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Dive into the research topics where Emina Talakic is active.

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Featured researches published by Emina Talakic.


European Journal of Radiology | 2014

The impact of iterative reconstruction on image quality and radiation dose in thoracic and abdominal CT.

Peter I. Kalmar; Franz Quehenberger; Jürgen Steiner; Andre Lutfi; Dennis Bohlsen; Emina Talakic; Eva Hassler; Helmut Schöllnast

PURPOSE To compare the image quality and radiation dose between iterative reconstruction (IR) and standard filtered back projection (FBP) in CT of the chest and abdomen. MATERIALS AND METHODS Thoracic CT was performed in 50 patients (38 male, 12 female; mean age, 51 ± 23 yrs; range, 7-85 yrs) and abdominal CT was performed in 50 patients (36 male, 14 female; mean age, 62 ± 13 yrs; range, 20-85 yrs), using IR as well as FBP for image reconstruction. Image noise was quantitatively assessed measuring standard deviation of Hounsfield Units (HU) in defined regions of interest in subcutaneous tissue. Scan length and Computed Tomography Dose Index (CTDI) were documented. Scan length, image noise, and CTDI of both reconstruction techniques were compared by using paired tests according to the nature of variables (McNemar test or Student t test). Overall subjective image quality and subjective image noise were compared. RESULTS There was no significant difference between the protocols in terms of mean scan length (p>0.05). Image noise was statistically significantly higher with IR, although the difference was clinically insignificant (13.3 ± 3.0 HU and 13.6 ± 3.0 HU for thoracic CT and 11.5 ± 3.1 HU and 11.7 ± 3.0 HU for abdominal CT, p<0.05). There was no significant difference in overall subjective image quality and subjective image noise. The radiation dose was significantly lower with IR. Volume-weighted CTDI decreased by 64% (6.2 ± 2.5 mGy versus 17.1 ± 9.5 mGy, p<0.001) for thoracic CT and by 58% (7.8 ± 4.6 mGy versus 18.5 ± 8.6 mGy, p<0.001) for abdominal CT. CONCLUSIONS Our study shows that in thoracic and abdominal CT with IR, there is no clinically significant impact on image quality, yet a significant radiation dose reduction compared to FBP.


European Journal of Radiology | 2014

Gd-EOB-DTPA enhanced MRI of the liver: correlation of relative hepatic enhancement, relative renal enhancement, and liver to kidneys enhancement ratio with serum hepatic enzyme levels and eGFR.

Emina Talakic; Jürgen Steiner; Peter I. Kalmar; Andre Lutfi; Franz Quehenberger; Ursula Reiter; Michael Fuchsjäger; Helmut Schöllnast

OBJECTIVES To assess the correlation of relative hepatic enhancement (RHE), relative renal enhancement (RRE) and liver to kidneys enhancement ratio (LKR) with serum hepatic enzyme levels and eGFR in Gd-EOB-DTPA enhanced MRI of the liver and to assess threshold levels for predicting enhancement of the liver parenchyma. METHODS Data of 75 patients who underwent Gd-EOB-DTPA enhanced MRI of the liver were collected. Images were obtained before contrast injection, during the early arterial phase, late arterial phase, venous phase, delayed phase, and hepatobiliary phase which was 20 min after Gd-EOB-DTPA administration. Signal intensity of the liver and the kidneys in all phases was defined using region-of-interest measurements for relative enhancement calculation. Serum hepatic enzyme levels and eGFR were available in all patients. Spearman correlation test was used to test the correlation of RHE, RRE and LKR with serum hepatic enzyme levels and eGFR. RESULTS In the hepatobiliary phase all serum hepatic enzymes were significantly correlated with RHE; total bilirubin (TBIL) and cholin esterase (CHE) showed strongest correlations. TBIL and CHE were significantly correlated with RRE in the arterial phases. TBIL and CHE were significantly correlated with LKR in the arterial phase and hepatobiliary phase. eGFR showed no correlation. CONCLUSIONS In Gd-EOB-DTPA enhanced MRI, TBIL and CHE levels may predict RHE, RRE and LKR.


