Browsing by Author "Djuric-Stefanovic, Aleksandra (16021199600)"

Aggressive fibromatosis is a rare type of intra-abdominal desmoid tumour that usually involves the small bowel mesentery. It is a locally-invasive lesion, with a high rate of recurrence, but without metastatic potential. Aggressive fibromatosis is seen more often in young female patients. This case report presents the radiological, intraoperative and histopathological findings from a 37-year-old female patient that presented with epigastric pain and a palpable mass in the right hemiabdomen. Histological and immunohistochemical examinations of the resected tumour, including positive staining for beta-catenin, confirmed a postoperative diagnosis of desmoid type fibromatosis. This specific case showed that desmoid type fibromatosis of the colon can mimic gastrointestinal stromal tumours (GIST) based on its clinical presentation, computed tomography and magnetic resonance imaging findings. Differential diagnosis between desmoid type fibromatosis and GIST is clinically very important due to the different treatments and follow-up protocols that are implemented for these lesions. © The Author(s) 2021.

Aggressive fibromatosis is a rare type of intra-abdominal desmoid tumour that usually involves the small bowel mesentery. It is a locally-invasive lesion, with a high rate of recurrence, but without metastatic potential. Aggressive fibromatosis is seen more often in young female patients. This case report presents the radiological, intraoperative and histopathological findings from a 37-year-old female patient that presented with epigastric pain and a palpable mass in the right hemiabdomen. Histological and immunohistochemical examinations of the resected tumour, including positive staining for beta-catenin, confirmed a postoperative diagnosis of desmoid type fibromatosis. This specific case showed that desmoid type fibromatosis of the colon can mimic gastrointestinal stromal tumours (GIST) based on its clinical presentation, computed tomography and magnetic resonance imaging findings. Differential diagnosis between desmoid type fibromatosis and GIST is clinically very important due to the different treatments and follow-up protocols that are implemented for these lesions. © The Author(s) 2021.

Purpose: To evaluate the accuracy of the multidetector computed tomography (MDCT) in the response evaluation of the esophageal squamous cell carcinoma (ESCC) to neoadjuvant chemoradiotherapy (nCRT) by analyzing the thickness and post-contrast attenuation of the esophageal wall after the nCRT. Methods: Contrast-enhanced (CE)-MDCT examinations in portal venous phase of one hundred patients with locally advanced ESCC who received nCRT and underwent esophageal resection and histopathology assessment of tumor regression grade (TRG) were retrospectively analyzed by measuring the maximal thickness and mean density of the esophageal wall in the segment involved by tumor and visually searching for hyperdense foci within it. Diagnostic performance was evaluated using the ROC analysis. Results: Average attenuation of the esophageal wall had stronger diagnostic performance for predicting pathologic complete regression (pCR) (AUC = 0.994; p < 0.001) in relation to maximal esophageal wall thickness (AUC = 0.731; p < 0.001). Maximal esophageal wall thickness ≤ 9 mm and average attenuation of the esophageal wall ≤ 64 HU predicted pCR with the sensitivity, specificity, and overall accuracy of 62.5%, 77.9%, and 73%, and 96.9%, 98.5%, and 98%, respectively. Combination of both cutoff values enabled correct assessment of pCR with the 100% accuracy. Visual detection of the hyperdense focus within the esophageal wall predicted pCR with the sensitivity, specificity, and overall accuracy values of 100%, 94.1%, and 96%, respectively. Conclusion: Visual analysis and measurement of post-contrast attenuation of the esophageal wall after the nCRT can improve diagnostic accuracy of MDCT in the response evaluation of the ESCC to nCRT in comparison with measuring the esophageal wall thickness. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.

