Image Fusion Involving Real-Time Transabdominal or Endoscopic Ultrasound for Gastrointestinal Malignancies: Review of Current and Future Applications

التفاصيل البيبلوغرافية
العنوان: Image Fusion Involving Real-Time Transabdominal or Endoscopic Ultrasound for Gastrointestinal Malignancies: Review of Current and Future Applications
المؤلفون: Ben S. Singh, Irina M. Cazacu, Carlos A. Deza, Bastien S. Rigaud, Adrian Saftoiu, Gabriel Gruionu, Lucian Guionu, Kristy K. Brock, Eugene J. Koay, Joseph M. Herman, Manoop S. Bhutani
المصدر: Diagnostics (Basel, Switzerland). 12(12)
سنة النشر: 2022
مصطلحات موضوعية: Clinical Biochemistry
الوصف: Image fusion of CT, MRI, and PET with endoscopic ultrasound and transabdominal ultrasound can be promising for GI malignancies as it has the potential to allow for a more precise lesion characterization with higher accuracy in tumor detection, staging, and interventional/image guidance. We conducted a literature review to identify the current possibilities of real-time image fusion involving US with a focus on clinical applications in the management of GI malignancies. Liver applications have been the most extensively investigated, either in experimental or commercially available systems. Real-time US fusion imaging of the liver is gaining more acceptance as it enables further diagnosis and interventional therapy of focal liver lesions that are difficult to visualize using conventional B-mode ultrasound. Clinical studies on EUS guided image fusion, to date, are limited. EUS–CT image fusion allowed for easier navigation and profiling of the target tumor and/or surrounding anatomical structure. Image fusion techniques encompassing multiple imaging modalities appear to be feasible and have been observed to increase visualization accuracy during interventional and diagnostic applications.
تدمد: 2075-4418
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::504d8728fc81ce9b8b3b4f60a4874f35
https://pubmed.ncbi.nlm.nih.gov/36553225
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....504d8728fc81ce9b8b3b4f60a4874f35
قاعدة البيانات: OpenAIRE