4,363 results on '"Ross, Brian"'
Search Results
2. Automated Composition from Computer Models of Biological behavior
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Brooks, Stephen and Ross, Brian J.
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- 2016
3. Relative muscle indices and healthy reference values for sarcopenia assessment using T10 through L5 computed tomography skeletal muscle area
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Derstine, Brian A., Holcombe, Sven A., Wang, Nicholas C., Ross, Brian E., Sullivan, June A., Wang, Stewart C., and Su, Grace L.
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- 2024
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4. Strategies for Evolving Diverse and Effective Behaviours in Pursuit Domains
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Cowan, Tyler, Ross, Brian J., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Smith, Stephen, editor, Correia, João, editor, and Cintrano, Christian, editor
- Published
- 2024
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5. Using Evolution and Deep Learning to Generate Diverse Intelligent Agents
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Joseph, Marshall, Ross, Brian J., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Smith, Stephen, editor, Correia, João, editor, and Cintrano, Christian, editor
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- 2024
- Full Text
- View/download PDF
6. Co-Clinical Imaging Metadata Information (CIMI) for Cancer Research to Promote Open Science, Standardization, and Reproducibility in Preclinical Imaging
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Moore, Stephen M, Quirk, James D, Lassiter, Andrew W, Laforest, Richard, Ayers, Gregory D, Badea, Cristian T, Fedorov, Andriy Y, Kinahan, Paul E, Holbrook, Matthew, Larson, Peder EZ, Sriram, Renuka, Chenevert, Thomas L, Malyarenko, Dariya, Kurhanewicz, John, Houghton, A McGarry, Ross, Brian D, Pickup, Stephen, Gee, James C, Zhou, Rong, Gammon, Seth T, Manning, Henry Charles, Roudi, Raheleh, Daldrup-Link, Heike E, Lewis, Michael T, Rubin, Daniel L, Yankeelov, Thomas E, and Shoghi, Kooresh I
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Cancer ,Rare Diseases ,Biomedical Imaging ,Good Health and Well Being ,Animals ,Mice ,Humans ,Metadata ,Reproducibility of Results ,Diagnostic Imaging ,Neoplasms ,Reference Standards ,co-clinical imaging ,metadata ,Digital Imaging and Communications in Medicine ,preclinical imaging ,reproducibility ,open science ,standardization - Abstract
Preclinical imaging is a critical component in translational research with significant complexities in workflow and site differences in deployment. Importantly, the National Cancer Institute's (NCI) precision medicine initiative emphasizes the use of translational co-clinical oncology models to address the biological and molecular bases of cancer prevention and treatment. The use of oncology models, such as patient-derived tumor xenografts (PDX) and genetically engineered mouse models (GEMMs), has ushered in an era of co-clinical trials by which preclinical studies can inform clinical trials and protocols, thus bridging the translational divide in cancer research. Similarly, preclinical imaging fills a translational gap as an enabling technology for translational imaging research. Unlike clinical imaging, where equipment manufacturers strive to meet standards in practice at clinical sites, standards are neither fully developed nor implemented in preclinical imaging. This fundamentally limits the collection and reporting of metadata to qualify preclinical imaging studies, thereby hindering open science and impacting the reproducibility of co-clinical imaging research. To begin to address these issues, the NCI co-clinical imaging research program (CIRP) conducted a survey to identify metadata requirements for reproducible quantitative co-clinical imaging. The enclosed consensus-based report summarizes co-clinical imaging metadata information (CIMI) to support quantitative co-clinical imaging research with broad implications for capturing co-clinical data, enabling interoperability and data sharing, as well as potentially leading to updates to the preclinical Digital Imaging and Communications in Medicine (DICOM) standard.
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- 2023
7. Animal Models and Their Role in Imaging-Assisted Co-Clinical Trials
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Peehl, Donna M, Badea, Cristian T, Chenevert, Thomas L, Daldrup-Link, Heike E, Ding, Li, Dobrolecki, Lacey E, Houghton, A McGarry, Kinahan, Paul E, Kurhanewicz, John, Lewis, Michael T, Li, Shunqiang, Luker, Gary D, X., Cynthia, Manning, H Charles, Mowery, Yvonne M, O’Dwyer, Peter J, Pautler, Robia G, Rosen, Mark A, Roudi, Raheleh, Ross, Brian D, Shoghi, Kooresh I, Sriram, Renuka, Talpaz, Moshe, Wahl, Richard L, and Zhou, Rong
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Clinical Trials and Supportive Activities ,Cancer ,Clinical Research ,Biomedical Imaging ,Evaluation of treatments and therapeutic interventions ,Detection ,screening and diagnosis ,4.5 Resources and infrastructure (detection) ,6.9 Resources and infrastructure (treatment evaluation) ,Good Health and Well Being ,Animals ,Mice ,Humans ,Neoplasms ,Disease Models ,Animal ,Diagnostic Imaging ,co-clinical trials ,animal models ,imaging ,prostate cancer ,sarcoma ,colorectal cancer ,osteosarcoma ,pancreatic cancer ,myelofibrosis ,breast cancer ,lung cancer - Abstract
The availability of high-fidelity animal models for oncology research has grown enormously in recent years, enabling preclinical studies relevant to prevention, diagnosis, and treatment of cancer to be undertaken. This has led to increased opportunities to conduct co-clinical trials, which are studies on patients that are carried out parallel to or sequentially with animal models of cancer that mirror the biology of the patients' tumors. Patient-derived xenografts (PDX) and genetically engineered mouse models (GEMM) are considered to be the models that best represent human disease and have high translational value. Notably, one element of co-clinical trials that still needs significant optimization is quantitative imaging. The National Cancer Institute has organized a Co-Clinical Imaging Resource Program (CIRP) network to establish best practices for co-clinical imaging and to optimize translational quantitative imaging methodologies. This overview describes the ten co-clinical trials of investigators from eleven institutions who are currently supported by the CIRP initiative and are members of the Animal Models and Co-clinical Trials (AMCT) Working Group. Each team describes their corresponding clinical trial, type of cancer targeted, rationale for choice of animal models, therapy, and imaging modalities. The strengths and weaknesses of the co-clinical trial design and the challenges encountered are considered. The rich research resources generated by the members of the AMCT Working Group will benefit the broad research community and improve the quality and translational impact of imaging in co-clinical trials.
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- 2023
8. Socially Accountable Medical Education: Our Story Might Not Be Yours
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Ross, Brian M. and Cameron, Erin
- Abstract
Socially Accountable Medical Education is a global educational movement transforming the development and delivery of medical schools in higher education. It is described as an upstream policy approach that seeks to align medical education and local community healthcare needs. To better understand social accountability as a policy initiative, we conducted a narrative review to identify key themes in the literature around frameworks of implementation. Our findings illustrate that social accountability has been mostly defined to date in terms of outcomes and related-actions and that there is a lack of focus on critical social constructs, such as power and place, that can reorient processes and inequities within health systems and educational institutions. We conclude that while socially accountable medical education is a promising paradigm shift in higher education, we call for a more complexified, contextualized, and nuanced approach.
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- 2021
9. Local Assessment and Small Bowel Crohn’s Disease Severity Scoring using AI
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Enchakalody, Binu E., Wasnik, Ashish P., Al-Hawary, Mahmoud M., Wang, Stewart C., Su, Grace L., Ross, Brian, and Stidham, Ryan W.
