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4 "Transthoracic fine needle aspiration"
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Preparation of Compact Agarose Cell Blocks from the Residues of Liquid-Based Cytology Samples
Suk Jin Choi, Yeon Il Choi, Lucia Kim, In Suh Park, Jee Young Han, Joon Mee Kim, Young Chae Chu
Korean J Pathol. 2014;48(5):351-360.   Published online October 27, 2014
DOI: https://doi.org/10.4132/KoreanJPathol.2014.48.5.351
  • 13,619 View
  • 307 Download
  • 20 Crossref
AbstractAbstract PDF
Background: Inevitable loss of diagnostic material should be minimized during cell block preparation. We introduce a modified agarose cell block technique that enables the synthesis of compact cell blocks by using the entirety of a cell pellet without the loss of diagnostic material during cell block preparations. The feasibility of this technique is illustrated by high-throughput immunocytochemistry using high-density cell block microarray (CMA). Methods: The cell pellets of Sure- Path residues were pre-embedded in ultra-low gelling temperature agarose gel and re-embedded in standard agarose gel. They were fixed, processed, and embedded in paraffin using the same method as tissue sample processing. The resulting agarose cell blocks were trimmed and represented on a CMA for high-throughput analysis using immunocytochemical staining. Results: The SurePath residues were effectively and entirely incorporated into compact agarose cell buttons and embedded in paraffin. Sections of the agarose cell blocks revealed cellularities that correlated well with corresponding SurePath smears and had immunocytochemical features that were sufficient for diagnosis of difficult cases. Conclusions: This agarose-based compact cell block technique enables preparation of high-quality cell blocks by using up the residual SurePath samples without loss of diagnostic material during cell block preparation.

Citations

Citations to this article as recorded by  
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    Journal of Hematopathology.2024; 17(1): 1.     CrossRef
  • Comparison of liquid-based cytology and cell blocks prepared from cell remnants for diagnosis of cervical pathology
    Elif Kuzucular, Ferhat Ozden, Bahar Muezzinoglu
    Annals of Diagnostic Pathology.2024; 69: 152265.     CrossRef
  • Advances in diagnostic liquid‐based cytology
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    Cytopathology.2024;[Epub]     CrossRef
  • Cell blocks in cytology: review of preparation methods, advantages, and limitations
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  • Diagnosis of pancreatic solid pseudopapillary neoplasms using cell‐blocks and immunohistochemical evaluation of endoscopic ultrasound‐guided fine needle aspiration biopsy specimens
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    Cytopathology.2021; 32(1): 50.     CrossRef
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  • Cell and Tissue Display
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  • Diagnostic Usefulness of Claudin-3 and Claudin-4 for Immunocytochemical Differentiation between Metastatic Adenocarcinoma Cells and Reactive Mesothelial Cells in Effusion Cell Blocks
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Cytopathologic Diagnosis of Pulmonary Diseases by Transthoracic Fine Needle Aspiration Biopsy.
In Ae Park, Eui Keun Ham
Korean J Cytopathol. 1990;1(1):27-35.
  • 1,513 View
  • 21 Download
AbstractAbstract PDF
The authors report series of 360 cases of transthoracic fine-needle aspiration cytology(TFNA) from Oct, 1982, through Aug. 1986 at the Seoul National University Hospital. A diagnosis of neoplastic lesion was established in 50.3% of the cases. A non-neoplastic diagnosis was made in 38.5%, nondiagnostic one in 6.5% and inadequate one in 4.7% of the total. Statistical findings on cytological diagnoses were as follows. Specificity was 100% ; sensitivity, 92%; predictive value for positive, 1.0 ; predicitive value for negative, 0.9 : concordance rate, 84.2% ; diagnostic accuracy in non-neoplastic lesion, 65.4%, and typing accuracy in malignant tumor, 0.77.
Analysis of Transthoracic Fine Needle Aspiration Cytologic Diagnoses of Pulmonary Nodules.
Chan Kum Park, Jung Dal Lee
Korean J Cytopathol. 1995;6(2):133-139.
  • 1,224 View
  • 10 Download
AbstractAbstract PDF
To evaluate the sensitivity and specificity of transthoracic fine needle aspiration cytology(TFNAC) in the preoperative diagnosis of pulmonary nodules, a retrospective analysis was carried out on a consecutive series of 200 TFNACs. They included 186 primary malignant tumors, 66 squamous cell carcinomas, 65 adenocarcinomas, 36 small cell carcinomas, 7 large cell carcinomas, 4 carcinoids, 8 others, 9 metastatic tumors, and 5 benign tumors. On cytohistologic correlation of malignant pulmonary tumors, the procedure had a sensitivity of 97.3% and a specificity of 100%. A 86.6% correct correlation between the cytologic and histologic diagnoses was achieved. Five out of the 7 undifferentiated large cell carcinomas, 10 out of the 65 adenocarcinomas, 2 out of the 36 small cell carcinomas, and 2 out of the 66 squamous cell carcinomas were turned out to be mistyped in cytologic diagnosis. We concluded that TFNAC is a highly sensitive and specific preoperative diagnostic procedure in the investigation of patients with discrete pulmonary nodules in whom the specific cell type of the malignant neoplasm has important implications in treatment modality and prognosis.
Transthoracic Fine Needle Aspiration Cytology of the Lung .
Min Suk Kim, In Ae Park, Sun Hoo Park, Sung Shin Park, Hwal Wong Kim, Kyung Chul Moon, Young Ah Kim, Hye Seung Lee, Ki Wha Park, Jeong wook Seo, Hyun Soon Lee, Eui Keun Ham
Korean J Cytopathol. 1999;10(1):13-19.
  • 1,632 View
  • 14 Download
AbstractAbstract PDF
The authors analysed 2,653 cases of transthoracic fine needle aspiration cytology of the lung to evaluate the diagnostic accuracy and its limitation. A comparison was made between the original cytologic and the final histologic diagnoses on 1,149 cases from 1,074 patients. A diagnosis of malignancy was established in 38.3% benign in 48.1%, atypical lesion in 2.3%, and inadequate one in 11.9% of the cases. Statistical data on cytologic diagnoses were as follows; specificity 98.9%: sensitivity of procedure, 76.8%: sensitivity of diagnosis, 95.5%: false positive 5 cases: false negative 18 cases: predictive value for malignancy, 98.8%: predictive value for benign lesion, 79.5%: overall diagnostic efficiency, 87.5%: typing accuracy in malignant tumor, 80%.

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