Chromosomal radiosensitivity of human breast carcinoma cells and blood lymphocytes following photon and proton exposures
Radiat Environ Biophys. 2023 Mar;62(1):151-160. doi: 10.1007/s00411-023-01016-5. Epub 2023 Feb 10.ABSTRACTBreast carcinomas (BC) are among the most frequent cancers in women. Studies on radiosensitivity and ionizing radiation response of BC cells are scarce and mainly focused on intrinsic molecular mechanisms but do not include clinically relevant features as chromosomal rearrangements important for radiotherapy. The main purpose of this study was to compare the ionizing radiation response and efficiency of repair mechanisms of human breast carcinoma cells (Cal 51) and peripheral blood lymphocytes (PBL) for different doses...
Source: Radiation and Environmental Biophysics - February 10, 2023 Category: Physics Authors: Agata Kowalska Elena Nasonova Polina Kutsalo Konrad Czerski Source Type: research
Chromosomal radiosensitivity of human breast carcinoma cells and blood lymphocytes following photon and proton exposures
Radiat Environ Biophys. 2023 Mar;62(1):151-160. doi: 10.1007/s00411-023-01016-5. Epub 2023 Feb 10.ABSTRACTBreast carcinomas (BC) are among the most frequent cancers in women. Studies on radiosensitivity and ionizing radiation response of BC cells are scarce and mainly focused on intrinsic molecular mechanisms but do not include clinically relevant features as chromosomal rearrangements important for radiotherapy. The main purpose of this study was to compare the ionizing radiation response and efficiency of repair mechanisms of human breast carcinoma cells (Cal 51) and peripheral blood lymphocytes (PBL) for different doses...
Source: Radiation and Environmental Biophysics - February 10, 2023 Category: Physics Authors: Agata Kowalska Elena Nasonova Polina Kutsalo Konrad Czerski Source Type: research
Chromosomal radiosensitivity of human breast carcinoma cells and blood lymphocytes following photon and proton exposures
Radiat Environ Biophys. 2023 Mar;62(1):151-160. doi: 10.1007/s00411-023-01016-5. Epub 2023 Feb 10.ABSTRACTBreast carcinomas (BC) are among the most frequent cancers in women. Studies on radiosensitivity and ionizing radiation response of BC cells are scarce and mainly focused on intrinsic molecular mechanisms but do not include clinically relevant features as chromosomal rearrangements important for radiotherapy. The main purpose of this study was to compare the ionizing radiation response and efficiency of repair mechanisms of human breast carcinoma cells (Cal 51) and peripheral blood lymphocytes (PBL) for different doses...
Source: Radiation and Environmental Biophysics - February 10, 2023 Category: Physics Authors: Agata Kowalska Elena Nasonova Polina Kutsalo Konrad Czerski Source Type: research
Effect of lymphoid volume irradiation on radiation-induced lymphopenia in head and neck cancers
CONCLUSION: High-risk radiotherapy was significantly associated with nadir lymphocyte count in patients with head and neck cancer treated with radiation. Sparing lymphoid volumes from irradiation by elective nodal irradiation or proton therapy may limit lymphopenia and needs to be investigated in combination with immunotherapy.PMID:36759240 | DOI:10.1016/j.canrad.2022.08.008 (Source: Cancer Radiotherapie)
Source: Cancer Radiotherapie - February 9, 2023 Category: Cancer & Oncology Authors: M C ésaire A Rambeau F Cherifi B G éry A Johnson M Nacher J Thariat Source Type: research
Effect of lymphoid volume irradiation on radiation-induced lymphopenia in head and neck cancers
CONCLUSION: High-risk radiotherapy was significantly associated with nadir lymphocyte count in patients with head and neck cancer treated with radiation. Sparing lymphoid volumes from irradiation by elective nodal irradiation or proton therapy may limit lymphopenia and needs to be investigated in combination with immunotherapy.PMID:36759240 | DOI:10.1016/j.canrad.2022.08.008 (Source: Cancer Radiotherapie)
Source: Cancer Radiotherapie - February 9, 2023 Category: Cancer & Oncology Authors: M C ésaire A Rambeau F Cherifi B G éry A Johnson M Nacher J Thariat Source Type: research
Effect of lymphoid volume irradiation on radiation-induced lymphopenia in head and neck cancers
