Publications by authors named "A Baba"
Objectives: To comprehensively summarize the characteristics of magnetic resonance imaging (MRI) findings of uterine adenosarcoma through a systematic review and case series analysis.
Methods: A literature search was conducted in MEDLINE, Scopus, and Embase databases on June 3, 2024. In total, 25 cases from 23 articles were selected, and five cases from the authors' institution were included.
Objectives: To evaluate previously reported quantitative (tumor thickness 11 mm and depth of invasion [DOI] 7.5 mm) and qualitative (styloglossus/hyoglossus muscle invasion [SHMI]) magnetic resonance imaging (MRI) parameters for predicting occult neck node metastasis in clinical N0 oral tongue squamous cell carcinoma.
Methods: This single-center retrospective study included 76 patients.
: Computed tomography (CT)-guided transbronchial metallic coil marking is useful for identifying the locations of small peripheral pulmonary lesions. Even deeply located lesions may be accurately identified and resected with adequate margins. This method is also applicable to multiple lesions.
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- The study evaluated the performance of multimodal large language models (LLMs), specifically GPT-4o, Claude 3 Opus, and Gemini 1.5 Pro, on questions from the Japanese Nuclear Medicine Board Examination (JNMBE) to see how visual information affects decision-making.
- 92 questions from recent exams were used, where each model answered questions in both text-and-images and text-only conditions, and their accuracy and agreement rates were statistically assessed.
- Results showed no significant accuracy differences between the conditions, with most models performing poorly overall, indicating that while image utilization is limited, further improvements are necessary for LLMs to be effective in nuclear medicine.