Impact of organized and opportunistic screening on excess mortality and on social inequalities in breast cancer survival.

In most developed countries, both organized screening (OrgS) and opportunistic screening (OppS) coexist. The literature has extensively covered the impact of organized screening on women's survival after breast cancer. However, the impact of opportunistic screening has been less frequently described due to the challenge of identifying the target population. The aim of this study was to describe the net survival and excess mortality hazard (EMH) in each screening group (OrgS, OppS, or No screening) and to determine whether there is an identical social gradient in each groups. Three data sources (cancer registry, screening coordination centers, and National Health Data System [NHDS]) were used to identify the three screening groups. The European Deprivation Index (EDI) defined the level of deprivation. We modeled excess breast cancer mortality hazard and net survival using penalized flexible models. We observed a higher EMH for "No screening" women compared with the other two groups, regardless of level of deprivation and age at diagnosis. A social gradient appeared for each group at different follow-up times and particularly between 2 and 3 years of follow-up for "OrgS" and "OppS" women. Net survival was higher for "OrgS" women than "OppS" women, especially for the oldest women, and regardless of the deprivation level. This study provides new evidence of the impact of OrgS on net survival and excess mortality hazard after breast cancer, compared with opportunistic screening or no screening, and tends to show that OrgS attenuates the social gradient effect.

Utilization of opportunistic cervical cancer screening in Nigeria.

BACKGROUND: While various interventions have been conducted to decrease cervical cancer's burden in Nigeria, no study has examined the trends in cervical cancer screening uptake over time. The present study sought to fill this gap in knowledge using data collected at Jos University Teaching Hospital (JUTH) in Nigeria. METHODS: Data collected continuously between 2006 and 2016 were analyzed to identify trends in screening uptake, changes in risk factors for cervical cancer, and to identify factors for women screened at Jos University Teaching Hospital (JUTH) in Jos, Nigeria. Categorical analyses and logistic regression models were used to describe patient characteristics by year, and to identify factors associated with repeated screening uptake. RESULTS: A total of 14,088 women who were screened between 2006 and 2016 were included in the database; 2,800 women had more than one screening visit. Overall, screening uptake differed significantly by year. On average women were first screened at age 38. About 2% of women screened were women living with HIV. Most women (86%) had normal pap smear at first screening, with the greatest decreased risk of abnormalities observed between 2011 and 2014. Odds of a follow-up screening after a normal result decreased significantly between 2008 and 2016 compared to women screened in 2006 and 2007. Finally, women living with HIV had increased odds of follow-up screening after having a normal pap smear. CONCLUSIONS: These findings contribute to our understanding of the potential social and health system barriers to cervical cancer control in Nigeria. The findings may assist policy makers to design interventions to increase access and compliance to recommended screening schedules in this vulnerable population.

Artificial intelligence-enhanced opportunistic screening of osteoporosis in CT scan: a scoping Review.

PURPOSE: This scoping review aimed to assess the current research on artificial intelligence (AI)--enhanced opportunistic screening approaches for stratifying osteoporosis and osteopenia risk by evaluating vertebral trabecular bone structure in CT scans. METHODS: PubMed, Scopus, and Web of Science databases were systematically searched for studies published between 2018 and December 2023. Inclusion criteria encompassed articles focusing on AI techniques for classifying osteoporosis/osteopenia or determining bone mineral density using CT scans of vertebral bodies. Data extraction included study characteristics, methodologies, and key findings. RESULTS: Fourteen studies met the inclusion criteria. Three main approaches were identified: fully automated deep learning solutions, hybrid approaches combining deep learning and conventional machine learning, and non-automated solutions using manual segmentation followed by AI analysis. Studies demonstrated high accuracy in bone mineral density prediction (86-96%) and classification of normal versus osteoporotic subjects (AUC 0.927-0.984). However, significant heterogeneity was observed in methodologies, workflows, and ground truth selection. CONCLUSIONS: The review highlights AI's promising potential in enhancing opportunistic screening for osteoporosis using CT scans. While the field is still in its early stages, with most solutions at the proof-of-concept phase, the evidence supports increased efforts to incorporate AI into radiologic workflows. Addressing knowledge gaps, such as standardizing benchmarks and increasing external validation, will be crucial for advancing the clinical application of these AI-enhanced screening methods. Integration of such technologies could lead to improved early detection of osteoporotic conditions at a low economic cost.

