Publications by authors named "Takanobu Ikeda"
Article Synopsis
- The study aimed to evaluate the effectiveness of deep learning reconstruction (DLR) on the quality of computed tomography hepatic arteriography (CTHA) images taken during transcatheter arterial chemoembolization (TACE).
- Twenty-seven patients were analyzed using three different reconstruction algorithms: hybrid-iterative reconstruction (hybrid-IR), DLR with mild strength (DLR-M), and DLR with strong strength (DLR-S).
- Results showed that DLR-S provided significantly better image quality, with higher signal-to-noise ratios and superior sharpness for vascular structures and tumors compared to the other algorithms, although feeder artery detection rates were similar across all methods.
A man in his 80s was admitted to our hospital with a chief complaint of bloody stools. He was diagnosed with cT2N0M0, cStage Ⅰ rectal cancer. As the patient was of advanced age and had multiple comorbidities, definitive chemoradiotherapy was administered.
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