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New synthetic compounds - thioxopyrimidine derivatives as regulators of vegetative growth and photosynthesis of spring barley (Hordeum vulgare L.) variety Acordine were studied. The growth-regulatory effect of new synthetic compounds, thioxopyrimidine derivatives, used in a concentration of 10-6M, was compared with the growth-regulatory effect of a plant hormone auxin IAA (1H-indol-3-yl)acetic acid) or synthetic plant growth regulators, derivatives of sodium and potassium salts of 6-methyl-2-mercapto-4-hydroxypyrimidine (Methyur, Kamethur), N-oxide-2,6-dimethylpyridine (Ivin), used in a similar concentration of 10-6M. The conducted study showed the similarity of the growth-regulatory effects of synthetic compounds, thioxopyrimidine derivatives, the plant hormone auxin IAA, and synthetic plant growth regulators Methyur, Kamethur, and Ivin. Morphometric parameters (average length of shoots (mm), average length of roots (mm), and average biomass of 10 plants (g)) and biochemical parameters (content of photosynthetic pigments chlorophylls a, b, a+b and carotenoids (µg/ml)) of barley plants treated with the plant hormone auxin IAA or synthetic plant growth regulators Methyur, Kamethur, Ivin or thioxopyrimidine derivatives were increased after 4 weeks compared to control plants. The dependence of the growth-regulatory effect of synthetic compounds, thioxopyrimidine derivatives on their chemical structure was analyzed. The use of the synthetic plant growth regulators, derivatives of sodium salt of 6-methyl-2-mercapto-4-hydroxypyrimidine (Methyur), potassium salt of 6-methyl-2-mercapto-4-hydroxypyrimidine (Kamethur), N-oxide-2,6-dimethylpyridine (Ivin) and selected most active synthetic compounds, thioxopyrimidine derivatives for regulating the growth and photosynthesis of spring barley (Hordeum vulgare L.) variety Acordine is proposed.

We reviewed our outcomes of patients with relapsed/refractory Hodgkin Lymphoma treated with autologous stem cell transplant over a 30-year period, 1992 to 2022 and are reporting 15-year Disease-Free Survival (DFS) and Overall Survival (OS) of the 36 patients treated (19 men, 17 women, median age 41). Over the years there were different preparative regimens employed (carmustine, etoposide, melphalan and BCNU, etoposide, cytarabine, and melphalan) as well as post-transplant consolidation therapy (brentuximab). With a median follow-up of 15 years, the DFS is 52% and OS is 64%. Long-term complications include cardiomyopathy and second malignancies.The use of better salvage regimens and post-transplant consolidation therapy should lead to better outcomes.

Background: Idiopathic intracranial hypertension (IIH or pseudotumor cerebri) has two major morbidities: papilledema with visual loss and disabling headache. Intracranial Venous Hypertension (IVH) is a fundamental mechanism of IIH. Although traditionally considered limiting to the central nervous system, evidence suggests IIH as a systemic disease associated with cardiorespiratory disorders, which has been far less comprehended. Case Report: A 60-year-old female with Chronic Obstructive Pulmonary Disease (COPD) was admitted for dyspnea and developed a coma with a pH of 7.01 and pCO2 of 158 mmHg. She was intubated and had persistent nuchal rigidity, a brief myoclonus episode with a negative electroencephalogram, and negative CT head studies. A Lumbar Puncture (LP) revealed elevated opening pressure (35 cmH2O) with normal Cerebral Spinal Fluid (CSF) studies. Her nuchal rigidity improved after the removal of 40 mL CSF. The ophthalmology examination the next day after her the large volume LP didn’t show visual loss or papilledema. The patient improved clinically and was extubated two days later. Her echocardiogram showed a dilated right ventricle with pulmonary hypertension. The patient was discharged home.Discussion: IIH is different from hypercapnic encephalopathy and characterized by increased intracranial pressure with papilledema, vision loss, and debilitating headache. Hypercapnia-induced increased intracranial venous flow and pulmonary hypertension-caused elevated central venous pressure with consequent outflow resistance lead to IVH. In hypercapnic encephalopathy, the presentation is mostly cognitive changes. In this case, nuchal rigidity with a negative CT head scan triggered the investigation of IIH. Conclusion: A deep understanding of the relationship between COPD and IIH is vital. There is insufficient evidence to recommend routine eye examinations in COPD patients for papilledema and to conduct a pulmonary function test for a newly diagnosed IIH patient. However, we highly suggest a timely ophthalmology exam prior to performing an LP in COPD patients with suspecting IIH to avoid unnecessary procedures and meanwhile improve clinical outcomes.

