Timur I Fetisov, Alexander V Ikonnikov, Elena E Kopantseva, Polina A Shtompel, Sofya A Khazanova, Ekaterina S Trapeznikova, Victoria Y Zinovieva, Svetlana N Zuevskaya, Anastasia A Tararykova, Beniamin Yu Bokhyan, Gennady A Belitsky, Ekaterina A Lesovaya, Marianna G Yakubovskaya, Evgeny V Denisov, Kirill I Kirsanov
Objective: Myxofibrosarcoma (MXF) and undifferentiated pleomorphic sarcoma (UPS) are common and aggressive subtypes of cancer differing by clinical characteristics and prognosis; however, their differential diagnosis is difficult. Elucidation of cellular and transcriptomic discrepancies between these diseases that could improve their identification was the aim of our study. Methods: We applied single-cell RNA sequencing to compare MXF and UPS by tumor cell clusters and cell-cell ligand-receptor interactions, using five tumor samples of both subtypes. Results: We identify nine major cell types in all tumors analyzed. Any significant differences in their proportions between MXF and UPS were not found. Further reclusterization of lymphoid cells showed that cytotoxic CD8+ T cell proportion was higher in the MXF samples. In UPS cancer cells, the pathways maintaining extracellular matrix components (including collagens, proteoglycans, and other proteins) were highly active, while MXF cells were characterized by high activity of growth factors and angiogenesis pathways. The ligand-receptor interactions between cancer cells and the microenvironment differed significantly between MXF and UPS. In UPS, CD80 of dendritic cells and macrophages prominently interacted with T cell co-inhibitory CTLA-4 receptors, whereas the activating CD80-CD28 interaction was predominant in MXF. Moreover, in UPS, CD44 and integrins of cytotoxic CD8+ T cells prominently interacted with COL1A1/2, while in MXF CD44, interaction with FN1, COL6A1, and LAMC1 prevailed. Conclusions: Differences were identified between UPS and MFS in the composition of lymphoid cell populations and in the intercellular interactions. This proposes deeper understanding of the biological differences between these sarcoma subtypes and may be important for the development of new therapeutic approaches, although further validation of the findings is required.
{"title":"Single-Cell RNA Sequencing Reveals the Cellular and Molecular Differences Between Myxofibrosarcoma and Undifferentiated Pleomorphic Sarcoma.","authors":"Timur I Fetisov, Alexander V Ikonnikov, Elena E Kopantseva, Polina A Shtompel, Sofya A Khazanova, Ekaterina S Trapeznikova, Victoria Y Zinovieva, Svetlana N Zuevskaya, Anastasia A Tararykova, Beniamin Yu Bokhyan, Gennady A Belitsky, Ekaterina A Lesovaya, Marianna G Yakubovskaya, Evgeny V Denisov, Kirill I Kirsanov","doi":"10.3390/medsci14010077","DOIUrl":"10.3390/medsci14010077","url":null,"abstract":"<p><p><b>Objective:</b> Myxofibrosarcoma (MXF) and undifferentiated pleomorphic sarcoma (UPS) are common and aggressive subtypes of cancer differing by clinical characteristics and prognosis; however, their differential diagnosis is difficult. Elucidation of cellular and transcriptomic discrepancies between these diseases that could improve their identification was the aim of our study. <b>Methods:</b> We applied single-cell RNA sequencing to compare MXF and UPS by tumor cell clusters and cell-cell ligand-receptor interactions, using five tumor samples of both subtypes. <b>Results:</b> We identify nine major cell types in all tumors analyzed. Any significant differences in their proportions between MXF and UPS were not found. Further reclusterization of lymphoid cells showed that cytotoxic CD8+ T cell proportion was higher in the MXF samples. In UPS cancer cells, the pathways maintaining extracellular matrix components (including collagens, proteoglycans, and other proteins) were highly active, while MXF cells were characterized by high activity of growth factors and angiogenesis pathways. The ligand-receptor interactions between cancer cells and the microenvironment differed significantly between MXF and UPS. In UPS, CD80 of dendritic cells and macrophages prominently interacted with T cell co-inhibitory CTLA-4 receptors, whereas the activating CD80-CD28 interaction was predominant in MXF. Moreover, in UPS, CD44 and integrins of cytotoxic CD8+ T cells prominently interacted with COL1A1/2, while in MXF CD44, interaction with FN1, COL6A1, and LAMC1 prevailed. <b>Conclusions:</b> Differences were identified between UPS and MFS in the composition of lymphoid cell populations and in the intercellular interactions. This proposes deeper understanding of the biological differences between these sarcoma subtypes and may be important for the development of new therapeutic approaches, although further validation of the findings is required.</p>","PeriodicalId":74152,"journal":{"name":"Medical sciences (Basel, Switzerland)","volume":"14 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12922028/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146260251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Constantin Ghimuș, Călin Gheorghe Buzea, Alin Horațiu Nedelcu, Vlad Florin Oiegar, Ancuța Lupu, Răzvan Tudor Tepordei, Simona Alice Partene Vicoleanu, Ana Maria Dumitrescu, Manuela Ursaru, Gabriel Statescu, Emil Anton, Vasile Valeriu Lupu, Paraschiva Postolache
