Search Results - "Colen, Rivka R."

Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data by Sheller, Micah J., Edwards, Brandon, Reina, G. Anthony, Martin, Jason, Pati, Sarthak, Kotrotsou, Aikaterini, Milchenko, Mikhail, Xu, Weilin, Marcus, Daniel, Colen, Rivka R., Bakas, Spyridon

“…Several studies underscore the potential of deep learning in identifying complex patterns, leading to diagnostic and prognostic biomarkers. Identifying…”
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Multicenter study demonstrates radiomic features derived from magnetic resonance perfusion images identify pseudoprogression in glioblastoma by Elshafeey, Nabil, Kotrotsou, Aikaterini, Hassan, Ahmed, Elshafei, Nancy, Hassan, Islam, Ahmed, Sara, Abrol, Srishti, Agarwal, Anand, El Salek, Kamel, Bergamaschi, Samuel, Acharya, Jay, Moron, Fanny E., Law, Meng, Fuller, Gregory N., Huse, Jason T., Zinn, Pascal O., Colen, Rivka R.

“…Pseudoprogression (PsP) is a diagnostic clinical dilemma in cancer. In this study, we retrospectively analyse glioblastoma patients, and using their dynamic…”
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Imaging of Liver Tumors Using Surface-Enhanced Raman Scattering Nanoparticles by Andreou, Chrysafis, Neuschmelting, Volker, Tschaharganeh, Darjus-Felix, Huang, Chun-Hao, Oseledchyk, Anton, Iacono, Pasquale, Karabeber, Hazem, Colen, Rivka R, Mannelli, Lorenzo, Lowe, Scott W, Kircher, Moritz F

“…Complete surgical resection is the ideal first-line treatment for most liver malignancies. This goal would be facilitated by an intraoperative imaging method…”
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Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes in Glioblastoma Multiforme by Zinn, Pascal O., Majadan, Bhanu, Sathyan, Pratheesh, Singh, Sanjay K., Majumder, Sadhan, Jolesz, Ferenc A., Colen, Rivka R.

“…Despite recent discoveries of new molecular targets and pathways, the search for an effective therapy for Glioblastoma Multiforme (GBM) continues. A newly…”
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A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models by Zinn, Pascal O, Singh, Sanjay K, Kotrotsou, Aikaterini, Hassan, Islam, Thomas, Ginu, Luedi, Markus M, Elakkad, Ahmed, Elshafeey, Nabil, Idris, Tagwa, Mosley, Jennifer, Gumin, Joy, Fuller, Gregory N, de Groot, John F, Baladandayuthapani, Veera, Sulman, Erik P, Kumar, Ashok J, Sawaya, Raymond, Lang, Frederick F, Piwnica-Worms, David, Colen, Rivka R

“…Radiomics is the extraction of multidimensional imaging features, which when correlated with genomics, is termed radiogenomics. However, radiogenomic…”
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Neurosurgical applications of MRI guided laser interstitial thermal therapy (LITT) by Salem, Usama, Kumar, Vinodh A., Madewell, John E., Schomer, Donald F., de Almeida Bastos, Dhiego Chaves, Zinn, Pascal O., Weinberg, Jeffrey S., Rao, Ganesh, Prabhu, Sujit S., Colen, Rivka R.

“…MRI-guided laser interstitial thermal therapy (LITT) is the selective ablation of a lesion or a tissue using heat emitted from a laser device. LITT is…”
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MRI-Based Radiomics and Radiogenomics in the Management of Low-Grade Gliomas: Evaluating the Evidence for a Paradigm Shift by Habib, Ahmed, Jovanovich, Nicolina, Hoppe, Meagan, Ak, Murat, Mamindla, Priyadarshini, R. Colen, Rivka, Zinn, Pascal O.

