All Articles in march, 2025

Background: Full-field Digital Mammography (FFDM) is essential for the early detection of breast cancer. Digital Breast Tomosynthesis (DBT) has improved cancer diagnosis and reduced false positives in mammography . This study evaluated DRLs for FFDM and DBT at various ranges of Compressed Breast Thickness (CBT).Material and methods: We evaluated the parameters like Average Glandular Dose (AGD), kVp, mAs, Entrance Surface Dose (ESD), and CBT in a retrospective analysis of FFDM and DBT. We computed the mean, median, range, and 75th percentile for Craniocaudal (CC) and Mediolateral Oblique (MLO) views at various breast thicknesses.Results: The DRLs were 0.70 mGy to 2.55 mGy for FFDM and 0.94 mGy to 3.67 mGy for DBT for breast thickness in the range from 20 mm to 89 mm.Conclusion: This analysis revealed that DRLs were significantly lower than international benchmarks . Mammography radiation dose optimisation enhances diagnostic accuracy and patient safety.

Citrus sinensis is a rich source of bioactive compounds  and has attracted attention due to its medicinal benefits. Historically regarded as agricultural waste, orange peel is rich in flavonoids, polyphenols, tannins, and essential oils with antibacterial, anti-inflammatory, and antioxidant qualities. The phytochemicals in Citrus sinensis peel were used as natural reducing and stabilizing agents in the green synthesis method used in this work to create silver nanoparticles (AgNPs). This method is an environmentally friendly alternative to conventional nanoparticle production, eliminating the need for hazardous chemicals. Based on the study’s results, green-synthesized silver nanoparticles derived from Citrus sinensis peel extract offer a sustainable and biocompatible substitute for biomedical applications. The pharmaceutical and healthcare industries may find therapeutic uses for them due to their exceptional antibacterial, antioxidant, and anticancer properties.

Introduction: Cervical spinal cord injuries (CSIs) account for 2% - 3% of trauma cases and 8.2% of trauma- related fatalities, making them a significant cause of disability and mortality. Effective management and timely interventions are essential to improve neurological and functional outcomes. This study aimed to evaluate the outcomes of patients with CSIs and identify key predictors of neurological and functional improvement.Materials and methods: This prospective observational study was conducted over 12 months at SMS Medical College, Jaipur, involving 100 patients with CSIs from C1 to C7 vertebrae. Patients presenting within one week of injury were included. Clinical evaluation was conducted using the ASIA scoring system, and functional outcomes were assessed with the Functional Independence Measure (FIM) scale. MRI findings were analyzed to classify injuries and identify critical predictors, including the presence and extent of edema and listhesis grading.Results: Significant predictors of neurological improvement included injury type, management approach, MRI findings, extent of edema (≤ 2 vs. >2 segments), and listhesis grading. Operative management and incomplete injuries showed better outcomes. The median Barthel Index improved from 4.0 preoperatively to 7.0 at four months (p < 0.001). The mean FIM score also significantly increased from 43.25 ± 26.5 to 56.8 ± 40.75 (p < 0.05). ASIA Grades C and D demonstrated significant neurological recovery, with no grade deterioration observed.Conclusion: Age, injury type, management strategy, MRI findings, extent of edema, and listhesis grading are key predictors of outcomes in CSIs. These findings emphasize the importance of early diagnosis, timely surgical intervention, and comprehensive management in improving neurological and functional recovery. Multicentric studies with larger cohorts are recommended for broader generalizability.

VACTERL (V: Vertebral anomalies, A: Anal malformation, C: Cardiac defect, TE: Tracheoesophageal malformation, R: Renal anomalies, L: Limb anomalies) is a cluster of congenital malformations. It is a rare association with sporadic and non-random occurrence where multiple organs are affected due to developmental defect during blastogenesis (2-4 weeks of gestation), where abnormal structures are derived from the embryonic mesoderm. Multiple environmental and genetic factors have been implicated. We report the successful management of a patient  with VACTERL association born to a mother through an emergency cesarean section due to fetal distress.

