scholarly journals Preoperative Imaging of Glioblastoma Patients using Hyperpolarized 13C Pyruvate: Potential Role in Clinical Decision Making

Author(s):  
Jun Chen ◽  
Toral R Patel ◽  
Marco C Pinho ◽  
Changho Choi ◽  
Crystal E Harrison ◽  
...  

Abstract Background Glioblastoma remains incurable despite treatment with surgery, radiation therapy, and cytotoxic chemotherapy, prompting the search for a metabolic pathway unique to glioblastoma cells. 13C MR spectroscopic imaging with hyperpolarized pyruvate can demonstrate alterations in pyruvate metabolism in these tumors. Methods Three patients with diagnostic MRI suggestive of a glioblastoma were scanned at 3T 1-2 days prior to tumor resection using a 13C/ 1H dual-frequency RF coil and a 13C/ 1H-integrated MR protocol, which consists of a series of 1H MR sequences (T2 FLAIR, arterial spin labeling and contrast-enhanced (CE) T1) and 13C spectroscopic imaging with hyperpolarized [1- 13C]pyruvate. Dynamic spiral chemical shift imaging was used for 13C data acquisition. Surgical navigation was used to correlate the locations of tissue samples submitted for histology with the changes seen on the diagnostic MR scans and the 13C spectroscopic images. Results Each tumor was histologically confirmed to be a WHO grade IV glioblastoma with isocitrate dehydrogenase wild type. Total hyperpolarized 13C signals detected near the tumor mass reflected altered tissue perfusion near the tumor. For each tumor, a hyperintense [1- 13C]lactate signal was detected both within CE and T2-FLAIR regions on the 1H diagnostic images (p = 0.008). [ 13C]Bicarbonate signal was maintained or decreased in the lesion but the observation was not significant (p = 0.3). Conclusions Prior to surgical resection, 13C MR spectroscopic imaging with hyperpolarized pyruvate reveals increased lactate production in regions of histologically confirmed glioblastoma.

2009 ◽  
Vol 197 (1) ◽  
pp. 100-106 ◽  
Author(s):  
Albert P. Chen ◽  
James Tropp ◽  
Ralph E. Hurd ◽  
Mark Van Criekinge ◽  
Lucas G. Carvajal ◽  
...  

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi196-vi196
Author(s):  
Ramin Morshed ◽  
Jacob Young ◽  
Megan Casey ◽  
Elaina Wang ◽  
Manish K Aghi ◽  
...  

Abstract Elderly patients with glioblastoma (GBM) have worse overall prognosis compared to younger patients and are less likely to undergo tumor resection and adjuvant therapy. The goal of this study was to identify patient and treatment factors as well as preoperative imaging features associated with worse overall survival and death within 3 months of surgery in elderly GBM patients. A single-center retrospective study was conducted with patients who met the following inclusion criteria: 1) age ≥ 79 at surgery (past the average age of life expectancy), 2) underwent biopsy or resection of an IDH-wildtype WHO Grade IV GBM at the time of initial diagnosis, and 3) had no prior radiation or chemotherapy. Patient, imaging, and treatment data were collected retrospectively from the electronic medical record. Univariate and multivariate Cox proportional hazard and logistic regression analyses were performed to identify factors associated with overall survival and 90-day mortality. The cohort consisted of 110 patients with a mean age of 82.8 (range 79 to 94.1) at surgery and a median preoperative KPS of 80. Thirty-seven (33.6%) and 73 (66.4%) patients underwent biopsy and resection, respectively. Adjuvant chemo- and/or radiation therapy were used in 72.5% of cases. On multivariate analysis, age (HR 1.13 by year, p=0.01), increased masseter thickness (HR 0.88 by mm, p=0.049), adjuvant therapy (HR 0.05, p< .0001), and surgical resection rather than biopsy (HR 0.38, p=0.0007) were associated with improved survival. Decreased masseter thickness was the only preoperative factor on analysis that predicted 90-day mortality in the cohort (p=0.038). GBM patients past the average age of life expectancy still fare better when undergoing resection followed by adjuvant chemotherapy and radiation therapy. In addition to treatment factors that predict survival, smaller masseter diameter on preoperative imaging, a marker of sarcopenia, is associated with shorter survival and death within 90 days of surgery.


2010 ◽  
Vol 65 (3) ◽  
pp. 610-619 ◽  
Author(s):  
Peder E. Z. Larson ◽  
Simon Hu ◽  
Michael Lustig ◽  
Adam B. Kerr ◽  
Sarah J. Nelson ◽  
...  

