Changes In Quality Research Articles

Kinetics and mechanisms of thermal deterioration in silver carp (Hypophthalmichtys molitrix) surimi gel quality under high-temperature sterilization.

The gelation properties of surimi gel under various high temperatures (115, 118, and 121 °C) and sterilization intensities (F0 values of 3-7 min) were systematically investigated. A kinetic model detailed quality changes during heat treatment through mathematical analysis, elucidating mechanisms for gel quality degradation. Increased sterilization intensity significantly reduced the quality characteristics of surimi gel. Compared to the gel without sterilization treatment, when the sterilization intensity was increased to 7 min, the gel strength of the groups treated at 115 °C, 118 °C, and 121 °C decreased by 68.35%, 51.4%, and 51.71%, respectively, and the water-holding capacity decreased by 24.87%, 16.85%, and 22.5%, respectively. The hardness, chewiness, and whiteness of the gel also significantly decreased, and the changes in these indicators all conformed to a first-order kinetic model. Activation energy of 291.52 kJ mol-1 highlighted gel strength as the least heat-resistant. At equivalent sterilization intensities, 115 °C exhibited the poorest gel quality, followed by 121 °C, with 118 °C showing relatively better gel quality. Increased T22 and decreased PT22 suggested heightened water mobility and transition of immobilized water within the gel into free water. Protein degradation, weakened disulfide bonds and hydrophobic interaction, and protein conformation changes collectively led to a rough and incoherent gel network structure with large fissures, as verified by the results of scanning electron microscopy. Correlation analysis indicated potential for precise control over surimi gel quality by modulating physicochemical attributes. The outcomes may be beneficial to improve the production and quality control of ready-to-eat surimi-based products. © 2024 Society of Chemical Industry.

Enhanced Air Quality Prediction through Spatio-temporal Feature Sxtraction and Fusion: A Self-tuning Hybrid Approach with GCN and GRU

Accurate prediction of air quality change is essential for air pollution control and human daily mobility. Due to the strong spatial and temporal correlation of air quality changes, existing air quality prediction methods often face the problem of low prediction accuracy due to insufficient extraction of spatio-temporal features. In this paper, we proposed a self-tuning spatio-temporal neural network (ST2NN) to enhance air quality prediction. ST2NN model consisted of four modules. First, ST2NN model constructed a temporal feature extraction module and a spatial feature extraction module based on gated recurrent unit (GRU) and graph convolutional neural network (GCN), respectively, and the two feature extraction modules adopted a parallel structure, which could effectively extract the spatio-temporal features in data. Additionally, ST2NN model constructed a feature fusion module based on gating mechanism to delineate the contribution of spatio-temporal features to the predicted values. Further, ST2NN model constructed a Hyperband hyperparameter optimization module based on Hyperband optimization algorithm to automatically adjust the network hyperparameters. The structure of ST2NN model endowed it with excellent spatio-temporal feature extraction and parameter adaptability. ST2NN model was evaluated and compared with existing models, including convolutional long short-term memory neural network (ConvLSTM), GRU, combined convolutional neural network and long short-term memory neural network (CNN-LSTM), and GCN-LSTM for air quality index (AQI) prediction using data from twelve monitoring stations in Beijing, China. Across all four evaluation indexes, ST2NN model outperformed the comparative models, improving prediction accuracy by 0.51%-10.18% (measured using R2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${R}^{2}$$\\end{document}). From the experimental results, it can be seen that ST2NN model constructed from the perspective of spatio-temporal feature extraction has better prediction performance compared with the existing air quality prediction model, which provides a new method for air quality prediction and has certain application value.

Statistical analysis of water quality change by total maximum daily load policy stage