This paper reviews recent advances and future trends in feature processing methods within the field of artificial intelligence. With the rapid development of deep learning and big data technologies, feature processing has become essential for enhancing AI model performance. We begin by revisiting traditional feature processing methods, then focus on deep learning-based feature extraction techniques, automated feature engineering, and the application of feature processing in specific domains. The article also analyzes the current research challenges and outlines future development directions, offering structured insights for both researchers and practitioners across disciplines

The integration of deep learning and genetic analysis has transformed the assessment of elite sports performance, particularly in competitive swimming. This study examines the fusion of deep learning techniques with DNA markers, physiological biometrics, and performance analytics to enhance the prediction and optimization of swimmer performance. A structured dataset comprising genetic sequences, physiological parameters, and biomechanical attributes was utilized to train a neural network model capable of categorizing swimmers based on genetic predisposition and athletic potential. The model achieved high classification accuracy, demonstrating a strong link between genetic markers, physiological traits, and competitive swimming outcomes. The findings emphasize the potential of AI-driven analytics in talent identification, customized training adaptations, and injury prevention. Furthermore, the study highlights the effectiveness of deep learning in analyzing complex genomic and physiological data to generate meaningful insights for performance enhancement. While the results validate the feasibility of using genetic and AI-based models for performance prediction, further studies are needed to broaden dataset diversity, integrate epigenetic influences, and test the model across varied athlete populations. This research contributes to the expanding field of AI-driven sports science and provides a solid foundation for incorporating genomics with deep learning to enhance elite athletic performance.

Background: Studies explored the therapeutic role of agents inhibiting RAS in epilepsy. Fewer studies addressed the electrophysiological changes associated with angiotensin converting enzyme inhibitors (ACEIs) in terms of sustained seizures (status epilepticus). Sodium valproate (SVPA), a broad-spectrum anticonvulsant, has been associated with adverse cardiac events upon long-term use, in contrast to the beneficial role of ACEIs in cardiovascular disorders.  This work explored the potential effects of ramipril, an ACEI, compared to SVPA, on the behavior, and electrophysiology of the brain and heart in a rat model of status epilepticus. The dose dependent pattern of the presumed ramipril activities was investigated. Methods: Adult male rats were assigned into seven groups, controls, IP pyridostigmine (36 mg/kg)-induced status epilepticus (PISE), oral SVPA (5 mg/kg), and three groups receiving oral ramipril at respective doses of 5 (R5), 10 (R10), and 20 mg/kg (R20). Rat behavior was assessed using Racine’s motor convulsion scoring for 10 minutes.  Blood pressure was recorded, and electroencephalography (EEG) and electrocardiography (ECG) were performed on the sedated rats 24 hours after recovery. Results: Despite the partial behavioral improvement of motor convulsions with R5 and R10 exhibited epileptogenic activity, as indicated by the increased relative power of fast and slow gamma waves and total EEG power. R10 triggered arrhythmia and cardiac ischemia as indicated by absence of P wave, along with ST elevation and tall T wave, slowed heart rate and prolonged QRS, QTc, and RR intervals. Conclusion: PISE was resistant to sodium valproate and ramipril. Ramipril at low and moderate doses induced epileptogenic activity and, especially at moderate dose, precipitated cardiac ischemia and arrhythmia. SummaryThe debatable role of ramipril in epilepsy was studied in a rat model of pyridostigmine-induced status epilepticus, compared to sodium valproate. Increasing ramipril doses did not resolve status epilepticus in rats. Instead, low and moderate doses exhibited epileptogenic activity, opposite to high dose ramipril and sodium valproate. Blood pressure was dose-dependently reduced with ramipril. Electrocardiography showed evidence of cardiac arrythmia and ischemia, especially with the moderate ramipril dose. The behavioral and EEG indices correlated with systolic blood pressure and ECG changes.

