Browsing by Author "Masulovic, Dragan (57215645003)"

Amyand's hernia is a condition where the vermiform appendix is contained within an inguinal hernia sac. An inguinal hernia with an appendix in the hernia sac is extremely rare and almost exclusively occurs on the right side. The mechanism of developing appendicitis with hernia is most likely the compression of the appendix at the level of the neck of the sac or due to impaired vascular supply leading to infection. Despite technological advances in radiology modalities, the preoperative diagnosis of and hernia is challenging: the role of abdominal ultrasound and computed tomography is very important and is essential in planning surgical management and approaches. In our case, we made a rare preoperative diagnosis of Amyand's hernia using ultrasound showing a typical appearance only without wall hyperemia probably due to vascular compression of the inguinal ring, which was confirmed by CT. CT is more sensitive to the detection of radiological signs of appendiceal inflammation and perforation in the hernia sac and is most often used in the case of an inconclusive ultrasound findings. Due to the prompt radiological diagnosis of acute appendicitis in the hernia sac provided by ultrasound, our patient underwent laparoscopic appendectomy. © 2024 Australasian Sonographers Association.

Background: This study analyzed different classifier models for differentiating pancreatic adenocarcinoma from surrounding healthy pancreatic tissue based on radiomic analysis of magnetic resonance (MR) images. Methods: We observed T2W-FS and ADC images obtained by 1.5T-MR of 87 patients with histologically proven pancreatic adenocarcinoma for training and validation purposes and then tested the most accurate predictive models that were obtained on another group of 58 patients. The tumor and surrounding pancreatic tissue were segmented on three consecutive slices, with the largest area of interest (ROI) of tumor marked using MaZda v4.6 software. This resulted in a total of 261 ROIs for each of the observed tissue classes in the training–validation group and 174 ROIs in the testing group. The software extracted a total of 304 radiomic features for each ROI, divided into six categories. The analysis was conducted through six different classifier models with six different feature reduction methods and five-fold subject-wise cross-validation. Results: In-depth analysis shows that the best results were obtained with the Random Forest (RF) classifier with feature reduction based on the Mutual Information score (all nine features are from the co-occurrence matrix): an accuracy of 0.94/0.98, sensitivity of 0.94/0.98, specificity of 0.94/0.98, and F1-score of 0.94/0.98 were achieved for the T2W-FS/ADC images from the validation group, retrospectively. In the testing group, an accuracy of 0.69/0.81, sensitivity of 0.86/0.82, specificity of 0.52/0.70, and F1-score of 0.74/0.83 were achieved for the T2W-FS/ADC images, retrospectively. Conclusions: The machine learning approach using radiomics features extracted from T2W-FS and ADC achieved a relatively high sensitivity in the differentiation of pancreatic adenocarcinoma from healthy pancreatic tissue, which could be especially applicable for screening purposes. © 2025 by the authors.

Background: This study analyzed different classifier models for differentiating pancreatic adenocarcinoma from surrounding healthy pancreatic tissue based on radiomic analysis of magnetic resonance (MR) images. Methods: We observed T2W-FS and ADC images obtained by 1.5T-MR of 87 patients with histologically proven pancreatic adenocarcinoma for training and validation purposes and then tested the most accurate predictive models that were obtained on another group of 58 patients. The tumor and surrounding pancreatic tissue were segmented on three consecutive slices, with the largest area of interest (ROI) of tumor marked using MaZda v4.6 software. This resulted in a total of 261 ROIs for each of the observed tissue classes in the training–validation group and 174 ROIs in the testing group. The software extracted a total of 304 radiomic features for each ROI, divided into six categories. The analysis was conducted through six different classifier models with six different feature reduction methods and five-fold subject-wise cross-validation. Results: In-depth analysis shows that the best results were obtained with the Random Forest (RF) classifier with feature reduction based on the Mutual Information score (all nine features are from the co-occurrence matrix): an accuracy of 0.94/0.98, sensitivity of 0.94/0.98, specificity of 0.94/0.98, and F1-score of 0.94/0.98 were achieved for the T2W-FS/ADC images from the validation group, retrospectively. In the testing group, an accuracy of 0.69/0.81, sensitivity of 0.86/0.82, specificity of 0.52/0.70, and F1-score of 0.74/0.83 were achieved for the T2W-FS/ADC images, retrospectively. Conclusions: The machine learning approach using radiomics features extracted from T2W-FS and ADC achieved a relatively high sensitivity in the differentiation of pancreatic adenocarcinoma from healthy pancreatic tissue, which could be especially applicable for screening purposes. © 2025 by the authors.

