Substitution of a single non-coding nucleotide upstream of TMEM216 causes non-syndromic retinitis pigmentosa and is associated with reduced TMEM216 expression.

Genome analysis of individuals affected by retinitis pigmentosa (RP) identified two rare nucleotide substitutions at the same genomic location on chromosome 11 (g.61392563 [GRCh38]), 69 base pairs upstream of the start codon of the ciliopathy gene TMEM216 (c.-69G>A, c.-69G>T [GenBank: NM_001173991.3]), in individuals of South Asian and African ancestry, respectively. Genotypes included 71 homozygotes and 3 mixed heterozygotes in trans with a predicted loss-of-function allele. Haplotype analysis showed single-nucleotide variants (SNVs) common across families, suggesting ancestral alleles within the two distinct ethnic populations. Clinical phenotype analysis of 62 available individuals from 49 families indicated a similar clinical presentation with night blindness in the first decade and progressive peripheral field loss thereafter. No evident systemic ciliopathy features were noted. Functional characterization of these variants by luciferase reporter gene assay showed reduced promotor activity. Nanopore sequencing confirmed the lower transcription of the TMEM216 c.-69G>T allele in blood-derived RNA from a heterozygous carrier, and reduced expression was further recapitulated by qPCR, using both leukocytes-derived RNA of c.-69G>T homozygotes and total RNA from genome-edited hTERT-RPE1 cells carrying homozygous TMEM216 c.-69G>A. In conclusion, these variants explain a significant proportion of unsolved cases, specifically in individuals of African ancestry, suggesting that reduced TMEM216 expression might lead to abnormal ciliogenesis and photoreceptor degeneration.

Inadequate intakes of fatty acids attributed to the ultra-processed foods consumed by Portuguese population: The upper project.

BACKGROUND AND AIMS: Population-based studies suggest an inverse relationship between the dietary share of ultra-processed foods (UPF), as defined by NOVA classification, and the overall dietary nutritional quality. However, few studies have evaluated the impact of ultra-processed foods on the fatty acid profile of the diet. The aim of this study was to assess the association between consumption of UPF and the fatty acids profile of the diet in Portugal. METHODS AND RESULTS: Cross-sectional data from IAN-AF 2015-2016 were used for this study. Food consumption data were collected through two 24-h food recalls, and food items were classified according to the NOVA system. For both adults and elderly, the contents of total fatty acids (TFA), saturated fatty acids (SFA) and trans fatty (TRFA) were higher in the fraction of UPF, compared to the other three NOVA groups, while [monounsaturated fatty acids (MUFA)+, polyunsaturated fatty acids (PUFA)/SFA] ratio was lower. The UPF population attributable fraction (PAF) demonstrated that if the dietary contribution of UPF was reduced to levels observed in the first quintile, statistically significant reductions in the prevalence of inadequate intakes of fatty acids would be observed for adults [TRFA (PAF 98.37%, 95% CI 87.27-99.79) and SFA (PAF 37.26%, 95% CI 25.46-47.19)] and for elderly [TRFA (PAF 94.61%, 95% CI 77.59-98.71) and PUFA (PAF 98.28, 95% CI 48.22-99.94)]. CONCLUSIONS: In this study the consumption of UPF was associated with a worse fatty acids profile in the Portuguese diet, adding evidence regarding the negative impact of UPF on diet quality.

iPSC-derived lung and lung cancer organoid model to evaluate cisplatin encapsulated autologous iPSC-derived mesenchymal stromal cell-isolated extracellular vesicles.

