{"title":"Front Matter: Volume 10856","authors":"M. Skala, P. Campagnola, D. Roblyer","doi":"10.1117/12.2531192","DOIUrl":"https://doi.org/10.1117/12.2531192","url":null,"abstract":"","PeriodicalId":320907,"journal":{"name":"Diseases in the Breast and Reproductive System V","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133646955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Boer, E. Kho, F. Duijnhoven, M. Peeters, K. Vijver, B. Hendriks, H. Sterenborg, T. Ruers
In 10 to 40% of breast cancer patients treated with breast conserving surgery, ductal carcinoma in situ (DCIS) or invasive carcinoma (IC) is present at the margin of the specimen. Diffuse Reflectance Spectroscopy (DRS) could potentially help the surgeon during surgery in avoiding these tumor positive resection margins. Here we assess the feasibility of DRS for discriminating healthy breast tissue from tumor. For this purpose, DRS measurements (400-1600nm) were obtained in 71 breast specimens. A custom-made grid was placed on top of a slice of the resection specimen to accurately correlate the DRS measurements with histopathology. To assess DRS for the discrimination between healthy and tumor tissue types, a support vector machine based classification algorithm was developed. A total of 1081 locations were included, of which 236 locations were considered homogenous (> 95% fat, connective tissue, IC, or DCIS) and 845 locations consisted of a mixture of tissue types. The spectra of pure DCIS locations were similar to the spectra of pure IC, suggesting that these tissue types could not be separated based on their spectra. In a first analysis it was found that locations of pure fat, pure connective, and pure tumor tissue (both DCIS and IC) could be discriminated with accuracies of 0.95, 0.95, and 0.79 respectively. Classification of mixture locations was more challenging. The accuracy for tumor detection depends on the amount of tumor present in the measurement volume.These results indicate that DRS can potentially be used for the detection of tumor at the resection margin.
{"title":"Towards detection of positive resection margins with diffuse reflectance spectroscopy during breast conserving surgery (Conference Presentation)","authors":"L. Boer, E. Kho, F. Duijnhoven, M. Peeters, K. Vijver, B. Hendriks, H. Sterenborg, T. Ruers","doi":"10.1117/12.2508442","DOIUrl":"https://doi.org/10.1117/12.2508442","url":null,"abstract":"In 10 to 40% of breast cancer patients treated with breast conserving surgery, ductal carcinoma in situ (DCIS) or invasive carcinoma (IC) is present at the margin of the specimen. Diffuse Reflectance Spectroscopy (DRS) could potentially help the surgeon during surgery in avoiding these tumor positive resection margins. Here we assess the feasibility of DRS for discriminating healthy breast tissue from tumor. \u0000\u0000For this purpose, DRS measurements (400-1600nm) were obtained in 71 breast specimens. A custom-made grid was placed on top of a slice of the resection specimen to accurately correlate the DRS measurements with histopathology. To assess DRS for the discrimination between healthy and tumor tissue types, a support vector machine based classification algorithm was developed. \u0000\u0000A total of 1081 locations were included, of which 236 locations were considered homogenous (> 95% fat, connective tissue, IC, or DCIS) and 845 locations consisted of a mixture of tissue types. The spectra of pure DCIS locations were similar to the spectra of pure IC, suggesting that these tissue types could not be separated based on their spectra. In a first analysis it was found that locations of pure fat, pure connective, and pure tumor tissue (both DCIS and IC) could be discriminated with accuracies of 0.95, 0.95, and 0.79 respectively. Classification of mixture locations was more challenging. The accuracy for tumor detection depends on the amount of tumor present in the measurement volume.\u0000\u0000These results indicate that DRS can potentially be used for the detection of tumor at the resection margin.","PeriodicalId":320907,"journal":{"name":"Diseases in the Breast and Reproductive System V","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126207244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Kho, L. Boer, K. Vijver, H. Sterenborg, T. Ruers
Real-time intra-operative resection margin assessment during breast-conserving surgery (BCS) is important to prevent incomplete tumor removal. Nowadays, in up to 37% of the women undergoing BCS, tumor positive margin are found after surgery. We test the feasibility of hyperspectral imaging to predict these positive margins in fresh lumpectomy specimens, to prevent incomplete tumor removal.Hyperspectral diffuse reflectance images (900-1700 nm) were collected on fresh lumpectomy specimens. These specimens were obtained from women undergoing primary BCS, that did not get neo-adjuvant treatment. To ensure hyperspectral images of the entire resection surface, we treated the specimen as a cube and imaged it from six different sides. Next, a SVM classification algorithm, which we developed and tested with a different dataset, was applied to these hyperspectral images to predict positive margins. Finally, we compared the margin assessment performed with hyperspectral imaging with histopathology, the gold standard for margin assessment.It was found that hyperspectral imaging could be used in the clinical workflow. First, data acquisition of the entire resection side was fast and took only 20 seconds per resection side. Second, with the earlier developed classification algorithm, data analysis could be performed in the operating theater in limited amount of time. Third, with hyperspectral imaging we were able to find 12 out of 13 positive resection sides. The one positive resection side that was missed contained a single malignant pocket smaller than 1 mm2. These preliminary findings make hyperspectral imaging a promising technique for resection margin assessment during BCS.
