Aba Harcos
Heidelberg University
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Featured researches published by Aba Harcos.
BioMed Research International | 2014
Michael Golatta; Mirjam Schweitzer-Martin; Aba Harcos; Sarah Schott; Christina Gomez; Anne Stieber; Geraldine Rauch; Christoph Domschke; Joachim Rom; Florian Schütz; Christof Sohn; Jörg Heil
Objectives. To evaluate virtual touch tissue imaging quantification (VTIQ) as a new elastography method concerning its intra- and interexaminer reliability and its ability to differentiate benign from malignant breast lesions in comparison to and in combination with ultrasound (US) B-mode breast imaging reporting and data system (BI-RADS) assessment. Materials and Methods. US and VTIQ were performed by two examiners in 103 women with 104 lesions. Intra- and interexaminer reliability of VTIQ was assessed. The area under the receiver operating curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of BIRADS, VTIQ, and combined data were compared. Results. Fifty-four of 104 lesions were malignant. Intraexaminer reliability was consistent, and interexaminer agreement showed a strong positive correlation (r = 0.93). The mean VTIQ values in malignant lesions were significantly higher than those in benign (7.73 m/s ± 1.02 versus 4.46 m/s ± 1.87; P < 0.0001). The combination of US-BIRADS with the optimal cut-off for clinical decision making of 5.18 m/s yielded a sensitivity of 98%, specificity of 82%, PPV of 86%, and NPV of 98%. The combination of BIRADS and VTIQ led to improved test validity. Conclusion. VTIQ is highly reliable and reproducible. There is a significant difference regarding the mean maximum velocity of benign and malignant lesions. Adding VTIQ to BIRADS assessment improves the specificity.
European Journal of Radiology | 2013
Michael Golatta; Dorothea Franz; Aba Harcos; H. Junkermann; Geraldine Rauch; A. Scharf; Florian Schuetz; Christof Sohn; Joerg Heil
OBJECTIVES Handheld breast ultrasound (HHUS) lacks standardization and reproducibility. The automated breast volume scanner (ABVS) could overcome this limitation. To analyze the interobserver reliability of ABVS and the agreement with HHUS, mammography and pathology is the aim of this study. METHODS All 42 study participants (=84 breasts) received an ABVS examination in addition to the conventional breast diagnostic work-up. 25 breasts (30%) showed at least one lesion. The scans were interpreted by six breast diagnostic specialists blinded to results of breast imaging and medical history. 32 lesions received histological work-up: 20 cancers were detected. We used kappa statistics to interpret agreement between examiners and diagnostic instruments. RESULTS On the basis of the Breast Imaging Reporting and Data System (BI-RADS) classification of the 84 breasts an agreement (defined as ≥4 of 6 examiners) was achieved in 63 cases (75%) (mk=0.35) and even improved when dichotomizing the interpretation in benign (BI-RADS 1, 2) and suspicious (BI-RADS 4, 5) to 98% (mk=0.52). Agreement of ABVS examination to HHUS, mammography and pathology was fair to substantial depending on the specific analysis. CONCLUSIONS The development of an ABVS seems to be a promising diagnostic method with a good interobserver reliability, as well as a comparable good test criteria as HHUS.
European Journal of Radiology | 2013
Michael Golatta; Mirjam Schweitzer-Martin; Aba Harcos; Sarah Schott; H. Junkermann; Geraldine Rauch; Christof Sohn; Jörg Heil
OBJECTIVE To evaluate normal breast tissue stiffness with virtual touch tissue imaging quantification (VTIQ) using prospectively collected data. MATERIALS AND METHODS B-mode ultrasound and VTIQ were performed in 132 breasts in 97 women. Mean values of VTIQ for parenchyma and fatty tissue were compared between those measured in healthy breasts and in the surrounding of histologically proven benign and malignant breast lesions. Moreover we reviewed VTIQ values according to breast density measured by the American College of Radiology (ACR) categories. In addition we analyzed re-test reliability of VTIQ. RESULTS In 132 breasts the mean VTIQ values in parenchyma were significantly higher than in fatty tissue (3.23 m/s ± 0.74 versus 2.5 m/s ± 0.61; p<0.0001). In healthy breasts as well as in the surrounding of a benign or malignant lesions the VTIQ values of parenchyma were similar (p=0.12). In fatty tissue, small differences between mean VTIQ values of 2.25 m/s ± 0.51, 2.52 m/s ± 0.48 and 2.65 m/s ± 0.71 (p=0.01) in the respective groups were observed. The comparison of mean VTIQ values of parenchyma and fatty tissue in more and less dense breasts (ACR 1+2 versus ACR 3+4 breasts) also yielded no statistically significant difference. The re-test reliability of VTIQ assessed with three independent measurements was moderate (interclass-correlation of 0.52 (p<0.0001)). CONCLUSION VTIQ is a reliable method for measuring the stiffness of breast tissue. We propose standard values for healthy parenchyma and fatty tissues independent of the surrounding tissue or the ACR category.