We report a rare case of 62-year-old South Asian women who visited the Molecular Pathology and Genomics Department for hereditary germline cancer genetic testing after being diagnosed with oesophageal cancer, reported as invasive keratinizing squamous cell carcinoma metastasized to the lymph nodes. Her personal history revealed that she was diagnosed with triple-negative breast cancer five years before oesophageal cancer. Germline cancer testing showed pathogenic variants in BRCA1 gene c.68_69delAG, which proved it a hereditary breast and ovarian cancer syndrome. She was started on PARP inhibitors but developed some secondary respiratory failure and succumbed to death. Less than 10 cases have been reported in the literature of the association of germline BRCA1 and Squamous cell Carcinoma – the esophagus. The article focuses on the probable pathogenesis of BRCA1 mutation with non-classic malignancies and the response of Poly adenosine diphosphate ribose polymerase inhibitors (PARP) inhibitors in such a scenario. We report an unusual manifestation of the BRCA1 gene with second primary oesophageal squamous cell cancer occurring five years later to triple-negative breast cancer.

Non-small-cell lung cancer (NSCLC) accounts for 85% of lung cancer cases and is associated with different risk factors (smoking habits, gender, and age). In this scenario, many studies have been conducted to pursue improvement of survival, faster and better therapy response, reduced adverse events, and expanded available therapies and treatments against tumor resistance to drugs. These studies have focused on defining the most prevalent NSCLC biomarkers (EGFR, HER2, ALK, MET, ROS1, BRAF, KRAS G12C, HER3, NTRK, and NRG1) and their actionability. It is noteworthy that expressed kinase receptors can have overlapping mechanisms of activation of different pathways (JAK-STAT, MAPK, PI3K-AKT-mTOR, and PLC-c), which can lead to the same outcome of cell proliferation, migration, and survival resulting in increased tumor resistance to treatment. This review provides an overview of the latest findings regarding NSCLC treatment, emphasizing particular biomarkers and potential molecularly altered pathways implicated as targeted therapies. Additionally, it explores the clinical significance of the proposed treatments, their implication on progression-free survival, ongoing clinical trials, and their perspective of evolution so far.

Background: Cervical Cancer poses a significant global health challenge, especially in lowresource settings. It is a significant health problem worldwide, with over half a million new cases diagnosed each year, accounting for approximately 6.6% of all gynecological Cancer cases and over 300,000 deaths each year. In Zambia, it is the leading cause of mortality and morbidity among women. The number of cases has increased by approximately 40%. This study explored the lived experiences of Cervical Cancer patients undergoing chemotherapy at the Cancer Diseases Hospital in Lusaka, Zambia, focusing on their subjective experiences. By examining their journeys through chemotherapy, the study aimed to highlight the subtle complexities in which treatment impacts patients’ lives and well-being.  Methods and procedures: Employing a qualitative descriptive phenomenological study design, in-depth interviews were conducted with 10 participants with diverse demographics. The sample size was determined by data saturation and saturation was reached at 10. Ethical protocols were ensured, and Study approval was obtained from UNZABREC and the National Health Research Authority. Thematic analysis was conducted on audio-recorded interviews with cervical cancer patients, ensuring confidentiality and accuracy while discerning significant patterns and themes in their narratives. Results/findings: Emotional experiences ranged from anxiety to gratitude. Psychological challenges encompassed coping mechanisms, stress management, emotional adjustments, and treatment-related fears. Socially, community support, workplace accommodations, and healthcare provider roles were key. Physical experiences revealed side effects managed through coping strategies. Financial challenges significantly impacted individuals and families.  Conclusions and recommendations: The study revealed that cervical cancer patients undergoing chemotherapy face complex challenges spanning emotional, psychological, social, physical, and financial domains, underscoring the imperative for comprehensive patient-centered care. Recommendations suggest focusing on financial aid for cancer patients and tackling treatment expenses and insurance issues. The Cancer Diseases Hospital should establish multidisciplinary teams for holistic care, and enhance patient education efforts. Nurses should adopt strategies integrating cultural competence and patient-centered care to address diverse challenges during chemotherapy. These aim to enhance the well-being and care quality of Cervical Cancer patients.