BACKGROUND: Lung cancer remains a leading cause of cancer-related mortality globally. Although recent therapeutic advancements have provided targeted treatment approaches, the development of resistance and systemic toxicity remain primary concerns. Extracellular vesicles (EVs), especially those derived from mesenchymal stromal cells (MSC), have gained attention as promising drug delivery systems, offering biocompatibility and minimal immune responses. Recognizing the limitations of conventional 2D cell culture systems in mimicking the tumor microenvironment, this study aims to describe a proof-of-principle approach for using patient-specific organoid models for both lung cancer and normal lung tissue and the feasibility of employing autologous EVs derived from induced pluripotent stem cell (iPSC)-MSC in personalized medicine approaches. METHODS: First, we reprogrammed healthy fibroblasts into iPSC. Next, we differentiated patient-derived iPSC into branching lung organoids (BLO) and generated patient-matched lung cancer organoids (LCO) from patient-derived tumor tissue. We show a streamlined process of MSC differentiation from iPSC and EV isolation from iPSC-MSC, encapsulated with 0.07 µg/mL of cytotoxic agent cisplatin and applied to both organoid models. Cytotoxicity of cisplatin and cisplatin-loaded EVs was recorded with LDH and CCK8 tests. RESULTS: Fibroblast-derived iPSC showed a normal karyotype, pluripotency staining, and trilineage differentiation. iPSC-derived BLO showed expression of lung markers, like TMPRSS2 and MUC5A while patient-matched LCO showed expression of Napsin and CK5. Next, we compared the effects of iPSC-MSC derived EVs loaded with cisplatin against empty EVs and cisplatin alone in lung cancer organoid and healthy lung organoid models. As expected, we found a cytotoxic effect when LCO were treated with 20 µg/mL cisplatin. Treatment of LCO and BLO with empty EVs resulted in a cytotoxic effect after 24 h. However, EVs loaded with 0.07 µg/mL cisplatin failed to induce any cytotoxic effect in both organoid models. CONCLUSION: We report on a proof-of-principle pipeline towards using autologous or allogeneic iPSC-MSC EVs as drug delivery tests for lung cancer in future. However, due to the time and labor-intensive processes, we conclude that this pipeline might not be feasible for personalized approaches at the moment.

Biomechanical strategies for mitigating unexpected slips: A review.

Slips are the leading cause of falls, and understanding slip biomechanics is crucial for preventing falls and mitigating their negative consequences. This study analyses human biomechanical responses to slips, including kinetic, kinematic, spatiotemporal, and EMG variables. We reviewed 41 studies investigating slip-induced falls in lab settings, computational models, and training approaches. Our analysis focused on reactions and effects of factors like age, fatigue, strength, perturbation intensity, and gait speed. Trailing limbs' hip extension and knee flexion interrupt the swing phase earlier, increasing the support base. The slipping leg responds with two phases: hip extension and knee flexion, then hip flexion and knee extension. Furthermore, our analysis revealed that the medial hamstring muscles play an active role in slip recoveries. Their activation in the slipping limb allows for hip extension and knee flexion, while in the trailing limb, their activation results in the foot touching down. Additionally, successful slip recoveries were associated with co-contraction of the Tibialis Anterior (TA) and Medial Gastrocnemius (MG), which increases ankle joint stability and facilitates foot contact with the ground. Our review identifies various factors that influence biomechanical and muscular responses to slips, including age, perturbation intensity, gait speed, muscular fatigue, and muscular strength. These findings have important implications for designing interventions to prevent slip-related falls, including cutting-edge technology devices based on a deeper understanding of slip recoveries. Future research should explore the complex interplay between biomechanics, muscle activation patterns, and environmental factors to improve slip-fall prevention strategies.

Genetic Testing of Patients with Inherited Retinal Diseases in the European Countries: An International Survey by the European Vision Institute.

INTRODUCTION: The purpose of this project was to explore the current standards of clinical care genetic testing and counseling for patients with inherited retinal diseases (IRDs) from the perspective of leading experts in selected European countries. Also, to gather opinions on current bottlenecks and future solutions to improve patient care. METHODS: On the initiative of the European Vision Institute, a survey questionnaire with 41 questions was designed and sent to experts in the field from ten European countries. Each participant was asked to answer with reference to the situation in their own country. RESULTS: Sixteen questionnaires were collected by November 2023. IRD genetic tests are performed in clinical care settings for 80% or more of tested patients in 9 countries, and the costs of genetic tests in clinical care are covered by the public health service to the extent of 90% or more in 8 countries. The median proportion of patients who are genetically tested, the median rate of genetically solved patients among those who are tested, and the median proportion of patients receiving counseling are 51-70%, 61-80%, and 61-80%, respectively. Improving the education of healthcare professionals who facilitate patient referrals to specialized centers, improving access of patients to more thorough genotyping, and increasing the number of available counselors were the most advocated solutions. CONCLUSION: There is a significant proportion of IRD patients who are not genetically tested, whose genetic testing is inconclusive, or who do not receive counseling. Educational programs, greater availability of state-of-the-art genotyping and genetic counselors could improve healthcare for IRD patients.