<p><p><b>Background:</b> Pulmonary fibrosis (PF) and post-infectious fibrotic lung disease are characterized by marked heterogeneity in radiologic patterns, physiologic impairment, and clinical presentation. Conventional analytic approaches often fail to capture non-linear and multimodal relationships between structural imaging findings and functional limitation. Integrating imaging-derived representations with clinical and functional data using artificial intelligence (AI) may provide a more comprehensive characterization of disease heterogeneity. <b>Objectives:</b> The objective of this study was to develop and evaluate a multimodal AI framework combining imaging-derived embeddings and structured clinical data to identify atypical clinical-radiologic profiles in patients with pulmonary fibrosis using unsupervised anomaly detection. <b>Methods:</b> A retrospective cohort of 41 patients with radiologically confirmed pulmonary fibrosis or post-infectious fibrotic lung disease was analyzed. Deep imaging embeddings were extracted from baseline thoracic CT examinations using a pretrained convolutional neural network and integrated with standardized clinical and functional variables. A multimodal variational autoencoder (VAE) was trained in an unsupervised manner to learn the distribution of typical patient profiles. Patient-specific anomaly scores were derived from reconstruction error plus latent regularization (β·KL divergence). Associations between anomaly scores, disease severity, and clinical markers were assessed using Spearman rank correlation. <b>Results:</b> Anomaly scores were right-skewed (median 26.91, IQR 22.87-32.11; range 19.75-46.18). Patients above the 85th percentile (anomaly score ≥ 33.85) comprised 7/41 (17.1%) of the cohort and occurred across all clinician-assigned severity categories (mild 3, moderate 1, severe 3). Anomaly scores overlapped substantially across severity groups, with similar medians (mild 26.47, moderate 28.55, severe 28.23). Correlations with conventional severity markers were weak and non-significant, including DLCO (% predicted; ρ = -0.25, <i>p</i> = 0.115) and FEV<sub>1</sub> (% predicted; ρ = -0.22, <i>p</i> = 0.165), a pattern consistent with anomaly scores reflecting multimodal deviation rather than severity alone, while acknowledging the exploratory nature of the analysis. Highly anomalous patients frequently exhibited discordant clinical-radiologic profiles, including preserved functional capacity despite marked imaging-derived deviation or disproportionate physiological impairment relative to imaging patterns. <b>Conclusions:</b> This proof-of-concept study demonstrates that multimodal VAE-based anomaly detection integrating imaging-derived embeddings with clinical data can quantify clinical-radiologic heterogeneity in pulmonary fibrosis beyond conventional severity stratification. Unsupervised anomaly detection provides a complementary framework for identifying atypical multimodal profiles and support
背景:肺纤维化(PF)和感染后纤维化肺病在放射学模式、生理损伤和临床表现上具有明显的异质性。传统的分析方法往往不能捕捉结构成像结果和功能限制之间的非线性和多模态关系。利用人工智能(AI)将影像衍生的表征与临床和功能数据相结合,可以提供更全面的疾病异质性表征。目的:本研究的目的是开发和评估一个多模式人工智能框架,结合成像衍生嵌入和结构化临床数据,通过无监督异常检测识别肺纤维化患者的非典型临床放射学特征。方法:回顾性分析41例经放射学证实的肺纤维化或感染后纤维化肺病患者。使用预训练的卷积神经网络从基线胸部CT检查中提取深度成像嵌入,并与标准化的临床和功能变量集成。以无监督的方式训练多模态变分自编码器(VAE)来学习典型患者特征的分布。患者特异性异常评分由重建误差加潜在正则化(β·KL散度)得出。异常评分、疾病严重程度和临床标志物之间的关联采用Spearman秩相关法进行评估。结果:异常评分呈右偏(中位数26.91,IQR 22.87 ~ 32.11,范围19.75 ~ 46.18)。高于第85百分位(异常评分≥33.85)的患者占队列的7/41(17.1%),并且发生在所有临床指定的严重程度类别中(轻度3、中度1、重度3)。异常评分在不同的严重程度组之间有很大的重叠,中位数相似(轻度26.47,中度28.55,重度28.23)。与常规严重程度标记的相关性较弱且不显著,包括DLCO(预测%;ρ = -0.25, p = 0.115)和FEV1(预测%;ρ = -0.22, p = 0.165),这种模式与反映多模态偏差而不是严重程度的异常评分一致,同时承认分析的探索性。高度异常的患者经常表现出不一致的临床-放射学特征,包括保留的功能能力,尽管明显的成像衍生偏差或相对于成像模式不成比例的生理损伤。结论:这项概念验证性研究表明,基于多模态vae的异常检测将成像衍生嵌入与临床数据相结合,可以量化肺纤维化的临床放射学异质性,而不是传统的严重程度分层。无监督异常检测提供了一个补充框架,用于识别非典型多模态特征,并支持纤维化肺疾病的个体化表型和假设生成。考虑到适度的队列规模,这些发现应该被解释为说明性和假设产生,而不是一概而论。
{"title":"Multimodal Autoencoder-Based Anomaly Detection Reveals Clinical-Radiologic Heterogeneity in Pulmonary Fibrosis.","authors":"Constantin Ghimuș, Călin Gheorghe Buzea, Alin Horațiu Nedelcu, Vlad Florin Oiegar, Ancuța Lupu, Răzvan Tudor Tepordei, Simona Alice Partene Vicoleanu, Ana Maria Dumitrescu, Manuela Ursaru, Gabriel Statescu, Emil Anton, Vasile Valeriu Lupu, Paraschiva Postolache","doi":"10.3390/medsci14010076","DOIUrl":"10.3390/medsci14010076","url":null,"abstract":"<p><p><b>Background:</b> Pulmonary fibrosis (PF) and post-infectious fibrotic lung disease are characterized by marked heterogeneity in radiologic patterns, physiologic impairment, and clinical presentation. Conventional analytic approaches often fail to capture non-linear and multimodal relationships between structural imaging findings and functional limitation. Integrating imaging-derived representations with clinical and functional data using artificial intelligence (AI) may provide a more comprehensive characterization of disease heterogeneity. <b>Objectives:</b> The objective of this study was to develop and evaluate a multimodal AI framework combining imaging-derived embeddings and structured clinical data to identify atypical clinical-radiologic profiles in patients with pulmonary fibrosis using unsupervised anomaly detection. <b>Methods:</b> A retrospective cohort of 41 patients with radiologically confirmed pulmonary fibrosis or post-infectious fibrotic lung disease was analyzed. Deep imaging embeddings were extracted from baseline thoracic CT examinations using a pretrained convolutional neural network and integrated with standardized clinical and functional variables. A multimodal variational autoencoder (VAE) was trained in an unsupervised manner to learn the distribution of typical patient profiles. Patient-specific anomaly scores