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Abstract Background The left anterior descending (LAD) coronary artery is a critical organ‐at‐risk in thoracic radiotherapy. In thoracic stereotactic body radiation therapy (SBRT), sharp dose gradients and poor LAD contrast on 4DCT scans introduce uncertainty in LAD dose assessment. Methods We evaluated the performance of an AI‐generated LAD region structure as a surrogate for manual LAD contours in early‐stage NSCLC. We used deep inspiration breath hold (DIBH) scans from 49 patients with manually delineated LADs; planning risk volume contours were expanded by 3 mm. Then, 96 lung SBRT dose maps were registered by matching the left anterior portion of the heart contours. Dice similarity coefficient (DSC), inclusion ratios (IR), dose–volume histogram (DVH) metrics, linear regression, and linear mixed models were used to compare the structures. The correlation of the AI LAD region and LAD dose to mean heart dose (MHD) was assessed. Results The AI LAD region showed strong correlation with manual LAD contours for maximum dose (D1%, R 2 = 0.93) and volume receiving ≥10 Gy (V10Gy, R 2 = 0.81). The planning risk volume also demonstrated high correlation to the AI LAD region. MHD was a poor predictor of LAD dose ( R 2 ≈0.4). Additional dose metric correlations were assessed. Discussion To investigate dose volume effects to the LAD during radiotherapy for stage I NSCLC, a robust segmentation paradigm must be established. It must be easily implementable on typical imaging acquired during treatment, with an emphasis on clinical translatability. Our model has shown that the AI LAD region has a strong correlation with LAD dose under typical lung SBRT doses and supports its use for further investigation into LAD dose volume constraints during lung SBRT. Conclusion AI LAD region provides a clinically feasible and scalable alternative to manual LAD contouring for dose estimation in lung SBRT. Its strong correlation with key dose metrics validates its use in large‐scale retrospective and prospective studies.

This study uses national cause-of-death data to examine long-term trends in deaths caused by US law enforcement.

Importance There is no consensus on staging and surveillance imaging for cutaneous squamous cell carcinoma (CSCC). Although imaging has been shown to affect management, broad recommendations from the National Comprehensive Cancer Network have led to variability in clinical practice. Objective To develop multidisciplinary consensus recommendations on the use of staging and surveillance imaging of localized CSCC. Evidence Review A multidisciplinary expert panel across academic and clinical practice settings convened a Delphi consensus, with 3 iterative survey rounds from January to June 2025. Data were analyzed from February 2025 to January 2026. Eligibility defined by at least 1 to 2 CSCC publications during the previous 5 years, involvement in a relevant clinical trial, experience treating at least 3 patients monthly with CSCC, and/or 5 years or longer of clinical practice. Fifty-four experts were invited and 45 (83%) completed all 3 rounds and were included in the final analysis. Structured Delphi surveys evaluated clinical scenarios, imaging modalities, and surveillance strategies for CSCC. Consensus and near-consensus recommendations were generated, defined as 80% or greater and 70% to 79% agreement, respectively. Findings The 45 participants (21 female individuals [47%] and 24 male individuals [53%]; 14 Asian individuals [31%], 1 multiracial individual [2%], and 30 White individuals [67%]) consisted of dermatology (15 [33%]), medical oncology (7 [16%]), radiation oncology (9 [20%]), radiology (9 [20%]), surgery (3 [7%]), and otolaryngology specialists (2 [4%]). The Delphi panel recommended staging and surveillance for CSCCs with at least a 15% risk of metastasis. Consensus or near consensus was reached to recommend staging and surveillance imaging for tumors with a concern for metastasis, bone invasion, invasion beyond subcutaneous fat, large-caliber nerve invasion, or a diameter of 4 cm or larger or the combination of tumors with poorly differentiated histology and any of the following: diameter of 2 cm or larger, lymphovascular invasion and subcutaneous fat invasion, or lymphovascular invasion and small-caliber perineural invasion. Computed tomography imaging was the preferred modality for nodal staging (38 [84%]) and surveillance (35 [78%]). For surveillance duration, consensus was reached to provide imaging for at least 2 years, and near consensus was reached for at least 3 years. Conclusions and Relevance This study provides an expert consensus–based framework to standardize imaging in localized CSCC that may inform future guidelines.

