25 research outputs found

    Природный и антропогенный факторы формирования и развития культурного ландшафта Форосского парка

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    Цель данной статьи: на примере небольшой территории Южного берега Крыма – парка в пгт. Форос и прилегающей к нему местности – показать роль и место культурного ландшафта в формировании человеком исторического геокультурного пространства

    Utility Scores and Preferences for Surgical and Organ-Sparing Approaches for Treatment of Intermediate and High-Risk Rectal Cancer

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    BACKGROUND: Organ-sparing approaches, including wait-and-see and local excision, are increasingly being offered to patients with rectal cancer following a good response to neoadjuvant therapy. Preferences regarding these treatment strategies are yet unknown. OBJECTIVE: This study aimed to determine the preferences and utility scores for rectal cancer treatment approaches. DESIGN: This is a cross-sectional study. SETTING: This study was conducted at the Radiation-Oncology Department of the University Medical Center Utrecht. PATIENTS: Fifty-seven patients with a history of rectal cancer and 38 volunteers were included. MAIN OUTCOME MEASURES: Participants assessed 6 hypothetical treatment-outcome scenarios, including short-course radiotherapy or chemoradiation followed by abdominoperineal resection, low anterior resection, local excision, or a wait-and-see approach. The hierarchy in preferences between scenarios was assessed by using ranking. Utilities were estimated with a visual analog scale and time trade-off. RESULTS: Organ-sparing approaches were ranked as the first preferred treatment option by 51% of the participants. Among all scenarios, wait-and-see was most often ranked highest by patients and volunteers (36% and 50%). Meanwhile, a substantial proportion ranked wait-and-see as their lowest preference (38% in patients and 35% in volunteers). Utility scores differed significantly between scenarios. Wait-and-see received a significantly higher score on the visual analog scale than the scenarios including abdominoperineal resection and the scenario including chemoradiation with low anterior resection, and a score similar to the scenarios including local excision and short-course radiotherapy with low anterior resection. LIMITATIONS: The study population consisted of patients with a history of rectal cancer treatment and volunteers related to patients. This may have influenced preferences. CONCLUSIONS: This study suggests that there is a wide disparity in preferences concerning organ-sparing approaches for rectal cancer in both patients with a history of rectal cancer and volunteers. Wait-and-see is often the highest preferred treatment, but it is also among the least preferred treatment options. These findings give insights into how patients may value the current rectal cancer treatment options. See Video Abstract at http://links.lww.com/DCR/A521

    Utility Scores and Preferences for Surgical and Organ-Sparing Approaches for Treatment of Intermediate and High-Risk Rectal Cancer

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    BACKGROUND: Organ-sparing approaches, including wait-and-see and local excision, are increasingly being offered to patients with rectal cancer following a good response to neoadjuvant therapy. Preferences regarding these treatment strategies are yet unknown. OBJECTIVE: This study aimed to determine the preferences and utility scores for rectal cancer treatment approaches. DESIGN: This is a cross-sectional study. SETTING: This study was conducted at the Radiation-Oncology Department of the University Medical Center Utrecht. PATIENTS: Fifty-seven patients with a history of rectal cancer and 38 volunteers were included. MAIN OUTCOME MEASURES: Participants assessed 6 hypothetical treatment-outcome scenarios, including short-course radiotherapy or chemoradiation followed by abdominoperineal resection, low anterior resection, local excision, or a wait-and-see approach. The hierarchy in preferences between scenarios was assessed by using ranking. Utilities were estimated with a visual analog scale and time trade-off. RESULTS: Organ-sparing approaches were ranked as the first preferred treatment option by 51% of the participants. Among all scenarios, wait-and-see was most often ranked highest by patients and volunteers (36% and 50%). Meanwhile, a substantial proportion ranked wait-and-see as their lowest preference (38% in patients and 35% in volunteers). Utility scores differed significantly between scenarios. Wait-and-see received a significantly higher score on the visual analog scale than the scenarios including abdominoperineal resection and the scenario including chemoradiation with low anterior resection, and a score similar to the scenarios including local excision and short-course radiotherapy with low anterior resection. LIMITATIONS: The study population consisted of patients with a history of rectal cancer treatment and volunteers related to patients. This may have influenced preferences. CONCLUSIONS: This study suggests that there is a wide disparity in preferences concerning organ-sparing approaches for rectal cancer in both patients with a history of rectal cancer and volunteers. Wait-and-see is often the highest preferred treatment, but it is also among the least preferred treatment options. These findings give insights into how patients may value the current rectal cancer treatment options. See Video Abstract at http://links.lww.com/DCR/A521

