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  • 1
    In: Zeitschrift für Gastroenterologie, Georg Thieme Verlag KG, Vol. 57, No. 09 ( 2019-09), p. 1051-1058
    Abstract: Background and aim Colorectal cancer (CRC) screening can effectively reduce cancer-associated mortality. In Germany, individuals over the age of 50 or 55 have access to CRC screening services. However, utilization rates are persistently low, particular in the male population. This observational study investigates the effect of standard versus gender-specific invitation letters on utilization of CRC screening services. Methods We analyzed utilization rates of individuals who were insured by a large health insurance fund in Bavaria, Germany. Persons who became eligible for CRC screening received a standard (2013–2014) or a gender-specific invitation letter (2015–2016). We compared utilization rates within 6 months after receipt of the invitation letter using billing codes of the health insurance fund. Results Invitation letters were sent to 49 535 individuals, of which 48.8 % were gender-specific. The overall utilization rate did not differ between recipients of the standard versus gender-specific invitation letter (11.6 % vs 11.1 %; RR: 0.97 [0.92–1.02], p = 0.19). However, uptake of screening colonoscopy was significantly higher among recipients of gender-specific invitations (2.9 % vs 3.5 %; RR: 1.21 [1.04–1.39] , p = 0.01), whereas utilization of fecal occult blood tests declined (10.4 % vs 9.7 %; RR: 0.93 [0.88–0.99], p = 0.016). Conclusions Gender-specific design of invitation letters can modify the patients’ preference for specific CRC screening services and increase the acceptance of screening colonoscopy.
    Type of Medium: Online Resource
    ISSN: 0044-2771 , 1439-7803
    RVK:
    Language: English
    Publisher: Georg Thieme Verlag KG
    Publication Date: 2019
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  • 2
    In: Zeitschrift für Gastroenterologie, Georg Thieme Verlag KG, Vol. 55, No. 12 ( 2017-12), p. 1307-1312
    Abstract: Background and Aim Participation rates in the German colorectal cancer screening program are low. Starting in 2013, a large health insurance plan in Bavaria, Germany, is sending an additional invitation letter to insured individuals when they turn 50 or 55 years and become eligible for participation in the program. The letter provides detailed information on colorectal cancer screening. We assessed the impact of the invitation letter on utilization rates. Methods Insurance claims data of a total of 48 343 individuals who had turned 50 or 55 years between 2012 to 2014 were reviewed for utilization rates of screening colonoscopy and fecal blood tests. Utilization rates 1 year prior (2012) and 2 years after introduction of the invitation letter (2013 and 2014) were compared. Furthermore, providers of colorectal cancer screening were determined. Results Within 6 months after turning 50 or 55 years, 8.8 – 10.2 % of all insured individuals participated in colorectal cancer screening, with the majority being females. After the introduction of the invitation letter, a moderate increase in participation rates could be observed (increase to 109 % [RR 101.7 – 117.3 %, p = 0.02] in 2014). The uptake rate of screening colonoscopy was significantly higher in recipients of the letter (increase to 138.4 % [RR 110.4 – 173.8 %, p = 0.0043] in 2013 and to 149 % [RR 119.5 – 186.3 %, p = 0.0003] in 2014). Furthermore, a significantly higher proportion of general practitioners and gastroenterologists provided colorectal cancer screening in individuals receiving the invitation letter. Conclusions Introduction of an invitation letter can improve participation rates for colorectal cancer screening.
    Type of Medium: Online Resource
    ISSN: 0044-2771 , 1439-7803
    RVK:
    Language: English
    Publisher: Georg Thieme Verlag KG
    Publication Date: 2017
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  • 3
    In: RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Georg Thieme Verlag KG, Vol. 193, No. 05 ( 2021-05), p. 559-573
    Abstract: Purpose A recently developed deep learning model (U-Net) approximated the clinical performance of radiologists in the prediction of clinically significant prostate cancer (sPC) from prostate MRI. Here, we compare the agreement between lesion segmentations by U-Net with manual lesion segmentations performed by different radiologists. Materials and Methods 165 patients with suspicion for sPC underwent targeted and systematic fusion biopsy following 3 Tesla multiparametric MRI (mpMRI). Five sets of segmentations were generated retrospectively: segmentations of clinical lesions, independent segmentations by three radiologists, and fully automated bi-parametric U-Net segmentations. Per-lesion agreement was calculated for each rater by averaging Dice coefficients with all overlapping lesions from other raters. Agreement was compared using descriptive statistics and linear mixed models. Results The mean Dice coefficient for manual segmentations showed only moderate agreement at 0.48–0.52, reflecting the difficult visual task of determining the outline of otherwise jointly detected lesions. U-net segmentations were significantly smaller than manual segmentations (p  〈  0.0001) and exhibited a lower mean Dice coefficient of 0.22, which was significantly lower compared to manual segmentations (all p  〈  0.0001). These differences remained after correction for lesion size and were unaffected between sPC and non-sPC lesions and between peripheral and transition zone lesions. Conclusion Knowledge of the order of agreement of manual segmentations of different radiologists is important to set the expectation value for artificial intelligence (AI) systems in the task of prostate MRI lesion segmentation. Perfect agreement (Dice coefficient of one) should not be expected for AI. Lower Dice coefficients of U-Net compared to manual segmentations are only partially explained by smaller segmentation sizes and may result from a focus on the lesion core and a small relative lesion center shift. Although it is primarily important that AI detects sPC correctly, the Dice coefficient for overlapping lesions from multiple raters can be used as a secondary measure for segmentation quality in future studies. Key Points:  Citation Format
    Type of Medium: Online Resource
    ISSN: 1438-9029 , 1438-9010
    RVK:
    Language: English
    Publisher: Georg Thieme Verlag KG
    Publication Date: 2021
    detail.hit.zdb_id: 2031079-1
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