scholarly journals A measure of vascular reactivity to overcome neurovascular uncoupling in functional imaging of brain tumors: initial results

2017 ◽  
Author(s):  
Henning U. Voss ◽  
Kyung K. Peck ◽  
Nicole M. Petrovich Brennan ◽  
Andrei I. Holodny
Keyword(s):  
Brain Tumors ◽  
Vascular Reactivity ◽  
Breath Holding ◽  
Low Grade ◽  
Bold Response ◽  
Independent Measurement ◽  
Bold Fmri ◽  
Eloquent Areas ◽  
Language Areas ◽  
Initial Results

AbstractPurposePreoperative functional MRI (fMRI) is limited by a muted BOLD response caused by abnormal vasoreactivity and resultant neurovascular uncoupling adjacent to malignant brain tumors. We propose to overcome this limitation and more accurately identify eloquent areas adjacent to brain tumors by independently assessing vasoreactivity using breath-holding and incorporating these data into the BOLD analysis.MethodsLocal vasoreactivity using a breath-holding paradigm with the same timing as the functional motor and language tasks was determined in 16 patients (9 glioblastomas, 1 anaplastic astrocytoma, 5 low grade astrocytomas, and 1 metastasis). We derived a model based on coherence for analyzing BOLD fMRI that takes into account the altered hemodynamics adjacent to brain tumors.ResultsActivation maps computed using the coherence model were overall similar to standard activation maps. However, the coherence maps demonstrated clinically meaningful areas of activation that were not seen using the standard method in 12/16 cases. This included localization of language areas adjacent to brain tumors, where the coherence method results were confirmed by intra-operative direct cortical stimulation. Enhanced task response maps based on vasoreactivity mapping demonstrated more robust, anatomically-correct activation, in particular adjacent to tumors as compared to maps obtained without vasoreactivity information.ConclusionsThe present preliminary results demonstrate the principle that the neurovascular uncoupling known to affect the accuracy of BOLD fMRI adjacent to brain tumors may be, at least partially, overcome by incorporating an independent measurement of vasoreactivity into the BOLD analysis.

scholarly journals Vascular Reactivity Maps in Patients with Gliomas Using Breath-Holding BOLD fMRI

2015 ◽  
Vol 26 (2) ◽  
pp. 232-239 ◽  
Author(s):  
Amir Iranmahboob ◽  
Kyung K. Peck ◽  
Nicole P. Brennan ◽  
Sasan Karimi ◽  
Ryan Fisicaro ◽  
...  
Keyword(s):  
Vascular Reactivity ◽  
Breath Holding ◽  
Bold Fmri

Evaluation of vascular reactivity to overcome limitations of neurovascular uncoupling in BOLD fMRI of malignant brain tumors

2018 ◽  
Vol 82 (5) ◽  
pp. 21 ◽  
Author(s):  
I. N. Pronin ◽  
A. I. Batalov ◽  
N. E. Zakharova ◽  
L. M. Fadeeva ◽  
E. L. Pogosbekyan ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Vascular Reactivity ◽  
Bold Fmri ◽  
Malignant Brain Tumors

scholarly journals Awake Craniotomy for Left Insular Low-Grade Glioma Removal on a Patient with Learning Disabilities

2017 ◽  
Vol 06 (01) ◽  
pp. 041-043 ◽  
Author(s):  
Andrej Vranic ◽  
Blaz Koritnik ◽  
Jasmina Markovic-Bozic
Keyword(s):  
Learning Disabilities ◽  
Case Report ◽  
Brain Tumors ◽  
Awake Craniotomy ◽  
Awake Surgery ◽  
Cortical Mapping ◽  
Low Grade ◽  
Low Grade Gliomas ◽  
Eloquent Areas ◽  
Slow Growing

Introduction Low-grade gliomas (LGG) are slow-growing primary brain tumors in adults, with high tropism for eloquent areas. Standard approach in treatment of LGG is awake craniotomy with intraoperative cortical mapping — a method which is usually used on adult and fully cooperative patients. Case Report We present the case of a patient with learning disabilities (PLD) who was operated for left insular LGG awake craniotomy, and intraoperative cortical mapping were performed and the tumor was gross totally removed. Conclusion Awake surgery for left insular LGG removal is challenging; however, it can be performed safely and successfully on PLD.

