Safety and utility of performing CT-guided biopsies of pulmonary lesions that arise after radiotherapy.
Kengo OhtaMasashi ShimohiraHiroyuki OginoKeiichi NagaiYusuke SawadaKeita NakayamaYuta ShibamotoPublished in: Journal of medical imaging and radiation oncology (2021)
This study aimed to evaluate the feasibility, safety and usefulness of performing computed tomography (CT)-guided biopsies of pulmonary lesions that arise after radiotherapy. Seventeen patients (14 males and 3 females; median age: 69 years, range: 48-84 years) underwent CT-guided biopsies of pulmonary lesions that occurred in lung regions that had previously been treated with radiotherapy. Three patients underwent CT-guided biopsies twice, and thus, the total number of procedures was 20. We reviewed the subjects' medical records and images, and evaluated the rate for obtaining pathological diagnosis with the biopsy sample, subsequent clinical course, and complications associated with the procedure. In 19 of 20 procedures (95%), the CT-guided biopsy resulted in a pathological diagnosis being obtained. In 14 procedures, the pathological results were consistent with the patients' clinical courses. In the remaining 5 procedures, the lesions were pathologically diagnosed as benign, but they increased in size thereafter; so the lesions were considered to be clinically malignant. The results were considered to represent sampling errors. There were 3 minor complications (slight pneumothorax which did not require drainage) (3/20, 15%), and there were no major complications. In conclusion, performing CT-guided biopsies of pulmonary lesions that arise after radiotherapy appears to be feasible, safe and useful.
Keyphrases
- computed tomography
- dual energy
- image quality
- end stage renal disease
- newly diagnosed
- positron emission tomography
- ultrasound guided
- ejection fraction
- contrast enhanced
- early stage
- chronic kidney disease
- magnetic resonance imaging
- radiation therapy
- prognostic factors
- healthcare
- radiation induced
- machine learning
- squamous cell carcinoma
- peritoneal dialysis
- locally advanced
- risk factors
- convolutional neural network
- patient safety
- quality improvement
- electronic health record
- pet ct