Integrating sEMG and IMU Sensors in an e-Textile Smart Vest for Forward Posture Monitoring: First Steps.

Currently, the market for wearable devices is expanding, with a growing trend towards the use of these devices for continuous-monitoring applications. Among these, real-time posture monitoring and assessment stands out as a crucial application given the rising prevalence of conditions like forward head posture (FHP). This paper proposes a wearable device that combines the acquisition of electromyographic signals from the cervical region with inertial data from inertial measurement units (IMUs) to assess the occurrence of FHP. To improve electronics integration and wearability, e-textiles are explored for the development of surface electrodes and conductive tracks that connect the different electronic modules. Tensile strength and abrasion tests of 22 samples consisting of textile electrodes and conductive tracks produced with three fiber types (two from Shieldex and one from Imbut) were conducted. Imbut's Elitex fiber outperformed Shieldex's fibers in both tests. The developed surface electromyography (sEMG) acquisition hardware and textile electrodes were also tested and benchmarked against an electromyography (EMG) gold standard in dynamic and isometric conditions, with results showing slightly better root mean square error (RMSE) values (for 4 × 2 textile electrodes (10.02%) in comparison to commercial Ag/AgCl electrodes (11.11%). The posture monitoring module was also validated in terms of joint angle estimation and presented an overall error of 4.77° for a controlled angular velocity of 40°/s as benchmarked against a UR10 robotic arm.

Medication Use Among Pregnant Women With SARS-CoV-2 Infection and Risk of Hospitalization-A Study in Two Brazilian Hospitals.

There is limited evidence about the use of medications among pregnant women with COVID-19, as well as risk factors for hospitalization due to COVID-19 in pregnancy. We aimed to describe the use of medications among SARS-CoV-2-positive pregnant women at the time around infection and identify predictors for hospitalization due to COVID-19 in two hospitals in Brazil. This is a hospital record-based study among pregnant women with positive SARS-CoV-2 tests between March 2020 and August 2022 from two Brazilian hospitals. Characteristics of sociodemographic, obstetrical, and COVID-19 symptoms were extracted retrospectively. The prevalence use of medications was based on self-reported use, and this was administered at the hospital. Logistic regression was used to estimate predictors of hospitalization due to COVID-19. There were 278 pregnant women included in the study, of which 41 (14.7%) required hospitalization due to COVID-19. The remaining 237 (85.3%) had mild symptoms or were asymptomatic. Most of the women had the infection in the third trimester (n = 149; 53.6%). The most prevalent medications used across all trimesters were analgesics (2.4% to 20.0%), antibacterials (15.0% to 23.1%), and corticosteroids (7.2% to 10.4%). Pre- or gestational hypertensive disorder (odds ratio (OR) 4.94, 95% confidence interval (CI) 1.65, 14.87) and having at least one dose of vaccine against SARS-CoV-2 (OR 0.13, 95% CI 0.04, 0.39) were associated with hospitalization due to COVID-19. Analgesics, antibacterials, and corticosteroids were the most frequently used medications among pregnant women with COVID-19. Women with hypertensive disorders have almost a five-fold increased risk of hospitalization due to COVID-19. Vaccination was the strongest protective factor for severe COVID-19. The COVID-19 vaccination among pregnant women should be promoted, and pregnant women diagnosed with COVID-19 who have hypertensive disorders should be closely monitored.

Plasma neurofilament light chain levels in chemotherapy-induced peripheral neurotoxicity according to type of anticancer drug.

