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Chronic pulmonary aspergillosis (CPA) is a chronic progressive lung disease associated with a poor prognosis and a 5-year mortality rate of approximately 40–50%. The disease is characterized by slowly progressive destruction of the lung parenchyma, in the form of multiple cavities, nodules, infiltrates or fibrosis. CPA can be challenging to diagnose due to its non-specific symptoms and similarities with other respiratory conditions combined with the poor awareness of the medical community about the disease. This can result in delayed treatment even for years and worsening of the patient’s condition. Serological tests certainly play a significant role in diagnosing CPA but cannot be interpreted without radiological confirmation of CPA. Although many data are published on this hot topic, there is yet no single definitive test for diagnosing CPA, and a multidisciplinary approach which involves a combination of clinical picture, radiological findings, microbiological results and exclusion of other mimicking diseases, is essential for the accurate diagnosis of CPA.

Introduction: Lung cancer remains the leading cause of cancer death among all cancers. The discovery of epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK) mutations led to an increased survival rate in patients with locally advanced and metastatic non-small cell lung cancer (NSCLC). Results of the ALTA 1L study showed superior outcomes for patients treated with brigatinib compared to patients treated with crizotinib. Background: We conducted research including 23 patients with ALK-positive lung adenocarcinoma who were treated with brigatinib in first or further lines of therapy. The median follow-up was 22 months (4–66 months). Results: There were no significant differences in patient population between the first and further lines of treatment regarding sex distribution (p = 0.692), smoking status (p = 0.554), ECOG performance status (p = 1.000), and baseline presence of brain metastases (p = 0.862). The response rate was 47.8%, and disease control was 95.6%. The 12-month progression-free survival (PFS) and overall survival (OS) rates were 85.3% and 86.5%, respectively, while the 60-month PFS rate was not reached, and the 60-month OS rate was 27.1%. The mPFS and mOS were 32 months. Conclusions: The results of this analysis are promising, as our patients experienced better outcomes compared to those in the ALTA 1L study, which may be attributed to the small sample size. However, the effectiveness of brigatinib has been confirmed in our clinical practice.

Malignant pleural mesothelioma (MPM) is a very aggressive tumor. The prognostic value of PD-L1 and BAP1 expression has been investigated in many studies. A retrospective study was conducted that analyzed PD-L1 and BAP1 expression as prognostic biomarkers in patients with MPM. The study included 53 patients with MPM. PD-L1 expression ≥ 1% was found in 39.6%, and BAP1 loss was found in 81.1% of patients. The median overall survival (mOS) was 11 months. Subtype of MPM (p = 0.045), early tumor stage (p = 0.049), therapy (p = 0.002), and good PS (0–1) (p = 0.012) were associated with better survival. Expression of PD-L1 and BAP1 did not show statistical significance regarding OS, but OS was numerically shorter in patients with PD-L1 ≥ 10% (5 vs. 12 months) and longer in patients with BAP1 loss (12 vs. 4 months). In patients with PD-L1 ≥ 1% and BAP1 loss, the median progression-free survival (mPFS) was numerically longer (10 vs. 7 months) but in patients with PD-L1 ≥ 1% and BAP1 positivity, PFS was statistically significantly shorter (1 vs. 7 months, p = 0.048). Our results did not show that PD-L1 and BAP1 are prognostic biomarkers for MPM, but positive PD-L1 expression and BAP1 loss were associated with worse survival in patients with MPM.