Opportunistic screening for osteopathy with routine abdominal computed tomography scan in chronic pancreatitis.

BACKGROUND AND AIMS: Lumbar vertebral bone attenuation, measured in Hounsfield units (HU) can indirectly indicate the bone mineral density (BMD). The aim of this study is to determine the optimal HU threshold on abdominal computed tomography (CT) scans to detect osteopathy in patients with chronic pancreatitis (CP). METHODS: This cross-sectional study included patients with CP who underwent CT scans to measure HU at L1 to L4 vertebrae. The mean lumbar vertebral attenuation of female renal transplant donors, aged 20-30 years was utilized to calculate the T-scoreHU of all patients at each vertebral level. Receiver operator characteristic analysis was used to determine the HU and T-scoreHU for diagnosis of osteopathy in patients with CP. Dual-energy X-ray absorptiometry value was used to categorize osteopenia and osteoporosis. RESULTS: A total of 175 patients (mean age, 34.5 ± 10.9 years; 72 % males) and 33 female renal transplant donors (mean age, 28 ± 2.4 years) were included. A threshold HU value 212 or T scoreHU of -1.80 at L1 vertebra was found to have a 78 % sensitivity and 70 % specificity for differentiating between osteoporosis and non-osteoporosis (osteopenia and normal BMD). Similarly, a threshold HU value of 254 or a T-scoreHU of -0.46 at L1 vertebra had 78 % sensitivity and 71 % specificity for distinguishing between normal and low BMD (osteoporosis and osteopenia). CONCLUSION: Abdominal CT images, which are routinely performed in chronic pancreatitis, can be used for opportunistic screening of osteoporosis and osteopenia without additional cost or radiation exposure.

Cervical cancer screening activity in the Capital Region of Denmark before, during and after the COVID-19 pandemic.

OBJECTIVE: Denmark went through various COVID-19 pandemic restrictions including periodic lockdowns from March 2020 to January 2022. All cancer screening programs were kept operational, yet access to clinicians for cervical screening was at times limited. We assessed the impact of the pandemic on cervical cancer screening activity in the Capital Region of Denmark. METHODS: Cervical screening activity was defined as regular screening by invitation, opportunistic screening, and screening participation by HPV self-sampling. Activity was monitored during and post-pandemic and compared relatively to a 3-year pre-pandemic reference. RESULTS AND CONCLUSIONS: The activity of cervical cancer screening was initially affected by the pandemic lockdowns, but increased activity during summer 2020 partly compensated this effect. Regular screening activity decreased 8.4% in 2020 and returned to pre-pandemic levels in 2021. During 2022 restrictions were removed and the decrease in activity was recorded to be 2.3%. Opportunistic screening activity was reduced by 14.3% in 2020 and 12.6% in 2021. A continued post-pandemic opportunistic screening activity reduction of 18.5% was observed, possibly related to changed patterns of primary health care use introduced during the pandemic. Screening by HPV self-sampling increased from 17.1% in the pre-pandemic period to 21.2% during the pandemic. Significantly more acceptance was recorded amongst older women (p < 0.0001). This increase mirrors the decrease in total clinician collected sample activity during the pandemic, where an increased reduction by age was observed. Post-pandemic HPV self-sampling participation decreased to 12.8%, possible reflecting a temporarily changed composition and motivation in the group of women invited for self-sampling.

Prevalence of newly diagnosed hypertension and its associated factors in an opportunistic screening program in Addis Ababa, Ethiopia: an institution-based cross-sectional study.

