scholarly journals Long-Term Survival and Complete Response of a Patient with Recurrent Diffuse Intrinsic Brain Stem Glioblastoma Multiforme

2004 ◽  
Vol 3 (3) ◽  
pp. 257-261 ◽  
Author(s):  
Stanislaw R. Burzynski ◽  
Robert I. Lewy ◽  
Robert Weaver ◽  
Tomasz Janicki ◽  
Gabor Jurida ◽  
...  
Cureus ◽  
2021 ◽  
Author(s):  
Omar Rabab'h ◽  
Ali Al-Ramadan ◽  
Jawad Shah ◽  
Hugo Lopez-Negrete ◽  
Abeer Gharaibeh

2021 ◽  
Vol 12 ◽  
Author(s):  
Bidhan Lamichhane ◽  
Andy G. S. Daniel ◽  
John J. Lee ◽  
Daniel S. Marcus ◽  
Joshua S. Shimony ◽  
...  

Glioblastoma multiforme (GBM) is the most frequently occurring brain malignancy. Due to its poor prognosis with currently available treatments, there is a pressing need for easily accessible, non-invasive techniques to help inform pre-treatment planning, patient counseling, and improve outcomes. In this study we determined the feasibility of resting-state functional connectivity (rsFC) to classify GBM patients into short-term and long-term survival groups with respect to reported median survival (14.6 months). We used a support vector machine with rsFC between regions of interest as predictive features. We employed a novel hybrid feature selection method whereby features were first filtered using correlations between rsFC and OS, and then using the established method of recursive feature elimination (RFE) to select the optimal feature subset. Leave-one-subject-out cross-validation evaluated the performance of models. Classification between short- and long-term survival accuracy was 71.9%. Sensitivity and specificity were 77.1 and 65.5%, respectively. The area under the receiver operating characteristic curve was 0.752 (95% CI, 0.62–0.88). These findings suggest that highly specific features of rsFC may predict GBM survival. Taken together, the findings of this study support that resting-state fMRI and machine learning analytics could enable a radiomic biomarker for GBM, augmenting care and planning for individual patients.


2008 ◽  
Vol 101 (9) ◽  
pp. 971-972 ◽  
Author(s):  
Mohammad Sami Walid ◽  
Hugh F. Smisson ◽  
Joe Sam Robinson

2004 ◽  
Vol 101 (2) ◽  
pp. 219-226 ◽  
Author(s):  
Naoki Shinojima ◽  
Masato Kochi ◽  
Jun-Ichiro Hamada ◽  
Hideo Nakamura ◽  
Shigetoshi Yano ◽  
...  

Object. Glioblastoma multiforme (GBM) remains incurable by conventional treatments, although some patients experience long-term survival. A younger age, a higher Karnofsky Performance Scale (KPS) score, more aggressive treatment, and long progression-free intervals have been reported to be positively associated with long-term postoperative patient survival. The aim of this retrospective study was the identification of additional favorable prognostic factors affecting long-term survival in surgically treated adult patients with supratentorial GBM. Methods. Of 113 adult patients newly diagnosed with histologically verified supratentorial GBM who were enrolled in Phase III trials during the period between 1987 and 1998, six (5.3%) who survived for longer than 5 years were defined as long-term survivors, whereas the remaining 107 patients served as controls. All six were women and were compared with the controls; they were younger (mean age 44.2 years, range 31–60 years), and their preoperative KPS scores were higher (mean 85, range 60–100). Four of the six patients underwent gross-total resection. In five patients (83.3%) the progression-free interval was longer than 5 years and in three a histopathological diagnosis of giant cell GBM was made. This diagnosis was not made in the other 107 patients. Conclusions. Among adult patients with supratentorial GBM, female sex and histopathological characteristics consistent with giant cell GBM may be predictive of a better survival rate, as may traditional factors (that is, younger age, good KPS score, more aggressive resection, and a long progression-free interval).


Cancer ◽  
2003 ◽  
Vol 98 (8) ◽  
pp. 1745-1748 ◽  
Author(s):  
Roger E. McLendon ◽  
Edward C. Halperin

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