Background: The health professional appears to be concerned given the number of questions surrounding the patient’s post-transplant survival, patient selection method, and the continuous search for scores that reflect their reality and reconcile the results they desire with the patient’s expectations. It is from these considerations that the present work was born with the purpose of understanding the reality of patients hospitalized for hepatocellular carcinoma and what adherence to the Model For End-Stage Liver Disease (MELD) criteria meant in Brazil. Methods: This study is a discrete, univariate time series on emergency hospitalizations that occurred between 2000 and 2018, in the city of São Paulo, Brazil. Python version 3.11 was the software used for statistical treatment and analysis of the time series. Results: There were 6887 hospitalizations for malignant neoplasm of liver and intrahepatic bile ducts, in the period 2000-2006, of which 2898 were elective and 3915 (56.85%) were urgent in the period. There was an increase of 63.97% in the number of emergency hospitalizations in relation to the period 2000-2006 and 2007-2013. To highlight, in 2013 there were 1270 emergency admissions, which represented an increase of 109.22% in relation to the number of emergency admissions in 2006. The contingency correlation analysis demonstrated a significant association between the variables in which the chi-square value was 82.18, the p-value was 1.24 x 10-19, and the critical value was 3.84 with one degree of freedom. There was a 123.65% increase in the number of hospitalizations for chronic hepatitis, not elsewhere classified, between the periods 2000-2006 and 2007-2013. The chi-square value of the contingency association was 221.22, with a p-value of 4.90 x 10-50, a critical value of 9.488, with a significance level of 5% and one degree of freedom. The study showed an increase in hospitalizations of 21.88% for alcoholic liver disease between the periods 2000-2006 and 2007-2013. In the period 2000-2006, there were 21330 hospitalizations, 19224 of which were urgent (90.13%). In the period 2007-2013, there were 25997 hospitalizations, of which 22,802 (87.71%) occurred urgently. The chi-square value was 68.95, the p-value was 1 x 10-16, and the critical value was 3.84, with one degree of freedom. Conclusion: The MELD score, as it is sensitive to the patient’s severity, selects those who are at an advanced stage of the disease for liver transplantation. In this scenario, patients do not necessarily have access to outpatient services and begin to attend them regularly when MELD identifies the advanced stage of the disease, opening a gap between prevention, treatment, and rehabilitation.

Gilbert’s Syndrome (GS) is a hereditary disease that can cause hyperbilirubinemia due to a mutation in the promoter of the UGT1A1 gene, which causes a decrease in uridine diphosphate glucuronyltransferase enzyme activity. Polymorphisms in the UGT1A1 gene are associated with induced hyperbilirubinemia by Tyrosine Kinase Inhibitors (TKI) in Chronic Myeloid Leukemia (CML). We report a case of patient who developed hepatotoxicity when treated on Imatinib and subsequently diagnosed with Gilbert’s syndrome. Eight months after initiating Imatinib, the patient developed conjunctival jaundice and signs of hepatotoxicity with increase in liver enzymes and hyperbilirubinemia with elevated level of unconjugated bilirubin. Gilbert’s syndrome was suspected in the presence of predominantly unconjugated hyperbilirubinemia and a prior history of transient episodes of jaundice. Genetic testing revealed homozygosity for the UGT1A1 TA7 (*28) polymorphism. Imatinib was stopped due to continuous increase of aminotransferases and hyperbilirubinemia and restarted after improvement of Liver Function Tests (LFTs) with a reduced dose of 200 mg/day but LFTs worsted again, and the patient was switched to Dasatinib 100 mg/day, without hepatic cytolysis and a mild persistent hyperbilirubinemia after a follow up of 20 months.Patients with an unexplained rise in serum bilirubin levels on Imatinib therapy should be screened for the genetic UGT1A1 polymorphisms.