The topic of this paper is to describe the 3-D current density in the windings of a 3-D coil, which fills the volume between two coaxial cylinders at a precisely defined distance from each other, and which serves to generate a magnetic field gradient in the center of the cylinder axis. The 3-D current density is considered an unknown input quantity, which is calculated from the known gradient magnetic field output. It is an inverse problem in mathematics, where the direct problems are the calculation of unknown output quantities based on known input quantities. Fourier series expansion methods in the context of cylindrical coordinates were used to describe the 3-D current density. In that case, Bessel functions are used as development components. The current densities, at each point in space, were lined up to represent current lines. Each power line is associated with a coil winding through which a current of a certain strength flows. After that, the principle of discretization of coil windings was applied. Each winding is divided into a large number of elementary segments that were considered as current elements, which create, based on Bio-Savar's law, an elementary magnetic field. In this way, the total, continuous magnetic field is broken into many elementary components, which come from different current elements. An important result of this process is that each current element can be controlled independently by a current source. This means that the output magnetic field of the gradient can be controlled by current sources, which are the input sizes, and this is what is at the core of the topic of this paper.

Background: Delaying or slowing functional loss is a valuable goal of Multiple Sclerosis (MS) rehabilitation. The mHealth app-based exercise rehabilitation intervention is expected to overcome barriers related to routine care of MS. Due to the ubiquitous presence of smartphones, they offer an excellent opportunity for remote monitoring, scheduled interaction with experts, and instruction for exercise in a home environment. Challenges in MS routine care include forgotten rehabilitation steps, limited access to local MS experts, and internal barriers such as low health literacy, mobility limitations, and fatigue, alongside external obstacles like service availability and transport costs.Objectives: To develop a mHealth app that is user-centered and context-specific for rehabilitation of MS symptoms, and to evaluate its clinical and cost effectiveness in individuals with RRMS.Methods: The proposed research will be conducted in two phases; the first phase (Phase 1a) will be focused on the development of mHealth app content (ReMiT-MS app trial I). The pilot phase (Phase 1b), where a prototype of the application will be designed, and its usability will be evaluated. Finally, in the second phase (Phase 2), the clinical and cost-effectiveness of the ReMiT-MS app for the rehabilitation of individuals with RRMS will be evaluated (ReMiT-MS app trial II).Conclusion: The findings of this proposed trial may provide a telerehabilitation platform for individuals with RRMS in a resource-limited setting and establish a low-cost healthcare delivery model. In addition, the results of this research work might open a new window in healthcare delivery in India and similar settings.Trial registration:  CTRI/2022/09/045266 [Registered on 06/09/2022]