BACKGROUND AND PURPOSE: A real-time biomarker in chemotherapy-induced peripheral neurotoxicity (CIPN) would be useful for clinical decision-making during treatment. Neurofilament light chain (NfL) can be detected in blood in the case of neuroaxonal damage. The aim of the study was to compare the levels of plasma NfL (pNfL) according to the type of chemotherapeutic agent and the severity of CIPN. METHODS: This single-center prospective observational longitudinal study included patients treated with paclitaxel (TX; n = 34), brentuximab vedotin (BV; n = 29), or oxaliplatin (PT; n = 19). All patients were assessed using the Total Neuropathy Score-clinical version and Common Terminology Criteria for Adverse Events before, during, and up to 6-12 months after the end of treatment. Nerve conduction studies (NCS) were performed before and after chemotherapy discontinuation. Consecutive plasma samples were analyzed for NfL levels using a Simoa® analyzer. Changes in pNfL were compared between groups and were eventually correlated with clinical and NCS data. Clinically relevant (CR) CIPN was considered to be grade ≥ 2. RESULTS: Eighty-two patients, mostly women (59.8%), were included. One third of the patients who received TX (29.4%), BV (31%), or PT (36.8%) developed CR-CIPN, respectively, without differences among them (p = 0.854). Although pNfL significantly increased during treatment and decreased throughout the recovery period in all three groups, patients receiving TX showed significantly greater and earlier changes in pNfL levels compared to the other agents (p < 0.001). CONCLUSIONS: A variable change in pNfL is observed depending on the type of agent and mechanism of neurotoxicity with comparable CIPN severity, strongly implying the need to identify different cutoff values for each agent.

Human-in-the-Loop Optimization of Knee Exoskeleton Assistance for Minimizing User's Metabolic and Muscular Effort.

Lower limb exoskeletons have the potential to mitigate work-related musculoskeletal disorders; however, they often lack user-oriented control strategies. Human-in-the-loop (HITL) controls adapt an exoskeleton's assistance in real time, to optimize the user-exoskeleton interaction. This study presents a HITL control for a knee exoskeleton using a CMA-ES algorithm to minimize the users' physical effort, a parameter innovatively evaluated using the interaction torque with the exoskeleton (a muscular effort indicator) and metabolic cost. This work innovates by estimating the user's metabolic cost within the HITL control through a machine-learning model. The regression model estimated the metabolic cost, in real time, with a root mean squared error of 0.66 W/kg and mean absolute percentage error of 26% (n = 5), making faster (10 s) and less noisy estimations than a respirometer (K5, Cosmed). The HITL reduced the user's metabolic cost by 7.3% and 5.9% compared to the zero-torque and no-device conditions, respectively, and reduced the interaction torque by 32.3% compared to a zero-torque control (n = 1). The developed HITL control surpassed a non-exoskeleton and zero-torque condition regarding the user's physical effort, even for a task such as slow walking. Furthermore, the user-specific control had a lower metabolic cost than the non-user-specific assistance. This proof-of-concept demonstrated the potential of HITL controls in assisted walking.

The socioeconomic epidemiology of inherited retinal diseases in Portugal.

BACKGROUND: Inherited retinal diseases (IRDs) are a group of rare degenerative disorders of the retina that can lead to blindness from birth to late middle age. Knowing the target population and its resources is essential to better plan support measures. The aim of this study was to evaluate the socioeconomic characteristics of regions in Portugal where IRD patients reside to inform the planning of vision aid and rehabilitation intervention measures. RESULTS: This study included 1082 patients from 973 families, aged 3 to 92 years, with a mean age of 44.8 ± 18.1 years. Patients living with an IRD were identified in 190 of the 308 municipalities. According to this study, the estimated IRD prevalence in Portugal was 10.4 per 100,000 inhabitants, and by municipalities, it ranged from 0 to 131.2 per 100,000 inhabitants. Overall, regions with a higher prevalence of IRD have a lower population density (r=-0.371, p < 0.001), a higher illiteracy rate (r = 0.404, p < 0.001) and an overall older population (r = 0.475, p < 0.001). Additionally, there is a lower proportion of doctor per capita (r = 0.350, p < 0.001), higher social security pensions beneficiaries (r = 0.439, p < 0.001), worse water quality for human consumption (r=-0.194, p = 0.008), fewer audiences at the cinema (r=-0.315, p < 0.001) and lower proportion of foreign guests in tourist accommodations (r=-0.287, p < 0.001). CONCLUSION: The number of identified patients with IRD varied between regions. Using data from national statistics (PORDATA), we observed differences in socioeconomic characteristics between regions. Multiple targeted aid strategies can be developed to ensure that all IRD patients are granted full clinical and socioeconomic support.

