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Volumetric assessment of apparent diffusion coefficient predicts outcome following chemoradiation for cervical cancer.
Ho, Jennifer C; Fang, Penny; Cardenas, Carlos E; Mohamed, Abdallah S R; Fuller, Clifton D; Allen, Pamela K; Bhosale, Priya R; Frumovitz, Michael M; Jhingran, Anuja; Klopp, Ann H.
Afiliação
  • Ho JC; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States.
  • Fang P; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States.
  • Cardenas CE; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, United States.
  • Mohamed ASR; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States.
  • Fuller CD; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States.
  • Allen PK; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, United States.
  • Bhosale PR; Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, United States.
  • Frumovitz MM; Department of Gynecologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States.
  • Jhingran A; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States.
  • Klopp AH; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States. Electronic address: aklopp@mdanderson.org.
Radiother Oncol ; 135: 58-64, 2019 06.
Article em En | MEDLINE | ID: mdl-31015171
ABSTRACT

OBJECTIVE:

To determine the utility of volumetric diffusion weighted imaging (DWI) compared to other clinical factors for predicting recurrence and survival in cervical cancer patients treated with definitive chemoradiation. METHODS AND MATERIALS We retrospectively studied cervical cancer patients treated with definitive chemoradiation between 2009-2013 at a single institution with a baseline MRI with DWI and 18F-FDG positron emission tomography/computed tomography (FDG-PET) scan. To identify clinical and imaging metrics correlated with survival and recurrence endpoints, variable importance values were calculated from random forest models. To provide clinically relevant threshold values, recursive partitioning analysis dichotomized patients into potential risk groups based on selected metrics. Cox's proportional hazard models assessed the effect of clinical and imaging factors on survival endpoints.

RESULTS:

Ninety-three patients were included in the analysis (median age 50 years). At a median follow-up of 35.6 months, 32 patients (34%) had disease recurrence. In the best multivariate model including clinical and imaging parameters, 90th percentile ADC < 1.917 was the only significantly associated factor with worse progression free survival (PFS). Overall survival, PFS, and distant metastasis free survival (DMFS) were significantly different between patient groups divided on 90th percentile ADC with threshold of 1.917 × 10-3 mm2/s and MRI volume with threshold of 18.9 cc (P = 0.037, P = 0.0002, P = 0.001). High MRI volume and low ADC were associated with worse clinical outcomes.

CONCLUSIONS:

Volumetric 90th percentile ADC value of the primary tumor on pretreatment MRI was a significant predictor of PFS and DMFS in cervical cancer patients, independent of established clinical factors and SUV on FDG-PET.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias do Colo do Útero Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias do Colo do Útero Idioma: En Ano de publicação: 2019 Tipo de documento: Article