2015 ◽  
Vol 11 (4) ◽  
pp. 484-490 ◽  
Author(s):  
Michaël Bruneau ◽  
Rachid Kamouni ◽  
Frédéric Schoovaerts ◽  
Henri-Benjamin Pouleau ◽  
Olivier De Witte

Abstract BACKGROUND Skull reconstruction can be challenging due to the complex 3-dimensional shape of some structures, such as the orbital walls, and for cases involving a large cranial vault. In such situations, computer-assisted design and modeling of prostheses is especially helpful to achieve an adequate reconstruction. Simultaneous tumor resection and skull defect reconstruction are also challenging because the preoperative imaging does not display the anticipated defect. Currently, sophisticated methods based on physical prototypes and templates are required to enable simultaneous resection and reconstruction techniques. OBJECTIVE To report a new technique for simultaneous tumor resection and skull reconstruction with a custom-made prosthesis. METHODS Using OsiriX software, virtual bone resection was performed using preoperative images by carefully delimiting the tumor on each slice. The modified images were integrated to predict the defect and also served as a basis for prosthesis construction. At the time of surgery, the images were projected onto the patient's skull using a surgical navigation system to delimit the area of the craniectomy. RESULTS The virtual planning method was simple and accurate and provided a precise preoperative definition of important structures that needed to be spared, such as the frontal sinus. Using this method, simultaneous tumor resection and prosthetic skull reconstruction was successfully achieved for a patient with a wide skull tumor. CONCLUSION Simultaneous skull tumor resection and prosthetic reconstruction are possible when a virtual preoperative tumor resection is performed, and a corresponding customized prosthesis subsequently is manufactured and used.


2013 ◽  
Vol 229 ◽  
pp. 187-197 ◽  
Author(s):  
Sarah J. Nelson ◽  
Eugene Ozhinsky ◽  
Yan Li ◽  
Il woo Park ◽  
Jason Crane

NeuroImage ◽  
2012 ◽  
Vol 59 (1) ◽  
pp. 193-201 ◽  
Author(s):  
Myriam M. Chaumeil ◽  
Tomoko Ozawa ◽  
IlWoo Park ◽  
Kristen Scott ◽  
C. David James ◽  
...  

2021 ◽  
Vol 23 (Supplement_1) ◽  
pp. i50-i50
Author(s):  
Luna Djirackor ◽  
Skarphedinn Halldorsson ◽  
Pitt Niehusmann ◽  
Henning Leske ◽  
Luis P Kuschel ◽  
...  

Abstract Background Clear identification of tumor subtype is the main predictor of patient outcome and ultimately what is considered an adequate level of surgical risk. At brain tumor resection, imaging modalities and intraoperative histology often give an ambigious diagnosis, complicating intraoperative surgical decision-making. Here, we report a nanopore DNA methylation analysis (NDMA) sequencing approach combined with machine learning for classification of tumor entities that could be used intraoperatively. Methods We analyzed 50 biopsies obtained from biobanked tissue (43, prospective) or sampled at surgery (7, intraoperative) from 20 female and 30 male patients with a median age of 8 years. DNA was extracted using spin columns, quantified on a Qubit fluorometer and assessed for purity using NanoDrop spectrophotometer. DNA was then barcoded with the Rapid Barcoding kit from Oxford Nanopore technologies and loaded onto a MinION flow cell. Sequencing was performed for 3 hours (intraoperative) and 24 hours (prospective). Raw reads were basecalled using the Guppy algorithm, then fed into a snakemake workflow (nanoDx pipeline). This generated a report showing the copy number profile, genome-wide methylation status and subclassification of the tumor according to the Heidelberg reference cohort. Results Twelve different tumor classes were discovered within our cohort spanning from WHO Grade I to Grade IV. The results generated by NDMA were concordant with standard neuropathological diagnosis in 43 out of 50 cases (86%). Of the discordant cases, six were due to the biological complexity of the tumor and one case was misclassified by the pipeline. NDMA enabled correct subclassification of 6/7 intraop cases within a mean of 129 minutes. Conclusion NDMA can accurately subclassify tumor entities intraoperatively and guide surgical procedures when preoperative imaging and frozen section evaluation are unclear.


2001 ◽  
Vol 120 (5) ◽  
pp. A116-A116
Author(s):  
H SCHLEMMER ◽  
T SAWATZKI ◽  
I DORNACHER ◽  
S SAMMET ◽  
M HELLENSCHMIDT ◽  
...  

1994 ◽  
Vol 31 (2) ◽  
pp. 185
Author(s):  
Yong Whee Bahk ◽  
Kyung Sub Shinn ◽  
Tae Suk Suh ◽  
Bo Young Choe ◽  
Kyo Ho Choi

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