4 results on '"Eugene Barth"'
Search Results
2. Absolute oxygen-guided radiation therapy improves tumor control in three preclinical tumor models
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Inna Gertsenshteyn, Boris Epel, Mihai Giurcanu, Eugene Barth, John Lukens, Kayla Hall, Jenipher Flores Martinez, Mellissa Grana, Matthew Maggio, Richard C. Miller, Subramanian V. Sundramoorthy, Martyna Krzykawska-Serda, Erik Pearson, Bulent Aydogan, Ralph R. Weichselbaum, Victor M. Tormyshev, Mrignayani Kotecha, and Howard J. Halpern
- Subjects
hypoxia ,oxygen ,electron paramagnetic resonance ,preclinical imaging ,radiotherapy ,Medicine (General) ,R5-920 - Abstract
BackgroundClinical attempts to find benefit from specifically targeting and boosting resistant hypoxic tumor subvolumes have been promising but inconclusive. While a first preclinical murine tumor type showed significant improved control with hypoxic tumor boosts, a more thorough investigation of efficacy from boosting hypoxic subvolumes defined by electron paramagnetic resonance oxygen imaging (EPROI) is necessary. The present study confirms improved hypoxic tumor control results in three different tumor types using a clonogenic assay and explores potential confounding experimental conditions.Materials and methodsThree murine tumor models were used for multi-modal imaging and radiotherapy: MCa-4 mammary adenocarcinomas, SCC7 squamous cell carcinomas, and FSa fibrosarcomas. Registered T2-weighted MRI tumor boundaries, hypoxia defined by EPROI as pO2 ≤ 10 mmHg, and X-RAD 225Cx CT boost boundaries were obtained for all animals. 13 Gy boosts were directed to hypoxic or equal-integral-volume oxygenated tumor regions and monitored for regrowth. Kaplan–Meier survival analysis was used to assess local tumor control probability (LTCP). The Cox proportional hazards model was used to assess the hazard ratio of tumor progression of Hypoxic Boost vs. Oxygenated Boost for each tumor type controlling for experimental confounding variables such as EPROI radiofrequency, tumor volume, hypoxic fraction, and delay between imaging and radiation treatment.ResultsAn overall significant increase in LTCP from Hypoxia Boost vs. Oxygenated Boost treatments was observed in the full group of three tumor types (p
- Published
- 2023
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3. The optimalsup18/supF-fluoromisonidazole PET threshold to define tumor hypoxia in preclinical squamous cell carcinomas using pOsub2/subelectron paramagnetic resonance imaging as reference truth
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Inna Gertsenshteyn, Boris Epel, Amandeep Ahluwalia, Heejong Kim, Xiaobing Fan, Eugene Barth, Marta Zamora, Erica Markiewicz, Hsui-Ming Tsai, Subramanian Sundramoorthy, Lara Leoni, John Lukens, Mohammed Bhuiyan, Richard Freifelder, Anna Kucharski, Mihai Giurcanu, Brian Roman, Gregory Karczmar, Chien-Min Kao, Howard Halpern, and Chin-Tu Chen
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Mice ,Positron-Emission Tomography ,Carcinoma, Squamous Cell ,Electron Spin Resonance Spectroscopy ,Animals ,Tumor Hypoxia ,Radiology, Nuclear Medicine and imaging ,General Medicine ,Misonidazole ,Radiopharmaceuticals ,Hypoxia ,Tomography, X-Ray Computed ,Cell Hypoxia - Abstract
To identify the optimal threshold insup18/supF-fluoromisonidazole (FMISO) PET images to accurately locate tumor hypoxia by using electron paramagnetic resonance imaging (pOsub2/subEPRI) as ground truth for hypoxia, defined by pOsub2/sub[Formula: see text] 10 mmHg.Tumor hypoxia images in mouse models of SCCVII squamous cell carcinoma (n = 16) were acquired in a hybrid PET/EPRI imaging system 2 h post-injection of FMISO. T2-weighted MRI was used to delineate tumor and muscle tissue. Dynamic contrast enhanced (DCE) MRI parametric images of Ksuptrans/supand vsube/subwere generated to model tumor vascular properties. Images from PET/EPR/MRI were co-registered and resampled to isotropic 0.5 mm voxel resolution for analysis. PET images were converted to standardized uptake value (SUV) and tumor-to-muscle ratio (TMR) units. FMISO uptake thresholds were evaluated using receiver operating characteristic (ROC) curve analysis to find the optimal FMISO threshold and unit with maximum overall hypoxia similarity (OHS) with pOsub2/subEPRI, where OHS = 1 shows perfect overlap and OHS = 0 shows no overlap. The means of dice similarity coefficient, normalized Hausdorff distance, and accuracy were used to define the OHS. Monotonic relationships between EPRI/PET/DCE-MRI were evaluated with the Spearman correlation coefficient ([Formula: see text]) to quantify association of vasculature on hypoxia imaged with both FMISO PET and pOsub2/subEPRI.FMISO PET thresholds to define hypoxia with maximum OHS (both OHS = 0.728 [Formula: see text] 0.2) were SUV [Formula: see text] 1.4 [Formula: see text] SUVsubmean/suband SUV [Formula: see text] 0.6 [Formula: see text] SUVsubmax/sub. Weak-to-moderate correlations (|[Formula: see text]|lt; 0.70) were observed between PET/EPRI hypoxia images with vascular permeability (Ksuptrans/sup) or fractional extracellular-extravascular space (vsube/sub) from DCE-MRI.This is the first in vivo comparison of FMISO uptake with pOsub2/subEPRI to identify the optimal FMISO threshold to define tumor hypoxia, which may successfully direct hypoxic tumor boosts in patients, thereby enhancing tumor control.