Assessment of patient-reported outcomes measures in heart failure: a systematic review.

Heart failure (HF) is a prevalent global disease, particularly impacting developed countries. With the world's aging population, HF's impact on the quantity and quality of life is expected to grow. This review aims to ascertain the frequency, characteristics, and properties of all patient-reported outcomes measures (PROMs) studied in HF patients. We searched Ovid/Medline and Web of Science for original articles about PROMs performed in adults with HF. Using pre-established quality criteria for measurement properties, an overall rating was assigned to evaluate and compare different instruments. The quality of evidence was assessed with the COSMIN risk of bias checklist. Of 4283 records identified, we reviewed 296 full-text documents and included 64 papers, involving 30,185 participants. Thirty different PROMs were identified, with 14 specifically designed for HF being the most commonly used. Minnesota Living with Heart Failure (MLHF) and Kansas City Cardiomyopathy Questionnaire (KCCQ) were evaluated 16 and 13 times, respectively, demonstrating good psychometric properties. The MacNew Heart Disease Health-Related Quality of Life Questionnaire, a common heart disease-specific instrument, exhibited negative performances across various psychometric measures. Evidence for generic instruments was scant and unremarkable and they proved to be less responsive in HF populations. MLHF and KCCQ emerged as the most commonly used and well-supported PROMs, with robust overall evidence. They are comprehensive and accurate instruments, particularly suitable for application in clinical practice and research. Future research should explore how computer-adapted instruments can enhance precision, reduce respondent burden, and improve communication between clinicians and patients, thereby promoting more efficient and patient-centered services.

Evaluating the User Experience of a Smartphone-Delivered Sexual Health Promotion Program for Older Adults in the Netherlands: Single-Arm Pilot Study.

BACKGROUND: Sexual health is an important component of quality of life in older adults. However, older adults often face barriers to attaining a fulfilling sexual life because of issues such as stigma, lack of information, or difficult access to adequate support. OBJECTIVE: We aimed to evaluate the user experience of a self-guided, smartphone-delivered program to promote sexual health among older adults. METHODS: The mobile app was made available to community-dwelling older adults in the Netherlands, who freely used the app for 8 weeks. User experience and its respective components were assessed using self-developed questionnaires, the System Usability Scale, and semistructured interviews. Quantitative and qualitative data were descriptively and thematically analyzed, respectively. RESULTS: In total, 15 participants (mean age 71.7, SD 9.5 years) completed the trial. Participants showed a neutral to positive stance regarding the mobile app's usefulness and ease of use. Usability was assessed as "Ok/Fair." The participants felt confident about using the mobile app. To increase user experience, participants offered suggestions to improve content and interaction, including access to specialized sexual health services. CONCLUSIONS: The sexual health promotion program delivered through a smartphone in a self-guided mode was usable. Participants' perception is that improvements to user experience, namely in content and interaction, as well as connection to external services, will likely improve usefulness and acceptance.

Feasibility and Acceptability of Pediatric Smartphone Lung Auscultation by Parents: Cross-Sectional Study.

