Accuracy and Quality Assessment of EUS-FNA: A Single-Center Large Cohort of Biopsies.

Introduction. Thorough quality control (QC) study with systemic monitoring and evaluation is crucial to optimizing the effectiveness of EUS-FNA. Methods. Retrospective analysis was composed of investigating consecutive patient files that underwent EUS-FNA. QC specifically focused on diagnostic accuracy, impacts on preexisting diagnoses, and case management. Results. 268 patient files were evaluated. EUS-FNA cytology helped establish accurate diagnoses in 92.54% (248/268) of patients. Sensitivity, specificity, PPV, NPV, and accuracy were 83%, 100%, 100%, 91.6%, and 94%, respectively. The most common biopsy site was the pancreas (68%). The most accurate location for EUS-FNA was the esophagus, 13/13 (100%), followed by the pancreas (89.6%). EUS-FNA was least informative for abdominal lymph nodes (70.5%). After FNA and followup, eight false negatives for tumors were found (3%), while 7.5% of samples still lacked a definitive diagnosis. Discussion. QC suggests that the diagnostic accuracy of EUS-FNA might be improved further by (1) taking more FNA passes from suspected lesions, (2) optimizing needle selection (3) having an experienced echo-endoscopist available during the learning curve, and (4) having a cytologist present during the procedure. QC also identified remediable reporting errors. In conclusion, QC study is valuable in identifying weaknesses and thereby augmenting the effectiveness of EUS-FNA.

Optimizing management of pancreatic cysts--prospective re-assessment for 157 cases.

BACKGROUND/AIMS: Ongoing debate continues regarding the appropriate management of pancreatic cysts (PCs). Disagreement prevails regarding frequency of needed follow-up, if and when to perform any PC needle biopsy and indications for surgical resection. EUS is increasingly used to help determine management of PCs. METHODOLOGY: One hundred and fifty seven consecutive patients with PCs were identified out of 5000 patients who underwent EUS between 1995-2007. In 2008, these patients were then prospectively provided clinical follow-up, and CEA, CA19-9 and CRP. RESULTS: No symptoms could be definitively related to the PCs. Twenty four of 157 patients with suspected malignant cysts, mucinous cysts or IPMN had undergone surgical treatment. Whipple's operation was performed in 14 patients and distal pancreatectomy in 10 patients. Fifty PCs were located in the head of pancreas. In 89 patients prospective blood tests were performed; in 6 of them elevated levels of CA-19-9 were detected, 3 of these also had elevated serum CEA. Twelve patients had increased CRP values. No complication (requiring hospitalization) and no mortality related to EUS had occurred. CONCLUSIONS: Elements identified as important for assessment of PCs included: size, serum and fluid markers, imaging characteristics and clinical follow-up. These factors should be included in the recommended guidelines.

Ploidy and nuclear area as a predictive factor of histologic grade in primary breast cancer.

OBJECTIVE: To compare ploidy and nuclear area with histologic grade in breast cancer using cytologic samples. STUDY DESIGN: Fine needle aspirates from 85 patients with primary breast cancer were analyzed to identify ploidy and nuclear area. The Feulgen technique was used to stain the material. We used the SAMBA 4000 image analysis system (Grenoble, France) for analyzing ploidy and nuclear area. Each patient underwent a biopsy, and the histologic grade was analyzed. RESULTS: A significant association was found between ploidy and nuclear area, between histologic grade and nuclear area, and between ploidy and histologic grade. As ploidy became aneuploid and polyploid and nuclear area became larger, histologic grade became higher. CONCLUSION: A reliable and rapid evaluation of variables for breast cancer can be achieved using cytologic preparations by measuring ploidy and nuclear area of malignant cells with an image analysis system. Ploidy and nuclear area have a significant association with histologic grade.

Prognostic markers in histologic and cytologic specimens of breast cancer.

OBJECTIVE: To correlate histologic and cytologic specimens of breast cancer by the expression of prognostic factors, such as estrogen receptor (ER), progesterone receptor (PR) and c-erbB-2, with immunochemical staining. STUDY DESIGN: Cytologic and histologic specimens from 83 patients were analyzed for expression of ER and PR, and 30 cases were analyzed for overexpression of c-erbB-2 using a standard immunochemical method. The material used for immunocytochemical staining was taken from the needle and syringe after each aspiration and smear preparation. The material was washed into a small container with preservative solution. Immunohistochemical staining was performed on paraffin-embedded specimens. RESULTS: A significant association was found between the histologic specimens and cytologic specimens by means of the expression of immunochemical markers. The best correlation between cytologic and histologic specimens was found when using c-erbB-2. CONCLUSION: A reliable and rapid evaluation of markers for breast cancer can be achieved by immunocytochemical staining on cytologic material. A good association was found between histologic and cytologic specimens using immunostaining.

Prognostic evaluation of breast cancer in cytologic specimens.

OBJECTIVE: To evaluate prognostic factors in breast cancer using cytologic samples and to determine the correlation between those factors and ploidy. STUDY DESIGN: Two hundred sixteen fine needle aspirates from patients with primary breast cancer were analyzed for expression of estrogen receptors (ERs), progesterone receptors (PRs), Ki-67 antigen, expression of p53 tumor suppressor gene and overexpression of c-erbB-2 using a standard immunochemical method. Not all subjects had all biomarker information because of the study design (c-erbB2 added later). The specimens were analyzed also for ploidy. We used the SAMBA 4000 image analysis system for quantification of the percent of cells stained positively by the different immunocytochemical stains andfor ploidy. RESULTS: A significant correlation wasfound between ER and PR and between Ki-67 and positive p53. Steroid receptor content was not significantly related to p53, Ki-67 or c-erbB2. No correlation was found between c-erbB2 and the other biomarkers. Ploidy had a significant correlation with all the biomarkers used. CONCLUSION: A reliable and rapid evaluation of markers for breast cancer can be achieved by measuring cells stained positively by immunocytochemical stains, as well as ploidy, by means of an image analysis system. ER, PR Ki-67, p53 and c-erbB2 had a significant correlation with ploidy and overall prognostic value in breast cancer.