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899 results on '"Ivan, Michael E."'

2. Metabolic signatures derived from whole-brain MR-spectroscopy identify early tumor progression in high-grade gliomas using machine learning

Author

Rivera, Cameron A., Bhatia, Shovan, Morell, Alexis A., Daggubati, Lekhaj C., Merenzon, Martin A., Sheriff, Sulaiman A., Luther, Evan, Chandar, Jay, S. Levy, Adam, Metzler, Ashley R., Berke, Chandler N., Goryawala, Mohammed, Mellon, Eric A., Bhatia, Rita G., Nagornaya, Natalya, Saigal, Gaurav, I de la Fuente, Macarena, Komotar, Ricardo J., Ivan, Michael E., and Shah, Ashish H.

Published
2024
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23. Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks.

Author

Hollon, Todd C, Pandian, Balaji, Adapa, Arjun R, Urias, Esteban, Save, Akshay V, Khalsa, Siri Sahib S, Eichberg, Daniel G, D'Amico, Randy S, Farooq, Zia U, Lewis, Spencer, Petridis, Petros D, Marie, Tamara, Shah, Ashish H, Garton, Hugh JL, Maher, Cormac O, Heth, Jason A, McKean, Erin L, Sullivan, Stephen E, Hervey-Jumper, Shawn L, Patil, Parag G, Thompson, B Gregory, Sagher, Oren, McKhann, Guy M, Komotar, Ricardo J, Ivan, Michael E, Snuderl, Matija, Otten, Marc L, Johnson, Timothy D, Sisti, Michael B, Bruce, Jeffrey N, Muraszko, Karin M, Trautman, Jay, Freudiger, Christian W, Canoll, Peter, Lee, Honglak, Camelo-Piragua, Sandra, and Orringer, Daniel A

Subjects
Humans, Brain Neoplasms, Monitoring, Intraoperative, Spectrum Analysis, Raman, Probability, Algorithms, Computer Systems, Image Processing, Computer-Assisted, Clinical Trials as Topic, Deep Learning, Neural Networks, Computer, Monitoring, Intraoperative, Spectrum Analysis, Raman, Image Processing, Computer-Assisted, Neural Networks, Computer, Medical and Health Sciences, Immunology
Abstract

Intraoperative diagnosis is essential for providing safe and effective care during cancer surgery1. The existing workflow for intraoperative diagnosis based on hematoxylin and eosin staining of processed tissue is time, resource and labor intensive2,3. Moreover, interpretation of intraoperative histologic images is dependent on a contracting, unevenly distributed, pathology workforce4. In the present study, we report a parallel workflow that combines stimulated Raman histology (SRH)5-7, a label-free optical imaging method and deep convolutional neural networks (CNNs) to predict diagnosis at the bedside in near real-time in an automated fashion. Specifically, our CNNs, trained on over 2.5 million SRH images, predict brain tumor diagnosis in the operating room in under 150 s, an order of magnitude faster than conventional techniques (for example, 20-30 min)2. In a multicenter, prospective clinical trial (n = 278), we demonstrated that CNN-based diagnosis of SRH images was noninferior to pathologist-based interpretation of conventional histologic images (overall accuracy, 94.6% versus 93.9%). Our CNNs learned a hierarchy of recognizable histologic feature representations to classify the major histopathologic classes of brain tumors. In addition, we implemented a semantic segmentation method to identify tumor-infiltrated diagnostic regions within SRH images. These results demonstrate how intraoperative cancer diagnosis can be streamlined, creating a complementary pathway for tissue diagnosis that is independent of a traditional pathology laboratory.

Published
2020

40. Human endogenous retrovirus K contributes to a stem cell niche in glioblastoma

Author

Shah, Ashish H., Rivas, Sarah R., Doucet-O'Hare, Tara T., Govindarajan, Vaidya, DeMarino, Catherine, Wang, Tongguang, Ampie, Leonel, Zhang, Yong, Banasavadi-Siddegowda, Yeshavanth Kumar, Walbridge, Stuart, Maric, Dragan, Garcia-Montojo, Marta, Suter, Robert K., Lee, Myoung-Hwa, Zaghloul, Kareem A., Steiner, Joseph, Elkahloun, Abdel G., Chandar, Jay, Seetharam, Deepa, Desgraves, Jelisah, Li, Wenxue, Johnson, Kory, Ivan, Michael E., Komotar, Ricardo J., Gilbert, Mark R., Heiss, John D., and Nath, Avindra

Subjects
Stem cells -- Physiological aspects -- Health aspects, Endogenous retroviruses -- Physiological aspects -- Health aspects, Glioblastoma multiforme -- Development and progression, Health care industry
Abstract