Objectives: The purpose of this study was to describe the severity of the radiographic findings of COVID-19 over time and to assess their correlation with the duration of symptoms prior to admission, CT scores, and disease severity. Methods: A retrospective analysis of patients with COVID-19 confirmed by reverse transcription polymerase chain reaction (RT-PCR) and CXR who were admitted at the university hospital was performed between March 25 and 30 April 2020. Baseline and serial CXRs were reviewed, along with onset and disease time courses. Correlations between CXR scores and CT scores, durations of symptoms and disease severity were evaluated; and also between regression times and disease severity. Results: Of 208 total patients, there were 33 mild (15.9%), 103 moderate (49.5%), and 72 severe-critical (34.6%) cases. The most frequent symptoms were fever, cough, fatigue, and dyspnea. Dyspnea was more frequent in patients with severe and critical disease (p < 0.001). The duration of symptoms experienced prior to admission was longer in patients with severe and critical disease than in moderate cases (p < 0.05). Abnormalities on CXR were present on admission in 83.2% patients, with reticulations being the most common finding. CXR scores correlated with duration of symptoms prior to admission and CT scores (p < 0.05 and p < 0.001, respectively). The median radiographic score of the severe-critical-type group was significantly higher than the moderate type (p < 0.001) and regression time correlated with disease severity (p < 0.001). Conclusion: Our study showed that despite the limitations, CXR remains a very important tool for diagnosing and managing patients with COVID-19. © The Author(s) 2021.

Objectives: The purpose of this study was to describe the severity of the radiographic findings of COVID-19 over time and to assess their correlation with the duration of symptoms prior to admission, CT scores, and disease severity. Methods: A retrospective analysis of patients with COVID-19 confirmed by reverse transcription polymerase chain reaction (RT-PCR) and CXR who were admitted at the university hospital was performed between March 25 and 30 April 2020. Baseline and serial CXRs were reviewed, along with onset and disease time courses. Correlations between CXR scores and CT scores, durations of symptoms and disease severity were evaluated; and also between regression times and disease severity. Results: Of 208 total patients, there were 33 mild (15.9%), 103 moderate (49.5%), and 72 severe-critical (34.6%) cases. The most frequent symptoms were fever, cough, fatigue, and dyspnea. Dyspnea was more frequent in patients with severe and critical disease (p < 0.001). The duration of symptoms experienced prior to admission was longer in patients with severe and critical disease than in moderate cases (p < 0.05). Abnormalities on CXR were present on admission in 83.2% patients, with reticulations being the most common finding. CXR scores correlated with duration of symptoms prior to admission and CT scores (p < 0.05 and p < 0.001, respectively). The median radiographic score of the severe-critical-type group was significantly higher than the moderate type (p < 0.001) and regression time correlated with disease severity (p < 0.001). Conclusion: Our study showed that despite the limitations, CXR remains a very important tool for diagnosing and managing patients with COVID-19. © The Author(s) 2021.

Objective: To demonstrate the diagnostic challenge of tracheal hamartoma in a patient with chronic obstructive pulmonary disease (COPD). Clinical Presentation and Intervention: A 65-year-old man with COPD was admitted with sudden onset of asphyxia attacks related to the position of his body. Computerized tomography (CT) of the neck showed a soft tissue mass with calcification, which occluded more than two-thirds of the proximal part of the trachea. The tumor was completely removed, and histopathology confirmed hamartoma. Conclusion: This case report showed the detection of a primary tracheal tumor on CT. This finding enabled the correct diagnosis and led to appropriate treatment in the form of surgery. © 2016 S. Karger AG, Basel.