Purpose: To evaluate the accuracy of the multidetector computed tomography (MDCT) in the response evaluation of the esophageal squamous cell carcinoma (ESCC) to neoadjuvant chemoradiotherapy (nCRT) by analyzing the thickness and post-contrast attenuation of the esophageal wall after the nCRT. Methods: Contrast-enhanced (CE)-MDCT examinations in portal venous phase of one hundred patients with locally advanced ESCC who received nCRT and underwent esophageal resection and histopathology assessment of tumor regression grade (TRG) were retrospectively analyzed by measuring the maximal thickness and mean density of the esophageal wall in the segment involved by tumor and visually searching for hyperdense foci within it. Diagnostic performance was evaluated using the ROC analysis. Results: Average attenuation of the esophageal wall had stronger diagnostic performance for predicting pathologic complete regression (pCR) (AUC = 0.994; p < 0.001) in relation to maximal esophageal wall thickness (AUC = 0.731; p < 0.001). Maximal esophageal wall thickness ≤ 9 mm and average attenuation of the esophageal wall ≤ 64 HU predicted pCR with the sensitivity, specificity, and overall accuracy of 62.5%, 77.9%, and 73%, and 96.9%, 98.5%, and 98%, respectively. Combination of both cutoff values enabled correct assessment of pCR with the 100% accuracy. Visual detection of the hyperdense focus within the esophageal wall predicted pCR with the sensitivity, specificity, and overall accuracy values of 100%, 94.1%, and 96%, respectively. Conclusion: Visual analysis and measurement of post-contrast attenuation of the esophageal wall after the nCRT can improve diagnostic accuracy of MDCT in the response evaluation of the ESCC to nCRT in comparison with measuring the esophageal wall thickness. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.

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.

[No abstract available]

[No abstract available]

Idiopathic mediastinal fibrosis, also called sclerosing or fibrosing mediastinitis, is a very rare and aggressive fibroinflammatory process characterized by fibrous tissue proliferation in the mediastinal region. Herein, we present a rare case of idiopathic mediastinal fibrosis presenting with esophageal obstruction, most likely associated with immunoglobulin G (IgG4)-related disease, affecting the posterior mediastinum with intrapulmonary infiltration. Computed tomography revealed a narrowed lumen and thickened wall of the distal esophagus surrounded by a necrotic mass with infiltration into the nearby structures, suggesting a locally advanced malignant process. Positron emission tomography revealed intense accumulation of 18F-fluorodeoxyglucose, indicating an active inflammatory component, which complicates further differential diagnosis of mediastinal masses. Thoracoscopic biopsy and immunohistochemical analysis confirmed a fibroinflammatory process with perivascular lymphoid cell infiltration that was cluster of differentiation (CD)3 (++) and CD20 (++), with massive numbers of IgG4-immunoreactive plasma cells. Although a benign condition, sclerosing mediastinitis is a close mimicker of esophageal carcinoma, which cannot be differentiated by computed tomography or positron emission tomography and must be considered in a differential diagnosis. © The Author(s) 2023.

Idiopathic mediastinal fibrosis, also called sclerosing or fibrosing mediastinitis, is a very rare and aggressive fibroinflammatory process characterized by fibrous tissue proliferation in the mediastinal region. Herein, we present a rare case of idiopathic mediastinal fibrosis presenting with esophageal obstruction, most likely associated with immunoglobulin G (IgG4)-related disease, affecting the posterior mediastinum with intrapulmonary infiltration. Computed tomography revealed a narrowed lumen and thickened wall of the distal esophagus surrounded by a necrotic mass with infiltration into the nearby structures, suggesting a locally advanced malignant process. Positron emission tomography revealed intense accumulation of 18F-fluorodeoxyglucose, indicating an active inflammatory component, which complicates further differential diagnosis of mediastinal masses. Thoracoscopic biopsy and immunohistochemical analysis confirmed a fibroinflammatory process with perivascular lymphoid cell infiltration that was cluster of differentiation (CD)3 (++) and CD20 (++), with massive numbers of IgG4-immunoreactive plasma cells. Although a benign condition, sclerosing mediastinitis is a close mimicker of esophageal carcinoma, which cannot be differentiated by computed tomography or positron emission tomography and must be considered in a differential diagnosis. © The Author(s) 2023.

