Longitudinal MRI evidence for decreased survival among periventricular glioblastoma

Young, Geoffrey S.; Macklin, Eric A.; Setayesh, K.; Lawson, Joshua D.; Wen, Patrick Y.; Norden, Andrew D.; Drappatz, Jan; Kesari, Santosh

doi:10.1007/s11060-010-0477-1

Cited by 55 publications

(59 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Repeated brain MRI scans are performed in many clinical scenarios, such as follow up of patients with tumors and therapy response assessment (Rees et al, 2009;Young et al, 2011;Weizman et al, 2012;Yip et al, 2014;Weizman et al, 2014). They constitute one of the most efficient tools to track pathology changes and to evaluate treatment efficacy in brain diseases.…”

Section: Introductionmentioning

confidence: 99%

Compressed sensing for longitudinal MRI: An adaptive‐weighted approach

2015

View full text Add to dashboard Cite

Purpose: Repeated brain MRI scans are performed in many clinical scenarios, such as follow up of patients with tumors and therapy response assessment. In this paper, the authors show an approach to utilize former scans of the patient for the acceleration of repeated MRI scans.Methods: The proposed approach utilizes the possible similarity of the repeated scans in longitudinal MRI studies. Since similarity is not guaranteed, sampling and reconstruction are adjusted during acquisition to match the actual similarity between the scans. The baseline MR scan is utilized both in the sampling stage, via adaptive sampling, and in the reconstruction stage, with weighted reconstruction. In adaptive sampling, k -space sampling locations are optimized during acquisition. Weighted reconstruction uses the locations of the nonzero coefficients in the sparse domains as a prior in the recovery process. The approach was tested on 2D and 3D MRI scans of patients with brain tumors.Results: The longitudinal adaptive CS MRI (LACS-MRI) scheme provides reconstruction quality which outperforms other CS-based approaches for rapid MRI. Examples are shown on patients with brain tumors and demonstrate improved spatial resolution. Compared with data sampled at Nyquist rate, LACS-MRI exhibits Signal-to-Error Ratio (SER) of 24.8dB with undersampling factor of 16.6 in 3D MRI.Conclusions reconstruction utilizing similarity of scans in longitudinal MRI studies, where possible. The proposed approach can play a major part and significantly reduce scanning time in many applications that consist of disease follow-up and monitoring of longitudinal changes in brain MRI.

show abstract

Section: Introductionmentioning

confidence: 99%

Compressed sensing for longitudinal MRI: An adaptive‐weighted approach

2015

View full text Add to dashboard Cite

show abstract

“…Recent clinical studies have suggested that lateral ventricle contact (LVC) of contrast-enhancing lesions (CELs) detected preoperatively by magnetic resonance imaging (MRI) are associated with poor survival in glioblastoma patients [4], and it was proposed that a more aggressive glioblastoma may originate from neural stem cells in the subventricular zone (SVZ) that have a propensity for invasion and proliferation [2,5,6]. In addition, LV-contacting and non-LV-contacting glioblastomas (LVCGs and NLVCGs, respectively) may have different cellular origins and compositions that could also have clinical implications.…”

Section: Introductionmentioning

confidence: 99%

“…However, previous studies did not examine molecular markers such as O 6 -methylguanine DNA methyltransferase (MGMT) promoter methylation [7] and isocitrate dehydrogenase (IDH) 1 mutation status [8,9] when evaluating the prognostic significance of LVC after standard therapy. Moreover, there is evidence that LVC may not reflect the point of origin of glioblastomas, and cannot be used to determine the cell of origin [10].…”

Section: Introductionmentioning

confidence: 99%

Can lateral ventricle contact predict the ontogeny and prognosis of glioblastoma?

Han

Qiu

et al. 2015

J Neurooncol

View full text Add to dashboard Cite

Lateral ventricle contact (LVC) by glioblastomas has been proposed to reveal their origin and may have prognostic value; however, results from previous studies have been controversial. This study explored the association between LVC and tumor origin and prognosis in glioblastoma patients. Magnetic resonance imaging and clinical data from 115 glioma patients were retrospectively reviewed, and Kaplan-Meier analysis and Cox proportional hazards models were used to assess the occurrence of LVC as a function of survival in 43 glioblastoma patients. The mRNA expression profiles were compared by microarray analysis in LV-contacting and non-LV-contacting glioblastomas (LVCGs and NLVCGs, respectively). The sphere-forming and invasive capabilities of LVCG- and NLVCG-derived stem cells were compared in primary glioma stem cell cultures with tumorsphere formation and Matrigel assays, respectively. LVC was more frequently detected in high-grade gliomas which, along with LVCGs, were significantly larger than low-grade gliomas and NLVCGs. LVC parameters were not independent predictors of glioblastoma patient prognosis; the expression profiles (including stemness genes expression) were similar between LVCGs and NLVCGs, and no significant differences were observed in tumorsphere-forming capacity and invasiveness between stem cells derived from the two glioblastoma types. Our results suggest that the origin of glioblastomas cannot be simply estimated by radiographic LVC, and after standard therapy the prognostic value of LVC needs to be carefully interpreted.

show abstract

“…Furthermore, those patients with SVZ involvement had an overall reduced survival as well as a decreased time until recurrence compared to those tumors not involving the SVZ. In addition, an analysis of 39 newly diagnosed GBM patients revealed that tumor SVZ involvement was a signifi cant predictor in reduced overall survival [ 38 ].…”

Section: Clinical and Therapeutic Implicationsmentioning

confidence: 99%

The SVZ and Its Relationship to Stem Cell Based Neuro-oncogenesis

Kusne

Sanai

2015

Advances in Experimental Medicine and Biology

View full text Add to dashboard Cite

Gliomas are primary cancers of the brain and the most lethal cancers known to man. In recent years the discovery of germinal regions in the postnatal brain containing neuronal stem and progenitor cell populations has led to the hypothesis that these cells may themselves serve as an origin of brain tumors. Stem cells that reside within the glioma tumor have been shown to display nonneoplastic stem-like characteristics, including expression of various stem cell markers, as well as capacity for self-renewal and multipotency. Furthermore, glioma tumors display marked similarities to the germinal regions of the brain. Investigations of human neural stem cells and their potential for malignancy may finally identify a cell-of-origin for human gliomas. This, in turn, may facilitate better therapeutic targeting leading to improved prognosis for glioma patients.

show abstract

Longitudinal MRI evidence for decreased survival among periventricular glioblastoma

Cited by 55 publications

References 15 publications

Compressed sensing for longitudinal MRI: An adaptive‐weighted approach

Compressed sensing for longitudinal MRI: An adaptive‐weighted approach

Can lateral ventricle contact predict the ontogeny and prognosis of glioblastoma?

The SVZ and Its Relationship to Stem Cell Based Neuro-oncogenesis

Contact Info

Product

Resources

About