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This review examines the significant influence of Digital Twins (DTs) and their variant, Digital Human Twins (DHTs), on the healthcare field. DTs represent virtual replicas that encapsulate both medical and physiological characteristics—such as tissues, organs, and biokinetic data—of patients. These virtual models facilitate a deeper understanding of disease progression and enhance the customization and optimization of treatment plans by modeling complex interactions between genetic factors and environmental influences. By establishing dynamic, bidirectional connections between the DTs of physical objects and their digital counterparts, these technologies enable real-time data exchange, thereby transforming electronic health records. Leveraging the increasing availability of extensive historical datasets from clinical trials and real-world sources, AI models can now generate comprehensive predictions of future health outcomes for specific patients in the form of AI-generated DTs. Such models can also offer insights into potential diagnoses, disease progression, and treatment responses. This remarkable progression in healthcare paves the way for precision medicine and personalized health, allowing for high-level individualized medical interventions and therapies. However, the integration of DTs into healthcare faces several challenges, including data security, accessibility, bias, and quality. Addressing these obstacles is crucial to realizing the full potential of DHTs, heralding a new era of personalized, precise, and accurate medicine. [ABSTRACT FROM AUTHOR]

Background: This study investigated alternative, non-invasive methods for human papillomavirus (HPV) detection in head and neck cancers (HNCs). We compared two approaches: analyzing computed tomography (CT) scans with a Deep Learning (DL) model and using radiomic features extracted from CT images with machine learning (ML) models. Methods: Fifty patients with histologically confirmed HNC were included. We first trained a modified ResNet-18 DL model on CT data to predict HPV status. Next, radiomic features were extracted from manually segmented regions of interest near the oropharynx and used to train four ML models (K-Nearest Neighbors, logistic regression, decision tree, random forest) for the same purpose. Results: The CT-based model achieved the highest accuracy (90%) in classifying HPV status. Among the ML models, K-Nearest Neighbors performed best (80% accuracy). Weighted Ensemble methods combining the CT-based model with each ML model resulted in moderate accuracy improvements (70–90%). Conclusions: Our findings suggest that CT scans analyzed by DL models hold promise for non-invasive HPV detection in HNC. Radiomic features, while less accurate in this study, offer a complementary approach. Future research should explore larger datasets and investigate the potential of combining DL and radiomic techniques. [ABSTRACT FROM AUTHOR]

This study aimed to compare the commercial dosimetric software Planet® Dose (version 3.1.1) from DOSIsoft and the open-source toolkit GATE. Dosimetry was performed for six patients receiving 200 mCi of Lutathera® every 8 weeks for four treatment cycles. For the dose calculation with Planet®, SPECT/CT images were acquired at 4, 24, 72 and 192 h post-injection. After the registration of all the time points to T0, the organs of interest (OOIs) were segmented. Time-activity curves were produced and the absorbed dose was calculated using the bi- and tri-exponential fitting methods. Regarding GATE simulations, the SPECT images of the 24 h time point were utilized for the radiopharmaceutical biodistribution in the OOIs and the attenuation maps were produced using the CT images. For liver and spleen, the average relative difference between GATE and Planet® was 9.6% and 11.1% for biexponential and 12.4% and 30.5% for triexponential fitting, respectively. The right and left kidneys showed differences up to 10.7% and 10.4% for the biexponential and up to 60.6% and 11.9% for the triexponential model, respectively. The absorbed dose calculated with GATE, Planet®(bi-exp) and Planet®(tri-exp) was in agreement with the literature. The results of the bi-exponential fitting were similar to the GATE-resulted calculations, while the tri-exponential fitting had a higher relative difference. [ABSTRACT FROM AUTHOR]

