The Importance of Computed Tomography Guided Transthorasic Aspiration Biopsy/Cell Block Method in Early Diagnosis and Treatment of Lung Lesions: Cytopathologic Analysis in 354 Cases
Autor: | Arzu Tasdemir, Mithat Fazlioğlu |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
medicine.medical_specialty
Computed tomography 01 natural sciences Lesion 03 medical and health sciences 0302 clinical medicine Health Care Sciences and Services Aspiration biopsy Biopsy medicine 030212 general & internal medicine 0101 mathematics Sağlık Bilimleri ve Hizmetleri Cell block Lung medicine.diagnostic_test business.industry 010102 general mathematics lung computed tomography General Medicine Benign lesion medicine.anatomical_structure Fine-needle aspiration Radiology medicine.symptom business |
Zdroj: | Volume: 9, Issue: 3 513-521 Sakarya Tıp Dergisi |
ISSN: | 2146-409X |
Popis: | Objective: The aim of this study was to evaluated the effectiveness of computed tomography(CT) guided transthorasic fine needle aspiration biopsy in the diagnosis of lung mass lesions. Material and Method: In this study, we are presenting 354 CT guided TTFNAB materials. The 348 of aspirations were performed from lung directly and 6 of them were performed from masses with mediastinal location. After the lesion was localized by CT, aspiration biopsy was performed by thoracic surgeon with 20-22 gauge Chiba needle by using 20 ml. Results : Among the 220 patients who underwent TTFNAB (354 aspiration biopsy), 163(46.04%) were diagnosed as tumor, 74(20.90%) as suspicious lesion, 71(20.05) as benign lesion and 46(12.99%) as aspirate nondiagnostic. 140(39.54%) aspirata cell blocks were applied to 134 cases. Immunohistochemical and histochemical studies were performed in these cases and type differentiation could be made in tumor. Conclusion: TTFNAB-CB in expert hands and experienced pathologists is fairly accurate for lung masses and can be regarded as an acceptable procedure for early diagnose and treatment planning purposes in most lung lesions. |
Databáze: | OpenAIRE |
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