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1.
Automatic dose prediction using deep learning and plan optimization with finite-element control for intensity modulated radiation therapy.
Med Phys
; 51(1): 545-555, 2024 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-37748133
2.
CT-based radiomics nomogram may predict who can benefit from adaptive radiotherapy in patients with local advanced-NSCLC patients.
Radiother Oncol
; 183: 109637, 2023 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-36963440
3.
Adaptive intensity-modulated radiotherapy with simultaneous integrated boost for stage III non-small cell lung cancer: Is a routine adaptation beneficial?
Radiother Oncol
; 158: 118-124, 2021 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-33636232
4.
Radiation-induced lung damage in patients treated with stereotactic body radiotherapy after EGFR-TKIs: is there any difference from stereotactic body radiotherapy alone?
Ann Palliat Med
; 10(3): 2832-2842, 2021 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-33548998
5.
Intermediate Dose-Volume Parameters, Not Low-Dose Bath, Is Superior to Predict Radiation Pneumonitis for Lung Cancer Treated With Intensity-Modulated Radiotherapy.
Front Oncol
; 10: 584756, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-33178612
6.
Excluding PTV from lung volume may better predict radiation pneumonitis for intensity modulated radiation therapy in lung cancer patients.
Radiat Oncol
; 14(1): 7, 2019 Jan 14.
Artículo
en Inglés
| MEDLINE | ID: mdl-30642354
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