BACKGROUND: Hypertension is a recognized risk factor that underlies the epidemic of cardiovascular diseases. Guidelines, including those from the European Society of Hypertension, recommend opportunistic screening for hypertension in all adults. However, there have been no institution-based studies on the prevalence of hypertension and its associated factors with an opportunistic screening program in Ethiopia. Hence, this study aimed to assess the prevalence of newly diagnosed hypertension and its associated factors in an opportunistic screening program in Ethiopia. METHODS: This was an institution-based cross-sectional study conducted on adult participants in an opportunistic hypertension screening program at Yekatit 12 Hospital Medical College, Addis Ababa, Ethiopia, from November 1, 2023, to February 1, 2024. Data were collected using a structured questionnaire, constructed as per the WHO STEPwise approach to non-communicable disease risk factor surveillance (STEPS). The data was analyzed using Statistical Package for Social Sciences (SPSS), version 26. Descriptive analysis was used to compile the sociodemographic and clinical characteristics of the participants, and logistic regression analyses were performed to determine the factors associated with hypertension. RESULTS: A total of 301 adult participants were included in this study. The mean age of the participants was 47.6 years (standard deviation: 13.5), and 62.5% were males. The prevalence of newly diagnosed hypertension was 36.2% (95% confidence interval [CI]: 5.6, 66.8). Male sex (adjusted odds ratio (AOR) = 2.06, 95% (CI): 1.05, 4.04), being married (AOR = 4.8, 95% CI: 1.84, 2.77) or widowed (AOR = 5.14, 95% CI: 1.23, 1.46), less frequent intake of vegetables and/or fruits [< 3 days per week (AOR = 2.88, 95% CI: 1.12, 7.39), and 3 to 5 days per week (AOR = 2.22, 95% CI: 1.02, 4.86)], physical inactivity (AOR = 2.26, 95% CI: 1.21, 4.22), and body mass index (AOR = 1.17, 95% CI: 1.09, 1.26), had significant associations with hypertension. CONCLUSION: This study demonstrated a high prevalence of newly diagnosed hypertension in an opportunistic screening program in Addis Ababa, Ethiopia. It also revealed that most of the factors significantly associated with hypertension were modifiable, underscoring the importance of promoting lifestyle changes. Most importantly, expanding institution-based opportunistic screening programs could be an effective approach to maximize the detection of hypertension and improve access to its treatment.

Breast cancer screening and early diagnosis in China: a systematic review and meta-analysis on 10.72 million women.

BACKGROUND: The incidence of breast cancer among Chinese women has gradually increased in recent years. This study aims to analyze the situation of breast cancer screening programs in China and compare the cancer detection rates (CDRs), early-stage cancer detection rates (ECDRs), and the proportions of early-stage cancer among different programs. METHODS: We conducted a systematic review and meta-analysis of studies in multiple literature databases. Studies that were published between January 1, 2010 and June 30, 2023 were retrieved. A random effects model was employed to pool the single group rate, and subgroup analyses were carried out based on screening model, time, process, age, population, and follow-up method. RESULTS: A total of 35 studies, including 47 databases, satisfied the inclusion criteria. Compared with opportunistic screening, the CDR (1.32‰, 95% CI: 1.10‰-1.56‰) and the ECDR (0.82‰, 95% CI: 0.66‰-0.99‰) were lower for population screening, but the proportion of early-stage breast cancer (80.17%, 95% CI: 71.40%-87.83%) was higher. In subgroup analysis, the CDR of population screening was higher in the urban group (2.28‰, 95% CI: 1.70‰-2.94‰), in the breast ultrasonography (BUS) in parallel with mammography (MAM) group (3.29‰, 95% CI: 2.48‰-4.21‰), and in the second screening follow-up group (2.47‰, 95% CI: 1.64‰-3.47‰), and the proportion of early-stage breast cancer was 85.70% (95% CI: 68.73%-97.29%), 88.18% (95% CI: 84.53%-91.46%), and 90.05% (95% CI: 84.07%-94.95%), respectively. CONCLUSION: There were significant differences between opportunistic and population screening programs. The results of these population screening studies were influenced by the screening process, age, population, and follow-up method. In the future, China should carry out more high-quality and systematic population-based screening programs to improve screening coverage and service.

The cost of adding rapid screening for diabetes, hypertension, and COVID-19 to COVID-19 vaccination queues in Johannesburg, South Africa.

