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Purpose: Osteoradionecrosis of the jaw (ORNJ) is a severe iatrogenic disease characterized by bone death after radiation therapy to the head and neck. With >9 published definitions and at least 16 classification systems, the true incidence and severity of ORNJ are obscured by lack of a standard for disease definition and severity assessment, leading to inaccurate estimation of incidence, reporting ambiguity, and likely underdiagnosis worldwide. This study aimed to achieve consensus on an explicit definition and phenotype of ORNJ and related precursor states through data standardization to facilitate effective diagnosis, monitoring, and multidisciplinary management of ORNJ.
Methods And Materials: The Orodental Radiotherapy-Associated Late-Effects Consortium comprised 69 international experts, including representatives from medical, surgical, radiation oncology, and oral/dental disciplines. Using a web-based modified Delphi technique, panelists classified descriptive cases using existing classification systems, reviewed systems for feature extraction and specification, and iteratively classified cases based on clinical/imaging feature combinations.
Results: The Consortium ORNJ definition was developed in alignment with Systematized Nomenclature of Medicine - Clinical Terms (SNOMED-CT) terminology and recent International Society of Oral Oncology-Multinational Association for Supportive Care in Cancer and the American Society of Clinical Oncology (ISOO-MASCC-ASCO) guideline recommendations. Case review using existing ORNJ classification systems showed high rates of inability to classify (up to 76%). Ten consensus statements and 9 minimum data elements (MDEs) were outlined for prospective collection and classification of precursor/ORNJ disease states.
Conclusions: This study provides an international, consensus-based definition and MDE foundation for standardized ORNJ reporting in cancer survivors treated with radiation therapy. Head and neck surgeons, radiation, surgical, medical oncologists, and dental specialists should adopt MDEs to enable scalable health information exchange and analytics. Work is underway to develop both a human- and machine-readable knowledge representation for ORNJ (ie, ontology) and multidisciplinary resources for dissemination to improve ORNJ reporting in academic and community practice settings.
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http://dx.doi.org/10.1016/j.ijrobp.2024.12.017 | DOI Listing |
JMIR Med Inform
September 2025
Department of Radiology, Air Force Medical Center, Air Force Medical University, Fucheng Road 30, Haidian District, Beijing, CN.
Background: Lateral malleolar avulsion fracture (LMAF) and subfibular ossicle (SFO) are distinct entities that both present as small bone fragments near the lateral malleolus on imaging, yet require different treatment strategies. Clinical and radiological differentiation is challenging, which can impede timely and precise management. On imaging, magnetic resonance imaging (MRI) is the diagnostic gold standard for differentiating LMAF from SFO, whereas radiological differentiation on computed tomography (CT) alone is challenging in routine practice.
View Article and Find Full Text PDFBrief Bioinform
August 2025
School of Computer Science, Xi'an Polytechnic University, 710048, Xi'an, China.
Cancer, with its inherent heterogeneity, is commonly categorized into distinct subtypes based on unique traits, cellular origins, and molecular markers specific to each type. However, current studies primarily rely on complete multi-omics datasets for predicting cancer subtypes, often overlooking predictive performance in cases where some omics data may be missing and neglecting implicit relationships across multiple layers of omics data integration. This paper introduces Multi-Layer Matrix Factorization (MLMF), a novel approach for cancer subtyping that employs multi-omics data clustering.
View Article and Find Full Text PDFEnviron Monit Assess
September 2025
Indira Gandhi Conservation Monitoring Centre, World Wide Fund-India, New Delhi, 110003, India.
Understanding the intricate relationship between land use/land cover (LULC) transformations and land surface temperature (LST) is critical for sustainable urban planning. This study investigates the spatiotemporal dynamics of LULC and LST across Delhi, India, using thermal data from Landsat 7 (2001), Landsat 5 (2011) and Landsat 8 (2021) resampled to 30-m spatial resolution, during the peak summer month of May. The study aims to target three significant aspects: (i) to analyse and present LULC-LST dynamics across Delhi, (ii) to evaluate the implications of LST effects at the district level and (iii) to predict seasonal LST trends in 2041 for North Delhi district using the seasonal auto-regressive integrated moving average (SARIMA) time series model.
View Article and Find Full Text PDFJ Neurooncol
September 2025
Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA.
Purpose: Frailty measures are critical for predicting outcomes in metastatic spine disease (MSD) patients. This study aimed to evaluate frailty measures throughout the disease process.
Methods: This retrospective analysis measured frailty in MSD patients at multiple time points using a modified Metastatic Spinal Tumor Frailty Index (MSTFI).
Mol Biol Rep
September 2025
ICAR-Central Institute of Fisheries Education, Versova, Mumbai, 400061, India.
Background: Labeo fimbriatus (Bloch, 1795) is a medium-sized South Asian minor carp with ecological significance and emerging aquaculture potential, particularly in polyculture systems with Indian major carps. Despite its wide distribution, it remains underrepresented in phylogenetic studies, and limited genomic resources are available. Here, we report the complete mitochondrial genome sequence of L.
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