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Nevin Manimala Statistics

The Role of Artificial Neural Networks in Prostate Magnetic Resonance Imaging (MRI) Segmentation

Cureus. 2026 Jul 29;18(7):e113599. doi: 10.7759/cureus.113599. eCollection 2026 Jul.

ABSTRACT

Introduction In recent years, artificial intelligence (AI)-generated prostate whole-gland segmentation has shown promise for clinical use. This study compares AI- and human-derived prostate segmentation on magnetic resonance imaging (MRI) and evaluates its practical application. Methods A retrospective study from December 2020 to December 2022 evaluated 31 randomly selected patients who had previously undergone MRI-ultrasound (US)-guided fusion biopsies. AI-generated auto-contours of the whole-gland prostate, seminal vesicle, and urethra were produced using the ProtégéAI feature of the MIM Software from MRIs obtained on GE Signa HDxt 3.0T and Siemens Altea Magnetom 1.5T scanners. The same MRIs were independently contoured manually by a board-certified urologist (U) and a board-certified radiologist (R) using MIM Software contouring tools. Volumetric conformity among the three contour sets was assessed using the Dice similarity coefficient, Hausdorff distance (HD), and mean distance to agreement (MDA). Contouring time was recorded for each method, with AI timed from command execution to file generation and physicians timed from file opening to save. Pairwise Wilcoxon signed-rank tests (JMP Pro 15) compared contouring times and similarities across AI to urologist (AI-U), AI to radiologist (AI-R), and urologist to radiologist (U-R) contours. Results The average volumetric Dice similarity, HD, and MDA for the AI-U contours were 0.875±0.039, 9.186±4.004 mm, and 1.410±0.511 mm for the whole-gland prostate, 0.283±0.185, 18.117±13.265 mm, and 4.907±4.992 mm for the urethra, and 0.377±0.244, 14.708±9.489 mm, and 4.260±4.092 mm for the seminal vesicle. For the AI-R contours, the values were 0.757±0.072, 17.562±7.240 mm, and 3.050±1.339 mm for the prostate, 0.162±0.105, 19.956±11.962 mm, and 4.798±3.879 mm for the urethra, and 0.451±0.219, 16.069±9.245 mm, and 4.075±3.734 mm for the seminal vesicle. For the U-R contours, the values were 0.769±0.070, 15.109±6.177 mm, and 2.733±1.265 mm for the prostate, 0.144±0.091, 13.560±7.087 mm, and 3.406±1.985 mm for the urethra, and 0.471±0.216, 12.981±6.756 mm, and 3.264±2.308 mm for the seminal vesicle. Using the Wilcoxon signed-rank test with statistical significance defined as p<0.01, the AI-U Dice similarity for the prostate differed significantly from both the AI-R and U-R comparisons. Similarly, AI-U demonstrated significantly different HD values than both AI-R and U-R, whereas the AI-R and U-R HD comparison was statistically insignificant. All pairwise MDA comparisons for the prostate were statistically significant. For the urethra, the AI-U Dice similarity differed from the other two comparisons, while for HD, the AI-R and U-R comparisons differed significantly from each other. No significant differences were observed among the three comparisons for the seminal vesicle across any metric. The average times to produce contours for the AI, urologist, and radiologist were 96.5 seconds, 285.8 seconds, and 217.9 seconds, respectively (p<0.01 for each time comparison). Conclusion This study suggests that AI may be a useful tool for prostate segmentation workflows in streamlining MRI-US prostate cancer diagnostics by producing similar contouring results in less time. Additional investigation should be conducted regarding the differences between the pathological outcomes of AI and non-AI contours, and the accuracy, cost analysis, and efficiency of AI technology should be elucidated.

PMID:42542897 | PMC:PMC13428640 | DOI:10.7759/cureus.113599

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Nevin Manimala Statistics

Evaluation of Telemental Health Utilization and Patient Engagement at King Abdulaziz Medical City: A Retrospective Cross-Sectional Study of the Pre-Pandemic, Pandemic, and Post-Pandemic Periods (2019-2025)

Cureus. 2026 Aug 1;18(8):e113791. doi: 10.7759/cureus.113791. eCollection 2026 Aug.

