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Your search keyword '"Xanthopoulos, Eric P."' showing total 16 results
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16 results on '"Xanthopoulos, Eric P."'

1. Five-year Long-term Outcomes of Stereotactic Body Radiation Therapy for Operable Versus Medically Inoperable Stage I Non–small-cell Lung Cancer: Analysis by Operability, Fractionation Regimen, Tumor Size, and Tumor Location

Author

Schonewolf, Caitlin A., Heskel, Marina, Doucette, Abigail, Singhal, Sunil, Frick, Melissa A., Xanthopoulos, Eric P., Corradetti, Michael N., Friedberg, Joseph S., Pechet, Taine T., Christodouleas, John P., Levin, William, Berman, Abigail, Cengel, Keith A., Verma, Vivek, Hahn, Stephen M., Kucharczuk, John C., Rengan, Ramesh, and Simone, Charles B., II

Published
2019
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7. Impact of Discoordinated Care on Healthcare Utilization and Survival in Stage IV Non-Small Cell Lung Cancer Patients

Author

Heilbroner, Samuel P, primary, Xanthopoulos, Eric P, additional, Hoffman, Mark A, additional, Buono, Donna, additional, Durkee, Ben Y, additional, Corradetti, Michael, additional, Wang, Tony JC, additional, Wright, Jason D, additional, Neugut, Alfred I, additional, Hershman, Dawn L, additional, Rohs, Nicholas C, additional, and Cheng, Simon K, additional

Published
2021
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9. Impact of PET Staging in Limited-Stage Small-Cell Lung Cancer

Author

Xanthopoulos, Eric P., Corradetti, Michael N., Mitra, Nandita, Fernandes, Annemarie T., Kim, Miranda, Grover, Surbhi, Christodouleas, John P., Evans, Tracey L., Stevenson, James P., Langer, Corey J., Lee, Tony T., Pryma, Daniel A., Lin, Lilie L., Simone, Charles B., II, Apisarnthanarax, Smith, and Rengan, Ramesh

Published
2013
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11. Impact of estrogen monotherapy on survival in women with stage III-IV non-small cell lung cancer

Author

Heilbroner, Samuel P., primary, Xanthopoulos, Eric P., additional, Buono, Donna, additional, Huang, Yongmei, additional, Carrier, Daniel, additional, Shah, Anand, additional, Kim, Jerry, additional, Corradetti, Michael, additional, Wright, Jason D., additional, Neugut, Alfred I., additional, Hershman, Dawn L., additional, and Cheng, Simon K., additional

Published
2019
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14. (S010) Stereotactic Body Radiotherapy (SBRT) for Operable vs. Medically Inoperable Stage I Non-Small Cell Lung Cancer: Long-Term Five-Year Outcomes and an Assessment by Fractionation Regimen, Tumor Size, and Tumor Location

Author

Schonewolf, Caitlin A., primary, Heskel, Marina, additional, Doucette, Abigail, additional, Singhal, Sunil, additional, Xanthopoulos, Eric P., additional, Corradetti, Michael N., additional, Frick, Melissa, additional, Friedberg, Joseph S., additional, Pechet, Taine T., additional, Christodouleas, John P., additional, Levin, William, additional, Cengel, Kieth A., additional, Berman, Abigail T., additional, Hahn, Stephen M., additional, Kucharczuk, John C., additional, Rengan, Ramesh, additional, and Simone, Charles B., additional

Published
2017
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16. Predicting axillary lymph node metastasis from kinetic statistics of DCE-MRI breast images

Author

Ashraf, Ahmed B., Lin, Lilie, Gavenonis, Sara C., Mies, Carolyn, Xanthopoulos, Eric, and Kontos, Despina

Abstract

The presence of axillary lymph node metastases is the most important prognostic factor in breast cancer and can influence the selection of adjuvant therapy, both chemotherapy and radiotherapy. In this work we present a set of kinetic statistics derived from DCE-MRI for predicting axillary node status. Breast DCE-MRI images from 69 women with known nodal status were analyzed retrospectively under HIPAA and IRB approval. Axillary lymph nodes were positive in 12 patients while 57 patients had no axillary lymph node involvement. Kinetic curves for each pixel were computed and a pixel-wise map of time-to-peak (TTP) was obtained. Pixels were first partitioned according to the similarity of their kinetic behavior, based on TTP values. For every kinetic curve, the following pixel-wise features were computed: peak enhancement (PE), wash-in-slope (WIS), wash-out-slope (WOS). Partition-wise statistics for every feature map were calculated, resulting in a total of 21 kinetic statistic features. ANOVA analysis was done to select features that differ significantly between node positive and node negative women. Using the computed kinetic statistic features a leave-one-out SVM classifier was learned that performs with AUC=0.77 under the ROC curve, outperforming the conventional kinetic measures, including maximum peak enhancement (MPE) and signal enhancement ratio (SER), (AUCs of 0.61 and 0.57 respectively). These findings suggest that our DCE-MRI kinetic statistic features can be used to improve the prediction of axillary node status in breast cancer patients. Such features could ultimately be used as imaging biomarkers to guide personalized treatment choices for women diagnosed with breast cancer.

Published
2012
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