[No abstract available]

Objective. Increasing use of magnetic resonance imaging (MRI) in acute knee trauma has led to increased awareness of bone bruises (BB). Post-traumatic BB is the only predictor of early osteoarthritis. The aim of our research is to determine the way in which it is possible to observe and precisely determine the localization, size, and number of BBs, by the correct selection of MR imaging sequences. Methods. MR examinations of the knees performed during 2012-2013 in 100 subjects with an acute knee injury sustained during sports were retrospectively analyzed from the personal archive. All examinations were done in the first month after the trauma. Examinations were performed on an open-type MRI with a power of 0.3T. A standard protocol was used with sequences of spin echo T1-weighted in the sagittal plane, fat suppression T2-weighted in the sagittal, coronal, and axial planes, and Short Tau Inversion Recovery (STIR) in the coronal plane. The presence and arrangement of BB were analyzed. The difference in the frequency of BB findings in STIR compared to the T1W sequence and the assessment of the visibility of BB in both sequences were analyzed. Results. BB findings were observed in 51% of subjects. BB is, after effusion, the second, most frequent pathological finding on MR examination in acute knee trauma. A significant statistical difference was determined by the Wilcoxon test (Z=-5.067, p=0.000) between the T1W and STIR sequence, which indicates that the STIR sequence is convincingly more sensitive than the T1W sequence for the diagnosis of BB. Conclusion. It was concluded that STIR sequence provides better visibility of BB compared to T1W sequence. © 2023, Serbian Medical Society. All rights reserved.

Gastrointestinal metastases from invasive lobular breast cancer are uncommon with the stomach and small intestines being the most common metastatic sites. Peritoneal and rectal metastases are very rare and only rarely occur as the frst manifestation of disease. We herein report the case of a 47-year-old woman who presented with abdominal carcinomatosis as a frst sign of invasive lobular breast carcinoma (ILC). Identifying the most important immunohistochemical markers for ILC: gross cystic disease fuid protein 15, estrogen and progesterone receptors enabled a correct diagnosis. After a six year disease-free period, relapse occurred with severe obstruction due to rectal metastasis from lob-ular breast carcinoma. Since there was no widespread metas-tatic disease, surgery with concomitant hormonal therapy was performed. copy; 2011 Korean Breast Cancer Society.

Gastrointestinal metastases from invasive lobular breast cancer are uncommon with the stomach and small intestines being the most common metastatic sites. Peritoneal and rectal metastases are very rare and only rarely occur as the frst manifestation of disease. We herein report the case of a 47-year-old woman who presented with abdominal carcinomatosis as a frst sign of invasive lobular breast carcinoma (ILC). Identifying the most important immunohistochemical markers for ILC: gross cystic disease fuid protein 15, estrogen and progesterone receptors enabled a correct diagnosis. After a six year disease-free period, relapse occurred with severe obstruction due to rectal metastasis from lob-ular breast carcinoma. Since there was no widespread metas-tatic disease, surgery with concomitant hormonal therapy was performed. copy; 2011 Korean Breast Cancer Society.

Purpose. The optimal operative treatment for severe necrotizing pancreatitis (SNP) still remains controversial. This article describes the operative approach with a planned staged necrosectomy using the "zipper" technique. Methods. Between 1996 and 2000, 35 patients with SNP were treated with this approach. The patient demographics, etiology and severity of SNP, hospital course, and outcome were recorded and comparisons of several parameters were made between the patients who survived and those who died. Results. Hospital mortality was 34%. A total of 16 fistulae developed in 11 patients (31%), recurrent intra-abdominal abscesses in 4 (11%), and hemorrhaging in 5 (14%). The patients who died compared with those who survived had a higher Acute Physiology and Chronic Health Evaluation (APACHE)-II score on admission (14.5 vs 9, P < 0.001), extrapancreatic extension of necrosis more often (100% vs 65%, P = 0.02), and developed postoperative hemorrhaging more often (33% vs 4%, P = 0.038). A multivariate logistic analysis revealed an APACHE-II score of >13 on admission (P = 0.018) and an extension of necrosis behind both paracolic gutters (P < 0.001) to both be prognostic factors for mortality. Conclusions. Severe necrotizing pancreatitis still carries significant morbidity and mortality. This surgical approach facilitates the removal of all devitalized tissue and seems to decrease the incidence of recurrent intra-abdominal infection requiring reoperation. An APACHE-II score of ≥13 and an extension of necrosis behind both paracolic gutters was thus found to signify a worse outcome. © Springer-Verlag 2005.

