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In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses
Published on: March 30, 2015
Computed tomography-guided renal tumor biopsies: tumor imaging features affecting sample adequacy
Ivan C Davis1, Marta E Heilbrun, Kaan Tangtiang
1Department of Radiology, Wake Forest University Health Sciences, Medical Center Boulevard, Winston-Salem, NC 27157-1088, USA. idavis@wfubmc.edu
Journal of Computer Assisted Tomography
|March 16, 2013
Summary
Predicting diagnostic computed tomography (CT)-guided renal tumor biopsy success is possible. Larger, solid renal tumors with higher CT attenuation are more likely to yield diagnostic biopsies.
Area of Science:
- Radiology
- Oncology
- Pathology
Background:
- Renal tumors require accurate diagnosis.
- Computed tomography (CT)-guided biopsy is a common diagnostic tool.
- Predicting biopsy success can optimize patient care.
Purpose of the Study:
- To develop a predictive model for diagnostic CT-guided renal tumor biopsy.
- To identify unenhanced CT imaging characteristics associated with diagnostic biopsy success.
Main Methods:
- Retrospective review of CT images and pathology reports for 276 patients.
- Analysis of tumor size, growth pattern, location, and CT attenuation.
- Logistic regression modeling and receiver operator characteristic curve analysis.
Main Results:
- Overall diagnostic rate of 76.8%.
- Increasing tumor size and solid tumor CT attenuation correlated with diagnostic biopsies.
- The derived predictive model showed moderate discrimination (0.71).
Conclusions:
- Smaller solid renal tumors (<1 cm) and all cystic tumors have a lower likelihood of diagnostic biopsy.
- The predictive model offers moderate accuracy in forecasting biopsy success.
- Imaging characteristics can guide biopsy planning for renal tumors.
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