were derived from reconstruction error plus latent regularization (β·KL divergence). Associations between anomaly scores, disease severity, and clinical markers were assessed using Spearman rank correlation. <b>Results:</b> Anomaly scores were right-skewed (median 26.91, IQR 22.87-32.11; range 19.75-46.18). Patients above the 85th percentile (anomaly score ≥ 33.85) comprised 7/41 (17.1%) of the cohort and occurred across all clinician-assigned severity categories (mild 3, moderate 1, severe 3). Anomaly scores overlapped substantially across severity groups, with similar medians (mild 26.47, moderate 28.55, severe 28.23). Correlations with conventional severity markers were weak and non-significant, including DLCO (% predicted; ρ = -0.25, <i>p</i> = 0.115) and FEV<sub>1</sub> (% predicted; ρ = -0.22, <i>p</i> = 0.165), a pattern consistent with anomaly scores reflecting multimodal deviation rather than severity alone, while acknowledging the exploratory nature of the analysis. Highly anomalous patients frequently exhibited discordant clinical-radiologic profiles, including preserved functional capacity despite marked imaging-derived deviation or disproportionate physiological impairment relative to imaging patterns. <b>Conclusions:</b> This proof-of-concept study demonstrates that multimodal VAE-based anomaly detection integrating imaging-derived embeddings with clinical data can quantify clinical-radiologic heterogeneity in pulmonary fibrosis beyond conventional severity stratification. Unsupervised anomaly detection provides a complementary framework for identifying atypical multimodal profiles and support","PeriodicalId":74152,"journal":{"name":"Medical sciences (Basel, Switzerland)","volume":"14 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12921941/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146260163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrea Calderone, Rosaria De Luca, Tina Balletta, Lilla Bonanno, Carmela Casella, Donatella Bonaiuti, Carmela Rifici, Rocco Salvatore Calabrò
Background/Objectives: Global disability scales such as the Glasgow Outcome Scale-Extended (GOS-E) may not fully capture real-life participation after traumatic brain injury (TBI). This secondary analysis quantified mismatch between global disability and participation 5 years after moderate-to-severe TBI and identified predictors of a "good recovery, poor participation" profile. Methods: We analysed the TBIMS National Database Public Use Data Set, including adults ≥ 16 years with moderate-to-severe TBI, 5-year follow-up, and valid GOS-E, PART-O, and employment data. High versus low global outcome was defined as GOS-E 7-8 versus 3-6; good versus poor participation was defined using PART-O total (≥median vs. ≤25th percentile) plus productive role engagement. Four outcome profiles were derived and compared using 2 × 2 factorial analyses and regression. Results: The analytic cohort included 6363 participants; among those with high GOS-E, 16.8% met criteria for poor participation. Profiles with poor participation showed lower participation and lower life satisfaction and higher mood symptoms than Group A (high GOS-E, good participation), whereas those with low GOS-E but good participation showed preserved participation with greater emotional burden. Older age, lower education, minority race/ethnicity, pre-injury unemployment or retirement, longer post-traumatic amnesia, and lower 2-year GOS-E independently predicted mismatch. Sensitivity analyses using alternative GOS-E and participation cut-offs and life-satisfaction outcomes yielded similar patterns. Conclusions: Five years after moderate-to-severe TBI, good global recovery does not guarantee successful reintegration, and some individuals maintain participation despite persisting disability. Routine assessment of participation and life satisfaction alongside global disability is needed to identify high-risk profiles and target vocational and psychosocial interventions.
{"title":"Good Recovery, Poor Participation? A Secondary Analysis of the Dissociation Between Global Disability and Real-Life Participation Five Years After Traumatic Brain Injury.","authors":"Andrea Calderone, Rosaria De Luca, Tina Balletta, Lilla Bonanno, Carmela Casella, Donatella Bonaiuti, Carmela Rifici, Rocco Salvatore Calabrò","doi":"10.3390/medsci14010075","DOIUrl":"10.3390/medsci14010075","url":null,"abstract":"<p><p><b>Background/Objectives</b>: Global disability scales such as the Glasgow Outcome Scale-Extended (GOS-E) may not fully capture real-life participation after traumatic brain injury (TBI). This secondary analysis quantified mismatch between global disability and participation 5 years after moderate-to-severe TBI and identified predictors of a \"good recovery, poor participation\" profile. <b>Methods</b>: We analysed the TBIMS National Database Public Use Data Set, including adults ≥ 16 years with moderate-to-severe TBI, 5-year follow-up, and valid GOS-E, PART-O, and employment data. High versus low global outcome was defined as GOS-E 7-8 versus 3-6; good versus poor participation was defined using PART-O total (≥median vs. ≤25th percentile) plus productive role engagement. Four outcome profiles were derived and compared using 2 × 2 factorial analyses and regression. <b>Results</b>: The analytic cohort included 6363 participants; among those with high GOS-E, 16.8% met criteria for poor participation. Profiles with poor participation showed lower participation and lower life satisfaction and higher mood