Citations

Background/Objectives: Multi-gene, multi-cancer, hereditary cancer risk screenings may be useful in cancer prevention and treatment, not only for cancer patients but also for patients’ family members. If genetic cancer screening is to have the widest possible benefit, it must be extended into diverse cancer care settings that serve diverse patient communities, providing cancer patients and their relatives with individualized cancer risk evaluations. Little research, to date, has examined the impact of extending multigenic cancer screening into diverse settings. Without empirical data characterizing the support needs of cancer patients and their family members, we may not adequately satisfy the needs of all patients and risk exacerbating existing disparities in cancer care and outcomes. Methods: We examined patient perspectives on the sharing of genetic results with at-risk family members by surveying a racially diverse sample of cancer patients receiving a multi-gene, multi-cancer risk screen in a community hospital setting. Results: In a survey of 230 cancer patients, we found that intent to share results with family members was high but varied across family member types. More respondents planned to disclose results to at least one sister (82.5%) compared to at least one brother (73.1%). Over one-fourth of participants (27.4%) were either uncertain about sharing or intended to withhold their genomic screening results from at least one at-risk family member eligible for cascade testing. Participants were more likely to withhold their results from a sibling than from a child. Furthermore, intent to share across all family member types was lower if probands failed to identify at least one benefit to sharing. Conclusions: Understanding factors associated with decisions to share results with at-risk relatives in diverse patient populations can help clinicians support cascade genetic cancer screenings in diverse communities and settings.

Adaptive radiotherapy (ART) workflows are increasingly adopted to achieve dose escalation and tissue sparing under dynamic anatomical conditions. However, recontouring and time constraints hinder the implementation of real-time ART workflows. Various auto-segmentation methods, including deformable image registration, atlas-based segmentation, and deep learning-based segmentation (DLS), have been developed to address these challenges. Despite the potential of DLS methods, clinical implementation remains difficult due to the need for large, high-quality datasets to ensure model generalizability. This study introduces an InterVision framework for segmentation. The InterVision framework can interpolate or create intermediate visuals between existing images to generate specific patient characteristics. The InterVision model is trained in two steps: (1) generating a general model using the dataset, and (2) tuning the general model using the dataset generated from the InterVision framework. The InterVision framework generates intermediate images between existing patient image slides using deformable vectors, effectively capturing unique patient characteristics. By creating a more comprehensive dataset that reflects these individual characteristics, the InterVision model demonstrates the ability to produce more accurate contours compared to general models. Models are evaluated using the volumetric dice similarity coefficient (VDSC) and the Hausdorff distance 95% (HD95%) for 18 structures in 20 test patients. As a result, the Dice score was 0.81 ± 0.05 for the general model, 0.82 ± 0.04 for the general fine-tuning model, and 0.85 ± 0.03 for the InterVision model. The Hausdorff distance was 3.06 ± 1.13 for the general model, 2.81 ± 0.77 for the general fine-tuning model, and 2.52 ± 0.50 for the InterVision model. The InterVision model showed the best performance compared to the general model. The InterVision framework presents a versatile approach adaptable to various tasks where prior information is accessible, such as in ART settings. This capability is particularly valuable for accurately predicting complex organs and targets that pose challenges for traditional deep learning algorithms.

Summary Introduction Obesity is characterized by chronic low‐grade inflammation. This study presents an updated systematic review and meta‐analysis on the effect of caloric restriction (CR) and intermittent fasting (IF) on plasma inflammatory biomarkers (C‐reactive protein [CRP], tumor necrosis factor [TNF]‐alpha, and interleukin [IL]‐6) in individuals with obesity/overweight compared with unrestricted or ad libitum feeding. Methods PubMed, Web of Science, and SCOPUS databases were searched for randomized controlled trials (RCTs) reporting inflammatory biomarkers after at least 8 weeks of intervention. Standardized mean differences (SMDs) were calculated using a fixed effect model. Heterogeneity was determined using I 2 statistics. Sensitivity analysis was conducted using the “leave‐one‐out” approach. Results Relatively few RCTs have investigated the effect of IF on inflammatory biomarkers than with CR (6 vs. 15). Analysis of pooled data showed that CR was associated with a significant reduction in CRP with low heterogeneity (SMD −0.15 mg/L [95% CI −0.30 to −0.00], p = 0.04; I 2 = 0%, p = 0.69) and IL‐6 with high heterogeneity (SMD −0.31 pg/mL [95% CI −0.51 to −0.10], p = 0.004; I 2 = 73%, p = 0.001). IF was associated with a significant decrease in TNF‐alpha with moderate heterogeneity (SMD −0.32 pg/mL [95% CI −0.63 to −0.02], p = 0.04; I 2 = 44%, p = 0.13). No associations were detected between IF and CRP or IL‐6 and CR and TNF‐alpha. Conclusion CR may be more effective in reducing chronic low‐grade inflammation than IF. However, there were some concerns regarding the included studies' randomization and allocation sequence concealment process.