Seizures following surgery for supratentorial extratemporal low-grade tumors in children: a multicenter retrospective study

2020 ◽  
Vol 26 (1) ◽  
pp. 27-33
Author(s):  
Jonathan Roth ◽  
Or Bercovich ◽  
Ashton Roach ◽  
Francesco T. Mangano ◽  
Arvind C. Mohan ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Brain Tumors ◽  
Seizure Control ◽  
Seizure Activity ◽  
Refractory Epilepsy ◽  
Low Grade ◽  
Refractory Seizures ◽  
Low Rate ◽  
Over Time ◽  
New Onset

OBJECTIVEResection of brain tumors may lead to new-onset seizures but may also reduce seizure rates in patients presenting with seizures. Seizures are seen at presentation in about 24% of patients with brain tumors. For lesional epilepsy in general, early resection is associated with improved seizure control. However, the literature is limited regarding the occurrence of new-onset postoperative seizures, or rates of seizure control in those presenting with seizures, following resections of extratemporal low-grade gliomas (LGGs) in children.METHODSData were collected retrospectively from 4 large tertiary centers for children (< 18 years of age) who underwent resection of a supratentorial extratemporal (STET) LGG. The patients were divided into 4 groups based on preoperative seizure history: no seizures, up to 2 seizures, more than 2 seizures, and uncontrolled or refractory epilepsy. The authors analyzed the postoperative occurrence of seizures and the need for antiepileptic drugs (AEDs) over time for the various subgroups.RESULTSThe study included 98 children. Thirty patients had no preoperative seizures, 18 had up to 2, 16 had more than 2, and 34 had refractory or uncontrolled epilepsy. The risk for future seizures was higher if the patient had seizures within 1 month of surgery. The risk for new-onset seizures among patients with no seizures prior to surgery was low. The rate of seizures decreased over time for children with uncontrolled or refractory seizures. The need for AEDs was higher in the more active preoperative seizure groups; however, it decreased with time.CONCLUSIONSThe resection of STET LGGs in children is associated with a low rate of postoperative new-onset epilepsy. For children with preoperative seizures, even with uncontrolled epilepsy, most have a significant improvement in the seizure activity, and many may be weaned off their AEDs.

The integration of metabolic imaging in stereotactic procedures including radiosurgery: a review

2002 ◽  
Vol 97 ◽  
pp. 542-550 ◽  
Author(s):  
Marc Levivier ◽  
David Wikler ◽  
Nicolas Massager ◽  
Philippe David ◽  
Daniel Devriendt ◽  
...  
Keyword(s):  
Positron Emission Tomography ◽  
Brain Tumors ◽  
Treatment Planning ◽  
Target Volume ◽  
Emission Tomography ◽  
Low Grade ◽  
Content Type ◽  
Positron Emission ◽  
Pet Scanning ◽  
Fine Print

Object. The authors review their experience with the clinical development and routine use of positron emission tomography (PET) during stereotactic procedures, including the use of PET-guided gamma knife radiosurgery (GKS). Methods. Techniques have been developed for the routine use of stereotactic PET, and accumulated experience using PET-guided stereotactic procedures over the past 10 years includes more than 150 stereotactic biopsies, 43 neuronavigation procedures, and 34 cases treated with GKS. Positron emission tomography—guided GKS was performed in 24 patients with primary brain tumors (four pilocytic astrocytomas, five low-grade astrocytomas or oligodendrogliomas, seven anaplastic astrocytomas or ependymomas, five glioblastomas, and three neurocytomas), five patients with metastases (single or multiple lesions), and five patients with pituitary adenomas. Conclusions. Data obtained with PET scanning can be integrated with GKS treatment planning, enabling access to metabolic information with high spatial accuracy. Positron emission tomography data can be successfully combined with magnetic resonance imaging data to provide specific information for defining the target volume for the radiosurgical treatment in patients with recurrent brain tumors, such as glioma, metastasis, and pituitary adenoma. This approach is particularly useful for optimizing target selection for infiltrating or ill-defined brain lesions. The use of PET scanning contributed data in 31 cases (93%) and information that was specifically utilized to adapt the target volume in 25 cases (74%). It would seem that the integration of PET data into GKS treatment planning may represent an important step toward further developments in radiosurgery: this approach provides additional information that may open new perspectives for the optimization of the treatment of brain tumors.