ABSTRACT Management of prostate cancer has improved over the past two decades, driven by innovations in detection of metastatic disease, biomarker characterization, and treatment. This review summarizes the latest progress in managing advanced states of this disease, spanning high risk biochemical recurrence, metastatic hormone sensitive prostate cancer (mHSPC), and metastatic castration resistant prostate cancer (mCRPC). Improved outcomes for patients have been seen with earlier use of androgen receptor pathway inhibitors in the setting of high risk biochemical recurrence and mHSPC. Meanwhile, individuals with mCRPC now represent a more diverse population, differentiated by both their previous treatments and other biological features. Advanced imaging and genomic biomarkers improve patient selection and permit more personalized therapy. Landmark clinical trials and meta-analyses have established and/or refined the role of chemotherapy, poly-ADP ribose polymerase (PARP) inhibitors, and 177 Lu-PSMA-617 in this disease space. Finally, as patients with prostate cancer are living longer, the review focuses on understanding and managing potential adverse events, including cardiac and hematologic toxicity and bone health.

Background Youth-onset diabetes mellitus (DM) is an increasing public health concern, especially among adolescents facing socioeconomic challenges. Food insecurity (FI), a key social determinant of health, has been linked to adverse metabolic outcomes, but its association with youth-onset DM and the role of preventive care remain unclear. Methods Using repeated cross-sectional data from the National Survey of Children’s Health (2016–2021), we examined the association between FI status (food secure, mild FI and moderate-to-severe FI) and youth-onset DM among adolescents aged 10–17 years. We also evaluated whether usual preventive care modified this association. Propensity score weighting (PSW) was used to reduce the imbalance of measured confounders across FI groups. These weights were applied in the least absolute shrinkage and selection operator logistic regression for variable selection and in the final multivariable logistic regression models. Results In the PSW analysis of 66 560 adolescents, 432 had youth-onset DM. Moderate-to-severe FI was associated with higher odds of DM than food-secure adolescents (OR 1.55, 95% CI 1.35 to 1.77; p<0.0001), whereas mild FI was not associated with youth-onset DM. Among adolescents with preventive care visits, both mild FI (OR 1.19, 95% CI 1.04 to 1.37; p=0.0126) and moderate-to-severe FI (OR 1.67, 95% CI 1.46 to 1.92; p<0.0001) were associated with higher odds of DM. Among those without preventive care visits, FI was associated with lower odds of having a reported DM diagnosis, especially in the moderate-to-severe FI group (OR 0.11, 95% CI 0.03 to 0.35; p=0.0002). Conclusions Moderate-to-severe FI was associated with youth-onset DM, and this relationship varied by access to preventive care. Adolescents with FI who lack regular preventive care may have fewer opportunities for DM diagnosis. Public health strategies should integrate FI screening, equitable access to preventive services and culturally responsive approaches to chronic disease prevention.

ABSTRACT Following the introduction of meta‐analytic methodology into anatomical research, anatomical meta‐analyses have increased substantially. However, extremely high statistical heterogeneity is frequently observed in these studies, while its implications remain insufficiently discussed within anatomical research. The present study investigated the current state and patterns of heterogeneity in anatomical meta‐analyses and explored the interpretive implications of heterogeneity in anatomical evidence synthesis. A PubMed search was performed on May 21, 2026, using the title‐based search strategy: ((meta‐analysis[Title]) OR (meta analysis[Title])) AND (anatomy[Title]). Anatomical meta‐analyses focused on human structural anatomy were included. Reported I 2 values were extracted and descriptively analyzed by overall distribution and anatomical category. A total of 132 studies were identified, of which 61 anatomical meta‐analyses with analyzable heterogeneity data were included. The mean reported I 2 value was 95.27% (range 41%–100%), with a median I 2 of 98.77%. Most studies demonstrated extreme heterogeneity, with 86.9% reporting I 2 values exceeding 90%. Category‐specific analysis demonstrated consistently elevated heterogeneity across anatomical systems, including skeletal structures (mean I 2 = 99%), peripheral nerves (mean I 2 = 95%), and vascular anatomy studies (mean I 2 = 94.56%). Despite this, pooled prevalence estimates were frequently reported with highly precise numerical values and narrow confidence intervals. Extreme statistical heterogeneity is highly prevalent across anatomical meta‐analyses and appears to represent a widespread characteristic of anatomical synthesis research rather than an isolated statistical phenomenon. Although such heterogeneity likely reflects genuine biological and methodological variability, pooled anatomical estimates should be interpreted with caution, particularly when highly precise numerical estimates are reported despite substantial interstudy inconsistency. These findings highlight the importance of transparent heterogeneity reporting and anatomically stratified approaches in future anatomical meta‐analyses.