Microbiome-gut-brain axis represents a complex, bidirectional communication network connecting the gastrointestinal tract and its microbial populations with the central nervous system (CNS). This complex system is important for maintaining physiological homeostasis and has significant implications for mental health. The human gut has trillions of microorganisms, collectively termed gut microbiota, which play important roles in digestion, immune function, and production of various metabolites. Some current research shows that these microorganisms strongly influence the brain function and behaviour of individuals, forming the basis of the microbiome-gut-brain axis. The communication between gut microbiota and the brain occurs via multiple pathways: neural pathway (e.g., vagus nerve), endocrine pathway (e.g., hormone production), immune pathway (e.g., inflammation modulation), and metabolic pathway (e.g., production of short-chain fatty acids). Dysbiosis, or imbalance of gut microbiota, has been linked to mental health disorders such as anxiety, depression, multiple sclerosis, autism spectrum disorders, etc, offering new perspectives on their etiology and potential therapeutic interventions. Artificial Intelligence (AI) has emerged as a powerful tool in interpreting the complexities of the microbiome-gut-brain axis. AI techniques, such as machine learning and deep learning, enable the integration and analysis of large, multifaceted datasets, uncovering patterns and correlations that can be avoided by traditional methods. These techniques enable predictive modeling, biomarker discovery, and understanding of underlying biological mechanisms, enhancing research efficiency and covering ways for personalized therapeutic approaches. The application of AI in microbiome research has provided valuable insights into mental health conditions. AI models have identified specific gut bacteria linked to disease, offered predictive models, and discovered distinct microbiome signatures associated with specific diseases. Integrating AI with microbiome research holds promise for revolutionizing mental health care, offering new diagnostic tools and targeted therapies. Challenges remain, but the potential benefits of AI-driven insights into microbiome-gut-brain interactions are immense and offer hope for innovative treatments and preventative measures to improve mental health outcomes.

Background: Tailored adjuvant treatment is key to managing endometrial cancer effectively. Understanding prognostic factors of loco-regional failure and the impact of adjuvant treatment can help in treatment de-escalation without compromising survival outcomes.The aim of this study was to assess the pattern of failure in endometrial cancer patients and to determine predicting Loco-Regional Recurrence (LRR) factors.Patients and methods: Data were collected from 214 patients treated for endometrial cancer between 2005 and 2012 in Salah Azaiez Institute in Tunisia. All patients underwent upfront surgery followed by adjuvant brachytherapy with or without external beam radiation. The median follow-up period was 44 months. Univariate and multivariate analyses were performed to identify prognostic factors for LRR.Results: The 5-year overall survival rate was 78.1%, and the 5-year progression-free survival rate was 80.1%. LRR occurred in 25 patients (11.6%), with a median recurrence time of 29 months (range 4 months - 46 months). Pelvic relapse was the most common site, occurring in 10 patients. Vaginal relapses were observed in 9 patients, and retro-peritoneal relapses were observed in 6 cases. FIGO stage, tumor grade, histologic type, Lympho-Vascular Space Invasion (LVSI), and delays in adjuvant treatment were significant predictors of LRR.Conclusion: Identifying prognostic factors for LRR in endometrial cancer is crucial for optimizing adjuvant treatment strategies. Higher FIGO stages and the presence of LVSI were independent predictive factors for LRR. Tailored adjuvant treatment, taking these prognostic factors into account, is essential to improve patient outcomes and minimize unnecessary treatment-related toxicity.

Background: The establishment of eye clinics in the form of rural outreach centers as a means of educating and providing eye care to rural residents was made necessary by the lack of eye care services in rural areas within Nigeria and the need to increase the cataract surgical rate among ophthalmologists in training. Understanding patterns of eye diseases in rural areas and eye health-seeking behaviors is crucial to achieving the goals of Vision 2020 especially for aspiring ophthalmologists.Aim and objectives: To examine the types of eye conditions observed at Nenwe, a rural outreach post of a tertiary hospital, and to evaluate their distribution.Methodology: A retrospective analysis of all patients who were seen at the community eye clinic during seven years was carried out. Records of patients at the Nenwe outreach eye clinic dating from November 2016 to August 2023 were examined, yielding information on patients examined during the period of study.Results: Glaucoma was the most common eye condition to be diagnosed. Cataracts were the second most common eye condition accounting for 20.8%. Other common eye illnesses were refractive error (9%), pterygium (7%), and allergic eye disease (6%) with 129, 101, and 95 cases, respectively. Retinal detachment (51 cases), prebyopia (47 cases), corneal lesion (58 cases), and dry eye condition (47 cases) were less common.Conclusion: The results show the burden of eye disorders in the Nenwe rural community and the importance of community-based eye care services.

