Citations

Introduction Craniofacial hyperplasia is a disorder where the face and head do not fully develop. This leads to difficulties in airway management in those undergoing general anesthesia (GA), requiring consideration in anesthetic planning with GA and intubation versus approaches with regional/spinal anesthesia. Case Presentation A 54-year-old male (45 kg, 172.7 cm) presented for a penile implant insertion for severe erectile dysfunction following radical prostatectomy. He was classified as ASA physical status class III. Management and Outcomes Pertinent medical history included craniofacial hypoplasia from childhood surgical interventions and radiation for sinus cancer (rhabdomyosarcoma), moderate mitral regurgitation, mild tricuspid regurgitation, pulmonary hypertension, recurrent esophageal strictures, and anemia. Spinal anesthesia was selected over GA. Airway complications were avoided, and cardiopulmonary stability was preserved while maintaining adequate analgesic coverage. Conclusion Craniofacial hypoplasia patients require individualized anesthesia planning that anticipates complications. Spinal anesthesia can be used in these patients to avoid airway and hemodynamic complications.

Objectives: To summarize recent high-quality trials and provide an update to the original 2022 American College of Radiology Appropriate Use Criteria for Treatment of Locoregional Gastric Adenocarcinoma. This multi-specialty-led committee included gastrointestinal radiation and medical oncology, gastroenterology, radiology, and surgical oncology. Methods: Using the population, intervention, comparator, outcome, timing, and study design framework, the evidence was assessed using Cochrane and PRISMA 2020 methodology. Eligible studies included prospective Phase II/II trials and select retrospective studies published between 5/1/2020 and 8/1/2025 in the Embase, Medline, and Pubmed databases. Study type and quality were assessed. Well-established RAND-UCLA consensus methodology (modified Delphi) was used to rate the appropriateness of the treatment options. Results: ARS AUC recommendations include adjuvant FLOT chemotherapy for localized gastric adenocarcinoma after neoadjuvant FLOT and surgery, poCT or perioperative chemoimmunotherapy for localized gastric adenocarcinoma, adjuvant chemotherapy +/− CRT for localized gastric adenocarcinoma that undergoes upfront surgery, and systemic therapy alone for localized gastric adenocarcinoma in a medically inoperable patient. Conclusions: This updated ARS AUC summary provides guidelines for the multimodality treatment of resectable gastric adenocarcinoma.

Background and Objectives: Despite wide agreement on the importance of building research capacity to the specialty of family medicine, no standard exists for defining or measuring that growth. Previous work to address this gap yielded the Productivity and Capacity Evaluation in Research (PACER) Tool, a list of quantitative research metrics grouped into seven categories. We surveyed family medicine department chairs to understand which categories of PACER metrics they considered most valuable in evaluating their department’s research capacity. We also aimed to compare reported research capacity in 2024 with answers given by family medicine department chairs in 2021. Methods: A cross-sectional survey administered through the Council of Academic Family Medicine Educational Research Alliance (CERA) was used to gather information from family medicine department chairs in the United States and Canada. One question asked chairs to evaluate their department’s research capacity, and nine questions assessed the relative importance of the seven PACER Tool categories. Results: A total of 218 surveys were delivered, with 111 (50.9%) completed. Survey results demonstrated that program chairs determined funding to be the most impactful category. We found no clear trend in the second most important or least important categories. Results also showed no statistically significant change in reported research capacity between 2021 and 2024. Conclusions: Funding emerged as the category of research metrics viewed as most important by the greatest number of family medicine department chairs. Although other categories of metrics also were viewed as important, this survey demonstrated no clear pattern of their relative importance in this population.

CEUS is a safe and cost-effective means for characterization of indeterminate renal masses, with performance equal to or better than that of contrast-enhanced CT or MRI for stratification and surveillance of cystic renal masses and discrimination of benign avascular cysts from solid renal masses.

Neuromodulation is becoming a common treatment strategy for patients with drug-resistant epilepsy who are not candidates for resective surgery. Responsive neurostimulation can effectively reduce seizure burden, however it remains unclear which neural signals are most important for triggered stimulation. Furthermore, the high-dimensional parameter space remains systematically underexamined. As more patients become candidates for neurostimulation, clinical teams will need to decide on the optimal site and stimulation program for therapeutic neuromodulation. In this review, we highlight how recent insight into the biological rhythms of epilepsy may pair with personalization protocols in the emerging field of neuropsychiatric neuromodulation. Finally, we discuss future directions for epilepsy neuromodulation, specifically how machine learning can offer clinical teams actionable feedback on neuromodulation efficacy.

