Planning Protocol Research Articles

Enhancing Resilience through Nuclear Emergency Preparedness at El Dabaa Site

The research utilized advanced PCTRAN and RASCAL software to evaluate the potential radiological impacts of hypothetical accidents, specifically loss-of-coolant accident (LOCA) and long-term station blackout (LTSBO), at the El Dabaa Nuclear Power Plant. Over a span of ten years, comprehensive meteorological data were meticulously analyzed to assess the dispersion of radioactive substances within a 40-kilometer radius across all four seasons. The outcomes revealed that only in the case of LTSBO did the radiological levels surpass the limits set by the Environmental Protection Agency (EPA). Notably, during spring, LTSBO exhibited a maximum total effective dose equivalent (TEDE) value of 13 millisieverts (mSv) at a distance of 3.2 kilometers, and the highest thyroid dose (TD) recorded was 63 mSv at 8 kilometers. These significant findings play a crucial role in shaping strategies related to the distribution of potassium iodide (KI) and further enhance the overall preparedness and evacuation planning protocols.

Optimization of the "Perth CT" Protocol for Preoperative Planning and Postoperative Evaluation in Total Knee Arthroplasty.

Background and Objectives: Total knee arthroplasty (TKA) has become the treatment of choice for advanced osteoarthritis. The aim of this paper was to show the possibilities of optimizing the Perth CT protocol, which is highly effective for preoperative planning and postoperative assessment of alignment. Materials and Methods: The cross-sectional study comprised 16 patients for preoperative planning or postoperative evaluation of TKA. All patients were examined with the standard and optimized Perth CT protocol using advance techniques, including automatic exposure control (AEC), iterative image reconstruction (IR), as well as a single-energy projection-based metal artifact reduction algorithm for eliminating prosthesis artifacts. The effective radiation dose (E) was determined based on the dose report. Imaging quality is determined according to subjective and objective (values of signal to noise ratio (SdNR) and figure of merit (FOM)) criteria. Results: The effective radiation dose with the optimized protocol was significantly lower compared to the standard protocol (p < 0.001), while in patients with the knee prosthesis, E increased significantly less with the optimized protocol compared to the standard protocol. No significant difference was observed in the subjective evaluation of image quality between protocols (p > 0.05). Analyzing the objective criteria for image quality optimized protocols resulted in lower SdNR values and higher FOM values. No significant difference of image quality was determined using the SdNR and FOM as per the specified protocols and parts of extremities, and for the presence of prothesis. Conclusions: Retrospecting the ALARA ('As Low As Reasonably Achievable') principles, it is possible to optimize the Perth CT protocol by reducing the kV and mAs values and by changing the collimation and increasing the pitch factor. Advanced IR techniques were used in both protocols, and AEC was used in the optimized protocol. The effective dose of radiation can be reduced five times, and the image quality will be satisfactory.

Incorporating Socio-Economic Factors in Maximizing Two-Dimensional Demand Coverage and Minimizing Distance to Uncovered Demand: A Dual-Objective MCLP Approach for Fire Station Location Selection

In this study, we employ a dual-objective optimization model, utilizing the Implicit Modified Coverage Location Problem (MCLP-Implicit) approach, to determine an appropriate fire station allocation. Our objectives encompass maximizing coverage in areas with a heightened projected demand, based on socioeconomic predictors of building fires, and concurrently minimizing the distance of uncovered demand zones to the closest fire station. The challenges of this model reflect the criticality of strategic placement, aiming for not just swift response times but also the complete coverage of a region with priority given to subregions with a pronounced potential for incidents. The applicability of the proposed approach is demonstrated through a case study in south-east Queensland. Our findings indicate that there is a tangible justification for adopting this model. The broader coverage and wider spread of locations it produces can greatly aid in the dynamic deployment of personnel during surges caused by seasonal fluctuations or unforeseen calamities. By weaving in socioeconomic aspects into demand predictions, our model has also maintained appropriate coverage to socioeconomically disadvantaged communities in the region. Nevertheless, it is paramount to underline the recommendation that further research should account for road connectivity—a pivotal factor when pinpointing these locations in the real world. This research paves the way for enriched insights in long-term urban planning and fire response protocol crafting, especially in regions mirroring similar socioeconomic profiles or risks of natural disasters, not to mention its commercial implications to the relevant industry servicing the fire and rescue authorities.

