Ectopic Pituitary Neuroendocrine Tumor: A Case Report Written With the Help of ChatGPT

Cureus. 2023 Oct 13;15(10):e46999. doi: 10.7759/cureus.46999. eCollection 2023 Oct.

Abstract

ChatGPT (Chat Generative Pre-trained Transformer) is a chat robot program developed by OpenAI (OpenAI Incorporated, Mission District, San Francisco, USA). It is a natural-language processing tool driven by artificial intelligence technology. It can complete tasks such as writing emails, video scripts, copywriting, translation, coding, and writing papers. At present, several studies have been conducted on the use of this tool for academic writing, so we report a rare case of suprasellar ectopic pituitary neuroendocrine tumor (PitNET) secreting growth hormones, in a female 53-year-old patient with facial changes and hypertrophy of her hands and feet for six years. When asking questions on unusual topics, ChatGPT can provide answers but not specific ones, and similar to most machine learning solutions, verifying the correctness of information is a problem. Question asked from ChatGPT: Summarize ectopic pituitary neuroendocrine tumor. "Suprasellar heterotopic pituitary neuroendocrine tumors refer to tumors formed by the heterotopic growth of pituitary neuroendocrine tumor cells in the sellar region other than the pituitary glands. This tumor is common in middle-aged women, and it often manifests as headache, visual impairment, and endocrine dysfunction. Diagnosis is usually made by combining history, physical examination, blood tests, and imaging. Treatment is primarily performed through surgical resection of the tumor, radiotherapy, and drug therapy, and the prognosis is mostly good." The content in quotation marks is generated by ChatGPT.

Keywords: artificial intelligence; brain tumor; chatgpt; ectopic pituitary neuroendocrine tumor; neuro-oncology.

Publication types

  • Case Reports

Grants and funding

This research was funded by the Fujian Provincial Science and Technology Plan Key Project (Grant Number: 2019Y9045) and the Fujian Medical University Sailing Fund Project (Grant Number: 2019QH2043).