Feasibility of Ex Vivo Margin Assessment with Hyperspectral Imaging during Breast-Conserving Surgery: From Imaging Tissue Slices to Imaging Lumpectomy Specimen
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...
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MDPI AG
2021-09-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/19/8881 |
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| author | Esther Kho Behdad Dashtbozorg Joyce Sanders Marie-Jeanne T. F. D. Vrancken Peeters Frederieke van Duijnhoven Henricus J. C. M. Sterenborg Theo J. M. Ruers |
| author_facet | Esther Kho Behdad Dashtbozorg Joyce Sanders Marie-Jeanne T. F. D. Vrancken Peeters Frederieke van Duijnhoven Henricus J. C. M. Sterenborg Theo J. M. Ruers |
| author_sort | Esther Kho |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T07:06:38Z |
| format | Article |
| id | doaj.art-5574ce68113249c98daded165d562883 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T07:06:38Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-5574ce68113249c98daded165d5628832023-11-22T15:44:25ZengMDPI AGApplied Sciences2076-34172021-09-011119888110.3390/app11198881Feasibility of Ex Vivo Margin Assessment with Hyperspectral Imaging during Breast-Conserving Surgery: From Imaging Tissue Slices to Imaging Lumpectomy SpecimenEsther Kho0Behdad Dashtbozorg1Joyce Sanders2Marie-Jeanne T. F. D. Vrancken Peeters3Frederieke van Duijnhoven4Henricus J. C. M. Sterenborg5Theo J. M. Ruers6Department of Surgery, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The NetherlandsDepartment of Surgery, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The NetherlandsDepartment of Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The NetherlandsDepartment of Surgery, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The NetherlandsDepartment of Surgery, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The NetherlandsDepartment of Surgery, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The NetherlandsDepartment of Surgery, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The NetherlandsDeveloping 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.https://www.mdpi.com/2076-3417/11/19/8881hyperspectral imagingsurgical margin assessmentdiffuse reflectancepenetration depthtissue classificationbreast surgery |
| spellingShingle | Esther Kho Behdad Dashtbozorg Joyce Sanders Marie-Jeanne T. F. D. Vrancken Peeters Frederieke van Duijnhoven Henricus J. C. M. Sterenborg Theo J. M. Ruers Feasibility of Ex Vivo Margin Assessment with Hyperspectral Imaging during Breast-Conserving Surgery: From Imaging Tissue Slices to Imaging Lumpectomy Specimen Applied Sciences hyperspectral imaging surgical margin assessment diffuse reflectance penetration depth tissue classification breast surgery |
| title | Feasibility of Ex Vivo Margin Assessment with Hyperspectral Imaging during Breast-Conserving Surgery: From Imaging Tissue Slices to Imaging Lumpectomy Specimen |
| title_full | Feasibility of Ex Vivo Margin Assessment with Hyperspectral Imaging during Breast-Conserving Surgery: From Imaging Tissue Slices to Imaging Lumpectomy Specimen |
| title_fullStr | Feasibility of Ex Vivo Margin Assessment with Hyperspectral Imaging during Breast-Conserving Surgery: From Imaging Tissue Slices to Imaging Lumpectomy Specimen |
| title_full_unstemmed | Feasibility of Ex Vivo Margin Assessment with Hyperspectral Imaging during Breast-Conserving Surgery: From Imaging Tissue Slices to Imaging Lumpectomy Specimen |
| title_short | Feasibility of Ex Vivo Margin Assessment with Hyperspectral Imaging during Breast-Conserving Surgery: From Imaging Tissue Slices to Imaging Lumpectomy Specimen |
| title_sort | feasibility of ex vivo margin assessment with hyperspectral imaging during breast conserving surgery from imaging tissue slices to imaging lumpectomy specimen |
| topic | hyperspectral imaging surgical margin assessment diffuse reflectance penetration depth tissue classification breast surgery |
| url | https://www.mdpi.com/2076-3417/11/19/8881 |
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