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Nodal Progression During Radiotherapy Waiting Time: A Case Report From Nasopharyngeal Cancer Winarni, Tika Wahyu; Rafiq Sulistyo Nugroho
International Journal of Radiology and Imaging Vol. 2 No. 02 (2023): International Journal of Radiology and Imaging
Publisher : Department of Radiology, Medical Faculty, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776//ub.ijri.2023.002.02.3

Abstract

Nasopharyngeal cancer (NPC) is an epithelial cancer that develops from the lining of the nasopharynx. Nasopharyngeal cancer is a highly radiosensitive and chemosensitive type of tumor. Chemoradiotherapy is the treatment backbone for locoregionally advanced NPC; induction chemotherapy followed by chemoradiotherapy is the new standard-of-care therapy in this disease setting. A 49-year-old male patient was diagnosed with nasopharyngeal cancer T2N3Mx. The patient experienced a delay in his radiotherapy treatment for 6 months, and this delayed time and overall treatment time (OTT) affected the development of the patient’s therapy. The patient underwent chemotherapy and radiotherapy procedures and showed good results. The size of the mass reduced, and, based on the result of the biopsy, what remained was non-specific chronic inflammation. Keywords: NPC, progression, radiation therapy, waiting time
Ki-67 AS A PREDICTING FACTOR OF NASOPHARYNGEAL, BREAST, AND CERVICAL CANCER: A LITERATURE REVIEW Arifah, Arifah; Rafiq Sulistyo Nugroho; Alfred J Petrarizky
International Journal of Radiology and Imaging Vol. 3 No. 01 (2024): International Journal of Radiology and Imaging
Publisher : Department of Radiology, Medical Faculty, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776//ub.ijri.2024.003.01.5

Abstract

Background: Although the exact role remains unknown, Ki-67 is vital in cell division. Ki-67 is a nuclear nonhistone protein present in all active phases of the cell cycle. It has the potential to predict the prognosis of responsiveness to radiotherapy, chemotherapy, or endocrine therapy, estimate residual risk, and predict recurrence in many types of cancer, including nasopharyngeal cancer (NPC), breast cancer (BC), and cervical cancer (CX), and be a marker for treatment efficacy. We want to review the efficacy of Ki-67 as a predicting factor for three types of cancer, including NPC, breast, and cervical cancer, from several pieces of literature. Materials and Methods: We are conducting a literature review to describe the role of Ki-67 as a predicting factor in NPC, BC, and CX. Results: Pretreatment Ki-67 is used as an independent prognostic marker in NPC, and elevated values are associated with poor prognosis. High Ki-67 expression may indicate poorer recurrence-free survival and overall survival. A high Ki-67 index significantly correlated with adverse prognostic factors. Conclusion:  A high expression of Ki-67 in NPC, breast cancer, and cervical cancer is associated with poor prognosis, poorer recurrence, and overall survival rates. Ki-67 can be considered as a valuable biomarker of many cancers. Keywords: Radiotherapy, Ki-67, nasopharyngeal cancer, breast cancer, cervical cancer
THE ROLE OF CHATGPT IN RADIATION ONCOLOGY: A LITERATURE REVIEW Adikaraputri, Elita Verina; Rafiq Sulistyo Nugroho; Alfred Julius Petrarizky; Farel Muhammad Sayyaf Haydar; Satya Alfarisma Panggabean
International Journal of Radiology and Imaging Vol. 5 No. 01 (2026): International Journal of Radiology and Imaging
Publisher : Department of Radiology, Medical Faculty, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.ijri.2026.005.01.02

Abstract

Background: Artificial Intelligence, such as ChatGPT, is generating significant attention in the current age of personalized medicine. Considering the role of AI in synthesizing information and providing recommendations, this literature review examines the role and potential applications of AI language models in educational settings, medical decision-making, patient communication, and research for radiation oncologists and medical students. Methods: This literature review was developed based on the role ChatGPT-3.5 and ChatGPT-4 in  addressing case scenarios related to radiation oncology from Google Scholar, PubMed, and ScienceDirect databases. The main keywords are “ChatGPT” and “Radiation Oncology”. This searching process results in ten valid and reliable articles. Results: The findings suggest that the responses generated by ChatGPT were valid and comparable to the professional proficiency of experts in radiation oncology, specifically for assisting in patient queries, information and decision maker provision, summarizing radiology reports for patients, and facilitating research related to radiation oncology. Nevertheless, ChatGPT has limitations and cannot substitute the role of a doctor under any circumstances. Conclusion: ChatGPT has a proven role and potential as a learning platform for healthcare practitioners specializing in radiation oncology. In addition, ChatGPT can deliver information to patients regarding their complaints. However, ChatGPT-3.5 and ChatGPT-4 still have limitations that need to be addressed to improve their performance.