Search Results - "Kann, B.H"

High-Risk HPV-Related Oropharyngeal Cancer Treated With Adjuvant Radiation Therapy Alone Following Surgical Resection by Liu, J.T, Kann, B.H, Vempati, P, Posner, M, Genden, E, Gupta, V, Bakst, R.L

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The Impact of Cobalt-60 Source Age on Biologically Effective Dose in Stereotactic Radiosurgery Thalamotomy by Kann, B.H, Yu, J.B, Bond, J, Loiselle, C, Chiang, V.L, Bindra, R.S, Gerrard, J.L, Carlson, D.J

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Adjuvant Radiation Therapy Patterns and Survival Implications for Medulloblastoma in Young Children by Kann, B.H, Park, H.S.M, Lester-Coll, N.H, Yeboa, D.N, Benitez, V, Bindra, R.S, Khan, A.J, Marks, A.M, Roberts, K.B

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Addition of Chemotherapy to Adjuvant Radiation Therapy is Associated With Improved Overall Survival in Adult Medulloblastoma by Kann, B.H, Lester-Coll, N.H, Park, H.S.M, Yeboa, D.N, Bindra, R.S, Becker, K.P, Baehring, J, Roberts, K.B

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Prognostic Value of Radiographic Extracapsular Extension in Locally Advanced Head and Neck Squamous Cell Cancers by Liu, J.T, Kann, B.H, De, B, Buckstein, M, Bakst, R.L, Genden, E.M, Posner, M.R, Som, P.M, Gupta, V

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Is Radiographic Extracapsular Extension Prognostic in Human Papillomavirus–Related Oropharyngeal Cancers? by Liu, J.T, Kann, B.H, De, B, Buckstein, M, Bakst, R.L, Genden, E.M, Posner, M.R, Som, P.M, Gupta, V

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Dysphagia and Dose Reduction to Dysphagia/Aspiration-Related Structures (DARS) in Patients Receiving Induction Chemotherapy (IC) Followed by Concurrent Chemoradiation Therapy (CCRT) for Locally-Advanced Squamous Cell Carcinoma of the Head and Neck (LASCCHN) by Kann, B.H, Carpenter, T.J, Todorov, B, Golchin, A, Bakst, R, Misiukiewicz, K, Posner, M, Gupta, V

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Analysis of Artificial Intelligence-Based Automated Phenotyping of Coronary Artery Disease Diagnoses for Patients who Received Radiotherapy for Thoracic Malignancies by He, J., Curran, S., Guthier, C.V., Atkins, K.M., Fitzgerald, K.J., Bitterman, D.S., Kann, B.H., Kozono, D.E., Mak, R.H.

“…Coronary artery disease (CAD) is a critical risk factor and toxicity endpoint in thoracic radiation oncology. The recent advent of artificial intelligence (AI)…”
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Deep Learning Based Facial Age Phenotyping in a Large-Scale, Real-World Cancer Patient Population by Lee, G., Haugg, F., Bontempi, D., He, J., Zalay, O., Bitterman, D.S., Catalano, P.J., Prudente, V., Pai, S., Guthier, C.V., Kann, B.H., Aerts, H., Mak, R.H.

“…Humans age at different rates and a person's facial characteristics may yield insight into their biological age and physiological health. Our prior study…”
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Deep Learning Based Estimation of Facial Age for Prognostication in Patients with Early-Stage Non-Small Cell Lung Cancer Undergoing Definitive Stereotactic Body Radiotherapy by Lee, G., Haugg, F., Bontempi, D., He, J., Bitterman, D.S., Pai, S., Guthier, C.V., Fitzgerald, K.J., Kozono, D.E., Kann, B.H., Aerts, H., Mak, R.H.

“…Patients who undergo definitive stereotactic body radiotherapy (SBRT) for early-stage non-small cell lung cancer (NSCLC), in lieu of surgery, are often elderly…”
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Applying Deep Learning Based Facial Age Phenotyping to Improve Life Expectancy Prediction in Metastatic Cancer Patients Receiving Palliative Radiotherapy by Lee, G., Haugg, F., Bontempi, D., Bitterman, D.S., Pai, S., Guthier, C.V., Chen, Y.H., Hertan, L.M., Balboni, T.A., Kann, B.H., Aerts, H., Krishnan, M.S., Mak, R.H.

“…Prognostic tools such as the TEACHH model (risk scoring based on cancer type, ECOG PS, age, prior palliative chemotherapy, hospitalization, and hepatic…”
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Risk of Radiation Pneumonitis in Patients Receiving Osimertinib and Thoracic Radiotherapy by Banla, L.I., Baillieul, J., Fitzgerald, K.J., Poitras, H., Rotow, J., Singer, L., Kozono, D.E., Janne, P., Mak, R.H., Kann, B.H.

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Development and Validation of a Deep Learning System with Tumor- and Patient-Centric Imaging Analysis to Improve Risk-Stratification in Oropharyngeal Cancer by Ye, Z., Ravipati, Y., Hoebers, F., Zapaishchykova, A., Zha, Y., Tak, D., Mahootiha, M., Pardo, J.C., Guthier, C.V., Tishler, R.B., Margalit, D.N., Haddad, R.I., Schoenfeld, J.D., Mak, R.H., Aerts, H., Kann, B.H.

“…Oropharyngeal cancer (OPC) outcomes are heterogeneous, though management remains driven by stage of disease. Improved biomarkers may guide treatment approach…”
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Radiosurgery for Brain Metastases: Practice Patterns and Disparities in the United States by Kann, B.H., Park, H.S.M., Chiang, V.L., Yu, J.B.

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MGMT Promoter Methylation is a Poor Predictor of Gene Expression in Low Grade Gliomas by Mo, A., Kann, B.H., Gao, S., Bindra, R.S.

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Deep Learning for Automated Outcome Prediction in Oropharyngeal Cancer from Tumor and Lymph Node Imaging Data by Ye, Z., Likitlersuang, J., Zeng, J., Plana, D., Mak, R.H., Aerts, H., Haibe-Kains, B., Margalit, D.N., Schoenfeld, J.D., Tishler, R.B., Kann, B.H.

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Association of Skeletal Muscle Area with Toxicity and Treatment Tolerance in Patients Receiving Chemoradiation for Advanced Lung Cancer by Saraf, A., Shin, K.Y., He, J., Weiss, J., Qian, J.M., Perni, S., Chen, Y.H., Catalano, P.J., Bitterman, D.S., Kann, B.H., Awad, M.M., Christiani, D., Aerts, H., Mak, R.H.

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Widening the Therapeutic Window for Central and Ultra-Central Thoracic Oligometastatic Disease with Stereotactic MR-Guided Adaptive Radiation Therapy (SMART) by Lee, G., Han, Z., Huynh, E., Cagney, D.N., Huynh, M.A., Kann, B.H., Kozono, D.E., Leeman, J.E., Singer, L., Williams, C.L., Mak, R.H.

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Deep Neural Networks for Radiographic Risk Stratification of Gliomas by Gao, S., Kann, B.H., Bindra, R.S., Contessa, J.N., Yu, J.B., Aneja, S.

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External Validation and Radiologist Comparison of a Deep Learning Model (DLM) to Identify Extranodal Extension (ENE) in Head and Neck Squamous Cell Carcinoma (HNSCC) with Pretreatment Computed Tomography (CT) Imaging by Kann, B.H., Hicks, D.F., Payabvash, S., Mahajan, A., Gupta, V., Burtness, B., Husain, Z.A., Aneja, S.

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