Abstract Objectives The red blood cell (RBC) D antigen is highly immunogenic, and anti-D alloimmunization can cause hemolytic transfusion reactions and hemolytic disease of the fetus and newborn. This study examined how RhD-negative patients who required packed RBCs (pRBCs) were handled during the COVID-19 pandemic and whether policies and practices on RhD-positive pRBC allocation to RhD-negative patients changed. Methods The Association for the Advancement of Blood & Biotherapies (AABB) Clinical Hemotherapy Subsection distributed a 17-question survey to physician AABB members to elucidate the impact of the COVID-19 pandemic on the policies and practices governing the provision of RhD-positive pRBCs to RhD-negative patients. Results There were 215 respondents who started the survey, but only 104 answered all the questions. Most institutional policies (130/155 [83.87%]) and personal practices (100/126 [79.37%]) on pRBC selection did not change during the COVID-19 pandemic. The practice of switching back to RhD-negative pRBCs after administration of RhD-positive pRBCs is variable. More than half of respondents (56/104 [53.85%]) reported offering Rh immunoglobulin to any Rh-negative patients who received RhD-positive pRBCs. Conclusions Despite RhD-negative pRBC supply challenges, most institutional policies and personal practices on when to provide RhD-positive pRBCs to RhD-negative patients did not change during the pandemic.

AbstractObjectiveThe aim of this study was to evaluate the feasibility and plan quality of spot‐scanning proton arc therapy (SPArc) using a synchrotron‐accelerator‐based proton therapy system compared to intensity‐modulated proton therapy (IMPT).ApproachFive representative disease sites, including head and neck, lung, liver, brain chordoma, and prostate cancers, were retrospectively selected. Both IMPT and SPArc plans are generated with the HITACHI ProBEAT PBS system's minimum MU constraints and physics beam model. The SPArc plans are generated with 2.5° sampling frequency. The static delivery time was simulated based on the previously published synchrotron delivery sequence model, and the dynamic delivery time was simulated using a proton arc gantry mechanical model integrated with the synchrotron delivery sequence. Both dosimetric plan quality and delivery efficiency are evaluated.Main resultsA superior plan quality is reached compared with the IMPT plans generated for the same disease site. However, a relatively prolonged static and dynamic delivery time post new challenge, as static time increased by 49.22% and dynamic time 59.10% on average.SignificanceThis study presents the first simulation results of delivering the SPArc plans using a synchrotron‐accelerated proton therapy system. The result shows its feasibility and limitations, which could guide future development.

AbstractApixaban is a widely used direct oral anticoagulant that is recommended over warfarin therapy for many clinical indications. In patients with atrial fibrillation, dose reductions are recommended for patients with advanced age (≥80 years), low weight (≤60 kg) or elevated serum creatinine (≥1.5 mg/dL), but there is no routine laboratory monitoring necessary for long term‐use. Furthermore, apixaban dose reductions due to renal dysfunction are not recommended when treating acute venous thromboembolism. Apixaban‐calibrated anti‐Xa assays are readily available at some medical centres, and they may be of clinical utility in certain circumstances such as in patients with renal insufficiency, medication adherence assessment, periprocedural planning, extremes in body weight and advanced age. Here, we describe the case of an elderly patient with chronic kidney disease taking apixaban for acute pulmonary embolism. The patient had an unanticipated prolonged apixaban half‐life, with detectable apixaban‐calibrated anti‐Xa levels for >10 days after the last administered dose, which delayed a necessary surgical intervention by >1 week. This case is an example of appropriately using apixaban‐calibrated anti‐Xa levels to guide therapeutic decision making in perioperative planning.

AbstractStatins are the first line of treatment for both primary and secondary prevention of atherosclerotic cardiovascular disease. Despite the positive effects of statins on cardiovascular events, not all patients can use them at an optimized dose. The reason for this is the skeletal muscle side effects, termed statin‐associated muscle symptoms (SAMS). Despite extensive research, the precise pathophysiology of SAMS remains unclear and multiple mechanisms may contribute to this phenomenon. Various therapeutic options are available for the management of SAMS, ranging from rechallenging with the same or a different statin to utilizing non‐statin therapeutic alternatives in patients intolerant to statins. However, the lack of consensus on the definition of SAMS, the absence of a definitive diagnostic test, and lack of a universally accepted management algorithm pose a great challenge in dealing with this entity. This review aims to explore the various pathophysiological mechanisms involved in SAMS and understand the difference between self‐limited toxic myopathy and immune‐mediated myopathy requiring immunomodulatory therapy. The conundrum of statin withdrawal, tapering, and rechallenge in SAMS will also be explored in detail along with the newer non‐statin therapies that are available.

This case series includes patients with hidradenitis suppurativa (HS) who underwent solid organ transplant with subsequent transplant-related immunosuppression. Most patients in this case series experienced improvement of their HS following the initiation of transplant immunosuppressive treatment, particularly with the majority on tacrolimus and mycophenolate mofetil.