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- 2024
- Full Text
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10. Command of the Seas (review)
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Ross, Brian
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- 2012
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11. Remote and Rural Placements Occurring during Early Medical Training as a Multidimensional Place-Based Medical Education Experience
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Ross, Brian M., Cameron, Erin, and Greenwood, David
- Abstract
The Northern Ontario School of Medicine delivers medical education aiming to improve the health outcomes for persons living in Northern Ontario, including those in underserviced rural and geographically remote communities. Second year students experience rural medicine and living during two four-week long placements set in remote and rural communities (RRCP) supervised by local physicians. This place-based approach to medical education aims to equip learners with the skills and dispositions needed to work there successfully. The goal of the study was to develop a better understanding of RRCPs from different perspectives: Institutional, community-preceptors and students. Data was collected by review of institutional documents, semi-structured interviews, and questionnaires to obtain information about the aims of each group. A place-based educational framework informed the analysis which developed themes and sub-themes using a constructivist approach. The aims of each group were in five themes, social accountability, community engagement, integrated learning, forming the rural clinician, and living in place as a rural clinician. Differences were, however, apparent in terms of emphasis and perceived relevance, with these being related to the perceptual, political, ideological and social dimensions. For example, the finding that students did not value extra-clinical learning about or within the wider community can be viewed as students having a different place-relationship with the community than their teachers in terms of the social dimension. The data suggests that curricula should include consideration of the various ways students and teachers interact with placement communities with the aim of gaining understanding of, and bridging the gap between, their different expectations.
- Published
- 2020
12. Intact Human Immunodeficiency Virus (HIV) Reservoir Estimated by the Intact Proviral DNA Assay Correlates With Levels of Total and Integrated DNA in the Blood During Suppressive Antiretroviral Therapy.
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Papasavvas, Emmanouil, Azzoni, Livio, Ross, Brian N, Fair, Matthew, Yuan, Zhe, Gyampoh, Kwasi, Mackiewicz, Agnieszka, Sciorillo, Amanda C, Pagliuzza, Amelie, Lada, Steven M, Wu, Guoxin, Goh, Shih Lin, Bahnck-Teets, Carolyn, Holder, Daniel J, Zuck, Paul D, Damra, Mohammad, Lynn, Kenneth M, Tebas, Pablo, Mounzer, Karam, Kostman, Jay R, Abdel-Mohsen, Mohamed, Richman, Douglas, Chomont, Nicolas, Howell, Bonnie J, and Montaner, Luis J
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Infectious Diseases ,HIV/AIDS ,Genetics ,Clinical Research ,Infection ,Good Health and Well Being ,CD4-Positive T-Lymphocytes ,DNA ,Viral ,HIV Infections ,HIV-1 ,Humans ,Proviruses ,Virus Latency ,HIV latency ,IPDA ,TILDA ,p24 ,integrated HIV ,Integrated HIV ,Biological Sciences ,Medical and Health Sciences ,Microbiology - Abstract
Accurate characterization of the HIV reservoir is imperative to develop an effective cure. HIV was measured in antiretroviral therapy-suppressed individuals using the intact proviral DNA assay (IPDA), along with assays for total or integrated HIV DNA, and inducible HIV RNA or p24. Intact provirus correlated with total and integrated HIV.
- Published
- 2021
13. Enhanced mitochondrial fission suppresses signaling and metastasis in triple-negative breast cancer
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Humphries, Brock A, Cutter, Alyssa C, Buschhaus, Johanna M, Chen, Yu-Chih, Qyli, Tonela, Palagama, Dilrukshika SW, Eckley, Samantha, Robison, Tanner H, Bevoor, Avinash, Chiang, Benjamin, Haley, Henry R, Sahoo, Saswat, Spinosa, Phillip C, Neale, Dylan B, Boppisetti, Jagadish, Sahoo, Debashis, Ghosh, Pradipta, Lahann, Joerg, Ross, Brian D, Yoon, Eusik, Luker, Kathryn E, and Luker, Gary D
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Cancer ,Breast Cancer ,2.1 Biological and endogenous factors ,Aetiology ,Animals ,Bone Neoplasms ,Carboxy-Lyases ,Cell Transformation ,Neoplastic ,Female ,Humans ,Immunosuppressive Agents ,Leflunomide ,Mice ,Mice ,Inbred NOD ,Mice ,SCID ,Mitochondria ,Mitochondrial Dynamics ,Neoplasm Invasiveness ,Phosphatidylinositol 3-Kinases ,Prognosis ,Proto-Oncogene Proteins c-akt ,TOR Serine-Threonine Kinases ,Triple Negative Breast Neoplasms ,Tumor Cells ,Cultured ,Xenograft Model Antitumor Assays ,Triple-negative breast cancer ,ERK ,Akt ,Fluorescence microscopy ,Mitochondrial fission ,Mitochondrial fusion ,Metastasis ,Oncology and Carcinogenesis ,Oncology & Carcinogenesis - Abstract
BackgroundMitochondrial dynamics underlies malignant transformation, cancer progression, and response to treatment. Current research presents conflicting evidence for functions of mitochondrial fission and fusion in tumor progression. Here, we investigated how mitochondrial fission and fusion states regulate underlying processes of cancer progression and metastasis in triple-negative breast cancer (TNBC).MethodsWe enforced mitochondrial fission and fusion states through chemical or genetic approaches and measured migration and invasion of TNBC cells in 2D and 3D in vitro models. We also utilized kinase translocation reporters (KTRs) to identify single cell effects of mitochondrial state on signaling cascades, PI3K/Akt/mTOR and Ras/Raf/MEK/ERK, commonly activated in TNBC. Furthermore, we determined effects of fission and fusion states on metastasis, bone destruction, and signaling in mouse models of breast cancer.ResultsEnforcing mitochondrial fission through chemical or genetic approaches inhibited migration, invasion, and metastasis in TNBC. Breast cancer cells with predominantly fissioned mitochondria exhibited reduced activation of Akt and ERK both in vitro and in mouse models of breast cancer. Treatment with leflunomide, a potent activator of mitochondrial fusion proteins, overcame inhibitory effects of fission on migration, signaling, and metastasis. Mining existing datasets for breast cancer revealed that increased expression of genes associated with mitochondrial fission correlated with improved survival in human breast cancer.ConclusionsIn TNBC, mitochondrial fission inhibits cellular processes and signaling pathways associated with cancer progression and metastasis. These data suggest that therapies driving mitochondrial fission may benefit patients with breast cancer.
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- 2020
14. Spatially compartmentalized phase regulation of a Ca2+-cAMP-PKA oscillatory circuit.
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Tenner, Brian, Getz, Michael, Ross, Brian, Ohadi, Donya, Bohrer, Christopher H, Greenwald, Eric, Mehta, Sohum, Xiao, Jie, Rangamani, Padmini, and Zhang, Jin
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biochemistry ,cAMP ,chemical biology ,computational biology ,mouse ,pancreatic beta cell ,signaling compartmentalization ,systems biology ,Biochemistry and Cell Biology - Abstract
Signaling networks are spatiotemporally organized to sense diverse inputs, process information, and carry out specific cellular tasks. In β cells, Ca2+, cyclic adenosine monophosphate (cAMP), and Protein Kinase A (PKA) exist in an oscillatory circuit characterized by a high degree of feedback. Here, we describe a mode of regulation within this circuit involving a spatial dependence of the relative phase between cAMP, PKA, and Ca2+. We show that in mouse MIN6 β cells, nanodomain clustering of Ca2+-sensitive adenylyl cyclases (ACs) drives oscillations of local cAMP levels to be precisely in-phase with Ca2+ oscillations, whereas Ca2+-sensitive phosphodiesterases maintain out-of-phase oscillations outside of the nanodomain. Disruption of this precise phase relationship perturbs Ca2+ oscillations, suggesting the relative phase within an oscillatory circuit can encode specific functional information. This work unveils a novel mechanism of cAMP compartmentation utilized for localized tuning of an oscillatory circuit and has broad implications for the spatiotemporal regulation of signaling networks.