The feasibility of relaxation-enhanced angiography without contrast and triggering for preprocedural planning of transcatheter aortic valve implantation.

Cardiovascular MRI is advantageous in transcatheter aortic valve implantation (TAVI) planning. This study aimed to evaluate the feasibility of comprehensive non-contrast MRI [relaxation-enhanced angiography without contrast and triggering (REACT)] combined with a three-dimensional whole-heart MRI protocol for preprocedural planning of TAVI vs. computed tomography angiography (CTA). Thirty patients with severe aortic stenosis were prospectively enrolled. The anatomical properties of the aortic root anatomy, including the perimeter and area of the virtual aortic valve annulus and coronary heights, were determined from 3D whole-heart MRI and cardiac CTA (CCTA) images, respectively. The diameters of the aorta (thoracic and abdominal aorta) and iliofemoral arteries were measured from REACT and aortic CTA (ACTA) images, respectively. A paired t-test was used to compare these two modalities. Bland-Altman plots were used to assess cardiovascular MRI and CTA measurements. Transcatheter heart valve (THV) sizing was performed based on CCTA measurements and compared with 3D whole-heart MRI measurements. The extent of annular calcification on 3D whole-heart MRI images was evaluated by a four-point grading scale and compared with CCTA data. All 30 patients completed CTA and cardiovascular MRI examinations, with the TAVI procedure being administered in 25 patients. The mean acquisition time of the comprehensive MRI protocol was 18 ± 3.2 min. There were no significant differences between ACTA and REACT data in regard to the diameters of aortic and iliofemoral arteries, including the ascending thoracic aorta (37 ± 4.6 mm vs. 37.7 ± 5.2 mm, p = 0.085), descending thoracic aorta (24.3 ± 2.8 mm vs. 24.3 ± 2.8 mm, p = 0.832), abdominal aorta (20.9 ± 2.5 mm vs. 20.8 ± 2.5 mm, p = 0.602), bilateral common iliac arteries (right: 8.36 ± 1.44 mm vs. 8.42 ± 1.27 mm, p = 0.590; left: 8.61 ± 1.71 mm vs. 8.86 ± 1.46 mm, p = 0.050), and bilateral femoral arteries (right: 6.77 ± 1.06 mm vs. 6.87 ± 1.00 mm, p = 0.157; left: 6.75 ± 1.02 mm vs. 6.90 ± 0.80 mm, p = 0.142). Both modalities showed similar aortic valve morphology and semi-quantitative valve calcification (all, p's > 0.05). Overall agreement for implanted THV was found in all 25 (100%) patients assessed with both modalities. REACT combined with 3D whole-heart MRI enables reliable measurements of aortic root anatomy, annular calcification, and aorta and iliofemoral access in patients under evaluation for TAVI.

On the importance of accurate elasto-plastic material properties in simulating plate osteosynthesis failure.

Background: Plate osteosynthesis is a widely used technique for bone fracture fixation; however, complications such as plate bending remain a significant clinical concern. A better understanding of the failure mechanisms behind plate osteosynthesis is crucial for improving treatment outcomes. This study aimed to develop finite element (FE) models to predict plate bending failure and validate these against in vitro experiments using literature-based and experimentally determined implant material properties. Methods: Plate fixations of seven cadaveric tibia shaft fractures were tested to failure in a biomechanical setup with various implant configurations. FE models of the bone-implant constructs were developed from computed tomography (CT) scans. Elasto-plastic implant material properties were assigned using either literature data or the experimentally derived data. The predictive capability of these two FE modelling approaches was assessed based on the experimental ground truth. Results: The FE simulations provided quantitatively correct prediction of the in vitro cadaveric experiments in terms of construct stiffness [concordance correlation coefficient (CCC) = 0.97, standard error of estimate (SEE) = 23.66, relative standard error (RSE) = 10.3%], yield load (CCC = 0.97, SEE = 41.21N, RSE = 7.7%), and maximum force (CCC = 0.96, SEE = 35.04, RSE = 9.3%), when including the experimentally determined material properties. Literature-based properties led to inferior accuracies for both stiffness (CCC = 0.92, SEE = 27.62, RSE = 19.6%), yield load (CCC = 0.83, SEE = 46.53N, RSE = 21.4%), and maximum force (CCC = 0.86, SEE = 57.71, RSE = 14.4%). Conclusion: The validated FE model allows for accurate prediction of plate osteosynthesis construct behaviour beyond the elastic regime but only when using experimentally determined implant material properties. Literature-based material properties led to inferior predictability. These validated models have the potential to be utilized for assessing the loads leading to plastic deformation in vivo, as well as aiding in preoperative planning and postoperative rehabilitation protocols.

