Nevin Manimala

Head Neck Pathol. 2025 Apr 24;19(1):43. doi: 10.1007/s12105-025-01750-w.

ABSTRACT

PURPOSE: Mucoepidermoid carcinoma is the most common malignant tumor of the salivary gland. MEC harboring MAML2 rearrangement has a favorable prognosis. This study investigated the histologic and locational diversity of head and neck mucoepidermoid carcinoma, clinicopathologic characteristics, and associations with CRTC1/3::MAML2 fusion.

METHODS: Patients with head and neck mucoepidermoid carcinoma (n = 128) treated from February 2004 to December 2016 were included. Retrospective analysis encompassed clinical data, pathologic findings, and prognoses, with concurrent performance of fluorescence in situ hybridization to detect MAML2 rearrangement.

RESULTS: The 128 head and neck mucoepidermoid carcinomas comprised 76 parotid gland, 29 oral cavity, 10 submandibular/sublingual, 8 pharynx, 2 lip, 2 sinonasal cavity, and 1 larynx MEC. The parotid gland was the most common site (59%), and the classic subtype was predominant (69%). MAML2 fusion was detected in 84% of analyzed cases and was strongly associated with low-grade tumors (P < 0.001). MAML2-negative cases exhibited higher rates of lymphovascular invasion, nodal metastasis, and poorer outcomes. Tumors in the parotid, submandibular gland, sublingual gland, oral cavity, and oropharynx, showed more frequent MAML2 rearrangement, than nasopharynx, larynx, lip, and paranasal sinus origin (P < 0.001). The classic and Warthin-like subtypes showed higher MAML2 rearrangement than other subtypes (P = 0.001). MAML2 fusion status was a statistically significant predictor of overall survival by univariate (P = 0.039) and multivariate (P = 0.048) analyses.

CONCLUSION: The presence MAML2 fusion is a favorable prognostic marker in mucoepidermoid carcinoma, with its prevalence varying by location and subtype. Its varying prevalence across locations and subtypes highlights its significant prognostic relevance. These findings underscore the importance of molecular testing and histopathologic evaluation in predicting clinical outcomes.

PMID:40272673 | DOI:10.1007/s12105-025-01750-w

Int J Comput Assist Radiol Surg. 2025 Apr 24. doi: 10.1007/s11548-025-03359-4. Online ahead of print.

ABSTRACT

PURPOSE: Cerebral digital subtraction angiography (DSA) is a standard imaging technique in image-guided interventions for visualizing cerebral blood flow and therapeutic guidance thanks to its high spatio-temporal resolution. To date, cerebral perfusion characteristics in DSA are primarily assessed visually by interventionists, which is time-consuming, error-prone, and subjective. To facilitate fast and reproducible assessment of cerebral perfusion, this work aims to develop and validate a fully automatic and quantitative framework for perfusion DSA.

METHODS: We put forward a framework, perfDSA, that automatically generates deconvolution-based perfusion parametric images from cerebral DSA. It automatically extracts the arterial input function from the supraclinoid internal carotid artery (ICA) and computes deconvolution-based perfusion parametric images including cerebral blood volume (CBV), cerebral blood flow (CBF), mean transit time (MTT), and Tmax.

RESULTS: On a DSA dataset with 1006 patients from the multicenter MR CLEAN registry, the proposed perfDSA achieves a Dice of 0.73(±0.21) in segmenting the supraclinoid ICA, resulting in high accuracy of arterial input function (AIF) curves similar to manual extraction. Moreover, some extracted perfusion images show statistically significant associations (P=2.62e $–$ 5) with favorable functional outcomes in stroke patients.

CONCLUSION: The proposed perfDSA framework promises to aid therapeutic decision-making in cerebrovascular interventions and facilitate discoveries of novel quantitative biomarkers in clinical practice. The code is available at https://github.com/RuishengSu/perfDSA .

PMID:40272658 | DOI:10.1007/s11548-025-03359-4

Discov Oncol. 2025 Apr 24;16(1):602. doi: 10.1007/s12672-025-02388-4.

