Anticancer research · 2026
Usefulness of Artificial Intelligence for Surgical Support in Robot-assisted Distal Pancreatectomy: A Preliminary Case Report.
СтатьяКлинический случайНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Matsuda Kazuhiro, Aoki Takeshi, Kobayashi Nao, Tashiro Yoshihiko, Tomioka Kodai, Kusano Tomokazu, Shibata Hideki, Nogaki Koji, Nagaishi Shodai, Saito Kazuhiko, Yamazaki Tatsuya, Fujimori Akira, Date Hiromi, Watanabe Ryohei, Yamazaki Kimiyasu, Watanabe Makoto, Enami Yuta, Yamaue Hiroki
Аннотация
BACKGROUND/AIM: The incidence of postoperative complications in minimally-invasive surgery for pancreatic disease remains a concern. The application of artificial intelligence (AI) in surgery has been reported to improve the precision of anatomical identification, potentially improving the rate of postoperative complications. In this report, the utility of organ recognition support provided by surgical AI during robot-assisted distal pancreatectomy for a patient with pancreatic neuroendocrine tumor (NET) is described.
CASE REPORT: A 33-year-old woman with hereditary breast and ovarian cancer syndrome was followed-up after undergoing left breast cancer surgery and hormone therapy for bone metastasis. Endoscopic ultrasound revealed a 14 mm hypoechoic mass in the pancreatic tail. Following fine-needle aspiration, NET or solid pseudopapillary neoplasm was suspected. Give that the bone metastasis was well-controlled and no additional distant metastases were detected, surgical resection was chosen with the dual intent of therapeutic intervention and definitive diagnosis. Robot-assisted distal pancreatectomy was performed using the Da Vinci Xi Surgical System. The patient was discharged on postoperative day 25. Histopathological testing revealed that the tumor was a pancreatic NET (G1). A retrospective analysis using the video footage from the surgery was performed with aid of the Eureka AI system. The support system could recognize pancreatic parenchyma and loose connective tissue. Although the patient had a high body mass index, fat tissue was clearly distinguished from pancreatic tissue. During the surgery, the dissection line on the lower margin of the pancreas was falsely recognized and pancreatic tissue was damaged. The correct dissection line, however, was seen in the AI analysis image.
CONCLUSION: Organ recognition assistance using surgical AI during robot-assisted distal pancreatectomy enables enhanced color-coded visualization of anatomical structures, potentially preventing intraoperative errors.
CASE REPORT: A 33-year-old woman with hereditary breast and ovarian cancer syndrome was followed-up after undergoing left breast cancer surgery and hormone therapy for bone metastasis. Endoscopic ultrasound revealed a 14 mm hypoechoic mass in the pancreatic tail. Following fine-needle aspiration, NET or solid pseudopapillary neoplasm was suspected. Give that the bone metastasis was well-controlled and no additional distant metastases were detected, surgical resection was chosen with the dual intent of therapeutic intervention and definitive diagnosis. Robot-assisted distal pancreatectomy was performed using the Da Vinci Xi Surgical System. The patient was discharged on postoperative day 25. Histopathological testing revealed that the tumor was a pancreatic NET (G1). A retrospective analysis using the video footage from the surgery was performed with aid of the Eureka AI system. The support system could recognize pancreatic parenchyma and loose connective tissue. Although the patient had a high body mass index, fat tissue was clearly distinguished from pancreatic tissue. During the surgery, the dissection line on the lower margin of the pancreas was falsely recognized and pancreatic tissue was damaged. The correct dissection line, however, was seen in the AI analysis image.
CONCLUSION: Organ recognition assistance using surgical AI during robot-assisted distal pancreatectomy enables enhanced color-coded visualization of anatomical structures, potentially preventing intraoperative errors.