Deep-learning-driven dose prediction and verification for stereotactic radiosurgical treatment of isolated brain metastases

PurposeWhile deep learning has shown promise for automated radiotherapy planning, its application to the specific scenario of stereotactic radiosurgery (SRS) for brain metastases using fixed-field intensity modulated radiation therapy (IMRT) on a linear accelerator remains limited. This work aimed to develop and verify a deep learning-guided automated planning protocol tailored for this scenario.MethodsWe collected 70 SRS plans for solitary brain metastases, of which 36 cases were for training and 34 for testing. Test cases were derived from two distinct clinical institutions. The envisioned automated planning process comprised (1): clinical dose prediction facilitated by deep-learning algorithms (2); transformation of the forecasted dose into executable plans via voxel-centric dose emulation (3); validation of the envisaged plan employing a precise dosimeter in conjunction with a linear accelerator. Dose prediction paradigms were established by engineering and refining two three-dimensional UNet architectures (UNet and AttUNet). Input parameters encompassed computed tomography scans from clinical plans and demarcations of the focal point alongside organs at potential risk (OARs); the ensuing output manifested as a 3D dose matrix tailored for each case under scrutiny.ResultsDose estimations rendered by both models mirrored the manual plans and adhered to clinical stipulations. As projected by the dual models, the apex and average doses for OARs did not deviate appreciably from those delineated in the manual plan (P-value≥0.05). AttUNet showed promising results compared to the foundational UNet. Predicted doses showcased a pronounced dose gradient, with peak concentrations localized within the target vicinity. The executable plans conformed to clinical dosimetric benchmarks and aligned with their associated verification assessments (100% gamma approval rate at 3 mm/3%).ConclusionThis study demonstrates an automated planning technique for fixed-field IMRT-based SRS for brain metastases. The envisaged plans met clinical requirements, were reproducible across centers, and achievable in deliveries. This represents progress toward automated paradigms for this specific scenario.

Auto Assistant VMAT Planning with HID Automation

To develop a complete, robust, adaptable and fully customizable software interface for assisting treatment planning procedures on FDA approved commercial system. This will standardize treatment planning process and provide opening interface to other third-party clinical software packages, and introduce AI inference to optimize plan without breaking current clinical planning workflow. Based on our clinical planning workflow, Varian Eclipse TPS were used. The general HID interface AUTOFLOW was developed with scripting language AutoIt and includes optical character reorganization (OCR) ability. The AUTOFLOW is fully customizable and adaptable for different VMAT planning process. The planning workflow and objective constraints template defined by Northwell health, CFAM are applied. AUTOFLOW operates automatically 3 standard planning interfaces (contouring, external beam planning and optimization) of Eclipse based on information in action tables. The information in the tables, such as auxiliary structures, field set up and initial optimization parameters, can be preset according to the plan template or from other 3rd party packages. Based on Northwell CFAM clinical planning protocol, the planning starts from post-contour approval. AUTOFLOW operates Eclipse to create auxiliary structures, set up planning fields then initiate plan optimization. During the optimization, the AUTOFLOW fills the constraint parameters and monitor the objective goals achievement by OCR. The updated parameters are introduced with our developing machine learning package. The whole planning process were assisted by AUTOFLOW automatically, while the planner can intercept the planning process as need. The general interface, AUTOFLOW was developed and applied to automatically assist the VMAT procedure in prostate cases. For each prostate case, more than 213 human HID operations on computers were removed from the plan procedure in our CFAM planning protocol. 12 prostate cases without manual interception were tested. The interface succeeds to reducing the VMAT planning time and planner still own the planning control. The AUTOFLOW software interface can be used to perform VMAT planning in current commercial clinical planning system. It can automatically assist planner operation and provide standard interface to 3rd party software packages. The future works will focus on building a cohesive UI, reducing the time further by improving the prediction of optimization parameters and other treatment sites.