BACKGROUND: Non-communicable diseases (NCDs) are responsible for 51% of total mortality in South Africa, with a rising burden of hypertension (HTN) and diabetes mellitus (DM). Incorporating NCDs and COVID-19 screening into mass activities such as COVID-19 vaccination programs could offer significant long-term benefits for early detection interventions. However, there is limited knowledge of the associated costs and resources required. We evaluated the cost of integrating NCD screening and COVID-19 antigen rapid diagnostic testing (Ag-RDT) into a COVID-19 vaccination program. METHODS: We conducted a prospective cost analysis at three public sector primary healthcare clinics and one academic hospital in Johannesburg, South Africa, conducting vaccinations. Participants were assessed for eligibility and recruited during May-Dec 2022. Costs were estimated from the provider perspective using a bottom-up micro-costing approach and reported in 2022 USD. RESULTS: Of the 1,376 enrolled participants, 240 opted in to undergo a COVID-19 Ag-RDT, and none tested positive for COVID-19. 138 (10.1%) had elevated blood pressure, with 96 (70%) having no prior HTN diagnosis. 22 (1.6%) were screen-positive for DM, with 12 (55%) having no prior diagnosis. The median cost per person screened for NCDs was $1.70 (IQR: $1.38-$2.49), respectively. The average provider cost per person found to have elevated blood glucose levels and blood pressure was $157.99 and $25.19, respectively. Finding a potentially new case of DM and HTN was $289.65 and $36.21, respectively. For DM and DM + HTN screen-positive participants, diagnostic tests were the main cost driver, while staff costs were the main cost driver for DM- and HTN screen-negative and HTN screen-positive participants. The median cost per Ag-RDT was $5.95 (IQR: $5.55-$6.25), with costs driven mainly by test kit costs. CONCLUSIONS: We show the cost of finding potentially new cases of DM and HTN in a vaccine queue, which is an essential first step in understanding the feasibility and resource requirements for such initiatives. However, there is a need for comparative economic analyses that include linkage to care and retention data to fully understand this cost and determine whether opportunistic screening should be added to general mass health activities.

Estimating lumbar bone mineral density from conventional MRI and radiographs with deep learning in spine patients.

PURPOSE: This study aimed to develop machine learning methods to estimate bone mineral density and detect osteopenia/osteoporosis from conventional lumbar MRI (T1-weighted and T2-weighted images) and planar radiography in combination with clinical data and imaging parameters of the acquisition protocol. METHODS: A database of 429 patients subjected to lumbar MRI, radiographs and dual-energy x-ray absorptiometry within 6 months was created from an institutional database. Several machine learning models were trained and tested (373 patients for training, 86 for testing) with the following objectives: (1) direct estimation of the vertebral bone mineral density; (2) classification of T-score lower than - 1 or (3) lower than - 2.5. The models took as inputs either the images or radiomics features derived from them, alone or in combination with metadata (age, sex, body size, vertebral level, parameters of the imaging protocol). RESULTS: The best-performing models achieved mean absolute errors of 0.15-0.16 g/cm2 for the direct estimation of bone mineral density, and areas under the receiver operating characteristic curve of 0.82 (MRIs) - 0.80 (radiographs) for the classification of T-scores lower than - 1, and 0.80 (MRIs) - 0.65 (radiographs) for T-scores lower than - 2.5. CONCLUSIONS: The models showed good discriminative performances in detecting cases of low bone mineral density, and more limited capabilities for the direct estimation of its value. Being based on routine imaging and readily available data, such models are promising tools to retrospectively analyse existing datasets as well as for the opportunistic investigation of bone disorders.

A comparison between IBEX bone health applied to digital radiographs and dual-energy X-ray absorptiometry at the distal-third and ultra-distal regions of the radius.

