本文關(guān)鍵詞：VTI平均光密度值在乳腺BI-RADS分類校正中的應(yīng)用　出處：《中國超聲醫(yī)學(xué)雜志》2017年06期 　論文類型：期刊論文

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【摘要】：目的評價乳腺腫塊的VTI平均光密度值技術(shù)在校正乳腺影像學(xué)報告與數(shù)據(jù)系統(tǒng)(BI-RADS)分類中的臨床應(yīng)用價值。方法對經(jīng)病理證實的173例患者181個乳腺腫塊,行常規(guī)及彩色多普勒超聲檢查、進(jìn)行BI-RADS分類、VTI成像,再應(yīng)用Image J軟件測量VTI模式下腫塊的平均光密度值,并對BI-RADS分類做出調(diào)整,分析其診斷價值。結(jié)果常規(guī)BI-RADS分類、VTI平均光密度值及校正后BI-RADS分類鑒別診斷乳腺良惡性病灶的靈敏度為100%(74/74)、86.5%(64/74)、97.3%(72/74),特異度為51.4%(55/107)、77.6%(83/107)、72.9%(78/107),準(zhǔn)確度為71.3%(129/181)、81.2%(147/181)、82.9%(150/181)。結(jié)論 VTI平均光密度值技術(shù)對乳腺腫瘤的良惡性鑒別具有重要的臨床應(yīng)用價值,校正后BI-RADS分類較常規(guī)BI-RADS分類顯著提高了診斷的特異度、準(zhǔn)確度,且可減少不必要的穿刺活檢。
[Abstract]:Objective to evaluate the application of VTI mean optical density in the correction of breast imaging reporting and data system (BI-RADS). Methods 181 breast masses in 173 patients confirmed by pathology were selected. Routine and color Doppler ultrasonography were performed to evaluate the mean optical density of the mass in VTI mode by using Image J software. BI-RADS classification was adjusted to analyze its diagnostic value. Results conventional BI-RADS classification. The sensitivity of VTI average optical density and corrected BI-RADS classification in the differential diagnosis of benign and malignant breast lesions was 100 / 74 / 74 / 86. 5 / 74). 97.3 / 72 / 74, with a specificity of 51.4 / 107 / 77.6 / 83.3 / 107.70 / 72.9 / 10 / 7 / 78 / 107). The accuracy is 71.3 / 121 / 81.2 / 141 / 181). Conclusion the technique of VTI mean optical density has important clinical value in differentiating benign and malignant breast tumors. Compared with the conventional BI-RADS classification, the corrected BI-RADS classification improved the specificity and accuracy of diagnosis, and reduced the unnecessary puncture biopsy.
【作者單位】： 安徽醫(yī)科大學(xué)附屬省立醫(yī)院超聲科;
【基金】：安徽省科技廳基金資助項目(No.1401045018) 安徽省高等學(xué)校省級自然科學(xué)研究項目(No.KJ2013Z151)
【分類號】：R445.1;R737.9
【正文快照】： ARFI包括VTI技術(shù)和VTQ技術(shù),已經(jīng)有眾多作者證實了ARFI對乳腺病灶的診斷價值[1-2]。然而,VTQ技術(shù)測量的剪切波速度值常顯示為×.××cm/s,限制了在臨床應(yīng)用中的有效性[3]。Imaging　J是一種光密度分析軟件,應(yīng)用于VTI圖像中可以定 量、較客觀的分析病灶的生物力學(xué)特性。目前,僅，

本文編號：1378497