- Published
- 2020
15. The Socially Accountable Professor in Higher Education
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Ross, Brian M.
- Abstract
Social accountability has become an important philosophy driving the development of health professional education which is responsive to the needs of the wider community. Although the intention to be socially accountable is usually expressed at the level of the institution, the institution's educational mission is carried out largely by its faculty. Moreover, while the actions of a socially accountable educational institution have been well described, what individual faculty should do to support such a mission is much less clear. This paper summarises the literature surrounding community-responsive education and makes recommendations regarding how faculty should act to support social accountability including a commitment to community-service as a professional value, seeing oneself as part of the wider community rather than distinct from it, being actively community engaged, measuring success by means of community impact, and being involved in the internal governance and leadership of the institution.
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- 2018
16. Intact HIV reservoir estimated by the intact proviral DNA assay correlates with levels of total and integrated DNA in the blood during suppressive antiretroviral therapy.
- Author
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Papasavvas, Emmanouil, Azzoni, Livio, Ross, Brian N, Fair, Matthew, Yuan, Zhe, Gyampoh, Kwasi, Mackiewicz, Agnieszka, Sciorillo, Amanda C, Paggliuzza, Amelie, Lada, Steven M, Wu, Guoxin, Goh, Shih Lin, Bahnck-Teets, Carolyn, Holder, Daniel J, Zuck, Paul D, Damra, Mohammad, Lynn, Kenneth M, Tebas, Pablo, Mounzer, Karam, Kostman, Jay R, Abdel-Mohsen, Mohamed, Richman, Douglas, Chomont, Nicolas, Howell, Bonnie J, and Montaner, Luis J
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HIV latency ,IPDA ,Integrated HIV ,TILDA ,p24 ,Microbiology ,Biological Sciences ,Medical and Health Sciences - Abstract
Accurate characterization of the HIV reservoir is imperative to develop an effective cure. HIV was measured in antiretroviral therapy-suppressed individuals using the intact proviral DNA assay (IPDA), along with assays for total or integrated HIV DNA, and inducible HIV RNA or p24. Intact provirus correlated with total and integrated HIV.
- Published
- 2020
17. Repeatability and Reproducibility of ADC Histogram Metrics from the ACRIN 6698 Breast Cancer Therapy Response Trial
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Newitt, David C, Amouzandeh, Ghoncheh, Partridge, Savannah C, Marques, Helga S, Herman, Benjamin A, Ross, Brian D, Hylton, Nola M, Chenevert, Thomas L, and Malyarenko, Dariya I
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Biomedical and Clinical Sciences ,Clinical Sciences ,Oncology and Carcinogenesis ,Breast Cancer ,Cancer ,Biomedical Imaging ,Clinical Research ,4.2 Evaluation of markers and technologies ,Detection ,screening and diagnosis ,Benchmarking ,Breast Neoplasms ,Diffusion Magnetic Resonance Imaging ,Female ,Humans ,Reproducibility of Results ,Tumor Burden ,Clinical imaging trials ,breast cancer therapy response ,apparent diffusion coefficient ,ADC repeatability ,ADC histogram analysis - Abstract
Mean tumor apparent diffusion coefficient (ADC) of breast cancer showed excellent repeatability but only moderate predictive power for breast cancer therapy response in the ACRIN 6698 multicenter imaging trial. Previous single-center studies have shown improved predictive performance for alternative ADC histogram metrics related to low ADC dense tumor volume. Using test/retest (TT/RT) 4 b-value diffusion-weighted imaging acquisitions from pretreatment or early-treatment time-points on 71 ACRIN 6698 patients, we evaluated repeatability for ADC histogram metrics to establish confidence intervals and inform predictive models for future therapy response analysis. Histograms were generated using regions of interest (ROIs) defined separately for TT and RT diffusion-weighted imaging. TT/RT repeatability and intra- and inter-reader reproducibility (on a 20-patient subset) were evaluated using wCV and Bland-Altman limits of agreement for histogram percentiles, low-ADC dense tumor volumes, and fractional volumes (normalized to total histogram volume). Pearson correlation was used to reveal connections between metrics and ROI variability across the sample cohort. Low percentiles (15th and 25th) were highly repeatable and reproducible, wCV < 8.1%, comparable to mean ADC values previously reported. Volumetric metrics had higher wCV values in all cases, with fractional volumes somewhat better but at least 3 times higher than percentile wCVs. These metrics appear most sensitive to ADC changes around a threshold of 1.2 μm2/ms. Volumetric results were moderately to strongly correlated with ROI size. In conclusion, Lower histogram percentiles have comparable repeatability to mean ADC, while ADC-thresholded volumetric measures currently have poor repeatability but may benefit from improvements in ROI techniques.
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- 2020
18. PV Stormwater Management Research and Testing (PV-SMaRT): Final Technical Report
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McCall, James, primary, Daw, Jennifer, additional, Day, Megan, additional, Galzki, Jake, additional, Hanson, Aaron, additional, Mulla, David, additional, and Ross, Brian, additional
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- 2023
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19. Allergen‐encapsulating Nanoparticles Reprogram Pathogenic Allergen‐Specific Th2 Cells to Suppress Food Allergy
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Saunders, Michael N., primary, Rad, Laila M., additional, Williams, Laura A., additional, Landers, Jeffrey J., additional, Urie, Russell R., additional, Hocevar, Sarah E., additional, Quiros, Miguel, additional, Chiang, Ming‐Yi, additional, Angadi, Amogh R., additional, Janczak, Katarzyna W., additional, Bealer, Elizabeth J., additional, Crumley, Kelly, additional, Benson, Olivia E., additional, Griffin, Kate V., additional, Ross, Brian C., additional, Parkos, Charles A., additional, Nusrat, Asma, additional, Miller, Stephen D., additional, Podojil, Joseph R., additional, O'Konek, Jessica J., additional, and Shea, Lonnie D., additional
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- 2024
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20. A lymphatic-absorbed multi-targeted kinase inhibitor for myelofibrosis therapy
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Ross, Brian D., Jang, Youngsoon, Welton, Amanda, Bonham, Christopher A., Palagama, Dilrukshika S. W., Heist, Kevin, Boppisetti, Jagadish, Imaduwage, Kasun P., Robison, Tanner, King, Leah R., Zhang, Edward Z., Amirfazli, Cyrus, Luker, Kathryn E., Lee, Winston Y., Luker, Gary D., Chenevert, Thomas L., and Van Dort, Marcian E.