BACKGROUND We constructed multi-trait polygenic risk scores (PRSs) predicting chronic obstructive pulmonary disease (COPD) and exacerbations, validated their performance in diverse cohorts, and identified PRS-related proteins for potential therapeutic targeting. METHODS PRSmix + , a multi-trait PRS framework, is used to train a composite PRS (PRS multi ) in COPDGene non-Hispanic White participants ( n = 6,647). Associations of PRS multi with COPD status (GOLD 2–4 vs. GOLD 0 or ICD) and exacerbation frequency were tested in COPDGene African American ( n = 2,466), ECLIPSE ( n = 1,858), Mass General Brigham Biobank ( n = 15,152), and All of Us ( n = 118,566). Protein prediction models were applied to GWAS summary statistics from traits contributing to PRS multi and were validated with proteomic data in COPDGene ( n = 5,173) and UK Biobank ( n = 5,012). RESULTS PRSmix + selected 7 traits for PRS multi . In multivariable models, PRS multi was associated with COPD status (meta-analysis random effects [RE] OR 1.58 [95% CI: 1.28–1.94]) and exacerbation frequency (meta-analysis RE β 0.21 [95% CI: 0.11–0.31]), with higher effect sizes observed in smoking-enriched cohorts. PRS multi outperformed traditional single-trait PRS in all tested cohorts. Using protein prediction models, we identified 73 proteins associated with the PRSs that were also validated with measured protein levels in COPDGene and UK Biobank. Of these proteins, 25 were linked to approved or investigational drugs. Notable targets include RAGE/sRAGE, IL1RL1, and SCARF2, all implicated in COPD pathogenesis and exacerbations. CONCLUSIONS Multi-trait PRS improves prediction of COPD and exacerbation risk. Integration with proteomic data identifies druggable protein targets, offering a promising avenue for precision medicine in COPD management. TRIAL REGISTRATION COPDGene: ClinicalTrials.gov NCT00608764; ECLIPSE: ClinicalTrials.gov NCT00292552.

Abstract Background Proton pencil beam scanning (PBS) enables highly conformal dose distributions; however, its lateral dose fall‐off (penumbra) can be compromised by the use of range shifters (RSs) and increased air gaps. In PBS for head and neck regions, where critical organs at risk (OARs) are frequently adjacent to the target, penumbra degradation may lead to increased OAR doses or suboptimal target coverage. The integration of a dynamic multi‐leaf collimator (dMLC), which adjusts leaf positions at each energy layer, has been shown to improve dose conformity in single‐field uniform dose (SFUD) delivery. In parallel, intensity‐modulated proton therapy (IMPT) offers enhanced dose shaping over SFUD by modulating beam intensity across multiple fields and does not require a single beam to encompass the entire target volume, providing greater flexibility in utilizing dMLC capabilities. Purpose This study integrates dMLC into IMPT for head and neck cancer and proposes a novel leaf positioning strategy. We evaluate the dosimetric impact of this approach and assess its potential clinical benefits in terms of target coverage and OAR sparing. Methods Treatment plans were retrospectively created for five patients with head and neck cancer. For each patient, IMPT plans with three beam angles were generated using three techniques: (1) uncollimated PBS, (2) dMLC cover , in which the MLC encloses the target cross‐section at each energy layer, and (3) dMLC block , in which the MLC actively blocks OARs and their distal regions. Dose‐volume histogram (DVH) metrics for the clinical target volume (CTV) and OARs were evaluated, including a total of 21 perturbed scenarios that combined ± 2 mm setup uncertainties (7 scenarios) and ± 3.5% range uncertainties (3 scenarios). The accuracy of dose calculations was validated by comparing calculated and measured lateral dose distributions at the isocenter plane in water using two‐dimensional gamma analysis with a 2%/2 mm criterion. Results The integration of dMLC with IMPT significantly reduced the dose to surrounding OARs while maintaining comparable target coverage and robustness relative to uncollimated PBS. Notably, dMLC block demonstrated an enhanced dose‐sparing effect than dMLC cover , particularly for OARs surrounded by the target. While maintaining comparable CTV D98% across three techniques, dMLC cover achieved the greatest reduction in the mean doses to the eyeballs and optic nerves, as well as in the D2% to the optic chiasm, brain, and brainstem in most cases. The gamma passing rate between calculated and measured doses for dMLC block exceeded 95% for all beams, confirming the accuracy of dose calculations involving complex leaf positions. Conclusions The combination of IMPT and dMLC provides notable dosimetric advantages, supporting its potential for clinical applications. Further validation across a broader range of cases is necessary to comprehensively assess its efficacy and safety, particularly with respect to leaf positioning accuracy and potential variations in biological effectiveness.