scholarly journals BIOM-62 SENSITIVE DETECTION AND DISCRIMINATION OF INTRACRANIAL TUMORS BY BLOOD

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii15-ii15
Author(s):  
Farshad Nassiri ◽  
Ankur Chakravarthy ◽  
Shengrui Feng ◽  
Roxana Shen ◽  
Romina Nejad ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Brain Tumors ◽  
Model Performance ◽  
High Sensitivity ◽  
Circulating Tumor Dna ◽  
Low Grade ◽  
Learning Approaches ◽  
Intracranial Tumors ◽  
Cell Of Origin ◽  
Tumor Dna

Abstract BACKGROUND The diagnosis of intracranial tumors relies on tissue specimens obtained by invasive surgery. Non-invasive diagnostic approaches, particularly for patients with brain tumours, provide an opportunity to avoid surgery and mitigate unnecessary risk to patients. We reasoned that DNA methylation profiles of circulating tumor DNA in blood can be used as a clinically useful biomarker for patients with brain tumors, given the specificity of DNA methylation profiles for cell-of-origin. METHODS We generated methylation profiles on the plasma of 608 patients with cancer (219 intracranial, 388 extracranial) and 60 healthy controls using a cell-free methylated DNA immunoprecipitation combined with deep sequencing (cfMeDIP-seq) approach. Using machine-learning approaches we generated and evaluated models to distinguish brain tumors from extracranial cancers that may metastasize to the brain, as well as additional models to discriminate common brain tumors included in the differential diagnosis of solitary extra-axial and intra-axial tumors. RESULTS We observed high sensitivity and discriminative capacity for our models to distinguish gliomas from other cancerous and healthy patients (AUC=0.99, 95%CI 0.96–1), with similar performance in IDH mutant and wildtype gliomas as well as in lower- and high-grade gliomas. Excluding non-malignant contributors to plasma methylation did not change model performance (AUC=0.982, 95%CI 0.93–1). Models generated to discriminate intracranial tumors from each other also demonstrated high accuracy for common extra-axial tumors (AUCmeningioma=0.89, 95%CI 0.80–0.97; AUChemangiopericytoma=0.95, 95%CI 0.73–1) as well as intra-axial tumors ranging from low-grade indolent glial-neuronal tumors (AUC 0.93, 95%CI 0.80 – 1) to diffuse intra-axial gliomas with distinct molecular composition (AUCIDH-mutant glioma = 0.82, 95%CI 0.66 -0.98; AUCIDH-wildtype-glioma = 0.71, 95%CI 0.53 – 0.9). Plasma cfMeDIP-seq signals originated from corresponding tumor tissue DNA methylation signals (r=0.37, p&lt; 2.2e-16). CONCLUSIONS These results demonstrate the potential for cfMeDIP-seq profiles to not only detect circulating tumor DNA, but to accurately discriminate common intracranial tumors that share cell-of-origin lineages.