Human endogenous retroviruses (HERVs) are ancestral viral relics that constitute nearly 8% of the human genome. Although normally silenced, the most recently integrated provirus HERV-K (HML-2) can be reactivated in certain cancers. Here, we report pathological expression of HML-2 in malignant gliomas in both cerebrospinal fluid and tumor tissue that was associated with a cancer stem cell phenotype and poor outcomes. Using single-cell RNA-Seq, we identified glioblastoma cellular populations with elevated HML-2 transcripts in neural progenitor-like cells (NPC-like) that drive cellular plasticity. Using CRISPR interference, we demonstrate that HML-2 critically maintained glioblastoma stemness and tumorigenesis in both glioblastoma neurospheres and intracranial orthotopic murine models. Additionally, we demonstrate that HML-2 critically regulated embryonic stem cell programs in NPC-derived astroglia and altered their 3D cellular morphology by activating the nuclear transcription factor OCT4, which binds to an HML-2-specific long- terminal repeat (LTR5Hs). Moreover, we discovered that some glioblastoma cells formed immature retroviral virions, and inhibiting HML-2 expression with antiretroviral drugs reduced reverse transcriptase activity in the extracellular compartment, tumor viability, and pluripotency. Our results suggest that HML-2 fundamentally contributes to the glioblastoma stem cell niche. Because persistence of glioblastoma stem cells is considered responsible for treatment resistance and recurrence, HML-2 may serve as a unique therapeutic target., Introduction Making up approximately 7%-8% of the human genome, human endogenous retroviruses (HERVs) are genomic remnants of exogenous retroviral germline infections (1-3). Because their function was largely elusive, HERVs were [...]

Published
2023
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42. Pathogens and glioma: a history of unexpected discoveries ushering in novel therapy.

Author

Shah, Ashish H, Jusué-Torres, Ignacio, Ivan, Michael E, Komotar, Ricardo J, and Kasahara, Noriyuki

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Infectious Diseases, Emerging Infectious Diseases, Neurosciences, Rare Diseases, Biotechnology, Cancer, Brain Cancer, Brain Disorders, Infection, Good Health and Well Being, Bacterial Infections, Brain Neoplasms, Enterobacter, Enterobacteriaceae Infections, Glioma, History, 19th Century, History, 20th Century, Humans, Immunotherapy, glioma, pathogens, virus, cancer, history, oncology, Clinical Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract

In the late 19th century, Dr. William B. Coley introduced the theory that infections may aid in the treatment of malignancy. With the creation of Coley's toxin, reports of remission during viral illnesses for systemic malignancies soon emerged. A few decades after this initial discovery, Austrian physicians performed intravascular injections of Clostridium to induce oncolysis in patients with glioblastoma. Since then, suggestions between improved survival and infectious processes have been reported in several patients with glioma, which ultimately marshaled the infamous use of intracerebral Enterobacter. These early observations of tumor regression and concomitant infection piloted a burgeoning field focusing on the use of pathogens in molecular oncology.

Published
2018

43. Minimally invasive keyhole approach for supramaximal frontal glioma resections: technical note

Author

Merenzon, Martín A., primary, Mendez Valdez, Mynor J., additional, Chandar, Jay, additional, Lu, Victor M., additional, Marco del Pont, Francisco, additional, Morell, Alexis A., additional, Eichberg, Daniel G., additional, Daggubati, Lekhaj, additional, Benjamin, Carolina G., additional, Shah, Ashish H., additional, Ivan, Michael E., additional, and Komotar, Ricardo J., additional

Published
2024
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45. 1229 Leveraging Machine Learning for Pre-operative Prediction of Supralesional Ablation in Laser Interstitial Thermal Therapy (LITT) for Brain Tumors

Author

Bhatia, Shovan, primary, Merenzon, Martin Andres, additional, Levy, Adam, additional, Rivera, Cameron, additional, Lu, Victor M., additional, Chand Daggubati, Lekhaj, additional, Luther, Evan, additional, Shah, Ashish H., additional, Komotar, Ricardo Jorge, additional, and Ivan, Michael E., additional

Published
2024
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47. 329 Same Day Discharge After Craniotomy for Brain Tumor Resection: Enhancing Patient Selection Through a Prognostic Scoring System

Author

Levy, Adam, primary, Merenzon, Martin Andres, additional, Bhatia, Shovan, additional, Costello, Meredith, additional, Di, Long, additional, Lu, Victor M., additional, Morell, Alexis Andres, additional, Chand Daggubati, Lekhaj, additional, Shah, Ashish H., additional, Komotar, Ricardo Jorge, additional, and Ivan, Michael E., additional

Published
2024
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