ABSTRACT

Introduction The use of health services expanded during the pandemic and became a regular part of healthcare. There is not a lot of information about how these services are used over the long term and how patients engage with them. This study examined how patients used telemental health services at King Abdulaziz Medical City (KAMC), Riyadh, Kingdom of Saudi Arabia, from 2019 to 2025. Objectives To evaluate how telemental health services were used and how patients engaged with them during the time before the pandemic, during the pandemic, and after the pandemic. The study also compared how many appointments were completed and the characteristics of patients who had virtual appointments versus in-person appointments. Methods This was a retrospective, repeated cross-sectional census study of electronic health record data on all scheduled mental health appointments, virtual and in-person, at KAMC from January 1, 2019, to December 31, 2025. All eligible encounters and unique patients across 12 facilities were included using total enumeration rather than sampling. Data were cleaned and analyzed in Python using Google Colab. Descriptive statistics were used to summarize appointment and patient characteristics. Chi-square tests were used to compare categorical variables, including appointment completion by encounter type, and the Mann-Whitney U test was used to compare patient age between virtual and in-person appointments. A binary logistic regression model was used to identify factors associated with appointment completion, including encounter type, pandemic period, and patient demographics. Results The study included 479,643 appointments with 51,323 patients at 12 facilities. Overall, 9% of the appointments were virtual. In 2019, there were no appointments, but their use increased during the pandemic and then stayed steady at around 11% to 12% per year after 2021. Overall, 55% of appointments were completed. Virtual appointments had a higher completion rate than in-person appointments, with 60% of virtual appointments being completed compared to 54% of in-person appointments. We also found that patients who had virtual appointments were substantially older and that virtual appointments were mostly used for follow-up visits rather than new patient appointments. Conclusion Telemental health services went from being an emergency solution during the pandemic to a part of mental health services at the facility. The study found that virtual appointments were associated with patient engagement, which means that patients were more likely to complete their appointments. These findings support the continued use of a hybrid of in-person and virtual mental health services. The findings provide information to support the planning and development of telemental health services. Telemental health services are a part of the healthcare system, and they can be an effective way to deliver the services.

PMID:42542890 | PMC:PMC13428641 | DOI:10.7759/cureus.113791

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Perceptions about protein supplements among adults in Saudi Arabia (knowledge and attitude, use, health beliefs, and safety concerns)

PeerJ. 2026 Jul 29;14:e21545. doi: 10.7717/peerj.21545. eCollection 2026.

ABSTRACT

BACKGROUND: Protein supplements have gained popularity among gym users in Saudi Arabia. This study aimed to collect data from adults in Saudi Arabia focusing on six components related to protein supplements: demographic characteristics of participants, health and physical activity information, knowledge and attitudes, use, health beliefs, and safety concerns.

METHOD: This study was a cross-sectional, observational online survey targeting adults in Saudi Arabia. Participants included males and females aged 18 and older. Participants who did not complete the survey, as well as pregnant or breastfeeding women, were excluded. Ethical approval was obtained from the Deanship of Scientific Research at Qassim University. Data were analyzed by gender using SPSS version 25, with descriptive statistics and chi-square tests. A total of 358 participants completed the online questionnaire, while two participants did not complete it between March 29, 2024 and December 31, 2024.

RESULT: Regarding knowledge and attitudes, about 68.2% of participants (including both users and non-users of protein supplements) were aware of protein supplements, with males (81.3%) showing significantly higher awareness than females (63.7%). Additionally, 64.8% of participants (both male and female) were unaware of the risks associated with protein supplements. Of all participants, 56% of males and 39.3% of females did not believe that natural protein sources are enough for muscle building, indicating a significant difference. About 127 participants (35.5%) reported using protein supplements either currently or in the past, with no significant difference between males and females. Of those who reported using protein supplements, 11.8% experienced some side effects and were significantly less knowledgeable about the amount of protein they should consume from food and how much protein is enough for their needs. The majority of protein supplement users (48.8%) did not know if protein powders could contain doping agents, with females reporting significantly higher responses than males. Regarding safety concerns, only 43.3% of protein supplement users looked for protein supplements marked with NSF Certified for Sport® on the package, with no significant difference between males and females. Finally, 78% of protein supplement users expressed a need for more information on how to select the best protein supplements, with the highest need found in females and participants who exercise regularly, who showed significantly higher needs for additional guidance.

CONCLUSIONS: There remains a significant need for increased education about the proper use of protein supplements to minimize potential side effects and increase understanding of their health risks and safety concerns.

PMID:42542879 | PMC:PMC13428538 | DOI:10.7717/peerj.21545

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Patient Perspectives on Orthodontic Treatment Challenges, Knowledge, and Attitudes: A Cross-Sectional Survey

Cureus. 2026 Jul 1;18(7):e111896. doi: 10.7759/cureus.111896. eCollection 2026 Jul.

