SU-E-T-275: Voxelized Second Cancer Risk Calculation - Comparison of Proton and Photon Radiotherapies for Hodgkin Lymphoma

2013 ◽  
Vol 40 (6Part14) ◽  
pp. 267-267
Author(s):  
K Homann ◽  
W Newhauser ◽  
R Howell ◽  
J Eley
Keyword(s):  
Cancer Risk ◽  
Hodgkin Lymphoma ◽  
Second Cancer ◽  
Risk Calculation ◽  
Second Cancer Risk

SU-C-BRB-01: Radiogenic Second Cancer Risk Differences in Female Hodgkin Lymphoma Patients Treated with Proton versus Photon Radiotherapies

2012 ◽  
Vol 39 (6Part2) ◽  
pp. 3601-3601
Author(s):  
K Homann ◽  
R Howell ◽  
A Giebeler ◽  
J Eley ◽  
K Randeniya ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Hodgkin Lymphoma ◽  
Second Cancer ◽  
Second Cancer Risk

scholarly journals Second cancer risk following Hodgkin lymphoma

Oncotarget ◽  
2017 ◽  
Vol 8 (45) ◽  
pp. 78261-78262
Author(s):  
Amit Sud ◽  
Kari Hemminki ◽  
Richard S. Houlston
Keyword(s):  
Cancer Risk ◽  
Hodgkin Lymphoma ◽  
Second Cancer ◽  
Second Cancer Risk

scholarly journals Comparing second cancer risk for multiple radiotherapy modalities in survivors of hodgkin lymphoma

2020 ◽  
pp. 20200354
Author(s):  
Claire Timlin ◽  
James Loken ◽  
Jon Kruse ◽  
Robert Miller ◽  
Uwe Schneider
Keyword(s):  
Radiation Therapy ◽  
Cancer Risk ◽  
Hodgkin Lymphoma ◽  
Treatment Modalities ◽  
Solid Cancer ◽  
Average Risk ◽  
Second Cancer ◽  
Parameter Uncertainties ◽  
Intensity Modulated ◽  
Second Cancer Risk

Objectives: To assess if Excess Absolute Risk (EAR) of radiation-induced solid cancer can be used to rank radiotherapy plans for treatment of Hodgkin Lymphoma (HL) in a statistically significant way. Methods: EAR models, calibrated with data from the Life Span Study and HL survivors, have been incorporated into a voxelised risk-calculation software, which is used to compare four treatment modalities planned for five virtual HL patients. Organ-specific parameters are generated repeatedly in a Monte Carlo fashion to model their uncertainties. This in turn enables a quantitative estimation of the EAR uncertainties. Results: Parameter driven uncertainties on total EAR are around 13%, decreasing to around 2–5% for relative EAR comparisons. Total EAR estimations indicate that Intensity Modulated Proton Therapy decreases the average risk by 40% compared to the Intensity Modulated Radiation Therapy plan, 28% compared to the Volumetric Modulated Arc Therapy plan whereas the 3D Conformal Radiation Therapy plan is equivalent within the uncertainty. Conclusions: Relative EAR is a useful metric for distinguishing between radiotherapy plans in terms of second cancer risk. Advances in knowledge: Relative EAR is not dominated by model or parameter uncertainties and can be used to guide the choice of radiotherapy for HL patients.

Second Cancer Risk 40 Years After Hodgkin Lymphoma Treatment

2012 ◽  
Vol 84 (3) ◽  
pp. S70-S71
Author(s):  
B. Aleman ◽  
M. Schaapveld ◽  
A.M. van Eggermond ◽  
C.P. Janus ◽  
A.D. Krol ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Hodgkin Lymphoma ◽  
Second Cancer ◽  
Lymphoma Treatment ◽  
Second Cancer Risk

Second cancer risk assessments after involved-site radiotherapy for mediastinal Hodgkin lymphoma

2017 ◽  
Vol 44 (7) ◽  
pp. 3866-3874 ◽  
Author(s):  
Michalis Mazonakis ◽  
Efrossyni Lyraraki ◽  
John Damilakis
Keyword(s):  
Cancer Risk ◽  
Hodgkin Lymphoma ◽  
Risk Assessments ◽  
Second Cancer ◽  
Involved Site Radiotherapy ◽  
Second Cancer Risk

Second cancer risk in childhood cancer survivors treated with intensity-modulated radiation therapy (IMRT)

2014 ◽  
Vol 62 (2) ◽  
pp. 311-316 ◽  
Author(s):  
Dana L. Casey ◽  
Danielle N. Friedman ◽  
Chaya S. Moskowitz ◽  
Patrick D. Hilden ◽  
Charles A. Sklar ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Cancer Risk ◽  
Cancer Survivors ◽  
Childhood Cancer ◽  
Intensity Modulated Radiation Therapy ◽  
Childhood Cancer Survivors ◽  
Second Cancer ◽  
Intensity Modulated ◽  
Second Cancer Risk

Second cancer risk after 3D-CRT, IMRT and VMAT for breast cancer

2014 ◽  
Vol 110 (3) ◽  
pp. 471-476 ◽  
Author(s):  
Yasser Abo-Madyan ◽  
Muhammad Hammad Aziz ◽  
Moamen M.O.M. Aly ◽  
Frank Schneider ◽  
Elena Sperk ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Risk ◽  
Second Cancer ◽  
Second Cancer Risk ◽  
3D Crt

scholarly journals Second Cancers After Squamous Cell Carcinoma and Adenocarcinoma of the Cervix

2009 ◽  
Vol 27 (6) ◽  
pp. 967-973 ◽  
Author(s):  
Anil K. Chaturvedi ◽  
Ruth A. Kleinerman ◽  
Allan Hildesheim ◽  
Ethel S. Gilbert ◽  
Hans Storm ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Squamous Cell Carcinoma ◽  
General Population ◽  
Cancer Risk ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Lung Cancer Risk ◽  
Second Cancer ◽  
Second Cancers ◽  
Second Cancer Risk

Purpose Although cervical squamous cell carcinoma (SCC) and adenocarcinoma (AC) are both caused by human papillomavirus (HPV) infection, they differ in cofactors such as cigarette smoking. We assessed whether these cofactor differences translate into differences in second cancer risk. Patients and Methods We assessed second cancer risk among 85,109 cervical SCC and 10,280 AC survivors reported to population-based cancer registries in Denmark, Finland, Norway, Sweden, and the United States. Risks compared to the general population were assessed using standardized incidence ratios (SIR). Results Overall cancer risk was significantly increased among both cervical SCC survivors (n = 10,559 second cancers; SIR, 1.31; 95% CI, 1.29 to 1.34) and AC survivors (n = 920 second cancers; SIR, 1.29; 95% CI, 1.22 to 1.38). Risks of HPV-related and radiation-related cancers were increased to a similar extent among cervical SCC and AC survivors. Although significantly increased in both groups when compared with the general population, risk of smoking-related cancers was significantly higher among cervical SCC than AC survivors (P = .015; SIR for cervical SCC = 2.07 v AC = 1.78). This difference was limited to lung cancer (SIR for cervical SCC = 2.69 v AC = 2.18; P = .026). The increased lung cancer risk among cervical AC survivors was observed for both lung SCC and lung AC. SIRs for second cancers of the colon, soft tissue, melanoma, and non-Hodgkin's lymphoma were significantly higher among cervical AC than SCC survivors. Conclusion The second cancer profiles among cervical SCC and AC survivors mirror the similarities and differences in cofactors for these two histologies. Because smoking is not a cofactor for cervical AC, the increased lung cancer risk suggests a role for additional factors.

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