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Dive into the research topics where C. Lütgendorf-Caucig is active.

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Featured researches published by C. Lütgendorf-Caucig.


Radiotherapy and Oncology | 2011

Feasibility of CBCT-based target and normal structure delineation in prostate cancer radiotherapy: Multi-observer and image multi-modality study

C. Lütgendorf-Caucig; Irina Fotina; M. Stock; Richard Pötter; Gregor Goldner; Dietmar Georg

BACKGROUND AND PURPOSE In-room cone-beam CT (CBCT) imaging and adaptive treatment strategies are promising methods to decrease target volumes and to spare organs at risk. The aim of this work was to analyze the inter-observer contouring uncertainties of target volumes and organs at risks (oars) in localized prostate cancer radiotherapy using CBCT images. Furthermore, CBCT contouring was benchmarked against other image modalities (CT, MR) and the influence of subjective image quality perception on inter-observer variability was assessed. METHODS AND MATERIALS Eight prostate cancer patients were selected. Seven radiation oncologists contoured target volumes and oars on CT, MRI and CBCT. Volumes, coefficient of variation (COV), conformity index (cigen), and coordinates of center-of-mass (COM) were calculated for each patient and image modality. Reliability analysis was performed for the support of the reported findings. Subjective perception of image quality was assessed via a ten-scored visual analog scale (VAS). RESULTS The median volume for prostate was larger on CT compared to MRI and CBCT images. The inter-observer variation for prostate was larger on CBCT (CIgen=0.57±0.09, 0.61 reliability) compared to CT (CIgen=0.72±0.07, 0.83 reliability) and MRI (CIgen=0.66±0.12, 0.87 reliability). On all image modalities values of the intra-observer reliability coefficient (0.97 for CT, 0.99 for MR and 0.94 for CBCT) indicated high reproducibility of results. For all patients the root mean square (RMS) of the inter-observer standard deviation (σ) of the COM was largest on CBCT with σ(x)=0.4 mm, σ(y)=1.1 mm, and σ(z)=1.7 mm. The concordance in delineating OARs was much stronger than for target volumes, with average CIgen>0.70 for rectum and CIgen>0.80 for bladder. Positive correlations between CIgen and VAS score of the image quality were observed for the prostate, seminal vesicles and rectum. CONCLUSIONS Inter-observer variability for target volume delineation in prostate cancer is larger for CBCT-based contouring compared to CT and MRI. This factor of influence needs to be considered when defining safety margins for CBCT-based Adaptive Radiotherapy (ART).


Radiotherapy and Oncology | 2012

Feasibility of CBCT-based dose calculation: Comparative analysis of HU adjustment techniques

Irina Fotina; Johannes Hopfgartner; M. Stock; Thomas Steininger; C. Lütgendorf-Caucig; Dietmar Georg

BACKGROUND AND PURPOSE The aim of this work was to compare the accuracy of different HU adjustments for CBCT-based dose calculation. METHODS AND MATERIALS Dose calculation was performed on CBCT images of 30 patients. In the first two approaches phantom-based (Pha-CC) and population-based (Pop-CC) conversion curves were used. The third method (WAB) represents override of the structures with standard densities for water, air and bone. In ROI mapping approach all structures were overridden with average HUs from planning CT. All techniques were benchmarked to the Pop-CC and CT-based plans by DVH comparison and γ-index analysis. RESULTS For prostate plans, WAB and ROI mapping compared to Pop-CC showed differences in PTV D(median) below 2%. The WAB and Pha-CC methods underestimated the bladder dose in IMRT plans. In lung cases PTV coverage was underestimated by Pha-CC method by 2.3% and slightly overestimated by the WAB and ROI techniques. The use of the Pha-CC method for head-neck IMRT plans resulted in difference in PTV coverage up to 5%. Dose calculation with WAB and ROI techniques showed better agreement with pCT than conversion curve-based approaches. CONCLUSIONS Density override techniques provide an accurate alternative to the conversion curve-based methods for dose calculation on CBCT images.