This study aimed to derive major pollutants for standard watersheds with relatively high pollution levels and identify their trends. Hence, the water quality index (WQI) and multivariate statistical techniques were used to analyze the water quality evaluation of standard watershed during the total maximum daily load (TMDL) policy period implemented since 2004. The WQI was calculated for 41 standard watersheds, divided into 14 main streams and 27 tributaries. Consequently, in the main stream, WQI decreased as it moved downstream after the MS5 site. In the tributary, WQI values were found to be low at TS11, TS15, TS16, and TS17 sites. However, the Mann–Kendall test results indicated that the overall WQI value was increasing, suggesting that the water quality of the study basin was improving as the TMDL policy phase progressed. Principal component analysis of the group with relatively low WQI among the standard watersheds revealed that water temperature, dissolved oxygen, total phosphorus, chemical oxygen demand, biochemical oxygen demand, and electrical conductivity were the main variables in the main stream cluster. In the tributary stream cluster, total phosphorus, dissolved oxygen, total suspended solids, total nitrogen, and electrical conductivity showed high loading values. This study proposed a series of methods to provide the basic data required for watershed management through detailed water quality assessment methods, statistical techniques for deriving major pollutants, and trend analysis of water quality evaluation.

Phytochemical characterization and quality evaluation of stirred goat milk yoghurt with added fruit and vegetable puree during storage

PurposeGoat milk yoghurt differs from cow milk yoghurt in that it has a different casein composition and content, which presents several technical challenges, including consistency with an appropriate flavor.Design/methodology/approachIn this study, the antioxidant potential and phytochemical profiling of the fruits (pineapple and papaya) and vegetable (carrot) extracts was evaluated and the effect of their purees on the quality and stability of stirred goat milk yoghurt (GMY) were investigated. The qualities of stirred GMY with carrot (CrY), pineapple (PaY) and papaya (PpY) purees were assessed against the product without puree (CY).FindingsThe carrot puree had the highest moisture, ash contents and pH value. The carrot extract had the highest DPPH radical scavenging activity, while the pineapple extract had the highest total phenolic value (1.59 µg GAE/g) and flavonoids content (0.203 µg CE/g). The scanning of all the puree extracts in GC-MS indicated that 5-hydroxymethylfurfural was a major component. The phytochemical quantification of the extracts through multiple reaction monitoring (MRM) against 16 compounds showed the presence of sinapic acid, cinnamic acid, pthalic acid, ferulic acid, 4-OH-benzoic acid, 3-OH-benzoic acid, p-coumaric acid, caffeic acid and vanillic acid in different quantities. The addition of purees and storage period had a significant (p < 0.05) effect on the moisture, pH, titratable acidity, syneresis, viscosity, color values and sensory properties of the products. In all the samples after 15 days of storage, Streptococcus thermophilus and Lactobacillus bulgaricus counts remained above the recommended level of 106CFU/g. Stirred GMY sample produced with pineapple puree showed a higher syneresis and viscosity, but the CrY sample demonstrated the highest antioxidant activity. The developed formulations remained stable with minimum changes in quality and sensory attribute during refrigerated storage for 10 days.Originality/valueThis study suggests that addition of fruit and vegetable improve the viscosity and sensory perception of the product with minimal use of synthetic flavor and preservatives.

Randomized Clinical Trial on Direct Composite and Indirect Ceramic Laminate Veneers in Multiple Diastema Closure Cases: Two-Year Follow-Up

In recent years, laminate veneer restorations should be considered as a minimally invasive treatment option for several aesthetic reasons. This study compared direct composite veneers’ and indirect ceramic laminate veneers’ longevity in multiple diastema closures. A total of 28 patients with a mean age of 26 years received 60 direct resin composite (Estelite Asteria; n = 14) and 60 indirect ceramic veneers (IPS e.max Press; n = 14) on the maxillary anterior teeth with diastema closure. Veneers were evaluated at baseline and thereafter every 6 months for up to 2 years using USPHS criteria. Data were analyzed with Fisher’s exact and chi-squared tests, while Kaplan–Meier curve was used to assess time to event. In total, three failures were observed in the form of debonding (n = 1) and fracture (n = 2) in the indirect ceramic veneers. No significant difference was observed between the survival rates of composite and ceramic veneers (Estelite Asteria: 93.4%, IPS e.max Press: 95%; p > 0.05). The overall survival rate was 94.2% (Kaplan–Meier). Staining (n = 11) and roughness (n = 14) were frequently observed for the resin composite veneers up to the final recall. Thereby, the preliminary results from this clinical trial comparing two veneer materials indicated that their survival rates were statistically similar. However, surface quality changes were more frequent in the composite veneer material.

Study protocol for a prospective, multicentre study of hypercortisolism in patients with difficult-to-control type 2 diabetes (CATALYST): prevalence and treatment with mifepristone.

