Citations

SummaryDespite the availability of evidence‐based interventions to improve binge eating, Black women have some of the lowest rates of access to care for eating disorders. Innovation is needed to offer accessible and culturally relevant treatment options. To this end, using an open trial design, we investigated the feasibility and acceptability of a group‐based, appetite awareness training (AAT) + lifestyle modification (LM) programme in Black women at risk for BED in a primary care setting. Participants (n = 20) were Black women recruited from a family medicine centre affiliated with a local public university, and who reported at least two binge eating episodes in the last 28 days. Participants completed a 16‐session AAT + LM programme over 4 months. Key outcomes were objective binge eating (assessed by the EDE and the EDE‐Q), body dissatisfaction, and weight change, all assessed at baseline, four (post‐treatment) and 6 months (2‐month follow‐up). Ninety‐five percent of participants completed assessments at post‐treatment and attended nearly 60% of intervention sessions. Among completers (n = 19), body dissatisfaction and objective binge eating decreased from baseline to post‐treatment and this decrease was maintained at the 2‐month follow‐up. In exit interviews, participants reported programme satisfaction. Providing training in appetite awareness combined with lifestyle modification principles may be useful in the treatment of body dissatisfaction and binge eating among Black women.

Myxofibrosarcomas (MFS) present as slowly enlarging superficial masses in elderly patients. Even though these tumors fail to exhibit a distinct immunophenotype, diagnosis is straightforward when they present in subcutaneous tissue. Intramuscular MFS, however, are more challenging to diagnose as the differential also includes dedifferentiated liposarcoma with myxoid features. The vast majority of dedifferentiated liposarcomas show MDM2 amplification, whereas limited data exists as to the MDM2 status of MFS. We sought to explore the rate of MDM2 amplification in cases of classic MFS. Our archives were searched for MFS; only subcutaneous well-sampled resections were included. FISH for MDM2 amplification was performed on each tumor. A cohort of myxoid dedifferentiated liposarcoma resections was studied for comparison. Twenty-two MFS arose in patients aged 44 to 85 years. All tumors contained an infiltrative population of atypical cells embedded in a myxoid stroma with curvilinear blood vessels. MDM2 amplification by FISH was identified in 3 (of 22; 14%) tumors. Available follow up on 17 patients (range 1-96 months; median 13 months) revealed 6 patients with local recurrence and 1 with distant metastasis. Of 3 patients with MDM2- amplified MFS, 1 experienced recurrence and died of unrelated causes, while the second was alive without disease 12 months after diagnosis. Even though the rate of MDM2 amplification by FISH in MFS appears to be low, a subset of cases may show this genetic alteration, which pathologists should be aware of to avoid misclassification as myxoid dedifferentiated liposarcomas. Further studies are necessary to determine if amplification status adds prognostic value.

Abstract An efficient 2-D continuum finite element method (FEM), including the rigid body algorithm and our previously developed contact element, was formulated for the contact stress analysis of articular joints. This FEM can calculate the contact pressure distribution on articular surfaces and stress distribution inside of cartilage. This method can model geometric and material nonlinearities for both the static and dynamic situations. The major advantage of this method is that only the soft cartilage requires finite element (FE) mesh, while the bony structure can be modeled as a rigid body due to its relatively rigid nature. Since much less degrees of freedom are now required in FEM, much faster computing speed can be achieved.

Abstract The true cross-sectional shape and dimensions of a coronary arterial wall with an atherosclerotic plaque obtained at postmortem, Fig. 1, is utilized for dilation rupture study related to the balloon angioplasty process. Plane-strain, finite-element analysis [1,2] of the shape changes and stress distributions of the cross section are performed by an incremental loading approach. The location of rupture is predicted by a dilation study ranging from 10 kPa to 120 kPa (about 1.2-fold of atmospheric pressure).