Purpose; To estimate whether the computed tomography (CT) perfusion imaging could be useful to predict the pathological complete response (pCR) of esophageal cancer to the neoadjuvant chemoradiotherapy (NACRT). Methods: Twenty-seven patients with the advanced squamous cell esophageal carcinoma, who were treated with concomitant CRT (CIS/5-FU/LV and 45-50 Gy total radiation dose), were re-evaluated using CT examination, which included the low-dose CT perfusion study. CT perfusion series were analysed using the deconvolution-based CT perfusion software (Perfusion 3.0, GE), and color parametric maps of the blood flow (BF), blood volume (BV), mean transit time (MTT), and permeability surface area product (PS) were displayed. All patients were operated and histo-pathological analysis of the resected esophagus considered the gold standard for pathologic complete response (pCR). Results: BF post-NACRT BVpost-NACRT and PSpost-NACRT were significantly lower, and MTTpost-NACRT significantly higher in the pCR group. Mean (±SD), or median perfusion parameter values in the pCRs (11 patients) vs non-pCRs (16 patients) were: BFpost-NACRT 21.4±5.0 VS 86.0±29 ml/min/100 g (p<0.001), BV post-NACRT 1.3 vs 3.9 ml/100 g (p<0.001), MTTpost-NACRT 5.5 vs 3.7 s (p=0.018), and PSpost-NACRT 5.9 vs 9.8 ml/min/100 g (p=0.006). ROC analysis revealed that BFpost-NACRT (AUC=1.000), BVpost-NACRT (AUC=0.932), MTTpost-NACRT (AUC=0.801), and PS^HACRT (AUC=0.844) could predict the pCR (p<0.01), while maximal esophageal wall thickness could not (AUC=0.676, p=0.126). If we set a cut-off value of BFpost-NACRT<30.0 ml/min/100 g, pCR was predicted with sensitivity and specificity of 100%. Conclusion: CT perfusion imaging enables accurate prediction of pCR of esophageal carcinoma to neoadjuvant chemoradiotherapy.

Purpose; To estimate whether the computed tomography (CT) perfusion imaging could be useful to predict the pathological complete response (pCR) of esophageal cancer to the neoadjuvant chemoradiotherapy (NACRT). Methods: Twenty-seven patients with the advanced squamous cell esophageal carcinoma, who were treated with concomitant CRT (CIS/5-FU/LV and 45-50 Gy total radiation dose), were re-evaluated using CT examination, which included the low-dose CT perfusion study. CT perfusion series were analysed using the deconvolution-based CT perfusion software (Perfusion 3.0, GE), and color parametric maps of the blood flow (BF), blood volume (BV), mean transit time (MTT), and permeability surface area product (PS) were displayed. All patients were operated and histo-pathological analysis of the resected esophagus considered the gold standard for pathologic complete response (pCR). Results: BF post-NACRT BVpost-NACRT and PSpost-NACRT were significantly lower, and MTTpost-NACRT significantly higher in the pCR group. Mean (±SD), or median perfusion parameter values in the pCRs (11 patients) vs non-pCRs (16 patients) were: BFpost-NACRT 21.4±5.0 VS 86.0±29 ml/min/100 g (p<0.001), BV post-NACRT 1.3 vs 3.9 ml/100 g (p<0.001), MTTpost-NACRT 5.5 vs 3.7 s (p=0.018), and PSpost-NACRT 5.9 vs 9.8 ml/min/100 g (p=0.006). ROC analysis revealed that BFpost-NACRT (AUC=1.000), BVpost-NACRT (AUC=0.932), MTTpost-NACRT (AUC=0.801), and PS^HACRT (AUC=0.844) could predict the pCR (p<0.01), while maximal esophageal wall thickness could not (AUC=0.676, p=0.126). If we set a cut-off value of BFpost-NACRT<30.0 ml/min/100 g, pCR was predicted with sensitivity and specificity of 100%. Conclusion: CT perfusion imaging enables accurate prediction of pCR of esophageal carcinoma to neoadjuvant chemoradiotherapy.

Objective: To present a case of gastroduodenal lipomatosis associated with familial multiple lipomatosis (FML). Clinical Presentation and Intervention: A 58-year-old male presented with FML that manifested as multiple, painless, subcutaneous lipomas on his body; his mother had subcutaneous lipoma without a diagnosis of gastroduodenal lipomatosis. His lipid profile was normal. Abdominal computed tomography showed multiple, submucosal, polypoid lesions (of uniform density) of fat in the stomach and duodenum, and a small, similar lesion in the ileum. Conclusion: This case shows that gastrointestinal lipomatosis can manifest as FML. © 2016 S. Karger AG, Basel.