“…Low-grade gliomas (LGGs) are tumors that affect mostly adults. These neoplasms are comprised mainly of oligodendrogliomas and diffuse astrocytomas. LGGs remain…”
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Extracellular vesicle PD-L1 dynamics predict durable response to immune-checkpoint inhibitors and survival in patients with non-small cell lung cancer by de Miguel-Perez, Diego, Russo, Alessandro, Arrieta, Oscar, Ak, Murat, Barron, Feliciano, Gunasekaran, Muthukumar, Mamindla, Priyadarshini, Lara-Mejia, Luis, Peterson, Christine B., Er, Mehmet E., Peddagangireddy, Vishal, Buemi, Francesco, Cooper, Brandon, Manca, Paolo, Lapidus, Rena G., Hsia, Ru-Ching, Cardona, Andres F., Naing, Aung, Kaushal, Sunjay, Hirsch, Fred R., Mack, Philip C., Serrano, Maria Jose, Adamo, Vincenzo, Colen, Rivka R., Rolfo, Christian

“…Background Immune-checkpoint inhibitors (ICIs) changed the therapeutic landscape of patients with lung cancer. However, only a subset of them derived clinical…”
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Radiomics to predict immunotherapy-induced pneumonitis: proof of concept by Colen, Rivka R., Fujii, Takeo, Bilen, Mehmet Asim, Kotrotsou, Aikaterini, Abrol, Srishti, Hess, Kenneth R., Hajjar, Joud, Suarez-Almazor, Maria E., Alshawa, Anas, Hong, David S., Giniebra-Camejo, Dunia, Stephen, Bettzy, Subbiah, Vivek, Sheshadri, Ajay, Mendoza, Tito, Fu, Siqing, Sharma, Padmanee, Meric-Bernstam, Funda, Naing, Aung

“…Summary We present the first reported work that explores the potential of radiomics to predict patients who are at risk for developing immunotherapy-induced…”
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Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma by Kanas, Vasileios G., Zacharaki, Evangelia I., Thomas, Ginu A., Zinn, Pascal O., Megalooikonomou, Vasileios, Colen, Rivka R.

“…•A noninvasive and reliable surrogate method of determining MGMT status could serve to complement brain tumor biopsy or as an alternative in those patients who…”
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Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements by Villanueva-Meyer, Javier E, Bakas, Spyridon, Tiwari, Pallavi, Lupo, Janine M, Calabrese, Evan, Davatzikos, Christos, Bi, Wenya Linda, Ismail, Marwa, Akbari, Hamed, Lohmann, Philipp, Booth, Thomas C, Wiestler, Benedikt, Aerts, Hugo J W L, Rasool, Ghulam, Tonn, Joerg C, Nowosielski, Martha, Jain, Rajan, Colen, Rivka R, Pati, Sarthak, Baid, Ujjwal, Vollmuth, Philipp, Macdonald, David, Vogelbaum, Michael A, Chang, Susan M, Huang, Raymond Y, Galldiks, Norbert

“…The development, application, and benchmarking of artificial intelligence (AI) tools to improve diagnosis, prognostication, and therapy in neuro-oncology are…”
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Predicting Survival Duration With MRI Radiomics of Brain Metastases From Non-small Cell Lung Cancer by Chen, Bihong T., Jin, Taihao, Ye, Ningrong, Mambetsariev, Isa, Wang, Tao, Wong, Chi Wah, Chen, Zikuan, Rockne, Russell C., Colen, Rivka R., Holodny, Andrei I., Sampath, Sagus, Salgia, Ravi

“…Background: Brain metastases are associated with poor survival. Molecular genetic testing informs on targeted therapy and survival. The purpose of this study…”
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Glioblastoma-infiltrated innate immune cells resemble M0 macrophage phenotype by Gabrusiewicz, Konrad, Rodriguez, Benjamin, Wei, Jun, Hashimoto, Yuuri, Healy, Luke M., Maiti, Sourindra N., Thomas, Ginu, Zhou, Shouhao, Wang, Qianghu, Elakkad, Ahmed, Liebelt, Brandon D., Yaghi, Nasser K., Ezhilarasan, Ravesanker, Huang, Neal, Weinberg, Jeffrey S., Prabhu, Sujit S., Rao, Ganesh, Sawaya, Raymond, Langford, Lauren A., Bruner, Janet M., Fuller, Gregory N., Bar-Or, Amit, Li, Wei, Colen, Rivka R., Curran, Michael A., Bhat, Krishna P., Antel, Jack P., Cooper, Laurence J., Sulman, Erik P., Heimberger, Amy B.