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- 2022
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21. Healthy US population reference values for CT visceral fat measurements and the impact of IV contrast, HU range, and spinal levels
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Derstine, Brian A., Holcombe, Sven A, Ross, Brian E, Wang, Nicholas C, Wang, Stewart C, and Su, Grace L
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- 2022
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22. A correction score to compare aortic calcification in contrast enhanced and non-contrast measurements from computed tomography scans
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Horbal, Steven R., Brown, Edward, Derstine, Brian A., Zhang, Peng, Bidulescu, Aurelian, Sullivan, June A., Ross, Brian E., Su, Grace L., Holcombe, Sven A., and Wang, Stewart C.
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- 2022
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23. Structural effects of morpholine replacement in ZSTK474 on Class I PI3K isoform inhibition: Development of novel MEK/PI3K bifunctional inhibitors
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Van Dort, Marcian E., Jang, Youngsoon, Bonham, Christopher A., Heist, Kevin, Palagama, Dilrukshika S.W., McDonald, Lucas, Zhang, Edward Z., Chenevert, Thomas L., Luker, Gary D., and Ross, Brian D.
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- 2022
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24. Building‐Block Size Mediates Microporous Annealed Particle Hydrogel Tube Microenvironment Following Spinal Cord Injury.
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Ross, Brian C., Kent, Robert N., Saunders, Michael N., Schwartz, Samantha R., Smiley, Brooke M., Hocevar, Sarah E., Chen, Shao‐Chi, Xiao, Chengchuan, Williams, Laura A., Anderson, Aileen J., Cummings, Brian J., Baker, Brendon M., and Shea, Lonnie D.
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- 2024
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25. Artificial intelligence and social accountability in the Canadian health care landscape: A rapid literature review.
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Anawati, Alex, Fleming, Holly, Mertz, Megan, Bertrand, Jillian, Dumond, Jennifer, Myles, Sophia, Leblanc, Joseph, Ross, Brian, Lamoureux, Daniel, Patel, Div, Carrier, Renald, and Cameron, Erin
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- 2024
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26. Artificial Intelligence for Quantifying Cumulative Small Bowel Disease Severity on CT-Enterography in Crohn's Disease.
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Stidham, Ryan W., Enchakalody, Binu, Wang, Stewart C., Su, Grace L., Ross, Brian, Al-Hawary, Mahmoud, and Wasnik, Ashish P.
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- 2024
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27. Parametric Response Mapping of FLAIR MRI Provides an Early Indication of Progression Risk in Glioblastoma
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Hoff, Benjamin A., Lemasson, Benjamin, Chenevert, Thomas L., Luker, Gary D., Tsien, Christina I., Amouzandeh, Ghoncheh, Johnson, Timothy D., and Ross, Brian D.
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- 2021
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28. Parametric Response Map (PRM) Analysis Improves Response Assessment in Gliomas
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Cardenas, Michael, Galban, Craig J., Chenevert, Thomas L., Miller-Thomas, Michelle, Ross, Brian D., Tsien, Christina, and Pope, Whitney B., editor
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- 2020
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29. Conceptual Problem Solving in High School Physics
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Docktor, Jennifer L., Strand, Natalie E., Mestre, José P., and Ross, Brian H.
- Abstract
Problem solving is a critical element of learning physics. However, traditional instruction often emphasizes the quantitative aspects of problem solving such as equations and mathematical procedures rather than qualitative analysis for selecting appropriate concepts and principles. This study describes the development and evaluation of an instructional approach called "Conceptual Problem Solving" (CPS) which guides students to identify principles, justify their use, and plan their solution in writing before solving a problem. The CPS approach was implemented by high school physics teachers at three schools for major theorems and conservation laws in mechanics and CPS-taught classes were compared to control classes taught using traditional problem solving methods. Information about the teachers' implementation of the approach was gathered from classroom observations and interviews, and the effectiveness of the approach was evaluated from a series of written assessments. Results indicated that teachers found CPS easy to integrate into their curricula, students engaged in classroom discussions and produced problem solutions of a higher quality than before, and students scored higher on conceptual and problem solving measures.
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- 2015
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30. Bioinformatics approaches to studying mesenchymal stem cell behaviour on artificial extracellular matrices
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Gurden, Ross Brian
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616.02 ,QH Natural history - Abstract
Stem cells have potential use in tissue engineering and regenerative medicine, and as they underlie the development and maintenance of tissues throughout life, how they function is also of interest. The extracellular matrix presents a variety of physical and chemical signals to stem cells to regulate their behaviour in vivo. Recapitulation of these signals in vitro could enable the control of explanted stem cells to facilitate their study. Biomaterials that display extracellular-matrix inspired cues are one way to do this. By combining surface chemistry and fibronectin, an extracellular matrix protein with cell binding and growth factor binding domains, the conformation of fibronectin was controlled to create artificial extracellular matrices. Adsorbed on a film of poly(ethyl acrylate), fibronectin adopted a network-like conformation which ostensibly increased the exposure of its functional domains, whereas on poly(methyl acrylate) it had an unconnected organisation with more concealed domains. The growth factors bone morphogenetic protein 2 and vascular endothelial growth factor, known to bind to fibronectin, were adsorbed to the network conformation. Prior studies have reported that these artificial extracellular matrices differentially affected cell behaviour. In this work, the growth and differentiation of human bone marrow stromal cell surface marker-1 positive mesenchymal stem cells was characterised on these substrates. It was shown that all combinations of fibronectin conformation and growth factors supported cell adhesion and growth. A high-content image processing and analysis pipeline was developed to take advantage of automated fluorescence microscopy to show that cytoskeletal, nuclei, and differentiation-associated protein features distinguished cells cultured on the artificial extracellular matrices. Those on the isolated conformation and the network conformation with vascular endothelial growth factor were particularly distinct. Further, metabolomics revealed several metabolic pathways that differed in activity between the fibronectin conformations. To analyse the metabolomics data a Quick Results web application was built, which extended the existing Polyomics integrated Metabolomics Pipeline. The application improves the visualisation and interpretation of untargeted liquid chromatography—mass spectrometry metabolomics data. This work gives insights into how these artificial extracellular matrices can control stem cell behaviour, and developed and demonstrated several tools to improve the understanding of these biomaterials and the use of metabolomics data.
