转化生物医学

  • 国际标准期刊号: 2172-0479
  • 期刊 h 指数: 16
  • 期刊引用分数: 5.91
  • 期刊影响因子: 3.66
索引于
  • 打开 J 门
  • Genamics 期刊搜索
  • 期刊目录
  • 研究圣经
  • 全球影响因子 (GIF)
  • 中国知网(CNKI)
  • 引用因子
  • 西马戈
  • 电子期刊图书馆
  • 研究期刊索引目录 (DRJI)
  • OCLC-WorldCat
  • 普罗奎斯特传票
  • 普布隆斯
  • 米亚尔
  • 大学教育资助委员会
  • 日内瓦医学教育与研究基金会
  • 谷歌学术
  • 夏尔巴罗密欧
  • 秘密搜索引擎实验室
  • 研究之门
分享此页面

抽象的

The Cole Relaxation Frequency as a Parameter to Identify and Spatially Map Cancer in Breast Tissue: Preliminary In Vivo Patient Study

William D Gregory, Shahila Mehboob Christie, Christopher W Gregory, James J Marx, John Shell and Wendy Mikkelson

We have previously reported successful classification of breast cancer vs. benign breast tissue using Cole Relaxation Frequency (CRF) values calculated from impedance measurements on ex-vivo breast tissue samples at the time of surgery. Subsequent analysis of outcomes from follow-up medical visits of patients from this cohort provided evidence that the CRF values measured for tissue determined to be cancerous at the time of surgery correlated well with three possible outcomes for the patients (No Recurrence of Cancer; Recurrence with No Metastasis; and Recurrence with Metastasis). We present here data from a small (n=50) IRB approved study to classify and spatially map cancer and benign regions in the breast in vivo. Apparatus consisting of two parallel plates mounted on a conventional mammography gantry was used for these measurements. A portion of one of the plates was arranged in a 16 × 16 array of 256 separate regions for measuring the constant voltage impedance sampled at each electrode. Utilizing the patients’ pathology and radiology reports we found that the procedure correctly classified benign breast disease or cancer (including invasive and non-invasive ductal or lobular carcinoma) at the location of a suspicious mass, without apparent interference from density of the breast tissue. This approach was shown to be useful for identifying and spatially mapping electrically anomalous regions using the CRF as the classifier.

免责声明: 此摘要通过人工智能工具翻译,尚未经过审核或验证