Background: Low-dose computed tomography (LDCT) lung cancer screening (LCS) frequently identifies emphysema in high-risk smokers. However, the extent to which CT-detected emphysema reflects underlying physiological impairment remains uncertain. We evaluated whether spirometry can detect functional abnormalities in this population beyond structural imaging findings. Methods: This cross-sectional study included 323 individuals with LDCT- detected emphysema and no lung cancer or prior chronic respiratory diseases within a screening cohort (n = 3076). Participants underwent pre-bronchodilator spirometry and symptom assessments (COPD Assessment test (CAT) and Modified Medical Research Council (mMRC) Dyspnea Scale). Pre-bronchodilator airflow limitation was defined as forced expiratory volume in one second to forced vital capacity ratio (FEV1/FVC) < 0.70. Small airways dysfunction was defined by ≥2 reduced mid-expiratory flow parameters (<60% predicted). Flow–volume curve morphology was assessed qualitatively. Results: Pre-bronchodilator airflow limitation was observed in 45.2% of participants, predominantly mild. Small-airway dysfunction was present in 52%, and an abnormal flow–volume curve morphology in 67.5%. Notably, functional abnormalities were frequently observed despite preserved FEV1. Symptom burden was low, with only 7.7% of participants reporting clinically significant symptoms. Functional impairments often overlapped and were common in minimally symptomatic individuals. Conclusions: In a lung cancer screening (LCS) cohort with CT-detected emphysema, functional abnormalities are frequently observed, including in individuals with preserved FEV1 and minimal symptoms. Spirometry provides additional physiological insight beyond structural imaging; however, these findings are descriptive and should not be interpreted as diagnostic of COPD. Further studies are needed to determine their clinical relevance.

Background/Objectives: Idiopathic pulmonary fibrosis (IPF) registries are established to enhance understanding of its natural history. Methods: Serbia (RS) participated in the EMPIRE (European Multi-Partner IPF Registry) from June 2015 to October 2022, involving four centers. The registry included patients over 18 diagnosed with IPF based on the 2011 international criteria. We aimed to gather key clinical, functional, and survival data, along with treatment information for IPF patients in RS, using a centralized electronic case report for consistency. Results: 188 RS patients participated (median age at diagnosis 65, 63.8% male, 51% smoking history, 56% radiological usual interstitial pneumonia (UIP) pattern). At the diagnosis, median forced vital capacity (FVC) was 73.7% and diffusion capacity for carbon monoxide (DLCO) was 38%. At initiation of antifibrotic therapy, median FVC was 73.2% (71.5% for deceased, 75.8% for survivors (p = 0.455), and DLCO was 33.8% (19.9% for deceased, and 35.6% for survivors (p = 0.046)). The median long-term survival from diagnosis was 29.4 months (95% CI: 22.6–36.2 months), and 9.4 months (95% CI: 5.9–12.9 months) from the initiation of therapy, with no difference in the duration of antifibrotic treatment between survivors and deceased (p = 0.598). Conclusions: The RS EMPIRE cohort represents a younger, less comorbid population with fewer smokers and more probable UIP, factors linked to a favorable prognosis. Nevertheless, survival was poorer than expected, mainly due to advanced disease severity at the time of antifibrotic initiation, as indicated by lower DLCO. These findings highlight the importance of earlier diagnosis and treatment before significant physiological decline to improve outcomes.

Background/Objectives: Patients with stage III non-small cell lung cancer represent a very heterogeneous group of patients. In the past, the standard of care for patients with inoperable stage III non-small cell lung cancer was concurrent or sequential radical radiotherapy and chemotherapy. But the progression-free survival was 8 months, and the 5-year overall survival rate was less than 20%. After the results of the PACIFIC study, the standard of care for this group of patients is chemoradiotherapy with durvalumab as consolidation therapy. The aim of our study was to evaluate the efficacy of consolidation durvalumab in a real-world setting after sequential CRT. Methods: We included 24 patients with unresectable stage III non-small cell lung cancer who did not progress after sequential chemoradiotherapy and who received durvalumab consolidation. Results: Median progression-free survival was 16 months, 95% CI (0.5–31.5), and median overall survival was 20 months, 95% CI (13.4–26.6 months). The twelve-month progression-free survival and overall survival rate were 55.1% and 68%, respectively, and the 18-month progression-free survival and overall survival rates were 44.1% and 56.5%, respectively. Conclusions: Durvalumab introduced a new era in the treatment of patients with unresectable stage III non-small cell lung cancer with a significantly prolonged 5-year overall survival rate. Our study is one of the few that investigated the efficacy of durvalumab in a real-world setting after sequential CRT. Our results showed that durvalumab is effective in patients who were treated with sequential CRT. However, the time between radiotherapy termination and the start of durvalumab should be shorter.