ABSTRACT

BACKGROUND: Orthodontic treatment involves the placement of appliances such as brackets, bands, and wires that are foreign objects within the oral cavity. These appliances, combined with the long treatment duration, can pose various physical and psychological challenges for patients. Understanding these challenges and assessing patient knowledge and attitudes may facilitate targeted patient education and improve treatment compliance.

METHODS: A cross-sectional questionnaire-based survey was conducted among 150 patients (aged 15-30 years) undergoing active orthodontic treatment. A structured, pre-validated 20-item questionnaire assessed treatment-related challenges, knowledge, and attitudes toward orthodontic treatment. Data were analyzed using descriptive statistics. Prevalence estimates with 95% confidence intervals (95% CIs) were calculated for all variables.

RESULTS: Food lodgment (54.7%; 95% CI: 46.7%-62.6%) and pain (53.3%; 95% CI: 45.3%-61.3%) were the most frequently reported challenges. Posterior bracket breakage (73.3%) was more frequently reported than anterior bracket breakage (26.7%). The majority of patients demonstrated a positive attitude: 93.3% took extra care in brushing, 86.7% were aware of the need for retainers, and 95.3% would recommend orthodontic treatment to others. Overall treatment satisfaction was high, with 90.6% rating their experience as good or very good.

CONCLUSION: Food lodgment, pain, and oral ulcers were the most prevalent challenges during orthodontic treatment. Despite these difficulties, patients displayed good knowledge and a positive attitude toward their treatment, highlighting the effectiveness of patient education and counseling.

PMID:42542876 | PMC:PMC13428491 | DOI:10.7759/cureus.111896

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Nevin Manimala Statistics

Low Vitamin D Status and Post-Stroke Depression, Falls, and Functional Recovery in Older Adults with Nonvalvular Atrial Fibrillation-Associated Ischemic Stroke

Clin Interv Aging. 2026 Jul 28;21:607805. doi: 10.2147/CIA.S607805. eCollection 2026.

ABSTRACT

BACKGROUND: Older adults with atrial fibrillation (AF)-associated acute ischemic stroke are prone to disability, depressive symptoms, and falls; the prognostic value of vitamin D status is uncertain.

METHODS: We conducted a single-center prospective cohort study of patients aged ≥65 years with ECG-confirmed AF and imaging-confirmed acute ischemic stroke at a tertiary hospital in China (January 2022-August 2024). Serum 25-hydroxyvitamin D [25(OH)D] within 48 hours was modeled per 10 ng/mL decrement and as <20 vs ≥20 ng/mL. Outcomes were 3-month modified Rankin Scale (mRS) shift, Barthel Index (BI), and PHQ-9 ≥10, plus 12-month time to first fall (death as a competing event) and total falls rate. Models adjusted for prespecified baseline confounders.

RESULTS: Among 802 participants, median age was 76.2 years (IQR, 71.6-80.6); 60.7% had 25(OH)D <20 ng/mL. Three-month mRS/BI, 3-month PHQ-9, and falls follow-up data were available for 776 (96.8%), 762 (95.0%), and 742 (92.5%) participants, respectively. Each 10 ng/mL lower 25(OH)D was associated with worse 3-month mRS shift (common OR 1.17, 95% CI 1.05-1.31) and lower BI (β -3.9, 95% CI -6.2 to -1.6). Depressive symptoms occurred in 16.8% and were more common with 25(OH)D <20 ng/mL (OR 1.54, 95% CI 1.07-2.22). Among 742 with falls follow-up, low 25(OH)D predicted first fall (HR 1.29, 95% CI 1.07-1.55) and a higher recurrent falls rate (IRR 1.33, 95% CI 1.10-1.61).

CONCLUSION: Lower baseline 25(OH)D was consistently associated with poorer functional recovery, greater depressive symptom burden, and higher fall risk and recurrence, supporting 25(OH)D as a pragmatic prognostic marker; multicenter validation and targeted trials are warranted.

PMID:42542873 | PMC:PMC13428550 | DOI:10.2147/CIA.S607805

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Nevin Manimala Statistics

Assessment of groundwater radioactivity and radiological health risk around a coal-based thermal power plant

Environ Geochem Health. 2026 Aug 1;48(12):500. doi: 10.1007/s10653-026-03401-7.