ABSTRACT

BACKGROUND: Prostate cancer is a common malignancy in men, with its pathogenesis not yet fully elucidated. Recent years have seen increased attention on the relationship between lipid metabolism abnormalities and prostate cancer risk. This study aims to explore the potential causal relationships between serum lipid metabolites and prostate cancer risk using Mendelian randomization methods.

METHODS: This study employed Mendelian randomization methods to analyze the relationship between various serum lipid metabolites (including phosphatidylcholines, phosphatidylethanolamines, phosphatidylinositols, etc.) and prostate cancer risk using GWAS datasets from the UK Biobank. The research analyzed data from 182,625 participants of European descent, including 9132 prostate cancer cases and 173,493 controls. Multiple statistical methods were used for analysis, including inverse variance weighted method, MR Egger regression method, and weighted median approach. Results were presented through forest plots, funnel plots, and scatter plots.

RESULTS: The study found that most serum lipid metabolites likely do not have strong causal relationships with prostate cancer risk. However, some metabolites showed weak associations: phosphatidylethanolamine (16:0_20:4) levels demonstrated a weak negative correlation with prostate cancer risk, while phosphatidylinositol (18:0_20:4) levels showed a weak positive correlation. The consistency of results across most analytical methods enhanced the reliability of these findings.

CONCLUSION: This study provides important insights into the complex relationship between serum lipid metabolites and prostate cancer risk. Although most lipid metabolites may not be strong determinants of prostate cancer risk, certain specific metabolites may have weak associations.

PMID:40272633 | DOI:10.1007/s12672-025-02388-4

Int J Urol. 2025 Apr 24. doi: 10.1111/iju.70085. Online ahead of print.

ABSTRACT

OBJECTIVES: This study aimed to evaluate the impact of the COVID-19 pandemic on prostate cancer screening, patient characteristics, and clinical outcomes by comparing data before and after the pandemic at a Japanese institution.

METHODS: A retrospective cohort study was conducted at Toho University Sakura Medical Center, including 955 patients who underwent prostate biopsy between March 2018 and May 2022. The study period was divided into pre-pandemic (March 2018 to March 2020) and post-pandemic (April 2020 to May 2022) phases. Data on demographic characteristics, referral patterns, clinical presentation, and biopsy results were collected. Statistical analyses were performed to evaluate differences in key clinical parameters before and after the onset of the pandemic.

RESULTS: The median age of patients undergoing prostate biopsy increased significantly during the post-pandemic period (71.0 years before vs. 73.0 years after, p < 0.01). Referrals from PSA screening decreased significantly (13.5% before vs. 9.0% after, p = 0.03), whereas referrals from office urologists increased (29.8% before vs. 38.0% after, p < 0.01). The overall detection rate of prostate cancer remained stable (62.0% before vs. 67.0% after, p = 0.10). However, the proportion of higher Gleason grade groups (4 and 5) increased significantly after the pandemic (46.8% before vs. 68.1% after, p < 0.01).

CONCLUSIONS: The COVID-19 pandemic led to notable changes in prostate cancer screening practices and an increase in higher-grade cancer diagnoses. These findings highlight the importance of maintaining robust cancer screening programs and ensuring timely diagnosis during public health crises to mitigate adverse clinical outcomes.

PMID:40270432 | DOI:10.1111/iju.70085

Stud Health Technol Inform. 2025 Apr 24;324:264-269. doi: 10.3233/SHTI250199.

ABSTRACT

BACKGROUND: The COVID-19 pandemic strained healthcare systems, with Tyrol, Austria, as an early hotspot due to Alpine tourism. Variants like Alpha, Delta, and Omicron influenced infection and hospitalization trends.

OBJECTIVES: To assess how different variants affected hospital occupancy, sick leave, and infection rates in Tyrol.

METHODS: Daily data on infections, hospital occupancy, and variants from 2020-2022 were analyzed using statistical trend assessments.

RESULTS: Sick leave peaked at 38,542 days in early 2022 during the Omicron wave. Hospital occupancy rose significantly during Alpha and Omicron surges, despite milder disease severity for Omicron. Preventive measures temporarily reduced absenteeism.

