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Your search keyword '"Aggarwal, Charu"' showing total 11 results
Start Over Author "Aggarwal, Charu" Journal international journal of radiation oncology, biology, physics
11 results on '"Aggarwal, Charu"'

1. Phase 2 Trial of Consolidation Pembrolizumab After Proton Reirradiation for Thoracic Recurrences of Non-Small Cell Lung Cancer

Author

Yegya-Raman, Nikhil, Berman, Abigail T., Ciunci, Christine A., Friedes, Cole, Berlin, Eva, Iocolano, Michelle, Wang, Xingmei, Lai, Ching, Levin, William P., Cengel, Keith A., O'Reilly, Shannon E., Cohen, Roger B., Aggarwal, Charu, Marmarelis, Melina E., Singh, Aditi P., Sun, Lova, Bradley, Jeffrey D., Plastaras, John P., Simone, Charles B., II, Langer, Corey J., and Feigenberg, Steven J.

Published
2024
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2. Patterns of Failure, Low-Volume Relapse, and Subsequent Ablative Management in Locally Advanced Non-Small Cell Lung Cancer Treated With Definitive Chemoradiation and Consolidation Immune Checkpoint Inhibitors

Author

Friedes, Cole, Iocolano, Michelle, Lee, Sang Ho, Li, Bolin, Duan, Lian, Levin, William P., Cengel, Keith A., Sun, Lova L., Aggarwal, Charu, Marmarelis, Melina E., Doucette, Abigail, Cohen, Roger B., Xiao, Ying, Langer, Corey J., Bradley, Jeffrey, Feigenberg, Steven J., and Yegya-Raman, Nikhil

Published
2024
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5. A Phase 2 Trial of Alternative Volumes of Oropharyngeal Irradiation for De-intensification (AVOID): Omission of the Resected Primary Tumor Bed After Transoral Robotic Surgery for Human Papilloma Virus–Related Squamous Cell Carcinoma of the Oropharynx

Author

Swisher-McClure, Samuel, Lukens, John N., Aggarwal, Charu, Ahn, Peter, Basu, Devraj, Bauml, Joshua M., Brody, Robert, Chalian, Ara, Cohen, Roger B., Fotouhi-Ghiam, Alireza, Geiger, Geoffrey, Gershowitz, Jared, Livolsi, Virginia, Mitra, Nandita, Montone, Kathleen, Newman, Jason, Ojerholm, Eric, O’Malley, Bert, Jr., Rajasekaran, Karthik, Tan, Erik, Weinstein, Gregory, and Lin, Alexander

Published
2020
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6. Early Tumor and Nodal Response in Patients with Locally Advanced Non-Small Cell Lung Carcinoma Predict for Oncologic Outcomes in Patients Treated with Concurrent Proton Therapy and Chemotherapy

Author

Grewal, Amardeep S., Min, Eun Jeong, Long, Qi, Grewal, Sharonjit K., Jain, Varsha, Levin, William P., Cengel, Keith A., Swisher-McClure, Samuel, Aggarwal, Charu, Bauml, Joshua M., Singh, Aditi, Ciunci, Christine, Cohen, Roger B., Langer, Corey, Feigenberg, Steven J., and Berman, Abigail T.

Published
2020
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7. Pneumonitis Rates Before and After Adoption of Immunotherapy Consolidation in Patients With Locally Advanced Non-Small Cell Lung Cancer Treated With Concurrent Chemoradiation

Author

Yegya-Raman, Nikhil, Friedes, Cole, Lee, Sang Ho, Iocolano, Michelle, Duan, Lian, Wang, Xingmei, Li, Bolin, Aggarwal, Charu, Cohen, Roger B., Su, William, Doucette, Abigail, Levin, William P., Cengel, Keith A., DiBardino, David, Teo, Boon-Keng Kevin, O'Reilly, Shannon E., Sun, Lova, Bradley, Jeffrey D., Xiao, Ying, Langer, Corey J., and Feigenberg, Steven J.

Published
2024
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8. Prospective Feasibility and Phase 1/2 Trial of Preoperative Proton Beam Therapy With Concurrent Chemotherapy for Resectable Stage IIIA or Superior Sulcus Non-Small Cell Lung Cancer

Author

Simone, Charles B., II, Yegya-Raman, Nikhil, Manjunath, Shwetha, Verma, Vivek, Shabason, Jacob E., Xu, Lee, Cengel, Keith A., Levin, William P., Berman, Abigail T., Christodouleas, John P., Aggarwal, Charu, Cohen, Roger B., Langer, Corey J., Pechet, Taine T., Singhal, Sunil, Kucharczuk, John C., Rengan, Ramesh, and Feigenberg, Steven J.