ABSTRACT

This study evaluated the radioactivity levels and associated radiological health risks of groundwater surrounding a coal-based super thermal power plant in Jhajjar district, Haryana, India. A total of seventy groundwater samples were gathered from thirty-five locations within a 20 km radius, along with five background sites located beyond that distance and were analysed for 40K, 238U, and 232Th using a Sodium Iodide, Thallium-activated (NaI (Tl)) scintillation detector. The activity concentrations in the 20 km area varied from 0.11 to 37.72 Bq/L for 40K (with an average of 8.14 ± 0.37 Bq/L), 0.01 to 3.13 Bq/L for 238U (average 0.82 ± 0.07 Bq/L), and 0.01 to 3.52 Bq/L for 232Th (average 0.45 ± 0.04 Bq/L). These levels were notably higher than the regional background levels measured beyond 20 km. The Annual Effective Dose and the Excess Lifetime Cancer Risk derived from radiological parameters showed the variation from 0.047 to 0.489 mSv y⁻1, and 1.64 × 10⁻4 to 17.12 × 10⁻4 respectively. Approximately 60% of the groundwater samples exceeded the WHO (2017) guideline value for uranium (238U; 0.5 Bq/L), while about 40% exceeded the World Health Organization (WHO, 2017) reference level for Total Annual Effective Dose from drinking water (0.1 mSv y⁻1). Furthermore, five sampling locations (W14, W17, W 18, W19 and W21) exceeded the International Commission on Radiological Protection (ICRP, 2007) benchmark for Excess Lifetime Cancer Risk (1 × 10⁻3). The elevated radionuclide concentrations within the 20 km radius were likely influenced by fly ash dispersion from the thermal power plant, as inferred from spatial, statistical, and wind-direction patterns, in addition to natural contributions from the regional geology. These results set a quantitative radiological baseline for the study area and showed how important it is to regularly check the groundwater to make sure it meets international radiological safety standards.

PMID:42542540 | DOI:10.1007/s10653-026-03401-7

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Nevin Manimala Statistics

Perforating scleral vessel angular metrics as a structural biomarker of myopic choroidal neovascularisation

Eye (Lond). 2026 Aug 1. doi: 10.1038/s41433-026-04781-x. Online ahead of print.

ABSTRACT

BACKGROUND: To quantitatively assess the entrance angle variability and location of perforating scleral vessels (PSVs) in highly myopic eyes and to investigate its association with myopic choroidal neovascularisation (mCNV) versus lacquer cracks (LC).

METHODS: Entrance angles from the sclera to choroid were measured on each B-scan OCT using ImageJ and associated angle metrics were calculated per PSVs. Additional variables included subfoveal choroidal thickness (SFCT) and vessel-to-fovea distance (VFD). In mCNV eyes the total number of injections and treatment duration were also accounted.

RESULTS: A total of 42 eyes were included, 25 with mCNV and 17 with LC. Eyes with mCNV demonstrated significantly greater PSV angular variability including angular standard deviation, and their normalised metrics compared to LC eyes (all p < 0.001). VFD was shorter in the mCNV group (50.2 ± 52.6 µm vs. 91.5 ± 39.6 µm, p = 0.006). Normalised angle metrics correlated positively with the total number of anti-VEGF injections (r ≈ 0.37, p < 0.05), whereas no association was observed with treatment duration. In multivariable regression, no predictors reached statistical significance although normalised angle range (NAR) showed a trend toward a negative association with VFD (p = 0.060).

CONCLUSIONS: PSV angular variability was markedly greater in mCNV eyes and correlated with anti-VEGF injection burden reflecting higher treatment intensity but not longer disease duration. These findings suggest that PSV geometry influences LC and mCNV, may serve as an imaging biomarker of disease activity in mCNV. Shorter VFD and greater angular dispersion likely reflect structural and hemodynamic alterations predisposing to mCNV.

PMID:42542506 | DOI:10.1038/s41433-026-04781-x

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Development and internal validation of a clinical prediction model for deep surgical site infection after open extremity fractures: the BIGB2OSS score

Eur J Orthop Surg Traumatol. 2026 Aug 1;36(1):315. doi: 10.1007/s00590-026-04901-z.

ABSTRACT

INTRODUCTION: Early identification of patients at high risk of deep surgical site infection after open extremity fractures is crucial for timely intervention and improved outcomes. This study aimed to develop and internally validate a clinical prediction model, the BIGB2OSS score, for predicting deep surgical site infection within three months of injury using variables easily obtained in early post-injury phase.