BACKGROUND: In an ageing population, low impact fragility fractures are becoming increasingly common. However, fracture risk can be reduced where low bone density can be identified at an early stage. In this study we aim to demonstrate that IBEX Bone Health (IBEX BH) can provide a clinically useful prediction from wrist radiographs of aBMD and T-score at the ultra-distal (UD) and distal-third (DT) regions of the radius. METHODS: A 261-participant single-centre, non-randomised, prospective, study was carried out to compare a) IBEX BH, a quantitative digital radiography software device, to b) Dual-energy X-ray Absorptiometry (DXA). A total of 257 participants with wrist digital radiograph (DR), forearm DXA pairs were included in the analysis after exclusions. RESULTS: The adjusted R2 value for IBEX BH outputs to the radial areal bone mineral density (aBMD) produced by a GE Lunar DXA system for the UD region is 0.87 (99% Confidence Interval (CI) [0.84, 0.89]). The adjusted R2 value for IBEX BH outputs to aBMD for the DT region is 0.88 (99% CI [0.85, 0.90]). The Area Under the Receiver Operating Characteristic curve (AUC) for the forearm T-score ≤ - 2.5 risk prediction model at the UD region is 0.95 (99% CI [0.93, 0.98]). The AUC for the forearm T-score ≤ - 2.5 risk prediction model at the DT region is 0.98 (99% CI [0.97, 0.99]). CONCLUSION: From a DR of the wrist, IBEX BH provides a clinically useful i) estimate of aBMD at the two regions of interest on the radius and ii) risk prediction model of forearm T-score ≤ - 2.5 at the UD and DT regions.

Coronal plane in opportunistic screening of osteoporosis using computed tomography: comparison with axial and sagittal planes.

OBJECTIVE: To compare the coronal plane with axial and sagittal planes in opportunistic screening of osteoporosis using computed tomography (CT). MATERIALS AND METHODS: A total of 100 patients aged ≥ 50 years who underwent both lumbar spine CT and dual-energy X-ray absorptiometry within 3 months were included. Osteoporosis was diagnosed based on dual-energy X-ray absorptiometry results. The CT number was measured at the center of the vertebral body in coronal, axial, and sagittal planes. To compare the coronal plane with axial and sagittal planes in diagnosing osteoporosis, the areas under the receiver operating characteristic curve (AUC) were compared and intraclass correlation coefficient (ICC) was calculated. The optimal cutoff values were calculated using Youden's index. RESULTS: The AUC of the coronal plane (0.80; 95% confidence interval [CI], 0.71-0.89) was not significantly different from that of the axial plane (0.78; 95% CI, 0.68-0.87; P = 0.39) and that of the sagittal plane (0.78; 95% CI, 0.69-0.87; P = 0.68). Excellent concordance rates were observed between coronal and axial planes with ICC of 0.95 (95% CI, 0.92-0.96) and between coronal and sagittal planes with ICC of 0.93 (95% CI, 0.85-0.96). The optimal cutoff values for the coronal, axial, and sagittal planes were 110, 112, and 112 HU, respectively. CONCLUSION: The coronal plane does not significantly differ from axial and sagittal planes in opportunistic screening of osteoporosis. Thus, the coronal plane as well as axial and sagittal planes can be used interchangeably in measuring bone mineral density using CT.

Lack of social support, gender and colorectal cancer screening participation across Europe: How do screening programmes mitigate the effect of social support for men and women?

This study investigates how a lack of social support differentially affects men and women's colorectal cancer (CRC) screening participation, considering different screening strategies implemented across European countries. Although health sociology has stressed gender differences in social support and its effects on health behaviours, this was overlooked by cancer screening research. Using a data set of 65,961 women and 55,602 men in 31 European countries, we analysed the effect of social support variables on CRC screening uptake. We found that living alone and lower perceived social support were associated with lower screening uptake for both men and women. These effects were, however, stronger among men. Population-based screening programmes mitigated these effects, particularly for women, but not for men living alone. In countries with opportunistic screening programmes, social support variables remained associated with screening uptake. We conclude that cancer screening interventions should pay attention to social support and its gender-differentiated effects.

Advancements in opportunistic intracranial aneurysm screening: The impact of a deep learning algorithm on radiologists' analysis of T2-weighted cranial MRI.