Numerous studies relate differences in microbial communities to humans. The microbiome is fundamental for the human turn of events, invulnerability, and nourishment. The ordinary microbiota has explicit capability in supplement digestion, xenobiotic and drug digestion, upkeep of underlying trustworthiness of the stomach mucosal boundary, immunomodulation, and assurance against microorganisms. Out of nowhere, it assumes a significant part in criminology. In a few criminal examinations, such perceptible changes in the microbiome and mycobiome can decide the reason or the genuine spot of death. The microbial follows found at the crime location can likewise give obvious proof of responsibility. The point of this audit was to study the microbiome and its applications in scientific sciences and to decide the primary lines of examination that are emerging, as well as its potential commitments to the scientific field.’

Medicines are used to cure and treat ailments, relieve or eliminate disease symptoms, and slow down the disease process. Any attempt to disrupt this natural medicine process, using falsified medications, spells doom to a consumer of such medication. The challenge of fake medicines is a global one and affects developing and developed nations and currently assumes great significance as a result of globalization challenges, which have flattened the entire world, hence removing barriers to the movement of products and services. The cross-sectional survey was conducted, using six local government areas of Anambra State in South-East Nigeria, namely Awka, Nnewi, Onitsha, Aguata, Ogbaru, and Anaocha, among adults aged 18 years and above. A minimum sample size of 500 was calculated and stratified sampling was employed to select respondents in order to ensure that various population groups, the upper class, middle class, and lower class were represented.This research has shown that falsified medicine is an evil wind that blows nobody any good. It negatively affects every aspect of the citizen’s livelihood, ranging from their health, which manifests as treatment failures, deformities, loss of life to death, to loss of confidence in the healthcare providers, revenue losses to individuals, healthcare providers, manufacturers, and finally corruption of the genuine medicines supply chain with fake and adulterated medicines.The study has clearly shown the experiences of residents of Anambra State, South-East Nigeria with fake and adulterated medicines and also services as a wake-up call to medicines regulators like NAFDAC, PCN, the PSN, and Federal Ministry of Health to declare a state of emergency on the fight against fake and adulterated medicines and make enabling laws that are punitive enough towards the fight against this scourge, so that the healthcare and well-being of Nigerians would be assured at all times.

This paper reviews the transformative impact of Artificial Intelligence (AI) on civil engineering. It explores AI's fundamental concepts and its applications across structural analysis, construction management, transportation, geotechnical engineering, and sustainability. The review highlights AI's role in automating tasks, predicting outcomes, and optimizing designs throughout project lifecycles. Recent advancements in AI-driven technologies for structural health monitoring, predictive maintenance, and risk assessment are discussed, along with challenges like data quality and model interpretability. Future trends such as autonomous construction and digital twins are examined, emphasizing the need for continued research and interdisciplinary collaboration. In conclusion, this paper offers insights for leveraging AI to address evolving challenges and opportunities in civil engineering, fostering innovation, sustainability, and resilience in infrastructure development.

