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2.
Cytopathology ; 26(6): 368-72, 2015 Dec.
Article in English | MEDLINE | ID: mdl-25123326

ABSTRACT

OBJECTIVE: The sensitivity of endocervical curettage (ECC) can be suboptimal because of limited epithelial tissue. The false-negative rate for ECC in patients with cervical intraepithelial neoplasia involving the endocervical canal has been reported to be 45%. ECC samples are transported to pathology in formalin- or saline-filled containers; this fluid is discarded after the specimen has been submitted. We evaluated the utility of performing liquid-based cytological preparations from ECC transport container fluid as a way to increase the sensitivity of ECC specimens. METHODS: Consecutive ECC specimens received at one of the two participating institutions were selected prospectively. A surgical pathology mesh bag was placed over a ThinPrep(®) CytoLyt(®) solution container, and the specimen was filtered through the bag, collecting the transport fluid in the container. The CytoLyt(®) was processed to obtain a container fluid ThinPrep(®) (CF-TP) liquid-based Papanicolaou (Pap) slide. The CF-TP slides were reviewed and the findings were compared with those from the ECC and follow-up specimens. RESULTS: The cohort included 53 patients. Discrepancies between CF-TP and ECC were seen in 14 of the 53 patients (26%); a more significant lesion was identified in CF-TP relative to ECC in 13 of these cases. CF-TP diagnosis was confirmed in eight of 11 cases with histological follow-up. A positive CF-TP result was confirmed by histology in six of nine cases with negative ECC. CONCLUSIONS: Combining the pathological evaluation of ECC specimens with liquid-based cytology performed on the transport container fluid can increase the diagnostic sensitivity of the ECC procedure for the detection of cervical lesions.


Subject(s)
Cervix Uteri/pathology , Papanicolaou Test/methods , Specimen Handling , Uterine Cervical Dysplasia/pathology , Uterine Cervical Neoplasms/pathology , Adult , Aged , Cervix Uteri/surgery , Curettage , Female , Humans , Middle Aged , Sensitivity and Specificity , Young Adult
3.
Endocr Pathol ; 17(3): 225-34, 2006.
Article in English | MEDLINE | ID: mdl-17308359

ABSTRACT

BACKGROUND: Several immunohistochemical markers have been used to aid in the diagnosis of follicular-derived lesions of the thyroid (FDLT). In this study we analyze the diagnostic efficacy of an immunopanel of antibodies to cytokeratin-19 (CK19), galectin-3 (GAL-3), HBME-1, anti-MAP kinase (ERK), ret-oncoprotein (RET), and p16 using a tissue microarray consisting of both benign and malignant FDLT. DESIGN: The study cohort consisted of 90 cases of FDLT (53 benign, 37 malignant) embedded in a microarray and immunostained with antibodies to CK19, Gal-3, HMBE-1, ERK, RET, and p16. Staining was scored as positive when >25% of the lesional cells showed positive immunostaining. RESULTS: HMBE-1 was expressed in 70% of malignant and 10% of benign FDLT (p value: <0.0001). CK19 and GAL-3 were positive in 70% and 73% of malignant lesions, respectively, and 34% of benign FDLT (p value 0.0005 and 0.0015, respectively). ERK was positive in 4% of the benign and 32% of the malignant cases (p value 0.0002). p16 was expressed in 2% and 46% of the benign and malignant lesions, respectively (p value 0.0001). RET positivity was identified in 15% of the benign lesions and 27% of the malignant cases (p value 0.0016). CONCLUSIONS: HBME-1, ERK, and p16 were more specific for malignancy, whereas CK19 and GAL-3 stained benign lesions with a higher frequency and were not specific for malignant FDLT. RET-oncoprotein showed poor sensitivity and specificity.


Subject(s)
Adenocarcinoma, Follicular/diagnosis , Adenocarcinoma, Follicular/metabolism , Biomarkers, Tumor/analysis , Thyroid Neoplasms/diagnosis , Thyroid Neoplasms/metabolism , Biomarkers, Tumor/biosynthesis , Cyclin-Dependent Kinase Inhibitor p16/biosynthesis , Extracellular Signal-Regulated MAP Kinases/biosynthesis , Galectin 3/biosynthesis , Humans , Immunohistochemistry , Proto-Oncogene Proteins c-ret/biosynthesis , Tissue Array Analysis
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