symptoms than Group A (high GOS-E, good participation), whereas those with low GOS-E but good participation showed preserved participation with greater emotional burden. Older age, lower education, minority race/ethnicity, pre-injury unemployment or retirement, longer post-traumatic amnesia, and lower 2-year GOS-E independently predicted mismatch. Sensitivity analyses using alternative GOS-E and participation cut-offs and life-satisfaction outcomes yielded similar patterns. <b>Conclusions</b>: Five years after moderate-to-severe TBI, good global recovery does not guarantee successful reintegration, and some individuals maintain participation despite persisting disability. Routine assessment of participation and life satisfaction alongside global disability is needed to identify high-risk profiles and target vocational and psychosocial interventions.</p>","PeriodicalId":74152,"journal":{"name":"Medical sciences (Basel, Switzerland)","volume":"14 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12921937/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146259585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<p><p><b>Objectives</b>: This study sought to identify sociodemographic and clinical predictors associated with the absence versus presence of alterations in mental, neurological, cardiovascular, osteomuscular, and pulmonary conditions, to provide information towards targeted interventions for non-communicable diseases (NCDs) in urban Colombian populations. <b>Methods</b>: A cross-sectional analysis was performed on 2495 patients (70.1% women) from public health facilities in Bogotá, using the Colombia Open Data "Enfermedades Crónicas" dataset collected between January and December 2023. Associations between sociodemographic variables (sex, age groups, education, and ethnicity) and clinical variables (BMI, type of disability, COVID-19 vaccination status, psychiatric risk, and the modified Medical Research Council dyspnea scale) were examined in relation to health outcomes. Data cleaning involved the exclusion of 107 outliers identified by z-scores >|3| using Microsoft Excel 365. Categorical variables were summarized using frequencies and proportions, and Pearson's chi-square tests were applied to assess bivariate associations (e.g., BMI-health conditions, and sex-disability associations). Multivariable Firth's penalized logistic regression models (implemented in Python 3.14 and Jamovi 2.3) were used to predict the absence of alteration (reference category: presence), adjusting for multicollinearity (variable inflation factor, VIF) and events-per-variable ratios. Odds ratios (ORs), 95% confidence intervals (CIs), and two-tailed <i>p</i>-values were estimated, with statistical significance set at <i>p</i> < 0.05. <b>Results</b>: Women predominated in obesity (81% vs. 19% in men, <i>p</i> < 0.001) and in unaltered conditions (e.g., 71% of cases without pulmonary alterations) but exhibited a lower crude prevalence of disability (6% vs. 16% in men, <i>p</i> < 0.001). Men represented higher proportions of alterations (e.g., 53.8% of pulmonary cases vs. 46.2%, <i>p</i> = 0.006) and mental disabilities (70%, <i>p</i> < 0.001). Firth regression models identified the following predictors: for mental alteration, a single COVID-19 vaccine dose (OR = 2.39, 95% CI 1.12-5.09, <i>p</i> = 0.024), occupation (OR = 1.07, 95% CI 1.05-1.10, <i>p</i> < 0.001), BMI (OR = 0.96, 95% CI 0.93-0.98, <i>p</i> < 0.001), and disability (inverted OR = 4.35, 95% CI 2.56-7.69, <i>p</i> < 0.001); for neurological alteration, occupation (OR = 1.15, 95% CI 1.10-1.21, <i>p</i> < 0.001) and disability (inverted OR = 3.45, 95% CI 1.43-8.33, <i>p</i> = 0.006); for cardiovascular alteration, BMI (OR = 1.02, 95% CI 1.00-1.03, <i>p</i> = 0.042); for osteomuscular alteration, occupation (OR = 1.03, 95% CI 1.01-1.06, <i>p</i> = 0.011); and for pulmonary alteration, occupation (OR = 1.07, 95% CI 1.03-1.11, <i>p</i> = 0.001). The models demonstrated a moderate to excellent goodness-of-fit (R<sup>2</sup> = 0.25-0.72). <b>Conclusions</b>: Sex, BMI, disability status, occupation, and COVID-19 vac
目的:本研究旨在确定与精神、神经、心血管、骨骼肌和肺部疾病有无变化相关的社会人口学和临床预测因素,为哥伦比亚城市人口非传染性疾病(NCDs)的有针对性干预提供信息。方法:使用2023年1月至12月收集的哥伦比亚开放数据“Enfermedades Crónicas”数据集,对波哥大公共卫生机构的2495例患者(70.1%为女性)进行横断面分析。研究了社会人口学变量(性别、年龄组、教育程度和种族)与临床变量(BMI、残疾类型、COVID-19疫苗接种状况、精神风险和修改后的医学研究委员会呼吸困难量表)之间与健康结果的关系。数据清理包括使用Microsoft Excel 365排除107个异常值,这些异常值由z-scores >|3|确定。使用频率和比例对分类变量进行总结,并应用Pearson卡方检验来评估双变量关联(例如,bmi -健康状况和性别残疾关联)。多变量Firth的惩罚逻辑回归模型(在Python 3.14和Jamovi 2.3中实现)用于预测不存在变化(参考类别:存在),调整多重共线性(可变通货膨胀因子,VIF)和每个变量的事件比率。估计优势比(ORs)、95%置信区间(ci)和双尾p值,p < 0.05为统计学显著性。结果:女性在肥胖(81%对19%的男性,p < 0.001)和未改变的情况下(例如,71%的病例没有肺改变)占主导地位,但表现出较低的残疾患病率(6%对16%的男性,p < 0.001)。男性表现出更高比例的改变(例如,53.8%的肺部病例比46.2%,p = 0.006)和精神残疾(70%,p < 0.001)。第四个回归模型确定了以下预测因子:对于精神改变,单次COVID-19疫苗剂量(OR = 2.39, 95% CI 1.12-5.09, p = 0.024)、职业(OR = 1.07, 95% CI 1.05-1.10, p < 0.001)、BMI (OR = 0.96, 95% CI 0.93-0.98, p < 0.001)和残疾(倒OR = 4.35, 95% CI 2.56-7.69, p < 0.001);对于神经系统改变,职业(OR = 1.15, 95% CI 1.10-1.21, p < 0.001)和残疾(倒OR = 3.45, 95% CI 1.43-8.33, p = 0.006);对于心血管改变,BMI (OR = 1.02, 95% CI 1.00-1.03, p = 0.042);对于骨骼肌改变,职业(OR = 1.03, 95% CI 1.01-1.06, p = 0.011);肺部病变与职业有关(OR = 1.07, 95% CI 1.03-1.11, p = 0.001)。模型的拟合优度为中等至优异(R2 = 0.25-0.72)。结论:性别、身体质量指数、残疾状况、职业和COVID-19疫苗接种状况成为非传染性疾病相关改变的关键预测因素,突出了特定的脆弱性,如精神健康风险的部分免疫,以及精神和神经结局的残疾。有针对性的干预措施,包括完成疫苗接种计划、减轻职业接触、BMI管理和包容性残疾护理,可能会缩小健康差距,并支持泛美卫生组织/世卫组织2025年的目标。建议进行纵向研究,以便在哥伦比亚支离破碎的次国家级非传染性疾病证据基础的背景下建立因果关系。