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- 2022
4. Improving Tumor Hypoxia Location in
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Inna, Gertsenshteyn, Boris, Epel, Eugene, Barth, Lara, Leoni, Erica, Markiewicz, Hsiu-Ming, Tsai, Xiaobing, Fan, Mihai, Giurcanu, Darwin, Bodero, Marta, Zamora, Subramanian, Sundramoorthy, Heejong, Kim, Richard, Freifelder, Mohammed, Bhuiyan, Anna, Kucharski, Gregory, Karczmar, Chien-Min, Kao, Howard, Halpern, and Chin-Tu, Chen
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Oxygen ,Mice ,Positron Emission Tomography Computed Tomography ,Positron-Emission Tomography ,Electron Spin Resonance Spectroscopy ,Animals ,Tumor Hypoxia ,Misonidazole ,Hypoxia ,Magnetic Resonance Imaging ,Original Research - Abstract
PURPOSE: To enhance the spatial accuracy of fluorine 18 ((18)F) misonidazole (MISO) PET imaging of hypoxia by using dynamic contrast-enhanced (DCE) MR images as a basis for modifying PET images and by using electron paramagnetic resonance (EPR) partial oxygen pressure (pO(2)) as the reference standard. MATERIALS AND METHODS: Mice (n = 10) with leg-borne MCa4 mammary carcinomas underwent EPR imaging, T2-weighted and DCE MRI, and (18)F-MISO PET/CT. Images were registered to the same space for analysis. The thresholds of hypoxia for PET and EPR images were tumor-to-muscle ratios greater than or equal to 2.2 mm Hg and less than or equal to 14 mm Hg, respectively. The Dice similarity coefficient (DSC) and Hausdorff distance (d(H)) were used to quantify the three-dimensional overlap of hypoxia between pO(2) EPR and (18)F-MISO PET images. A training subset (n = 6) was used to calculate optimal DCE MRI weighting coefficients to relate EPR to the PET signal; the group average weights were then applied to all tumors (from six training mice and four test mice). The DSC and d(H) were calculated before and after DCE MRI–corrected PET images were obtained to quantify the improvement in overlap with EPR pO(2) images for measuring tumor hypoxia. RESULTS: The means and standard deviations of the DSC and d(H) between hypoxic regions in original PET and EPR images were 0.35 mm ± 0.23 and 5.70 mm ± 1.7, respectively, for images of all 10 mice. After implementing a preliminary DCE MRI correction to PET data, the DSC increased to 0.86 mm ± 0.18 and the d(H) decreased to 2.29 mm ± 0.70, showing significant improvement (P < .001) for images of all 10 mice. Specifically, for images of the four independent test mice, the DSC improved with correction from 0.19 ± 0.28 to 0.80 ± 0.29 (P = .02), and the d(H) improved from 6.40 mm ± 2.5 to 1.95 mm ± 0.63 (P = .01). CONCLUSION: Using EPR information as a reference standard, DCE MRI information can be used to correct (18)F-MISO PET information to more accurately reflect areas of hypoxia. Keywords: Animal Studies, Molecular Imaging, Molecular Imaging-Cancer, PET/CT, MR-Dynamic Contrast Enhanced, MR-Imaging, PET/MR, Breast, Oncology, Tumor Mircoenvironment, Electron Paramagnetic Resonance Supplemental material is available for this article. © RSNA, 2021
- Published
- 2020
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