Introduction: Endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) is the standard diagnostic procedure for many intrathoracic and intra-abdominal lesions. Next-generation fine-needle biopsies (FNBs) can increase diagnostic yield by procuring tissue suitable for histological processing. We evaluate the diagnostic yield and operating characteristics of the SharkCore (SC; Medtronic Corp., Minneapolis, MN) FNB in a tertiary referral facility.
Materials And Methods: We performed a single-center retrospective review of SC-FNB-acquired tissue between January 2014 and March 2018. Patient demographic data, endoscopic features, and pathology data were obtained from the electronic medical record. Diagnostic yield was assessed by the ability to obtain a definitive diagnosis, defined as malignant or benign interpretations. Operating characteristics were also calculated.
Results: A total of 179 lesions were sampled with the SC-FNB in 157 patients (mean age: 63 years, 57% male). Of these, 31 lesions were concomitantly sampled with a conventional FNA needle. Most lesions were pancreatic (49%). Diagnostic yield was 86%, which was independent of lesion location, lesion size and needle gauge. Diagnostic accuracy was highest when both histology and cytology specimens were analyzed concurrently (96.5%). In patients with a history of chronic pancreatitis, accuracy, sensitivity, and negative predictive value were reduced (71.4%, 20.0%, and 69.2%, respectively). Rapid onsite evaluation (ROSE) occurred in 64.8% of cases and was more likely to be diagnostic at the time of rapid evaluation if SC-acquired tissue was utilized versus FNA-acquired tissue (P = 0.03); however, final diagnostic yield did not differ between needles (P = 0.13).
Conclusions: SC-FNB shows high diagnostic yield and accuracy and provides diagnostic tissue for ROSE. SC-FNB is an effective alternative to conventional FNA.
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http://dx.doi.org/10.1016/j.jasc.2019.03.001 | DOI Listing |
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Sci Rep
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Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal.
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