METHODS: A prospective cohort study was conducted at two university hospitals in Japan, including 570 consecutive patients with open extremity fractures. Data on 18 candidate predictors were collected in the early post-injury phase. The primary outcome was the occurrence of deep surgical site infection within three months of injury. A backward stepwise logistic regression model was used to build the prediction model. Model performance was assessed using the area under the curve (AUC) and internal validation with bootstrap methods.

RESULTS: The BIGB2OSS score was a 5-point model based on four predictors: BMI ≥ 25 (1 point), Gustilo-Anderson classification IIIA (1 point), Gustilo-Anderson IIIB or IIIC (2 points), OTA-OFC skin = 3 (1 point), and smoking history (1 point). The model showed fair discriminative ability with an AUC of 0.76 (95% CI 0.70-0.83). Internal validation using bootstrap resampling with 1000 repetitions yielded an optimism-adjusted C-statistic of 0.76 (95% CI 0.70-0.83). The estimated probabilities of deep surgical site infection were 2.7% for scores 0-1, 11% for scores 2-3, and 30% for scores 4-5, closely matching the actual prevalence.

CONCLUSION: The BIGB2OSS score is a simple clinical prediction model with fair discrimination for deep surgical site infection in patients with open extremity fractures. It uses early post-injury variables and may support timely risk communication and follow-up planning. Further external validation is needed to confirm its utility in diverse clinical settings.

PMID:42542500 | DOI:10.1007/s00590-026-04901-z

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Long-term remote sensing monitoring of turbidity in the Danjiangkou Reservoir, China: spatiotemporal dynamics and influencing factors

Environ Monit Assess. 2026 Aug 1;198(8):900. doi: 10.1007/s10661-026-15759-3.

ABSTRACT

The Danjiangkou Reservoir is the drinking-water source of the South-to-North Water Diversion Middle Route and a national Class I drinking-water protection area. Ensuring low turbidity is essential for safeguarding downstream public health and national water security. However, turbidity retrieval in large inland reservoirs using remote sensing is often constrained by limited in situ samples and weak model generalization across seasons and years. We integrated 49 GaoFen-1 (GF-1) satellite images with in situ measurements from the national water quality network to construct a matchup dataset for model development and validation from 2020 to 2024. Using this matchup dataset, five modeling approaches were compared under a time-ordered validation framework to identify a suitable model for predicting in situ turbidity from GF-1 spectral features. Among them, the sparrow search algorithm (SSA)-optimized extreme gradient boosting (XGBoost) approach achieved the best performance and was selected for retrospective quarterly mapping from 2013 to 2024. Across 45 quarterly clear-sky scenes, 95.5% of all retrieved turbidity values were below 15 nephelometric turbidity units (NTU), while persistent spatial heterogeneity and recurrent inflow-zone hotspots remained evident. Scene-wise diagnostics indicated stable performance across acquisition dates, with per-scene mean absolute error (MAE) < 4 NTU for all 49 scenes and 61.2% of scenes falling within 0-2 NTU. Precipitation showed the clearest association with turbidity and exhibited a region-dependent lagged response within the 52-h pre-acquisition window, with the strongest response observed in the precipitation-sensitive zone about 28-51 h before image acquisition (r = 0.36). Water temperature showed a moderate negative relationship with turbidity (r = – 0.47). These results provide spatial evidence for long-term turbidity surveillance, recurrent hotspot identification, and post-storm monitoring in large source-water reservoirs.

PMID:42542499 | DOI:10.1007/s10661-026-15759-3

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Ideal free distribution in a system of multiple predator and prey species

J Math Biol. 2026 Aug 1;93(2):29. doi: 10.1007/s00285-026-02428-9.

ABSTRACT

We study mechanisms and effects of ideal free distributions (IFDs) on an ecological community consisting of n prey and m predator species, for any positive integers n and m, by considering the corresponding diffusive Lotka-Volterra system with time-periodic coefficients. We define a notion of joint IFD in a time-periodic environment, and give necessary and sufficient conditions for it to be achieved by a subcollection of prey and predator species with suitable dispersal strategies. Next, we show, via construction of a Lyapunov functional, that such dispersal strategies are evolutionarily stable, in the sense that if a subcollection of prey and predator species adopts an ideal free dispersal strategy, then the total community must converge to an IFD for large time; if a unique combination of prey-predator species adopts an ideal free strategy, then it can drive all other species to extinction. Conversely, if a combination of prey-predator species adopts a non-ideal free dispersal strategy, then it can be invaded by some suitable mutant strategies. Our results provide insight into the evolution of spatial distribution of ecological communities with predator-prey interactions.

PMID:42542498 | DOI:10.1007/s00285-026-02428-9