    Patient Preferences for Minimally Invasive and Open Locoregional Treatment for Early-Stage Breast Cancer

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    Background: Noninvasive or minimally invasive treatments are being developed as alternatives to surgery for patients with early-stage breast cancer. Patients' preferences with regard to these new treatments have not been investigated. Objectives: To assess preferences of patients with breast cancer and of healthy women regarding these new techniques, compared with conventional surgical treatments. Methods: Six hypothetical breast cancer treatment-outcome scenarios were developed: three standard surgical scenarios (mastectomy, mastectomy with immediate implant-based reconstruction, and breast-conserving therapy [BCT]) and three minimally invasive or noninvasive scenarios (radiofrequency ablation, magnetic resonance-guided high-intensity focused ultrasound ablation, and single-dose ablative radiotherapy). Participants rated treatment-outcome scenarios by visual analogue scale (VAS) and time trade-off (TTO). The Friedman and post hoc Wilcoxon signed-rank tests were used to test whether scores were significantly different from BCT. Results: Seventy-one patients with breast cancer and 50 healthy volunteers participated. Overall, BCT was rated the highest in terms of VAS (0.80) and TTO (0.90) scores. After stratification, BCT ranked the highest in most subgroups, with the exception of healthy individuals, who had given the highest score to ablative boost (VAS, 0.80; TTO, 0.88). Mastectomy with immediate reconstruction was the least preferred in most subgroups. Conclusions: This study showed no significant preference for minimally invasive treatment for breast cancer. Using hypothetical scenarios, breast cancer survivors attributed the highest scores to BCT, whereas healthy volunteers showed a slight preference for minimally invasive treatments

    Patient Preferences for Minimally Invasive and Open Locoregional Treatment for Early-Stage Breast Cancer

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    Background Noninvasive or minimally invasive treatments are being developed as alternatives to surgery for patients with early-stage breast cancer. Patients’ preferences with regard to these new treatments have not been investigated. Objectives To assess preferences of patients with breast cancer and of healthy women regarding these new techniques, compared with conventional surgical treatments. Methods Six hypothetical breast cancer treatment-outcome scenarios were developed: three standard surgical scenarios (mastectomy, mastectomy with immediate implant-based reconstruction, and breast-conserving therapy [BCT]) and three minimally invasive or noninvasive scenarios (radiofrequency ablation, magnetic resonance-guided high-intensity focused ultrasound ablation, and single-dose ablative radiotherapy). Participants rated treatment-outcome scenarios by visual analogue scale (VAS) and time trade-off (TTO). The Friedman and post hoc Wilcoxon signed-rank tests were used to test whether scores were significantly different from BCT. Results Seventy-one patients with breast cancer and 50 healthy volunteers participated. Overall, BCT was rated the highest in terms of VAS (0.80) and TTO (0.90) scores. After stratification, BCT ranked the highest in most subgroups, with the exception of healthy individuals, who had given the highest score to ablative boost (VAS, 0.80; TTO, 0.88). Mastectomy with immediate reconstruction was the least preferred in most subgroups. Conclusions This study showed no significant preference for minimally invasive treatment for breast cancer. Using hypothetical scenarios, breast cancer survivors attributed the highest scores to BCT, whereas healthy volunteers showed a slight preference for minimally invasive treatments

    Coronary artery calcifications on breast cancer radiotherapy planning CT scans and cardiovascular risk: What do patients want to know?

