SURG-11. TUMOR RECURRENCE PATTERNS AFTER SURGICAL RESECTION OF INTRACRANIAL LOW-GRADE GLIOMAS

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi197-vi197
Author(s):  
Yoshihiro Muragaki ◽  
Yasukazu Fukuya ◽  
Soko Ikuta ◽  
Masayuki NItta ◽  
Taiichi Saito ◽  
...  

Abstract INTRODUCTION Tumor recurrence patterns after resection of intracranial low-grade gliomas (LGG) generally remain obscured. The objective of the present retrospective study was their multifaceted analysis, evaluation of associated factors, and assessment of impact on prognosis. METHODS Study group comprised 81 consecutive adult patients (46 men and 35 women; median age, 37 years) with recurrent diffuse astrocytomas (DA; 51 cases) and oligodendrogliomas (OD; 30 cases). The median length of follow-up after primary surgery was 6.7 years. RESULTS Early (within 2 years after primary surgery) and non-early ( > 2 years after primary surgery) recurrence was noted in 23 (28%) and 58 (72%) cases, respectively. Fast (≤ 6 months) and slow ( > 6 months) radiological progression of relapse was noted in 31 (38%) and 48 (59%) cases, respectively. Tumor recurrence was local and non-local in 71 (88%) and 10 (12%) cases, respectively. Recurrence patterns have differed in OD, IDH1-mutant DA, and IDH wild-type DA. Early onset, fast radiological progression, and non-local site of relapse had statistically significant negative impact on overall survival of patients and were often associated with malignant transformation of the tumor (38 cases). However, in subgroup with extent of resection ≥ 90% (56 cases) no differences in recurrence characteristics were found between 3 molecularly defined groups of LGG. Follow-up MRI also showed same results. CONCLUSIONS Recurrence patterns after resection of LGG show significant variability, differ in distinct molecularly defined types of tumors, and demonstrate definitive impact on prognosis. Aggressive resection at the time of primary surgery may result in more favorable characteristics of recurrence at the time of its development.

2019 ◽  
Vol 144 (3) ◽  
pp. 519-528 ◽  
Author(s):  
Yasukazu Fukuya ◽  
Soko Ikuta ◽  
Takashi Maruyama ◽  
Masayuki Nitta ◽  
Taiichi Saito ◽  
...  

Neurosurgery ◽  
2019 ◽  
Vol 86 (2) ◽  
pp. 288-297 ◽  
Author(s):  
Mohamed A Zaazoue ◽  
Peter E Manley ◽  
Mohammed Al Mehdar ◽  
Nicole J Ullrich ◽  
Hormuzdiyar H Dasenbrock ◽  
...  

Abstract BACKGROUND Pediatric low-grade gliomas are among the most common childhood neoplasms, yet their post-treatment surveillance remains nonstandardized, relying on arbitrarily chosen imaging intervals. OBJECTIVE To optimize postoperative magnetic resonance imaging (MRI) surveillance protocols for pediatric low-grade gliomas. METHODS Patients aged 0 to 21 yr with pediatric low-grade gliomas, treated between 1990 and 2016 were retrospectively analyzed. The timing of surveillance imaging and radiologic tumor outcomes were extracted, and the effect of patient age, tumor location, histology, and extent of resection as prognostic factors was studied. An algorithm was developed to analyze the detection efficacy and cost of all possible surveillance protocols. RESULTS A total of 517 patients were included with a median follow-up of 7.7 yr (range: 2-25.1 yr) who underwent 8061 MRI scans (mean 15.6 scans per patient). Tumor recurrence was detected radiologically in 292 patients (56.5%), of whom, 143 underwent reoperation. The hazards ratio (HR) of recurrence was higher in patients who underwent biopsy (HR = 3.60; 95% confidence interval (CI): 2.45-5.30; P < .001), subtotal resection (HR = 2.97; 95% CI: 2.18-4.03; P < .001), and near-total resection (HR = 2.03; 95% CI: 1.16-3.54; P = .01), compared to patients with gross total resection (GTR). For all patients, an 8-image surveillance protocol at 0, 3, 6, 12, 24, 36, 60, and 72 mo (total cost: $13 672 per patient) yielded comparative detection rates to the current 15-image protocol ($25 635). For patients who underwent GTR, a 6-image protocol at 0, 3, 9, 24, 36, and 60 mo ($10 254) is sufficient. CONCLUSION Our data suggest that postoperative surveillance of pediatric low-grade gliomas can be effectively performed using less frequent imaging compared to current practice, thereby improving adherence to follow-up, and quality-of-life, while reducing costs.


2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Tamara Ius ◽  
Giada Pauletto ◽  
Daniela Cesselli ◽  
Miriam Isola ◽  
Luca Turella ◽  
...  