Background: The use of a smartphone built-in microphone for auscultation is a feasible alternative to the use of a stethoscope, when applied by physicians. Objective: This cross-sectional study aims to assess the feasibility of this technology when used by parents-the real intended end users. Methods: Physicians recruited 46 children (male: n=33, 72%; age: mean 11.3, SD 3.1 y; children with asthma: n=24, 52%) during medical visits in a pediatric department of a tertiary hospital. Smartphone auscultation using an app was performed at 4 locations (trachea, right anterior chest, and right and left lung bases), first by a physician (recordings: n=297) and later by a parent (recordings: n=344). All recordings (N=641) were classified by 3 annotators for quality and the presence of adventitious sounds. Parents completed a questionnaire to provide feedback on the app, using a Likert scale ranging from 1 ("totally disagree") to 5 ("totally agree"). Results: Most recordings had quality (physicians' recordings: 253/297, 85.2%; parents' recordings: 266/346, 76.9%). The proportions of physicians' recordings (34/253, 13.4%) and parents' recordings (31/266, 11.7%) with adventitious sounds were similar. Parents found the app easy to use (questionnaire: median 5, IQR 5-5) and were willing to use it (questionnaire: median 5, IQR 5-5). Conclusions: Our results show that smartphone auscultation is feasible when performed by parents in the clinical context, but further investigation is needed to test its feasibility in real life.

Detection of elusive DNA copy-number variations in hereditary disease and cancer through the use of noncoding and off-target sequencing reads.

Copy-number variants (CNVs) play a substantial role in the molecular pathogenesis of hereditary disease and cancer, as well as in normal human interindividual variation. However, they are still rather difficult to identify in mainstream sequencing projects, especially involving exome sequencing, because they often occur in DNA regions that are not targeted for analysis. To overcome this problem, we developed OFF-PEAK, a user-friendly CNV detection tool that builds on a denoising approach and the use of "off-target" DNA reads, which are usually discarded by sequencing pipelines. We benchmarked OFF-PEAK on data from targeted sequencing of 96 cancer samples, as well as 130 exomes of individuals with inherited retinal disease from three different populations. For both sets of data, OFF-PEAK demonstrated excellent performance (>95% sensitivity and >80% specificity vs. experimental validation) in detecting CNVs from in silico data alone, indicating its immediate applicability to molecular diagnosis and genetic research.

Paradoxical Activation of Oncogenic Signaling as a Cancer Treatment Strategy.

Cancer homeostasis depends on a balance between activated oncogenic pathways driving tumorigenesis and engagement of stress response programs that counteract the inherent toxicity of such aberrant signaling. Although inhibition of oncogenic signaling pathways has been explored extensively, there is increasing evidence that overactivation of the same pathways can also disrupt cancer homeostasis and cause lethality. We show here that inhibition of protein phosphatase 2A (PP2A) hyperactivates multiple oncogenic pathways and engages stress responses in colon cancer cells. Genetic and compound screens identify combined inhibition of PP2A and WEE1 as synergistic in multiple cancer models by collapsing DNA replication and triggering premature mitosis followed by cell death. This combination also suppressed the growth of patient-derived tumors in vivo. Remarkably, acquired resistance to this drug combination suppressed the ability of colon cancer cells to form tumors in vivo. Our data suggest that paradoxical activation of oncogenic signaling can result in tumor-suppressive resistance. Significance: A therapy consisting of deliberate hyperactivation of oncogenic signaling combined with perturbation of the stress responses that result from this is very effective in animal models of colon cancer. Resistance to this therapy is associated with loss of oncogenic signaling and reduced oncogenic capacity, indicative of tumor-suppressive drug resistance.

Single Step Isolation of Extracellular Vesicles from Large-Volume Samples with a Bifurcated A4F Microfluidic Device.

Extracellular vesicles (EVs) hold immense potential for various biomedical applications, including diagnostics, drug delivery, and regenerative medicine. Nevertheless, the current methodologies for isolating EVs present significant challenges, such as complexity, time consumption, and the need for bulky equipment, which hinders their clinical translation. To address these limitations, we aimed to develop an innovative microfluidic system based on cyclic olefin copolymer-off-stoichiometry thiol-ene (COC-OSTE) for the efficient isolation of EVs from large-volume samples in a continuous manner. By utilizing size and buoyancy-based separation, the technology used in this study achieved a significantly narrower size distribution compared to existing approaches from urine and cell media samples, enabling the targeting of specific EV size fractions in future applications. Our innovative COC-OSTE microfluidic device design, utilizing bifurcated asymmetric flow field-flow fractionation technology, offers a straightforward and continuous EV isolation approach for large-volume samples. Furthermore, the potential for mass manufacturing of this microfluidic device offers scalability and consistency, making it feasible to integrate EV isolation into routine clinical diagnostics and industrial processes, where high consistency and throughput are essential requirements.

