RESUMO
OBJECTIVES: Access to health services has received increasing attention, and the International Agency for Research on Cancer (IARC) includes 'availability' as one of the indicators to evaluate cancer screening. Evaluating, monitoring, and decision-making on cancer screening depends on systematic quantitative evidence on access to cancer screening, but indicators are currently inconsistently, if they are reported at all. This can be improved by developing systematic indicators for evaluating and reporting access to cancer screening. This requires a thorough understanding of current indicators of access to cancer screening. STUDY DESIGN: Scoping review. METHODS: We completed a scoping review of studies on access to cancer screening services from 2013 to 2022. The relevant indicators were extracted, quantified, and then matched to two widely used frameworks: a universal five-dimensional conceptual framework for access to healthcare ('U5D') and a cancer-specific framework/list on the availability/use of screening indicators endorsed by the IARC. RESULTS: A total of 331 studies on access to cancer screening services were included. Based on the U5D framework, publications from supply side reported approachability (number of publications = 16), acceptability (6), availability and accommodation (44), affordability (30), and appropriateness (11); among this process, 17 sub-indicators were identified. Correspondingly, publications from demand side reported ability to perceive (170), ability to seek (85), ability to reach (58), ability to pay (59), and ability to engage (2); 26 sub-indicators were identified. More macroscopically, the publications of the IARC-endorsed indicators reported availability of policies and guidelines for screening (13), type of screening provided (3), extent of population coverage and participation rates (76), and demographic/behavioural related considerations (167). By integrating the universal and cancer-specific frameworks, a new adapted framework was proposed. CONCLUSIONS: This study identified and collated indicators for evaluating access to cancer screening services, and determined the gaps in the current application of various indicators. The findings are anticipated to facilitate further development of an evaluation indicator system for access to cancer screening services.
RESUMO
PURPOSE: Preoperative planning of maxillary anterior dental implant is a prerequisite to ensuring that the implant achieves the proper three-dimensional (3D) pose, which is essential for its long-term stability. However, the current planning process is labor-intensive and subjective, relying heavily on the surgeon's experience. Consequently, this paper proposes an automatic method for computing the optimal pose of the dental implant. METHODS: The method adopts the principle of prosthetically guided dental implant placement. Initially, the prosthesis coordinate system is established to determine the implant candidate orientations. Subsequently, virtual slices of the maxilla in the buccal-palatal direction are generated according to the prosthesis position. By extracting feature points from the virtual slices, the implant candidate starting points are acquired. Then, a candidate pose set is obtained by combining these candidate starting points and orientations. Finally, a pose evaluation indicator is introduced to determine the optimal implant pose from this set. RESULTS: Twenty-two cases were utilized to validate the method. The results show that the method could determine an ideal pose for the dental implant, with the average minimum distance between the implant and the left tooth root, the right tooth root, the palatal side, and the buccal side being 2.57 ± 0.53 mm, 2.59 ± 0.65 mm, 0.74 ± 0.19 mm, 1.83 ± 0.16 mm, respectively. The planning time was less than 9 s. CONCLUSION: Unlike manual planning, the proposed method can efficiently and accurately complete maxillary anterior dental implant planning, providing a theoretical analysis of the success rate of the implant. Thus, it has great potential for future clinical application.