Even with recent treatment advances, type 2 diabetes (T2D) remains poorly controlled for many patients, despite the best efforts to adhere to therapies and lifestyle modifications. Although estimates vary, studies indicate that in >10% of individuals with difficult-to-control T2D, hypercortisolism may be an underlying contributing cause. To better understand the prevalence of hypercortisolism and the impact of its treatment on T2D and associated comorbidities, we describe the two-part Hyper c ortisolism in P at ients with Difficult to Control Type 2 Di a betes Despite Receiving Standard-of-Care Therapies: Preva l ence and Treatment with Korl y m® (Mifepri st one) (CATALYST) trial. In part 1, approximately 1000 participants with difficult-to-control T2D (haemoglobin A1c (HbA1c) 7.5%-11.5% despite multiple therapies) are screened with a 1 mg dexamethasone suppression test (DST). Those with post-DST cortisol >1.8 µg/dL and dexamethasone level ≥140 ng/dL are identified to have hypercortisolism (part 1 primary endpoint), have morning adrenocorticotropic hormone (ACTH) and dehydroepiandrosterone sulfate (DHEAS) measured and undergo a non-contrast adrenal CT scan. Those requiring evaluation for elevated ACTH are referred for care outside the study; those with ACTH and DHEAS in the range may advance to part 2, a randomised, double-blind, placebo-controlled trial to evaluate the impact of treating hypercortisolism with the competitive glucocorticoid receptor antagonist mifepristone (Korlym®). Participants are randomised 2:1 to mifepristone or placebo for 24 weeks, stratified by the presence/absence of an abnormal adrenal CT scan. Mifepristone is dosed at 300 mg once daily for 4 weeks, then 600 mg daily based on tolerability and clinical improvement, with an option to increase to 900 mg. The primary endpoint of part 2 assesses changes in HbA1c in participants with hypercortisolism with or without abnormal adrenal CT scan. Secondary endpoints include changes in antidiabetes medications, cortisol-related comorbidities and quality of life. The study has been approved by Cleveland Clinic IRB (Cleveland, Ohio, USA) and Advarra IRB (Columbia, Maryland, USA). Findings will be presented at scientific meetings and published in peer-reviewed journals. NCT05772169.

Water quality ensemble prediction model for the urban water reservoir based on the hybrid long short-term memory (LSTM) network analysis

ABSTRACT The water quality of drinking water reservoirs directly impacts the water supply safety for urban residents. This study focuses on the Da Jing Shan Reservoir, a crucial drinking water source for Zhuhai City and the Macau Special Administrative Region. The aim is to establish a prediction model for the water quality of drinking water reservoirs, which can serve as a vital reference for water plants when formulating their water supply plans. In this research, after smoothing the data using the Hodrick-Prescott filter, we utilized the long short-term memory (LSTM) network model to create a water quality prediction model for the Da Jing Shan Reservoir. Simulation calculations reveal that the model's fitting degree is consistently above 60%. Specifically, the prediction accuracy for pH, dissolved oxygen (DO), and biochemical oxygen demand (BOD) in the water quality prediction model aligns with actual results by more than 70%, effectively simulating the reservoir's water quality changes. Moreover, for parameters like pH, DO, BOD, and total phosphorus, the relative forecasting error of the LSTM model is less than 10%, confirming the model's validity. The results of this study offer an essential model reference for predicting water quality for the Da Jing Shan Reservoir.

Effect of lemon juice on the chemical and microbiological quality of rainbow trout (Oncorhynchus mykiss) under refrigerated storage

<p>In recent years, there has been an increasing interest in using food additives from natural sources to improve taste, texture and extend the shelf-life of foodstuffs. The aim of this study was to examine the quality changes in trout treated with lemon juice for 21 days. Fish were divided into T0, T1, T2 and T3 and treated with 0, 1%, 2% and 3% lemon juice respectively. The lowest pH was found in T3 followed by T2, T1 and T0. A significant difference in total volatile base nitrogen (TVBN), peroxide value (PV) and free fatty acid (FFA) was observed between the control and treatments, with the lowest increase in T3 followed by T2. Total plate count (TPC) crossed the limit in T2 and T3 on the 21st day, whereas in control and T1, the permissible limit crossed on the 12th and 18th days respectively. The sensory panel rejected the control on the 12th day and T1 and T3 on the 18th day; however, T2 remained acceptable till the 21st day, thus showing the promising effect of lemon juice on the quality of trout fillet and thereby increasing the shelf-life of the product by nine days.<strong></strong></p>

Cooperative effects of three preservatives on physiological quality, endophytic bacterial community and volatile organic compounds of postharvest Codonopsis pilosula var. modesta roots.