CONCLUSION: High-risk radiotherapy was significantly associated with nadir lymphocyte count in patients with head and neck cancer treated with radiation. Sparing lymphoid volumes from irradiation by elective nodal irradiation or proton therapy may limit lymphopenia and needs to be investigated in combination with immunotherapy.PMID:36759240 | DOI:10.1016/j.canrad.2022.08.008 (Source: Cancer Radiotherapie)
Source: Cancer Radiotherapie - February 9, 2023 Category: Cancer & Oncology Authors: M C ésaire A Rambeau F Cherifi B G éry A Johnson M Nacher J Thariat Source Type: research
Adaptive Proton Therapy for Pediatric Parameningeal Rhabdomyosarcoma: On-Treatment Anatomic Changes and Timing to Replanning
To characterize on-treatment changes in GTV morphology in children with parameningeal rhabdomyosarcoma receiving upfront proton therapy with concurrent chemotherapy and thereby provide guidance on the timing of on-treatment imaging and adaptive replanning. (Source: Clinical Oncology)
Source: Clinical Oncology - February 8, 2023 Category: Radiology Authors: J. Uh, J.A. Jordan, A.S. Pappo, M.J. Krasin, C. Hua Tags: Original Article Source Type: research
Adaptive Proton Therapy for Paediatric Parameningeal Rhabdomyosarcoma: On-treatment Anatomic Changes and Timing to Replanning
To characterise on-treatment changes in gross tumour volume (GTV) morphology in children with parameningeal rhabdomyosarcoma receiving upfront proton therapy with concurrent chemotherapy and thereby provide guidance on the timing of on-treatment imaging and adaptive replanning. (Source: Clinical Oncology)
Source: Clinical Oncology - February 8, 2023 Category: Radiology Authors: J. Uh, J.A. Jordan, A.S. Pappo, M.J. Krasin, C.-h. Hua Tags: Original Article Source Type: research
Spot delivery error predictions for intensity modulated proton therapy using robustness analysis with machine learning
J Appl Clin Med Phys. 2023 Feb 7:e13911. doi: 10.1002/acm2.13911. Online ahead of print.ABSTRACTThe purpose of this work is to assess the robustness of treatment plans when spot delivery errors were predicted with a machine learning (ML) model for intensity modulated proton therapy (IMPT). Over 6000 machine log files from delivered IMPT treatment plans were included in this study. From these log files, over 4.1 × $ \times \ $ 106 delivered proton spots were used to train the ML model. The presented model was tested and used to predict the spot position as well as the monitor units (MU) per spot, based on the original p...
Source: Journal of Applied Clinical Medical Physics - February 7, 2023 Category: Physics Authors: Mark A Newpower Bing-Hao Chiang Salahuddin Ahmad Yong Chen Source Type: research
Spot delivery error predictions for intensity modulated proton therapy using robustness analysis with machine learning
J Appl Clin Med Phys. 2023 Feb 7:e13911. doi: 10.1002/acm2.13911. Online ahead of print.ABSTRACTThe purpose of this work is to assess the robustness of treatment plans when spot delivery errors were predicted with a machine learning (ML) model for intensity modulated proton therapy (IMPT). Over 6000 machine log files from delivered IMPT treatment plans were included in this study. From these log files, over 4.1 × $ \times \ $ 106 delivered proton spots were used to train the ML model. The presented model was tested and used to predict the spot position as well as the monitor units (MU) per spot, based on the original p...
Source: Health Physics - February 7, 2023 Category: Physics Authors: Mark A Newpower Bing-Hao Chiang Salahuddin Ahmad Yong Chen Source Type: research
Spot delivery error predictions for intensity modulated proton therapy using robustness analysis with machine learning
J Appl Clin Med Phys. 2023 Feb 7:e13911. doi: 10.1002/acm2.13911. Online ahead of print.ABSTRACTThe purpose of this work is to assess the robustness of treatment plans when spot delivery errors were predicted with a machine learning (ML) model for intensity modulated proton therapy (IMPT). Over 6000 machine log files from delivered IMPT treatment plans were included in this study. From these log files, over 4.1 × $ \times \ $ 106 delivered proton spots were used to train the ML model. The presented model was tested and used to predict the spot position as well as the monitor units (MU) per spot, based on the original p...