Background: The amygdala is a core structure in the mammalian brain that processes emotion and memory. Its complex neuronal composition and intricate microcircuit mechanisms play key roles in behaviors such as fear, anxiety, and reward. The diversity of neuronal types and the dynamics of these microcircuits provide the neural foundation for the encoding and extinction of fear memories.Aim: This is a retrospective review article summarizing recent research on the amygdala and fear behavior in mice, which is of significant importance in helping people to comprehensively understand and recognize that the amygdala is the core regulator of fear behavior.Methodology: An extensive and systematic search of electronic databases (Medline, PubMed, Web of Science) using keywords related to the amygdala and the technologies involved in the study such as “mouse amygdala,” “basolateral amygdala (BLA),” “central amygdala (CeA),” “fear extinction,” “fear learning,” and “microcircuits.” Articles meeting the selection criteria were included as candidate references.Results: By integrating recent findings from optogenetics, chemogenetics, and single-cell sequencing, this review reveals the interactions between glutamatergic projection neurons and GABAergic interneurons in the amygdala, the functional division between subnuclei, and the neural basis of cross-brain area coordination. Additionally, it discusses the technical challenges in amygdala research and future directions, providing theoretical support for understanding the pathophysiology of emotional disorders.Conclusion: The amygdala is intimately linked to emotional health, playing a critical role in understanding the mechanisms underlying the development of psychiatric disorders such as anxiety, depression, addiction, and post-traumatic stress disorder (PTSD). Despite advances in methodologies such as in vivo calcium imaging, neural circuit tracing, and electrophysiological techniques, which are progressively uncovering the underlying mechanisms of amygdalar regulation of emotional behaviors, the intrinsic microcircuitry of the amygdala remains highly complex. Significant gaps persist, necessitating further exploration and refinement to elucidate unresolved aspects of its functional architecture and behavioral modulation.

Bartholinitis, or Bartholin's gland abscess, is a relatively common gynecological condition among women of reproductive age. Its annual incidence is estimated at approximately 0.5 per 1,000 women, which corresponds to a lifetime cumulative risk of about 2%. The condition primarily affects patients between 20 and 50 years old, with a peak frequency observed between 35 and 50 years.After menopause, due to the natural involution of the gland, Bartholin's cysts and abscesses become less frequent, although they can still occur. Moreover, in women over 50, the appearance of a new mass in the gland region should prompt caution, as it may, in rare cases, indicate a carcinoma of the Bartholin's gland or an adjacent vulvar cancer. Therefore, for patients over 40 presenting with a newly emerged cyst or abscess, clinical guidelines recommend performing a biopsy or excision to rule out malignancy. We present the case of a 50-year-old woman with no significant medical history, who was urgently referred to the gynecological emergency department due to confusion, unexplained fever of 40 °C, and resistant leucorrhoea following a week of corticosteroid antibiotic therapy. Clinical examination revealed a large, tender right vulvar mass, indicative of an acute Bartholin's abscess. The patient exhibited signs of septic shock and was admitted to the ICU. Following a diagnosis of sepsis, broad-spectrum antibiotic therapy was initiated, alongside fluid resuscitation and norepinephrine support. Surgical drainage of the abscess confirmed the presence of E. coli. The patient's condition improved rapidly, and she was discharged on postoperative day 8 with no complications. This case underscores that while Bartholin's abscess is typically benign, severe complications, including septic shock, can occur—especially in patients over 50. The appearance of a new Bartholin's region mass in older women should prompt consideration of malignancy, necessitating biopsy or excision. Recent studies compare various therapeutic approaches including simple incision and drainage, Word catheter placement, marsupialization, silver nitrate application, and complete gland excision. Each method has its advantages and drawbacks, with marsupialization offering lower recurrence rates and higher patient satisfaction in many instances. 

