Literature DB >> 10508286

MR microcirculation assessment in cervical cancer: correlations with histomorphological tumor markers and clinical outcome.

N A Mayr1, H Hawighorst, W T Yuh, M Essig, V A Magnotta, M V Knopp.   

Abstract

This article reviews the experience available to date on microcirculation assessment in cancer of the cervix including correlation studies of magnetic resonance (MR) microcirculatory parameters with histo-morphometric predictors and direct correlation with patient outcome. The data suggest that MR microcirculation parameters do not always correlate with histo-morphometric parameters, while there is evidence that MR parameters predict patients' treatment outcome. These observations raise the issue that perhaps the histo-morphometric parameters, accepted gold standards for tumor angiogenesis and prognostic factors, reflect anatomical information at a "static" single time point and may not always provide sufficient information on the "dynamic" microcirculation function of the tumor. MR microcirculation assessment reflects both anatomical and functional information and may provide this additional information on the "dynamic" angiogenic and metabolic status of a tumor. Therefore, assessment of tumor microcirculation may augment the individual risk profile in cervical cancer patients and has the potential to impact on therapy selection and treatment outcome.

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Year:  1999        PMID: 10508286     DOI: 10.1002/(sici)1522-2586(199909)10:3<267::aid-jmri7>3.0.co;2-y

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  18 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

2.  An in vivo correlate of exercise-induced neurogenesis in the adult dentate gyrus.

Authors:  Ana C Pereira; Dan E Huddleston; Adam M Brickman; Alexander A Sosunov; Rene Hen; Guy M McKhann; Richard Sloan; Fred H Gage; Truman R Brown; Scott A Small
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-20       Impact factor: 11.205

3.  Abnormalities in the recirculation phase of contrast agent bolus passage in cerebral gliomas: comparison with relative blood volume and tumor grade.

Authors:  Alan Jackson; Andrea Kassner; Deborah Annesley-Williams; Helen Reid; Xiau-Ping Zhu; Kah-Loh Li
Journal:  AJNR Am J Neuroradiol       Date:  2002-01       Impact factor: 3.825

4.  Perfusion parameters of dynamic contrast-enhanced magnetic resonance imaging predict outcomes of hepatocellular carcinoma receiving radiotherapy with or without thalidomide.

Authors:  Po-Chin Liang; Hui-Ju Ch'ang; Chiun Hsu; Li-Tzong Chen; Tiffany T F Shih; Tsang Wu Liu
Journal:  Hepatol Int       Date:  2014-07-26       Impact factor: 6.047

5.  Characterizing tumor heterogeneity with functional imaging and quantifying high-risk tumor volume for early prediction of treatment outcome: cervical cancer as a model.

Authors:  Nina A Mayr; Zhibin Huang; Jian Z Wang; Simon S Lo; Joline M Fan; John C Grecula; Steffen Sammet; Christina L Sammet; Guang Jia; Jun Zhang; Michael V Knopp; William T C Yuh
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-12-28       Impact factor: 7.038

6.  Predicting control of primary tumor and survival by DCE MRI during early therapy in cervical cancer.

Authors:  William T C Yuh; Nina A Mayr; David Jarjoura; Dee Wu; John C Grecula; Simon S Lo; Susan M Edwards; Vincent A Magnotta; Steffen Sammet; Hualin Zhang; Joseph F Montebello; Jeffrey Fowler; Michael V Knopp; Jian Z Wang
Journal:  Invest Radiol       Date:  2009-06       Impact factor: 6.016

7.  Optimization of perfusion CT protocol for imaging of extracranial head and neck tumors.

Authors:  Sotirios Bisdas; Chuan Zhi Foo; Choon Hua Thng; Thomas J Vogl; Tong San Koh
Journal:  J Digit Imaging       Date:  2008-05-03       Impact factor: 4.056

8.  Ultra-early predictive assay for treatment failure using functional magnetic resonance imaging and clinical prognostic parameters in cervical cancer.

Authors:  Nina A Mayr; William T C Yuh; David Jajoura; Jian Z Wang; Simon S Lo; Joseph F Montebello; Kyle Porter; Dongqing Zhang; D Scott McMeekin; John M Buatti
Journal:  Cancer       Date:  2010-02-15       Impact factor: 6.860

9.  Contrast-enhanced ultrasonography of cervical carcinoma: perfusion pattern and relationship with tumour angiogenesis.

Authors:  Wei Zheng; Yong-Hong Xiong; Jing Han; Zhi-Xing Guo; Yu-Hong Li; An-Hua Li; Xiao-Qing Pei
Journal:  Br J Radiol       Date:  2016-06-24       Impact factor: 3.039

10.  Validation of optimal DCE-MRI perfusion threshold to classify at-risk tumor imaging voxels in heterogeneous cervical cancer for outcome prediction.

Authors:  Zhibin Huang; Kevin A Yuh; Simon S Lo; John C Grecula; Steffen Sammet; Christina L Sammet; Guang Jia; Michael V Knopp; Qiang Wu; Norman J Beauchamp; William T C Yuh; Roy Wang; Nina A Mayr
Journal:  Magn Reson Imaging       Date:  2014-08-29       Impact factor: 2.546

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