Journal of Radiation Research | 2013

Performance validation of deformable image registration in the pelvic region

V. Zambrano; Hugo Furtado; Daniella Fabri; C. Lütgendorf-Caucig; Joanna Góra; M. Stock; Ramona Mayer; Wolfgang Birkfellner; Dietmar Georg

Patients undergoing radiotherapy will inevitably show anatomical changes during the course of treatment. These can be weight loss, tumour shrinkage, and organ motion or filling changes. For advanced and adaptive radiotherapy (ART) information about anatomical changes must be extracted from repeated images in order to be able to evaluate and manage these changes. Deformable image registration (DIR) is a tool that can be used to efficiently gather information about anatomical changes. The aim of the present study was to evaluate the performance of two DIR methods for automatic organ at risk (OAR) contour propagation. Datasets from ten gynaecological patients having repeated computed tomography (CT) and cone beam computed tomography (CBCT) scans were collected. Contours were delineated on the planning CT and on every repeated scan by an expert clinician. DIR using our in-house developed featurelet-based method and the iPlan® BrainLab treatment planning system software was performed with the planning CT as reference and a selection of repeated scans as the target dataset. The planning CT contours were deformed using the resulting deformation fields and compared to the manually defined contours. Dices similarity coefficients (DSCs) were calculated for each fractional patient scan structure, comparing the volume overlap using DIR with that using rigid registration only. No significant improvement in volume overlap was found after DIR as compared with rigid registration, independent of which image modality or DIR method was used. DIR needs to be further improved in order to facilitate contour propagation in the pelvic region in ART approaches.


Zeitschrift Fur Medizinische Physik | 2013

A quantitative comparison of the performance of three deformable registration algorithms in radiotherapy

Daniella Fabri; Valentina Zambrano; Amon Bhatia; Hugo Furtado; Helmar Bergmann; M. Stock; Christoph Bloch; C. Lütgendorf-Caucig; Supriyanto Ardjo Pawiro; Dietmar Georg; Wolfgang Birkfellner; Michael Figl

We present an evaluation of various non-rigid registration algorithms for the purpose of compensating interfractional motion of the target volume and organs at risk areas when acquiring CBCT image data prior to irradiation. Three different deformable registration (DR) methods were used: the Demons algorithm implemented in the iPlan Software (BrainLAB AG, Feldkirchen, Germany) and two custom-developed piecewise methods using either a Normalized Correlation or a Mutual Information metric (featureletNC and featureletMI). These methods were tested on data acquired using a novel purpose-built phantom for deformable registration and clinical CT/CBCT data of prostate and lung cancer patients. The Dice similarity coefficient (DSC) between manually drawn contours and the contours generated by a derived deformation field of the structures in question was compared to the result obtained with rigid registration (RR). For the phantom, the piecewise methods were slightly superior, the featureletNC for the intramodality and the featureletMI for the intermodality registrations. For the prostate cases in less than 50% of the images studied the DSC was improved over RR. Deformable registration methods improved the outcome over a rigid registration for lung cases and in the phantom study, but not in a significant way for the prostate study. A significantly superior deformation method could not be identified.


International Journal of Radiation Oncology Biology Physics | 2013

Is There an Advantage in Designing Adapted, Patient-Specific PTV Margins in Intensity Modulated Proton Beam Therapy for Prostate Cancer?

