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首页> 外文期刊>BMC Medical Imaging >Mapping breast tissue types by miniature radio-frequency near-field spectroscopy sensor in ex-vivo freshly excised specimens
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Mapping breast tissue types by miniature radio-frequency near-field spectroscopy sensor in ex-vivo freshly excised specimens

机译:通过微型射频近场光谱传感器在离体新鲜切除标本中绘制乳腺组织类型图

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Background Receiving real-time information on tissue properties while performing biopsy procedures has the potential of improving biopsy accuracy. The study goal was to test the ability of a miniature flexible Radio-Frequency (RF) sensor (Dune Medical Devices), designed to be mounted on the surface of surgical tools, in measuring and mapping the various breast tissue types and abnormalities in terms of electrical properties. Methods Between January and October 2012, 102 patients undergoing lumpectomy, open-biopsy or mastectomy, in 3 medical centers, were enrolled in this study. The device was applied to freshly excised specimens, with registration between device measurements and histology analysis. Based on histology, the dielectric properties of the various tissue types were derived. Additionally, the ability of the device to differentiate between malignant and non-malignant tissue was assessed. Results A total of 4322 measurements from 106 specimens from 102 patients were analyzed. The dielectric properties of 10 tissue types in the low RF-frequency range were measured, showing distinct differences between the various types. Based on the dielectric properties, a score variable was derived, which showed a correlation of 90?% between the RF measurements and the tissue types. Differentiation ability between tissue types was characterized using ROC curve analysis, with AUC of 0.96, and sensitivity and specificity of 90 and 91?% respectively, for tissue feature sizes at or above 0.8?mm. Conclusions Using a radio-frequency near-field spectroscopy miniature flexible sensor the dielectric properties of multiple breast tissue types, both normal and abnormal, were evaluated. The results show promise in differentiating between various breast tissue types, and specifically for differentiation between cancer and normal tissues.
机译:背景技术在执行活检程序时接收有关组织特性的实时信息具有改善活检准确性的潜力。研究目标是测试微型柔性射频(RF)传感器(Dune Medical Devices)的能力,该传感器被设计为安装在手术工具的表面上,以测量和标绘各种乳房组织类型和异常,电性能。方法2012年1月至2012年10月,在3个医疗中心对102例行肿块切除,开放活检或乳房切除术的患者进行了研究。将该装置应用于新鲜切除的标本,并在装置测量和组织学分析之间进行配准。基于组织学,得出了各种组织类型的介电性能。另外,评估了该装置区分恶性和非恶性组织的能力。结果共分析了102例患者的106份标本中的4322份测量值。在低RF频率范围内测量了10种组织类型的介电特性,显示出各种类型之间的明显差异。根据介电性能,得出一个得分变量,该得分变量在RF测量值和组织类型之间显示出90%的相关性。使用ROC曲线分析表征组织类型之间的区分能力,AUC为0.96,对于组织特征尺寸为0.8?mm或更高,敏感性和特异性分别为90%和91%。结论使用射频近场光谱微型柔性传感器评估了多种正常和异常乳腺组织的介电性能。结果表明,在区分各种乳腺组织类型方面,特别是在癌症和正常组织之间的区别方面,有希望。

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