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Digital habits and physical health: a study of screen time and BMI among young healthcare profession students and residents

Ir J Med Sci. 2025 Jun 19. doi: 10.1007/s11845-025-03991-8. Online ahead of print.

ABSTRACT

BACKGROUND: Average screen time has increased drastically after the COVID-19 pandemic. It has raised concerns about the adverse effects, including the effect on BMI.

AIM: The present study is conducted to study the relationship between screen time and BMI among medical students at a medical institute in Lahore, Pakistan.

METHODS: For this cross-sectional study, a sample of 370 medical students and residents was obtained from a medical institute in Pakistan. An online survey to gather data about screen time activities, device usage, and BMI. Screen time was categorized into low (1-2 h/day), moderate (3-4 h/day), and high (5-6 h/day), while BMI score was calculated and categorized into under-weight, normal, overweight, and obese groups. Descriptive and inferential statistics including Spearman correlation analysis were applied using IBM SPSS 25.0.

RESULTS: Most participants fell into the normal BMI category (79%), with a smaller proportion classified as overweight (16%) or obese (5%). Most participants preferred using smartphones (92.1%). About 41% of participants had high screen time. There was a strong positive correlation between low screen time and normal BMI (r = 0.999). However, only 2.9% of the participants had low screen time. The link between higher screen time and obesity is observed especially in males, while females maintain a more stable normal weight, suggesting gender-based lifestyle or metabolic differences.

CONCLUSION: Screen time is significantly associated with BMI with a strong positive correlation as well. There is need to design educational programs to raise awareness about the safe use of devices and the amount of screen time.

PMID:40536737 | DOI:10.1007/s11845-025-03991-8

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The potential of visual evoked potentials latency and amplitude to be a subclinical predictor of clinical prognosis in multiple sclerosis

Ir J Med Sci. 2025 Jun 19. doi: 10.1007/s11845-025-03980-x. Online ahead of print.

ABSTRACT

BACKGROUND: Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system characterized by focal demyelinating lesions, axonal dysfunction/degeneration, and gliosis, which can lead to various clinical disabilities. Visual evoked potentials (VEP) is sensitive and repeatable techniques capable of monitoring significant short-term changes in neuroaxonal integrity and alterations in nerve conduction triggered by acute optic neuritis.

AIM: This study aims to evaluate whether VEP latency and amplitude could serve as subclinical predictors of clinical outcomes in MS patients over short-term follow-ups.

METHODS: This study was planned to include MS patients diagnosed according to the McDonald Criteria 18 who did not have any psychiatric, neurological, or ocular disorders that could interfere with the main purpose. The VEP test was performed for routine evaluation of demyelination or axonal damage.

RESULTS: A total of 83 patients were included in the study, with a mean age of 33.6 ± 9.3 years. Of all the patients, 54 were female (65.1%) and 29 were male (34.9%). Right pattern reversal visual evoked potential (PVEP) P100 (OR for PVEP1: 0.802, p = 0.001; OR for PVEP2: 0.879, p = 0.002) was statistically significant in showing right VEP abnormality at both baseline and at 6 months. Left VEP abnormalities were associated with left PVEP P100 at PVEP1 (OR: 0.852, p = 0.003) and left PVEP N75 at PVEP2 (OR: 0.935, p = 0.029).

CONCLUSION: VEPs have the potential to predict short-term subclinical stability or progression, making them valuable candidates for early treatment adjustments and evaluating future pharmacotherapy-supported remyelination.

PMID:40536736 | DOI:10.1007/s11845-025-03980-x

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Quantitative spectral computed tomography detects different patterns of airway wall thickening and contrast enhancement in infective lung disease: a feasibility study

Eur Radiol. 2025 Jun 19. doi: 10.1007/s00330-025-11752-5. Online ahead of print.

