Publications by authors named "Kana Osawa"
Article Synopsis
- The study aimed to assess how ultra-high-resolution imaging and deep learning reconstruction affect the quality and diagnostic ability of MRI for rectal tumors using a specific technique called PROPELLER imaging.
- It involved 34 patients undergoing MRI, comparing four types of images based on varying slice thicknesses and reconstruction methods evaluated by three radiologists using a scoring system.
- Results showed that the 1.2-DLR imaging produced the best quality and clarity, enabling better detection of tumor spread and invasion compared to standard imaging techniques.