Knee landmarks detection via deep learning for automatic imaging evaluation of trochlear dysplasia and patellar height.

OBJECTIVES: To develop and validate a deep learning-based approach to automatically measure the patellofemoral instability (PFI) indices related to patellar height and trochlear dysplasia in knee magnetic resonance imaging (MRI) scans. METHODS: A total of 763 knee MRI slices from 95 patients were included in the study, and 3393 anatomical landmarks were annotated for measuring sulcus angle (SA), trochlear facet asymmetry (TFA), trochlear groove depth (TGD) and lateral trochlear inclination (LTI) to assess trochlear dysplasia, and Insall-Salvati index (ISI), modified Insall-Salvati index (MISI), Caton Deschamps index (CDI) and patellotrochlear index (PTI) to assess patellar height. A U-Net based network was implemented to predict the landmarks' locations. The successful detection rate (SDR) and the mean absolute error (MAE) evaluation metrics were used to evaluate the performance of the network. The intraclass correlation coefficient (ICC) was also used to evaluate the reliability of the proposed framework to measure the mentioned PFI indices. RESULTS: The developed models achieved good accuracy in predicting the landmarks' locations, with a maximum value for the MAE of 1.38 ± 0.76 mm. The results show that LTI, TGD, ISI, CDI and PTI can be measured with excellent reliability (ICC > 0.9), and SA, TFA and MISI can be measured with good reliability (ICC > 0.75), with the proposed framework. CONCLUSIONS: This study proposes a reliable approach with promising applicability for automatic patellar height and trochlear dysplasia assessment, assisting the radiologists in their clinical practice. CLINICAL RELEVANCE STATEMENT: The objective knee landmarks detection on MRI images provided by artificial intelligence may improve the reproducibility and reliability of the imaging evaluation of trochlear anatomy and patellar height, assisting radiologists in their clinical practice in the patellofemoral instability assessment. KEY POINTS: • Imaging evaluation of patellofemoral instability is subjective and vulnerable to substantial intra and interobserver variability. • Patellar height and trochlear dysplasia are reliably assessed in MRI by means of artificial intelligence (AI). • The developed AI framework provides an objective evaluation of patellar height and trochlear dysplasia enhancing the clinical practice of the radiologists.

SIV Infection Is Associated with Transient Acute-Phase Steatosis in Hepatocytes In Vivo.

Metabolic-dysfunction-associated fatty liver disease (MAFLD) is a major cause of morbidity and mortality in HIV-infected individuals, even those receiving optimal antiretroviral therapy. Here, we utilized the SIV rhesus macaque model and advanced laparoscopic techniques for longitudinal collection of liver tissue to elucidate the timing of pathologic changes. The livers of both SIV-infected (N = 9) and SIV-naïve uninfected (N = 8) macaques were biopsied and evaluated at four time points (weeks -4, 2, 6, and 16-20 post-infection) and at necropsy (week 32). SIV DNA within the macaques' livers varied by over 4 logs at necropsy, and liver SIV DNA significantly correlated with SIV RNA in the plasma throughout the study. Acute phase liver pathology (2 weeks post-infection) was characterized by evidence for fat accumulation (microvesicular steatosis), a transient elevation in both AST and cholesterol levels within the serum, and increased hepatic expression of the PPARA gene associated with cholesterol metabolism and beta oxidation. By contrast, the chronic phase of the SIV infection (32 weeks post-infection) was associated with sinusoidal dilatation, while steatosis resolved and concentrations of AST and cholesterol remained similar to those in uninfected macaques. These findings suggest differential liver pathologies associated with the acute and chronic phases of infection and the possibility that therapeutic interventions targeting metabolic function may benefit liver health in people newly diagnosed with HIV.