- Published
- 2017
31. Age and Small Airway Imaging Abnormalities in Subjects with and without Airflow Obstruction in SPIROMICS
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Martinez, Carlos H, Diaz, Alejandro A, Meldrum, Catherine, Curtis, Jeffrey L, Cooper, Christopher B, Pirozzi, Cheryl, Kanner, Richard E, Paine, Robert, Woodruff, Prescott G, Bleecker, Eugene R, Hansel, Nadia N, Barr, R Graham, Marchetti, Nathaniel, Criner, Gerard J, Kazerooni, Ella A, Hoffman, Eric A, Ross, Brian D, Galban, Craig J, Cigolle, Christine T, Martinez, Fernando J, and Han, MeiLan K
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Lung ,Clinical Research ,Biomedical Imaging ,Chronic Obstructive Pulmonary Disease ,Respiratory ,Adult ,Aged ,Aged ,80 and over ,Aging ,Airway Obstruction ,Cohort Studies ,Cross-Sectional Studies ,Female ,Forced Expiratory Volume ,Humans ,Male ,Middle Aged ,Multicenter Studies as Topic ,Multivariate Analysis ,Pulmonary Emphysema ,Smoking ,Spirometry ,Tomography ,X-Ray Computed ,Vital Capacity ,spirometry ,imaging analysis ,aging ,geriatrics ,lung function ,SPIROMICS Investigators ,Medical and Health Sciences ,Respiratory System - Abstract
RationaleAging is associated with reduced FEV1 to FVC ratio (FEV1/FVC), hyperinflation, and alveolar enlargement, but little is known about how age affects small airways.ObjectivesTo determine if chest computed tomography (CT)-assessed functional small airway would increase with age, even among asymptomatic individuals.MethodsWe used parametric response mapping analysis of paired inspiratory/expiratory CTs to identify functional small airway abnormality (PRMFSA) and emphysema (PRMEMPH) in the SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study) cohort. Using adjusted linear regression models, we analyzed associations between PRMFSA and age in subjects with or without airflow obstruction. We subdivided participants with normal spirometry based on respiratory-related impairment (6-minute-walk distance 25, respiratory events requiring treatment [antibiotics and/or steroids or hospitalization] in the year before enrollment).Measurements and main resultsAmong 580 never- and ever-smokers without obstruction or respiratory impairment, PRMFSA increased 2.7% per decade, ranging from 3.6% (ages 40-50 yr) to 12.7% (ages 70-80 yr). PRMEMPH increased nonsignificantly (0.1% [ages 40-50 yr] to 0.4% [ages 70-80 yr]; P = 0.34). Associations were similar among nonobstructed individuals with respiratory-related impairment. Increasing PRMFSA in subjects without airflow obstruction was associated with increased FVC (P = 0.004) but unchanged FEV1 (P = 0.94), yielding lower FEV1/FVC ratios (P
- Published
- 2017
32. A pairwise distance distribution correction (DDC) algorithm to eliminate blinking-caused artifacts in SMLM
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Bohrer, Christopher H., Yang, Xinxing, Thakur, Shreyasi, Weng, Xiaoli, Tenner, Brian, McQuillen, Ryan, Ross, Brian, Wooten, Matthew, Chen, Xin, Zhang, Jin, Roberts, Elijah, Lakadamyali, Melike, and Xiao, Jie
- Published
- 2021
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33. Quantitative MRI reveals heterogeneous impacts of treatment on diseased bone marrow in a mouse model of myelofibrosis.
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Robison, Tanner H., Lee, Winston, Luker, Kathryn E., Pettit, Kristen, Talpaz, Moshe, Chenevert, Thomas L., Ross, Brian D., and Luker, Gary D.
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MYELOFIBROSIS ,BONE marrow ,BONE marrow diseases ,LABORATORY mice ,ANIMAL disease models ,MAGNETIC resonance imaging - Abstract
Purpose: Analyzing bone marrow in the hematologic cancermyelofibrosis requires endpoint histology in mouse models and bone marrow biopsies in patients. These methods hinder the ability tomonitor therapy over time. Preclinical studies typically begin treatment before mice develop myelofibrosis, unlike patients who begin therapy only after onset of disease. Using clinically relevant, quantitative MRI metrics allowed us to evaluate treatment in mice with established myelofibrosis. Methods: We used chemical shift-encoded fat imaging, DWI, and magnetization transfer sequences to quantify bone marrow fat, cellularity, and macromolecular components in a mouse model of myelofibrosis. We monitored spleen volume, the established imaging marker for treatment, with anatomic MRI. After confirming bone marrow disease by MRI, we randomized mice to treatment with an approved drug (ruxolitinib or fedratinib) or an investigational agent, navitoclax, for 33 days. We measured the effects of therapy over time with bone marrow and spleen MRI. Results: All treatments produced heterogeneous responses with improvements in bone marrow evident in subsets of individual mice in all treatment groups. Reductions in spleen volume commonly occurred without corresponding improvement in bone marrow. MRI revealed patterns associated with effective and ineffective responses to treatment in bone marrow and identified regional variations in efficacy within a bone. Conclusions: Quantitative MRI revealed modest, heterogeneous improvements in bone marrow disease when treating mice with established myelofibrosis. These results emphasize the value of bone marrow MRI to assess treatment in preclinical models and the potential to advance clinical trials for patients. [ABSTRACT FROM AUTHOR]
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- 2024
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34. Deep Learning Concepts for Evolutionary Art
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Tanjil, Fazle, Ross, Brian J., Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Ekárt, Anikó, editor, Liapis, Antonios, editor, and Castro Pena, María Luz, editor
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- 2019
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35. Morphomic calcification score from clinical CT scans: A proxy for coronary artery calcium
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Horbal, Steven R., Rossman, Andrea H., Brown, Edward, Shah, Nidhi V., Ross, Brian E., Bidulescu, Aurelian, Sullivan, June A., Su, Grace L., and Wang, Stewart C.
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- 2020
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36. Association between Functional Small Airway Disease and FEV1 Decline in Chronic Obstructive Pulmonary Disease.
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Bhatt, Surya P, Soler, Xavier, Wang, Xin, Murray, Susan, Anzueto, Antonio R, Beaty, Terri H, Boriek, Aladin M, Casaburi, Richard, Criner, Gerard J, Diaz, Alejandro A, Dransfield, Mark T, Curran-Everett, Douglas, Galbán, Craig J, Hoffman, Eric A, Hogg, James C, Kazerooni, Ella A, Kim, Victor, Kinney, Gregory L, Lagstein, Amir, Lynch, David A, Make, Barry J, Martinez, Fernando J, Ramsdell, Joe W, Reddy, Rishindra, Ross, Brian D, Rossiter, Harry B, Steiner, Robert M, Strand, Matthew J, van Beek, Edwin JR, Wan, Emily S, Washko, George R, Wells, J Michael, Wendt, Chris H, Wise, Robert A, Silverman, Edwin K, Crapo, James D, Bowler, Russell P, Han, MeiLan K, and COPDGene Investigators
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COPDGene Investigators ,Respiratory System ,Lung ,Humans ,Pulmonary Disease ,Chronic Obstructive ,Tomography ,X-Ray Computed ,Forced Expiratory Volume ,Spirometry ,Middle Aged ,Female ,Male ,FEV1 ,lung function ,parametric response mapping ,Chronic Obstructive Pulmonary Disease ,Clinical Research ,Respiratory ,Medical and Health Sciences - Abstract
RationaleThe small conducting airways are the major site of airflow obstruction in chronic obstructive pulmonary disease and may precede emphysema development.ObjectivesWe hypothesized a novel computed tomography (CT) biomarker of small airway disease predicts FEV1 decline.MethodsWe analyzed 1,508 current and former smokers from COPDGene with linear regression to assess predictors of change in FEV1 (ml/yr) over 5 years. Separate models for subjects without and with airflow obstruction were generated using baseline clinical and physiologic predictors in addition to two novel CT metrics created by parametric response mapping (PRM), a technique pairing inspiratory and expiratory CT images to define emphysema (PRM(emph)) and functional small airways disease (PRM(fSAD)), a measure of nonemphysematous air trapping.Measurements and main resultsMean (SD) rate of FEV1 decline in ml/yr for GOLD (Global Initiative for Chronic Obstructive Lung Disease) 0-4 was as follows: 41.8 (47.7), 53.8 (57.1), 45.6 (61.1), 31.6 (43.6), and 5.1 (35.8), respectively (trend test for grades 1-4; P
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- 2016
37. 2555. Metronidazole Dosing in Patients with and without Obesity Undergoing Colorectal Surgery: Should body size or composition be a factor?
