A New Radiological Scoring System as a Method of Assessing Sclerotherapy Treatment Response for Aneurysmal Bone Cysts: A Retrospective Study.
Mohsin HusseinMark DaviesGanesh HegdeChristine AzzopardiAnish PatelSteve JamesRajesh BotchuPublished in: The Indian journal of radiology & imaging (2024)
Background A widely accepted set of imaging criteria or classification has not yet been adopted to evaluate response to treatment by percutaneous sclerotherapy for aneurysmal bone cyst (ABC). In this article, we described and illustrated the Royal Orthopaedic Hospital (ROH) scoring system which is a new, reproducible, and objective tool to evaluate the radiological response. We also reported our institutional experience in the efficacy of computed tomography (CT)-guided sclerotherapy for treating such lesions. Patients and Methods A retrospective analysis was conducted for 19 patients who underwent CT-guided sclerotherapy with doxycycline and albumin to treat ABC. Follow-up magnetic resonance imaging, at a minimum of 12 months, was assessed according to the four ROH scoring system parameters: cystic component, fluid-fluid level, presence of consolidation, and cortical integrity. The cumulative score was used to grade response as either: excellent, good, equivocal, or poor. Results Out of 19 patients with a mean age of 17.8 years, 11 cases occurred in the long bones, 5 cases in the pelvis, and 1 in each of the C3 vertebral body, scapula, and talus. The mean parameter of response score for cystic component was 2, fluid-fluid level was 1.3, consolidation was 2, and cortical integrity was 2.1. Four cases showed excellent response, 12 cases showed good response, 2 cases showed equivocal response, and 1 case showed poor response. Interrater reliability was excellent (κ = 0.9). Conclusion The ROH scoring system provides the radiologist and surgeon with an objective method to score imaging parameters of response independently and achieve a grade based on the cumulative score.
Keyphrases
- computed tomography
- magnetic resonance imaging
- end stage renal disease
- healthcare
- high resolution
- machine learning
- newly diagnosed
- chronic kidney disease
- ejection fraction
- positron emission tomography
- deep learning
- mass spectrometry
- photodynamic therapy
- bone mineral density
- magnetic resonance
- peritoneal dialysis
- pet ct
- image quality
- dual energy
- electronic health record
- postmenopausal women
- radiofrequency ablation
- replacement therapy
- robot assisted