Literature DB >> 12377328

Prediction of radiotherapy outcome using dynamic contrast enhanced MRI of carcinoma of the cervix.

Juliette A Loncaster1, Bernadette M Carrington, Johnathan R Sykes, Andrew P Jones, Susan M Todd, Rachel Cooper, David L Buckley, Susan E Davidson, John P Logue, Robin D Hunter, Catharine M L West.   

Abstract

PURPOSE: To investigate whether analysis of MRI enhancement data using a pharmacokinetic model improved a previously found correlation between contrast enhancement and tumor oxygenation measured using PO2 histograph. To evaluate the prognostic value of gadolinium enhancement data for radiotherapy outcome, and to study the efficacy of combined enhancement and MRI volume data. METHODS AND MATERIALS: Fifty patients underwent dynamic gadolinium-enhanced MRI as part of their initial staging investigations before treatment. Gadolinium enhancement was analyzed using the Brix pharmacokinetic model to obtain the parameters amplitude and rate of contrast enhancement. Pretreatment tumor oxygen measurements (Eppendorf PO2 histograph) were available for 35 patients.
RESULTS: Both standard and pharmacokinetic-derived enhancement data correlated with tumor oxygenation measurements, and poorly enhancing tumors had low tumor oxygen levels. However, only the pharmacokinetic-analyzed data correlated with patient outcome and patients with poorly (amplitude less than median) vs. well-enhancing tumors had significantly worse disease-specific survival (p = 0.024). For the 50 patients studied, no relationship was found between enhancement and volume data. Combining MRI volume and enhancement information highlighted large differences in outcome (p = 0.0054). At the time of analysis, only 55% of patients with large, poorly enhanced tumors were alive compared with 92% of patients with small, well-enhanced tumors.
CONCLUSION: These preliminary results suggest that pharmacokinetic modeling of dynamic contrast-enhanced MRI provides data that reflect tumor oxygenation and yields useful prognostic information in patients with locally advanced carcinoma of the cervix. Combining MRI-derived enhancement and volume data delineates large differences in radiotherapy outcome.

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Year:  2002        PMID: 12377328     DOI: 10.1016/s0360-3016(02)02972-3

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  42 in total

1.  Multi-parametric MRI in cervical cancer: early prediction of response to concurrent chemoradiotherapy in combination with clinical prognostic factors.

Authors:  Wei Yang; Jin Wei Qiang; Hai Ping Tian; Bing Chen; Ai Jun Wang; Jian Guo Zhao
Journal:  Eur Radiol       Date:  2017-08-04       Impact factor: 5.315

Review 2.  Tracer kinetic modelling of tumour angiogenesis based on dynamic contrast-enhanced CT and MRI measurements.

Authors:  Gunnar Brix; Jürgen Griebel; Fabian Kiessling; Frederik Wenz
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-08       Impact factor: 9.236

3.  Prediction of radiosensitivity in primary central nervous system germ cell tumors using dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Chenlu Feng; Peiyi Gao; Xiaoguang Qiu; Tianyi Qian; Yan Lin; Jian Zhou; Binbin Sui
Journal:  Chin J Cancer Res       Date:  2015-06       Impact factor: 5.087

4.  Prediction of response to chemoradiation therapy in squamous cell carcinomas of the head and neck using dynamic contrast-enhanced MR imaging.

Authors:  S Kim; L A Loevner; H Quon; A Kilger; E Sherman; G Weinstein; A Chalian; H Poptani
Journal:  AJNR Am J Neuroradiol       Date:  2009-10-01       Impact factor: 3.825

5.  Using semi-quantitative dynamic contrast-enhanced magnetic resonance imaging parameters to evaluate tumor hypoxia: a preclinical feasibility study in a maxillofacial VX2 rabbit model.

Authors:  Linfeng Zheng; Yujie Li; Feng Geng; Sujuan Zheng; Ruiling Yan; Yuedong Han; Qiben Wang; Zhuoli Zhang; Guixiang Zhang
Journal:  Am J Transl Res       Date:  2015-03-15       Impact factor: 4.060

6.  Blood oxygenation level-dependent MR imaging as a predictor of therapeutic response to concurrent chemoradiotherapy in cervical cancer: a preliminary experience.

Authors:  Chan Kyo Kim; Sung Yoon Park; Byung Kwan Park; Won Park; Seung Jae Huh
Journal:  Eur Radiol       Date:  2014-04-25       Impact factor: 5.315

Review 7.  The promise of dynamic contrast-enhanced imaging in radiation therapy.

Authors:  Yue Cao
Journal:  Semin Radiat Oncol       Date:  2011-04       Impact factor: 5.934

8.  Temporal analysis of tumor heterogeneity and volume for cervical cancer treatment outcome prediction: preliminary evaluation.

Authors:  Jeffrey W Prescott; Dongqing Zhang; Jian Z Wang; Nina A Mayr; William T C Yuh; Joel Saltz; Metin Gurcan
Journal:  J Digit Imaging       Date:  2009-01-27       Impact factor: 4.056

Review 9.  The clinical utility of imaging methods used to measure hypoxia in cervical cancer.

Authors:  Joseph Waller; Benjamin Onderdonk; Ann Flood; Harold Swartz; Jaffer Shah; Asghar Shah; Bulent Aydogan; Howard Halpern; Yasmin Hasan
Journal:  Br J Radiol       Date:  2020-04-22       Impact factor: 3.039

Review 10.  Magnetic resonance imaging of the tumor microenvironment in radiotherapy: perfusion, hypoxia, and metabolism.

Authors:  Masayuki Matsuo; Shingo Matsumoto; James B Mitchell; Murali C Krishna; Kevin Camphausen
Journal:  Semin Radiat Oncol       Date:  2014-07       Impact factor: 5.934

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