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Pai, Manjunath P, primary, Matvekas, Aleksas, additional, Rajanayake, Krishani, additional, Carrier, Theresa, additional, Nguyen, Allison, additional, Ross, Brian, additional, Sullivan, June, additional, Alikhani, Radin, additional, Abdelnabi, Mohamed, additional, Regenbogen, Scott, additional, Byrn, John, additional, Su, Grace, additional, and Wang, Stewart, additional
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- 2023
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38. Nanopore Sequencing of the phi X 174 genome
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Laszlo, Andrew H., Derrington, Ian M., Ross, Brian C., Brinkerhoff, Henry, Adey, Andrew, Nova, Ian C., Craig, Jonathan M., Langford, Kyle W., Samson, Jenny Mae, Daza, Riza, Doering, Kenji, Shendure, Jay, and Gundlach, Jens H.
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Quantitative Biology - Genomics ,Physics - Biological Physics - Abstract
Nanopore sequencing of DNA is a single-molecule technique that may achieve long reads, low cost, and high speed with minimal sample preparation and instrumentation. Here, we build on recent progress with respect to nanopore resolution and DNA control to interpret the procession of ion current levels observed during the translocation of DNA through the pore MspA. As approximately four nucleotides affect the ion current of each level, we measured the ion current corresponding to all 256 four-nucleotide combinations (quadromers). This quadromer map is highly predictive of ion current levels of previously unmeasured sequences derived from the bacteriophage phi X 174 genome. Furthermore, we show nanopore sequencing reads of phi X 174 up to 4,500 bases in length that can be unambiguously aligned to the phi X 174 reference genome, and demonstrate proof-of-concept utility with respect to hybrid genome assembly and polymorphism detection. All methods and data are made fully available., Comment: 11 pages, 4 figures, 27 page supplement with 15 figures and 6 tables
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- 2014
39. Technology for Innovation in Radiation Oncology
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Chetty, Indrin J, Martel, Mary K, Jaffray, David A, Benedict, Stanley H, Hahn, Stephen M, Berbeco, Ross, Deye, James, Jeraj, Robert, Kavanagh, Brian, Krishnan, Sunil, Lee, Nancy, Low, Daniel A, Mankoff, David, Marks, Lawrence B, Ollendorf, Daniel, Paganetti, Harald, Ross, Brian, Siochi, Ramon Alfredo C, Timmerman, Robert D, and Wong, John W
- Subjects
Bioengineering ,Cancer ,Good Health and Well Being ,Humans ,Ions ,Neoplasms ,Positron-Emission Tomography ,Proton Therapy ,Radiation Oncology ,Radiosurgery ,Radiotherapy ,Radiotherapy ,Computer-Assisted ,Other Physical Sciences ,Clinical Sciences ,Oncology and Carcinogenesis ,Oncology & Carcinogenesis - Abstract
Radiation therapy is an effective, personalized cancer treatment that has benefited from technological advances associated with the growing ability to identify and target tumors with accuracy and precision. Given that these advances have played a central role in the success of radiation therapy as a major component of comprehensive cancer care, the American Society for Radiation Oncology (ASTRO), the American Association of Physicists in Medicine (AAPM), and the National Cancer Institute (NCI) sponsored a workshop entitled "Technology for Innovation in Radiation Oncology," which took place at the National Institutes of Health (NIH) in Bethesda, Maryland, on June 13 and 14, 2013. The purpose of this workshop was to discuss emerging technology for the field and to recognize areas for greater research investment. Expert clinicians and scientists discussed innovative technology in radiation oncology, in particular as to how these technologies are being developed and translated to clinical practice in the face of current and future challenges and opportunities. Technologies encompassed topics in functional imaging, treatment devices, nanotechnology, and information technology. The technical, quality, and safety performance of these technologies were also considered. A major theme of the workshop was the growing importance of innovation in the domain of process automation and oncology informatics. The technologically advanced nature of radiation therapy treatments predisposes radiation oncology research teams to take on informatics research initiatives. In addition, the discussion on technology development was balanced with a parallel conversation regarding the need for evidence of efficacy and effectiveness. The linkage between the need for evidence and the efforts in informatics research was clearly identified as synergistic.
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- 2015
40. Optimal body size adjustment of L3 CT skeletal muscle area for sarcopenia assessment
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Derstine, Brian A., Holcombe, Sven A., Ross, Brian E., Wang, Nicholas C., Su, Grace L., and Wang, Stewart C.
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- 2021
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41. A Comparison of Knee Strategies for Hierarchical Spatial Clustering
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Ross, Brian J., Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Mouhoub, Malek, editor, Sadaoui, Samira, editor, Ait Mohamed, Otmane, editor, and Ali, Moonis, editor
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- 2018
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42. Non-photorealistic Rendering with Cartesian Genetic Programming Using Graphics Processing Units
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Bakurov, Illya, Ross, Brian J., Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Liapis, Antonios, editor, Romero Cardalda, Juan Jesús, editor, and Ekárt, Anikó, editor
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- 2018
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43. Retrospective Registration in Molecular Imaging
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Ross, Brian D., primary, Chenevert, Thomas L., additional, and Meyer, Charles R., additional
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- 2021
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44. General Principles of Molecular Imaging
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Ross, Brian D., primary and Gambhir, Sanjiv Sam, additional
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- 2021
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45. Contributors
