Browsing by Author "Bascarevic, Slavisa (23472078000)"

Background: In spite of the progress made in neoadjuvant therapy for operable non small-cell lung cancer (NSCLC), many issues remain unsolved, especially in locally advanced stage IIIA. Methods: Retrospective data of 163 patients diagnosed with stage IIIA NSCLC after surgery was analyzed. The patients were divided into two groups: a preoperative chemotherapy group including 59 patients who received platinum-etoposide doublet treatment before surgery, and an upfront surgery group including 104 patients for whom surgical resection was the first treatment step. Adjuvant chemotherapy or/and radiotherapy was administered to 139 patients (85.3%), while 24 patients (14.7%) were followed-up only. Results: The rate of N2 disease was significantly higher in the upfront surgery group (P < 0.001). The one-year relapse rate was 49.5% in the preoperative chemotherapy group compared to 65.4% in the upfront surgery group. There was a significant difference in relapse rate in relation to adjuvant chemotheraphy treatment (P = 0.007). The probability of relapse was equal whether radiotherapy was applied or not (P = 0.142). There was no statistically significant difference in two-year mortality (P = 0.577). The median survival duration after two years of follow-up was 19.6 months in the preoperative chemotherapy group versus 18.8 months in the upfront surgery group (P = 0.608 > 0.05). Conclusion: There was significant difference in preoperative chemotherapy group regarding relapse rate and treatment outcomes related to the lymph node status comparing to the upfront surgery group. Neoadjuvant/adjuvant chemo-therapy is a part of treatment for patients with stage IIIA NSCLC, but further investigation is required to determine optimal treatment. © 2017 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd

Aim. The aim of this study was to evaluate the role of thoracic sonography in treatment of pleural effusions and to identify sonographic indicators for surgical intervention. Materials and Methods. This study included 378 patients with pleural effusions. US characteristics of effusions as the echo structure and pleural thickening were analyzed. Regarding the US finding, the diagnostic or therapeutic procedure was performed. Results. The study included 267 male and 111 female patients, an average of 56.7 years. Infection was the most frequent cause of effusion. Two hundred sixty-nine patients had loculated and 109 free pleural effusion. Most frequent echo structure of loculated effusion was complex septate, whereas free effusion was mostly anechoic. Successful obtaining of the pleural fluid without real-time guidance was in 88% and under real-time guidance in 99% patients (p < 0.012). There was no significant difference in success rate between free and loculated effusion and regarding the echo structure (p = 0.710 and 0.126, respectively). Complete fluid removal after serial thoracentesis or drainage was achieved in 86% patients. Forty-five patients with significantly thicker pleural peel and impairment of the diaphragmatic function than remaining of the group (p < 0.001) underwent surgery. Open thoracotomy and decortication was more frequently performed in patients with completely fixed diaphragm and complex, dominantly septated effusions. There is no significant difference in US parameters comparing to patients underwent VATS, but the number of VATS is too small for valid conclusion. Conclusion. Thoracic sonography is a very useful tool in the evaluation of clinical course and treatment options in patients with pleural effusions of a different origin. Copyright © 2018 Ruza Stevic et al.

Background: The prediction of postoperative respiratory function is necessary in identifying patients that are at greater risk of complications. There are not enough studies on the effect of the diaphragm on postoperative respiratory function prediction in lung cancer surgical patients. The objective of this study is to estimate the precision of machine learning methods in the prediction of respiratory function in the immediate postoperative period and how diaphragm function contributes to that prediction. Materials and methods: Our prospective study included 79 patients who underwent lung cancer surgery. Diaphragm function was estimated by its mobility measured both ultrasonographically and radiographically and by noninvasive muscle strength tests. We present a new machine learning multilayer regression metamodel, which predicts FEV1 for each patient based on preoperative measurements. Results: The proposed regression models are specifically trained to predict FEV1 in the immediate postoperative period and were proved to be highly accurate (mean absolute error in the range from 8 to 11%). Predictive models based on resected segments give two to three times less precise results. Measured FEV1 was 44.68% ± 14.07%, 50.95% ± 15.80%, and 58.0%1 ± 14.78%, and predicted postoperative (ppo) FEV1 was 43.85% ± 8.80%, 50.62% ± 9.28%, and 57.85% ± 10.58% on the first, fourth, and seventh day, respectively. By interpreting the obtained model, the diaphragm contributes to ppoFEV1 13.62% on the first day, 10.52% on the fourth, and 9.06% on the seventh day. Conclusion: The machine learning metamodel gives more accurate predictions of postoperative lung function than traditional calculations. The diaphragm plays a notable role in the postoperative FEV1 prediction. © 2023, The Author(s).