Study About the Validity of MRS-guided Resection on Prognosis High-grade Glioma Gliomas
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|ClinicalTrials.gov Identifier: NCT02795364|
Recruitment Status : Unknown
Verified June 2016 by Jinsong Wu, Huashan Hospital.
Recruitment status was: Not yet recruiting
First Posted : June 10, 2016
Last Update Posted : June 10, 2016
|Condition or disease||Intervention/treatment||Phase|
|Glioma Anaplastic Oligoastrocytoma Glioblastomas (GBM)||Procedure: Structural Image Guidance Procedure: Metabolic Image Guidance||Not Applicable|
High-grade glioma(HGG), including anaplastic glioma (AG) and Glioblastomas (GBM), are associated with poor prognosis, even with all the scientific development of the last decades, attributed to optimally treated with maximum safe surgery, followed by radiotherapy (RT) and/or systemic chemotherapy (CT). Despite recent advances in treatment, the prognosis of HGG remains poor with comparatively short overall survival (OS) and importantly profound impact on quality of life (QoL).Admittedly,multiple factors are related to their outcome, including age, biological characteristics of the tumor, and extent of treatment. Notably, extent of resection (EOR) plays a major role as an independent modifiable factor associated with improved overall and progression-free survival. Achievement of maximal safe resection, removing as much as possible the tumor while preserving the neurological function, is the main goal of the current surgical treatment of High-grade glioma (HGG).
Many researchers took into study about the extent of surgery ,despite exist various editions,produced similar results, although only one randomized controlled trial(RCT) provided 1-year PFS data and there was no significant difference between total resection and incomplete resection in that study. It suggests that should push the delineation of tumour outward for better prognosis.therefore,the core of conservation point to the simon-pure margins that proximate to histopathologic periphery of HGG.Consequently, analyses showed that the resection of ≥ 53.21% of the surrounding FLAIR abnormality beyond the 100% contrast-enhancing resection was associated with a significant prolongation of survival compared with that following less extensive resections,neo-FLAIR abnormality region is gradually coming into people' vision,supportive evidence is warranted for the relationship of extensive resection and reasonable prognosis,which equal to draw the scope of tumour margins that has been put forward to sketch via metabolic information.
During previous clinical practice,the investigators have researched that the correlation of metabolic information and tumour identification about true-false type,study suggests that Cho/tNAA ratio threshold values of 0.5, 1.0, 1.5 and 2.0 appeared to predict the specie-mens containing the tumour with respective probabilities of 0.38, 0.60, 0.79, 0.90 in HGG and 0.16, 0.39, 0.67, 0.87 in LGG,it is interesting to reveal the metabolic action of true-tumour,and immediately the other work projected by our group found that the differences between the structural and the metabolic volumes with Cho/tNAA ratio(CNI) thresholds of 0.5 and 1.5 were statistically significant (p = 0.0005 and 0.0129, respectively) and 0.5 and 1.0 were statistically significant in HGG.Problem,whether operation that resect by delineation at Cho/tNAA ratio threshold 1.0 can bring better outcome ,remains to be solved,namely,the investigators need further clinical evidence .
Based on this thoughtfulness, this prospective cohort study is to provide a reasonable evidence for the correlation between metabolic-guide resection and the prognosis of the HGGs , cohorts contain 25 cases in the arm group and 25 cases in the control group.Respectively receive different operation project followed by statistical analysis aim at overall survival (OS)and progression free survival (PFS).Definitively,the investigators hope to draw a conclusion that armed group has better outcome,like that,studies have a step in the course of HGG therapy.
|Study Type :||Interventional (Clinical Trial)|
|Estimated Enrollment :||50 participants|
|Intervention Model:||Parallel Assignment|
|Masking:||Triple (Care Provider, Investigator, Outcomes Assessor)|
|Official Title:||A Prospective Study About the Validity of MRS-guided Resection on Prognosis High-grade Gliomas|
|Study Start Date :||June 2016|
|Estimated Primary Completion Date :||May 2017|
|Estimated Study Completion Date :||May 2018|
Active Comparator: Structural Image Guidance
In this arm, the patients will receive maximum resection of the tumor with the MRI T1W-enhanced image guidance, in addition to the standard therapy
Procedure: Structural Image Guidance
Resecting the tumor in accordance with the margin on MRI T1W-enhanced delineation
Experimental: Metabolic Image Guidance
In this arm, the patients will receive quantitative resection of the tumor with both the MRI T1W-enhanced and the MRS Cho-to-NAA index (CNI) image guidance, in addition to the standard therapy.
Procedure: Metabolic Image Guidance
Aggressive resecting of the tumor in accordance with the margin on MRS CNI delineation
- Overall survival [ Time Frame: within 1 year after the surgery ]To determine time to death in the enrolled patients.
- Progression free survival (PFS) [ Time Frame: within 1 year after the surgery ]The survival rate of followed patients without progressive disease (PD) 3, 6, 9, and 12 months after the operation,To determine time to tumor progression in this The survival rate of followed patients without progressive disease (PD) 3,6, 9,and 12 months after the operation,To determine time to tumor progression in this patient population
- Karnofsky performance status (KPS) [ Time Frame: 3, 6, 9 and 12 months after the surgery ]
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02795364
|Contact: Jinsong Wu, Professor||86 21 email@example.com|
|Contact: Huashan Hospital Fudan University, Professor||86 21 firstname.lastname@example.org|
|Principal Investigator:||Jinsong Wu, Professor||Huashan Hospital|