{"title":"Hyperspectral imaging for tumor detection in the resection surface of fresh lumpectomy specimens (Conference Presentation)","authors":"E. Kho, L. Boer, K. Vijver, H. Sterenborg, T. Ruers","doi":"10.1117/12.2508323","DOIUrl":"https://doi.org/10.1117/12.2508323","url":null,"abstract":"Real-time intra-operative resection margin assessment during breast-conserving surgery (BCS) is important to prevent incomplete tumor removal. Nowadays, in up to 37% of the women undergoing BCS, tumor positive margin are found after surgery. We test the feasibility of hyperspectral imaging to predict these positive margins in fresh lumpectomy specimens, to prevent incomplete tumor removal.\u0000Hyperspectral diffuse reflectance images (900-1700 nm) were collected on fresh lumpectomy specimens. These specimens were obtained from women undergoing primary BCS, that did not get neo-adjuvant treatment. To ensure hyperspectral images of the entire resection surface, we treated the specimen as a cube and imaged it from six different sides. Next, a SVM classification algorithm, which we developed and tested with a different dataset, was applied to these hyperspectral images to predict positive margins. Finally, we compared the margin assessment performed with hyperspectral imaging with histopathology, the gold standard for margin assessment.\u0000It was found that hyperspectral imaging could be used in the clinical workflow. First, data acquisition of the entire resection side was fast and took only 20 seconds per resection side. Second, with the earlier developed classification algorithm, data analysis could be performed in the operating theater in limited amount of time. Third, with hyperspectral imaging we were able to find 12 out of 13 positive resection sides. The one positive resection side that was missed contained a single malignant pocket smaller than 1 mm2. These preliminary findings make hyperspectral imaging a promising technique for resection margin assessment during BCS.","PeriodicalId":320907,"journal":{"name":"Diseases in the Breast and Reproductive System V","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131094752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Kurachi, N. Inada, L. Moriyama, V. Bagnato, Cynthia Aparecida de Castro, Renata Belotto, W. Lombardi
{"title":"Strategies for an improved PDT for cervix (Conference Presentation)","authors":"C. Kurachi, N. Inada, L. Moriyama, V. Bagnato, Cynthia Aparecida de Castro, Renata Belotto, W. Lombardi","doi":"10.1117/12.2514616","DOIUrl":"https://doi.org/10.1117/12.2514616","url":null,"abstract":"","PeriodicalId":320907,"journal":{"name":"Diseases in the Breast and Reproductive System V","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133737235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zeinab Hajjarian Kashany, E. Brachtel, D. Tshikudi, S. Nadkarni
{"title":"Optical micro-mechanical mapping for studying the mechanobiology of breast cancer progression (Conference Presentation)","authors":"Zeinab Hajjarian Kashany, E. Brachtel, D. Tshikudi, S. Nadkarni","doi":"10.1117/12.2510124","DOIUrl":"https://doi.org/10.1117/12.2510124","url":null,"abstract":"","PeriodicalId":320907,"journal":{"name":"Diseases in the Breast and Reproductive System V","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125163386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wes M. Allen, Renate Zilkens, Ken Y. Foo, Qi Fang, L. Chin, R. Sanderson, J. Anstie, S. Chin, B. Dessauvagie, B. Latham, C. Saunders, B. Kennedy, Kelsey M. Kennedy
{"title":"An assessment of OCT plus micro-elastography for detection of close tumor margins following breast-conserving surgery\u0000 (Conference Presentation)","authors":"Wes M. Allen, Renate Zilkens, Ken Y. Foo, Qi Fang, L. Chin, R. Sanderson, J. Anstie, S. Chin, B. Dessauvagie, B. Latham, C. Saunders, B. Kennedy, Kelsey M. Kennedy","doi":"10.1117/12.2510588","DOIUrl":"https://doi.org/10.1117/12.2510588","url":null,"abstract":"","PeriodicalId":320907,"journal":{"name":"Diseases in the Breast and Reproductive System V","volume":"74 S332","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113954221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yueqiao Qu, Youmin He, Joseph C. Jing, Zhongping Chen