Based on the results obtained in the study of the interaction of geological and biosphere processes, we found out that there is a close relationship between them. It was also found that the gravity of the bodies of the solar system on the Earth plays a significant role in the above relationship. The effect of gravity was demonstrated on the movement of lithosphere plates, on the processes in the atmosphere and hydrosphere, on related climatic cycles, and the biosphere processes, including "living" organisms' evolution and their mass extinctions. The periodicity of these processes due to gravity is shown. It is expressed in the alternation of short-term orogenic periods of the beginning of the processes with long-term geosynclinal periods of their development and completion. Both periods constitute the repetitive orogenic cycles. The relationship of the cycles with the evolution of photosynthesis, as well as with related Organic Matter (OM) accumulation in sediments after mass extinction of organisms, including OM transformation leading to the formation of Hydrocarbon (HC) accumulations, is shown. Biogenic processes accounting for the accumulation and transformation of organic matter in sediments constitute the biogenic pathway of the formation of hydrocarbon accumulations. It is shown that the influence of gravity extends to the processes in the inner geospheres, including the movement of magma in the asthenosphere under the lithosphere shell, to the movement of hydrogen gas coming from the Earth's core, combining with volatile compounds of elements present in magma, as well as to the rifting process. It is shown that rifting processes lead to the formation of gaseous HC accumulations and constitute a pathway called abiogenic. The obtained results shed light on the peculiarities of the formation of HC accumulations by biogenic and abiogenic pathways, allowing prediction of their chemical characteristics. This is essential when searching for oil and gas and planning exploration works.

Nutrition is the process of supplying the organism with substances that have certain useful characteristics for the organism. It is through the process of nutrition that the organism receives the necessary amount of energy required for normal life activity. The cell is a structural and functional unit of the human body, and it is from a set of similar formations that tissue, organ, and organ systems are formed. Consequently, each cell of the body must receive the necessary supply of nutrients in order to continue its normal functioning. Cellular nutrition is the ability of each cell of the human body to consume nutrient molecules in the amount they need. In this case, the object of the study is just that nutrition, which begins with the nourishment of an individual cell. This article presents the results obtained by analyzing the data regarding the process of making the cell's consumption of the right nutrients while taking into account how the transition to cellular nutrition affects the environment and its constituents.

Introduction: Pneumothorax is a life-threatening condition that requires prompt recognition and therapy to prevent deterioration. Radiologist workload often precludes rapid assessment of the usual diagnostic modality, the chest radiograph, particularly after hours. The aim was to develop a deep learning model using a segmentation-based Deep Convolutional Neural Network (DCNN) to detect pneumothorax on chest radiographs to provide rapid and accurate pneumothorax diagnosis.Methods: This is a retrospective study of spontaneous pneumothorax at a single center, containing 130 positive and 70 negative radiographs. Subsequent manual contour mapping was performed to draw a mask of the pneumothorax. These image pairs were used to train a DCNN model (a modified AlexNet) after pretraining on the ImageNet dataset.Results: The DCNN achieved an accuracy of 0.83, with sensitivity of 98.1%, and specificity of 68.5%.Conclusion: This segmentation-based DCNN accuracy is comparable to previous categorization-based CDNN models, despite using a smaller sample size for training, while including the benefits of visual representation for clinician feedback. Segmentation-based DCNNs show promise in the development of accurate and clinically useful models for medical imaging.

Severe alcoholic hepatitis is an ethical and clinical conundrum, wherein a liver transplant is often recommended. The adequacy of medical treatment versus the risk of recidivism after transplant is often debated. Complete recovery in 26 of 27 patients with severe alcoholic hepatitis was observed, and hence the data was retrospectively analysed.Methods: 27 patients, with severe alcoholic hepatitis, with Maddrey's discriminant function between 59.7 to 165.2 (mean 107.53), from June 2017 to May 2022, were followed up for between 11 months to 6 years. INR ranged from 1.99 to 3.7 (mean 2.709), and bilirubin was between 7.6 to 37.01, (mean 20.859). 8 patients had pre-existing liver cirrhosis. All patients received probiotics, nutritional support, physical rehabilitation, saturated fat (clarified butter/ desi ghee) supplementation, and anti-oxidant support. At 90 days, total bilirubin improved to between 1.0 to 6.8 (mean 2.625). ALT (Alanine Transaminase/ SGPT) ranged from 65 to 550 (mean ALT – 197); and AST (Aspartate Transaminase / SGOT) ranged from 58 to 810 (mean AST – 271.51). Both the AST and ALT were near normal after 90 days. One patient died due to bacterial pneumonia and sepsis; the remaining 26 patients made a complete recovery. All patients including those with diagnosed liver cirrhosis, had complete resolution of their ascites, and near-normal liver function. At the last outpatient visit, none had ascites, edema, or encephalopathy, and had normal albumin levels and INR values. Conclusion: Probiotics, nutrition, a saturated fat diet, and exercise; all have shown benefits in patients with severe alcoholic hepatitis when tested individually. Concomitant use of all the above has not been reported in the treatment of alcoholic hepatitis. The role of nutrition alone versus the contribution of nutritional deficiencies and the role of gut-derived endotoxemia need to be studied in detail. How to identify patients who need a transplant, if it is needed at all, remains a challenge.