Source: Journal of Applied Clinical Medical Physics - February 7, 2023 Category: Physics Authors: Mark A Newpower Bing-Hao Chiang Salahuddin Ahmad Yong Chen Source Type: research
Spot delivery error predictions for intensity modulated proton therapy using robustness analysis with machine learning
J Appl Clin Med Phys. 2023 Feb 7:e13911. doi: 10.1002/acm2.13911. Online ahead of print.ABSTRACTThe purpose of this work is to assess the robustness of treatment plans when spot delivery errors were predicted with a machine learning (ML) model for intensity modulated proton therapy (IMPT). Over 6000 machine log files from delivered IMPT treatment plans were included in this study. From these log files, over 4.1 × $ \times \ $ 106 delivered proton spots were used to train the ML model. The presented model was tested and used to predict the spot position as well as the monitor units (MU) per spot, based on the original p...
Source: Health Physics - February 7, 2023 Category: Physics Authors: Mark A Newpower Bing-Hao Chiang Salahuddin Ahmad Yong Chen Source Type: research
Spot delivery error predictions for intensity modulated proton therapy using robustness analysis with machine learning
J Appl Clin Med Phys. 2023 Feb 7:e13911. doi: 10.1002/acm2.13911. Online ahead of print.ABSTRACTThe purpose of this work is to assess the robustness of treatment plans when spot delivery errors were predicted with a machine learning (ML) model for intensity modulated proton therapy (IMPT). Over 6000 machine log files from delivered IMPT treatment plans were included in this study. From these log files, over 4.1 × $ \times \ $ 106 delivered proton spots were used to train the ML model. The presented model was tested and used to predict the spot position as well as the monitor units (MU) per spot, based on the original p...
Source: Journal of Applied Clinical Medical Physics - February 7, 2023 Category: Physics Authors: Mark A Newpower Bing-Hao Chiang Salahuddin Ahmad Yong Chen Source Type: research
Spot delivery error predictions for intensity modulated proton therapy using robustness analysis with machine learning
J Appl Clin Med Phys. 2023 Feb 7:e13911. doi: 10.1002/acm2.13911. Online ahead of print.ABSTRACTThe purpose of this work is to assess the robustness of treatment plans when spot delivery errors were predicted with a machine learning (ML) model for intensity modulated proton therapy (IMPT). Over 6000 machine log files from delivered IMPT treatment plans were included in this study. From these log files, over 4.1 × $ \times \ $ 106 delivered proton spots were used to train the ML model. The presented model was tested and used to predict the spot position as well as the monitor units (MU) per spot, based on the original p...
Source: Journal of Applied Clinical Medical Physics - February 7, 2023 Category: Physics Authors: Mark A Newpower Bing-Hao Chiang Salahuddin Ahmad Yong Chen Source Type: research
Definitive intensity modulated proton re-irradiation for lung cancer in the immunotherapy era
We report our institutional experience with definitive intent re-irradiation using Intensity Modulated Proton Therapy (IMPT).METHOD: Retrospective cohort study of recurrent or second primary NSCLC or LS-SCLC treated with IMPT. Kaplan-Meier method and log-rank test were used for time-to-event analyses.RESULTS: 22 patients were treated from 2019 to 2021. After first course of radiation (median 60 Gy, range 45-70 Gy), 45% received adjuvant immunotherapy. IMPT re-irradiation began a median of 28.2 months (8.8-172.9 months) after initial radiotherapy. The median IMPT dose was 60 GyE (44-60 GyE). 36% received concurrent chemothe...
Source: Cancer Control - February 3, 2023 Category: Cancer & Oncology Authors: James R Janopaul-Naylor Yichun Cao Neal S McCall Jeffrey M Switchenko Sibo Tian Haijian Chen William A Stokes Aparna H Kesarwala Mark W McDonald Joseph W Shelton Jeffrey D Bradley Kristin A Higgins Source Type: research