Lexicographic Optimization-Based Planning for Single and Multiple Brain Metastasis Radiosurgery with Coplanar Arcs

This study validated a not yet commercially available fully-automated lexicographic optimization planning system (LOps) for single and multiple lesions intracranial stereotactic radiosurgery (SRS). Forty-four consecutive SRS treatment plans (21 Gy/1 fx) delivered between November 2019 and August 2022 were retrospectively selected and automatically re-planned by LOps: 25 of them has 1 lesion, 13 had 2 lesions, 4 had 3 lesions, and 2 had 4 lesions. An a-priori assigned priority list, Wish List (WL), was used to define the sequential LO: 4 patient sets (tuning set) were necessary to tune each WL, for single lesion-plans (SLp) and multiple lesion-plans (MLp). While in manual plans (MP), the arc setup is freely chosen, the WL was tuned to use 2 coplanar arcs of 140° and 360° for SLp and MLp, respectively. A 0° and 90° collimator rotation were set for counter-clockwise and clockwise arcs, respectively. The fluence optimization is followed by a Monte Carlo calculation (MCc) with 1 mm-dose grid and 0.5%-statistical uncertainty. A target coverage as high as possible was requested, with at least 80% of the prescription dose covering 99% of the PTV. The main criteria for SLp approval were a brain V12Gy <10 cm3. In MLp this criterion can be overcome to get the minimum target coverage. The remaining 36 SRS plans (21 SL and 15 MLp) were automatically re-planned (testing set). Testing plans were compared in terms of dose-volume constraints, conformality, and monitor units (MUs). Statistical significance was assessed by performing the Wilcoxon test and plan delivery accuracy was verified by pre-treatment QA. WLs-tuning took 3 days. Overall manual and automatic MCc time can be estimated at 8 hours and 3 hours, respectively. Statistically significant increases in SLp and MLp target coverage (GTV_D98%: +3.0% SL, +5.7% ML, PTV_D98%: +4.4% SL, +13.4% ML) and conformity index were registered. Automatic plans showed acceptably higher median brain V12Gy (SL: MP 7.2 cm3, SLp 7.6 cm3; ML: MP 8.7 cm3, MLp 10.3 cm3). The SLp registered a lower median MU number (-4.2%) while MLp were obtained with a higher median number of MU (+9.8%). This not statistically significant difference did not affect gamma passing rates. The novel LOps produced high-quality clinically acceptable SRS SL and ML plans with coplanar arcs according to institutional-specific planning protocols, significantly reducing the overall planning time from about one working day for one MP to about 3 hours for one automatic plan. Together with comparable OAR sparing, the target coverage was significantly increased and the plan deliverability preserved.

Role of the Gastrocnemius Musculocutaneous with a Propeller Style Skin Flap in Knee Region Reconstruction: Indications and Pitfalls.

Background Soft tissue reconstruction around the knee area is still an open question, particularly in persistent infections and multiple reoperations scenario. Flap coverage should guarantee joint mobility and protection, even when foreign materials are implanted. The chimeric harvesting of the musculocutaneous gastrocnemius flap, based on the sural artery perforators, can extend its applicability in soft tissue reconstruction of the upper leg, overcoming the drawbacks of the alternative pedicled flaps. Methods A multicenter retrospective study was conducted enrolling patients who underwent to a pedicled, chimeric gastrocnemius musculocutaneous-medial sural artery perforator (GM-MSAP) or lateral sural artery perforator (GM-LSAP) flap for knee coverage in total knee arthroplasty (TKA) recurrent infections and oncological or traumatic defects of the upper leg from 2018 to 2021. Outcomes evaluated were the successful soft tissue reconstruction and flap complications. Surgical timing, reconstruction planning, technique, and rehabilitation protocols were discussed. Results Twenty-one patients were included in the study. Nineteen GM-MSAPs and 2 GM-LSAPs were performed (soft tissue reconstruction in infected TKA [12], in infected hardware [4], and in oncological patients [5]). Donor site was closed primarily in 9 cases, whereas a skin graft was required in 12. Flap wound dehiscence (1), distal flap necrosis (1), distal necrosis of the skin paddle (1), and donor site infection (1) were the encountered complications. Flap reraise associated to implant exchange or extensive debridement was successful without requiring any further flap surgery. Conclusion The propeller-perforator GM-MSAP offers qualitative defect coverage and easiness of multiple flap reraise due to skin availability and its laxity.