“…Glioblastomas are highly infiltrated by diverse immune cells, including microglia, macrophages, and myeloid-derived suppressor cells (MDSCs). Understanding the…”
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Multicenter imaging outcomes study of The Cancer Genome Atlas glioblastoma patient cohort: imaging predictors of overall and progression-free survival by Wangaryattawanich, Pattana, Hatami, Masumeh, Wang, Jixin, Thomas, Ginu, Flanders, Adam, Kirby, Justin, Wintermark, Max, Huang, Erich S, Bakhtiari, Ali Shojaee, Luedi, Markus M, Hashmi, Syed S, Rubin, Daniel L, Chen, James Y, Hwang, Scott N, Freymann, John, Holder, Chad A, Zinn, Pascal O, Colen, Rivka R

“…Despite an aggressive therapeutic approach, the prognosis for most patients with glioblastoma (GBM) remains poor. The aim of this study was to determine the…”
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Validation of a multiomic model of plasma extracellular vesicle PD-L1 and radiomics for prediction of response to immunotherapy in NSCLC by de Miguel‑Perez, Diego, Ak, Murat, Mamindla, Priyadarshini, Russo, Alessandro, Zenkin, Serafettin, Ak, Nursima, Peddagangireddy, Vishal, Lara‑Mejia, Luis, Gunasekaran, Muthukumar, Cardona, Andres F., Naing, Aung, Hirsch, Fred R., Arrieta, Oscar, Colen, Rivka R., Rolfo, Christian

“…Background Immune-checkpoint inhibitors (ICIs) have showed unprecedent efficacy in the treatment of patients with advanced non-small cell lung cancer (NSCLC)…”
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Differentiating Peripherally-Located Small Cell Lung Cancer From Non-small Cell Lung Cancer Using a CT Radiomic Approach by Chen, Bihong T., Chen, Zikuan, Ye, Ningrong, Mambetsariev, Isa, Fricke, Jeremy, Daniel, Ebenezer, Wang, George, Wong, Chi Wah, Rockne, Russell C., Colen, Rivka R., Nasser, Mohd W., Batra, Surinder K., Holodny, Andrei I., Sampath, Sagus, Salgia, Ravi

“…Lung cancer can be classified into two main categories: small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC), which are different in treatment…”
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Dexamethasone-mediated oncogenicity in vitro and in an animal model of glioblastoma by Luedi, Markus M, Singh, Sanjay K, Mosley, Jennifer C, Hassan, Islam S A, Hatami, Masumeh, Gumin, Joy, Andereggen, Lukas, Sulman, Erik P, Lang, Frederick F, Stueber, Frank, Fuller, Gregory N, Colen, Rivka R, Zinn, Pascal O

“…OBJECTIVEDexamethasone, a known regulator of mesenchymal programming in glioblastoma (GBM), is routinely used to manage edema in GBM patients. Dexamethasone…”
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A Novel Volume-Age-KPS (VAK) Glioblastoma Classification Identifies a Prognostic Cognate microRNA-Gene Signature by Zinn, Pascal O., Sathyan, Pratheesh, Mahajan, Bhanu, Bruyere, John, Hegi, Monika, Majumder, Sadhan, Colen, Rivka R.

“…Several studies have established Glioblastoma Multiforme (GBM) prognostic and predictive models based on age and Karnofsky Performance Status (KPS), while very…”
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Extent of resection and radiotherapy in GBM: A 1973 to 2007 surveillance, epidemiology and end results analysis of 21,783 patients by ZINN, PASCAL O, COLEN, RIVKA R, KASPER, EKKEHARD M, BURKHARDT, JAN-KARL

“…Surgery, radiation and chemotherapy are the standard of care for GBM patients, however, the impact of extent of resection (EOR) and radiotherapy (RT) on…”
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Quality assurance assessment of diagnostic and radiation therapy-simulation CT image registration for head and neck radiation therapy: anatomic region of interest-based comparison of rigid and deformable algorithms by Mohamed, Abdallah S R, Ruangskul, Manee-Naad, Awan, Musaddiq J, Baron, Charles A, Kalpathy-Cramer, Jayashree, Castillo, Richard, Castillo, Edward, Guerrero, Thomas M, Kocak-Uzel, Esengul, Yang, Jinzhong, Court, Laurence E, Kantor, Michael E, Gunn, G Brandon, Colen, Rivka R, Frank, Steven J, Garden, Adam S, Rosenthal, David I, Fuller, Clifton D

“…To develop a quality assurance (QA) workflow by using a robust, curated, manually segmented anatomic region-of-interest (ROI) library as a benchmark for…”
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