TY - GEN A1 - Demars, Benoît O. L. A1 - Wiegleb, Gerhard A1 - Harper, David M. A1 - Bröring, Udo A1 - Brux, Holger A1 - Herr, Wolfgang T1 - Aquatic plant dynamics in lowland river networks: connectivity, management and climate change T2 - Water Y1 - 2014 UR - http://www.mdpi.com/2073-4441/6/4/868 U6 - https://doi.org/10.3390/w6040868 SN - 2073-4441 VL - 6 IS - 4 SP - 868 EP - 911 ER - TY - GEN A1 - Wiegleb, Gerhard A1 - Bröring, Udo A1 - Filetti, Mirko A1 - Brux, Holger A1 - Herr, Wolfgang T1 - Long-term dynamics of macrophyte dominance and growth form types in two northwest German lowland streams T2 - Freshwater Biology Y1 - 2014 SN - 0046-5070 VL - 59 IS - 5 SP - 1012 EP - 1023 ER - TY - GEN A1 - Wiegleb, Gerhard A1 - Herr, Wolfgang A1 - Zander, Bärbel A1 - Bröring, Udo A1 - Brux, Holger A1 - Weyer, Klaus van de T1 - Natural variation of macrophyte vegetation in lowland streams at the regional level T2 - Limnologica Y1 - 2015 UR - http://www.sciencedirect.com/science/article/pii/S007595111400084X U6 - https://doi.org/doi:10.1016/j.limno.2014.12.005 SN - 1873-5851 IS - vol. 51 SP - 53 EP - 62 ER - TY - GEN A1 - Dropco, Ivor A1 - Kaiser, Ulrich A1 - Wagner, Lola A1 - Brunner, Stefan M. A1 - Schlitt, Hans Jürgen A1 - Stroszczynski, Christian A1 - Jung, Friedrich A1 - Yi, Dong A1 - Herr, Wolfgang A1 - Jung, Ernst Michael T1 - Color mapping using ultrasound system-integrated perfusion software for evaluation of focal liver lesions: a possible first step for more independent reading T2 - Journal of Gastrointestinal and Liver Diseases N2 - Aims To assess the value of using integrated parametric ultrasound software for contrast-enhanced ultrasonography (CEUS) of liver tumors. Methods 107 patients with liver tumors were studied. CEUS were performed to detect focal lesions. Parametric images were based on continuous CINE LOOPs, from the early-arterial phase (15 s) to the portal-venous phase (1 min) generated by perfusion software. The evaluations of the parametric images and their dignity for liver lesions were performed independently by an experienced and a less-experienced investigator. Computed tomography, magnetic resonance imaging scans or histological analysis were used as references. Results High parametric image quality were obtained in all patients. Among the patients, 44% lesions were benign, 56% were malignant. The experienced investigator correctly classified 46 of 47 (98%) as benign, and 60 of 60 (100%) as malignant tumors based on the parametric images. The less-experienced investigator correctly classified 39 of 47 (83%) as benign, and 49 of 60 (82%) malignant tumors, acheaving a high statistical accuracy of 98% with this type of diagnostic. Conclusion Parametric imaging for grading the malignant degree of tumor may be a good complement to existing ultrasound techniques and was particularly helpful for improving the assessments of the less-experienced examiner. KW - CEUS KW - parametric imaging KW - dynamic vascularization KW - liver malignancies Y1 - 2023 UR - https://europepmc.org/article/med/38147619 U6 - https://doi.org/10.15403/jgld-4997 SN - 1842-1121 VL - 32 IS - 4 SP - 479 EP - 487 ER - TY - GEN A1 - Dropco, Ivor A1 - Kaiser, Ulrich A1 - Jung, Friedrich A1 - Danihel, Ľudivít A1 - Schlitt, Hans J A1 - Stroszczynski, Christian A1 - Herr, Wolfgang A1 - Brunner, Stefan M A1 - Jung, Ernst Michael T1 - Intraoperative contrast-enhanced ultrasound (CEUS) with time intensity curve (TIC) analysis for better assessment of liver tumor margins T1 - Intraoperative Kontrastmittelsonografie (CEUS) mit Time Intensitiy Curve (TIC)-Analyse zur Beurteilung von Lebertumorgrenzen T2 - RöFo : Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren N2 - AbstractThe purpose of this study was to conduct an intraoperative evaluation of focal liver lesions using time intensity curve (TIC) analysis of contrast-enhanced ultrasound (CEUS) to better assess liver tumor margins.This study included 28 patients (21 men 75%, 7 women 25%) with malignant liver lesions (cholangiocellular carcinoma (CCC), n = 9; hepatocellular carcinoma (HCC), n = 6; hepatic metastases (HepMET), n = 13). A B-mode scan, color-coded Doppler sonography, and CEUS were performed intraoperatively to analyze the focal lesions. The generated parametric images were based on continuous cine loops, acquired with a multifrequency T-probe (6–9 MHz), from the early arterial phase (0–15 seconds) to the portal venous phase (1 minute), generated by integrated perfusion software. Analyses of the CEUS loops were performed using TICs with respect to time-to-peak (TTP) and area under the curve (AUC). Perfusion analysis was performed in the center and periphery of the tumor as well as in healthy liver tissue. All tumor lesions were evaluated histopathologically to verify the diagnosis.Sufficient image quality was achieved in all cases using CEUS for TIC analysis. A comparison of all groups showed a clear difference compared with the center, margin, and healthy liver tissue in the measured parameters of TTP and AUC (p = 0.035 and p = 0.045, respectively). In detail, differences were observed in the CCC group (TTP: p = 0.025) and in the HepMET group (TTP: p = 0.009), particularly in the peripheral areas (strong arterial flooding with a rapid increase in the flooding curve), with equally clear tumor edge representation compared with healthy liver tissue, as shown by the AUC analysis (CCC AUC: p = 0.032 and HepMET AUC: p = 0.029). In patients with HCC, the perfusion pattern (starting from the center) showed the center to be more clearly distinguishable from the edge with significant TTP and AUC (p = 0.035 and p = 0.038).Intraoperative TIC analysis of malignant liver tumors is an important diagnostic tool for better highlighting liver tumor margins during surgery. Y1 - 2025 U6 - https://doi.org/10.1055/a-2600-7229 SN - 1438-9029 VL - 6 IS - 2 SP - 430 EP - 446 PB - Georg Thieme Verlag KG CY - Stuttgart ER -