ABSTRACT

OBJECTIVES: We aimed to show that spectral computed tomography (CT) can identify different patterns of airway wall thickening and contrast enhancement in lung-healthy controls, coronavirus disease 2019 (COVID-19), and non-COVID-19 pneumonia patients, reflecting airway inflammation in both pneumonia subtypes and airway neovascularization in COVID-19.

MATERIALS AND METHODS: 331 subjects (age 58.9 ± 17.2 years) with 218 arterial and 113 venous phase spectral CT acquisitions were retrospectively recruited: 119 lung-healthy controls, 45 with COVID-19 and 167 with non-COVID-19 pneumonia. Scientific software was used for segmenting the airway tree. Wall thickness (WT5-10) and the difference in median maximum airway wall attenuation (slope of the spectral attenuation curve) between 40 keV and 100 keV display energy were calculated and aggregated for subsegmental airway generations 5-10 (λHU5-10). Descriptive statistics, correlations, t-tests, and ANOVA analyses were performed.

RESULTS: Arterial phase WT5-10 was similarly increased in COVID-19 (1.70 ± 0.44 mm) and non-COVID-19 (1.64 ± 0.53 mm) pneumonia compared to controls (1.18 ± 0.34 mm, p < 0.001). Arterial phase λHU5-10 was significantly higher in patients with COVID-19 pneumonia (3.09 ± 2.27 HU/keV) than in non-COVID-19 pneumonia (2.18 ± 1.54 HU/keV, p < 0.01) and lung-healthy controls (2.06 ± 1.11 HU/keV, p < 0.01).

CONCLUSION: Spectral CT shows significant differences in segmental wall thickness and airway contrast enhancement between COVID-19 and non-COVID-19 pneumonia and lung-healthy controls. Airway contrast enhancement may be a feasible measure to detect airway inflammation in pneumonia and neovascularization in COVID-19 pneumonia.

KEY POINTS: Question Is spectral CT airway contrast enhancement a feasible quantitative method to detect airway inflammation or neovascularisation? Findings Spectral CT shows significant differences in segmental wall thickness and airway contrast enhancement between COVID-19 and non-COVID-19 pneumonia, and lung-healthy controls. Clinical relevance Spectral CT can be used to assess inflammatory airway diseases such as cystic fibrosis, COPD, asthma and bronchiectasis.

PMID:40536704 | DOI:10.1007/s00330-025-11752-5

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Development and validation of an AI-driven radiomics model using non-enhanced CT for automated severity grading in chronic pancreatitis

Eur Radiol. 2025 Jun 19. doi: 10.1007/s00330-025-11776-x. Online ahead of print.

ABSTRACT

OBJECTIVE: To develop and validate the chronic pancreatitis CT severity model (CATS), an artificial intelligence (AI)-based tool leveraging automated 3D segmentation and radiomics analysis of non-enhanced CT scans for objective severity stratification in chronic pancreatitis (CP).

MATERIALS AND METHODS: This retrospective study encompassed patients with recurrent acute pancreatitis (RAP) and CP from June 2016 to May 2020. A 3D convolutional neural network segmented non-enhanced CT scans, extracting 1843 radiomic features to calculate the radiomics score (Rad-score). The CATS was formulated using multivariable logistic regression and validated in a subsequent cohort from June 2020 to April 2023.

RESULTS: Overall, 2054 patients with RAP and CP were included in the training (n = 927), validation set (n = 616), and external test (n = 511) sets. CP grade I and II patients accounted for 300 (14.61%) and 1754 (85.39%), respectively. The Rad-score significantly correlated with the acinus-to-stroma ratio (p = 0.023; OR, -2.44). The CATS model demonstrated high discriminatory performance in differentiating CP severity grades, achieving an area under the curve (AUC) of 0.96 (95% CI: 0.94-0.98) and 0.88 (95% CI: 0.81-0.90) in the validation and test cohorts. CATS-predicted grades correlated with exocrine insufficiency (all p < 0.05) and showed significant prognostic differences (all p < 0.05). CATS outperformed radiologists in detecting calcifications, identifying all minute calcifications missed by radiologists.