Background: Lung cancer remains the leading cause of cancer-related mortality worldwide, with non-small cell lung cancer (NSCLC) accounting for the majority of cases. Radiomics and artificial intelligence (AI) have emerged as promising tools for quantitative imaging analysis and precision staging. This study aimed to evaluate the ability of an AI-based radiomics model to preoperatively predict tumor (T) and nodal (N) stage, lymphovascular invasion (LVI), and postoperative complications in patients with early-stage NSCLC. Material and Methods: This retrospective study included 51 consecutive patients who underwent anatomical lobectomy with systematic lymph node dissection between 2019 and 2024, at the Clinic for Thoracic Surgery of the University Clinical Center of Serbia. Quantitative imaging features were extracted from preoperative CT scans using the Lesion Scout with Auto ID module (syngo.via VB50 MM, Siemens Healthineers). Radiomics and clinical predictors were analyzed using regularized logistic regression (LASSO) with five-fold cross-validation. Model performance was assessed using AUC, accuracy, sensitivity, specificity, precision, and F1 score, and calibration was evaluated using the Hosmer–Lemeshow test. Groups were compared using parametric and non-parametric tests. Correlation between the variables was assessed using Spearman’s rank correlation coefficient. All p-values less than 0.05 were considered significant. Results: The AI-based model showed excellent performance for predicting the T component (training AUC = 0.89; test AUC = 0.86; F1 = 0.81) and acceptable calibration (p = 0.41). Nodal metastasis (OR = 0.108; 95% CI: 0.011–1.069; p = 0.057) and LVI (OR = 0.519; 95% CI: 0.139–1.937; p = 0.329) were not significantly predicted. Emphysema was identified as a significant independent predictor of postoperative complications (χ2 = 5.13; p = 0.024). Conclusions: The AI-driven radiomics model demonstrated strong predictive ability for the T component and identified emphysema as a clinically relevant predictor of postoperative complications.

Background and Objectives: Lung cancer is the second most common form of cancer in the world for both men and women as well as the most common cause of cancer-related deaths worldwide. The aim of this study is to summarize the radiological characteristics between primary lung adenocarcinoma subtypes and to correlate them with FDG uptake on PET-CT. Materials and Methods: This retrospective study included 102 patients with pathohistologically confirmed lung adenocarcinoma. A PET-CT examination was performed on some of the patients and the values of SUVmax were also correlated with the histological and morphological characteristics of the masses in the lungs. Results: The results of this analysis showed that the mean size of AIS-MIA (adenocarcinoma in situ and minimally invasive adenocarcinoma) cancer was significantly lower than for all other cancer types, while the mean size of the acinar cancer was smaller than in the solid type of cancer. Metastases were significantly more frequent in solid adenocarcinoma than in acinar, lepidic, and AIS-MIA cancer subtypes. The maximum standardized FDG uptake was significantly lower in AIS-MIA than in all other cancer types and in the acinar predominant subtype compared to solid cancer. Papillary predominant adenocarcinoma had higher odds of developing contralateral lymph node involvement compared to other types. Solid adenocarcinoma was associated with higher odds of having metastases and with higher SUVmax. AIS-MIA was associated with lower odds of one unit increase in tumor size and ipsilateral lymph node involvement. Conclusions: The correlation between histopathological and radiological findings is crucial for accurate diagnosis and staging. By integrating both sets of data, clinicians can enhance diagnostic accuracy and determine the optimal treatment plan.

It is well known that the Jacobi operators completely determine the curvature tensor. The question of existence of a curvature tensor for given Jacobi operators naturally arises, which is considered and solved in the previous work. Unfortunately, although the published theorem is correct, its proof is incomplete because it contains some omissions, and the aim of this paper is to present a complete and accurate proof. We also generalize the main theorem to the case of indefinite scalar product space. Accordingly, we generalize the proportionality principle for Osserman algebraic curvature tensors.

We consider pseudo-Riemannian generalizations of Osserman, Clifford, and the duality principle properties for algebraic curvature tensors and investigate relations between them. We introduce quasi-Clifford curvature tensors using a generalized Clifford family and show that they are Osserman. This allows us to discover an Osserman curvature tensor that does not satisfy the duality principle. We give some necessary and some sufficient conditions for the total duality principle.