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To demonstrate the feasibility of percutaneous microwave ablation in desmoid fibromatosis with respect to tumor volume control and improvement in the quality of life. Twelve microwave ablations were performed in 9 patients with a histological diagnosis of desmoid fibromatosis between January 2010 and January 2019. The study population included 6 female and 3 male, with an age range of 21-76 years (mean = 46.6 years; standard deviation [SD] = 19.3 years). The mean major axis of the tumors was 10.9 cm (SD = 5.2 cm) and mean lesion volume was 212.7 cm³ (SD = 213 cm³). Their anatomical distribution was as follows: 3 lesions in the thigh, 2 in the gluteus, 2 in the leg and 2 in the periscapular region. We evaluated the reduction in tumor volume and improvement in the quality of life based on the Eastern Cooperative Oncology Group (ECOG) scale. An average tumor volume reduction of 70.4% (SD = 24.9) was achieved, while the quality of life (ECOG scale) improved in 88.9% of patients. Percutaneous microwave ablation may potentially be a safe, effective, and promising technique for controlling tumor volume and improving the quality of life in patients with desmoid fibromatosis.

Headache disorders (HDs) are among the most common conditions of the central nervous system, with an estimated prevalence of 50% in adult population. The aim of this work is to analyze the prevalence of structural anomalies that may explain HDs in MRI exams performed to rule out secondary headache in real-world practice, as well as risk factors associated with these lesions. We conducted a retrospective observational study based on a consecutive case series of all patients that underwent brain MRI due to headache from 1 January 2019 to 31 May 2019. We included patients from six MRI diagnostic centers accounting for four provinces of Andalusia (southern Spain). Bivariate and multivariate logistical regression models were performed to identify risk factors associated with the outcomes (1) presence of a structural finding potentially explaining headache, (2) presence of intracranial space-occupying lesions (SOLs), and (3) presence of intracranial tumors (ITs). Of the analyzed sample (1041 patients), a structural finding that could explain headache was found in 224 (21.5%) patients. SOLs were found in 50 (6.8%) patients and ITs in 12 (1.5%) patients. The main factors associated with structural abnormalities were female sex (OR, 1.35; 95% CI, 1.02–1.85), accompanying symptoms (OR, 1.34; 95% CI, 1.05–1.89), use of gadolinium-based contrast agents (OR, 1.89; 95% CI, 1.31–2.72) and previously known conditions potentially explaining headache (OR, 2.44; 95% CI, 1.55–3.84). Female sex (p = 0.048) and accompanying symptoms (p = 0.033) were also associated with ITs in bivariate analyses. Our results may be relevant for different medical specialists involved in the diagnosis, management and prevention of headache. Moreover, the risk factors identified in our study might help the development of public health strategies aimed at early diagnosis of brain tumors. Future studies are warranted to corroborate our findings.

Introduction: The efficacy of percutaneous vertebroplasty (PV) versus placebo and conservative treatment (CT) in patients with osteoporotic vertebral fractures (OVFs) has been debated in recent years. The aim of this study was to conduct an updated systematic review with a meta-analysis on the efficacy of randomized controlled trials (RCTs) comparing PV versus placebo and CT in pain relief, functionality and quality of life in patients with OVFs. Methods: A systematic search was conducted in PubMed, Web of Science, EMBASE, and CENTRAL, resulting in a total of 15 RCTs. The risk of bias was assessed using the Risk of Bias v.2 tool. A meta-analysis was performed using the weighted inverse variance method to analyze the standardized mean difference (SMD) in pain (VAS/NRS scales), functionality (RMDQ/ODI scales) and quality of life (QUALEFFO scale) in the short (<1 month), medium (1–6 months) and long terms (≥6 months). Heterogeneity was assessed using I2 and τ2. Subgroup analyses were performed according to the type of control, geographic region, number of institutions, fracture chronicity, and risk of bias. In addition, sensitivity (leave-one-out) and publication bias (funnel plots and Egger’s tests) analyses were performed. Results: Overall, PV showed benefits over the combined control groups in pain relief in the short (SMD: −0.68; 95%CI: −1.28–−0.07), medium (SMD: −0.63; 95%CI: −1.18–−0.07), and long terms (SMD: −0.59; 95%CI: −1.02–−0.15). No statistically significant differences were found in functionality and quality of life, although several trends toward significance were observed favoring PV. Subgroup analyses showed greater advantages of PV at several time intervals in acute (<8 weeks) OVFs, multicentric trials and studies with a low risk of bias. There were cues suggestive of potential publication bias in functionality, but not in pain or quality of life. Conclusions: PV shows significant benefits in pain relief, particularly in acute OVFs, but its efficacy in terms of functionality and quality of life remains unclear. These results support the use of PV in appropriately selected patients. However, given the high heterogeneity found, more controlled, multicenter trials are still required.