CONCLUSION: The CATS, developed using non-enhanced CT and AI, accurately predicts CP severity, reflects disease morphology, and forecasts short- to medium-term prognosis, offering a significant advancement in CP management.

KEY POINTS: Question Existing CP severity assessments rely on semi-quantitative CT evaluations and multi-modality imaging, leading to inconsistency and inaccuracy in early diagnosis and prognosis prediction. Findings The AI-driven CATS model, using non-enhanced CT, achieved high accuracy in grading CP severity, and correlated with histopathological fibrosis markers. Clinical relevance CATS provides a cost-effective, widely accessible tool for precise CP severity stratification, enabling early intervention, personalized management, and improved outcomes without contrast agents or invasive biopsies.

PMID:40536703 | DOI:10.1007/s00330-025-11776-x

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Concordance between single-slice abdominal computed tomography-based and bioelectrical impedance-based analysis of body composition in a prospective study

Eur Radiol. 2025 Jun 19. doi: 10.1007/s00330-025-11746-3. Online ahead of print.

ABSTRACT

OBJECTIVES: Body composition analysis (BCA) is a recognized indicator of patient frailty. Apart from the established bioelectrical impedance analysis (BIA), computed tomography (CT)-derived BCA is being increasingly explored. The aim of this prospective study was to directly compare BCA obtained from BIA and CT.

MATERIALS AND METHODS: A total of 210 consecutive patients scheduled for CT, including a high proportion of cancer patients, were prospectively enrolled. Immediately prior to the CT scan, all patients underwent BIA. CT-based BCA was performed using a single-slice AI tool for automated detection and segmentation at the level of the third lumbar vertebra (L3). BIA-based parameters, body fat mass (BFMBIA) and skeletal muscle mass (SMMBIA), CT-based parameters, subcutaneous and visceral adipose tissue area (SATACT and VATACT) and total abdominal muscle area (TAMACT) were determined. Indices were calculated by normalizing the BIA and CT parameters to patient’s weight (body fat percentage (BFPBIA) and body fat index (BFICT)) or height (skeletal muscle index (SMIBIA) and lumbar skeletal muscle index (LSMICT)).

RESULTS: Parameters representing fat, BFMBIA and SATACT + VATACT, and parameters representing muscle tissue, SMMBIA and TAMACT, showed strong correlations in female (fat: r = 0.95; muscle: r = 0.72; p < 0.001) and male (fat: r = 0.91; muscle: r = 0.71; p < 0.001) patients. Linear regression analysis was statistically significant (fat: R2 = 0.73 (female) and 0.74 (male); muscle: R2 = 0.56 (female) and 0.56 (male); p < 0.001), showing that BFICT and LSMICT allowed prediction of BFPBIA and SMIBIA for both sexes.

CONCLUSION: CT-based BCA strongly correlates with BIA results and yields quantitative results for BFP and SMI comparable to the existing gold standard.

KEY POINTS: Question CT-based body composition analysis (BCA) is moving more and more into clinical focus, but validation against established methods is lacking. Findings Fully automated CT-based BCA correlates very strongly with guideline-accepted bioelectrical impedance analysis (BIA). Clinical relevance BCA is currently moving further into clinical focus to improve assessment of patient frailty and individualize therapies accordingly. Comparability with established BIA strengthens the value of CT-based BCA and supports its translation into clinical routine.

PMID:40536702 | DOI:10.1007/s00330-025-11746-3

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Prognostic value of [18F]fluorodeoxyglucose PET/CT in the new staging system for non-small cell lung cancer

Eur Radiol. 2025 Jun 19. doi: 10.1007/s00330-025-11761-4. Online ahead of print.

