Three-dimensional heart dose reconstruction to estimate normal tissue complication probability after breast irradiation using portal dosimetry

2007 ◽  
Vol 34 (4) ◽  
pp. 1354-1363 ◽  
Author(s):  
R. J. W. Louwe ◽  
M. Wendling ◽  
M. B. van Herk ◽  
B. J. Mijnheer
Keyword(s):  
Normal Tissue ◽  
Three Dimensional ◽  
Normal Tissue Complication Probability ◽  
Breast Irradiation ◽  
Dose Reconstruction ◽  
Heart Dose ◽  
Portal Dosimetry

scholarly journals Mean heart dose-based normal tissue complication probability model for pericardial effusion

2021 ◽  
Author(s):  
Junichi Fukada ◽  
Kyohei Fukata ◽  
Naoyoshi Koike ◽  
Ryuichi Kota ◽  
Naoyuki Shigematsu
Keyword(s):  
Pericardial Effusion ◽  
Normal Tissue ◽  
Probability Model ◽  
Area Under The Curve ◽  
Multivariate Regression Analysis ◽  
Normal Tissue Complication Probability ◽  
Heart Dose ◽  
Dose Volume ◽  
Auc Value ◽  
Mean Heart Dose

Abstract We investigated the normal tissue complication probability (NTCP) of the incidence of pericardial effusion (PCE) based on the mean heart dose (MHD). We reviewed medical records of oesophageal cancer patients treated with definitive chemoradiotherapy. Incidences of PCE in any grade (A-PCE) and symptomatic PCE (S-PCE) were evaluated separately. To identify significant predictors for PCE, clinical and dose-volume parameters were analysed using a receiver operating characteristic (ROC) curve and multivariate regression analysis. The generated NTCP model was compared to the Lyman–Kutcher–Burman (LKB) model to validate its clinical applicability. Among 229 eligible patients, A-PCE and S-PCE were observed in 100 (43.7%) and 18 (7.9%) patients, respectively. MHD showed a preferable area under the curve (AUC) value for S-PCE (AUC = 0.821) and A-PCE (AUC = 0.734). MHD was the only significant predictor for A-PCE; MHD and hypertension were selected as significant factors for S-PCE. The estimated NTCP, using the MHD-based model, showed excellent correspondence to the LKB model in A-PCE and S-PCE. The NTCP curve of A-PCE was gentler than that of S-PCE and had no threshold. The MHD-based NTCP model was simple but comparable to the LKB model for both A-PCE and S-PCE. Estimated NTCP may provide clinically useful parameters for predicting PCE.

scholarly journals Mean heart dose-based normal tissue complication probability model for pericardial effusion: a study in oesophageal cancer patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Junichi Fukada ◽  
Kyohei Fukata ◽  
Naoyoshi Koike ◽  
Ryuichi Kota ◽  
Naoyuki Shigematsu
Keyword(s):  
Pericardial Effusion ◽  
Oesophageal Cancer ◽  
Normal Tissue ◽  
Probability Model ◽  
Area Under The Curve ◽  
Multivariate Regression Analysis ◽  
Normal Tissue Complication Probability ◽  
Heart Dose ◽  
Dose Volume ◽  
Mean Heart Dose

AbstractWe investigated the normal tissue complication probability (NTCP) of the incidence of pericardial effusion (PCE) based on the mean heart dose (MHD) in patients with oesophageal cancer treated with definitive chemoradiotherapy. The incidences of PCE in any grade (A-PCE) and symptomatic PCE (S-PCE) were evaluated separately. To identify predictors for PCE, several clinical and dose-volume parameters were analysed using a receiver operating characteristic (ROC) curve and multivariate regression analysis. To validate its clinical applicability, the generated NTCP model was compared to the Lyman–Kutcher–Burman (LKB) model. Among 229 eligible patients, A-PCE and S-PCE were observed in 100 (43.7%) and 18 (7.9%) patients, respectively. MHD showed a preferable area under the curve (AUC) value for S-PCE (AUC = 0.821) and A-PCE (AUC = 0.734). MHD was the only significant predictor for A-PCE; MHD and hypertension were selected as significant factors for S-PCE. The estimated NTCP, using the MHD-based model, showed excellent correspondence to the LKB model in A-PCE and S-PCE. The NTCP curve of A-PCE was gentler than that of S-PCE and had no threshold. The MHD-based NTCP model was simple but comparable to the LKB model for both A-PCE and S-PCE. Therefore, the estimated NTCP may provide clinically useful parameters for predicting PCE.

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