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Comment
. 2008 Aug 1;71(5):1602-3; author reply 1603.
doi: 10.1016/j.ijrobp.2008.04.024.

MRI for cervical cancer not only correlates with tumor hypoxia, but also predicts ultimate outcome: in regard to Lim et al. (Int J Radiat Oncol Biol Phys 2008;70:126-133)

Jian Z Wang, Nina A Mayr, Dongqing Zhang, William T C Yuh
Comment

MRI for cervical cancer not only correlates with tumor hypoxia, but also predicts ultimate outcome: in regard to Lim et al. (Int J Radiat Oncol Biol Phys 2008;70:126-133)

Jian Z Wang et al. Int J Radiat Oncol Biol Phys. .
No abstract available

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References

    1. Lim K, Chan P, Dinniwell R, et al. Cervical cancer regression measured using weekly magnetic resonance imaging during fractionated radiotherapy: radiobiologic modeling and correlation with tumor hypoxia. Int J Radiat Oncol Biol Phys. 2008;70:126–133. - PubMed
    1. Wang JZ, Mayr NA, Yuh WTC, et al. Kinetic Model of Tumor Regression During Radiation Therapy of Cervical Cancer. Int J Radiat Oncol Biol Phys. 2006;66:S603.
    1. Wang JZ, Mayr NA, Yuh WT, et al. Dynamic tumor regression during radiation therapy predicts treatment outcome in cervical cancer. Proc Intl Soc Mag Reson Med. 2006;14:759.
    1. Mayr NA, Wang JZ, Zhang D, et al. Synergistic Effects of Hemoglobin and Tumor Perfusion in Tumor Control for Cervical Cancer. Int J Radiat Oncol Biol Phys. 2007;69:S116. - PubMed
    1. Wang J, Zhang D, Mayr NA, et al. Tumor Volume and Perfusion Parameters of Cervical Cancer During Therapy - Optimal Timing of Outcome Prediction; Proceeding of 93rd RSNA Annual Meeting; 2007.

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