ABSTRACT

OBJECTIVE: This study aims to explore the prognostic value of primary tumor [18F]fluorodeoxyglucose (FDG) uptake in non-small cell lung cancer (NSCLC) patients treated with curative therapy, particularly when considered alongside the new 9th edition of the American Joint Committee on Cancer (AJCC)/Union for International Cancer Control (UICC) staging system.

MATERIALS AND METHODS: A single-center retrospective study analyzed 3070 NSCLC patients who underwent pretherapeutic FDG PET/CT for initial staging. The survival analyses considered clinical variables, disease stage, and the primary tumor’s maximum standardized uptake value (SUVmax). Univariate and multivariate analyses evaluated the prognostic significance of disease stage and SUVmax in predicting overall and disease-free survival. A new staging system incorporating SUVmax is proposed and compared with the conventional staging.

RESULTS: Two thousand nine hundred seventy-two patients (mean age, 64.5 ± 10.1 years; 1888 men) were evaluated. Primary tumor SUVmax was an independent prognostic factor in the univariate and multivariate analyses for overall and disease-free survival, alongside disease stages. Integrating SUVmax into the staging system improved prognostic stratification, especially in intermediate stages (stage IIA vs IIB, hazard ratio [HR] = 1.06, p = 0.72 for the conventional stage; HR = 1.27, p = 0.04 for the new proposed stage with SUVmax). Survival analyses revealed significant distinctions between reclassified groups based on SUVmax, highlighting its potential for risk assessment refinement.

CONCLUSIONS: The primary tumor SUVmax adds prognostic value to the 9th AJCC/UICC staging system for NSCLC. The proposed staging system incorporating SUVmax demonstrates enhanced prognostic accuracy compared with the conventional system.

KEY POINTS: Question The new NSCLC staging system does not incorporate tumor metabolism, which may enhance prognostic accuracy and improve risk stratification. Findings Primary tumor FDG uptake was an independent prognostic factor for survival in NSCLC. Its integration into staging improved risk stratification. Clinical relevance Primary tumor FDG uptake provides prognostic information in NSCLC. Its incorporation into staging improved risk classification, particularly in intermediate stages, allowing for more precise prognostication based on metabolic activity.

PMID:40536701 | DOI:10.1007/s00330-025-11761-4

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Risk factors for ACL revision failure and optimum graft size for revision anterior cruciate ligament reconstruction

Eur J Orthop Surg Traumatol. 2025 Jun 19;35(1):260. doi: 10.1007/s00590-025-04381-7.

ABSTRACT

INTRODUCTION: Graft re-rupture is a devastating complication after revision ACLR surgery. The literature regarding the risk factors of graft re-rupture is sparse and not definitive. Studies have suggested that a smaller graft diameter is associated with poorer outcomes after primary ACLR, however there is a paucity of literature regarding the effects of graft size on revision ACLR outcomes. This study aims to determine the risk factors for graft re-rupture after revision ACLR, and investigate the optimum graft diameter for revision ACLR.

METHODS: The records of all patients who underwent revision ACLR from 2013 to 2021 were reviewed. Data collected included patient demographics, operative variables, and demographic details. To determine the optimal graft diameter, receiver operating characteristic (ROC) analysis was performed. Associations between re-rupture rate and return to pivoting sport, intra-articular knee pathologies, and graft diameter were assessed using contingency tables. Data were examined using univariable logistic regression models to explore the association between graft re-rupture after revision ACLR and prognostic variables. Co-variates with a p value p < 0.100 were included in a multivariable logistic regression model to identify independent associations with graft re-rupture.