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    Background: Coronary artery calcifications (CAC) is a strong predictor of cardiovascular disease (CVD), which can be automatically quantified on routine breast radiotherapy planning computed tomography (CT) scans. Around 8% of patients have (very) high CAC scores and corresponding increased risks of CVD. Aim: This study explores whether, how, and under what conditions women with breast cancer want to be informed about their CAC-based CVD risk. Methods: A cross-sectional survey study was conducted in a random sample of UMBRELLA, a prospective breast cancer cohort. Participants (n = 79) filled out a questionnaire about their knowledge on the CVD risk following breast cancer, their interest in being informed about their CVD risk based on CAC score, and preferences on how they would want to receive this information. Results: Most participants (66%) were not aware that the presence of CAC indicates an increased CVD risk. Participants indicated that they were not or only slightly aware of the risk of treatment-induced cardiotoxicity (48%), and that the risk of cardiotoxicity was higher in patients with pre-existing CVD risk factors (82%). The vast majority (90%) indicated that they want to be informed about in increased CAC-based CVD risk. Conclusions: The majority of patients with breast cancer wants to be informed about their CAC-based CVD risk. With the majority of patients with breast cancer undergoing radiotherapy, and with low cost and automated options for accurate CAC measurement in planning CT scans, it is important to develop strategies to manage patients with an increased CAC-based risk of CVD

    Geographic variation in volumetric breast density between screening regions in the Netherlands

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    Differences in breast density between populations may explain part of the variation in regional breast cancer screening performance. This study aimed to determine whether regional differences in breast density distribution are present in the Dutch screening population. As part of the DENSE trial, mammographic density was measured using a fully-automated volumetric method. The regions in our study were based on the geographic coverage of 14 reading units representing a large part of the Netherlands. General linear models were used. Four hundred eighty-five thousand and twenty-one screening participants with a median age of 60 years were included (2013-2014). The proportion of women with heterogeneously or extremely dense breasts ranged from 32.5 % to 45.7 % between regions. Mean percent dense volume varied between 6.51 % (95 % confidence interval [CI]: 6.46-6.55) and 7.68 % (95 % CI: 7.66-7.71). Age differences could not explain the variation. Socio-economic status (SES) was positively associated with volumetric density in all analyses (low SES: 6.95 % vs. high SES: 7.63 %; p (trend) <0.0001), whereas a potential association between urbanisation and breast density only became apparent after SES adjustment. There appears to be geographic variation in mammographic density in the Netherlands, emphasizing the importance of including breast density as parameter in the evaluation of screening performance. aEuro cent Mammographic density may affect regional breast cancer screening performance. aEuro cent Volumetric breast density varies across screening areas. aEuro cent SES is positively associated with breast density. aEuro cent Implications of volumetric breast density differences need to be studied further

    Bragatston study protocol: A multicentre cohort study on automated quantification of cardiovascular calcifications on radiotherapy planning CT scans for cardiovascular risk prediction in patients with breast cancer

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    Introduction Cardiovascular disease (CVD) is an important cause of death in breast cancer survivors. Some breast cancer treatments including anthracyclines, trastuzumab and radiotherapy can increase the risk of CVD, especially for patients with pre-existing CVD risk factors. Early identification of patients at increased CVD risk may allow switching to less cardiotoxic treatments, active surveillance or treatment of CVD risk factors. One of the strongest independent CVD risk factors is the presence and extent of coronary artery calcifications (CAC). In clinical practice, CAC are generally quantified on ECG-triggered cardiac CT scans. Patients with breast cancer treated with radiotherapy routinely undergo radiotherapy planning CT scans of the chest, and those scans could provide the opportunity to routinely assess CAC before a potentially cardiotoxic treatment. The Bragatston study aims to investigate the association between calcifications in the coronary arteries, aorta and heart valves (hereinafter called a € cardiovascular calcifications') measured automatically on planning CT scans of patients with breast cancer and CVD risk. Methods and analysis In a first step, we will optimise and validate a deep learning algorithm for automated quantification of cardiovascular calcifications on planning CT scans of patients with breast cancer. Then, in a multicentre cohort study (University Medical Center Utrecht, Utrecht, Erasmus MC Cancer Institute, Rotterdam and Radboudumc, Nijmegen, The Netherlands), the association between cardiovascular calcifications measured on planning CT scans of patients with breast cancer (n≈16 000) and incident (non-)fatal CVD events will be evaluated. To assess the added predictive value of these calcifications over traditional CVD risk factors and treatment characteristics, a case-cohort analysis will be performed among all cohort members diagnosed with a CVD event during follow-up (n≈200) and a random sample of the baseline cohort (n≈600). Ethics and dissemination The Institutional Review Boards of the participating hospitals decided that the Medical Research Involving Human Subjects Act does not apply. Findings will be published in peer-reviewed journals and presented at conferences. Trial registration number NCT03206333

