Multicenter imaging outcomes study of The Cancer Genome Atlas glioblastoma patient cohort: imaging predictors of overall and progression-free survival.

نویسندگان

  • Pattana Wangaryattawanich
  • Masumeh Hatami
  • Jixin Wang
  • Ginu Thomas
  • Adam Flanders
  • Justin Kirby
  • Max Wintermark
  • Erich S Huang
  • Ali Shojaee Bakhtiari
  • Markus M Luedi
  • Syed S Hashmi
  • Daniel L Rubin
  • James Y Chen
  • Scott N Hwang
  • John Freymann
  • Chad A Holder
  • Pascal O Zinn
  • Rivka R Colen
چکیده

BACKGROUND Despite an aggressive therapeutic approach, the prognosis for most patients with glioblastoma (GBM) remains poor. The aim of this study was to determine the significance of preoperative MRI variables, both quantitative and qualitative, with regard to overall and progression-free survival in GBM. METHODS We retrospectively identified 94 untreated GBM patients from the Cancer Imaging Archive who had pretreatment MRI and corresponding patient outcomes and clinical information in The Cancer Genome Atlas. Qualitative imaging assessments were based on the Visually Accessible Rembrandt Images feature-set criteria. Volumetric parameters were obtained of the specific tumor components: contrast enhancement, necrosis, and edema/invasion. Cox regression was used to assess prognostic and survival significance of each image. RESULTS Univariable Cox regression analysis demonstrated 10 imaging features and 2 clinical variables to be significantly associated with overall survival. Multivariable Cox regression analysis showed that tumor-enhancing volume (P = .03) and eloquent brain involvement (P < .001) were independent prognostic indicators of overall survival. In the multivariable Cox analysis of the volumetric features, the edema/invasion volume of more than 85 000 mm(3) and the proportion of enhancing tumor were significantly correlated with higher mortality (Ps = .004 and .003, respectively). CONCLUSIONS Preoperative MRI parameters have a significant prognostic role in predicting survival in patients with GBM, thus making them useful for patient stratification and endpoint biomarkers in clinical trials.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Imaging descriptors improve the predictive power of survival models for glioblastoma patients.

BACKGROUND Because effective prediction of survival time can be highly beneficial for the treatment of glioblastoma patients, the relationship between survival time and multiple patient characteristics has been investigated. In this paper, we investigate whether the predictive power of a survival model based on clinical patient features improves when MRI features are also included in the model....

متن کامل

Prognostic value of various metabolic parameters on pre-treatment 18-F-FDG PET/CT in patients with stage I-III non-small cell lung cancer

Background: the aim of this study was to investigate the prognostic value of 18Fluorine-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) parameters in both overall survival and progression-free survival in Stage I-III non-small cell lung cancer (NSCLC). Materials and Methods: In this retrospective study, 267 patients who were diagnosed as Stage I-III non-smal...

متن کامل

The Clinical and Prognostic Significance of Triple-Negative Status Invasive Breast Cancer in a Sample of Iraqi Women

Introduction: Triple-negative breast cancer (TNBC) is a type of breast cancer that is negative for estrogen receptor, progesterone receptor, and HER2. This study aimed to evaluate the clinical outcomes and short-term prognosis of this type of cancer compared with other subtypes of breast cancer. Methods: A cross-sectional study was conducted on 108 women with invasive breast cancer. The patie...

متن کامل

Radiologically defined ecological dynamics and clinical outcomes in glioblastoma multiforme: preliminary results.

MATERIALS AND METHODS We examined pretreatment magnetic resonance imaging (MRI) examinations from 32 patients with glioblastoma multiforme (GBM) enrolled in The Cancer Genome Atlas (TCGA). Spatial variations in T1 post-gadolinium and either T2-weighted or fluid attenuated inversion recovery sequences from each tumor MRI study were used to characterize each small region of the tumor by its local...

متن کامل

Computational Identification of Tumor Anatomic Location Associated with Survival in 2 Large Cohorts of Human Primary Glioblastomas.

BACKGROUND AND PURPOSE Tumor location has been shown to be a significant prognostic factor in patients with glioblastoma. The purpose of this study was to characterize glioblastoma lesions by identifying MR imaging voxel-based tumor location features that are associated with tumor molecular profiles, patient characteristics, and clinical outcomes. MATERIALS AND METHODS Preoperative T1 anatomi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Neuro-oncology

دوره 17 11  شماره 

صفحات  -

تاریخ انتشار 2015