022.958219 |
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author | Wang, Xue Li, Shujian Lin, Xianhui Lu, Yi Mao, Chuanwan Ye, Zhijun Li, Xuesheng Koh, Tong-San Liu, Jie Liu, Jingjing Ma, Xiaoyue Cheng, Jingliang Ning, Gang Yan, Zhihan Hou, Zujun |
author_facet | Wang, Xue Li, Shujian Lin, Xianhui Lu, Yi Mao, Chuanwan Ye, Zhijun Li, Xuesheng Koh, Tong-San Liu, Jie Liu, Jingjing Ma, Xiaoyue Cheng, Jingliang Ning, Gang Yan, Zhihan Hou, Zujun |
author_sort | Wang, Xue |
collection | PubMed |
description | OBJECTIVES: This study assessed the clinical value of parameters derived from dynamic contrast-enhanced (DCE) MRI with respect to correlation with angiogenesis and proliferation of cervical cancer, performance of diagnosis and reproducibility of DCE-MRI parameters across MRI scanners. MATERIALS AND METHODS: A total of 113 patients with cervical carcinoma from two centers were included in this retrospective study. The DCE data were centralized and processed using five tracer kinetic models (TKMs) (Tofts, Ex-Tofts, ATH, SC, and DP), yielding the following parameters: volume transfer constant (Ktrans), extravascular extracellular volume (Ve), fractional volume of vascular space (Vp), blood flow (Fp), and permeability surface area product (PS). CD34 counts and Ki-67 PI (proliferation index) of cervical cancer and normal cervix tissue were obtained using immunohistochemical staining in Center 1. RESULTS: CD34 count and Ki-67 PI in cervical cancer were significantly higher than in normal cervix tissue (p<0.05). Parameter Ve from each TKM was significantly smaller in cervical cancer tissue than in normal cervix tissue (p<0.05), indicating the higher proliferation of cervical cancer cells. Ve of each TKM attained the largest AUC to diagnose cervical cancer. The distributions of DCE parameters for both cervical cancer and normal cervix tissue were not significantly different between two centers (P>0.05). CONCLUSION: Parameter Ve was similar to the expression of Ki-67 in revealing the proliferation of tissue cells, attained good performance in diagnosis of cervical cancer, and demonstrated consistent findings on measured values across centers. |
format | Online Article Text |
id | pubmed-9620719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96207192022-11-01 Evaluation of tracer kinetic parameters in cervical cancer using dynamic contrast-enhanced MRI as biomarkers in terms of biological relevance, diagnostic performance and inter-center variability Wang, Xue Li, Shujian Lin, Xianhui Lu, Yi Mao, Chuanwan Ye, Zhijun Li, Xuesheng Koh, Tong-San Liu, Jie Liu, Jingjing Ma, Xiaoyue Cheng, Jingliang Ning, Gang Yan, Zhihan Hou, Zujun Front Oncol Oncology OBJECTIVES: This study assessed the clinical value of parameters derived from dynamic contrast-enhanced (DCE) MRI with respect to correlation with angiogenesis and proliferation of cervical cancer, performance of diagnosis and reproducibility of DCE-MRI parameters across MRI scanners. MATERIALS AND METHODS: A total of 113 patients with cervical carcinoma from two centers were included in this retrospective study. The DCE data were centralized and processed using five tracer kinetic models (TKMs) (Tofts, Ex-Tofts, ATH, SC, and DP), yielding the following parameters: volume transfer constant (Ktrans), extravascular extracellular volume (Ve), fractional volume of vascular space (Vp), blood flow (Fp), and permeability surface area product (PS). CD34 counts and Ki-67 PI (proliferation index) of cervical cancer and normal cervix tissue were obtained using immunohistochemical staining in Center 1. RESULTS: CD34 count and Ki-67 PI in cervical cancer were significantly higher than in normal cervix tissue (p<0.05). Parameter Ve from each TKM was significantly smaller in cervical cancer tissue than in normal cervix tissue (p<0.05), indicating the higher proliferation of cervical cancer cells. Ve of each TKM attained the largest AUC to diagnose cervical cancer. The distributions of DCE parameters for both cervical cancer and normal cervix tissue were not significantly different between two centers (P>0.05). CONCLUSION: Parameter Ve was similar to the expression of Ki-67 in revealing the proliferation of tissue cells, attained good performance in diagnosis of cervical cancer, and demonstrated consistent findings on measured values across centers. Frontiers Media S.A. 2022-10-17 /pmc/articles/PMC9620719/ /pubmed/36324571 http://dx.doi.org/10.3389/fonc.2022.958219 Text en Copyright © 2022 Wang, Li, Lin, Lu, Mao, Ye, Li, Koh, Liu, Liu, Ma, Cheng, Ning, Yan and Hou 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 Wang, Xue Li, Shujian Lin, Xianhui Lu, Yi Mao, Chuanwan Ye, Zhijun Li, Xuesheng Koh, Tong-San Liu, Jie Liu, Jingjing Ma, Xiaoyue Cheng, Jingliang Ning, Gang Yan, Zhihan Hou, Zujun Evaluation of tracer kinetic parameters in cervical cancer using dynamic contrast-enhanced MRI as biomarkers in terms of biological relevance, diagnostic performance and inter-center variability |
title | Evaluation of tracer kinetic parameters in cervical cancer using dynamic contrast-enhanced MRI as biomarkers in terms of biological relevance, diagnostic performance and inter-center variability |
title_full | Evaluation of tracer kinetic parameters in cervical cancer using dynamic contrast-enhanced MRI as biomarkers in terms of biological relevance, diagnostic performance and inter-center variability |
title_fullStr | Evaluation of tracer kinetic parameters in cervical cancer using dynamic contrast-enhanced MRI as biomarkers in terms of biological relevance, diagnostic performance and inter-center variability |
title_full_unstemmed | Evaluation of tracer kinetic parameters in cervical cancer using dynamic contrast-enhanced MRI as biomarkers in terms of biological relevance, diagnostic performance and inter-center variability |
title_short | Evaluation of tracer kinetic parameters in cervical cancer using dynamic contrast-enhanced MRI as biomarkers in terms of biological relevance, diagnostic performance and inter-center variability |
title_sort | evaluation of tracer kinetic parameters in cervical cancer using dynamic contrast-enhanced mri as biomarkers in terms of biological relevance, diagnostic performance and inter-center variability |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620719/ https://www.ncbi.nlm.nih.gov/pubmed/36324571 http://dx.doi.org/10.3389/fonc.2022.958219 |
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