(1) Background: Unruptured Intracranial Aneurysms (UIAs) are common blood vessel malformations, occurring in up to 3 % of healthy adults. Magnetic Resonance Angiography (MRA) is frequently used for the screening of UIAs due to its high resolution in vascular anatomy. However, T2-Weighted Magnetic Resonance Imaging (T2WI) is a standard sequence utilized for the majority of outpatient head scans. By employing a sequence such as T2WI, there is a possible shift towards early detection of UIAs through opportunistic screening. Here, we assess a Deep Learning Algorithm (DLA) developed to assist radiologists in identifying and reporting UIAs on T2WI in a routine clinical setting. (2) Methods: A DLA was trained on a set of 110 patients undergoing an MR head scan with the gold standard set by two radiology experts. Eight radiologists were given a cohort of 50 cranial T2WI studies and asked for a routine report. After a 10-day washout period, they reviewed the same cases randomized and supported by the DLA predictions. We assessed changes in sensitivity, specificity, accuracy, and false positives. (3) Results: During routine reporting, the models' assistance improved the sensitivity of the eight participants by an average of 36.19 and the accuracy by 10.00 percentage points. (4) Conclusion: Our results indicate the potential benefit of deep learning to improve radiologists' detection of UIAs during routine reporting. From this, we can infer that the combination of T2WI with our DLA supports opportunistic screening, suggesting potential approaches for future research and application.

Design of the Dutch multicentre study on opportunistic screening of geriatric patients for atrial fibrillation using a smartphone PPG app: the Dutch-GERAF study.

BACKGROUND: Screening of high-risk patients is advocated to achieve early detection and treatment of clinical atrial fibrillation (AF). The Dutch-GERAF study will address two major issues. Firstly, the effectiveness and feasibility of an opportunistic screening strategy for clinical AF will be assessed in frail older patients and, secondly, observational data will be gathered regarding the efficacy and safety of oral anticoagulation (OAC). METHODS: This is a multicentre study on opportunistic screening of geriatric patients for clinical AF using a smartphone photoplethysmography (PPG) application. Inclusion criteria are age ≥ 65 years and the ability to perform at least three PPG recordings within 6 months. Exclusion criteria are the presence of a cardiac implantable device, advanced dementia or a severe tremor. The PPG application records patients' pulse at their fingertip and determines the likelihood of clinical AF. If clinical AF is suspected after a positive PPG recording, a confirmatory electrocardiogram is performed. Patients undergo a comprehensive geriatric assessment and a frailty index is calculated. Risk scores for major bleeding (MB) are applied. Standard laboratory testing and additional laboratory analyses are performed to determine the ABC-bleeding risk score. Follow-up data will be collected at 6 months, 12 months and 3 years on the incidence of AF, MB, hospitalisation, stroke, progression of cognitive disorders and mortality. DISCUSSION: The Dutch-GERAF study will focus on frail older patients, who are underrepresented in randomised clinical trials. It will provide insight into the effectiveness of screening for clinical AF and the efficacy and safety of OAC in this high-risk population. TRIAL REGISTRATION: NCT05337202.

MRI-based vertebral bone quality score: relationship with age and reproducibility.

Vertebral bone quality (VBQ) score is an opportunistic measure of bone mineral density using routine preoperative MRI in spine surgery. VBQ score positively correlates with age and is reproducible across serial scans. However, extrinsic factors, including MRI machine and protocol, affect the VBQ score and must be standardized. PURPOSE: The purposes of this study were to determine whether VBQ score increased with age and whether VBQ remained consistent across serial MRI studies obtained within 3 months. METHODS: This retrospective study evaluated 136 patients, age 20-69, who received two T1-weighted lumbar MRI within 3 months of each other between January 2011 and December 2021. VBQ(L1-4) score was calculated as the quotient of L1-L4 signal intensity (SI) and L3 cerebral spinal fluid (CSF) SI. VBQ(L1) score was calculated as the quotient of L1 SI and L1 CSF SI. Regression analysis was performed to determine correlation of VBQ(L1-4) score with age. Coefficient of variation (CV) was used to determine reproducibility between VBQ(L1-4) scores from serial MRI scans. RESULTS: One hundred thirty-six patients (mean ± SD age 44.9 ± 12.5 years; 53.7% female) were included in this study. Extrinsic factors affecting the VBQ score included patient age, MRI relaxation time, and specific MRI machine. When controlling for MRI relaxation/echo time, the VBQ(L1-4) score was positively correlated with age and had excellent reproducibility in serial MRI with CV of 0.169. There was excellent agreement (ICC > 0.9) of VBQ scores derived from the two formulas, VBQ(L1) and VBQ(L1-4). CONCLUSION: Extrinsic factors, including MRI technical factors and age, can impact the VBQ(L1-4) score and must be considered when using this tool to estimate bone mineral density (BMD). VBQ(L1-4) score was positively correlated with age. Reproducibility of the VBQ(L1-4) score across serial MRI is excellent especially when controlling for technical factors, supporting use of the VBQ score in estimating BMD. The VBQ(L1) score was a reliable alternative to the VBQ(L1-4) score.