RESULTS: In total, 132 revision ACLR were identified with a mean follow-up time of 3.22 ± 3.26 years. The graft re-rupture rate was 16.7% (n = 22). There were 91 (68.9%) males and 41 (31.1%) female with a mean age of 27.4 years (range 17.3-50.8 years) at revision. 87.9% (n = 116) were involved in one or more types of pivoting sports. Kaplan-Meier analysis showed that the mean survival time for revision ACL grafts was 148 months (95% CI 130-166). The mean graft diameter during revision ACLR was 9.26 mm (range 7.0-10.5 mm) and mean graft length was 43.6 mm (range 22.0-60.0 mm). No associated procedure such as anterolateral (ALL) reconstruction were performed. At the time of revision ACLR, MRI detected concomitant knee pathologies: medial meniscus pathology (n = 45; 34.1%), lateral meniscus pathology (n = 41; 31.1%), chondral pathology (n = 26; 19.7%). None were associated with an increased rate of re-rupture. Risk factors determined by the multivariable logistic regression model were graft diameter < 9 mm (OR: 3.873; 95% CI 1.128-13.293; p = 0.031) and return to pivoting sport after revision ACLR surgery (OR: 4.105; 95%CI 1.008-16.721; p = 0.049).

CONCLUSION: A graft diameter < 9 mm and return to pivoting sports after revision ACLR are risk factors for graft re-rupture. Meniscus pathology and chondral lesion were not associated with graft re-rupture. The findings of this study can be used to improve revision ACLR results for patients, but needs to be expanded in multi-centre trials with larger sample sizes.

PMID:40536685 | DOI:10.1007/s00590-025-04381-7

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Predictors of functional outcome after extra-articular scapular fracture stabilization with Brodsky approach

Eur J Orthop Surg Traumatol. 2025 Jun 19;35(1):257. doi: 10.1007/s00590-025-04355-9.

ABSTRACT

PURPOSE: Although surgical stabilization for displaced extra-articular scapular fractures is increasingly utilized, there remains limited evidence on predictors of functional recovery. This study aimed to evaluate long-term functional and radiographic outcomes after stabilization using the Brodsky posterior approach and to determine whether glenopolar angle or lateral border medialization independently predicts postoperative function. We hypothesized that improved radiographic parameters would be associated with better outcomes.

METHODS: This retrospective cohort included 16 patients with displaced extra-articular scapular fractures treated with open reduction and internal fixation via the Brodsky approach. Functional recovery was assessed using the Constant score at 48 months postoperatively. Pre- and postoperative glenopolar angle and lateral border medialization were measured. Paired comparisons and multiple linear regression were used to identify predictors of outcome.

RESULTS: All patients achieved full fracture union without complications or need for reoperation. The median Constant score of the operated shoulder was 94 (IQR 88-95), compared to 96 (IQR 93-96) in the contralateral shoulder (p = 0.002). Despite statistical significance, the 2-point difference did not exceed the minimal clinically important difference for shoulder function. Postoperative improvements in glenopolar angle and medialization were significant. The contralateral Constant score was the only independent predictor of postoperative outcome (β = 1.52, p = 0.001). Radiographic variables were not predictive.

CONCLUSION: The Brodsky approach yields excellent long-term outcomes. Although radiographic correction is achieved, the preoperative function of the contralateral shoulder remains the most reliable indicator of postoperative recovery potential.

PMID:40536675 | DOI:10.1007/s00590-025-04355-9

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Are guidelines guiding? A mixed methods study examining the integration of ASCO fertility discussion guidelines in practice among oncologists and adolescents and young adults at an NCI-designated Comprehensive Cancer Center

J Cancer Surviv. 2025 Jun 19. doi: 10.1007/s11764-025-01850-0. Online ahead of print.

ABSTRACT

PURPOSE: This study aims to explore the integration of American Society of Clinical Oncology (ASCO) guidelines for fertility discussion in clinical practice.

METHODS: A concurrent triangulation mixed methods design was used. We recruited oncologists from an NCI-designated Comprehensive Cancer Center who treat adolescents and young adults (AYAs) at risk for infertility to participate in a semi-structured qualitative interview and conducted a thematic analysis. Simultaneously, self-report fertility-related data were collected from AYAs (age 18-39) diagnosed at the same institution via self-report survey and were analyzed using descriptive statistics.