Oviduct and fallopian tube cilia serve as the primary means of tubal transport in the human reproductive system, with ciliated cells increasing from the isthmus to the infundibulum portions. Ciliary health is directly related to reproductive conditions such as tubal infertility and ectopic pregnancy. The ciliary beat frequency (CBF) changes over the ovarian cycle and is affected by both hormonal and neuronal stimuli, but is poorly understood in the natural environment due to limitations in current technology. Current techniques to measure ciliary beat frequency include high-speed video imaging, video microscopy, and optical methods, but access to minimally invasive in vivo imaging remains a challenge. A technology that enables the high-speed, high resolution, in-vivo imaging of the oviduct is essential for gaining insight into the natural ciliary activity in the oviduct, as well as the changes that take place with reproductive diseases. In this study, we report on the development of a spectrally-encoded interferometric microscopy (SEIM) system to visualize and analyze the spatial CBF of porcine oviduct cilia. We demonstrate the change in CBF from (7 to 12 Hz) that occurs under different temperature conditions from 23 to 29 degrees as well as the effects of lidocaine, where synchronized ciliary motion is disrupted. In addition, we examine the differences in ciliary activity between the infundibulum and ampulla portions of the fallopian tube. The results show that the SEIM system has the feasibility to detect CBF and ciliary acitivity in ex-vivo tissues with the potential to translate to minimally invasive in-vivo imaging.
{"title":"Characterization of oviduct ciliary beat frequency using spectrally encoded interferometric microscopy (Conference Presentation)","authors":"Yueqiao Qu, Youmin He, Joseph C. Jing, Zhongping Chen","doi":"10.1117/12.2508771","DOIUrl":"https://doi.org/10.1117/12.2508771","url":null,"abstract":"Oviduct and fallopian tube cilia serve as the primary means of tubal transport in the human reproductive system, with ciliated cells increasing from the isthmus to the infundibulum portions. Ciliary health is directly related to reproductive conditions such as tubal infertility and ectopic pregnancy. The ciliary beat frequency (CBF) changes over the ovarian cycle and is affected by both hormonal and neuronal stimuli, but is poorly understood in the natural environment due to limitations in current technology. Current techniques to measure ciliary beat frequency include high-speed video imaging, video microscopy, and optical methods, but access to minimally invasive in vivo imaging remains a challenge. A technology that enables the high-speed, high resolution, in-vivo imaging of the oviduct is essential for gaining insight into the natural ciliary activity in the oviduct, as well as the changes that take place with reproductive diseases. In this study, we report on the development of a spectrally-encoded interferometric microscopy (SEIM) system to visualize and analyze the spatial CBF of porcine oviduct cilia. We demonstrate the change in CBF from (7 to 12 Hz) that occurs under different temperature conditions from 23 to 29 degrees as well as the effects of lidocaine, where synchronized ciliary motion is disrupted. In addition, we examine the differences in ciliary activity between the infundibulum and ampulla portions of the fallopian tube. The results show that the SEIM system has the feasibility to detect CBF and ciliary acitivity in ex-vivo tissues with the potential to translate to minimally invasive in-vivo imaging.","PeriodicalId":320907,"journal":{"name":"Diseases in the Breast and Reproductive System V","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122122182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. O’Sullivan, A. Leproux, George P Philipopoulos, Wen‐Pin Chen, C. McLaren, Freddie J. Combs, D. Wisner, M. Su, B. Tromberg