Establishing Carotid Seldinger as Routine Access in Infants; Planning, Performance, and Follow-Up Protocols.

Percutaneous carotid access (PCA) in infants has been reported in small multicenter cohorts, case reports and wider studies over the last 20years. Compare outcomes after implementation of a systematic approach to PCA in a single center including an imaging follow-up protocol. Retrospective case-control study of PCA at Children's Hospital Colorado was performed from January 2013 to December 2022. Seventy-four patients underwent 82 PCAs for cardiac catheterization. The median age (range) was 14days (1-359), and weight was 3.25-kg (1.9-7.9). Median sheath size was 4-Fr (3.3-6). Seventy-seven interventions performed included PDA stenting, aortic valvoplasty, BTT shunt stenting, and coarctation stenting. Vascular access was performed using a modified 21g butterfly needle. A protocolized approach was implemented in 2020 reversing the patient head-to-toe orientation on the catheterization table, maintaining intubation and sedation for 4-h during recovery and routine use of a specific vascular ultrasound protocol. Following these changes, time to access significantly improved with no major complications. Before 2020, two access related complications occurred. One requiring surgical vascular repair and one occlusive thrombus. A significant increase in sheath time in post-era was associated with increased case complexity. Longer sheath times were not associated with increased risk of vessel injury or thrombus. No neurological insults were reported. Our experience confirms that PCA is safe and achievable with preserved vessel patency regardless of patient weight or sheath size. A protocolized planning, recovery, and follow-up regimen is recommended to establish safe practice and identify and treat complications as necessary.

Deep learning-based postoperative visual acuity prediction in idiopathic epiretinal membrane

BackgroundTo develop a deep learning (DL) model based on preoperative optical coherence tomography (OCT) training to automatically predict the 6-month postoperative visual outcomes in patients with idiopathic epiretinal membrane (iERM).MethodsIn this retrospective cohort study, a total of 442 eyes (5304 images in total) were enrolled for the development of the DL and multimodal deep fusion network (MDFN) models. All eyes were randomized into a training dataset with 265 eyes (60.0%), a validation dataset with 89 eyes (20.1%), and an internal testing dataset with the remaining 88 eyes (19.9%). The input variables for prediction consisted of macular OCT images and diverse clinical data. Inception-Resnet-v2 network was utilized to estimate the 6-month postoperative best-corrected visual acuity (BCVA). Concurrently, a regression model was developed using the clinical data and OCT parameters in the training data set for predicting postoperative BCVA. The reliability of the models was subsequently evaluated using the testing dataset.ResultsThe prediction DL algorithm exhibited a mean absolute error (MAE) of 0.070 logMAR and root mean square error (RMSE) of 0.11 logMAR in the testing dataset. The DL model demonstrated a robust promising performance with R2 = 0.80, notably superior to R2 = 0.49 of the regression model. The percentages of BCVA prediction errors within ± 0.20 logMAR amounted to 94.32% in the testing dataset.ConclusionsThe OCT-based DL model demonstrated sensitivity and accuracy in predicting postoperative BCVA in iERM patients. This innovative DL model exhibits substantial potential for integration into surgical planning protocols.

Lessons Learned Adapting and Implementing Another Organization’s Program to Promote Healthy Aging

Programming which promotes healthy aging may be lacking in states where nutrition and health interventions are directed earlier in life. Due to Maryland’s increasing aging population, a team of 10 University of Maryland Extension Family and Consumer Sciences educators received permission to adapt and implement the Iowa Department of Public Health’s, in partnership with the Iowa Department of Human Services and Department on Aging, Fresh Conversations program to fit the needs of Maryland’s older adults. The purpose of this manuscript is not to discuss research findings but rather to share our challenges, successes, and recommendations for adapting and implementing another state’s multi-session program to meet the needs of individual states’ communities. Specifically, we discovered communicating with partnering sites, offering food tastings, accommodating various food cultures/traditions, following the original program design, and efficiently collecting data or programmatic form responses needed careful consideration. Despite the challenges we encountered, we expanded our national and state partnerships; reached 2,836 educational contacts across the state; and developed a detailed planning, implementation, and evaluation protocol and training, which is being used as a template for other statewide program efforts.

