Articles

Purpose: The purpose of this study was to investigate whether a different indocyanine green lymphography formula can reduce the severe pain encountered during this investigation.Methods: Indocyanine green ICG lymphography frequently induces severe and intolerable pain in patients. It is very important to develop a relatively painless lymphography method. This helps reduce patients’ apprehension during examination. Our center conducted randomized control groups of 60 patients with limb lymphedema. Cases were divided into experimental and control groups. Patients in the experimental group were injected with indocyanine green solution containing 5% glucose, while patients in the control group were injected with indocyanine green solution with sterile water.VAS scores were recorded pre-injection, during, and at 10, 20, and 30 minutes post-injection. We recorded possible side effects, e.g. skin redness, itching, subcutaneous bleeding, bruising, severe allergic reactions, and other complications within 24 and 48 hours after imaging, and analyzed the pain score data. Results: The average pain score of the experimental group was 0-3 points, while the control group was 6-8 points. Disease staging was accurately assessed based on imaging results . No other serious complications occurred.Conclusion: Pain can be significantly reduced by the new modality. This method does not affect lymphography results and imaging quality, and there are no obvious serious complications.

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.

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.

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.

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.

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.

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.