Several studies have demonstrated that hormone-blocking therapies are more effective at reducing breast cancer risk in women who exhibit >10% reduction in breast density compared to women who had little or no density change, suggesting that breast density is a predictor of tamoxifen effectiveness. The goal of this prospective study was to assess whether diffuse optical spectroscopic imaging (DOSI) can measure the changes in breast composition under adjuvant tamoxifen treatment for breast cancer. The primary aim was to determine whether the change in the DOSI measurement of water correlates with the change in the MRI-derived quantitative measurement of breast density after 18 months of treatment in the contralateral normal breast of subjects receiving tamoxifen. Pre-menopausal subjects receiving tamoxifen (N=11 total, N=9 analyzable) and controls (N=18 total, N=15 analyzable) were enrolled and measured with co-registered DOSI and non-contrast MRI before, and 6, 12 and 18 months after beginning tamoxifen. Across all subjects, baseline MRI fibroglandular density correlated strongly with DOSI water (r=0.86, p<0.001), moderately with lipid (r=-0.63, p=0.001), and weakly with oxyhemoglobin (r=0.55, p=0.005) and deoxyhemoglobin (r=0.42, p=0.040) concentrations. Generalized estimating equation analysis revealed significant longitudinal differences between treated subjects and controls in the percentage change of MRI fibroglandular density (at 6 and 12 mo. timepoints), DOSI water (12 and 18 mo.), DOSI lipid (6, 12 and 18 mo.) Overall the data suggest that DOSI is sensitive to tamoxifen-induced changes in the human breast, and should be investigated further as a low-cost and low-risk means to predict response to tamoxifen treatment.
{"title":"Broadband diffuse optical imaging of tamoxifen-induced changes in breast composition and metabolism (Conference Presentation)","authors":"T. O’Sullivan, A. Leproux, George P Philipopoulos, Wen‐Pin Chen, C. McLaren, Freddie J. Combs, D. Wisner, M. Su, B. Tromberg","doi":"10.1117/12.2509531","DOIUrl":"https://doi.org/10.1117/12.2509531","url":null,"abstract":"Several studies have demonstrated that hormone-blocking therapies are more effective at reducing breast cancer risk in women who exhibit >10% reduction in breast density compared to women who had little or no density change, suggesting that breast density is a predictor of tamoxifen effectiveness. The goal of this prospective study was to assess whether diffuse optical spectroscopic imaging (DOSI) can measure the changes in breast composition under adjuvant tamoxifen treatment for breast cancer. \u0000\u0000The primary aim was to determine whether the change in the DOSI measurement of water correlates with the change in the MRI-derived quantitative measurement of breast density after 18 months of treatment in the contralateral normal breast of subjects receiving tamoxifen. Pre-menopausal subjects receiving tamoxifen (N=11 total, N=9 analyzable) and controls (N=18 total, N=15 analyzable) were enrolled and measured with co-registered DOSI and non-contrast MRI before, and 6, 12 and 18 months after beginning tamoxifen. Across all subjects, baseline MRI fibroglandular density correlated strongly with DOSI water (r=0.86, p<0.001), moderately with lipid (r=-0.63, p=0.001), and weakly with oxyhemoglobin (r=0.55, p=0.005) and deoxyhemoglobin (r=0.42, p=0.040) concentrations. Generalized estimating equation analysis revealed significant longitudinal differences between treated subjects and controls in the percentage change of MRI fibroglandular density (at 6 and 12 mo. timepoints), DOSI water (12 and 18 mo.), DOSI lipid (6, 12 and 18 mo.) Overall the data suggest that DOSI is sensitive to tamoxifen-induced changes in the human breast, and should be investigated further as a low-cost and low-risk means to predict response to tamoxifen treatment.","PeriodicalId":320907,"journal":{"name":"Diseases in the Breast and Reproductive System V","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132612035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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