Impact of Coronary Artery Calcium Score Screening on Cardiovascular Risk Stratification of Patients with Atrial Fibrillation Undergoing Ablation.

INTRODUCTION: There is a well-established association between atrial fibrillation (AF) and coronary artery disease. Coronary artery calcium score (CACS) is a helpful tool to refine cardiovascular (CV) risk stratification and inform on the best strategies for primary CV prevention. This study aims to evaluate the impact of opportunistic screening with CACS on risk stratification and decision of preventive therapies, in patients with AF. METHODS: Cross-sectional study including patients with AF or atrial flutter undergoing cardiac computed tomography for ablation procedure planning, from 2017 to 2019. Baseline clinical and demographical data were collected. CACS was assessed in patients without coronary artery disease using the Agatston method. RESULTS: A total of 474 patients were included (93% with AF, mean age of 58 ± 10 years, 62% male). CACS >0 was present in 254 (54%) patients. According to CACS and the Society of Cardiovascular Computed Tomography recommendations, 25% of the patients would be candidates for statin therapy and 17% would be candidates for changes in the current statin intensity; in 11 patients (8%), acetylsalicylic acid would be recommended. CONCLUSION: In our study, more than half of the patients undergoing cardiac computed tomography before AF catheter ablation had CACS above zero. Our findings suggest that an opportunistic evaluation of CACS at the time of ablation can be an important tool to improve CV risk stratification, with important clinical and therapeutic implications.

Opportunistic Screening Techniques for Analysis of CT Scans.

PURPOSE OF REVIEW: Opportunistic screening is a combination of techniques to identify subjects of high risk for osteoporotic fracture using routine clinical CT scans prescribed for diagnoses unrelated to osteoporosis. The two main components are automated detection of vertebral fractures and measurement of bone mineral density (BMD) in CT scans, in which a phantom for calibration of CT to BMD values is not used. This review describes the particular challenges of opportunistic screening and provides an overview and comparison of current techniques used for opportunistic screening. The review further outlines the performance of opportunistic screening. RECENT FINDINGS: A wide range of technologies for the automatic detection of vertebral fractures have been developed and successfully validated. Most of them are based on artificial intelligence algorithms. The automated differentiation of osteoporotic from traumatic fractures and vertebral deformities unrelated to osteoporosis, the grading of vertebral fracture severity, and the detection of mild vertebral fractures is still problematic. The accuracy of automated fracture detection compared to classical radiological semi-quantitative Genant scoring is about 80%. Accuracy errors of alternative BMD calibration methods compared to simultaneous phantom-based calibration used in standard quantitative CT (QCT) range from below 5% to about 10%. The impact of contrast agents, frequently administered in clinical CT on the determination of BMD and on fracture risk determination is still controversial. Opportunistic screening, the identification of vertebral fracture and the measurement of BMD using clinical routine CT scans, is feasible but corresponding techniques still need to be integrated into the clinical workflow and further validated with respect to the prediction of fracture risk.

Integration of point-of-care screening for type 2 diabetes mellitus and hypertension into the COVID-19 vaccine programme in Johannesburg, South Africa.