Introduction: Magnetic resonance imaging (MRI) is the reference imaging modality for locoregional staging and restaging of rectal cancer (RC). However, its agreement with surgical pathology in real-world practice is limited. We aimed to assess the agreement and diagnostic performance of preoperative MRI for dichotomized T and N staging in RC. Secondarily, we explored the direction of MRI misclassification and potential preoperative factors associated with discordance. Methods: We conducted a retrospective real-world study on 152 consecutive patients with pathologically confirmed RC who underwent surgery between September 2019 and June 2025 in our institution. Two cohorts were analyzed separately: patients treated without neoadjuvant therapy (non-NAT, n = 70) and patients treated with NAT followed by restaging MRI and surgery (NAT, n = 82). The main staging outcomes were dichotomized into T0-T2 vs. ≥T3 and N0 vs. N+, using final pathology as the reference standard. Agreement, Cohen’s kappa, sensitivity, specificity, predictive values, McNemar’s test, and exploratory regression analyses for misclassification were performed. Results: In the overall cohort, agreement was 72.4% for T staging and 73.0% for N staging, with moderate agreement for T (kappa = 0.452) and fair-to-moderate agreement for N (kappa = 0.349). Sensitivity and specificity were 80.3% and 67.0% for T staging and 54.5% and 80.6% for N staging, respectively. T-stage errors were mainly associated with overstaging. In NAT-treated patients, baseline MRI showed markedly poorer agreement with final pathology than restaging MRI, particularly for T stage (45.1% vs. 72.0%). Exploratory analyses did not identify strong or reproducible predictors of misclassification. Conclusions: This real-world study provides a contemporary estimate of MRI-pathology agreement for dichotomized T and N staging in routine RC care. Agreement was moderate, and performance was more consistent for advanced T-category assessment than for nodal staging. These findings support MRI as a practical tool for multidisciplinary risk stratification and highlight the need for continued monitoring of MRI usage and performance in clinical practice.

Background: MRI-based radiomics has emerged as a promising approach to enhance the non-invasive, presurgical assessment of lymph node staging in rectal cancer (RC). However, its clinical implementation remains limited due to methodological variability in published studies. We conducted a systematic review and meta-analysis to synthesize the diagnostic performance of MRI-based radiomics models for predicting pathological nodal status (pN) in RC. Methods: A systematic literature search was conducted in PubMed, Web of Science, and Scopus for studies published until 31 December 2024. Eligible studies applied MRI-based radiomics for pN prediction in RC patients. We excluded other imaging sources and models combining radiomics and other data (e.g., clinical). All models with available outcome metrics were included in data analysis. Data extraction and quality assessment (QUADAS-2) were performed independently by two reviewers. Random-effects meta-analyses including hierarchical summary receiver operating characteristic (HSROC) and restricted maximum likelihood estimator (REML) analyses were conducted to pool sensitivity, specificity, area under the curve (AUC), and diagnostic odds ratios (DORs). Sensitivity analyses and publication bias evaluation were also performed. Results: Sixteen studies (n = 3157 patients) were included. The HSROC showed pooled sensitivity, specificity, and AUC values of 0.68 (95% CI, 0.63–0.72), 0.73 (95% CI, 0.68–0.78), and 0.70 (95% CI, 0.65–0.75), respectively. The mean pooled AUC and DOR obtained by REML were 0.78 (95% CI, 0.75–0.80) and 6.03 (95% CI, 4.65–7.82). Funnel plot asymmetry and Egger’s test (p = 0.025) indicated potential publication bias. Conclusions: Overall, MRI-based radiomics models demonstrated moderate accuracy in predicting pN status in RC, with some studies reporting outstanding results. However, heterogeneity in relevant methodological approaches such as the source of MRI sequences or machine learning methods applied along with possible publication bias call for further standardization and preclude their translation to clinical practice.

