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首页> 外文期刊>Diagnostic cytopathology >Utility of fine-needle aspiration as a diagnostic technique in breast lumps.
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Utility of fine-needle aspiration as a diagnostic technique in breast lumps.

机译:细针抽吸术可作为乳房肿块的诊断技术。

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Fine-needle aspiration cytology (FNAC) is a simple, accurate, and safe procedure for the diagnosis of palpable breast lumps. The purpose of this study is to emphasis the utilization of FNAC in the Sudan and to evaluate our experience to identify the types of various breast lesions. A one year descriptive longitudinal study was conducted in Khartoum, Sudan. We obtained information (patient's personal data) and Fine-Needle Aspiration (FNA) samples, for 200 patients with palpable breast lesions. Subsequent tissue biopsies were taken from 131 patients of the 200 studied patients. Data were analyzed using a computer's SPSS program. Pearson chi-square test was used for statistical analyses. The diagnoses of the 200 breast FNAs were as follows: 61 (30.5%) were malignant, 5 (2.5%) were suspicious, and 134 (67%) were benign lesions. Subsequent histopathological examination was performed on 61 (100%) patients with malignant lesions, 5 (100%) of suspicious, and 65 (48.5%) patients of 134 patients with benign lesions. FNAC revealed a 92.6% sensitivity, a 95.2% specificity, a 95.5% positive predictive value, and a 92.2% negative predictive value. Of the 65 benign cases on cytology, five cases were found malignant on histopathology. FNAC of breast lesions is sensitive, specific, and highly accurate as the initial investigation of palpable breast lesions in a population of low resources and without screening program to diagnose breast cancer. We consequently encourage clinicians to embrace this procedure in the management of patients.
机译:细针穿刺细胞学检查(FNAC)是诊断可触及的乳房肿块的简单,准确和安全的程序。这项研究的目的是强调在苏丹使用FNAC,并评估我们的经验以确定各种乳腺病变的类型。在苏丹喀土穆进行了为期一年的描述性纵向研究。我们获得了200例可触及的乳腺病变患者的信息(患者的个人数据)和细针抽吸(FNA)样本。随后从200名研究患者中的131名患者中进行了组织活检。使用计算机的SPSS程序分析数据。皮尔逊卡方检验用于统计分析。 200例乳腺FNA的诊断如下:恶性肿瘤61例(30.5%),可疑5例(2.5%),良性病变134例(67%)。随后对134例良性病变的61例(100%)恶性病变,5例(100%)的可疑病变和65例(48.5%)的患者进行了组织病理学检查。 FNAC显示出92.6%的敏感性,95.2%的特异性,95.5%的阳性预测值和92.2%的阴性预测值。在细胞学的65例良性病例中,有5例在组织病理学上发现为恶性。乳腺病变的FNAC灵敏度高,特异性强,准确性高,这是在资源贫乏且没有筛查乳腺癌诊断程序的人群中可触及的乳腺病变的初步调查。因此,我们鼓励临床医生在患者管理中采用此程序。

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