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Your search keyword '"Ivan, Michael E."' showing total 559 results
Start Over Author "Ivan, Michael E." Publication Type Academic Journals
559 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

39. 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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41. 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

49. Stemness, invasion, and immunosuppression modulation in recurrent glioblastoma using nanotherapy.

Author

Sarkar, Shrita, Greer, Jessica, Marlowe, Nathaniel J., Medvid, Angeline, Ivan, Michael E., Kolishetti, Nagesh, and Dhar, Shanta

Abstract

The recurrent nature of glioblastoma negatively impacts conventional treatment strategies leading to a growing need for nanomedicine. Nanotherapeutics, an approach designed to deliver drugs to specific sites, is experiencing rapid growth and gaining immense popularity. Having potential in reaching the hard‐to‐reach disease sites, this field has the potential to show high efficacy in combatting glioblastoma progression. The presence of glioblastoma stem cells (GSCs) is a major factor behind the poor prognosis of glioblastoma multiforme (GBM). Stemness potential, heterogeneity, and self‐renewal capacity, are some of the properties that make GSCs invade across the distant regions of the brain. Despite advances in medical technology and MRI‐guided maximal surgical resection, not all GSCs residing in the brain can be removed, leading to recurrent disease. The aggressiveness of GBM is often correlated with immune suppression, where the T‐cells are unable to infiltrate the cancer initiating GSCs. Standard of care therapies, including surgery and chemotherapy in combination with radiation therapy, have failed to tackle all the challenges of the GSCs, making it increasingly important for researchers to develop strategies to tackle their growth and proliferation and reduce the recurrence of GBM. Here, we will focus on the advancements in the field of nanomedicine that has the potential to show positive impact in managing glioblastoma tumor microenvironment. This article is categorized under:Therapeutic Approaches and Drug Discovery > Nanomedicine for Oncologic Disease [ABSTRACT FROM AUTHOR]

Published
2024
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50. Is endoscopic resection a useful technique for a cavernous sinus sellar cavernoma? A case report and literature review.

Author

Rubino, Franco, Eichberg, Daniel G., Shah, Ashish H., Luther, Evan M., Lu, Victor M., Saad, Ali G., Komotar, Ricardo J., and Ivan, Michael E.

Subjects
CAVERNOUS sinus, LITERATURE reviews, ENDOSCOPIC surgery, CAVERNOUS hemangioma, SURGICAL complications, SURGICAL excision
Abstract

Cavernous sinus cavernous malformations (CSCMs) is a vascular malformation of the cavernous sinus. Nowadays, there is an increasing preference to withhold using the terms cavernoma or cavernous hemangioma in order to stop considering these lesions as vascular neoplasms. These lesions are highly vascularized making surgical resection a challenge, mainly in endoscopic approaches. We present a case of this tumor treated in our institution with an endoscopic endonasal approach and incomplete resection. Because of the strenuous resection through this approach, we systematically reviewed the reported endoscopic cases of CSCMs to determine their intraoperative complications, results and tumor features. Using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, one database (PubMed) and crossed references were queried for CSCMs from 1948 to 2020. Data regarding demographic features, clinical presentation, MRI features, surgical results and overall pathology features extracted. Eighteen patients were selected (including our case). The mean age was 50.4 ± 14 years. Pituitary dysfunction and cavernous sinus nerve compression were the most reported symptoms. Only five cases (27%) reported a gross total resection (GTR) through endoscopic endonasal approach. Intraoperative bleeding was the most frequent intraoperative complication. We present a comprehensive analysis of every reported CSCM treated through endoscopic approach. Partial or subtotal resection are the most used techniques because of the intraoperative bleeding and the adherence to surrounding structures. Radiotherapy is a very good option for patients with incomplete resections. [ABSTRACT FROM AUTHOR]

Published
2024
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