International Journal of Radiation Oncology * Biology * Physics
Volume 76, Issue 3 , Pages 719-727, 1 March 2010

Translating Response During Therapy into Ultimate Treatment Outcome: A Personalized 4-Dimensional MRI Tumor Volumetric Regression Approach in Cervical Cancer

  • Nina A. Mayr, M.D.

      Affiliations

    • Department of Radiation Medicine, Ohio State University, Columbus, OH
    • Corresponding Author InformationReprint requests to: Dr. Nina A. Mayr, Department of Radiation Medicine, Ohio State University, Arthur James Cancer Hospital, 300 W. 10th Avenue, Room 088B, Columbus, OH 43210. Tel: (614) 293-3244; Fax: (614) 293-4044
  • ,
  • Jian Z. Wang, Ph.D.

      Affiliations

    • Department of Radiation Medicine, Ohio State University, Columbus, OH
  • ,
  • Simon S. Lo, M.D.

      Affiliations

    • Department of Radiation Medicine, Ohio State University, Columbus, OH
  • ,
  • Dongqing Zhang, Ph.D.

      Affiliations

    • Department of Radiation Medicine, Ohio State University, Columbus, OH
  • ,
  • John C. Grecula, M.D.

      Affiliations

    • Department of Radiation Medicine, Ohio State University, Columbus, OH
  • ,
  • Lanchun Lu, Ph.D.

      Affiliations

    • Department of Radiation Medicine, Ohio State University, Columbus, OH
  • ,
  • Joseph F. Montebello, M.D.

      Affiliations

    • Department of Radiation Medicine, Ohio State University, Columbus, OH
  • ,
  • Jeffrey M. Fowler, M.D.

      Affiliations

    • Department of Obstetrics and Gynecology, Ohio State University, Columbus, OH
  • ,
  • William T.C. Yuh, M.D., M.S.E.E.

      Affiliations

    • Department of Radiology, Ohio State University, Columbus, OH

Received 10 November 2008; received in revised form 11 January 2009; accepted 9 February 2009. published online 24 July 2009.

Purpose

To assess individual volumetric tumor regression pattern in cervical cancer during therapy using serial four-dimensional MRI and to define the regression parameters' prognostic value validated with local control and survival correlation.

Methods and Materials

One hundred and fifteen patients with Stage IB2–IVA cervical cancer treated with radiation therapy (RT) underwent serial MRI before (MRI 1) and during RT, at 2–2.5 weeks (MRI 2, at 20–25 Gy), and at 4–5 weeks (MRI 3, at 40–50 Gy). Eighty patients had a fourth MRI 1–2 months post-RT. Mean follow-up was 5.3 years. Tumor volume was measured by MRI-based three-dimensional volumetry, and plotted as dose(time)/volume regression curves. Volume regression parameters were correlated with local control, disease-specific, and overall survival.

Results

Residual tumor volume, slope, and area under the regression curve correlated significantly with local control and survival. Residual volumes ≥20% at 40–50 Gy were independently associated with inferior 5-year local control (53% vs. 97%, p <0.001) and disease-specific survival rates (50% vs. 72%, p = 0.009) than smaller volumes. Patients with post-RT residual volumes ≥10% had 0% local control and 17% disease-specific survival, compared with 91% and 72% for <10% volume (p <0.001).

Conclusion

Using more accurate four-dimensional volumetric regression analysis, tumor response can now be directly translated into individual patients' outcome for clinical application. Our results define two temporal thresholds critically influencing local control and survival. In patients with ≥20% residual volume at 40–50 Gy and ≥10% post-RT, the risk for local failure and death are so high that aggressive intervention may be warranted.

Cervical cancer, Tumor volume, Tumor volume regression, Magnetic resonance imaging

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 This research was supported by the National Institutes of Health (Contract Grant No. RO1 CA 71906).

 Conflict of interest: none.

PII: S0360-3016(09)00328-9

doi:10.1016/j.ijrobp.2009.02.036

International Journal of Radiation Oncology * Biology * Physics
Volume 76, Issue 3 , Pages 719-727, 1 March 2010