2014
DOI: 10.1159/000362805
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Liquid-Based Cytology in Fine-Needle Aspiration of Breast Lesions: A Review

Abstract: Objective: Fine-needle aspiration (FNA) is a safe and cost-effective technique for the diagnosis of breast lesions, especially when correlated with clinical and imaging studies. However, the success of breast FNA is highly dependent on the adequate preparation of cytological conventional smears (CS). The liquid-based cytology (LBC) technique consists of an automated method for preparing thin-layer cytological samples from cell suspensions collected in alcohol-based preservative. LBC is designed to improve CS b… Show more

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Cited by 47 publications
(45 citation statements)
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References 40 publications
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“…A cytopathologist performing and then interpreting the smears is at a great advantage to reach an accurate diagnosis [16, 25-27]. Liquid-based cytology has been utilized quite successfully but is more costly and many key diagnostic cytological findings are lost [28]. …”
Section: Introductionmentioning
confidence: 99%
“…A cytopathologist performing and then interpreting the smears is at a great advantage to reach an accurate diagnosis [16, 25-27]. Liquid-based cytology has been utilized quite successfully but is more costly and many key diagnostic cytological findings are lost [28]. …”
Section: Introductionmentioning
confidence: 99%
“…[6] The sensitivity and specificity of FNAC as a diagnostic tool for palpable breast lumps are 65-99% and 96-100% respectively. [7] Usually when the size of the breast lump exceeds 2.0 cm it becomes clinically palpable. With increase in age of patient the tendency of being malignant of breast lumps increases.…”
Section: Introductionmentioning
confidence: 99%
“…Perez-Reyes et al 19 employed split sampling technique where they divided the aspirate into two halves, one for LBC and the other for CS, hence in their study the cellularity of LBC was inferior to CS. Gerhard R et al 22 observed that the number of passes performed and the skills of the person performing the procedure determine the quality and cellularity of the samples.…”
Section: Cellularitymentioning
confidence: 99%