BACKGROUND: South Africa grapples with a substantial burden of non-communicable diseases (NCDs), particularly type 2 diabetes (diabetes) and hypertension. However, these conditions are often underdiagnosed and poorly managed, further exacerbated by the strained primary healthcare (PHC) system and the disruptive impact of the COVID-19 pandemic. Integrating NCD screening with large-scale healthcare initiatives, such as COVID-19 vaccination campaigns, offers a potential solution, especially in low- and middle-income countries (LMICs). We investigated the feasibility and effectiveness of this integration. METHODS: A prospective cohort study was conducted at four government health facilities in Johannesburg, South Africa. NCD screening was incorporated into the COVID-19 vaccination campaign. Participants underwent COVID-19 rapid tests, blood glucose checks, blood pressure assessments, and anthropometric measurements. Those with elevated blood glucose or blood pressure values received referrals for diagnostic confirmation at local PHC centers. RESULTS: Among 1,376 participants screened, the overall diabetes prevalence was 4.1%, combining previously diagnosed cases and newly identified elevated blood glucose levels. Similarly, the hypertension prevalence was 19.4%, comprising pre-existing diagnoses and newly detected elevated blood pressure cases. Notably, 46.1% of participants displayed waist circumferences indicative of metabolic syndrome, more prevalent among females. Impressively, 7.8% of all participants screened were potentially newly diagnosed with diabetes or hypertension. Approximately 50% of individuals with elevated blood glucose or blood pressure successfully linked to follow-up care within four weeks. CONCLUSION: Our study underscores the value of utilizing even brief healthcare interactions as opportunities for screening additional health conditions, thereby aiding the identification of previously undiagnosed cases. Integrating NCD screenings into routine healthcare visits holds promise, especially in resource-constrained settings. Nonetheless, concerted efforts to strengthen care linkage are crucial for holistic NCD management and control. These findings provide actionable insights for addressing the NCD challenge and improving healthcare delivery in LMICs.

Application of the 'online assessment + FOBT at home' to improve participation and the efficacy of opportunistic screening for colorectal cancer: a retrospective cohort study.

BACKGROUND: Colorectal cancer (CRC) screening faces two major challenges: insufficient screening coverage and poor adherence. A smartphone applet named "Early Screening Assistant (ESA)" was developed to create an online risk-assessment and fecal occult blood test (FOBT) at home. This retrospective study was designed to evaluate whether the new CRC screening strategy can improve the colonoscopy participation rate (PR) and lesion detection rate (DR). METHODS: In total, 6194 individuals who accepted normal health examinations and CRC screening based on the ESA from June 2020 to May 2022 were assigned to the ESA group. Accordingly, 7923 inhabitants who only accepted normal health examinations were assigned to the control group. The colonoscopy PR and neoplastic lesion DR were then compared between the two groups. RESULTS: Overall, a higher proportion of subjects in the ESA group (285 of 6194 [4.6%]) completed colonoscopy than in the control group (126 of 7923, [1.6%]), p < 0.01). The neoplastic lesion DR also significantly increased in the ESA group (76 of 6194 [1.22%]) compared with the control group (15 of 7923 [0.19%]) (p < 0.01). The adjusted diagnostic sensitivity and specificity of the "Online assessment + FOBT at home" were 41.5% and 62.6% for neoplastic lesions, respectively. CONCLUSIONS: This retrospective cohort study confirmed that the new CRC screening strategy based on the "Online assessment + FOBT at home" can improve colonoscopy participation and the neoplastic lesion detection rate and may represent a promising screening strategy for CRC. TRIAL REGISTRATION: This study was registered in China Clinical Trial Registry ( https://www.chictr.org.cn ) on 29/09/2022. REGISTRATION NUMBER: ChiCTR2200064186.

Vertebral bone quality score for opportunistic osteoporosis screening: a correlation and optimal threshold analysis.

PURPOSE: This study investigated the vertebral bone quality (VBQ) score as a potential tool for opportunistic osteoporosis screening and its correlation with dual-energy X-ray absorptiometry (DXA) values. METHODS: In a single-center retrospective cohort of 130 patients, VBQ and DXA measures were compared using various statistical analyses. The optimal VBQ threshold for predicting osteoporosis was determined using receiver operating characteristic (ROC) analysis. RESULTS: VBQ exhibited a significant negative association with DXA values, suggesting that higher VBQ scores are indicative of lower bone density. Age and VBQ were significant predictors of osteoporosis, with both increasing the log-odds of the condition. An optimal VBQ threshold of 2.7 was determined, demonstrating fair discriminatory power and high negative predictive value. CONCLUSION: The study highlighted the potential of VBQ as a diagnostic tool for osteoporosis with high intra- and inter-observer reliability. The optimal VBQ threshold of 2.7 can aid in ruling out osteoporosis and identifying individuals for further evaluation.