Ivor Dropco, Ulrich Kaiser, Lola Wagner, Stefan M Brunner, Hans Jürgen Schlitt, Christian Stroszcynski, Friedrich Jung, Dong Yi, Wolfgang Herr, Ernst Michael Jung
{"title":"利用超声系统集成灌注软件绘制彩色图谱,评估肝脏病灶:更多自主阅读的第一步。","authors":"Ivor Dropco, Ulrich Kaiser, Lola Wagner, Stefan M Brunner, Hans Jürgen Schlitt, Christian Stroszcynski, Friedrich Jung, Dong Yi, Wolfgang Herr, Ernst Michael Jung","doi":"10.15403/jgld-4997","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>To assess the value of using integrated parametric ultrasound software for contrast-enhanced ultrasonography (CEUS) of liver tumors.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":94081,"journal":{"name":"Journal of gastrointestinal and liver diseases : JGLD","volume":"32 4","pages":"479-487"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Color Mapping using Ultrasound System-integrated Perfusion Software for Evaluation of Focal Liver Lesions: A Possible First Step for More Independent Reading.\",\"authors\":\"Ivor Dropco, Ulrich Kaiser, Lola Wagner, Stefan M Brunner, Hans Jürgen Schlitt, Christian Stroszcynski, Friedrich Jung, Dong Yi, Wolfgang Herr, Ernst Michael Jung\",\"doi\":\"10.15403/jgld-4997\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aims: </strong>To assess the value of using integrated parametric ultrasound software for contrast-enhanced ultrasonography (CEUS) of liver tumors.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":94081,\"journal\":{\"name\":\"Journal of gastrointestinal and liver diseases : JGLD\",\"volume\":\"32 4\",\"pages\":\"479-487\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of gastrointestinal and liver diseases : JGLD\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15403/jgld-4997\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of gastrointestinal and liver diseases : JGLD","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15403/jgld-4997","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Color Mapping using Ultrasound System-integrated Perfusion Software for Evaluation of Focal Liver Lesions: A Possible First Step for More Independent Reading.
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.