    Automatic quantification of calcifications in the coronary arteries and thoracic aorta on radiotherapy planning CT scans of Western and Asian breast cancer patients

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    Purpose: This study automatically quantified calcifications in coronary arteries (CAC) and thoracic aorta (TAC) on breast planning computed tomography (CT) scans and assessed its reproducibility compared to manual scoring. Material and Methods: Dutch (n = 1199) and Singaporean (n = 1090) breast cancer patients with radiotherapy planning CT scan were included. CAC and TAC were automatically scored using deep learning algorithm. CVD risk categories were based on Agatson CAC: 0, 1–10, 11–100, 101–400 and >400. Reliability between automatic and manual scoring was assessed in 120 randomly selected CT scans from each population, with linearly weighted kappa for CAC categories and intraclass correlation coefficient for TAC. Results: Median age was higher in Dutch patients than Singaporean patients: 57 versus 52 years. CAC and TAC increased with age and were more present in Dutch patients than Singaporean patients: 24.2% versus 17.3% and 73.0% versus 62.2%, respectively. Reliability of CAC categories and TAC was excellent in the Netherlands (0.85 (95% confidence interval (CI) = 0.77–0.93) and 0.98 (95% CI = 0.96–0.98) respectively) and Singapore (0.90 (95% CI = 0.84–0.96) and 0.99 (95% CI = 0.98–0.99) respectively). Conclusions: CAC and TAC prevalence was considerable and increased with age. Deep learning software is a reliable method to automatically measure CAC and TAC on radiotherapy breast CT scans

    Automatic quantification of calcifications in the coronary arteries and thoracic aorta on radiotherapy planning CT scans of Western and Asian breast cancer patients

    No full text
    PURPOSE: This study automatically quantified calcifications in coronary arteries (CAC) and thoracic aorta (TAC) on breast planning computed tomography (CT) scans and assessed its reproducibility compared to manual scoring. MATERIAL AND METHODS: Dutch (n = 1199) and Singaporean (n = 1090) breast cancer patients with radiotherapy planning CT scan were included. CAC and TAC were automatically scored using deep learning algorithm. CVD risk categories were based on Agatson CAC: 0, 1-10, 11-100, 101-400 and >400. Reliability between automatic and manual scoring was assessed in 120 randomly selected CT scans from each population, with linearly weighted kappa for CAC categories and intraclass correlation coefficient for TAC. RESULTS: Median age was higher in Dutch patients than Singaporean patients: 57 versus 52 years. CAC and TAC increased with age and were more present in Dutch patients than Singaporean patients: 24.2% versus 17.3% and 73.0% versus 62.2%, respectively. Reliability of CAC categories and TAC was excellent in the Netherlands (0.85 (95% confidence interval (CI) = 0.77-0.93) and 0.98 (95% CI = 0.96-0.98) respectively) and Singapore (0.90 (95% CI = 0.84-0.96) and 0.99 (95% CI = 0.98-0.99) respectively). CONCLUSIONS: CAC and TAC prevalence was considerable and increased with age. Deep learning software is a reliable method to automatically measure CAC and TAC on radiotherapy breast CT scans
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