Abstract
Developing algorithms for analyzing hyperspectral images as an intraoperative tool for margin assessment during breast-conserving surgery requires a dataset with reliable histopathologic labels. The feasibility of using tissue slices hyperspectral dataset with a high correlation with histopathology for developing an algorithm for analyzing the images from the surface of lumpectomy specimens was investigated. We presented a method to acquire hyperspectral images from the lumpectomy surface with a high correlation with histopathology. The tissue slices dataset was compared with the dataset obtained on lumpectomy specimen and the wavelengths with a penetration depth up to the minimum sample thickness of the tissue slices were used to develop a tissue classification algorithm. Spectral differences were observed between tissue slices and lumpectomy datasets due to differences in the sample thickness between both datasets; wavelengths with a high penetration depth were able to penetrate through the thinner tissue slices, affecting the captured signal. By using only wavelengths with a penetration depth up to the minimum sample thickness of the tissue slices, the adipose tissue could be discriminated from other tissue types, but differentiating malignant from connective tissue was more challenging.
Highlights
Breast-conserving surgery in combination with adjuvant radiotherapy is the preferred local treatment for women with breast cancer [1,2,3]
A limited number of invasive carcinoma (IC) and ductal carcinoma in situ (DCIS) was measured in the lumpectomy dataset because of the limited number of tumor-positive resection margins
When investigating the potential of hyperspectral imaging for intraoperative breast cancer detection, it is challenging to image the actual resection surface to allow for intraoperative feedback while obtaining a high correlation with histopathology
Summary
Breast-conserving surgery in combination with adjuvant radiotherapy is the preferred local treatment for women with breast cancer [1,2,3] During these surgeries, surgeons aim to remove the complete tumor while sparing as much healthy tissue as possible. A pathologist evaluates if the tumor is completely removed by analyzing the resection margin of the lumpectomy specimen under a microscope As this involves extensive processing of the tissue, this requires a few days and no direct feedback can be given to the surgeon during surgery. These patients require a second operation or extra radiotherapy boost to clear tumor deposits left behind during the initial procedure
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