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Aarntzen, Erik, primary, Achilefu, Samuel, additional, Akam, Eman A., additional, Albaghdadi, Mazen, additional, Beer, Ambros J., additional, Bharti, Santosh, additional, Bhujwalla, Zaver M., additional, Bischof, Gérard N., additional, Biswal, Sandip, additional, Boss, Marti, additional, Botnar, René M., additional, Brinson, Zabecca, additional, Brom, Maarten, additional, Buitinga, Mijke, additional, Bulte, Jeff W.M., additional, Caravan, Peter, additional, Chan, Heang-Ping, additional, Chandy, Mark, additional, Chaney, Aisling M., additional, Chen, Delphine L., additional, Chen, Xiaoyuan (Shawn), additional, Chenevert, Thomas L., additional, Coughlin, Jennifer M., additional, Covington, Matthew F., additional, Cumming, Paul, additional, Daldrup-Link, Heike E., additional, Deal, Emily M., additional, de Galan, Bastiaan, additional, Derlin, Thorsten, additional, Dewhirst, Mark W., additional, Di Paolo, Arianna, additional, Drzezga, Alexander, additional, Du, Yong, additional, Thi-Quynh Duong, Mai, additional, Ehman, Richard L., additional, Eriksson, Olof, additional, Galli, Filippo, additional, Gatenby, Robert A., additional, Gelovani, Juri, additional, Giehl, Kathrin, additional, Giger, Maryellen L., additional, Goel, Reema, additional, Gold, Garry, additional, Gotthardt, Martin, additional, Graham, Michael M., additional, Gropler, Robert J., additional, Gründer, Gerhard, additional, Gulhane, Avanti, additional, Hadjiiski, Lubomir, additional, Hajhosseiny, Reza, additional, Hammoud, Dima A., additional, Helfer, Brooke M., additional, Hicks, Rodney J., additional, Higuchi, Takahiro, additional, Hoffman, John M., additional, Honer, Michael, additional, Huang, Sung-Cheng (Henry), additional, Hung, Jessica, additional, Hwang, Do Won, additional, Jackson, Isaac M., additional, Jacobs, Andreas H., additional, Jaffer, Farouc A., additional, Jain, Sanjay K., additional, James, Michelle L., additional, Jansen, Tom, additional, Johansson, Lars, additional, Joosten, Lieke, additional, Kakkad, Samata, additional, Kamson, David, additional, Kang, Sae-Ryung, additional, Kelly, Kimberly A., additional, Knopp, Michelle I., additional, Knopp, Michael V., additional, Kogan, Feliks, additional, Krishnamachary, Balaji, additional, Künnecke, Basil, additional, Lee, Dong Soo, additional, Libby, Peter, additional, Luker, Gary D., additional, Luker, Kathryn E., additional, Makowski, Marcus R., additional, Mankoff, David A., additional, Massoud, Tarik F., additional, Meyer, Charles R., additional, Miller, Zach, additional, Min, Jung-Joon, additional, Mondal, Suman B., additional, Montesi, Sydney B., additional, Navin, Patrick J., additional, Nekolla, Stephan G., additional, Niu, Gang, additional, Notohamiprodjo, Susan, additional, Ordoñez, Alvaro A., additional, Osborn, Eric A., additional, Pacheco-Torres, Jesus, additional, Pagano, Gennaro, additional, Palmer, Gregory M., additional, Paulmurugan, Ramasamy, additional, Penet, Marie-France, additional, Phinikaridou, Alkystis, additional, Pomper, Martin G., additional, Prieto, Claudia, additional, Qi, Haikun, additional, Raghunand, Natarajan, additional, Ramar, Thangam, additional, Reynolds, Fred, additional, Ropella-Panagis, Kathleen, additional, Ross, Brian D., additional, Rowe, Steven P., additional, Rudin, Markus, additional, Sadaghiani, Mohammad S., additional, Sager, Hendrik, additional, Samala, Ravi, additional, Saraste, Antti, additional, Schelhaas, Sonja, additional, Schwaiger, Markus, additional, Schwarz, Sally W., additional, Seiberlich, Nicole, additional, Shapiro, Mikhail G., additional, Shim, Hyunsuk, additional, Signore, Alberto, additional, Solnes, Lilja B., additional, Suh, Minseok, additional, Tsien, Christina, additional, van Eimeren, Thilo, additional, Varasteh, Zohreh, additional, Venkatesh, Sudhakar Kundapur, additional, Viel, Thomas, additional, Waerzeggers, Yannic, additional, Wahl, Richard L., additional, Weber, Wolfgang, additional, Werner, Rudolf A., additional, Winkeler, Alexandra, additional, Wong, Dean F., additional, Wright, Chadwick L., additional, Wu, Anna M., additional, Wu, Joseph C., additional, Yoon, Daehyun, additional, You, Sung-Hwan, additional, Yuan, Chun, additional, Yuan, Hong, additional, Zanzonico, Pat, additional, Zhao, Xue-Qiao, additional, Zhou, Iris Y., additional, and Zinnhardt, Bastian, additional
- Published
- 2021
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46. Cancer Detection and Quantification of Treatment Response Using Diffusion-Weighted MRI
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Ross, Brian D., primary and Chenevert, Thomas L., additional
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- 2021
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47. Contributors
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Aime, Silvio, primary, Amirshaghaghi, Ahmad, additional, Angel, Peggi M., additional, Ardenkjaer-Larsen, Jan H., additional, Atreya, Raja, additional, Awe, Sunny, additional, Badea, Cristian T., additional, Beekman, Freek J., additional, Biade, Siham, additional, Borden, Mark A., additional, Brunsing, Ryan L., additional, Chandrasekharan, Prashant, additional, Chang, Jae-Byum, additional, Chen, Fei, additional, Chen, John W., additional, Chen, Xiaogyuan, additional, Cheng, Zhen, additional, Cheng, Zhiliang, additional, Cherin, Emmanuel, additional, Clinthorne, Neal H., additional, Cohen, Jonathan, additional, Colson, Caylin, additional, Conolly, Steven, additional, Contag, Christopher H., additional, Cutler, Cathy S., additional, Dayton, Paul A., additional, Devoogdt, Nick, additional, Dina, Olayinka, additional, Drake, Richard R., additional, Dubsky, Stephen, additional, Ducongé, Frédéric, additional, Fellows, Benjamin D., additional, Foster, F. Stuart, additional, Francis, Kevin P., additional, Fung, Barry K.L., additional, Gambhir, Sanjiv Sam, additional, Gao, Ruixuan, additional, Giovenzana, Giovanni B., additional, Goodwill, Patrick, additional, Goorden, Marlies C., additional, Gorpas, Dimitris, additional, Grimm, Jan, additional, Groll, Andrew N., additional, Hargus, Sally, additional, Harmsen, Stefan, additional, He, Shuqing, additional, Hensley, Daniel, additional, Hutton, Brian F., additional, Huynh, Quincy, additional, Iagaru, Andrei, additional, Josephson, Lee, additional, Jurisson, Silvia S., additional, Keselman, Paul, additional, Kircher, Moritz F., additional, Kokate, Tushar, additional, Konkle, Justin, additional, Korsen, Joshua A., additional, Krasniqi, Ahmet, additional, Laniyonu, Adebayo, additional, Levin, Craig S., additional, Lewis, Michael R., additional, Lewis, Jason S., additional, Liu, Guanshu, additional, Liu, Yajing, additional, Looger, Loren L., additional, Lu, Kuan, additional, Lu, Yao, additional, Lucignani, Giovanni, additional, Lyons, Scott K., additional, Maina, Theodosia, additional, Martelli, Cristina, additional, Matheson, Alexander M., additional, Mempel, Thorsten R., additional, Meng, Ling-Jian, additional, Moradi, Farshad, additional, Nagle, Veronica L., additional, Neurath, Markus F., additional, Nicolson, Fay, additional, Nie, Liming, additional, Ntziachristos, Vasilis, additional, Orendorff, Ryan, additional, Ottobrini, Luisa, additional, Ouyang, Yanli, additional, Paez Segala, Maria G., additional, Parraga, Grace, additional, Perez-Liva, Mailyn, additional, Pratt, Edwin C., additional, Rao, Jianghong, additional, Rath, Timo, additional, Rodriguez, Elisenda, additional, Rosenthal, Eben L., additional, Ross, Brian D., additional, Saayujya, Chinmoy, additional, Saritas, Emine Ulku, additional, Scott, Danielle A., additional, Sheth, Vipul R., additional, Slagle, Connor, additional, Tamura, Ryo, additional, Tavitian, Bertrand, additional, Tay, Zhi Wei, additional, Terreno, Enzo, additional, Thakur, Mathew, additional, Thompson, Caleb, additional, Tian, Jie, additional, Travagin, Fabio, additional, Tsourkas, Andrew, additional, Tully, Kathryn M., additional, Usmani, Shariq M., additional, VanBrocklin, Henry F., additional, van Keulen, Stan, additional, van Zijl, Peter C.M., additional, Walmer, Rachel W., additional, Wang, Cuihua, additional, Wang, Joanna, additional, Wang, Lihong V., additional, Xavier, Catarina, additional, Yao, Junjie, additional, Yu, Elaine Y., additional, Zheng, Xianchuang, additional, Zheng, Bo, additional, and Zhou, Xinyi Y., additional
- Published
- 2021
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48. Clinical proton MR spectroscopy in central nervous system disorders.