{"title":"Sociodemographic and Clinical Predictors of Chronic Disease Outcomes in a Colombian Population: A Cross-Sectional Analysis of 2495 Patients.","authors":"Adriana Guzmán Sánchez, Lilibeth Sánchez-Guette, Armando Monterrosa-Quintero, Yaneth Herazo-Beltrán, Narledis Núñez-Bravo, Carlos Andrés Collazos Morales","doi":"10.3390/medsci14010074","DOIUrl":"10.3390/medsci14010074","url":null,"abstract":"<p><p><b>Objectives</b>: This study sought to identify sociodemographic and clinical predictors associated with the absence versus presence of alterations in mental, neurological, cardiovascular, osteomuscular, and pulmonary conditions, to provide information towards targeted interventions for non-communicable diseases (NCDs) in urban Colombian populations. <b>Methods</b>: A cross-sectional analysis was performed on 2495 patients (70.1% women) from public health facilities in Bogotá, using the Colombia Open Data \"Enfermedades Crónicas\" dataset collected between January and December 2023. Associations between sociodemographic variables (sex, age groups, education, and ethnicity) and clinical variables (BMI, type of disability, COVID-19 vaccination status, psychiatric risk, and the modified Medical Research Council dyspnea scale) were examined in relation to health outcomes. Data cleaning involved the exclusion of 107 outliers identified by z-scores >|3| using Microsoft Excel 365. Categorical variables were summarized using frequencies and proportions, and Pearson's chi-square tests were applied to assess bivariate associations (e.g., BMI-health conditions, and sex-disability associations). Multivariable Firth's penalized logistic regression models (implemented in Python 3.14 and Jamovi 2.3) were used to predict the absence of alteration (reference category: presence), adjusting for multicollinearity (variable inflation factor, VIF) and events-per-variable ratios. Odds ratios (ORs), 95% confidence intervals (CIs), and two-tailed <i>p</i>-values were estimated, with statistical significance set at <i>p</i> < 0.05. <b>Results</b>: Women predominated in obesity (81% vs. 19% in men, <i>p</i> < 0.001) and in unaltered conditions (e.g., 71% of cases without pulmonary alterations) but exhibited a lower crude prevalence of disability (6% vs. 16% in men, <i>p</i> < 0.001). Men represented higher proportions of alterations (e.g., 53.8% of pulmonary cases vs. 46.2%, <i>p</i> = 0.006) and mental disabilities (70%, <i>p</i> < 0.001). Firth regression models identified the following predictors: for mental alteration, a single COVID-19 vaccine dose (OR = 2.39, 95% CI 1.12-5.09, <i>p</i> = 0.024), occupation (OR = 1.07, 95% CI 1.05-1.10, <i>p</i> < 0.001), BMI (OR = 0.96, 95% CI 0.93-0.98, <i>p</i> < 0.001), and disability (inverted OR = 4.35, 95% CI 2.56-7.69, <i>p</i> < 0.001); for neurological alteration, occupation (OR = 1.15, 95% CI 1.10-1.21, <i>p</i> < 0.001) and disability (inverted OR = 3.45, 95% CI 1.43-8.33, <i>p</i> = 0.006); for cardiovascular alteration, BMI (OR = 1.02, 95% CI 1.00-1.03, <i>p</i> = 0.042); for osteomuscular alteration, occupation (OR = 1.03, 95% CI 1.01-1.06, <i>p</i> = 0.011); and for pulmonary alteration, occupation (OR = 1.07, 95% CI 1.03-1.11, <i>p</i> = 0.001). The models demonstrated a moderate to excellent goodness-of-fit (R<sup>2</sup> = 0.25-0.72). <b>Conclusions</b>: Sex, BMI, disability status, occupation, and COVID-19 vac","PeriodicalId":74152,"journal":{"name":"Medical sciences (Basel, Switzerland)","volume":"14 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12921822/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146260227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nicole Al Fidawi, Cecile Z Attieh, Lara Baghdadi, Chahine El Bekai, Safaa Sayadi, Ghassan Nabbout, François Sahyoun, Hilda E Ghadieh, Sami Azar, Frederic Harb
Glioblastoma is known as the most aggressive primary brain tumor in adults, and it is still largely not curable, with a median survival of approximately 15 months when standard multimodal therapy is applied. The standard treatment nowadays is maximal safe surgical resection, associated with radiotherapy and temozolomide. Treatment effectiveness is limited not only by an impassable blood-brain barrier (BBB) to drug delivery to the brain, but also by the heterogeneity of the tumors and intrinsic or acquired drug resistance, resulting in a certain and inescapable tumor relapse. Therefore, novel drug delivery systems are being designed to overcome the BBB and improve therapeutic efficacy. These approaches include nanoparticle-mediated delivery systems, convection-enhanced intra-tumoral infusion, implantable drug-releasing devices, and noninvasive focused ultrasound technology, which induced transient disruption of the BBB. These approaches are designed to enhance local drug exposure and reduce systemic toxicity with promising preclinical and early clinical results. However, many clinical and technical challenges remain, especially the need for safety, homogeneous drug delivery, and translation of these advances into effective clinical therapies. Current glioblastoma treatment landscape and opportunities include maturing delivery systems, novel therapeutic approaches, including targeted molecular therapies and immunotherapy, as well as personalized regimens. This multidisciplinary modality may have the capacity to help not only patients with GBM but others as well through a multimodal approach of targeted drug delivery and innovative therapy in the long run to improve clinical outcomes of GBM in patients.