[No abstract available]

[No abstract available]

Purpose: Preoperative chemoradiotherapy (CRT) is the standard treatment option in locally advanced rectal cancer. The tumor response is assessed through tumor and nodal downstaging and the tumor regression grade. Currently, there is no method to predict a tumor response to CRT. We aimed to evaluate whether p21 and p53 expressions could be a reliable predictors of pathological response to CRT. Methods: Fifty patients with locally advanced rectal cancer were treated with preoperative radiotherapy combined with mitomycin C and capecitabine. p21 and p53 immu-mohistochemical staining was performed on pretreatment biopsies and the results were compared with tumor regression according to grading systems by Dworak (TRG grades) and by Wheeler (RCRG grades). Results: Testing RCRG grades in relation to p21 expression showed statistically significant difference (p=0.021). RCRG 3 (poor response) was more frequent in the group of patients with low p21. According to Dworak, grade 4 (complete regression) was more frequent in the group of patients with positive p21 expression (p=0.032). Significant difference in p21 expression in grade 4 group compared with all other grade groups was also found (p=0.007). Patients with immune expression of p21 had significantly higher percentage of complete regression in comparison to the patients with low expression of p21. We haven’t found any correlation between p53 expression and histopathological (HP) as well as regression grades. Conclusion: According to both grading systems, our results suggest that p53 expression does not, but p21 expression does predict pathological response to preoperative CRT. © 2017 Zerbinis Publications. All rights reserved.

Purpose: Preoperative chemoradiotherapy (CRT) is the standard treatment option in locally advanced rectal cancer. The tumor response is assessed through tumor and nodal downstaging and the tumor regression grade. Currently, there is no method to predict a tumor response to CRT. We aimed to evaluate whether p21 and p53 expressions could be a reliable predictors of pathological response to CRT. Methods: Fifty patients with locally advanced rectal cancer were treated with preoperative radiotherapy combined with mitomycin C and capecitabine. p21 and p53 immu-mohistochemical staining was performed on pretreatment biopsies and the results were compared with tumor regression according to grading systems by Dworak (TRG grades) and by Wheeler (RCRG grades). Results: Testing RCRG grades in relation to p21 expression showed statistically significant difference (p=0.021). RCRG 3 (poor response) was more frequent in the group of patients with low p21. According to Dworak, grade 4 (complete regression) was more frequent in the group of patients with positive p21 expression (p=0.032). Significant difference in p21 expression in grade 4 group compared with all other grade groups was also found (p=0.007). Patients with immune expression of p21 had significantly higher percentage of complete regression in comparison to the patients with low expression of p21. We haven’t found any correlation between p53 expression and histopathological (HP) as well as regression grades. Conclusion: According to both grading systems, our results suggest that p53 expression does not, but p21 expression does predict pathological response to preoperative CRT. © 2017 Zerbinis Publications. All rights reserved.

[No abstract available]

[No abstract available]

The purpose of this study was to assess the utility of 18F-FDG PET/CT for detection of inflammation in granulomatous sites and management of patients with chronic sarcoidosis. The 3 specific aims were to assess differences between 18F-FDG PET/CT and multidetector CT (MDCT) findings, to compare 18F-FDG PET/CT results with serum levels of angiotensin-converting enzyme (ACE), and to determine whether 18F-FDG PET/CT findings are associated with the decision to change therapy. Methods: We studied 90 sarcoidosis patients (mean age ± SD, 47 ± 12 y; 32 men and 58 women) with persistent symptoms who were referred for 18F-FDG PET/CT evaluation to assess the extent of inflammation. They also underwent MDCT and measurement of serum ACE level. After the followup (12 ± 5 mo after 18F-FDG PET/CT), the clinical status and changes in therapy were analyzed. Results: 18F-FDG PET/CT detected inflammation in 74 patients (82%) (maximum standardized uptake value, 8.1 ± 3.9). MDCT was positive for sarcoidosis in 6 additional patients (80, 89%). The difference between the 2 methods was not significant (P = 0.238, McNemar test), and their agreement was fair (κ = 0.198). Although ACE levels were significantly higher in patients with positive than negative 18F-FDG PET/CT results (P = 0.002, Mann-Whitney test), 38 patients (51%) with positive 18F-FDG PET/CT results had normal ACE levels. The therapy was initiated or changed in 73 out of 90 patients (81%). Both univariate and multivariate logistic regression analyses indicated that positive 18F-FDG PET/CT results were significantly (P < 0.001) associated with changes in therapy, with no contribution from age, sex, ACE level, CT results, or previous therapy. Conclusion: Our results indicate that 18F-FDG PET/CT is a useful adjunct to other diagnostic methods for detecting active inflammatory sites in chronic sarcoidosis patients with persistent symptoms, especially those with normal ACE levels. 18F-FDG PET/CT proved advantageous for determining the spread of active disease throughout the body and influenced the decision to adjust the therapy. Copyright © 2012 by the Society of Nuclear Medicine and Molecular Imaging, Inc.