Codonopsis pilosula var. modesta (CPVM) is a famous medicinal and edible plant of Campanulaceae. However, fresh CPVM roots (FCPVR) are prone to softening, browning and spoilage after concentrated harvesting in the main production area of Gansu Province, China in autumn, which poses great challenges to their large-scale storage and modern processing. In this study, effects of chitosan (CS), natamycin (NA) and modified atmosphere agent (MA) on the postharvest quality of FCPVR were first investigated. The roots after different treatments were stored at 4 °C and relative humidity of 75 ± 5% for 100 days. Their overall quality changes were evaluated from three perspectives: physiological quality, endophytic bacterial community and volatile organic compounds. The clustering heatmap and principal component analysis results indicated that CS (2 g kg-1), NA (0.5 g kg-1) and MA (5 g) had a synergistic effect on physiological quality. The roots in the CS + NA + MA group maintained better physiological state, effective components and antioxidant capacity throughout the storage process. On this basis, compared with room temperature storage, the relative abundance of the main spoilage bacterium Pseudomonas in the CS + NA + MA group roots decreased by 44% on the 100th day of storage. Furthermore, after CS + NA + MA composite treatment, the roots produced richer esters with fruit aroma during low-temperature storage. The CS + NA + MA composite treatment could maintain the physiological quality and flavor of FCPVR, inhibit spoilage by microbial contamination and maintain the optimal quality during low-temperature storage for up to 100 days. © 2024 Society of Chemical Industry.

Macroinvertebrate response to run‐of‐river hydropower tailrace inflow: Spatial assessment of community and traits

AbstractRun‐of‐river (R‐O‐R) hydropower dams introduce two discontinuities in the river: the dam and the tailrace. Discontinuities can lead to changes in the water quality that may affect the survival of aquatic macroinvertebrates, depending on their traits. We investigated the invertebrate assemblage and community‐level traits in an urban river influenced by a small hydropower tailrace in Hokkaido, Japan. As a result of the tailrace inflow to the main channel, the bypassed reach was warmer, and the areas below the confluence were colder. Temperature was a consistent factor affecting the distribution of indicator taxa and of the five major taxa that contributed the most to dissimilarity, but other environmental factors also showed significant effects. At the community level, the weighted mean of taxa with warm preference showed a significant positive relationship with temperature, but taxa with cold preference did not appear to be filtered by the cold water delivered by the tailrace. However, sensitive taxa such as Ephemerella have already started showing negative responses to temperature. The observed distribution of cold‐preferring scrapers could negatively affect the energy transfer from primary producers to higher consumers in the bypassed reach. Appropriate mitigation of climate change effects in hydropower systems can be achieved by increasing the flow in the bypassed reach, especially during the summer months, to maintain a temperature regime that is adequate for the survival of macroinvertebrate populations and maintenance of ecosystem functions.

A Variational Mode Decomposition–Grey Wolf Optimizer–Gated Recurrent Unit Model for Forecasting Water Quality Parameters

Water is a critical resource globally, covering approximately 71% of the Earth’s surface. Employing analytical models to forecast water quality parameters based on historical data is a key strategy in the field of water quality monitoring and treatment. By using a forecasting model, potential changes in water quality can be understood over time. In this study, the gated recurrent unit (GRU) neural network was utilized to forecast dissolved oxygen levels following variational mode decomposition (VMD). The GRU neural network’s parameters were optimized using the grey wolf optimizer (GWO), leading to the development of a VMD–GWO–GRU model for forecasting water quality parameters. The results indicate that this model outperforms both the standalone GRU model and the GWO–GRU model in capturing key information related to water quality parameters. Additionally, it shows improved accuracy in forecasting medium to long-term water quality changes, resulting in reduced root mean square error (RMSE) and mean absolute percentage error (MAPE). The model demonstrates a significant improvement in the lag of forecasting water quality parameters, ultimately boosting forecasting accuracy. This approach can be applied effectively in both monitoring and forecasting water quality parameters, serving as a solid foundation for future water quality treatment strategies.