Background: The objective of this study is to determine the morphological computed tomography features of the tumor and texture analysis parameters, which may be a useful diagnostic tool for the preoperative prediction of high-risk gastrointestinal stromal tumors (HR GISTs). Methods: This is a prospective cohort study that was carried out in the period from 2019 to 2022. The study included 79 patients who underwent CT examination, texture analysis, surgical resection of a lesion that was suspicious for GIST as well as pathohistological and immunohistochemical analysis. Results: Textural analysis pointed out min norm (p = 0.032) as a histogram parameter that significantly differed between HR and LR GISTs, while min norm (p = 0.007), skewness (p = 0.035) and kurtosis (p = 0.003) showed significant differences between high-grade and low-grade tumors. Univariate regression analysis identified tumor diameter, margin appearance, growth pattern, lesion shape, structure, mucosal continuity, enlarged peri- and intra-tumoral feeding or draining vessel (EFDV) and max norm as significant predictive factors for HR GISTs. Interrupted mucosa (p < 0.001) and presence of EFDV (p < 0.001) were obtained by multivariate regression analysis as independent predictive factors of high-risk GISTs with an AUC of 0.878 (CI: 0.797–0.959), sensitivity of 94%, specificity of 77% and accuracy of 88%. Conclusion: This result shows that morphological CT features of GIST are of great importance in the prediction of non-invasive preoperative metastatic risk. The incorporation of texture analysis into basic imaging protocols may further improve the preoperative assessment of risk stratification. © 2023 by the authors.

Background: The objective of this study is to determine the morphological computed tomography features of the tumor and texture analysis parameters, which may be a useful diagnostic tool for the preoperative prediction of high-risk gastrointestinal stromal tumors (HR GISTs). Methods: This is a prospective cohort study that was carried out in the period from 2019 to 2022. The study included 79 patients who underwent CT examination, texture analysis, surgical resection of a lesion that was suspicious for GIST as well as pathohistological and immunohistochemical analysis. Results: Textural analysis pointed out min norm (p = 0.032) as a histogram parameter that significantly differed between HR and LR GISTs, while min norm (p = 0.007), skewness (p = 0.035) and kurtosis (p = 0.003) showed significant differences between high-grade and low-grade tumors. Univariate regression analysis identified tumor diameter, margin appearance, growth pattern, lesion shape, structure, mucosal continuity, enlarged peri- and intra-tumoral feeding or draining vessel (EFDV) and max norm as significant predictive factors for HR GISTs. Interrupted mucosa (p < 0.001) and presence of EFDV (p < 0.001) were obtained by multivariate regression analysis as independent predictive factors of high-risk GISTs with an AUC of 0.878 (CI: 0.797–0.959), sensitivity of 94%, specificity of 77% and accuracy of 88%. Conclusion: This result shows that morphological CT features of GIST are of great importance in the prediction of non-invasive preoperative metastatic risk. The incorporation of texture analysis into basic imaging protocols may further improve the preoperative assessment of risk stratification. © 2023 by the authors.

Hepatocellular carcinoma (HCC) is one of the major malignant diseases worldwide, charac-terized by growing incidence and high mortality rates despite apparent improvements in surveillance programs, diagnostic and treatment procedures, molecular therapies, and numerous research initia-tives. Most HCCs occur in patients with liver cirrhosis, and the competing mortality risks from the tumor and the cirrhosis should be considered. Presently, previously identified risk factors, such as hepatitis virus infection, hepatic inflammation and fibrosis, and metabolic syndrome, may be used as chemoprevention targets. The application of precision medicine for HCC management challenges the one-size-fits-all concept; moreover, patients should no longer be treated entirely according to the histology of their tumor but based on molecular targets specific to their tumor biology. Next-generation sequencing emphasizes HCC molecular heterogeneity and aids our comprehension of possible vulnerabilities that can be exploited. Moreover, genetic sequencing as part of a precision medicine concept may work as a promising tool for postoperative cancer monitoring. The use of genetic and epigenetic markers to identify therapeutic vulnerability could change the diagnosis and treatment of HCC, which so far was based on Barcelona clinic liver cancer (BCLC) staging. In daily clinical practice, the shift from a stage-oriented to a therapeutic-oriented approach is needed to direct the choice of HCC treatment toward the potentially most effective option on an individual basis. The important factor in precision medicine is the promotion of patient management based on the individual approach, knowing that the final decision must be approved by a multidisciplinary expert team. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Background and Objectives: Aneurysmal subarachnoid hemorrhage (ASAH) is defined as bleeding in the subarachnoid space caused by the rupture of a cerebral aneurysm. About 11% of people who develop ASAH die before receiving medical treatment, and 40% of patients die within four weeks of being admitted to hospital. There are limited data on single-center experiences analyzing intrahospital mortality in ASAH patients treated with an endovascular approach. Given that, we wanted to share our experience and explore the risk factors that influence intrahospital mortality in patients with ruptured intracranial aneurysms treated with endovascular coil embolization. Materials and Methods: Our study was designed as a clinical, observational, retrospective cross-sectional study. It was performed at the Department for Radiology, University Clinical Center Kragujevac in Kragujevac, Serbia. The study inclusion criteria were ≥18 years, admitted within 24 h of symptoms onset, acute SAH diagnosed on CT, aneurysm on DSA, and treated by endovascular coil embolization from January 2014 to December 2018 at our institution. Results: A total of 66 patients were included in the study—48 (72.7%) women and 18 (27.3%) men, and 19.7% of the patients died during hospitalization. After adjustment, the following factors were associated with in-hospital mortality: a delayed ischemic neurological deficit, the presence of blood in the fourth cerebral ventricle, and an elevated urea value after endovascular intervention, increasing the chances of mortality by 16.3, 12, and 12.6 times. Conclusions: Delayed cerebral ischemia and intraventricular hemorrhage on initial head CT scan are strong predictors of intrahospital mortality in ASAH patients. Also, it is important to monitor kidney function and urea levels in ASAH patients, considering that elevated urea values after endovascular aneurysm embolization have been shown to be a significant risk factor for intrahospital mortality. © 2024 by the authors.