Adverse Events Related to Direct-To-Consumer Sequential Aligners-A Study of the MAUDE Database.

Background-Direct-to-consumer (DTC) sequential aligners promote "teeth straightening" at a low cost and with added patient convenience. DTC sequential aligners have risen in popularity among the general public and sparked debate among dental professionals. Dental professionals argue that using these aligners without an in-person diagnosis and treatment planning protocol set by a licensed dentist or orthodontist may lead to adverse effects on teeth and surrounding structures. The objective of this study is to describe adverse clinical events associated with the use of DTC sequential aligners as reported in the Food and Drug Administration's Manufacturer and User Facility Device Experience (FDA MAUDE) database. Methods-We searched the MAUDE database from 1 January 2010 to 31 December 2020 for the product code of 'NXC' (sequential aligners). The year, type of adverse event, reporter occupation, and event description were noted. Results-651 reports associated with sequential aligners were found, of which 104 were related to DTC sequential aligners. Fifty-four adverse events were reported in 2019. From the event description, 41.3% comprised bite problems, 29.8% comprised orofacial pain, and 26.6% of patients had some form of periodontal sequelae. Furthermore, 69.2% of the patients followed up after an adverse event with a dentist not associated with DTC aligners. Conclusions-The use of DTC sequential aligners without dental supervision has led to oral health problems, as documented in the MAUDE database. Commonly reported adverse events include bite problems, pain, sensitivity, and periodontal disease, and some adverse events are irreversible.

Practice Changes Induced by a Traveling Fellowship.

The John N. Insall Knee Society Traveling Fellowship selects four international arthroplasty or sports fellowship-trained orthopaedic surgeons to spend 1 month traveling to various Knee Society members' joint replacement and knee surgery centers in North America. The fellowship aims to foster research and education and shares ideas among fellows and Knee Society members. The role of such traveling fellowships on surgeon preferences has yet to be investigated. A 59-question survey encompassing patient selection, preoperative planning, intraoperative techniques, and postoperative protocols was completed by the four 2018 Insall Traveling Fellows before and immediately after the completion of traveling fellowship to assess anticipated practice changes (e.g., initial excitement) related to their participation in a traveling fellowship. The same survey was completed 4 years after the completion of the traveling fellowship to assess the implementation of the anticipated practice changes. Survey questions were divided into two groups based on levels of evidence in the literature. Immediately after fellowship, there was a median of 6.5 (range: 3-12) anticipated changes in consensus topics and a median of 14.5 (range: 5-17) anticipated changes in controversial topics. There was no statistical difference in the excitement to change consensus or controversial topics (p = 0.921). Four years after completing a traveling fellowship, a median of 2.5 (range: 0-3) consensus topics and 4 (range: 2-6) controversial topics were implemented. There was no statistical difference in the implementation of consensus or controversial topics (p = 0.709). There was a statistically significant decline in the implementation of changes in consensus and controversial preferences compared with the initial level of excitement (p = 0.038 and 0.031, respectively). After the John N. Insall Knee Society Traveling Fellowship, there is excitement for practice change in consensus and controversial topics related to total knee arthroplasty. However, few practice changes that had initial excitement were implemented after 4-year follow-up. Ultimately, the effects of time, practice inertia, and institutional friction overcome most of the anticipated changes induced by a traveling fellowship.

