Factors Predicting the Final Diagnosis in Image-Guided Percutaneous Needle Biopsy for Suspected Spinal Tumors.
Makoto OkaAkinobu SuzukiHidetomi TeraiMinori KatoHiromitsu ToyodaShinji TakahashiKoji TamaiHiroaki NakamuraPublished in: Journal of clinical medicine (2023)
In cases of suspected spinal tumors on imaging studies, a biopsy is often necessary for establishing the diagnosis. Predictive factors for tumors or malignancies may help in scheduling biopsies or avoiding unnecessary ones. However, there have been few studies on determining these factors. We aimed to determine the factors associated with the final diagnosis in cases requiring spinal biopsy. This study included 117 patients who underwent image-guided (fluoroscopy- or computed tomography [CT]-guided) needle biopsy of the spine. Data on patient demographic, pathological diagnoses, and final diagnoses were retrospectively collected from the medical records. The imaging features and location of lesions were also evaluated on CT and magnetic resonance imaging. Furthermore, factors related to tumors or malignancies were analyzed. The diagnostic accuracy of biopsy was 94.0%, and there was no difference in the diagnostic accuracy between the fluoroscopic and CT-guided biopsies. Sixty-six and fifty-six patients were diagnosed with spinal tumors and malignant tumors, respectively. Multivariate analysis revealed that a history of malignant tumors and the presence of pedicle lesions and/or extravertebral lesions were related factors for both tumors or malignancy in the final diagnosis. These findings can help determine the necessity for or timing of biopsy in patients with suspected spinal tumors.
Keyphrases
- ultrasound guided
- computed tomography
- magnetic resonance imaging
- spinal cord
- fine needle aspiration
- end stage renal disease
- contrast enhanced
- newly diagnosed
- ejection fraction
- healthcare
- positron emission tomography
- image quality
- high resolution
- chronic kidney disease
- dual energy
- patient reported outcomes
- spinal cord injury
- peritoneal dialysis
- single cell
- artificial intelligence
- case report
- diffusion weighted imaging
- fluorescence imaging