Background Long-term-specific sequelae or persistent symptoms (SPS) after hospitalisation due to COVID-19 are not known. The aim of this study was to explore the presence of SPS 12 months after discharge in survivors hospitalised due to COVID-19 and compare it with survivors hospitalised due to other causes. Methods Prospective cohort study, the Andalusian Cohort of Hospitalised patients for COVID-19 (ANCOHVID study), conducted in 4 hospitals and 29 primary care centres in Andalusia, Spain. The sample was composed of 906 adult patients; 453 patients hospitalised due to COVID-19 (exposed) and 453 hospitalised due to other causes (non-exposed) from March 1 to April 15, 2020, and discharged alive. The main outcomes were (1) the prevalence of SPS at 12 months after discharge and (2) the incidence of SPS after discharge. Outcome data at 12 months were compared between the exposed and non-exposed cohorts. Risk ratios were calculated, and bivariate analyses were performed. Results A total of 163 (36.1%) and 160 (35.3%) patients of the exposed and non-exposed cohorts, respectively, showed at least one SPS at 12 months after discharge. The SPS with higher prevalence in the subgroup of patients hospitalised due to COVID-19 12 months after discharge were persistent pharyngeal symptoms ( p <0.001), neurological SPS ( p =0.049), confusion or memory loss ( p =0.043), thrombotic events ( p =0.025) and anxiety ( p =0.046). The incidence of SPS was higher for the exposed cohort regarding pharyngeal symptoms (risk ratio, 8.00; 95% CI, 1.85 to 36.12), confusion or memory loss (risk ratio, 3.50; 95% CI, 1.16 to 10.55) and anxiety symptoms (risk ratio, 2.36; 95% CI, 1.28 to 4.34). Conclusions There was a similar frequency of long-term SPS after discharge at 12 months, regardless of the cause of admission (COVID-19 or other causes). Nevertheless, some symptoms that were found to be more associated with COVID-19, such as memory loss or anxiety, merit further investigation. These results should guide future follow-up of COVID-19 patients after hospital discharge.

Carbapenemase-producing Enterobacterales (CPE) are significant contributors to the global public health threat of antimicrobial resistance. OXA-48-like enzymes and their variants are unique carbapenemases with low or null hydrolytic activity toward carbapenems but no intrinsic activity against expanded-spectrum cephalosporins. CPEs have been classified by the WHO as high-priority pathogens given their association with morbidity and mortality and the scarce number of effective antibiotic treatments. In Spain, the frequency of OXA-48 CPE outbreaks is higher than in other European countries, representing the major resistance mechanism of CPEs. Horizontal transfer of plasmids and poor effective antibiotic treatment are additional threats to the correct prevention and control of these hospital outbreaks. One of the most important risk factors is antibiotic pressure, specifically carbapenem overuse. We explored the use of these antibiotics in Spain and analyzed the frequency, characteristics and prevention of CPE outbreaks. Future antibiotic stewardship programs along with specific preventive measures in hospitalized patients must be reinforced and updated in Spain.