Clear aligner therapy procedures and protocols of orthodontists in New Zealand

Abstract Objective To survey clear aligner therapy (CAT) procedures and protocols of orthodontists in New Zealand. Methods One hundred and ten full members of the New Zealand Association of Orthodontists were invited to complete an e-survey. The questions related to respondent demographics, aligner choice and use, CAT planning and treatment protocols, case selection, patient-reported CAT problems and relevant respondent opinions. The reasons for respondents not providing CAT were also surveyed. Results The response rate was 70%. Most respondents (88.3%; N = 68) reported that they used CAT as a treatment modality with 43.15% (N = 29) treating between 1 and 20 patients per year. The predominant CAT system was the Invisalign appliance (70.3%; N = 45) with 49.2% (N = 32) stating that they used more than one CAT system. The respondents reported the areas which were always or mostly in need of amendment prior to acceptance of the CAT treatment plan were attachments (75.6%; N = 50) and final tooth positions (62.1%; N = 41). A median of 0% (IQR: 0, 1) of initial digital treatment plans were approved without changes according to the respondents with a median of 90% (IQR: 80, 99) of CAT patients requiring an additional aligner phase. Almost 80% (78.1%; N = 50) indicated that they were not comfortable in treating cases with increased overbite and 66.7% (N = 44) rarely or never carried out premolar extractions when using CAT. A remote monitoring system was mostly or always used by 32.4% (N = 21) of respondents in conjunction with CAT. Concern regarding patient compliance with CAT protocols was expressed by 43.5% (N = 22). That fixed appliances provided better treatment outcomes was a moderate or major influence on the decision of all respondents (N = 8) who did not provide CAT. Conclusion Although CAT provision by orthodontists is commonplace among orthodontists in New Zealand, there is wide variation in its usage and procedures.

A commentary on the New Urban Agenda

The New Urban Agenda (NUA) was adopted at Habitat III, the United Nations Conference on Housing and Sustainable Urban Development, which was held in Quito, Ecuador, in October 2016. This paper is informed in large measure by the resulting documentation on the so-called ‘Quito Declaration’ and accompanying ‘Implementation Plan’ set out in the official NUA publications prepared by UN Habitat, as well as drawing on various supporting documents prepared by other UN agencies in the wake of the Declaration. The Implementation Plan lists 175 commitments and principles that respond to the vision and ambitions in the Declaration in which the building of more resilient urban settlements and supporting infrastructure is implicitly seen as the pathway to sustainability, and the adoption of more climate-friendly urban planning and development protocols is therefore a priority. While such ambition is clearly laudable, the paper questions the efficacy of the Agenda’s key principles and associated development guidelines, and asks if these are sufficiently detailed to inform policy makers in pursuit of its aspirations, as well as questioning their flexibility as implementation tools to accommodate geographically specific contextual differences in disparate urban settings. It is not therefore a research paper in the normally accepted academic sense, but is simply an essay-cum-commentary on the Agenda’s progress as it seeks to promote good practice in urban planning, and whether this is likely to deliver on more sustainable development that is also responsive to climate change imperatives.

Forecasting ward-level bed requirements to aid pandemic resource planning: Lessons learned and future directions

During the COVID-19 pandemic, there has been considerable research on how regional and country-level forecasting can be used to anticipate required hospital resources. We add to and build on this work by focusing on ward-level forecasting and planning tools for hospital staff during the pandemic. We present an assessment, validation, and deployment of a working prototype forecasting tool used within a modified Traffic Control Bundling (TCB) protocol for resource planning during the pandemic. We compare statistical and machine learning forecasting methods and their accuracy at one of the largest hospitals (Vancouver General Hospital) in Canada against a medium-sized hospital (St. Paul’s Hospital) in Vancouver, Canada through the first three waves of the COVID-19 pandemic in the province of British Columbia. Our results confirm that traditional statistical and machine learning (ML) forecasting methods can provide valuable ward-level forecasting to aid in decision-making for pandemic resource planning. Using point forecasts with upper 95% prediction intervals, such forecasting methods would have provided better accuracy in anticipating required beds on COVID-19 hospital units than ward-level capacity decisions made by hospital staff. We have integrated our methodology into a publicly available online tool that operationalizes ward-level forecasting to aid with capacity planning decisions. Importantly, hospital staff can use this tool to translate forecasts into better patient care, less burnout, and improved planning for all hospital resources during pandemics.

Treatment planning protocols with the Invisalign appliance: an exploratory survey.