Purpose: This study aimed to determine the relevance of first- and high-order radiomic features derived from Diffusion-Weighted Imaging (DWI) and Apparent Diffusion Coefficient (ADC) maps for predicting treatment response in patients with Undifferentiated Pleomorphic Sarcoma (UPS).Methods: This retrospective study included 33 extremity UPS patients with pre-surgical DWI/ADC and surgical resection. Manual volumetric tumor segmentation was performed on DWI/ADC maps acquired at Baseline (BL), Post-Chemotherapy (PC), and Post-Radiation Therapy (PRT). The percentage of pathology-assessed treatment effect (PATE) in surgical specimens categorized patients into responders (R; PATE ≥ 90%; 16 patients), partial-responders (PR; 89% - 31% PATE; 10 patients), and non-responders (NR; PATE ≤ 30%; 7 patients). 107 radiomic features were extracted from BL, PC, and PRT ADC maps. Statistical analyses compared R vs. PR/NR.Results: Pseudo-progression at PC and universal stability at PRT were observed in R and PR/NR based on RECIST, WHO, and volumetric assessments. At PRT, responders displayed a 35% increase in ADC mean (p = 0.0034), a 136% decrease in skewness (p = 0.0001), and a 363% increase in the 90th percentile proportion (p = 0.0009). Comparing R vs. PR/NR at BL, statistically significant differences were observed in glrlm_highgraylevelrunemphasis (p = 0.0081), glrlm_shortrunhighgraylevelemphasis (p = 0.0138), gldm_highgraylevelemphasis (p = 0.0138), glcm_sumaverage (p = 0.0164), glcm_jointaverage (p = 0.0164), and glcm_autocorrelation (p = 0.0193). At PC, firstorder_meanabsolutedeviation (p = 0.0078), firstorder_interquartilerange (p = 0.0109), firstorder_variance (p = 0.0109),    and firstorder_robustmeanabsolutedeviation (p = 0.0151) provided statistically significant differences.Conclusion: Observing a high post-therapeutic ADC mean, low skewness, and high 90th percentile proportion with respect to baseline is predictive of successfully treated UPS patients presenting > 90% PATE. Highly significant higher-order radiomic results include glrlm-highgraylevelrunemphasis (BL) and first-order-mean absolute deviation (PC).

Introduction: Gentian Violet (GV) is a triphenylmethane industrial dye that is known for its antibacterial, antiviral, anti-helminthic, and anti-tumor effects. Although many studies focused on determining the biological and pharmacological applications of GV, its exact effect on the immune response has not been elucidated yet. Methods: In this study, we investigate the immunomodulatory effects of GV in BALB/c mice after intraperitoneal injection of the dye by assessing cytokines levels in the spleen. Results: Our data show that GV-treated mice have decreased levels of proinflammatory cytokines (IL-1β and TNF-α) and increased levels of anti-inflammatory cytokines (IL-4) in their spleens. In addition, IFN-γ which can modulate pro-inflammatory cytokine production was upregulated in GV-treated mice. Conclusion: Together, these findings suggest an anti-inflammatory activity of GV that warrants further studies investigating the potential of GV in immunotherapy.