Search Results - "Elhalawani, H."

Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration by Wentzel, A., Hanula, P., Luciani, T., Elgohari, B., Elhalawani, H., Canahuate, G., Vock, D., Fuller, C.D., Marai, G.E.

“…We describe a visual computing approach to radiation therapy (RT) planning, based on spatial similarity within a patient cohort. In radiotherapy for head and…”
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Doublet BRAF/MEK inhibition versus single-agent BRAF inhibition in the management of BRAF-mutant advanced melanoma, biological rationale and meta-analysis of published data by Abdel-Rahman, O., ElHalawani, H., Ahmed, H.

“…Back ground We executed a comparative systematic review and meta-analysis of the efficacy and toxicity of doublet BRAF/MEK inhibition versus single-agent BRAF…”
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CD8 infiltration is associated with disease control and tobacco exposure in intermediate-risk oropharyngeal cancer by Kemnade, J. O., Elhalawani, H., Castro, P., Yu, J., Lai, S., Ittmann, M., Mohamed, A. S. R., Lai, S. Y., Fuller, C. D., Sikora, A. G., Sandulache, V. C.

“…Oropharyngeal squamous cell carcinoma (OPSCC) incidence is increasing at a nearly epidemic rate, largely driven by the human papillomavirus (HPV). Despite the…”
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A spatial neighborhood methodology for computing and analyzing lymph node carcinoma similarity in precision medicine by Luciani, T., Wentzel, A., Elgohari, B., Elhalawani, H., Mohamed, A., Canahuate, G., Vock, D.M., Fuller, C.D., Marai, G.E.

“…[Display omitted] •Precision medicine tailors therapy to a specific patient, using similar patient data.•In many cancer types, treatment and toxicity depend on…”
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RM-041Risk of selected gastrointestinal toxicities in cancer patients treated with Pazopanib: a systematic review and meta-analysis by Abdallah, L, Abdel-Rahman, O, Elhalawani, H, Heiba, M

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Evaluating Oropharyngeal Cancer Patients’ Outcomes Across Different Treatment Modalities by Naithani, R., Elgohari, B., Elhalawani, H., Mohamed, A.S., Fuller, C.D.

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132P Risk of selected gastrointestinal toxicities in cancer patients treated with MEK inhibitors; a comparative systematic review and Meta-analysis by Elhalawani, H., Abdel-Rahman, O.M.

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A Genomic Score to Predict Local Control among Patients with Brain Metastases Managed with Radiation by Lamba, N., Cagney, D.N., Catalano, P.J., Kim, D., Elhalawani, H., Haas-Kogan, D.A., Wen, P.Y., Wagle, N., Aizer, A.A.

“…Clinical predictors of local recurrence following radiation among patients with brain metastases (BrM) provide limited explanatory power. As a result,…”
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Three Decade Single-Institution Experience of Safety and Efficacy of Radiotherapy and Adjuvant Chemotherapy for Young Adult Patients with Medulloblastoma by Elhalawani, H., Chao, S.T., Suh, J.H., Song, A.J., Zahler, S., Peereboom, D., Ahluwalia, M., Stevens, G., Patel, N., Murphy, E.S.

“…The rarity of medulloblastoma in the adult population limits information on optimal treatment and clinical outcomes. Adjuvant chemoradiation has been…”
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Genomic Predictors of Leptomeningeal Disease Development among Patients with Brain Metastases by Lamba, N., Cagney, D.N., Catalano, P.J., Elhalawani, H., Haas-Kogan, D.A., Wen, P.Y., Wagle, N., Aizer, A.A.

“…Leptomeningeal disease (LMD) is associated with significant neurologic symptomatology, functional decline, and generally, a very poor prognosis. Clinical…”
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Patterns Of Care And Outcomes Analysis For Adult Patients With Newly Diagnosed Medulloblastoma: A 30-Year Single Institution Experience by Elhalawani, H., Chao, S.T., Suh, J.H., Song, A.J., Peereboom, D., Ahluwalia, M., Stevens, G., Murphy, E.S.

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Stability Analysis of CT Radiomics Features With Respect to the Variation of Manual Segmentation in Oropharyngeal Cancer by Liu, R., Elhalawani, H., Fuller, C.D., Zhu, H.

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High Center Average Case Volume Associated With Improved Survival for Patients With Hepatocellular Carcinoma by Holliday, E.B., Allen, P.K., Elhalawani, H., Abdel-Rahman, O.

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Outcomes and Prognostic Factors for Patients with Stage III Hepatocellular Carcinoma by Holliday, E.B., Elhalawani, H., Allen, P.K., Abdel-Rahman, O.

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PO-1171 Two-stage CT-based radiomic signature to predict the efficacy of immunotherapy by Yang, P., Chen, J., Elhalawani, H., Jin, Y., Liu, J., Mohamed, A., Jin, H., Shi, Y., Wang, H., Wang, J.

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P-140 Risk of selected gastrointestinal complications in patients with solid tumors treated with immune checkpoint inhibitors; a Meta analysis by Abdel-Rahman, O., Elhalawani, H., Fouad, M.

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A Predictive model of radiation-related fibrosis based on radiomic features of Magnetic Resonance Imaging by Wang, J., Yang, P., Zhao, Y., Elhalawani, H., Liu, R., Zhu, H., Mohamed, A.S., Fuller, C.D., Zhu, H.

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Correlating Toxicity Outcomes with Spatial Patterns of Lymph Node Metastasis for Oropharyngeal Cancer Patients by Elgohari, B., Luciani, T., Elhalawani, H., Mohamed, A.S., Canahuate, G., Vock, D., Fuller, C.D., Marai, G.E.

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Lessons derived from A Prospective In-Silico Quality Assurance Study of Contouring Target Volumes within a Cooperative Group Setting: Insights from Radiation Oncologists’ Perspective by Elhalawani, H., Laurie, F., Ulin, K., Kachnic, L.A., Fuller, C.D., Thomas, C.R.

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Two-Stage CT-Based Radiomic Signature to Predict the Efficacy of Immunotherapy by Yang, P., Cheng, J., Elhalawani, H., Jin, Y., Liu, J., Mohamed, A.S., Jin, H., Yang, N., Shi, Y., Wang, H., Wang, J.

“…Immunotherapy is not effective for all patients, and its prediction method still needs further research and improvement. We try to use Radiomics to predict…”
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