Copenhagen, Denmark
Onsite/Online

ESTRO 2022

Session Item

Monday
May 09
10:30 - 11:30
Mini-Oral Theatre 2
20: Breast
Nienke Hoekstra, The Netherlands;
Wilfried Budach, Germany
3260
Mini-Oral
Clinical
External Validation of NTCP-models for Acute Coronary Events after Breast Cancer Radiotherapy
Anne Crijns, The Netherlands
MO-0803

Abstract

External Validation of NTCP-models for Acute Coronary Events after Breast Cancer Radiotherapy
Authors:

Daan Spoor1, Floor van Leeuwen2, Nicola Russell3, Naomi Boekel2, Sophie Jacob4, Stephanie Combs5, Kai Borm5, Rozemarijn Vliegenthart6, Gert Sikkema7, Marianna Sijtsema1, Arjen van der Schaaf8, John Maduro1, Hans Langendijk1, Ewoud Schuit9, Anne Crijns1

1University Medical Center Groningen, University of Groningen, Radiation Oncology, Groningen, The Netherlands; 2Netherlands Cancer Institute, Psychological Research and Epidemiology, Amsterdam, The Netherlands; 3Netherlands Cancer Institute, Radiation Oncology, Amsterdam, The Netherlands; 4Institute for Radiation Protection and Nuclear Safety, Epidemiology, Fontenay Aux Roses, France; 5Technical University of Munich, School of Medicine, Radiation Oncology, Munich, Germany; 6University Medical Center Groningen, University of Groningen, Radiology, Groningen, The Netherlands; 7University Medical Center Groningen, University of Groningen, radiation Oncology, Groningen, The Netherlands; 8University Medical Center Groningen, University of Groningen, Radiation ONcology, Groningen, The Netherlands; 9Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Healthcare Innovation Center , Utrecht, The Netherlands

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Purpose or Objective

Radiotherapy (RT) for breast cancer (BC) may put survivors at increased risk of acute coronary events (ACE). NTCP-models for ACE can be used to identify BC patients at high risk to optimize primary and/or secondary prevention strategies. As part of the MEDIRAD-BRACE study (H2020-Euratom-1.4 / 755523) we developed two NTCP-models for ACE in 4,305 BC patients treated with adjuvant RT from 2005 to 2015. Both models performed equally well but differed regarding the DVH parameters included (table 1). Model 1 included patient characteristics combined with the left ventricle V5 and the whole heart Dmean, and Model 2 included the whole heart and right ventricle D1 and left ventricle V6 as DVH parameters. The aim of the current study was to externally validate both models in a multi-centre cohort of BC patients. 

Material and Methods

The validation cohort consisted of 1,520 BC patients from 3 other centres treated with adjuvant radiotherapy in the same period. After application of both models to the patients included in the validation cohort, model performance was assessed by discrimination in terms of a c-statistic and calibration in terms of calibration plots and the observed/expected ratio. If needed, models were updated. 

Results

Mean follow up was 7.6 years and the cumulative ACE incidence at 10 years was 1.7% for the validation cohort. This cumulative ACE incidence at 10 years was significantly lower than observed in the development set (4.8%). Model performance after external validation was similar for both models (table 2). External validation showed good discrimination: c-statistic 0.72 (0.61-0.83) and 0.71 (0.60-0.82) for model 1 and 2, respectively. There was an overestimation of the ACE risk by a factor 2 in the validation cohort. But after recalibration (adjustment of the mean linear predictor and baseline risk, but same coefficients) the  prediction models performed well in the validation cohort.

Conclusion

We externally validated two models based on different cardiac DVH parameters for ACE risk in the first 10 years after radiotherapy. We prefer the model including whole heart Dmean and left ventricle V5 as these DVH-parameters are more suitable to apply in dose optimization strategies.