Transthoracic Fine Needle Aspiration Biopsy in Localized Pulmonary Lesions: Diagnostic Accuracy and Complications

1995 ◽  
Vol 42 (5) ◽  
pp. 685
Author(s):  
Suck Chul Yang ◽  
Yeon Soo Kim ◽  
Soon Kil Kim ◽  
Tae Wha Kim ◽  
Kyung Sang Lee ◽  
...  
2021 ◽  
pp. 1-7
Author(s):  
Shruti Agrawal ◽  
Michael Leonard Anthony ◽  
Pranoy Paul ◽  
Divya Singh ◽  
Akansha Agarwal ◽  
...  

<b><i>Background:</i></b> Fine-needle aspiration biopsy (FNAB) in breast lesions offers accurate results in differentiating benign and malignant lesions. However, its role is unclear when core-needle biopsy (CNB) is available, the latter providing additional information regarding tumor grade, invasion, and hormone receptor status in malignant lesions. In benign breast lesions, especially in BIRADS category 4a and 4b, FNAB, and CNB provide similar pathological information, whereby FNAB may serve as a more rapid and cost-effective investigation. The study was planned to reevaluate the diagnostic accuracy of FNAB in BIRADS category 4a, 4b, and 4c lesions. <b><i>Materials and Methods:</i></b> FNAB and biopsy reports of all patients with breast lesions sent between September 1, 2018, and November 30, 2020, were collected and the International Academy of Cytology (IAC) Yokohama category and BIRADS score were recorded for each case. The rate of malignancy and the accuracy of FNAB in diagnosing malignancy were calculated for each BIRADS 4a, 4b, and 4c subgroup. <b><i>Results:</i></b> A total of 249 cases of BIRADS 4 lesions had corresponding cytology and histopathology diagnoses. FNAB showed high diagnostic accuracy in all BIRADS groups. A benign categorization was associated with a very low number of false-negative diagnoses, especially in BIRADS 4a lesions. <b><i>Conclusion:</i></b> The study reconfirms the excellent accuracy of breast FNAB using the IAC Yokohama system in diagnosing breast malignancies. Furthermore, BIRADS 4a lesions found to be belonging to the cytological benign category may be excluded from CRB and kept on clinical follow-up.


Clinics ◽  
2010 ◽  
Vol 65 (9) ◽  
pp. 847-850 ◽  
Author(s):  
Marcos Duarte Guimarães ◽  
Marcony Queiroz de Andrade ◽  
Alexandre Calabria da Fonte ◽  
Gustavo Benevides ◽  
Rubens Chojniak ◽  
...  

2019 ◽  
Vol 2019 ◽  
pp. 1-6
Author(s):  
Ryo Igarashi ◽  
Atsushi Irisawa ◽  
Manoop S. Bhutani ◽  
Irina M. Cazacu ◽  
Goro Shibukawa ◽  
...  

Background and Objectives. Recently, a 21G Menghini-type needle for EUS-guided fine-needle aspiration biopsy (EUS-FNAB) has been developed. The stylet of the EUS Sonopsy CY™ remains inside the needle during aspiration. Therefore, it is expected to obtain higher-quality histological core specimens without crushing the material or blood contamination. The aim of this study is to evaluate the feasibility and diagnostic accuracy of EUS-FNAB of solid pancreatic masses with this new biopsy needle. Methods. A total of 30 patients with solid pancreatic masses who underwent EUS-FNAB with two different types of needles, EUS Sonopsy™ and ProCore™, were included in a prospective, randomized, controlled, crossover study. All the pancreatic masses were punctured with the two needles and were randomized regarding the order of the needle to be used. The primary outcome was to compare the diagnostic accuracy and the rates of tissue acquisition of the two needles. Results. The tissue acquisition rate was not significantly different between the EUS Sonopsy CY™ needle and the ProCore™ needle (78.6% vs. 82.1%, P=1.00). The histological diagnostic accuracy was also similar between the two needles (73% vs. 80%, P=.63). There was also no difference regarding the accuracy of cytology alone and the combination of both histological and cytological assessments between the EUS Sonopsy CY™ needle and the ProCore™ needle (90% vs. 87%, P=1.00 and 90% vs. 90%, P=1.00, respectively). Conclusions. EUS Sonopsy CY™ is a reliable device for EUS-FNAB of solid pancreatic masses.


2018 ◽  
Vol 11 (1) ◽  
Author(s):  
Marrium Asim ◽  
Ghazala Mudassir ◽  
Atif Ali Hashmi ◽  
Mariam Abid ◽  
Ahmareen Khalid Sheikh ◽  
...  

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