Background. Given the technical difficulties, a limited number of works have been published on insular gliomas surgery and risk factors for tumor recurrence (TR) are poorly documented.Objective. The aim of the study was to determine TR in adult patients with initial diagnosis of insular Low-Grade Gliomas (LGGs) that subsequently underwent second surgery.Methods. A consecutive series of 53 patients with insular LGGs was retrospectively reviewed; 23 patients had two operations for TR.Results. At the time of second surgery, almost half of the patients had experienced progression into high-grade gliomas (HGGs). Univariate analysis showed that TR is influenced by the following: extent of resection (EOR) (P<0.002), ΔVT2T1value (P<0.001), histological diagnosis of oligodendroglioma (P=0.017), and mutation of IDH1 (P=0.022). The multivariate analysis showed that EOR at first surgery was the independent predictor for TR (P<0.001).Conclusions. In patients with insular LGG the EOR at first surgery represents the major predictive factor for TR. At time of TR, more than 50% of cases had progressed in HGG, raising the question of the oncological management after the first surgery.


Neurosurgery ◽  
2011 ◽  
Vol 68 (6) ◽  
pp. 1548-1555 ◽  
Author(s):  
Jeffrey H. Wisoff ◽  
Robert A. Sanford ◽  
Linda A. Heier ◽  
Richard Sposto ◽  
Peter C. Burger ◽  
...  

Abstract BACKGROUND: Central nervous system neoplasms are the most common solid tumors in children, and more than 40% are low-grade gliomas. Variable locations, extent of resection, postoperative neurodiagnostic evaluation, and histology have confounded therapy and outcome. OBJECTIVES: To investigate disease control and survival after surgery. METHODS: A prospective natural history trial from 1991 to 1996 produced a subset of patients with low-grade gliomas managed by primary surgery and subsequent observation. Patients were evaluable if eligibility, tumor location, and extent of resection were confirmed by pathological diagnosis, preoperative and postoperative imaging, and the surgeon's report. Primary end points were overall survival (OS), progression-free survival (PFS), and postprogression survival. RESULTS: Of 726 patients enrolled, 518 were fully evaluable for analysis. The 5- and 8-year OS rates were 97% ± 0.8% and 96% ± 0.9%, respectively, and PFS rates were 80% ± 1.8% and 78% ± 2.0%. In univariate analyses, histological type, extent of residual tumor, and disease site were significantly associated with PFS and OS. In multivariate analysis, gross total resection (GTR) without residual disease was the predominant predictor of PFS. In patients with limited residual disease, 56% were free of progression at 5 years. CONCLUSION: GTR should be the goal when it can be achieved with an acceptable functional outcome. The variable rate of progression after incomplete resection highlights the need for new predictors of tumor behavior.


2020 ◽  
Vol 10 (7) ◽  
pp. 463 ◽  
Author(s):  
Muhaddisa Barat Ali ◽  
Irene Yu-Hua Gu ◽  
Mitchel S. Berger ◽  
Johan Pallud ◽  
Derek Southwell ◽  
...  

Brain tumors, such as low grade gliomas (LGG), are molecularly classified which require the surgical collection of tissue samples. The pre-surgical or non-operative identification of LGG molecular type could improve patient counseling and treatment decisions. However, radiographic approaches to LGG molecular classification are currently lacking, as clinicians are unable to reliably predict LGG molecular type using magnetic resonance imaging (MRI) studies. Machine learning approaches may improve the prediction of LGG molecular classification through MRI, however, the development of these techniques requires large annotated data sets. Merging clinical data from different hospitals to increase case numbers is needed, but the use of different scanners and settings can affect the results and simply combining them into a large dataset often have a significant negative impact on performance. This calls for efficient domain adaption methods. Despite some previous studies on domain adaptations, mapping MR images from different datasets to a common domain without affecting subtitle molecular-biomarker information has not been reported yet. In this paper, we propose an effective domain adaptation method based on Cycle Generative Adversarial Network (CycleGAN). The dataset is further enlarged by augmenting more MRIs using another GAN approach. Further, to tackle the issue of brain tumor segmentation that requires time and anatomical expertise to put exact boundary around the tumor, we have used a tight bounding box as a strategy. Finally, an efficient deep feature learning method, multi-stream convolutional autoencoder (CAE) and feature fusion, is proposed for the prediction of molecular subtypes (1p/19q-codeletion and IDH mutation). The experiments were conducted on a total of 161 patients consisting of FLAIR and T1 weighted with contrast enhanced (T1ce) MRIs from two different institutions in the USA and France. The proposed scheme is shown to achieve the test accuracy of 74 . 81 % on 1p/19q codeletion and 81 . 19 % on IDH mutation, with marked improvement over the results obtained without domain mapping. This approach is also shown to have comparable performance to several state-of-the-art methods.


2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii386-iii386
Author(s):  
Nune Karapetyan ◽  
Samvel Danielyan ◽  
Gevorg Tamamyan ◽  
Armen Tananyan ◽  
Liana Safaryan ◽  
...  