Introduction: This study aimed to develop and evaluate a deep learning (DL) deblurring algorithm for computed tomography (CT). Phantom testing assessed whether DL deblurring could improve CT image quality and coronary artery calcium (CAC) detectability. Materials and Methods: The algorithm consisted of 2 sequential convolutional neural networks (CNNs): one for denoising and one for deblurring. After deblurring, the estimated noise from the first model was reintroduced to preserve image texture. The CNN denoising model was trained to map high-noise images to routine low-noise ones. The CNN deblurring model was trained using natural images—blurred inputs paired with sharp targets. To assess performance, an anthropomorphic phantom with 100 small calcifications was scanned on a CT system using a CAC scoring protocol. Data were acquired at clinical and high doses, then reconstructed with and without DL deblurring, using 25% of the maximum denoising strength. Detectability was defined as the ability to calculate an Agatston score (≥3 adjacent voxels >130 HU). Results: At high dose, CAC detectability increased from 39% (standard reconstruction) to 48% with deblurring. Similar detectability (39%) was achieved at the routine dose with deblurring, representing a 6% improvement compared with the original routine dose data. Discussion: Quantitative results from phantom testing demonstrate that DL deblurring can improve image quality, based on a clinically relevant, task-based CAC detection metric at clinical dose levels.

Background Congenital anomalies of the urogenital system frequently coexist with renal abnormalities due to their shared origin from the intermediate mesoderm. Skeletal anomalies may also be associated, reflecting overlapping embryological development of mesodermal derivatives. Such multisystem involvement can pose a diagnostic challenge, particularly when identified incidentally. Case Presentation We report a 15-year-old female who presented with abdominal swelling and pain, later diagnosed as an umbilical hernia. During radiological evaluation, incidental findings of right renal agenesis, scoliosis, and a bicornuate uterus were identified. The patient underwent successful surgical management of the umbilical hernia. This case highlights the importance of recognizing coexisting anomalies and adopting an integrated approach in evaluation and management. Conclusion This case highlights the need for a systematic, bidirectional evaluation when a congenital anomaly is identified, particularly involving the renal, genital, and skeletal systems. A syndromic perspective is essential to avoid missed diagnoses, facilitate appropriate follow-up, and anticipate long-term implications in such patients.

Breathing is a physiological process that extends beyond gas exchange, linking neural, cardiovascular, glymphatic, and autonomic systems. This narrative review summarizes how breathing-based practices modulate physiological processes in the body and brain, emphasizing their applicability in clinical care. Regulating the pace and depth of breathing, particularly with relaxed exhalation, may engage vagal pathways that lower heart rate and blood pressure and promote a shift toward increased parasympathetic tone relative to sympathetic activity. Neuroimaging studies show that controlled breathing reduces activity in stress-related brain regions while enhancing networks supporting calm attention and emotional steadiness. Changes in breathing depth also influence cerebrospinal fluid movement, though direct evidence of waste clearance in humans is lacking. This review identifies populations requiring caution, including individuals with panic symptoms, significant cardiopulmonary disease, or pregnancy. Clinicians should distinguish between breathing-only and multimodal protocols when interpreting research findings, as combined interventions preclude attribution of benefit to breathing alone. Study design quality, particularly the use of active rather than waitlist controls, should inform how effect sizes are interpreted. Breathing practices are not a replacement for medical treatment but may represent accessible, low-cost adjuncts for stress reduction and cardiovascular regulation.