Alexander Monro Ziekenhuis

This project aims to model an optimal scanning environment for breast magnetic resonance imaging (MRI) screening based on real-life data to identify to what extent the logistics of breast MRI can be optimized. A novel concept for a breast MRI screening facility was developed considering layout of the building, workflow steps, used resources, and MRI protocols. The envisioned screening facility is person centered and aims for an efficient workflow-oriented design. Real-life data, collected from existing breast MRI screening workflows, during 62 scans in 3 different hospitals, were imported into a 3D simulation software for designing and testing new concepts. The model provided several realistic, virtual, logistical pathways for MRI screening and their outcome measures: throughput, waiting times, and other relevant variables. The total average appointment time in the baseline scenario was 25:54 minutes, with 19:06 minutes of MRI room occupation. Simulated improvements consisted of optimizing processes and resources, facility layout, and scanning protocol. In the simulation, time spent in the MRI room was reduced by introducing an optimized facility layout, dockable tables, and adoption of an abbreviated MRI scanning protocol. The total average appointment time was reduced to 19:36 minutes, and in this scenario, the MRI room was occupied for 06:21 minutes. In the most promising scenario, screening of about 68 people per day (10 hours) on a single MRI scanner could be feasible, compared with 36 people per day in the baseline scenario. This study suggests that by optimizing workflow MRI for breast screening total appointment duration and MRI occupation can be reduced. A throughput of up to 6 people per hour may be achieved, compared with 3 people per hour in the current setup.

Oncoplastic reconstructive surgery as an extension of breast-conserving surgery leads to better aesthetic results, an increase in tumor-free margins, and a reduction in reexcision rates. Oncologic resection is often more extensive than expected, sometimes resulting in the plastic surgeon deviating from the predetermined plan. For optimal planning of the reconstruction, it is mandatory to estimate volume defects after lumpectomy as accurately as possible. The authors aimed to identify preoperative predictors of lumpectomy resection size. All consecutive patients diagnosed with invasive breast carcinoma or carcinoma in situ and treated primarily with breast-conserving surgery between 2018 and 2020 at the University Medical Center Utrecht or Alexander Monro Hospital were included. Patient and tumor characteristics were measured. Data were analyzed in a multiple linear regression analysis. A total of 410 patients (423 cases) were included, with a median age of 58 years (range, 32 to 84 years) and a mean body mass index (BMI) of 25.0 (SD 9.3). The mean maximum radiologic tumor diameter was 18.0 mm (SD 13.2), and the mean maximum lumpectomy diameter was 58.8 mm (SD 19.2). Multiple linear regression analysis found an explained variance of R 2 = 0.60 ( P < 0.00), corrected for operating surgeon. Significant predictors for postoperative lumpectomy size were BMI, breast size, and maximum preoperative radiologic tumor diameter. A predictive tool for lumpectomy size was developed and a web-based application created to facilitate use of the tool in a clinical setting. Postoperative lumpectomy size can be predicted using BMI, breast size, and radiologic tumor size. This model could be beneficial for breast surgeons in planning reconstructions and preparing and informing their patients more accurately. Risk, III.

Tamoxifen may lead to bothersome side effects contributing to non-compliance and decreased quality of life. Patients searching for relief are increasingly turning to cannabinoids such as CBD-oil. However, CBD-oil might affect tamoxifen pharmacokinetics (PK) through CYP2D6 inhibition. The aims of this open-label, single-arm study were (1) to determine the PK profile of tamoxifen when using CBD-oil, and (2) to subsequently investigate whether CBD-oil has a beneficial influence on side effects. Study patients had to have steady-state endoxifen concentrations ≥16 nM (conservative threshold). PK sampling and side effect assessment was done at initiation of CBD-oil and 28 days thereafter. Bio-equivalence could be concluded if the 90% confidence interval (CI) for the difference in endoxifen AUC fell within the [−20%; +25%] interval. The effect of CBD-oil on side effects was evaluated using the FACT-ES questionnaire. Endoxifen AUC decreased after CBD-oil by 12.6% (n = 15, 90% CI −18.7%, −6.1%) but remained within bio-equivalence boundaries. The endocrine sub-scale of the FACT-ES improved clinically relevant with 6.7 points (n = 26, p < 0.001) and health-related quality of life improved with 4.7 points after using CBD (95% CI + 1.8, +7.6). We conclude that CBD-oil, if of good quality and with a dosage below 50 mg, does not have to be discouraged in patients using it for tamoxifen-related side effects. Clinical trial registration: International Clinical Trial Registry Platform (NL8786; https://www.who.int/clinical-trials-registry-platform).