Chronic migraine (CM) is a neurological disease characterized by frequent migraine attacks that prevent affected individuals from performing daily activities of living, significantly diminish quality of life, and increase familial burden. Before onabotulinumtoxinA was approved for CM, there were few treatment options for these seriously disabled patients and none had regulatory approval. The terminology and recognition of CM evolved in parallel with the onabotulinumtoxinA clinical development program. Because there were no globally accepted classification criteria for CM when onabotulinumtoxinA was in development, the patient populations for the trials conducted by Allergan were determined by the Allergan migraine team in collaboration with headache scientists and clinicians. These trials and collaborations ultimately led to improvements in CM classifications. In 2010, onabotulinumtoxinA became the first medication and first biologic approved specifically to prevent headaches in patients with CM. Approval was based on 2 similarly designed phase 3, double-blind, randomized, placebo-controlled, multicenter clinical studies. Both studies showed significantly greater improvements in mean change from baseline in headache-day frequency in patients with CM receiving onabotulinumtoxinA compared with those receiving placebo. The safety and effectiveness of onabotulinumtoxinA have been established globally in >5000 patients with CM with or without medication overuse treated in clinical and observational studies. Benefits also include improvements in quality of life, fewer psychiatric comorbidities, and reduced healthcare resource utilization. Across studies, onabotulinumtoxinA was well tolerated; adverse events tended to be mild or moderate in severity and to decline over subsequent treatment cycles.

Abstract Objective . UNet-based deep-learning (DL) architectures are promising dose engines for traditional linear accelerator (Linac) models. Current UNet-based engines, however, were designed differently with various strategies, making it challenging to fairly compare the results from different studies. The objective of this study is to thoroughly evaluate the performance of UNet-based models on magnetic-resonance (MR)-Linac-based intensity-modulated radiation therapy (IMRT) dose calculations. Approach . The UNet-based models, including the standard-UNet, cascaded-UNet, dense-dilated-UNet, residual-UNet, HD-UNet, and attention-aware-UNet, were implemented. The model input is patient CT and IMRT field dose in water, and the output is patient dose calculated by DL model. The reference dose was calculated by the Monaco Monte Carlo module. Twenty training and ten test cases of prostate patients were included. The accuracy of the DL-calculated doses was measured using gamma analysis, and the calculation efficiency was evaluated by inference time. Results . All the studied models effectively corrected low-accuracy doses in water to high-accuracy patient doses in a magnetic field. The gamma passing rates between reference and DL-calculated doses were over 86% (1%/1 mm), 98% (2%/2 mm), and 99% (3%/3 mm) for all the models. The inference times ranged from 0.03 (graphics processing unit) to 7.5 (central processing unit) seconds. Each model demonstrated different strengths in calculation accuracy and efficiency; Res-UNet achieved the highest accuracy, HD-UNet offered high accuracy with the fewest parameters but the longest inference, dense-dilated-UNet was consistently accurate regardless of model levels, standard-UNet had the shortest inference but relatively lower accuracy, and the others showed average performance. Therefore, the best-performing model would depend on the specific clinical needs and available computational resources. Significance . The feasibility of using common UNet-based models for MR-Linac-based dose calculations has been explored in this study. By using the same model input type, patient training data, and computing environment, a fair assessment of the models’ performance was present.

Purpose of review Over the past year, loss of appetite in patients with cancer has continued to be an area of active investigation. This review provides an update of recently published findings. Recent findings Despite the emergence of new cancer therapeutic agents, this symptom of loss of appetite continues to trouble patients, and it continues to be associated with poor survival. Recent preclinical research promises to lead to newer approaches and newer, more effective palliative agents. Recent clinical research shows that agents such as olanzapine, anamorelin, and cannabis either do or might palliate this symptom. Summary Loss of appetite in patients with cancer remains an important area of clinical and research focus. Recent published data provide greater clarity with respect to how to palliate this symptom. Today, although clinicians have more options to palliate cancer-associated loss of appetite than ever before, questions remain unanswered about how to palliate this symptom optimally and how to improve the quality of life of patients who suffer from it.