Objectives: Atherosclerosis is a significant factor affecting long-term outcome in renal transplant recipients. Studies have been conducted to determine the pharmacogenomic pathways involved in statin efficacy, efficiency, and adverse effect likelihood. However, little is known about the influence of statins on tacrolimus kinetics. The aim of this study was to investigate possible pharmacological interactions between tacrolimus and statins in CYP3A5 non-expressors, renal transplant recipients. Materials and Methods: Twenty-four patients, treated with tacrolimus (n=24), methylprednisolone (n=24), and mycophenolate mofetil (n=19)/azathioprine (n=1)/ everolimus (n=4), participated in the study. After an observation time of 112±36 days, statins, namely, atorvastatin (n=12), simvastatin (n=8), pravastatin (n=2), or fluvastatin (n=2), were administered for additional 101±34 days. DNA was extracted from whole blood sample and polymerase chain reaction followed by restriction fragment length polymorphism analysis was used for CYP3A5 genotyping. Student's t-test and Mann- Whitney test were used to test the significance of difference in variables that passed or did not pass Kolmogorov's normality test, respectively. Results: No statistically significant difference was observed in tacrolimus daily dose, concentration, concentration/dose ratio, and volume of distribution before and during the administration of statins. Statistically significant decrease in serum cholesterol was observed after initiation of statins. Renal and hepatic function remained unchanged and no skeletal muscle abnormalities were reported. Conclusions: The results of this study show that tacrolimus and statins do not interact in terms of efficacy, efficiency, and adverse effect likelihood. No significant clinical interaction or effect was observed, even with the use of atorvastatin or simvastatin, which are metabolized by CYP3A4 such as tacrolimus. [ABSTRACT FROM AUTHOR]

Background/introduction: To evaluate the performance of pre-trained deep learning schemes (DLS) in hepatic steatosis (HS) grading of Non-Alcoholic Fatty Liver Disease (NAFLD) patients, using as input B-mode US images containing right kidney (RK) cortex and liver parenchyma (LP) areas indicated by an expert radiologist., Methods: A total of 112 consecutively enrolled, biopsy-validated NAFLD patients underwent a regular abdominal B-mode US examination. For each patient, a radiologist obtained a B-mode US image containing RK cortex and LP and marked a point between the RK and LP, around which a window was automatically cropped. The cropped image dataset was augmented using up-sampling, and the augmented and non-augmented datasets were sorted by HS grade. Each dataset was split into training (70%) and testing (30%), and fed separately as input to InceptionV3, MobileNetV2, ResNet50, DenseNet201, and NASNetMobile pre-trained DLS. A receiver operating characteristic (ROC) analysis of hepatorenal index (HRI) measurements by the radiologist from the same cropped images was used for comparison with the performance of the DLS., Results: With the test data, the DLS reached 89.15 %-93.75 % accuracy when comparing HS grades S0-S1 vs. S2-S3 and 79.69 %-91.21 % accuracy for S0 vs. S1 vs. S2 vs. S3 with augmentation, and 80.45-82.73 % accuracy when comparing S0-S1 vs. S2-S3 and 59.54 %-63.64 % accuracy for S0 vs. S1 vs. S2 vs. S3 without augmentation. The performance of radiologists' HRI measurement after ROC analysis was 82 %, 91.56 %, and 96.19 % for thresholds of S ≥ S1, S ≥ S2, and S = S3, respectively., Conclusion: All networks achieved high performance in HS assessment. DenseNet201 with the use of augmented data seems to be the most efficient supplementary tool for NAFLD diagnosis and grading., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Associazione Italiana di Fisica Medica e Sanitaria. Published by Elsevier Ltd. All rights reserved.)

Aortoenteric fistula (AEF) is defined as the abnormal communication between the aorta and the gastrointestinal tract. AEFs are divided into primary and secondary usually after abdominal aortic aneurysm (AAA) recovery and are a rare but quite dangerous cause of gastrointestinal bleeding that the general surgeon may face during his/her career. Secondary AEF was first described in 1953 to a 44-year-old woman 3 months after an AAA operation. This review presents the role of the surgeon in the management of secondary aortoenteric fistulas. AEFs are a rare but fatal gastrointestinal bleeding cause that the general surgeon may be asked to manage. Diagnosis requires the combination of strong clinical suspicion and the presence of a history of AAA surgery. Although a vascular surgery case, general surgeons play a role in choosing the technique of restoring the intestinal tract, which seems to be significantly related to subsequent morbidity and mortality., Competing Interests: The authors declare no conflict of interest., (Copyright: © 2024 Termedia & Banach.)

The perioperative management of patients undergoing mediastinal mass operations presents a persistent challenge across multiple clinical specialties. General anesthesia administration further increases the risk of perioperative cardiorespiratory decompensation. The interdisciplinary team plays a crucial role in ensuring a safe perioperative period. However, due to the rarity and variability of mediastinal mass syndromes, specific management protocols are lacking. This review aims to outline the multitude of challenges and pitfalls encountered during perioperative management in patients with the mediastinal mass syndrome. We describe diagnostic evaluation, preoperative optimization, intraoperative considerations, and postoperative care strategies, emphasizing the paramount significance of a multidisciplinary approach and personalized treatment plans. Preoperative multidisciplinary discussions, meticulous anesthetic management, and well-established protocols for emergency situations are pivotal to ensuring patient safety. Healthcare providers involved in the care of patients with mediastinal mass syndrome must grasp these challenges and pitfalls, enabling them to deliver safe and effective perioperative management., Competing Interests: The authors report no conflict of interest., (Copyright: © 2023 Polish Society of Cardiothoracic Surgeons (Polskie Towarzystwo KardioTorakochirurgów) and the editors of the Polish Journal of Cardio-Thoracic Surgery (Kardiochirurgia i Torakochirurgia Polska).)

