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This study explored the use of lucuma fruit powder in an ice cream formulation for the US market. Six ice cream prototypes were developed using five different lucuma fruit powder variants. A central location test was conducted with frequent ice cream consumers (n = 106) to assess acceptance, attribute intensity rating, ideal intensity levels, and purchase intent against a control sample with caramel flavor. The mean overall liking score for all lucuma ice creams was moderate. The overall, aroma, and flavor liking scores were significantly higher (p < 0.05) for lucuma ice cream samples, whereas the control sample was liked significantly more for texture. The Terrasoul variant of lucuma ice cream was the most liked among all samples, and the control was liked the least. Only the Terrasoul ice cream sample was successful in delivering significantly strong caramel, fruit, and sweet flavor levels; the other lucuma ice cream samples were more comparable to the control. The inclusion of lucuma powder increased powdery mouthfeel perception, negatively impacting texture liking. Consumers perceived all ice cream samples to be weak in flavor and fell short of delivering ideal levels. The US consumers had low–moderate food neophobia scores for lucuma fruit, with 57% showing interest in buying lucuma ice creams. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study was to develop a predictive model to evaluate pretreatment patient-specific quality assurance (QA) based on treatment planning parameters for stereotactic body radiation therapy (SBRT) for liver carcinoma. Materials and Methods: We retrospectively selected 180 cases of liver SBRT treated using the volumetric modulated arc therapy technique. Numerous parameters defining the plan complexity were calculated from the DICOM-RP (Radiotherapy Plan) file using an in-house program developed in MATLAB. Patient-specific QA was performed with global gamma evaluation criteria of 2%/2 mm and 3%/3 mm in a relative mode using the Octavius two-dimensional detector array. Various statistical tests and multivariate predictive models were evaluated. Results: The leaf speed (MILS) and planning target volume size showed the highest correlation with the gamma criteria of 2%/2 mm and 3%/3 mm (P < 0.05). Degree of modulation (DoM), MCSSPORT, leaf speed (MILS), and gantry speed (MIGS) were predictors of global gamma pass rate (GPR) for 2%/2 mm (G22), whereas DoM, MCSSPORT, leaf speed (MILS) and robust decision making were predictors of the global GPR criterion of 3%/3 mm (G33). The variance inflation factor values of all predictors were <2, indicating that the data were not associated with each other. For the G22 prediction, the sensitivity and specificity of the model were 75.0% and 75.0%, respectively, whereas, for G33 prediction, the sensitivity and specificity of the model were 74.9% and 85.7%%, respectively. Conclusions: The model was potentially beneficial as an easy alternative to pretreatment QA in predicting the uncertainty in plan deliverability at the planning stage and could help reduce resources in busy clinics. [ABSTRACT FROM AUTHOR]

Objective:Visual acuity (VA) testing is crucial for early intervention in cases of visual impairment, especially in rural health care. This study aimed to determine the potential of a web-based VA test (PocDoc) in addressing the unique health care needs of rural areas through the comparison in its effectiveness against the conventional VA test in identifying visual impairment among an Indian rural population. Methods:Prospective comparative study conducted in December 2022 at a tertiary referral eye care center in central India. We evaluated all patients with the PocDoc VA tests using three device types, and the conventional VA test. Bland–Altman plot (BAP) compared PocDoc and conventional VA tests. Fisher's exact tests evaluated associations between categorical parameters. Kruskal–Wallis tests followed by post hoc Dunn's tests identified association between categorical parameters and numerical parameters. Results:We evaluated 428 patients (792 measurements of VA) with mean age 36.7 (±23.3) years. PocDoc resulted in slightly worse VA scores (mean logMAR: 0.345) than conventional (mean logMAR: 0.315). Correlation coefficient between the conventional and PocDoc logMAR VA values was rho = 0.845 and rho2 = 0.7133 (p = 6.617 × 10–215; adjusted p = 2.205 × 10–214). Most data points fell within the interchangeable range of ±0.32 on BAP. Difference between the two methods increased with higher logMAR values, indicating poorer agreement for worse VA scores. Conclusions:Identifying and addressing the unique health care needs of rural populations is critical, including access to appropriate and effective VA testing methods. Validating and improving VA testing methods can ensure early intervention and improve the quality of life for individuals with visual impairment. [ABSTRACT FROM AUTHOR]