Background: Transjugular intrahepatic portosystemic shunt (TIPS) has emerged as a feasible therapeutic option for cirrhotic patients with portal vein thrombosis (PVT). This study aimed to assess the long-term outcomes and factors associated with TIPS dysfunction in cirrhotic patients with PVT over an 18-year period in our institution. Methods: A retrospective study was conducted at Hospital Universitario Reina Sofía (Córdoba, Spain), including adult and pediatric cirrhotic patients with PVT who underwent TIPS between January 2006 and December 2024. Patient characteristics, procedural techniques, and clinical outcomes were evaluated. The primary outcomes were TIPS insertion success rate, primary patency, and dysfunction (stenosis or occlusion). Bivariate comparisons, logistic regression and receiver-operating characteristic (ROC) analyses were performed to identify potential predictors of TIPS dysfunction. Survival analyses using the Kaplan–Meier method and log-rank test, complemented by Cox regression, were also conducted. Results: A total of 36 patients (mean age, 44.8 ± 20.1 years old; 22.2% women; 19.4% children) were included, with a mean follow-up of 66.3 ± 45.9 months and nine deaths (one attributable to the procedure). The primary success rate of TIPS placement was 100%, and mean primary patency was 40.3 ± 40.2 months. TIPS dysfunction occurred in 30.3% of patients. Logistic regression identified age as the only significant predictor of TIPS dysfunction (OR = 0.949; 95%CI, 0.907–0.985, p = 0.011). ROC analysis demonstrated an AUC of 0.737 (95%CI, 0.547–0.927), with an optimal age cut-off of 21 (equivalent to 18 years; sensitivity = 91.3%, specificity = 50%). When age was dichotomized into adult versus pediatric groups, the OR was 0.095 (95%CI, 0.011–0.560), consistent with survival analyses (log-rank p = 0.007; HR = 4.85; 95%CI 1.36–16.88, p = 0.015). Conclusions: TIPS is an effective treatment for cirrhotic patients with PVT, achieving high technical success and long-term patency. However, it is not exempt from complications, including death, and potential dysfunction remains a concern, particularly in pediatric patients. Further prospective studies with larger cohorts are warranted to refine patient selection and optimize outcomes.

Differentiating tumor progression from radionecrosis in patients with treated brain glioma represents a significant clinical challenge due to overlapping imaging features. This study aimed to develop and evaluate a machine learning model that integrates radiomics features and T2*-weighted Dynamic Susceptibility Contrast MRI perfusion (DSC MRI) parameters to improve diagnostic accuracy in distinguishing these entities. A retrospective cohort of 46 patients (25 with confirmed radionecrosis, 21 with glioma progression) was analyzed. From lesion segmentation on DSC MRI, 851 radiomics features were extracted using PyRadiomics, alongside seven perfusion parameters (e.g., relative cerebral blood volume, time to peak) obtained from time–intensity curves (TICs). These features were combined into a single dataset and 14 classification algorithms were evaluated with GroupKFold cross-validation (k = 4). The top-performing model was selected based on predictive area under the curve (AUC) yield. The Logistic Regression classifier achieved the highest performance, with an AUC of 0.88, followed by multilayer perceptron and AdaBoost with AUC values of 0.85 and 0.79, respectively. The precision values were 72%, 74%, and 78% for the three models, respectively, while the accuracy was 63%, 70%, and 71%. Key predictive variables included radiomics features like wavelet-HHH_firstorder_Mean and mean normalized TIC values. Our combined approach integrating radiomics and DSC MRI parameters shows strong potential for distinguishing radionecrosis from glioma progression. However, further validation with larger cohorts is essential to confirm the generalizability of this approach.

Introduction: Sarcopenia, a condition characterized by a loss of skeletal muscle mass, is increasingly recognized as a significant factor influencing patient outcomes in pancreatic cancer (PC). This systematic review and meta-analysis aimed to estimate the prevalence of sarcopenia in patients with PC using computed tomography and to explore how different measurement methods and cut-off values impact such prevalence. Materials and Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a comprehensive search of PubMed, Web of Science, and EMBASE databases was performed, identifying 48 observational studies involving 9063 patients. Results: The overall pooled prevalence of sarcopenia was 45% (95% CI, 40–50%), but varied significantly by the method used: 47% when measured with the skeletal muscle index and 33% when assessed with the total psoas area. In addition, in studies using SMI, sarcopenia prevalence was 19%, 45%, and 57% for cutoff values <40 cm2/m2, 40–50 cm2/m2, and >50 cm2/m2, respectively. Moreover, the prevalence was higher in patients receiving palliative care (50%) compared to those treated with curative intent (41%). High heterogeneity was observed across all analyses, underscoring the need for standardized criteria in sarcopenia assessment. Conclusions: Our findings highlight the substantial variability in sarcopenia prevalence, which could influence patient outcomes, and stress the importance of consensus in measurement techniques to improve clinical decision making and research comparability.