Medication-related osteonecrosis of the jaw (MRONJ) is a progressive condition that can cause significant bone loss and its diagnosis can be challenging. A 68-year-old man with a diagnosis of hepatocellular carcinoma, undergoing treatment with atezolizumab, bevacizumab and zoledronic acid, complained of spontaneous pain in the right lower second premolar. Oral examination revealed no dental changes and implants in the right jaw. A patient history and thorough clinical and radiographic examinations mimic endodontic disease. The implant crowns were removed, bleeding on probing, and peri-implant pockets were observed. The main hypothesis was MRONJ Stage 2, and the surgical treatment was performed. The pain ceased and signs of MRONJ were not observed within 3 months. MRONJ should be considered as a hypothesis in the case of odontalgia and a patient's history of antiresorptive and antiangiogenic therapies. Furthermore, monitoring patients with dental implants in the mandible through detailed clinical and imaging evaluation is required.
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http://dx.doi.org/10.1111/aej.12893 | DOI Listing |
J Bone Oncol
February 2025
Unit of Oral Medicine and Dentistry for Frail Patients, Department of Rehabilitation, Fragility, and Continuity of Care, Regional Center for Research and Care of MRONJ, University Hospital Palermo, Palermo, PA, Italy.
Background: Low-doses of bone modifying agents (LD-BMAs) compared to those used to treat bone metastases are used in breast or prostate cancer patients on adjuvant endocrine therapy to prevent Cancer Treatment Induced Bone Loss (CTIBL). Their use is associated with an increased risk of developing Medication-Related Osteonecrosis of the Jaw (MRONJ). However, there is not clarity about strategies aimed to minimize the MRONJ risk in cancer patients at different conditions as low- vs high-doses of BMA.
View Article and Find Full Text PDFJ Craniomaxillofac Surg
January 2025
Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
The potential of large language models (LLMs) in medical applications is significant, and Retrieval-augmented generation (RAG) can address the weaknesses of these models in terms of data transparency and scientific accuracy by incorporating current scientific knowledge into responses. In this study, RAG and GPT-4 by OpenAI were applied to develop GuideGPT, a context aware chatbot integrated with a knowledge database from 449 scientific publications designed to provide answers on the prevention, diagnosis, and treatment of medication-related osteonecrosis of the jaw (MRONJ). A comparison was made with a generic LLM ("PureGPT") across 30 MRONJ-related questions.
View Article and Find Full Text PDFBMC Oral Health
December 2024
Department of Oral and Maxillofacial Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Background: While the surgical treatment of mandibular stage 3 medication-related osteonecrosis of the jaw (MRONJ) is well-documented, research on maxillary stage 3 MRONJ is limited. Antiresorptive medications can induce MRONJ and atypical femoral fracture (AFF), but their impact on the feasibility of using fibula flaps for reconstruction remains controversial. This study aimed to assess the surgical outcomes and functional recovery of fibula flap reconstruction for maxillary stage 3 MRONJ, considering both recipient and donor site outcomes.
View Article and Find Full Text PDFBr Dent J
December 2024
UCL Eastman Dental Institute, University College London, United Kingdom.
Introduction In the UK, more than 18 million extractions are performed annually. Healing after extraction is often uneventful, but there are rare cases where weeks or months pass and an extraction socket does not heal.Aim The aim of this study is to provide a review of cases in which a non-healing extraction socket is attributed to a serious systemic disease or malignancy, or an adverse consequence of systemic therapy.
View Article and Find Full Text PDFJ Oral Maxillofac Surg
December 2024
Assistant Professor, Research and Data Development, The Securities and Exchange Commission, Bangkok, Thailand.
Background: Medication-related osteonecrosis of the jaw (MRONJ) is a serious complication associated with the use of antiresorptive agents, impacting patient quality of life and treatment outcomes. Predictive modeling may aid in a better understanding of MRONJ development.
Purpose: The study aimed to evaluate machine learning (ML)-based models for predicting MRONJ in patients receiving antiresorptive therapy.
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