Doege-Potter syndrome (DPS), a rare paraneoplastic phenomenon characterised by non-islet cell tumour hypoglycaemia (NICTH), presents clinicians with intricate diagnostic and therapeutic challenges. This comprehensive review consolidates current understanding, clinical presentations, diagnostic modalities, therapeutic interventions, and emerging trends in managing DPS. The pathophysiology of DPS revolves around dysregulated insulin-like growth factors (IGF), particularly IGF-2, produced by mesenchymal tumours, notably solitary fibrous tumours (SFT). Clinical manifestations encompass recurrent hypoglycaemic episodes, often distinct from typical hypoglycaemia, with implications for insulin and counterregulatory hormone levels. Diagnosis necessitates a multidisciplinary approach integrating biochemical assays, imaging studies, and histopathological confirmation of the underlying neoplasm. Surgical resection remains the cornerstone of treatment, complemented by adjunctive therapies to manage persistent hypoglycaemia. Prognosis is influenced by successful tumour resection and long-term surveillance for recurrence. A patient-centred approach, incorporating supportive services and multidisciplinary care, is essential for optimal outcomes in individuals affected by DPS., Competing Interests: The authors declare no conflict of interest., (Copyright: © 2024 Termedia & Banach.)

Introduction: Chronic venous disease (CVD) constitutes a frequently underdiagnosed pathological condition that progressively diminishes patients' quality of life and imposes an escalating strain on healthcare resources. This study aims to comprehensively investigate the epidemiological landscape of varicose vein disease, examining age group distributions, gender patterns, residence influences, marital status correlations, weight considerations, educational impacts, and various aspects related to varicose veins., Material and Methods: This was a single-centre retrospective analysis, in Albania from May 2018 to September 2023. Data were collected retrospectively through hospital records. Data collection involved administering a structured questionnaire to study participants, categorically organised into three sections. The first section focused on collecting demographic information, the second section involved self-perception of identifying risk factors associated with varicose veins, and the final section included inquiries about the history of variceal surgery., Results: The CEAP classification distribution in our cohort revealed a predominant presence of C2 (varicose veins) in 53.3% of patients, followed by C3 (oedema) at 29.2%, and C4 (changes in skin and subcutaneous tissue secondary to CVD) at 10.5%, whereas C5 (healed venous ulcer) and C6 (active venous ulcer) were less frequent. Based on the body mass index (BMI) scale, data from patients indicated that 9.7% were in the category of underweight, 54.8% had a normal BMI, and 35.5% were categorised as overweight., Conclusions: The study's thorough exploration of patient perspectives, risk factors, and treatment choices contributes to a holistic understanding of varicose vein management, emphasising the importance of personalised approaches that account for demographic variations and individual beliefs., Competing Interests: The authors declare no conflict of interest., (Copyright: © 2024 Termedia & Banach.)

Background: Vasospasm is a major cause of ischemic neurological deficits developing after subarachnoid hemorrhage. The goal was to identify hemodynamic changes and the presence of clinical vasospasm in patients suffering from subarachnoid hemorrhage secondary to ruptured intracranial aneurysms., Material/methods: Pre- and postoperative serial transcranial cerebral oximetry and transcranial doppler sonography (TCD) examinations were performed in 75 patients operated for aneurysmal subarachnoid hemorrhage., Results: No significant difference (p=0.14) was found in the levels of regional oxygen saturation (rSO2) between patients with vasospasm and those without. In patients who developed clinical vasospasm, the blood flow velocity values were significantly higher compared with those who did not (127.5+/-2.7 versus 92.5+/-1.2 cm/sec, p<0.001). In six patients with clinical vasospasm and low TCCO measurements, the use of triple-H therapy led to oxygen saturation increment and clinical improvement., Conclusions: Transcranial cerebral oximetry seems to be of limited value for the detection of vasospasm in patients with subarachnoid hemorrhage. However, it may be useful in estimating the clinical impact of triple-H therapy in such patients.