Background: Effective biliary tree decompression plays a central role in the palliation of malignant biliary obstruction (MBO). When endoscopic drainage is unfeasible or unsuccessful, percutaneous transhepatic biliary drainage (PTBD) is the method of choice and preferred treatment approach in advanced hilar MBO. The prognostic nutritional index (PNI) reflects the patient’s immunonutritional status, while the neutrophil to lymphocyte ratio (NLR) reflects the patient’s inflammation status. The aim of the present study was to evaluate the prognostic value of preprocedural PNI and NLR on short-term survival in the advanced stage MBO population threatened with PTBD and to characterize the differences in immunonutritional and inflammatory status between 60-day survivors and non-survivors, as well as analyze other variables influencing short-term survival. Methods: This single-center retrospective study was conducted on patients undergoing palliative PTBD caused by MBO as a definitive therapeutic treatment between March 2020 and February 2022. After the procedure, patients were followed until the end of August 2022. Results: A total of 136 patients with malignant biliary obstruction were included in the study. Based on receiver operating characteristic (ROC) curve analysis, optimal cut off-values for NLR (3) and PNI (36.7) were determined. In univariate regression analysis, age, absolute neutrophil count, albumin level, NLR ≤ 3, and PNI ≥ 36.7 were significant predictors of 60-day survival. Level of obstruction and PNI ≥ 36.7 were statistically significant independent predictors of 60-day survival in a multivariate regression model. Using PNI ≥ 36.7 as a significant coefficient from the multivariate regression model with the addition of NLR ≤ 3 from univariate analysis, a 60-day survival score was developed. Conclusions: PNI and NLR are easy to calculate from routine blood analysis, which is regularly conducted for cancer patients. As such, they represent easily available, highly reproducible, and inexpensive tests capable of expressing the severity of systemic inflammatory responses in patients with cancer. Our study highlights that preprocedural PNI and NLR values provide predictors of short-term survival in patients with MBO treated with palliative PTBD. In addition, the proposed 60-day survival score can contribute to better selection of future candidates for PTBD and recognition of high-risk patients with expected poor outcomes. © 2022 by the authors.

Objective: The aim was to demonstrate a diagnostic challenge of sclerosing mesenteritis initially considered as liposarcoma. Clinical Presentation and Intervention: A 45-year-old man was admitted with a painful abdominal mass. Abdominal computed tomography demonstrated a well- demarcated tumor in his left hemiabdomen, with a large fat component and areas of soft tissue attenuation suggestive of liposarcoma. Intraoperative findings showed a tumor arising from the greater omentum. The tumor was completely removed, and histopathology confirmed a pseudotumorous type of sclerosing mesenteritis with dominant mesenteric lipodystrophy. Conclusion: This case showed that a pseudotumorous type of sclerosing mesenteritis should be considered in the differential diagnosis of the mesenteric tumors. © 2015 S. Karger AG, Basel.

[Figure not available: see fulltext.] © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

[Figure not available: see fulltext.] © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

[No abstract available]