Academic Radiology | 2010

CT-Guided Biopsy of Lesions of the Lung, Liver, Pancreas or of Enlarged Lymph Nodes: Value of Additional Fine Needle Aspiration (FNA) to Core Needle Biopsy (CNB) in an Offsite Pathologist Setting

Helmut Schoellnast; Gerlinde Komatz; Helmut Bisail; Emina Talakic; Martin Fauster; Thomas Ehammer; Franz Quehenberger; Gottfried Schaffler

RATIONALE AND OBJECTIVES To assess the value of additional fine needle aspiration (FNA) to core needle biopsy (CNB) in computed tomography-guided biopsy of lesions of the lung, liver, pancreas, or of enlarged lymph nodes in an offsite cytopathologist setting. MATERIALS AND METHODS This retrospective Health Insurance Portability and Accountability Act-compliant study was approved by the Institutional Review Board (IRB); informed consent (IC) was waived. Data of 377 patients who underwent computed tomography-guided FNA and CNB of lesions of the lung, liver, pancreas, or enlarged lymph nodes were enrolled. An onsite cytopathologist was not available. Sensitivity and specificity were calculated for FNA, CNB, and combined FNA/CNB. For the purpose of our study, positive diagnoses from CNB specimens or subsequent biopsy or surgical resection specimens or clinical follow-up data were considered as the standard of reference. RESULTS CNB yielded a significantly higher sensitivity than FNA in all sites, except the pancreas, where the difference did not reach statistical significance. Additional FNA to CNB did not significantly increase the sensitivity. Specificity did not significantly differ between FNA, CNB, and combined FNA/CNB in all sites. Malignancies of 1.7% were detected only with FNA, without evidence of malignancy in CNB; for the remaining malignancies, CNB was positive or indeterminate. CONCLUSION Additional FNA to CNB without an onsite cytopathologist does not yield higher sensitivity or specificity compared to CNB alone.


Medical Image Analysis | 2016

Automated integer programming based separation of arteries and veins from thoracic CT images

Christian Payer; Michael Pienn; Zoltán Bálint; Alexander Shekhovtsov; Emina Talakic; Eszter Nagy; Andrea Olschewski; Horst Olschewski; Martin Urschler

Automated computer-aided analysis of lung vessels has shown to yield promising results for non-invasive diagnosis of lung diseases. To detect vascular changes which affect pulmonary arteries and veins differently, both compartments need to be identified. We present a novel, fully automatic method that separates arteries and veins in thoracic computed tomography images, by combining local as well as global properties of pulmonary vessels. We split the problem into two parts: the extraction of multiple distinct vessel subtrees, and their subsequent labeling into arteries and veins. Subtree extraction is performed with an integer program (IP), based on local vessel geometry. As naively solving this IP is time-consuming, we show how to drastically reduce computational effort by reformulating it as a Markov Random Field. Afterwards, each subtree is labeled as either arterial or venous by a second IP, using two anatomical properties of pulmonary vessels: the uniform distribution of arteries and veins, and the parallel configuration and close proximity of arteries and bronchi. We evaluate algorithm performance by comparing the results with 25 voxel-based manual reference segmentations. On this dataset, we show good performance of the subtree extraction, consisting of very few non-vascular structures (median value: 0.9%) and merged subtrees (median value: 0.6%). The resulting separation of arteries and veins achieves a median voxel-based overlap of 96.3% with the manual reference segmentations, outperforming a state-of-the-art interactive method. In conclusion, our novel approach provides an opportunity to become an integral part of computer aided pulmonary diagnosis, where artery/vein separation is important.


European Journal of Radiology | 2016

First pass dual input volume CT-perfusion of lung lesions: The influence of the CT- value range settings on the perfusion values of benign and malignant entities

Dennis Bohlsen; Emina Talakic; Gerald A. Fritz; Franz Quehenberger; Manfred Tillich; Helmut Schoellnast

OBJECTIVE To assess the influence of the lower threshold for segmentation of the volume of interest on the perfusion values in first-pass dual input volume CT-perfusion of lung lesions. MATERIALS AND METHODS Dual input maximum slope volume CT-perfusion was performed in 48 patients (mean age±standard deviation [SD], 68±10years; range, 46-87 years) who underwent subsequent CT-guided biopsy to evaluate a lung lesion. Using commercial perfusion software, a lower and upper threshold was set for determination of the CT-value range, which again determined the volume of interest for perfusion calculation. The pulmonary arterial flow (PAF), bronchial arterial flow (BAF), and perfusion index (PI; PAF/(PAF+BAF)) were calculated at following pre contrast CT value range settings: -80 to 150HU (setting 1), -200 to 150HU (setting 2), -300 to 150HU (setting 3), and -500 to 150HU (setting 4). Perfusion parameters were compared between benign (n, 15) and malignant (n, 33) lesions for each setting. Intraobserver- and interobserver reliability were calculated for setting 4. RESULTS Median PAF was significantly higher in malignant lesions than in benign lesions for all settings (53-96 versus 29-62mL/min/100mL, P<0.05). There was no significant difference in BAF between malignant and benign lesions. Median PAF of all lesions was significantly influenced by the CT value range setting (P<0.05), whereas the values increased from setting 1 to 4. Intraobserver analysis as well as interobserver analysis of PAF at setting 4 showed excellent reliability (Cronbachs alpha 0.98 and 0.95, respectively, P<0.01). CONCLUSION PAF derived from first-pass dual-input maximum slope volume CT perfusion is statistically significantly higher in malignant than in benign lesion, whereas the measurements are influenced by the lower threshold of the CT value range setting. This has to be considered when using cutoff values provided in the literature for differentiation between benign and malignant lung lesions.