{"title":"Breaking Barriers: Advancements in CNS Drug Delivery for Glioblastoma.","authors":"Nicole Al Fidawi, Cecile Z Attieh, Lara Baghdadi, Chahine El Bekai, Safaa Sayadi, Ghassan Nabbout, François Sahyoun, Hilda E Ghadieh, Sami Azar, Frederic Harb","doi":"10.3390/medsci14010073","DOIUrl":"10.3390/medsci14010073","url":null,"abstract":"<p><p>Glioblastoma is known as the most aggressive primary brain tumor in adults, and it is still largely not curable, with a median survival of approximately 15 months when standard multimodal therapy is applied. The standard treatment nowadays is maximal safe surgical resection, associated with radiotherapy and temozolomide. Treatment effectiveness is limited not only by an impassable blood-brain barrier (BBB) to drug delivery to the brain, but also by the heterogeneity of the tumors and intrinsic or acquired drug resistance, resulting in a certain and inescapable tumor relapse. Therefore, novel drug delivery systems are being designed to overcome the BBB and improve therapeutic efficacy. These approaches include nanoparticle-mediated delivery systems, convection-enhanced intra-tumoral infusion, implantable drug-releasing devices, and noninvasive focused ultrasound technology, which induced transient disruption of the BBB. These approaches are designed to enhance local drug exposure and reduce systemic toxicity with promising preclinical and early clinical results. However, many clinical and technical challenges remain, especially the need for safety, homogeneous drug delivery, and translation of these advances into effective clinical therapies. Current glioblastoma treatment landscape and opportunities include maturing delivery systems, novel therapeutic approaches, including targeted molecular therapies and immunotherapy, as well as personalized regimens. This multidisciplinary modality may have the capacity to help not only patients with GBM but others as well through a multimodal approach of targeted drug delivery and innovative therapy in the long run to improve clinical outcomes of GBM in patients.</p>","PeriodicalId":74152,"journal":{"name":"Medical sciences (Basel, Switzerland)","volume":"14 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12922005/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146260208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Parkinson's disease (PD) is a progressive and heterogeneous neurodegenerative disorder and one of the fastest-growing causes of neurological disability worldwide. Although historically defined by motor manifestations resulting from nigrostriatal dopaminergic degeneration, PD is now recognized as a multisystem disorder. Non-motor features-including autonomic dysfunction, neuropsychiatric symptoms, cognitive impairment, and sleep-related disorders-frequently precede motor onset by years or even decades, delineating a clinically meaningful prodromal phase. The aetiology of PD reflects a complex interplay between genetic susceptibility and environmental exposures. Approximately 20% of cases are linked to identifiable pathogenic variants, most commonly in LRRK2, GBA1, and SNCA, whereas the majority arise from cumulative interactions among environmental factors, lifestyle determinants, and common genetic risk variants rather than from single causal mechanisms. Despite substantial advances in understanding disease biology, current therapies remain fundamentally symptomatic. Dopaminergic pharmacotherapy and device-aided interventions improve motor function and, in selected contexts, functional outcomes, but they do not modify disease progression. Non-motor symptoms remain a dominant driver of disability and reduced quality of life. Recent conceptual frameworks propose redefining PD as a biologically defined α-synucleinopathy. Emerging biomarkers, including α-synuclein seed amplification assays in cerebrospinal fluid and peripheral tissues, offer unprecedented opportunities to define biological disease, enable early detection, and stratify patients. However, biomarker positivity currently informs diagnosis and classification rather than prognostication or therapeutic selection, and validated intermediate endpoints linking biomarker change to sustained functional benefit remain lacking. Consequently, translation into disease-modifying therapies has been constrained by late-stage intervention, reliance on clinically defined populations, limited trial generalizability, and marked global inequities in access to advanced diagnostics and treatments. This narrative review synthesizes current evidence on PD epidemiology, diagnosis, aetiology, progression, and treatment, emphasizing gene-environment interactions, convergence on shared pathogenic pathways, limitations of existing therapeutic paradigms, and the as-yet unrealized potential of biologically informed precision care.
{"title":"Parkinson's Disease: From Gene-Environment Risk to Precision Therapy.","authors":"Oscar Arias-Carrión","doi":"10.3390/medsci14010072","DOIUrl":"10.3390/medsci14010072","url":null,"abstract":"<p><p>Parkinson's disease (PD) is a progressive and heterogeneous neurodegenerative disorder and one of the fastest-growing causes of neurological disability worldwide. Although historically defined by motor manifestations resulting from nigrostriatal dopaminergic degeneration, PD is now recognized as a multisystem disorder. Non-motor features-including autonomic dysfunction, neuropsychiatric symptoms, cognitive impairment, and sleep-related disorders-frequently precede motor onset by years or even decades, delineating a clinically meaningful prodromal phase. The aetiology of PD reflects a complex interplay between genetic susceptibility and environmental exposures. Approximately 20% of cases are linked to identifiable pathogenic variants, most commonly in <i>LRRK2</i>, <i>GBA1</i>, and <i>SNCA</i>, whereas the majority arise from cumulative interactions among environmental factors, lifestyle determinants, and common genetic risk variants rather than from single causal mechanisms. Despite substantial advances in understanding disease biology, current therapies remain fundamentally symptomatic. Dopaminergic pharmacotherapy and device-aided interventions improve motor function and, in selected contexts, functional outcomes, but they do not modify disease progression. Non-motor symptoms remain a dominant driver of disability and reduced quality of life. Recent conceptual frameworks propose redefining PD as a biologically defined α-synucleinopathy. Emerging biomarkers, including α-synuclein seed amplification assays in cerebrospinal fluid and peripheral tissues, offer unprecedented opportunities to define biological disease, enable early detection, and stratify patients. However, biomarker positivity currently informs diagnosis and classification rather than prognostication or therapeutic selection, and validated intermediate endpoints linking biomarker change to sustained functional benefit remain lacking. Consequently, translation into disease-modifying therapies has been constrained by late-stage intervention, reliance on clinically defined populations, limited trial generalizability, and marked global inequities in access to advanced diagnostics and treatments. This narrative review synthesizes current evidence on PD epidemiology, diagnosis, aetiology, progression, and treatment, emphasizing gene-environment interactions, convergence on shared pathogenic pathways, limitations of existing therapeutic paradigms, and the as-yet unrealized potential of biologically informed precision care.</p>","PeriodicalId":74152,"journal":{"name":"Medical sciences (Basel, Switzerland)","volume":"14 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12921725/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146260182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Martina Montagnana, Elisa Danese, Sara Bonafini, Cristiano Fava
Childhood overweight and obesity represent a major global public health emergency, with a steadily increasing prevalence over recent decades in both developed and developing countries. Approximately one fifth of children and adolescents are overweight or obese, with marked differences across ethnic groups and geographical areas. Accurate estimation of this condition is complicated by the lack of a unique and universally accepted definition of childhood obesity, which is based on different anthropometric criteria. Although body mass index (BMI) remains the most widely used tool, growing evidence indicates that abdominal obesity, assessed by waist circumference and waist-to-height ratio, is a better predictor of cardiometabolic risk, even in children with a normal BMI. Childhood obesity is associated with several comorbidities, including arterial hypertension, non-alcoholic fatty liver disease (NAFLD) and obstructive sleep apnea syndrome (OSAS). Early diagnosis and an integrated therapeutic approach are essential to reduce the risk of long-term complications. Although lifestyle modifications remain the cornerstone of treatment, new pharmacological options for pediatric obesity have been approved in recent years. This narrative review explores the impact of childhood obesity on the early development of hypertension, NAFLD, and OSAS, emphasizing the implications that can already be observed during childhood and adolescence. It examines the association between pediatric obesity and these conditions by synthesizing current epidemiological evidence, describing the underlying pathophysiological mechanisms linking excess adiposity to disease onset, and reviewing pediatric-specific diagnostic criteria as well as preventive and therapeutic strategies.
