Общедоступные статьи - Pradnya PatilПодробнее...
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A combination of intra-and peritumoral features on baseline CT scans is associated with overall survival in non-small cell lung cancer patients treated with immune checkpoint …
M Khorrami, M Alilou, P Prasanna, P Patil, P Velu, K Bera, P Fu, ...
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 191-199, 2019
Финансирование: US Department of Defense, US National Institutes of Health
16 статей доступны в некоторых источниках
Changes in CT radiomic features associated with lymphocyte distribution predict overall survival and response to immunotherapy in non–small cell lung cancer
M Khorrami, P Prasanna, A Gupta, P Patil, PD Velu, R Thawani, ...
Cancer immunology research 8 (1), 108-119, 2020
Финансирование: US Department of Defense, US National Institutes of Health, US Department of …
CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective …
P Vaidya, K Bera, A Gupta, X Wang, G Corredor, P Fu, N Beig, ...
The Lancet Digital Health 2 (3), e116-e128, 2020
Финансирование: US Department of Defense, US National Institutes of Health, US Department of …
Combination of peri-and intratumoral radiomic features on baseline CT scans predicts response to chemotherapy in lung adenocarcinoma
M Khorrami, M Khunger, A Zagouras, P Patil, R Thawani, K Bera, P Rajiah, ...
Radiology: Artificial Intelligence 1 (2), 180012, 2019
Финансирование: US Department of Defense, US National Institutes of Health
Novel, non-invasive imaging approach to identify patients with advanced non-small cell lung cancer at risk of hyperprogressive disease with immune checkpoint blockade
P Vaidya, K Bera, PD Patil, A Gupta, P Jain, M Alilou, M Khorrami, ...
Journal for Immunotherapy of Cancer 8 (2), 2020
Финансирование: US Department of Defense, US National Institutes of Health, US Department of …
Comutations and KRASG12C Inhibitor Efficacy in Advanced NSCLC
MV Negrao, HA Araujo, G Lamberti, AJ Cooper, NS Akhave, T Zhou, ...
Cancer discovery 13 (7), 1556-1571, 2023
Финансирование: US National Institutes of Health, V Foundation, USA
Predicting pathologic response to neoadjuvant chemoradiation in resectable stage III non-small cell lung cancer patients using computed tomography radiomic features
M Khorrami, P Jain, K Bera, M Alilou, R Thawani, P Patil, U Ahmad, ...
Lung Cancer 135, 1-9, 2019
Финансирование: US Department of Defense, US National Institutes of Health, US Department of …
Novel imaging biomarkers predict outcomes in stage III unresectable non-small cell lung cancer treated with chemoradiation and durvalumab
K Jazieh, M Khorrami, A Saad, M Gad, A Gupta, P Patil, VS Viswanathan, ...
Journal for Immunotherapy of Cancer 10 (3), 2022
Финансирование: US Department of Defense, US National Institutes of Health, US Department of …
Stable and discriminating radiomic predictor of recurrence in early stage non-small cell lung cancer: Multi-site study
M Khorrami, K Bera, P Leo, P Vaidya, P Patil, R Thawani, P Velu, P Rajiah, ...
Lung Cancer 142, 90-97, 2020
Финансирование: US Department of Defense, US National Institutes of Health, US Department of …
RaPtomics: integrating radiomic and pathomic features for predicting recurrence in early stage lung cancer
P Vaidya, X Wang, K Bera, A Khunger, H Choi, P Patil, V Velcheti, ...
Medical Imaging 2018: Digital Pathology 10581, 172-182, 2018
Финансирование: US Department of Defense, US National Institutes of Health
Impact of KRAS mutation status on the efficacy of immunotherapy in lung cancer brain metastases
A Lauko, R Kotecha, A Barnett, H Li, V Tatineni, A Ali, P Patil, ...
Scientific Reports 11 (1), 18174, 2021
Финансирование: US National Institutes of Health
A tumor vasculature–based imaging biomarker for predicting response and survival in patients with lung cancer treated with checkpoint inhibitors
M Alilou, M Khorrami, P Prasanna, K Bera, A Gupta, VS Viswanathan, ...
Science Advances 8 (47), eabq4609, 2022
Финансирование: US Department of Defense, US National Institutes of Health, US Department of …
Prediction of future imagery of lung nodule as growth modeling with follow-up computed tomography scans using deep learning: a retrospective cohort study
G Tao, L Zhu, Q Chen, L Yin, Y Li, J Yang, B Ni, Z Zhang, CW Koo, ...
Translational Lung Cancer Research 11 (2), 250, 2022
Финансирование: National Natural Science Foundation of China
Neutrophil to lymphocyte ratio influences impact of steroids on efficacy of immune checkpoint inhibitors in lung cancer brain metastases
A Lauko, B Thapa, M Sharma, B Muhsen, A Barnett, Y Rauf, ...
Scientific reports 11 (1), 7490, 2021
Финансирование: US National Institutes of Health
Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival
M Alilou, P Vaidya, M Khorrami, A Zagouras, P Patil, K Bera, P Fu, ...
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 365-372, 2019
Финансирование: US Department of Defense, US National Institutes of Health
1230 Novel imaging-based radiomics distinguishes radiation and immunotherapy induced pneumonitis in locally advanced NSCLC
L Delasos, M Khorrami, V Viswanathan, N Pennell, A Madabhushi, P Patil
Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023
Финансирование: US Department of Defense, US National Institutes of Health, US Department of …
LINC00892 Is an lncRNA Induced by T Cell Activation and Expressed by Follicular Lymphoma-Resident T Helper Cells. Non-Coding RNA 2022, 8, 40
I Iaccarino, F Mourtada, S Reinke, P Patil, G Doose, G Monaco, ...
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022
Финансирование: German Research Foundation
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