scholarly journals NCOG-42. INITIAL PRESENTATION AND OUTPATIENT VISIT COMPLIANCE OF INMATES WITH BRAIN TUMORS

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii138-ii138
Author(s):  
Iyad Alnahhas ◽  
Appaji Rayi ◽  
Yasmeen Rauf ◽  
Shirley Ong ◽  
Pierre Giglio ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Civil Liberties ◽  
Delayed Diagnosis ◽  
Low Grade ◽  
Small Series ◽  
Initial Symptoms ◽  
The Ohio State University ◽  
American Civil Liberties Union ◽  
Lost To Follow Up

Abstract INTRODUCTION While advocacy for inmates with cancer has recently gained momentum, little is known about management of brain tumors in inmates. Delays in acknowledging or recognizing nonspecific initial symptoms can lead to delayed diagnosis and treatment. Inmates with cancer are reported to either be ignored or receive substandard care due in part to cost or logistics (American Civil Liberties Union; ASCO Post 2018). METHODS In this retrospective study, we identified inmates with gliomas seen in the Ohio State University Neuro-oncology Center between 1/1/2010-4/20/2019. RESULTS Twelve patients were identified. Median age at presentation was 39.5 years (range 28-62). Eleven patients were Caucasian and one was African American. Diagnoses included glioblastoma (GBM) (n=6), anaplastic astrocytoma (n=1), anaplastic oligodendroglioma (n=1), low-grade astrocytoma (n=3) and anaplastic pleomorphic xanthroastrocytoma (n=1). Patients were more likely to present early after seizures or focal neurologic deficits (9/12) than after headaches alone. Patients with GBM started RT 12-71 days after surgery (median 34.5). One patient’s post-RT MRI was delayed by a month and another with GBM had treatment held after 4 cycles of adjuvant temozolomide (TMZ) due to “incarceration issues”. For one patient who received adjuvant TMZ, the facility failed to communicate with the primary team throughout treatment. Two patients suffered significant nausea while on chemotherapy due to inability to obtain ondansetron in prison, or due to wrong timing. 7/12 (58%) patients were lost to follow-up for periods of 3-15 months during treatment. Three patients refused adjuvant treatment. CONCLUSIONS Although this is a small series, our results highlight the inequities and challenges faced by inmates with gliomas who are more likely to forego treatments or whose incarceration prevents them from keeping appropriate treatment and follow-up schedules. Additional studies are needed to define and address these deficiencies in the care of inmates with brain tumors and other cancers.

scholarly journals Amide proton transfer weighted (APTw) imaging based radiomics allows for the differentiation of gliomas from metastases

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Elisabeth Sartoretti ◽  
Thomas Sartoretti ◽  
Michael Wyss ◽  
Carolin Reischauer ◽  
Luuk van Smoorenburg ◽  
...  
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Brain Tumors ◽  
Proton Transfer ◽  
Multilayer Perceptron ◽  
Random Forest Classifier ◽  
Amide Proton ◽  
Low Grade ◽  
Who Grade ◽  
Amide Proton Transfer

AbstractWe sought to evaluate the utility of radiomics for Amide Proton Transfer weighted (APTw) imaging by assessing its value in differentiating brain metastases from high- and low grade glial brain tumors. We retrospectively identified 48 treatment-naïve patients (10 WHO grade 2, 1 WHO grade 3, 10 WHO grade 4 primary glial brain tumors and 27 metastases) with either primary glial brain tumors or metastases who had undergone APTw MR imaging. After image analysis with radiomics feature extraction and post-processing, machine learning algorithms (multilayer perceptron machine learning algorithm; random forest classifier) with stratified tenfold cross validation were trained on features and were used to differentiate the brain neoplasms. The multilayer perceptron achieved an AUC of 0.836 (receiver operating characteristic curve) in differentiating primary glial brain tumors from metastases. The random forest classifier achieved an AUC of 0.868 in differentiating WHO grade 4 from WHO grade 2/3 primary glial brain tumors. For the differentiation of WHO grade 4 tumors from grade 2/3 tumors and metastases an average AUC of 0.797 was achieved. Our results indicate that the use of radiomics for APTw imaging is feasible and the differentiation of primary glial brain tumors from metastases is achievable with a high degree of accuracy.

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