Journal of Computer Assisted Tomography | 2017

Computed Tomography Perfusion Following Transarterial Chemoembolization of Hepatocellular Carcinoma: A Feasibility Study in the Early Period

Thomas Wimmer; Juergen Steiner; Emina Talakic; Rudolf E. Stauber; Franz Quehenberger; Rupert H. Portugaller; Helmut Schoellnast

Objectives The aim of this study was to assess the feasibility of computed tomography (CT) perfusion in early follow-up after transarterial chemoembolization (TACE) of hepatocellular carcinoma (HCC). Methods Fifteen patients with a total of 16 HCC who were referred to our institution for TACE were included in the study. Computed tomography perfusion was performed within 1 to 3 days before and 4 to 7 days after TACE. Multiphase contrast-enhanced CT was performed 35 (SD, 20) days after TACE. Hepatic arterial blood flow and portal venous blood flow, as well as the perfusion index (PI), were calculated for each HCC using the dual input maximum slope method. Visual grading of the PI and visual grading of the amount of deposition of embolic material within the HCC were performed using a 6-step scale. Differences in perfusion before and after TACE and correlation of perfusion before TACE with the amount of embolization material depositions 1 week and 1 month after TACE were tested. Results No statistically significant correlation was found between pre-TACE perfusion parameters and the amount of embolization material deposition in the post-TACE studies. There was no statistically significant difference between pre- and post-TACE arterial blood flow and portal venous blood flow, whereas PI was significantly lower after TACE. Congruently, visual grading of PI was statistically significantly lower after TACE. There was no statistically significant difference in quantitative pre-TACE and post-TACE PI between tumors, which showed hypervascularization in the multiphase follow-up CT and tumors that did not show hypervascularization. However, tumors that showed hypervascularization in the multiphase follow-up CT had significantly higher visual grading of PI after TACE than tumors that did not show hypervascularization. Conclusions Our findings indicate that visual interpretation of the PI of HCC derived from dual-input maximum slope CT perfusion may be an early predictor of response to TACE.


Case Reports in Hepatology | 2013

Pleuro-Pulmonary Nocardiosis as Opportunistic Infection in a Patient with Chronic Hepatitis C under Combination Treatment with Pegylated Interferon, Ribavirin, and Boceprevir

Csilla Putz-Bankuti; Harald H. Kessler; Thomas Valentin; Eva Leitner; Emina Talakic; Helmut Schoellnast; Peter Fickert; Guenter J. Krejs; Rudolf E. Stauber

Nocardiosis is an infrequent but serious pulmonary infection caused by Gram-positive aerobic actinomycetes. In this paper, we report on a 48-year-old patient with pleuropulmonary nocardiosis and cirrhosis due to chronic hepatitis C virus infection treated with triple antiviral treatment complicated by prolonged neutropenia.


European Radiology | 2017

CT perfusion imaging of the liver and the spleen in patients with cirrhosis: Is there a correlation between perfusion and portal venous hypertension?

Emina Talakic; S. Schaffellner; Daniela Kniepeiss; Helmut Mueller; Rudolf E. Stauber; Franz Quehenberger; Helmut Schoellnast


European Radiology | 2016

European Guidelines for AP/PA chest X-rays: routinely satisfiable in a paediatric radiology division?

Sebastian Tschauner; Robert Marterer; Michael Gübitz; Peter I. Kalmar; Emina Talakic; Sabine Weissensteiner; Erich Sorantin


Wiener Klinische Wochenschrift | 2016

Clinical-Pathological Conference Series from the Medical University of Graz : Case No 154: 32-year-old computer software engineer with nodular mass in the liver.

Elisabeth Fabian; Bernhard Haas; Patrizia Kump; Rainer W. Lipp; Peter Kornprat; Andre Lutfi; Emina Talakic; Michael Fuchsjäger; Walter Spindelboeck; Carolin Lackner; Gernot Zollner; Guenter J. Krejs

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Rudolf E. Stauber

Medical University of Graz

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Andre Lutfi

Medical University of Graz

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Helmut Schoellnast

Memorial Sloan Kettering Cancer Center

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Helmut Schoellnast

Memorial Sloan Kettering Cancer Center

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Dennis Bohlsen

Medical University of Graz

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Eva Leitner

Medical University of Graz

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