Dataset Information

Inverse radiotherapy planning based on bioeffect modelling for locally advanced left-sided breast cancer.

ABSTRACT:

Background and purpose

Treatment planning of radiotherapy (RT) for left-sided breast cancer is a challenging case. Several competing concerns are incorporated at present through protocol-defined dose-volume constraints, e.g. cardiac exposure and target coverage. Such constraints are limited by neglecting patient-specific risk factors (RFs). We propose an alternative RT planning method based solely on bioeffect models to minimize the estimated risks of breast cancer recurrence (BCR) and radiation-induced mortality endpoints considering patient-specific factors.

Methods and materials

Thirty-nine patients with left-sided breast cancer treated with comprehensive post-lumpectomy loco-regional conformal RT were included. An in-house particle swarm optimization (PSO) engine was used to choose fields from a large set of predefined fields and optimize monitor units to minimize the total risk of BCR and mortality caused by radiation-induced ischaemic heart disease (IHD), secondary lung cancer (SLC) and secondary breast cancer (SBC). Risk models included patient age, smoking status and cardiac risk and were developed using published multi-institutional data.

Results

For the clinical plans the normal tissue complication probability, i.e. summed risk of IHD, SLC and SBC, was <3.7% and the risk of BCR was <6.1% for all patients. Median total decrease in mortality or recurrence achieved with individualized PSO plans was 0.4% (range, 0.06-2.0%)/0.5% (range, 0.11-2.2%) without/with risk factors.

Conclusions

Inverse RT plan optimization using bioeffect probability models allows individualization according to patient-specific risk factors. The modelled benefit when compared to clinical plans is, however, modest in most patients, demonstrating that current clinical plans are close to optimal. Larger gains may be achievable with morbidity endpoints rather than mortality.

SUBMITTER: Stick LB

PROVIDER: S-EPMC9462462 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Publications

Inverse radiotherapy planning based on bioeffect modelling for locally advanced left-sided breast cancer.

Stick Line Bjerregaard LB Vogelius Ivan Richter IR Modiri Arezoo A Rice Stephanie Renee SR Maraldo Maja Vestmø MV Sawant Amit A Bentzen Søren M SM

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology 20190403

<h4>Background and purpose</h4>Treatment planning of radiotherapy (RT) for left-sided breast cancer is a challenging case. Several competing concerns are incorporated at present through protocol-defined dose-volume constraints, e.g. cardiac exposure and target coverage. Such constraints are limited by neglecting patient-specific risk factors (RFs). We propose an alternative RT planning method based solely on bioeffect models to minimize the estimated risks of breast cancer recurrence (BCR) and r ...[more]

PMID: 31015135

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Dataset Information

Inverse radiotherapy planning based on bioeffect modelling for locally advanced left-sided breast cancer.

Background and purpose

Methods and materials

Results

Conclusions

Publications

Inverse radiotherapy planning based on bioeffect modelling for locally advanced left-sided breast cancer.

Similar Datasets

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