The influence of recent bushfires on water quality and the operation of water purification systems in regional NSW

Over the past decade, escalating extreme weather events have significantly affected New South Wales (NSW), Australia, with unprecedented droughts and intense fires. Yet, the impact on water quality and purification processes remains insufficiently studied. This research focuses on the immediate changes in NSW's environmental water quality and issues in water purification unit operations following the 2019 bushfires. Water samples and maintenance records from affected catchments, intakes, purification units, and reservoirs were analysed. Compared to control samples, post-bushfire water exhibited high turbidity. Sediment and ash shock loads posed significant threats to aquatic ecosystems. Elevated turbidity, suspended sediments, pH, and alkalinity were major concerns for water purification. Raw water samples showed turbidity exceeding 195 NTU, with flocculation and sedimentation most impacted. Immediate measures included sediment traps, aeration, pre-chlorination, and inline monitoring. These findings inform strategies to mitigate bushfire impacts on water quality and optimise water purification in fire-prone regions.

Do farmers prefer result-based, hybrid or practice-based agri-environmental schemes?

Abstract This study examines farmers’ preferences for practice-based, result-based and hybrid agri-environmental schemes in three countries through a choice experiment conducted by the Organization for Economic Cooperation and Development, focusing on biodiversity, climate and water quality. The results reveal that, in general, farmers tend to prefer practice-based schemes for water quality or climate change mitigation goals over hybrid or result-based schemes. Moreover, the study indicates that only a limited number of hybrid schemes are both preferred by farmers and more socially beneficial compared to equivalent practice- or result-based schemes. These conclusions are further reinforced by a cost-benefit analysis.

Low- vs high-glycemic index Mediterranean-style eating patterns improved some domains of health-related quality of life but not sleep in adults at risk for type 2 diabetes: The MEDGICarb randomized controlled trial

BackgroundA healthy eating pattern such as the Mediterranean-style (MED-HEP) is associated with favorable effects on both cardiometabolic risk markers and self-reported health outcomes. Limited evidence exists regarding the influence of glycemic index (GI) of carbohydrate foods consumed within a healthy eating pattern on self-reported health-status and sleep. ObjectiveTo investigate the effects of a low- vs high-GI MED-HEP on changes in health-related quality of life (HRQoL) and sleep. MethodsThe MedGICarb-intervention trial is a 12-week randomized, controlled, parallel multi-center-trial in adults with at least two features of the metabolic syndrome. Participants consumed an eu-energetic diet profiled as a MED-HEP with either low GI (experimental) or high GI (control). HRQoL and sleep were measured with Medical Outcomes Study 36-Item Short Form Health Survey Version 2 (SF-36v2), Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS) at baseline and post-intervention. Results160 adults with ≥ 2 features of the metabolic syndrome completed the intervention (53 % females, age 56 ± 10 y, BMI 31.0 ± 3.1 kg/m2). Low- vs high-GI MED-HEP resulted in differential changes between the groups in the HRQoL domains role physical (5.6 ± 2.2 AU vs -2.5 ± 2.5 AU) and vitality (6.9 ± 1.7 AU vs 0.0 ± 1.8 AU) (p < 0.05), which were driven mostly by improvements in the low-GI group. There were no significant differences between the MED-HEPs for changes in aggregated physical or mental components or for the other individual domains of HRQoL (physical functioning, bodily pain, general health, social functioning, role emotional and mental health) or for sleep quality or daytime sleepiness. ConclusionsLow compared to high GI in the context of a MED-HEP resulted in modest improvements in some, but not all, health domains of HRQoL. No major differences were seen between the groups for measures of sleep. Clinical Trial Registry number and websiteThe trial is registered in the public trial database Clinicaltrials.gov as NCT03410719, https://clinicaltrials.gov/study/NCT03410719?term=NCT03410719&rank=1

Does a Hip Muscle Activation Home Exercise Program Change Movement Patterns on the Forward Step-Down Test?