{"title":"Childhood Obesity: A Multisystem Challenge Linking Hypertension, NAFLD, and Sleep Apnea.","authors":"Martina Montagnana, Elisa Danese, Sara Bonafini, Cristiano Fava","doi":"10.3390/medsci14010070","DOIUrl":"10.3390/medsci14010070","url":null,"abstract":"<p><p>Childhood overweight and obesity represent a major global public health emergency, with a steadily increasing prevalence over recent decades in both developed and developing countries. Approximately one fifth of children and adolescents are overweight or obese, with marked differences across ethnic groups and geographical areas. Accurate estimation of this condition is complicated by the lack of a unique and universally accepted definition of childhood obesity, which is based on different anthropometric criteria. Although body mass index (BMI) remains the most widely used tool, growing evidence indicates that abdominal obesity, assessed by waist circumference and waist-to-height ratio, is a better predictor of cardiometabolic risk, even in children with a normal BMI. Childhood obesity is associated with several comorbidities, including arterial hypertension, non-alcoholic fatty liver disease (NAFLD) and obstructive sleep apnea syndrome (OSAS). Early diagnosis and an integrated therapeutic approach are essential to reduce the risk of long-term complications. Although lifestyle modifications remain the cornerstone of treatment, new pharmacological options for pediatric obesity have been approved in recent years. This narrative review explores the impact of childhood obesity on the early development of hypertension, NAFLD, and OSAS, emphasizing the implications that can already be observed during childhood and adolescence. It examines the association between pediatric obesity and these conditions by synthesizing current epidemiological evidence, describing the underlying pathophysiological mechanisms linking excess adiposity to disease onset, and reviewing pediatric-specific diagnostic criteria as well as preventive and therapeutic strategies.</p>","PeriodicalId":74152,"journal":{"name":"Medical sciences (Basel, Switzerland)","volume":"14 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12922023/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146260145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background/Objectives: Home Enteral Nutrition Therapy (HENT) is widely used for patients with preserved gastrointestinal function who cannot maintain adequate oral intake. It can be administered through commercial formulas (CF) or artisanal preparation (AP). Methods: This was a cross-sectional, descriptive, observational study with a quantitative and qualitative approach, conducted through semi-structured interviews by the researcher herself. Patients using HENT were evaluated for nutritional status using a 24 h dietary recall, and their quality of life was assessed using a questionnaire administered during an interview with the patient and/or caregiver. Microbial characteristics of the diets were evaluated by collecting samples and performing microbiological analyses according to standard methods. Results: 22 patients participated, mostly elderly, bedridden, and dependent, with gastrostomy as the primary method of administration (72.7%) and CF as the most commonly used (54.5%). AP consisted of cooked vegetables, legumes, milk, oil, and salt, and showed low nutritional diversity and a high risk of microbiological contamination due to manual handling. Frequent complications included diarrhea (72.7%) and mechanical complications (77.7%). Despite these issues, 91% of participants rated their quality of life as acceptable. Conclusions: HENT posed significant challenges to nutritional adequacy and microbiological safety, particularly among patients using artisanal preparations. These findings highlight the need for systematic monitoring and individualized adjustments by a multidisciplinary team, along with structured caregiver training, to optimize intake, reduce complications, and improve the quality and safety of home-based enteral therapy.
{"title":"Nutritional and Microbiological Aspects of the Formulations and the Impact of Home Enteral Nutrition Therapy Use on Patients' Quality of Life.","authors":"Graciele Magda de Almeida, Mariana Buranelo Egea","doi":"10.3390/medsci14010071","DOIUrl":"10.3390/medsci14010071","url":null,"abstract":"<p><p><b>Background/Objectives</b>: Home Enteral Nutrition Therapy (HENT) is widely used for patients with preserved gastrointestinal function who cannot maintain adequate oral intake. It can be administered through commercial formulas (CF) or artisanal preparation (AP). <b>Methods</b>: This was a cross-sectional, descriptive, observational study with a quantitative and qualitative approach, conducted through semi-structured interviews by the researcher herself. Patients using HENT were evaluated for nutritional status using a 24 h dietary recall, and their quality of life was assessed using a questionnaire administered during an interview with the patient and/or caregiver. Microbial characteristics of the diets were evaluated by collecting samples and performing microbiological analyses according to standard methods. <b>Results</b>: 22 patients participated, mostly elderly, bedridden, and dependent, with gastrostomy as the primary method of administration (72.7%) and CF as the most commonly used (54.5%). AP consisted of cooked vegetables, legumes, milk, oil, and salt, and showed low nutritional diversity and a high risk of microbiological contamination due to manual handling. Frequent complications included diarrhea (72.7%) and mechanical complications (77.7%). Despite these issues, 91% of participants rated their quality of life as acceptable. <b>Conclusions</b>: HENT posed significant challenges to nutritional adequacy and microbiological safety, particularly among patients using artisanal preparations. These findings highlight the need for systematic monitoring and individualized adjustments by a multidisciplinary team, along with structured caregiver training, to optimize intake, reduce complications, and improve the quality and safety of home-based enteral therapy.</p>","PeriodicalId":74152,"journal":{"name":"Medical sciences (Basel, Switzerland)","volume":"14 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12922074/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146260143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Malignancy-related gastrointestinal bleeding (GIB) remains a significant clinical challenge, contributing substantially to morbidity, mortality, and healthcare utilization in patients with cancer. Up to 10% of individuals with advanced malignancies develop GIB during their disease, and these episodes are frequently characterized by a high risk of rebleeding and poor long-term hemostatic control. Tumor-associated bleeding typically arises from friable, infiltrative, and highly vascular lesions that respond suboptimally to conventional endoscopic techniques such as thermal coagulation or mechanical clipping. These limitations underscore the need for improved diagnostic accuracy and more reliable therapeutic options. Recent advances in imaging modalities, including contrast-enhanced CT studies, have enhanced the ability to localize and characterize bleeding sources in complex oncologic cases. Parallel developments in endoscopic hemostasis-such as over-the-scope clips and contact-free coagulation devices-have expanded the therapeutic armamentarium for managing malignant bleeding. Clinically, topical hemostatic powders-particularly TC-325-represent a highly effective option for achieving rapid endoscopic hemostasis, supported by the strongest comparative evidence and the highest rates of immediate bleeding control among currently available technologies. In this review, we synthesize contemporary diagnostic approaches to GIB and place particular emphasis on the evolving and emerging therapeutic strategies for malignancy-related bleeding. We also highlight innovative technologies that are reshaping clinical practice and improving management options in this challenging clinical domain.