RESULTS: Themes reported by oncologists (N = 12; 66.7% female, on average in practice for 14.3 years) included a lack of oncofertility-related training and limited knowledge surrounding fertility discussion guidelines. Those who were aware of guidelines stated that they informed their discussions. Oncologists’ perceptions of fertility discussion guidelines were largely positive, though reservations were expressed. Discussions were primarily informed by patient needs and research/literature, but seldom by oncologists’ explicit training or experience in oncofertility. Among AYAs (N = 58; 53.5% female, 35.1% Hispanic, on average 32.0 years at diagnosis), 82.3% had a fertility discussion, 62.6% of which occurred with their oncologist. Fertility discussions occurred at some visits (66.7%), and AYAs were very (39.4%) or moderately (27.3%) satisfied with counseling received. Components of ASCO guidelines most often discussed were the timing of preservation and consideration of individual factors in fertility preservation (66.7% each). Patient advocacy resources (33.3%) and informing them that their cancer history does not increase risk of cancer or birth defects in a child (30.3%) were least often discussed.

CONCLUSION: Awareness of fertility discussion guidelines among oncologists was low, and more than half of AYAs reported only two components of ASCO guidelines were included in fertility discussions with their oncologists. Despite this, AYAs’ overall satisfaction with discussions was moderate to high, suggesting adherence to all guideline components may not be necessary for AYAs to derive benefit. While oncologists reported largely positive perceptions of fertility discussion guidelines, several shared that the guidelines themselves may hinder implementation if they do not capture diverse patient scenarios and/or are outdated.

IMPLICATIONS FOR CANCER SURVIVORS: Findings suggest a need to improve oncologists’ knowledge surrounding guidelines, refine recommendations to optimize oncofertility counseling, and subsequently improve their integration in practice to ensure AYAs are provided with desired and actionable information to support goal-concordant reproductive decisions.

PMID:40536662 | DOI:10.1007/s11764-025-01850-0

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Neurocognitive assessment in relation to hearing impairment and retinal neurodegeneration

Neurol Sci. 2025 Jun 19. doi: 10.1007/s10072-025-08305-5. Online ahead of print.

ABSTRACT

PURPOSE: Sensory impairments are significant contributors to cognitive dysfunction, but the relationship between cognitive decline and various forms of neurosensory degeneration remains poorly understood. This study aimed to evaluate retinal layer neurodegeneration and hearing impairment in the general Korean population using cognitive assessments.

METHODS: This cross-sectional, retrospective study included participants who underwent Optical Coherence Tomography (OCT), Pure Tone Audiometry (PTA), and the Mini-Mental State Examination (MMSE). Participants were categorized into three groups based on MMSE scores: control group (MMSE > 27), mild cognitive impairment (MCI, MMSE 23-27), and dementia group (MMSE < 23). PTA thresholds were computed using the weighted four-frequency average formula (0.5 kHz, 1 kHz, 2 kHz, and 4 kHz). OCT images were analyzed to measure the Ganglion Cell Inner Plexiform Layer (GC-IPL), Peripapillary Retinal Nerve Fiber Layer (ppRNFL), and total macular thickness. These sensory parameters were compared across the three groups.

RESULTS: A total of 196 participants were included, with a mean age of 67.0 ± 10.4 years. MMSE scores showed an inverse correlation with both age and PTA thresholds, and a positive correlation with OCT parameters (all P <.05). After adjusting for age, significant differences in PTA thresholds were observed across all groups. However, significant reductions in OCT parameters and best-corrected visual acuity were only seen in the dementia group compared to the control and MCI groups (all P <.05).

CONCLUSIONS: Sensory assessments are reliable indicators of cognitive function, with hearing loss emerging as a more consistent and sensitive predictor of early functional decline than retinal thickness measurements. Advanced stages of cognitive impairment are closely linked to retinal neurodegeneration and visual impairment, underscoring the importance of careful monitoring and early intervention.

PMID:40536657 | DOI:10.1007/s10072-025-08305-5