Abstract BACKGROUND Central nervous system (CNS) tumors are the second most common malignant neoplasms among children worldwide. The current paper aims to analyze the situation in pediatric neuro-oncology in Armenia from the neurosurgical perspective. METHODS We have collected data of pediatric patients with CNS tumors treated in the Neurosurgery department of “Surb Astvasamayr” Medical Center from 01.01.2010 till 01.12.2019. Incidence by gender, age at diagnosis, and histopathology results were calculated. Survival rates were calculated based on the follow-up results performed until 30.12.2019. RESULTS Hospital-based data showed that during the previous 10 years 47 patients with CNS tumors received neurosurgical treatment in the unit, among them 66% were females. 38.3%, 31.9% and 29.8% of diagnosed patients were aged 0–4, 5–9, and 10–18 respectively. In 41 cases, the disease was not disseminated at diagnosis. The most common observed malignancies were low-grade gliomas (21.3%) and embryonal tumors (19.1%), followed by high-grade gliomas (14.9%) and ependymal tumors (8.5%). Follow-up information only for 33 patients is available. From them, 14 are dead and 19 alive. Survival rates in most common groups were 62.5%, 80%, 50%, and 50% respectively. The median follow-up time was 18 months (range 1–113 months). CONCLUSION Similar to the data reported in the literature, low-grade gliomas, and embryonal tumors are the most frequent pediatric CNS tumors in Armenia. On the other hand, the pediatric CNS tumor survival rates are lower compared to those reported in developed countries.


Neurosurgery ◽  
2017 ◽  
Vol 82 (6) ◽  
pp. 808-814 ◽  
Author(s):  
Toral Patel ◽  
Evan D Bander ◽  
Rachael A Venn ◽  
Tiffany Powell ◽  
Gustav Young-Min Cederquist ◽  
...  

Abstract BACKGROUND Maximizing extent of resection (EOR) improves outcomes in adults with World Health Organization (WHO) grade II low-grade gliomas (LGG). However, recent studies demonstrate that LGGs bearing a mutation in the isocitrate dehydrogenase 1 (IDH1) gene are a distinct molecular and clinical entity. It remains unclear whether maximizing EOR confers an equivalent clinical benefit in IDH mutated (mtIDH) and IDH wild-type (wtIDH) LGGs. OBJECTIVE To assess the impact of EOR on malignant progression-free survival (MPFS) and overall survival (OS) in mtIDH and wtIDH LGGs. METHODS We performed a retrospective review of 74 patients with WHO grade II gliomas and known IDH mutational status undergoing resection at a single institution. EOR was assessed with quantitative 3-dimensional volumetric analysis. The effect of predictor variables on MPFS and OS was analyzed with Cox regression models and the Kaplan–Meier method. RESULTS Fifty-two (70%) mtIDH patients and 22 (30%) wtIDH patients were included. Median preoperative tumor volume was 37.4 cm3; median EOR of 57.6% was achieved. Univariate Cox regression analysis confirmed EOR as a prognostic factor for the entire cohort. However, stratifying by IDH status demonstrates that greater EOR independently prolonged MPFS and OS for wtIDH patients (hazard ratio [HR] = 0.002 [95% confidence interval {CI} 0.000-0.074] and HR = 0.001 [95% CI 0.00-0.108], respectively), but not for mtIDH patients (HR = 0.84 [95% CI 0.17-4.13] and HR = 2.99 [95% CI 0.15-61.66], respectively). CONCLUSION Increasing EOR confers oncologic and survival benefits in IDH1 wtLGGs, but the impact on IDH1 mtLGGs requires further study.


2017 ◽  
Vol 35 (25) ◽  
pp. 2934-2941 ◽  
Author(s):  
Alvaro Lassaletta ◽  
Michal Zapotocky ◽  
Matthew Mistry ◽  
Vijay Ramaswamy ◽  
Marion Honnorat ◽  
...  

Purpose BRAF V600E is a potentially highly targetable mutation detected in a subset of pediatric low-grade gliomas (PLGGs). Its biologic and clinical effect within this diverse group of tumors remains unknown. Patients and Methods A combined clinical and genetic institutional study of patients with PLGGs with long-term follow-up was performed (N = 510). Clinical and treatment data of patients with BRAF V600E mutated PLGG (n = 99) were compared with a large international independent cohort of patients with BRAF V600E mutated-PLGG (n = 180). Results BRAF V600E mutation was detected in 69 of 405 patients (17%) with PLGG across a broad spectrum of histologies and sites, including midline locations, which are not often routinely biopsied in clinical practice. Patients with BRAF V600E PLGG exhibited poor outcomes after chemotherapy and radiation therapies that resulted in a 10-year progression-free survival of 27% (95% CI, 12.1% to 41.9%) and 60.2% (95% CI, 53.3% to 67.1%) for BRAF V600E and wild-type PLGG, respectively ( P < .001). Additional multivariable clinical and molecular stratification revealed that the extent of resection and CDKN2A deletion contributed independently to poor outcome in BRAF V600E PLGG. A similar independent role for CDKN2A and resection on outcome were observed in the independent cohort. Quantitative imaging analysis revealed progressive disease and a lack of response to conventional chemotherapy in most patients with BRAF V600E PLGG. Conclusion BRAF V600E PLGG constitutes a distinct entity with poor prognosis when treated with current adjuvant therapy.


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