Have we improved postoperative and long-term outcomes of liver surgery for colorectal cancer metastasis? Analysis of 1736 hepatectomies performed over 3 decades in a single center.

INTRODUCTION: Surgery is the only potentially curative treatment for colorectal cancer liver metastases (CRLM) and its indication and results have varied in the last 30 years. METHODS: All patients operated on for CRLM in our centre from 1990 to 2021 were prospectively collected, establishing 3 subgroups based on the year of the first surgery: group A 1990-1999, group B 2000-2010, group C 2011-2021. Clinical characteristics and the results of survival, recurrence and prognostic factors were compared. RESULTS: 1736 hepatectomies were included (Group A n = 208; Group B n = 770; Group C n = 758). Patients in group C had better survival at 5 and 10 years (A 40.5%/28.2%; B 45.9%/32.2%; C 51.6%/33.1%, p = 0.013), although there were no differences between groups in overall recurrence at 5 and 10 years (A 73%/75.7%; B 67.6%/69.2%, and C 63.9%/66%, p = 0.524), nor in liver recurrence (A 46.4%/48.2%; B 45.8%/48.2%; and C 44.4%/48.4%, p = 0.899). An improvement was observed in median survival after recurrence, being 19 months, 23 months, and 31 months (groups A, B and C respectively). Prognostic factors of long-term survival changed over the 3 study periods. The only ones that remained relevant in the last decade were the presence of >4 liver metastasis, extrahepatic disease at the time of hepatectomy, and intraoperative blood transfusion. CONCLUSIONS: Survival after surgery for CRLM has improved significantly, although this cannot be explained by a reduction in overall and hepatic recurrence, but rather by an improvement in post-recurrence survival. Involvement of the resection margin has lost prognostic value in the last decade.

Knowledge distillation on individual vertebrae segmentation exploiting 3D U-Net.

Recent advances in medical imaging have highlighted the critical development of algorithms for individual vertebral segmentation on computed tomography (CT) scans. Essential for diagnostic accuracy and treatment planning in orthopaedics, neurosurgery and oncology, these algorithms face challenges in clinical implementation, including integration into healthcare systems. Consequently, our focus lies in exploring the application of knowledge distillation (KD) methods to train shallower networks capable of efficiently segmenting vertebrae in CT scans. This approach aims to reduce segmentation time, enhance suitability for emergency cases, and optimize computational and memory resource efficiency. Building upon prior research in the field, a two-step segmentation approach was employed. Firstly, the spine's location was determined by predicting a heatmap, indicating the probability of each voxel belonging to the spine. Subsequently, an iterative segmentation of vertebrae was performed from the top to the bottom of the CT volume over the located spine, using a memory instance to record the already segmented vertebrae. KD methods were implemented by training a teacher network with performance similar to that found in the literature, and this knowledge was distilled to a shallower network (student). Two KD methods were applied: (1) using the soft outputs of both networks and (2) matching logits. Two publicly available datasets, comprising 319 CT scans from 300 patients and a total of 611 cervical, 2387 thoracic, and 1507 lumbar vertebrae, were used. To ensure dataset balance and robustness, effective data augmentation methods were applied, including cleaning the memory instance to replicate the first vertebra segmentation. The teacher network achieved an average Dice similarity coefficient (DSC) of 88.22% and a Hausdorff distance (HD) of 7.71 mm, showcasing performance similar to other approaches in the literature. Through knowledge distillation from the teacher network, the student network's performance improved, with an average DSC increasing from 75.78% to 84.70% and an HD decreasing from 15.17 mm to 8.08 mm. Compared to other methods, our teacher network exhibited up to 99.09% fewer parameters, 90.02% faster inference time, 88.46% shorter total segmentation time, and 89.36% less associated carbon (CO2) emission rate. Regarding our student network, it featured 75.00% fewer parameters than our teacher, resulting in a 36.15% reduction in inference time, a 33.33% decrease in total segmentation time, and a 42.96% reduction in CO2 emissions. This study marks the first exploration of applying KD to the problem of individual vertebrae segmentation in CT, demonstrating the feasibility of achieving comparable performance to existing methods using smaller neural networks.