1. Solitary bone tumor imaging reporting and data system (BTI-RADS): initial assessment of a systematic imaging evaluation and comprehensive reporting method
- Author
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Pedro Augusto Gondim Teixeira, Guilherme Jaquet Ribeiro, Eve Euxibie, Gabriela Hossu, Jean-Michel Trinh, Alain Blum, François Sirveaux, Romain Gillet, Imagerie Guilloz [CHRU Nancy] (Service d'imagerie Guilloz), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Université de Lorraine (UL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Chirurgical Emile Gallé [Nancy], and BIRKER, Juliette
- Subjects
Adult ,Male ,medicine.medical_specialty ,Evidence-based medicine ,[INFO.INFO-IM] Computer Science [cs]/Medical Imaging ,Periosteal reaction ,[SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine ,Malignancy ,[SDV.IB.MN] Life Sciences [q-bio]/Bioengineering/Nuclear medicine ,030218 nuclear medicine & medical imaging ,Multidetector computed tomography ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Magnetic resonance imaging ,medicine ,[INFO.INFO-IM]Computer Science [cs]/Medical Imaging ,Humans ,Radiology, Nuclear Medicine and imaging ,Prospective Studies ,Neuroradiology ,Retrospective Studies ,[SDV.MHEP] Life Sciences [q-bio]/Human health and pathology ,medicine.diagnostic_test ,business.industry ,Ultrasound ,Bone neoplasms ,Reproducibility of Results ,Interventional radiology ,General Medicine ,Middle Aged ,medicine.disease ,Clinical trial ,030220 oncology & carcinogenesis ,Female ,Radiology ,business ,Tomography, X-Ray Computed ,Kappa ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology - Abstract
Identify the most pertinent imaging features for solitary bone tumor characterization using a multimodality approach and propose a systematic evaluation system. Data from a prospective trial, including 230 participants with histologically confirmed bone tumors, typical “do not touch” lesions, and stable chondral lesions, were retrospectively evaluated. Clinical data, CT, and MR imaging features were analyzed by a musculoskeletal radiologist blinded to the diagnosis using a structured report. The benign-malignant distribution of lesions bearing each image feature evaluated was compared to the benign-malignant distribution in the study sample. Benign and malignant indicators were identified. Two additional readers with different expertise levels independently evaluated the study sample. The sample included 140 men and 90 women (mean age 40.7 ± 18.3 years). The global benign-malignant distribution was 67–33%. Seven imaging features reached the criteria for benign indicators with a mean frequency of benignancy of 94%. Six minor malignant indicators were identified with a mean frequency of malignancy of 60.5%. Finally, three major malignant indicators were identified (Lodwick-Madewell grade III, aggressive periosteal reaction, and suspected metastatic disease) with a mean frequency of malignancy of 82.4%. A bone tumor imaging reporting and data system (BTI-RADS) was proposed. The reproducibility of the BTI-RADS was considered fair (kappa = 0.67) with a mean frequency of malignancy in classes I, II, III, and IV of 0%, 2.2%, 20.1%, and 71%, respectively. BTI-RADS is an evidence-based systematic approach to solitary bone tumor characterization with a fair reproducibility, allowing lesion stratification in classes of increasing malignancy frequency. Clinical trial number NCT02895633 . • The most pertinent CT and MRI criteria allowing bone tumor characterization were defined and presented. • Lodwick-Madewell grade III, aggressive periosteal reaction, and suspected metastatic disease should be considered major malignant indicators associated with a frequency of malignancy over 75%. • The proposed evidence-based multimodality reporting system stratifies solitary bone tumors in classes with increasing frequencies of malignancy.
- Published
- 2021
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