CONCLUSION: Highly transmissible variants caused significant healthcare strain despite lower severity. Adaptable crisis management strategies are essential for mitigating future pandemic impacts.

PMID:40270423 | DOI:10.3233/SHTI250199

Stud Health Technol Inform. 2025 Apr 24;324:234-239. doi: 10.3233/SHTI250194.

ABSTRACT

BACKGROUND: Standardizing laboratory data is essential for interoperability and secondary use in clinical research and healthcare. However, many laboratory information systems (LIS) still rely on internal codes rather than internationally recognized terminologies, hindering data exchange, queryability, and integration into health data infrastructures.

OBJECTIVES: This study aimed to automate the extraction and mapping of internal lab codes to LOINC to improve structured data integration by utilizing web scraping and terminology mapping, we sought to create a FHIR-compliant ConceptMap.

METHODS: Guided by key requirements for structured data integration, we developed a Python-based workflow to extract and process laboratory data from an internal lab index. Using Selenium, BeautifulSoup, and Pandas, the extracted data was mapped to LOINC codes and transformed into a FHIR-compliant ConceptMap.

RESULTS: The workflow extracted 2,870 analytes, mapping 768 (27%) to LOINC. The automated process demonstrated feasibility and scalability.

CONCLUSION: The approach enables structured laboratory data integration but highlights the need for direct LIS integration and expanded LOINC coverage for legacy data.

PMID:40270418 | DOI:10.3233/SHTI250194

Stud Health Technol Inform. 2025 Apr 24;324:176-177. doi: 10.3233/SHTI250182.

ABSTRACT

In refractory epilepsy and inherited metabolic disorders, Ketogenic Dietary Therapies (KDT) are established non-pharmacological treatments. Telemedicine might contribute to tackle various challenges related to KDT complexity and the respective target diseases. A questionnaire on the current use and future requirements was provided for health care professionals working in neuropediatrics, inherited metabolic diseases and nutrition within the region of German speaking countries. Distribution was facilitated via an established network. Response rate was 83% (24/29). Respondents were physicians (63%) and experts from the field of nutrition (37%). Telemedicine use in any way was reported by 71%. For future telemedicine aids, provision of digital patient information and aspects regarding ketone body, seizure and growth monitoring were ranked highest, while visualization of blood sugar and sensor integration were rated less relevant. Caution regarding legal aspects (liability), reimbursement and technical integration within the current hospital information system was addressed proactively by participants.

PMID:40270406 | DOI:10.3233/SHTI250182

Am Surg. 2025 Apr 24:31348251337153. doi: 10.1177/00031348251337153. Online ahead of print.

ABSTRACT

IntroductionGender disparity within the health care profession, specifically in surgical fields, continues to be a subject of discussion. Understanding these gender-specific determinants is key to fostering inclusivity in surgery. This study investigates gender-related perspectives on pursuing a career in surgical disciplines and assessess the perceived challenges among medical students in India.MethodsA cross-sectional survey was conducted at a teaching hospital. Third through fifth-year medical students were invited to fill a semi-structured questionnaire investigating career preferences and the influencing factors. The data was collected through a survey and analyzed. Likert-scale type responses and open-ended questions were analyzed separately. Appropriate statistical tests were used to compare the gender-based responses.Results231 complete responses were analyzed. Of these, 61.5% were females. Interest in pursuing surgery was found to be similar in both genders (P = .61). Both male and female students cited concerns about work-life balance as the major factor (41.6%) influencing their interest in pursuing surgery, followed by personal interest in anatomy and surgical techniques (39%), and exposure to surgical procedures (36.4%). Female students perceived limited opportunities in surgical training (M = 7.8%, F = 21.1%, P = .007) and gender bias in surgical disciplines (M = 34.8%, F = 50%, P = .02) as a significant challenge as compared to their male counterparts. Approximately 1/3rd females reported a lack of female surgical role models.ConclusionThis comprehensive analysis illuminates the evolving gender dynamics in a developing nation, reflecting a burgeoning interest in surgical specialties among female students. Creating targeted training opportunities and gender-conducive environments for female students can catalyze this positive shift.