To investigate the changes made by orthodontists to the initial digital treatment plan (DTP) regarding the Invisalign appliance provided by Align Technology until acceptance of the plan by the orthodontist. The DTPs of subjects who underwent treatment with the Invisalign appliance and satisfied inclusion criteria were assessed to determine the number of DTPs and changes regarding prescription of aligners, composite resin (CR) attachments, and interproximal reduction (IPR) between the initial DTP and the accepted plan. Statistical analyses were calculated via GraphPad Prism 9.0 (GraphPad Software Inc., La Jolla, Calif). Most of the 431 subjects who satisfied inclusion/exclusion criteria were female (72.85%). More DTPs were required for subjects who had orthodontic extractions (median [interquartile range; IQR]: 4 [3, 5]) compared with those who did not (median [IQR]: 3 [2, 4], P < .0001). The median (IQR) overall number of aligners prescribed in the accepted DTP (30 [20, 39]) was greater than the initial DTP (30 [22,41], P < .001). The number of teeth used for CR attachments increased from the initial to the accepted DTP (P < .001). More CR attachments were observed in extraction treatment DTPs with a prescribed 2-week aligner change protocol compared with nonextraction treatment (P < .0001). The number of contact points with prescribed IPR increased between initial and accepted DTPs (P < .0001). Significant changes regarding DTP protocols were observed between the initial and accepted DTPs and between nonextraction and extraction-based CAT.

Multitemporal relative landslide exposure and risk analysis for the sustainable development of rapidly growing cities

In recent decades, developing countries have experienced an increase in the impact of natural disasters due to ongoing climate change and the sustained expansion of urban areas. The intrinsic vulnerability of settlements, due to poverty and poor governance, as well as the lack of tools for urban occupation planning and mitigation protocols, has made such impacts particularly severe. Cuenca (Ecuador) is a significant example of a city that in recent decades has experienced considerable population growth (i.e. exposure) and an associated increase in loss due to landslide occurrence. Despite such effects, updated urban planning tools are absent, so an evaluation of multitemporal exposure to landslides and related risks is required. In this perspective, a potential urban planning tool is presented based on updated data depicting the spatial distribution of landslides and their predisposing factors, as well as population change between 2010 and 2020. In addition, a multitemporal analysis accounting for changes in exposure between 2010 and 2020 and an estimation of relative landside risk was carried out. Due to the absence of spatially distributed population data, energy supply contract data have been used as a proxy of the population. The results show that the current higher exposure and related relative risk are estimated for parishes (parroquias) located in the southern sector of the study area (i.e. Turi, Santa Ana, Tarqui, Nulti, Baños and Paccha). Moreover, the exposure multitemporal analysis indicates that most parishes located in the hilly areas bounding the city centre (i.e. Sayausi, San Joaquin, Tarqui, Sidcay, Baños, Ricaurte, Paccha and Chiquintad) are experiencing sustained population growth and will be potentially exposed to an increased risk with a consistently growing trend. The obtained relative risk map can be considered a valuable tool for guiding land planning, land management, occupation restriction and early warning strategy adoption in the area. The methodological approach used, which accounts for landslide susceptibility and population variation through proxy data analysis, has the potential to be applied in a similar context of growing population cities in low- to mid-income countries, where data usually needed for a comprehensive landslide risk analysis are non-existing or only partially available.

Black Americans, hospitalization, and advance care planning: Structural vulnerability in Home Health Value-Based Purchasing.

Skilled home health (HH) is the largest long-term care setting and the fastest-growing site of healthcare in the United States (U.S.). Home Health Value-Based Purchasing (HHVBP) is a structure of Medicare that penalizes U.S. HH agencies for high hospitalization rates. Prior studies have shown inconsistent evidence about associations of race with hospitalization rates in HH. Evidence supports that Black or African Americans are less likely to participate in advance care planning (ACP), or to complete written advance directives, which could affect their potential for hospitalization when nearing end of life. In this quasi-experimental study, we used Medicare administrative datasets, the Weighted Acute Care Services Use Rates (WACSUR) score, and the Advance Care Planning Protocol (ACPP) score to determine whether the proportion of Black HH patients in the U.S. was correlated with acute care use rates and the robustness of agency protocols on ACP. We used primary and secondary data from the U.S. from 2016-2020. We included Medicare-certified HH agencies. Spearman's correlation coefficient was used. We found a statistical trend showing that the greater proportion of Black patients enrolled in a HH agency, the greater tendency to have a high hospitalization rate. Our findings suggest that HHVBP may encourage patient selection and exacerbate health disparities. Our findings support recommendations for alternative measures of quality in HH to include measures of goal-concordant care coordination when patients are denied admission to HH.