Marie-Andrée Fortin

Online stochastic optimization of radiotherapy patient scheduling

The effective management of a cancer treatment facility for radiation therapy depends mainly on optimizing the use of the linear accelerators. In this project, we schedule patients on these machines taking into account their priority for treatment, the maximum waiting time before the first treatment, and the treatment duration. We collaborate with the Centre Intégré de Cancérologie de Laval to determine the best scheduling policy. Furthermore, we integrate the uncertainty related to the arrival of patients at the center. We develop a hybrid method combining stochastic optimization and online optimization to better meet the needs of central planning. We use information on the future arrivals of patients to provide an accurate picture of the expected utilization of resources. Results based on real data show that our method outperforms the policies typically used in treatment centers.

Combined Hypofractionated Radiation and Hormone Therapy for the Treatment of Intermediate-Risk Prostate Cancer

PURPOSE Because of the low alpha/beta value of prostate cancer, a therapeutic gain may be possible with a hypofractionated radiation scheme, and this gain may be further increased with the adjunct of hormone therapy. A Phase II study was undertaken to study the toxicity of such a treatment. METHODS AND MATERIALS Forty-two patients with intermediate-risk prostate cancer were recruited for this study. Neoadjuvant and concomitant hormone therapy consisted of one injection of leuprolide acetate (4-month preparation) and 1 month of oral nonsteroidal, anti-androgen medication starting on the day of the injection. Radiation treatment was started 8 weeks after the injection and patients received 57 Gy in 19 fractions. RESULTS Median follow-up was 46 months. The treatment was well tolerated and no interruptions occurred. The majority (59%) had Grade 0 or 1 acute genitourinary (GU) toxicity, whereas 36% had Grade 2 and 5% had Grade 3 acute GU toxicity. Only Grade 1 or 2 gastrointestinal toxicity was seen. All chronic toxicity was of Grade 1 or 2 except for 3 patients (8%) with Grade 3 toxicity. Sixty-eight percent (68%) of patients had no long-term side effects from the treatment. At time of analysis, 79% showed no sign of treatment failure. CONCLUSIONS Hypofractionated radiation with neoadjuvant and concomitant hormone therapy is well tolerated with no significant short- or long-term morbidity. Control for this risk group is good, and comparative Phase III studies should be undertaken to determine whether this treatment is superior to new evolving treatments.

Stochastic optimization of the scheduling of a radiotherapy center

Cancer treatment facilities can improve their efficiency for radiation therapy by optimizing the utilization of the linear accelerators (linacs). We propose a method to schedule patients on such machines taking into account their priority for treatment, the maximum waiting time before the first treatment, the treatment duration, and the preparation of this treatment (dosimetry). At each arrival of a patient, the future workloads of the linacs and the dosimetry are inferred. We propose a genetic algorithm, which schedules future tasks in dosimetry and a constraint programming formulation to verify the feasibility of a planning of dosimetry. This approach ensures the beginning of the treatment on time and thus avoids the cancellation of treatment sessions on linacs. Preliminary results indicate the improvements of this new procedure.

A cancer care electronic medical record highly integrated into clinicians' workflow: users' attitudes pre‐post implementation

&NA; The purpose was to study users’ attitudes towards an electronic medical record (EMR) closely integrated into the clinicians’ cancer care workflow. The EMR, implemented in an ambulatory cancer care centre, was designed as a care pathway information system providing real‐time support to the coordination of shared care processes involving all the care personnel. Mixed method pre‐post study design was used. The study population consisted of all care personnel. A survey measured the quality attributes of the EMR, the clinical information it produces, the perceived usefulness of the system for supporting clinical data management tasks and the perceived impacts in terms of access and quality of care. The survey shows that users’ attitudes towards the EMR (response rate of 71%) measured after the go‐live were positive ranging from 3.42 to 3.95 on a 5‐point scale. Besides, the content analysis of 33 pre‐post interviews revealed five main themes: magnitude of the changes caused by the EMR; its innovative potential; its positive benefits; an ongoing growth in users’ expectancies; and the burden associated with the time required to operate the EMR. In sum, the study shows that users can largely apply innovative uses of information technologies that automate their clinical processes.