Poor knee biomechanics contribute to knee joint injuries. Neuromuscular control over knee position is partially derived from the hip. It is unknown whether isolated activation training of the gluteal muscles improves lower-extremity frontal plane mechanics. This study examined if a home-based hip muscle activation program improves performance on the Forward Step-Down Test as well as increases surface electromyography (sEMG) activation of the gluteal muscles. The study utilized a single-group repeated-measures design. Thirty-five participants (24 females, mean age = 23.17 [SD 1.36] years) completed an 8-week hip muscle activation program. The Forward Step-Down Test score and sEMG of gluteus maximus and medius were assessed preintervention and postintervention. Forward Step-Down Test scores improved significantly from preintervention (Mdn = 3.5) to postintervention (Mdn = 3.0, T = 109, P = .010, r = .31.), but this result did not meet clinical significance. sEMG analysis revealed a significant increase in mean gluteus maximus activation (P = .028, d = 1.19). No significant dose-response relationship existed between compliance and the Forward Step-Down Test scores or sEMG results. A home-based hip activation program increases gluteus maximus activation without clinically significant changes in frontal plane movement quality. Future studies may find clinical relevance by adding motor learning to the activation training program to improve functional muscle use.

Changes in health-related quality of life in common variable immunodeficiency: an eight-year journey, including the COVID-19 pandemic

ABSTRACT Background Personalized medicine requires the assessment of the impact of health care interventions on Health-Related Quality of Life. Research design and methods We run an observational study of HRQoL in 140 CVID patients with biannual assessments over 8 years using a disease-specific tool, the CVID_QoL, and the GHQ questionnaires. Factors influencing changes in HRQoL scores were identified using multiple linear regression models with a stepwise procedure. Results Infections frequency, female gender, and chronic enteropathy were associated with worse global CVID_QoL scores. The presence of permanent organ damage and older age contributed to the perception of being at risk of health deterioration, while chronic enteropathy was associated with fatigue. The presence of permanent organ damage was also associated with perceived difficulties in usual activities. The frequency of infections was the main risk factor for difficulties in long-term planning and perceptions of vulnerability. Before COVID-19, improved HRQoL scores were associated with reduced respiratory infections and changes in immunoglobulin replacement route and setting. The COVID-19 pandemic caused a sudden deterioration in all HRQoL dimensions, and a further deterioration in the emotional dimension was observed during the pandemic period. Patients who died during the study had worse CVID_QoL scores at all time points, confirming that HRQoL performance is strongly related to patient outcome. Conclusions Periodic HRQoL assessments are needed to capture relevant issues that change over time in patients affected by long-term chronic conditions such CVID, possibly identifying areas of intervention.

Microbial Composition and Quality Changes in Whole Golden Pomfret (Trachinotus ovatus) During Refrigerated, Ice, and Vacuum-Packed Storage

ABSTRACT This study evaluated the quality and bacterial composition changes in whole golden pomfret under refrigeration, ice storage, and vacuum packaging at 4°C . Ice storage and vacuum packaging delayed sensory quality deterioration, limited spoilage bacteria proliferation, and slowed biogenic amines formation, total volatile base nitrogen accumlation, and ATP-related compounds degradation. In addition, Bacillus dominated fresh golden pomfret. Psychrobacter, Shewanella, and Acinetobacter were predominant in control and ice storage groups, while Shewanella and Aeromonas prevailed in the vacuum packaging group after storage. In conclusion, the best storage condition for whole golden pomfret fish is ice storage.

Microbial Composition and Quality Changes in Whole Golden Pomfret (Trachinotus ovatus) During Refrigerated, Ice, and Vacuum-Packed Storage

ABSTRACT This study evaluated the quality and bacterial composition changes in whole golden pomfret under refrigeration, ice storage, and vacuum packaging at 4°C . Ice storage and vacuum packaging delayed sensory quality deterioration, limited spoilage bacteria proliferation, and slowed biogenic amines formation, total volatile base nitrogen accumlation, and ATP-related compounds degradation. In addition, Bacillus dominated fresh golden pomfret. Psychrobacter, Shewanella, and Acinetobacter were predominant in control and ice storage groups, while Shewanella and Aeromonas prevailed in the vacuum packaging group after storage. In conclusion, the best storage condition for whole golden pomfret fish is ice storage.