In the digital age, media offenses pose significant threats to privacy and reputation. Digital forensics plays a crucial role in combating these crimes by providing systematic methods and valuable knowledge. This work reviews how the field has proven effective in solving cases and preventing offenses, offering a solid career path for those interested in crime-solving and digital evidence collection.

Cardiovascular Diseases (CVDs) remain a major global health concern, necessitating accurate and comprehensive diagnostic techniques. Traditional medical imaging modalities, such as CT angiography, PET, MRI, and ultrasound, provide crucial but limited information when used independently. Image fusion techniques integrate complementary modalities, enhance visualization, and improve diagnostic accuracy. This paper presents a theoretical study of advanced image fusion methods applied to cardiovascular imaging. We explore wavelet-based, Principal Component Analysis (PCA), and deep learning-driven fusion models, emphasizing their theoretical underpinnings, mathematical formulation, and potential clinical applications. The proposed framework enables improved coronary artery visualization, cardiac function assessment, and real-time hemodynamic analysis, offering a non-invasive and highly effective approach to cardiovascular diagnostics.MSC Codes: 68U10,94A08,92C55,65T60,62H25,68T07.

Methylenetetrahydrofolate Reductase (MTHFR) is an important enzyme of the folate cycle, which is required to convert 5,10-methyltetrahydrofolate into 5-methyltetrahydrofolate (5-methylTHHF). 5-methyl THF is a methyl group donor for several cellular methylation processes. It also donates methyl group for the conversion of homocysteine into methionine, the higher concentration of which is toxic. MTHFR gene C677T polymorphism is clinically important polymorphism and the variant MTHFR (A222V) enzyme has reduced activity, hence increasing the requirement for folic acid. Less conversion of folate to 5-methyl-THF due to C677T polymorphism results in a higher plasma concentration of homocysteine (hyperhomocysteinemia). Individuals having C677T polymorphism are susceptible to various diseases, including reproductive problems like male infertility, polycystic ovary syndrome, Recurrent Pregnancy Loss (RPL), Preeclampsia (PE), placental abruption, and adverse pregnancy outcomes. MTHFR C677T polymorphism mimics folate deficiency, and folate is required for DNA synthesis, repair, methylation, and proper chromosome segregation, and all these processes are important for foetal growth and normal development. Methylation and demethylation processes control the gene expression of about 45% of human genes. Impaired methylation influences the expression of genes involved in the regulation of hormones, spermatogenesis, and oogenesis. In males, oxidative stress damages sperm DNA decreases sperm motility, and may impair fertilization capability. In pregnant women, hyperhomocysteinemia increases oxidative stress and inflammation within the placenta, which causes damage to placental tissue, impairs its function, and disrupts foetal development. Further, hyperhomocysteinemia (HHcy) is embryotoxic and neurotoxic and is responsible for congenital anomalies in the foetus. This review supports the idea that MTHFR C677T polymorphism is associated with an increased risk for male infertility, PCOS, RPL, PE, and congenital anomalies. This review may provide a clue toward a better understanding of the correlation between the MTHFR C677T polymorphism and its detrimental effects on human reproductive health.

The global menace of cancer requires supplementary treatments beyond standard medical approaches for effective medical intervention. The Ketogenic Diet (KD) composed of high fats combined with moderate proteins and low carbohydrates has become popular as a metabolic therapy for cancer. The anti-cancer mechanism of KD works through metabolic stress induction in cancer cells, reduced insulin and IGF-1 signaling pathways, improved mitochondrial function, inflammation, and immune regulation. Standard cancer treatments receive enhanced outcomes through KD synergistic action which simultaneously decreases treatment-related side effects. To achieve optimized treatment outcomes in cancer, ketogenic diet practitioners need to use personalized nutritional planning in combination with metabolic tracking and exogenous ketone supplements. It is essential to find solutions for diet adherence issues and nutrient deficiencies because they determine KD’s effectiveness as a cancer treatment. The fight against cancer needs sustained and multipronged clinical research and validation to establish the proper implementation of this method.