European Radiology | 2018
Benedikt Schaefgen; Joerg Heil; Richard G. Barr; Marcus Radicke; Aba Harcos; Christina Gomez; Anne Stieber; André Hennigs; Alexandra von Au; Julia Spratte; Geraldine Rauch; Joachim Rom; Florian Schütz; Christof Sohn; Michael Golatta
PurposeTo determine the feasibility of a prototype device combining 3D-automated breast ultrasound (ABVS) and digital breast tomosynthesis in a single device to detect and characterize breast lesions.MethodsIn this prospective feasibility study, the FUSION-X-US prototype was used to perform digital breast tomosynthesis and ABVS in 23 patients with an indication for tomosynthesis based on current guidelines after clinical examination and standard imaging. The ABVS and tomosynthesis images of the prototype were interpreted separately by two blinded experts. The study compares the detection and BI-RADS® scores of breast lesions using only the tomosynthesis and ABVS data from the FUSION-X-US prototype to the results of the complete diagnostic workup.ResultsImage acquisition and processing by the prototype was fast and accurate, with some limitations in ultrasound coverage and image quality. In the diagnostic workup, 29 solid lesions (23 benign, including three cases with microcalcifications, and six malignant lesions) were identified. Using the prototype, all malignant lesions were detected and classified as malignant or suspicious by both investigators.ConclusionSolid breast lesions can be localized accurately and fast by the Fusion-X-US system. Technical improvements of the ultrasound image quality and ultrasound coverage are needed to further study this new device.Key PointsThe prototype combines tomosynthesis and automated 3D-ultrasound (ABVS) in one device.It allows accurate detection of malignant lesions, directly correlating tomosynthesis and ABVS data.The diagnostic evaluation of the prototype-acquired data was interpreter-independent.The prototype provides a time-efficient and technically reliable diagnostic procedure.The combination of tomosynthesis and ABVS is a promising diagnostic approach.
Annals of Surgical Oncology | 2011
Joerg Heil; Anne Bühler; Michael Golatta; Joachim Rom; Aba Harcos; Anne Schipp; Geraldine Rauch; H. Junkermann; Christof Sohn
Archives of Gynecology and Obstetrics | 2015
Michael Golatta; Christina Baggs; Mirjam Schweitzer-Martin; Christoph Domschke; Sarah Schott; Aba Harcos; A. Scharf; H. Junkermann; Geraldine Rauch; Joachim Rom; Christof Sohn; Joerg Heil
European Journal of Cancer | 2016
Joerg Heil; Benedikt Schaefgen; Peter Sinn; Hannah Richter; Aba Harcos; Christina Gomez; Anne Stieber; André Hennigs; Geraldine Rauch; Florian Schuetz; Christof Sohn; Andreas Schneeweiss; Michael Golatta
Archives of Gynecology and Obstetrics | 2015
Michael Golatta; Aba Harcos; David Pavlista; Jan Daneš; Rafi Klein; Paola Simovich; Ines Gruber; Markus Hahn
Ultrasound in Medicine and Biology | 2017
Benedikt Schaefgen; Jörg Heil; Hannah Richter; Aba Harcos; Christina Gomez; Anne Stieber; Christof Sohn; Michael Golatta
Senologie - Zeitschrift für Mammadiagnostik und -therapie | 2018
Fabian Riedel; L. Sellner; Aba Harcos; Hans-Peter Sinn; André Hennigs; Michael Golatta; Jörg Heil; L. Mayer