PMID:40270365 | DOI:10.1177/00031348251337153

Epidemiol Psychiatr Sci. 2025 Apr 24;34:e27. doi: 10.1017/S2045796025000204.

ABSTRACT

AIMS: Multimorbidity, especially physical-mental multimorbidity, is an emerging global health challenge. However, the characteristics and patterns of physical-mental multimorbidity based on the diagnosis of mental disorders in Chinese adults remain unclear.

METHODS: A cross-sectional study was conducted from November 2004 to April 2005 among 13,358 adults (ages 18-65years) residing in Liaoning Province, China, to evaluate the occurrence of physical-mental multimorbidity. Mental disorders were assessed using the Composite International Diagnostic Interview (version 1.0) with reference to the Diagnostic and Statistical Manual of Mental Disorders (3rd Edition Revised), while physical diseases were self-reported. Physical-mental multimorbidity was assessed based on a list of 16 physical and mental morbidities with prevalence ≥1% and was defined as the presence of one mental disorder and one physical disease. The chi-square test was used to calculate differences in the prevalence and comorbidity of different diseases between the sexes. A matrix heat map was generated of the absolute number of comorbidities for each disease. To identify complex associations and potential disease clustering patterns, a network analysis was performed, constructing a network to explore the relationships within and between various mental disorders and physical diseases.

RESULTS: Physical-mental multimorbidity was confirmed in 3.7% (498) of the participants, with a higher prevalence among women (4.2%, 282) than men (3.3%, 216). The top three diseases with the highest comorbidity rate and average number of comorbidities were dysphoric mood (86.3%; 2.86), social anxiety disorder (77.8%; 2.78) and major depressive disorder (77.1%; 2.53). A physical-mental multimorbidity network was visually divided into mental and physical domains. Additionally, four distinct multimorbidity patterns were identified: ‘Affective-addiction’, ‘Anxiety’, ‘Cardiometabolic’ and ‘Gastro-musculoskeletal-respiratory’, with the digestive-respiratory-musculoskeletal pattern being the most common among the total sample. The affective-addiction pattern was more prevalent in men and rural populations. The cardiometabolic pattern was more common in urban populations.

CONCLUSIONS: The physical-mental multimorbidity network structure and the four patterns identified in this study align with previous research, though we observed notable differences in the proportion of these patterns. These variations highlight the importance of tailored interventions that address specific multimorbidity patterns while maintaining broader applicability to diverse populations.

PMID:40270350 | DOI:10.1017/S2045796025000204

Am J Mens Health. 2025 Mar-Apr;19(2):15579883251336056. doi: 10.1177/15579883251336056. Epub 2025 Apr 24.

ABSTRACT

Physical activity is associated with stress urinary incontinence (SUI). The genetic causality of this association remains unclear. This study used the Mendelian randomization (MR) method to explore the potential causal relationship between physical activity and SUI risk using heavy do-it-yourself (DIY), light DIY, strenuous sports, walking for pleasure, and other exercises as proxies. We selected single nucleotide polymorphisms associated with physical activity from published genome-wide association studies (GWAS). Statistics of SUI come from the GWAS database. MR estimation was performed using the inverse variance weighting method, the MR-Egger method, and the weighted median method. Sensitivity analyses were performed using Cochran’s Q test, MR-Egger intercept, MR-pleiotropy residuals, outlier methods, leave-one-out analysis, and funnel plots. The results showed that there was a causal relationship between heavy DIY and SUI (OR = 0.9712, 95% confidence interval [0.951, 0.9918], p = .006), while no significant causal relationship was found between other physical activities and SUI. These findings were robust across multiple sensitivity analyses. This MR study demonstrates the causal relationship between heavy DIY and SUI, helping doctors and researchers better recommend preventive and treatment measures to patients, while also providing specific directions for improving their lifestyle in men and women suffering from SUI.

PMID:40270342 | DOI:10.1177/15579883251336056