Publications by authors named "R Mizuno"

The combination therapy of lenvatinib plus pembrolizumab (LP) is increasingly recognized as an important second-line regimen for advanced or recurrent endometrial cancer (EC). However, the safety and efficacy of conversion surgery with low anterior rectal resection for unresectable EC following LP therapy is unknown. A 37-year-old woman was referred with unresectable EC with pleural fluid, peritoneal dissemination, and ascites.

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Radical surgery for rectal cancer with bulky lateral pelvic lymph node (LPLN) metastasis involving the sciatic nerve presents both technical and oncological challenges. Preoperative multidisciplinary treatments have recently been anticipated to control the disease as well as to preserve organ function. A 51-year-old man, presenting with right buttock pain and impairment of walking, was diagnosed with sciatic nerve impairment due to right LPLN metastasis from rectal cancer.

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Introduction: Adverse events, such as erectile dysfunction (ED) and lower urinary tract symptoms (LUTS), are significant concerns in prostate cancer (PCa) patients treated with Iodine 125 (I-125) low-dose rate (LDR) prostate brachytherapy (PB). Alpha antagonists and phosphodiesterase-5 inhibitors are used to manage these events. The present study compared the efficacy of low-dose tadalafil with that of tamsulosin for concomitant ED and LUTS in PCa patients treated with I-125 LDR PB.

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Article Synopsis
  • A 60s male patient diagnosed with advanced gastric cancer (with pyloric stenosis and enlarged lymph nodes) experienced significant tumor reduction after two courses of chemotherapy before surgery.
  • He underwent laparoscopic gastric jejunal bypass followed by distal gastrectomy and para-aortic lymph node dissection, with positive surgical results and no further tumor growth observed.
  • After the operation, he received a year of adjuvant chemotherapy and has remained recurrence-free for 1.5 years, highlighting the effectiveness of preoperative treatment for this condition.
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Article Synopsis
  • - The study aimed to assess how well various AI models, specifically different types of convolutional neural networks (CNNs), could distinguish between benign and malignant breast tumors using diffusion-weighted imaging (DWI), and compared these results to evaluations made by radiologists.
  • - Data was collected from 334 breast lesions scanned between May 2019 and March 2022, and results indicated that a small 2D CNN model outperformed a 3D CNN and matched or exceeded radiologists in diagnostic accuracy for identifying tumors.
  • - The findings suggested that AI models, especially the small 2D CNN using data augmentation techniques, performed comparably to radiologists in both sensitivity and specificity, making them a viable tool in radiological
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