Tumor response to neo-adjuvant chemotherapy for breast cancer: dependent on texture features
碩士 === 東海大學 === 資訊工程學系 === 104 === Tumor vascularity, an important factor correlated with tumor malignancy, would be used to evaluate the effect of the neo-adjuvant chemotherapy prior to surgery. Matrix, cells and a material into a tumor, would press blood vessels shut, preventing them from deliveri...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/s76ns8 |
| Summary: | 碩士 === 東海大學 === 資訊工程學系 === 104 === Tumor vascularity, an important factor correlated with tumor malignancy, would be used to evaluate the effect of the neo-adjuvant chemotherapy prior to surgery. Matrix, cells and a material into a tumor, would press blood vessels shut, preventing them from delivering anticancer drugs in many parts of the mass. The matrix causes trouble in ways that do not involve oxygen deprivation and reduced drug delivery. This study aims to identify the textural patterns of breast tumor on 3D ultrasound imaging, and the effort is devoted on finding indices that are capable of discriminating among clinical tumor responses. Textural features from ultrasound imaging are extracted as early predictors for evaluating chemotherapy effects. The decision tree classification model with all characteristics is employed as a response predictor to neo-adjuvant chemotherapy for breast cancer.
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