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Can I read Translating Response During Therapy into Ultimate Treatment Outcome: A Personalized 4-Dimensional MRI Tumor Volumetric Regression Approach in Cervical Cancer on EtoBox?
Translating Response During Therapy into Ultimate Treatment Outcome: A Personalized 4-Dimensional MRI Tumor Volumetric Regression Approach in Cervical Cancer by Nina A. Mayr; Jian Z. Wang; Simon S. Lo; Dongqing Zhang; John C. Grecula; Lanchun Lu; Joseph F. Montebello; Jeffrey M. Fowler; William T.C. Yuh is a Medicine article available to read on EtoBox.
What is Translating Response During Therapy into Ultimate Treatment Outcome: A Personalized 4-Dimensional MRI Tumor Volumetric Regression Approach in Cervical Cancer about?
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 IB 2 -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%
Who reads Translating Response During Therapy into Ultimate Treatment Outcome: A Personalized 4-Dimensional MRI Tumor Volumetric Regression Approach in Cervical Cancer?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Nina A. Mayr; Jian Z. Wang; Simon S. Lo; Dongqing Zhang; John C. Grecula; Lanchun Lu; Joseph F. Montebello; Jeffrey M. Fowler; William T.C. Yuh
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0360-3016)
- Published
- 2010
- Language
- EN
- Field
- Medicine (Health Sciences)