Published
2023
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10. P33 - Treatment Package Time Impacts Locoregional Control for High Risk pl6+ Oropharyngeal Squamous Cell Carcinoma Treated with Transoral Robotic Surgery (TORS) and Postoperative Radiation

Author

Chao, Hann-Hsiang, Schonewolf, Caitlin, Tan, Erik, Lin, Alexander, Swisher-McClure, Samuel, Ghiam, Alireza Fotouhi, Weinstein, Gregory, O’Malley, Bert, Chalian, Ara, Rassekh, Christopher, Newman, Jason, Cohen, Roger, Bauml, Joshua, Aggarwal, Charu, and Lukens, John

Published
2019
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11. Multiblock Discriminant Analysis of Integrative 18F-FDG-PET/CT Radiomics for Predicting Circulating Tumor Cells in Early-Stage Non-small Cell Lung Cancer Treated With Stereotactic Body Radiation Therapy.

Author

Lee, Sang Ho, Kao, Gary D., Feigenberg, Steven J., Dorsey, Jay F., Frick, Melissa A., Jean-Baptiste, Samuel, Uche, Chibueze Z., Cengel, Keith A., Levin, William P., Berman, Abigail T., Aggarwal, Charu, Fan, Yong, and Xiao, Ying

Subjects
*STEREOTACTIC radiotherapy, *NON-small-cell lung carcinoma, *RADIOMICS, *DISCRIMINANT analysis, *CLINICAL prediction rules, *DATA integration, *LUNG cancer, *NONPARAMETRIC statistics, *ANTHROPOMETRY, *METASTASIS, *LUNG tumors, *PHARMACOKINETICS, *RADIOPHARMACEUTICALS, *RESEARCH funding, *DEOXY sugars, *LONGITUDINAL method
Abstract

Purpose: The main objective of the present study was to integrate 18F-FDG-PET/CT radiomics with multiblock discriminant analysis for predicting circulating tumor cells (CTCs) in early-stage non-small cell lung cancer (ES-NSCLC) treated with stereotactic body radiation therapy (SBRT).Methods: Fifty-six patients with stage I NSCLC treated with SBRT underwent 18F-FDG-PET/CT imaging pre-SBRT and post-SBRT (median, 5 months; range, 3-10 months). CTCs were assessed via a telomerase-based assay before and within 3 months after SBRT and dichotomized at 5 and 1.3 CTCs/mL. Pre-SBRT, post-SBRT, and delta PET/CT radiomics features (n = 1548 × 3/1562 × 3) were extracted from gross tumor volume. Seven feature blocks were constructed including clinical parameters (n = 12). Multiblock data integration was performed using block sparse partial least squares-discriminant analysis (sPLS-DA) referred to as Data Integration Analysis for Biomarker Discovery Using Latent Components (DIABLO) for identifying key signatures by maximizing common information between different feature blocks while discriminating CTC levels. Optimal input blocks were identified using a pairwise combination method. DIABLO performance for predicting pre-SBRT and post-SBRT CTCs was evaluated using combined AUC (area under the curve, averaged across different blocks) analysis with 20 × 5-fold cross-validation (CV) and compared with that of concatenation-based sPLS-DA that consisted of combining all features into 1 block. CV prediction scores between 1 class versus the other were compared using the Wilcoxon rank sum test.Results: For predicting pre-SBRT CTCs, DIABLO achieved the best performance with combined pre-SBRT PET radiomics and clinical feature blocks, showing CV AUC of 0.875 (P = .009). For predicting post-SBRT CTCs, DIABLO achieved the best performance with combined post-SBRT CT and delta CT radiomics feature blocks, showing CV AUCs of 0.883 (P = .001). In contrast, all single-block sPLS-DA models could not attain CV AUCs higher than 0.7.Conclusions: Multiblock integration with discriminant analysis of 18F-FDG-PET/CT radiomics has the potential for predicting pre-SBRT and post-SBRT CTCs. Radiomics and CTC analysis may complement and together help guide the subsequent management of patients with ES-NSCLC. [ABSTRACT FROM AUTHOR]

Published
2021
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