Joanna Góra; M. Stock; C. Lütgendorf-Caucig; Dietmar Georg

PURPOSE To investigate robust margin strategies in intensity modulated proton therapy to account for interfractional organ motion in prostate cancer. METHODS AND MATERIALS For 9 patients, one planning computed tomography (CT) scan and daily and weekly cone beam CTs (CBCTs) were acquired and coregistered. The following planning target volume (PTV) approaches were investigated: a clinical target volume (CTV) delineated on the planning CT (CTV(ct)) plus 10-mm margin (PTV(10mm)); a reduced PTV (PTV(Red)): CTV(ct) plus 5 mm in the left-right (LR) and anterior-posterior (AP) directions and 8 mm in the inferior-superior (IS) directions; and a PTV(Hull) method: the sum of CTV(ct) and CTVs from 5 CBCTs from the first week plus 3 mm in the LR and IS directions and 5 mm in the AP direction. For each approach, separate plans were calculated using a spot-scanning technique with 2 lateral fields. RESULTS Each approach achieved excellent target coverage. Differences were observed in volume receiving 98% of the prescribed dose (V(98%)) where PTV(Hull) and PTV(Red) results were superior to the PTV(10mm) concept. The PTV(Hull) approach was more robust to organ motion. The V(98%) for CTVs was 99.7%, whereas for PTV(Red) and PTV(10mm) plans, V(98%) was 98% and 96.1%, respectively. Doses to organs at risk were higher for PTV(Hull) and PTV(10mm) plans than for PTV(Red), but only differences between PTV(10mm) and PTV(Red) were significant. CONCLUSIONS In terms of organ sparing, the PTV(10mm) method was inferior but not significantly different from the PTV(Red) and PTV(Hull) approaches. PTV(Hull) was most insensitive to target motion.


Journal of Cancer Education | 2018

Attitude Towards End of Life Communication of Austrian Medical Students

Tamara Rumpold; C. Lütgendorf-Caucig; Henriette Löffler-Stastka; Sophie Roider-Schur; Richard Pötter; K. Kirchheiner

Medical students have to acquire theoretical knowledge, practical skills, and a personal attitude to meet the emerging needs of palliative care. The present study aimed to assess the personal attitude of Austrian medical students towards end of life communication (EOLC), as key part of palliative care. This cross-sectional, mono-institutional assessment invited all medical students at the Medical University of Vienna in 2015. The assessment was conducted web-based via questionnaire about attitudes towards EOLC. Additional socio-demographic and medical education-related parameters were collected. Overall, 743 medical students participated in the present report. Differences regarding the agreement or disagreement to several statements concerning the satisfaction of working with chronically ill patients, palliative care, and health care costs, as well as the extent of information about palliative disease, were found for age, gender, and academic years. The overall attitude towards EOLC in the present sample can be regarded as quite balanced. Nevertheless, a considerable number of medical students are still reluctant to inform patients about their incurable disease. Reservations towards palliative care as part of the health care system seem to exist. The influence of the curriculum as well as practical experiences seems to be important but needs further investigation.


Strahlentherapie Und Onkologie | 2012

Critical discussion of evaluation parameters for inter-observer variability in target definition for radiation therapy

Irina Fotina; C. Lütgendorf-Caucig; M. Stock; Richard Pötter; Dietmar Georg


International Journal of Radiation Oncology Biology Physics | 2012

Cone-Beam CT-Based Delineation of Stereotactic Lung Targets: The Influence of Image Modality and Target Size on Interobserver Variability

Gabriela Altorjai; Irina Fotina; C. Lütgendorf-Caucig; M. Stock; Richard Pötter; Dietmar Georg; Karin Dieckmann


Strahlentherapie Und Onkologie | 2013

Can treatment of pediatric Hodgkin’s lymphoma be improved by PET imaging and proton therapy?

B. Knäusl; C. Lütgendorf-Caucig; Johannes Hopfgartner; Karin Dieckmann; L. Kurch; Tanja Pelz; Richard Pötter; Dietmar Georg


Strahlentherapie Und Onkologie | 2012

Multicenter evaluation of different target volume delineation concepts in pediatric Hodgkin’s lymphoma

C. Lütgendorf-Caucig; Irina Fotina; E. Gallop-Evans; L. Claude; Jack Lindh; Tanja Pelz; B. Knäusl; Dietmar Georg; Richard Pötter; Karin Dieckmann

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Dietmar Georg

Medical University of Vienna

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Richard Pötter

Medical University of Vienna

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M. Stock

Medical University of Vienna

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Karin Dieckmann

Medical University of Vienna

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Irina Fotina

Medical University of Vienna

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B. Knäusl

Medical University of Vienna

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Johannes Hopfgartner

Medical University of Vienna

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K. Kirchheiner

Medical University of Vienna

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Daniella Fabri

Medical University of Vienna

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