{"title":"Endoscopic Management of Malignancy-Related Gastrointestinal Bleeding: A Comprehensive Narrative Review.","authors":"Daniele Salvi, Maria Parmigiani, Cristiano Spada, Nicola Olivari, Stefania Piccirelli, Tommaso Schepis, Rossella Maresca, Silvia Pecere, Federico Barbaro, Paola Cesaro","doi":"10.3390/medsci14010069","DOIUrl":"10.3390/medsci14010069","url":null,"abstract":"<p><p>Malignancy-related gastrointestinal bleeding (GIB) remains a significant clinical challenge, contributing substantially to morbidity, mortality, and healthcare utilization in patients with cancer. Up to 10% of individuals with advanced malignancies develop GIB during their disease, and these episodes are frequently characterized by a high risk of rebleeding and poor long-term hemostatic control. Tumor-associated bleeding typically arises from friable, infiltrative, and highly vascular lesions that respond suboptimally to conventional endoscopic techniques such as thermal coagulation or mechanical clipping. These limitations underscore the need for improved diagnostic accuracy and more reliable therapeutic options. Recent advances in imaging modalities, including contrast-enhanced CT studies, have enhanced the ability to localize and characterize bleeding sources in complex oncologic cases. Parallel developments in endoscopic hemostasis-such as over-the-scope clips and contact-free coagulation devices-have expanded the therapeutic armamentarium for managing malignant bleeding. Clinically, topical hemostatic powders-particularly TC-325-represent a highly effective option for achieving rapid endoscopic hemostasis, supported by the strongest comparative evidence and the highest rates of immediate bleeding control among currently available technologies. In this review, we synthesize contemporary diagnostic approaches to GIB and place particular emphasis on the evolving and emerging therapeutic strategies for malignancy-related bleeding. We also highlight innovative technologies that are reshaping clinical practice and improving management options in this challenging clinical domain.</p>","PeriodicalId":74152,"journal":{"name":"Medical sciences (Basel, Switzerland)","volume":"14 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12921756/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146260327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pietro Bellini, Francesco Dondi, Michela Cossandi, Gianluca Viganò, Carlo Cappelli, Elisa Gatta, Davide Lombardi, Riccardo Morandi, Claudio Casella, Luigi Spiazzi, Carlo Rodella, Federica Saiani, Chiara Ingraito, Valentina Zilioli, Francesco Bertagna
Differentiated thyroid carcinoma (DTC) is the most common malignant endocrine tumor, with a generally favorable prognosis. Imaging, including iodine radioactive isotope scintigraphy (IRIS), is crucial for diagnosis and follow-up. While 131I has long been used for both therapeutic and diagnostic purposes, 123I is reserved for diagnostic imaging due to its shorter half-life and γ emissions. This review highlights the utility of 123I scintigraphy, especially in pre-treatment assessment and dosimetry for DTC. It is particularly valuable before radioiodine (RAI) ablation, providing accurate imaging in patients with iodine-refractory (IR) or biochemically incomplete response (BIR) DTC. When compared to post-therapeutic 131I scans, 123I scintigraphy appears to have a lower sensitivity for detecting metastatic lesions, particularly in lymph nodes and lungs. However, its diagnostic performance compared to low-dose diagnostic 131I is more variable, with some studies suggesting superiority due to the absence of stunning. Further research is needed to standardize its use and optimize its role in guiding DTC management.
{"title":"The Role of <sup>123</sup>I in the Management of Differentiated Thyroid Cancer: A Comprehensive Narrative Review.","authors":"Pietro Bellini, Francesco Dondi, Michela Cossandi, Gianluca Viganò, Carlo Cappelli, Elisa Gatta, Davide Lombardi, Riccardo Morandi, Claudio Casella, Luigi Spiazzi, Carlo Rodella, Federica Saiani, Chiara Ingraito, Valentina Zilioli, Francesco Bertagna","doi":"10.3390/medsci14010068","DOIUrl":"10.3390/medsci14010068","url":null,"abstract":"<p><p>Differentiated thyroid carcinoma (DTC) is the most common malignant endocrine tumor, with a generally favorable prognosis. Imaging, including iodine radioactive isotope scintigraphy (IRIS), is crucial for diagnosis and follow-up. While <sup>131</sup>I has long been used for both therapeutic and diagnostic purposes, <sup>123</sup>I is reserved for diagnostic imaging due to its shorter half-life and γ emissions. This review highlights the utility of <sup>123</sup>I scintigraphy, especially in pre-treatment assessment and dosimetry for DTC. It is particularly valuable before radioiodine (RAI) ablation, providing accurate imaging in patients with iodine-refractory (IR) or biochemically incomplete response (BIR) DTC. When compared to post-therapeutic <sup>131</sup>I scans, <sup>123</sup>I scintigraphy appears to have a lower sensitivity for detecting metastatic lesions, particularly in lymph nodes and lungs. However, its diagnostic performance compared to low-dose diagnostic <sup>131</sup>I is more variable, with some studies suggesting superiority due to the absence of stunning. Further research is needed to standardize its use and optimize its role in guiding DTC management.</p>","PeriodicalId":74152,"journal":{"name":"Medical sciences (Basel, Switzerland)","volume":"14 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12921828/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146260308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}