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    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>479</pageFirst>
    <pageLast>487</pageLast>
    <pageNumber/>
    <edition/>
    <issue>4</issue>
    <volume>32</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
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    <completedDate>2024-01-04</completedDate>
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    <title language="eng">Color mapping using ultrasound system-integrated perfusion software for evaluation of focal liver lesions: a possible first step for more independent reading</title>
    <abstract language="eng">Aims&#13;
To assess the value of using integrated parametric ultrasound software for contrast-enhanced ultrasonography (CEUS) of liver tumors.&#13;
Methods&#13;
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.&#13;
Results&#13;
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.&#13;
Conclusion&#13;
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.</abstract>
    <parentTitle language="eng">Journal of Gastrointestinal and Liver Diseases</parentTitle>
    <identifier type="url">https://europepmc.org/article/med/38147619</identifier>
    <identifier type="doi">10.15403/jgld-4997</identifier>
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    <author>
      <firstName>Ivor</firstName>
      <lastName>Dropco</lastName>
    </author>
    <submitter>
      <firstName>Christian</firstName>
      <lastName>Schulz</lastName>
    </submitter>
    <author>
      <firstName>Ulrich</firstName>
      <lastName>Kaiser</lastName>
    </author>
    <author>
      <firstName>Lola</firstName>
      <lastName>Wagner</lastName>
    </author>
    <author>
      <firstName>Stefan M.</firstName>
      <lastName>Brunner</lastName>
    </author>
    <author>
      <firstName>Hans Jürgen</firstName>
      <lastName>Schlitt</lastName>
    </author>
    <author>
      <firstName>Christian</firstName>
      <lastName>Stroszczynski</lastName>
    </author>
    <author>
      <firstName>Friedrich</firstName>
      <lastName>Jung</lastName>
    </author>
    <author>
      <firstName>Dong</firstName>
      <lastName>Yi</lastName>
    </author>
    <author>
      <firstName>Wolfgang</firstName>
      <lastName>Herr</lastName>
    </author>
    <author>
      <firstName>Ernst Michael</firstName>
      <lastName>Jung</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>CEUS</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>parametric imaging</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>dynamic vascularization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>liver malignancies</value>
    </subject>
    <collection role="institutes" number="2110">FG Molekulare Zellbiologie</collection>
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    <publishedYear>2025</publishedYear>
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    <language>eng</language>
    <pageFirst>430</pageFirst>
    <pageLast>446</pageLast>
    <pageNumber>17</pageNumber>
    <edition/>
    <issue>2</issue>
    <volume>6</volume>
    <type>articler</type>
    <publisherName>Georg Thieme Verlag KG</publisherName>
    <publisherPlace>Stuttgart</publisherPlace>
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    <contributingCorporation/>
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    <completedDate>2026-01-19</completedDate>
    <publishedDate>--</publishedDate>
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    <title language="eng">Intraoperative contrast-enhanced ultrasound (CEUS) with time intensity curve (TIC) analysis for better assessment of liver tumor margins</title>
    <title language="deu">Intraoperative Kontrastmittelsonografie (CEUS) mit Time Intensitiy Curve (TIC)-Analyse zur Beurteilung von Lebertumorgrenzen</title>
    <abstract language="eng">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.</abstract>
    <parentTitle language="eng">RöFo : Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren</parentTitle>
    <identifier type="doi">10.1055/a-2600-7229</identifier>
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      <firstName>Hans J</firstName>
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      <firstName>Stefan M</firstName>
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