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Oz, Gülin, Alger, Jeffry R, Barker, Peter B, Bartha, Robert, Bizzi, Alberto, Boesch, Chris, Bolan, Patrick J, Brindle, Kevin M, Cudalbu, Cristina, Dinçer, Alp, Dydak, Ulrike, Emir, Uzay E, Frahm, Jens, González, Ramón Gilberto, Gruber, Stephan, Gruetter, Rolf, Gupta, Rakesh K, Heerschap, Arend, Henning, Anke, Hetherington, Hoby P, Howe, Franklyn A, Hüppi, Petra S, Hurd, Ralph E, Kantarci, Kantarci, Klomp, Dennis WJ, Kreis, Roland, Kruiskamp, Marijn J, Leach, Martin O, Lin, Alexander P, Luijten, Peter R, Marjańska, Malgorzata, Maudsley, Andrew A, Meyerhoff, Dieter J, Mountford, Carolyn E, Nelson, Sarah J, Pamir, M Necmettin, Pan, Jullie W, Peet, Andrew C, Poptani, Harish, Posse, Stefan, Pouwels, Petra JW, Ratai, Eva-Maria, Ross, Brian D, Scheenen, Tom W, Schuster, Christian, Smith, Ian CP, Soher, Brian J, Tkáč, Ivan, Vigneron, Daniel B, Kauppinen, Risto A, and MRS Consensus Group
- Subjects
MRS Consensus Group ,Humans ,Central Nervous System Diseases ,Magnetic Resonance Spectroscopy ,Biomarkers ,Brain Disorders ,Neurodegenerative ,Neurosciences ,Clinical Research ,Biomedical Imaging ,Neurological ,Good Health and Well Being ,Medical and Health Sciences ,Nuclear Medicine & Medical Imaging - Abstract
A large body of published work shows that proton (hydrogen 1 [(1)H]) magnetic resonance (MR) spectroscopy has evolved from a research tool into a clinical neuroimaging modality. Herein, the authors present a summary of brain disorders in which MR spectroscopy has an impact on patient management, together with a critical consideration of common data acquisition and processing procedures. The article documents the impact of (1)H MR spectroscopy in the clinical evaluation of disorders of the central nervous system. The clinical usefulness of (1)H MR spectroscopy has been established for brain neoplasms, neonatal and pediatric disorders (hypoxia-ischemia, inherited metabolic diseases, and traumatic brain injury), demyelinating disorders, and infectious brain lesions. The growing list of disorders for which (1)H MR spectroscopy may contribute to patient management extends to neurodegenerative diseases, epilepsy, and stroke. To facilitate expanded clinical acceptance and standardization of MR spectroscopy methodology, guidelines are provided for data acquisition and analysis, quality assessment, and interpretation. Finally, the authors offer recommendations to expedite the use of robust MR spectroscopy methodology in the clinical setting, including incorporation of technical advances on clinical units.
- Published
- 2014
49. Errors in Quantitative Image Analysis due to Platform-Dependent Image Scaling
- Author
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Chenevert, Thomas L, Malyarenko, Dariya I, Newitt, David, Li, Xin, Jayatilake, Mohan, Tudorica, Alina, Fedorov, Andriy, Kikinis, Ron, Liu, Tiffany Ting, Muzi, Mark, Oborski, Matthew J, Laymon, Charles M, Li, Xia, Thomas, Yankeelov, Jayashree, Kalpathy-Cramer, Mountz, James M, Kinahan, Paul E, Rubin, Daniel L, Fennessy, Fiona, Huang, Wei, Hylton, Nola, and Ross, Brian D
- Subjects
Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Biomedical Imaging ,Bioengineering ,Biochemistry and Cell Biology ,Clinical Sciences ,Oncology & Carcinogenesis ,Biochemistry and cell biology ,Oncology and carcinogenesis - Abstract
PurposeTo evaluate the ability of various software (SW) tools used for quantitative image analysis to properly account for source-specific image scaling employed by magnetic resonance imaging manufacturers.MethodsA series of gadoteridol-doped distilled water solutions (0%, 0.5%, 1%, and 2% volume concentrations) was prepared for manual substitution into one (of three) phantom compartments to create "variable signal," whereas the other two compartments (containing mineral oil and 0.25% gadoteriol) were held unchanged. Pseudodynamic images were acquired over multiple series using four scanners such that the histogram of pixel intensities varied enough to provoke variable image scaling from series to series. Additional diffusion-weighted images were acquired of an ice-water phantom to generate scanner-specific apparent diffusion coefficient (ADC) maps. The resulting pseudodynamic images and ADC maps were analyzed by eight centers of the Quantitative Imaging Network using 16 different SW tools to measure compartment-specific region-of-interest intensity.ResultsImages generated by one of the scanners appeared to have additional intensity scaling that was not accounted for by the majority of tested quantitative image analysis SW tools. Incorrect image scaling leads to intensity measurement bias near 100%, compared to nonscaled images.ConclusionCorrective actions for image scaling are suggested for manufacturers and quantitative imaging community.
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- 2014
50. Image Registration for Quantitative Parametric Response Mapping of Cancer Treatment Response
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Boes, Jennifer L, Hoff, Benjamin A, Hylton, Nola, Pickles, Martin D, Turnbull, Lindsay W, Schott, Anne F, Rehemtulla, Alnawaz, Chamberlain, Ryan, Lemasson, Benjamin, Chenevert, Thomas L, Galbán, Craig J, Meyer, Charles R, and Ross, Brian D
- Subjects
Biomedical and Clinical Sciences ,Clinical Sciences ,Oncology and Carcinogenesis ,Cancer ,Biomedical Imaging ,Breast Cancer ,Detection ,screening and diagnosis ,4.2 Evaluation of markers and technologies ,4.1 Discovery and preclinical testing of markers and technologies ,Biochemistry and Cell Biology ,Oncology & Carcinogenesis ,Biochemistry and cell biology ,Oncology and carcinogenesis - Abstract
Imaging biomarkers capable of early quantification of tumor response to therapy would provide an opportunity to individualize patient care. Image registration of longitudinal scans provides a method of detecting treatment associated changes within heterogeneous tumors by monitoring alterations in the quantitative value of individual voxels over time, which is unattainable by traditional volumetric-based histogram methods. The concepts involved in the use of image registration for tracking and quantifying breast cancer treatment response using parametric response mapping (PRM), a voxel-based analysis of diffusion-weighted magnetic resonance imaging (DW-MRI) scans, are presented. Application of PRM to breast tumor response detection is described, wherein robust registration solutions for tracking small changes in water diffusivity in breast tumors during therapy are required. Methodologies that employ simulations are presented for measuring expected statistical accuracy of PRM for response assessment. Test-retest clinical scans are used to yield estimates of system noise to indicate significant changes in voxel-based changes in water diffusivity. Overall, registration-based PRM image analysis provides significant opportunities for voxel-based image analysis to provide the required accuracy for early assessment of response to treatment in breast cancer patients receiving neoadjuvant chemotherapy.
- Published
- 2014
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