Acute toxicity and early PSA response after two-fraction stereotactic radiotherapy for localized prostate cancer using peri-rectal spacing – Initial report of the SABR-Dual trial

Purpose: SABR-Dual is a phase III trial with an initial phase-I safety cohort, of two-fraction stereotactic radiotherapy (SABR) with optional MRI-based focal boost, using peri-rectal spacing, for localized prostate cancer. This represents the initial report from the phase-I non-randomized cohort. Materials and methods: Subjects had favorable intermediate risk (FIR) or low risk (LR) prostate adenocarcinoma, and gland volume <80cc. All underwent radiopaque hydrogel spacer and fiducial marker placement prior to simulation (CT and 3-tesla T2 MRI). The clinical target volume included the entire prostate, and in FIR patients, 1-2cm of seminal vesicle (SV). A 2mm expansion was applied for planning target volume (PTV), and a dose of 27 Gy was prescribed to the PTV-prostate, 23 Gy to the PTV-SV, with an optional 30 Gy simultaneous boost (SIB) to an MRI-defined dominant lesion. Primary endpoint was 3-month patient-reported changes in quality of life based on the EPIC-26, IPSS, and SHIM questionnaires. Secondary endpoints were 6-month quality of life, acute toxicity (using CTCAEv5) and early PSA response. Results: Among the 20 patients in the phase-I cohort, 95% had FIR disease, and 50% received an SIB. At median follow-up of 8 months, a 3-month minimally clinically important change occurred in 1/20 (5%), 6/20 (30%), 2/20 (10%), 4/20 (20%), and 5/20 (25%) in urinary incontinence, urinary obstructive, bowel, sexual, and hormonal domains. There was a mean increase of 1±5.4 in IPSS and decrease of 1.8±6.5 in SHIM scores. Rates of grade 2 urinary and bowel toxicity 10% and 0%, respectively, with no grade ≥3 toxicities. Mean PSA decrease at last follow-up was 70.4%±17.7%. Conclusion: This generalizable protocol of two-fraction prostate SABR using peri-rectal spacing is a safe approach for ultra-hypofractionated dose-escalation, with minimal acute toxicity. Longer-term outcomes and direct comparison with standard 5-fraction SABR are being studied in the phase-III randomized portion of SABR-Dual.

Quality of life for androgen receptor targeted agents in patients with metastatic castration resistant prostate cancer.

Few studies have evaluated health-related quality of life (HRQoL) with abiraterone acetate plus prednisone (abiraterone) compared to enzalutamide in metastatic castration resistant prostate cancer (mCRPC). So, this study aimed to assess impact of abiraterone and enzalutamide on patients´ functioning in mCRPC real-world setting. In this 12-month, prospective, observational study, 36 mCRPC patients from Slovakia were included. Patients were treated with abiraterone or enzalutamide according to routine practice. HRQoL was assessed at baseline and 3-/6-/9-/12-month visits using the Functional Assessment of Cancer Therapy-Prostate (FACT‑P) and European Quality of Life 5 Dimensions (EQ-5D) questionnaires. Changes from baseline and occurrence of deteriorations/improvements were compared using two-sample t-test/Mann-Whitney test and Pearson's chi-square/Fisher's exact test, respectively. Mixed-effects model for repeated measures was used to evaluate the difference between the two arms in mean changes of quality of life after 12 months. Frequency of clinically meaningful deterioration of quality of life assessed by FACT-P was similar for abiraterone and enzalutamide: 0%, 14.3%, 23.1%, 16.7% vs. 10%, 26.3%, 22.2%, 40% at 3-, 6-, 9- and 12 months of therapy (p=0.496, 0.670, 1.000 and 0.236, respectively). After 12 months of treatment, no statistically significant difference between the treatment arms was observed in estimated mean changes in FACT-P total scores (p=0.620) and its components, EQ-5D index (p=0.108), and EQ-5D visual analogue scale (p=0.324). According to the results of this study, abiraterone and enzalutamide had acomparable impact on quality of life in chemo-naive mCRPC in routine practice (Tab. 4, Fig. 4, Ref. 23). Text in PDF www.elis.sk Keywords: quality of life, abiraterone, enzalutamide, castration resistant prostate cancer.