Advantages of simulating thoracic cancer patients in an upright position

2014 ◽  
Vol 4 (1) ◽  
pp. e53-e58 ◽  
Author(s):  
Jinzhong Yang ◽  
David Chu ◽  
Lei Dong ◽  
Laurence E. Court
Keyword(s):  
Cancer Patients ◽  
Upright Position ◽  
Thoracic Cancer

SU-E-J-154: Advantages of Treating Thoracic Cancer Patients in an Upright Position

2012 ◽  
Vol 39 (6Part8) ◽  
pp. 3688-3688
Author(s):  
J Yang ◽  
L Dong ◽  
L Court
Keyword(s):  
Cancer Patients ◽  
Upright Position ◽  
Thoracic Cancer

Thoracic cancer patients and Covid-19: experience from a portuguese tertiary care unit

2021 ◽  
Author(s):  
Raquel Viana ◽  
Daniel Coutinho ◽  
Eloísa Silva ◽  
Sérgio Campainha ◽  
Margarida Dias ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Tertiary Care ◽  
Thoracic Cancer

131 Preferred place of care in thoracic cancer patients within the palliative care service covering South Ribble, Preston and Chorley

Lung Cancer ◽  
2014 ◽  
Vol 83 ◽  
pp. S47-S48
Author(s):  
R. Knight ◽  
A.G. Sutherland ◽  
E. Shereston ◽  
A. Parr ◽  
L. Forman ◽  
...  
Keyword(s):  
Palliative Care ◽  
Cancer Patients ◽  
Care Service ◽  
Palliative Care Service ◽  
Thoracic Cancer

scholarly journals Advantages of upright position imaging with medium-energy collimator for sentinel node lymphoscintigraphy in breast cancer patients

2007 ◽  
Vol 21 (2) ◽  
pp. 123-128 ◽  
Author(s):  
Hiroyuki Tsushima ◽  
Teruhiko Takayama ◽  
Hiroto Kizu ◽  
Takashi Yamanaga ◽  
Yoshihiro Shimonishi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Sentinel Node ◽  
Cancer Patients ◽  
Upright Position ◽  
Breast Cancer Patients ◽  
Medium Energy

Pacemaker Dose Reference Guide for Thoracic Cancer Patients Treated with HDR Brachytherapy

2014 ◽  
Vol 45 (2) ◽  
pp. 181-182
Author(s):  
Shannon Lawes ◽  
Emilia Timotin ◽  
Rob Hunter ◽  
Tom Farrell
Keyword(s):  
Cancer Patients ◽  
Hdr Brachytherapy ◽  
Reference Guide ◽  
Thoracic Cancer

scholarly journals A novel nomogram containing acute radiation esophagitis predicting radiation pneumonitis in thoracic cancer receiving radiotherapy

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wenjie Tang ◽  
Xiaolin Li ◽  
Haining Yu ◽  
Xiaoyang Yin ◽  
Bing Zou ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Cancer Patients ◽  
Predictive Value ◽  
Univariate Analysis ◽  
Clinical Work ◽  
Acute Radiation ◽  
Ipsilateral Lung ◽  
Thoracic Radiation ◽  
Thoracic Cancer ◽  
Radiation Induced

Abstract Background Radiation-induced pneumonitis (RP) is a non-negligible and sometimes life-threatening complication among patients with thoracic radiation. We initially aimed to ascertain the predictive value of acute radiation-induced esophagitis (SARE, grade ≥ 2) to symptomatic RP (SRP, grade ≥ 2) among thoracic cancer patients receiving radiotherapy. Based on that, we established a novel nomogram model to provide individualized risk assessment for SRP. Methods Thoracic cancer patients who were treated with thoracic radiation from Jan 2018 to Jan 2019 in Shandong Cancer Hospital and Institute were enrolled prospectively. All patients were followed up during and after radiotherapy (RT) to observe the development of esophagitis as well as pneumonitis. Variables were analyzed by univariate and multivariate analysis using the logistic regression model, and a nomogram model was established to predict SRP by “R” version 3.6.0. Results A total of 123 patients were enrolled (64 esophageal cancer, 57 lung cancer and 2 mediastinal cancer) in this study prospectively. RP grades of 0, 1, 2, 3, 4 and 5 occurred in 29, 57, 31, 0, 3 and 3 patients, respectively. SRP appeared in 37 patients (30.1%). In univariate analysis, SARE was shown to be a significant predictive factor for SRP (P < 0.001), with the sensitivity 91.9% and the negative predictive value 93.5%. The incidence of SRP in different grades of ARE were as follows: Grade 0–1: 6.5%; Grade 2: 36.9%; Grade 3: 80.0%; Grade 4: 100%. Besides that, the dosimetric factors considering total lung mean dose, total lung V5, V20, ipsilateral lung mean dose, ipsilateral lung V5, and mean esophagus dose were correlated with SRP (all P < 0.05) by univariate analysis. The incidence of SRP was significantly higher in patients whose symptoms of RP appeared early. SARE, mean esophagus dose and ipsilateral mean lung dose were still significant in multivariate analysis, and they were included to build a predictive nomogram model for SRP. Conclusions As an early index that can reflect the tissue’s radiosensitivity visually, SARE can be used as a predictor for SRP in patients receiving thoracic radiation. And the nomogram containing SARE may be fully applied in future’s clinical work.

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