PurposeTo evaluate perceived access to health care and preferences for health care provision among patients (being) treated for breast cancer during the COVID-19 pandemic.MethodsLongitudinal study within the prospective, multicenter UMBRELLA cohort of patients (being) treated for breast cancer. All cohort participants enrolled in UMBRELLA between October 2013 and November 2020 were sent a COVID-19-specific survey during the first and second wave of the COVID-19 pandemic, i.e., April 2020 and November 2020, respectively.ResultsIn total, 1106 (69.3%) and 822 (50.9%) cohort participants completed the survey in the first and second wave, respectively. The proportion of patients experiencing that their treatment or follow-up care was affected due to COVID-19 decreased from 28.4% (n = 198) in April 2020 to 14.8% (n = 103) in November 2020. Throughout the pandemic, one or more hospital consultations were postponed in 10.0% (n = 82) of all patients and changed into a teleconsultation in 23.1% (n = 190). The proportion of patients who experienced a higher threshold to contact their general practitioner due to COVID-19 decreased from 29.9% (n = 204) in the first wave to 20.8% (n = 145) in the second wave. In-person consultations remained most preferred in 35.2% (n = 289) of all patients. Nearly half of all patients (48.3%, n = 396) indicated that telehealth would be a useful alternative for in-person consultations in future.ConclusionPerceived access to health care has improved substantially throughout the pandemic. Digital care is well received by patients (being) treated for breast cancer.Supplementary InformationThe online version contains supplementary material available at 10.1007/s10549-021-06458-3.

BackgroundBreast cancer treatment with radiotherapy can induce late radiation toxicity, characterized by pain, fibrosis, edema, impaired arm mobility, and poor cosmetic outcome. Hyperbaric oxygen therapy (HBOT) has been proposed as treatment for late radiation toxicity; however, high-level evidence of effectiveness is lacking. As HBOT is standard treatment and reimbursed by insurers, performing classic randomized controlled trials is difficult. The “Hyperbaric OxygeN therapy on brEast cancer patients with late radiation toxicity” (HONEY) trial aims to evaluate the effectiveness of HBOT on late radiation toxicity in breast cancer patients using the trial within cohorts (TwiCs) design.MethodsThe HONEY trial will be conducted within the Utrecht cohort for Multiple BREast cancer intervention studies and Long-term evaluation (UMBRELLA). Within UMBRELLA, breast cancer patients referred for radiotherapy to the University Medical Centre Utrecht are eligible for inclusion. Patients consent to collection of clinical data and patient-reported outcomes and provide broad consent for randomization into future intervention studies. Patients who meet the HONEY in- and exclusion criteria (participation ≥ 12 months in UMBRELLA, moderate/severe breast or chest wall pain, completed primary breast cancer treatment except hormonal treatment, no prior treatment with HBOT, no contraindications for HBOT, no clinical signs of metastatic or recurrent disease) will be randomized to HBOT or control group on a 2:1 ratio (n = 120). Patients in the control group will not be informed about participation in the trial. Patients in the intervention arm will undergo 30–40 HBOT treatment sessions in a high pressure chamber (2.4 atmospheres absolute) where they inhale 100% oxygen through a mask. Cohort outcome measures (i.e., physical outcomes, quality of life, fatigue, and cosmetic satisfaction) of the HBOT group will be compared to the control group at 3 months follow-up.DiscussionThis pragmatic trial within the UMBELLA cohort was designed to evaluate the effectiveness of HBOT on late radiation toxicity in breast cancer patients using the TwiCs design. Use of the TwiCs design is expected to address issues encountered in classic randomized controlled trials, such as contamination (i.e., HBOT in the control group) and disappointment bias, and generate information about acceptability of HBOT.Trial registrationClinicalTrials.gov. NCT04193722. Registered on 10 December 2019.