Complementary use of polarization-sensitive and standard OCT metrics for enhanced intraoperative differentiation of breast cancer

Wang, Jianfeng; Xu, Yang; Mesa, Kelly J.; South, Fredrick A.; Chaney, Eric J.; Spillman, Darold R.; Barkalifa, Ronit; Marjanović, Marina; Carney, P. Scott; Higham, Anna; Liu, Z. George; Boppart, Stephen A.

doi:10.1364/boe.9.006519

Cited by 33 publications

(24 citation statements)

References 31 publications

(32 reference statements)

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“…The measurement bias between the en-face birefringence map and histology is only 185 ± 121 µm in our study. Although we cannot claim that the en-face birefringence map can predict tumor margin accurately in this study, this result still inspires the potential use of PS-OCT to define tumor margins in the future, as has been done in studies of breast cancer [ 29 , 30 ].…”

Section: Discussionmentioning

confidence: 74%

Detection of Oral Dysplastic and Early Cancerous Lesions by Polarization-Sensitive Optical Coherence Tomography

Chen

Lee²,

Chen³

et al. 2020

Cancers

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Detection of oral dysplastic and early-stage cancerous lesions is difficult with the current tools. Half of oral cancers are diagnosed in a late stage. Detection of early stromal change to predict malignant transformation is a new direction in the diagnosis of early-stage oral cancer. The application of new optical tools to image stroma in vivo is under investigation, and polarization-sensitive optical coherence tomography (PS-OCT) is potentially one of those tools. This is a preliminary study to sequentially image oral stromal changes from normal, hyperplasia, and dysplasia to early-stage cancer by PS-OCT in vivo. We used 4-Nitroquinoline-1-oxide drinking water to induce dysplasia and early-stage oral cancer in 19 K14-EGFP-miR-211-GFP transgenic mice. A total of 8 normal, 12 hyperplastic, 11 dysplastic, and 4 early-stage cancerous lesions were enrolled. A new analytic process of PS-OCT imaging was proposed, called an en-face birefringence map. From the birefringence map, the sensitivity, specificity, positive predictive value, and negative predictive values to detect dysplasia and early-stage cancer were 100.00%, 95.00%, 93.75%, and 100.00%, respectively, and the kappa value of these images between two investigators was 0.942. The mean size of malignant lesions detected in this study is 1.66 ± 0.93 mm. This pilot animal study validates the use of PS-OCT to detect small and early-stage oral malignancy with high accuracy and consistency.

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Section: Discussionmentioning

confidence: 74%

Detection of Oral Dysplastic and Early Cancerous Lesions by Polarization-Sensitive Optical Coherence Tomography

Chen

Lee²,

Chen³

et al. 2020

Cancers

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“…With various polarization-based technologies developed to probe structural and functional information of tissues, such as polarization-sensitive optical coherence tomography and Mueller polarimetric imaging, the latter has emerged as a prospective tool in diagnostic applications. 1,2 Studies have shown that optical polarization enhances the optical contrast required for effective differentiation. Further integration with existing optical instruments such as the endoscope makes polarimetric imaging suitable for in vivo applications.…”

Section: Introductionmentioning

confidence: 99%

Histopathological correlations of bulk tissue polarimetric images: Case study

Sharma

Sujatha

Balasubramanian

et al. 2021

Journal of Biophotonics

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Polarimetric imaging and image analysis have gained increased interest in soft tissue analysis at the cellular level. However, polarimetric imaging has widely been tested on thin tissue sections to provide reliable information correlated with histopathological findings. Polarimetric bulk tissue analysis always offered an overall assessment of various tissue optical properties for diagnosis. In this study, the histopathological correlation of bulk tissue polarimetry images for soft tissues is discussed. The first-hand information on the use of bulk tissue Mueller polarimetry and image analysis as an alternative to tissue histopathology is presented for surgically extracted colon and breast tissues.

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“…Polarization-sensitive OCT (PS-OCT) 1 has become an exceptionally useful imaging technique that complements the scattering intensity contrast in standard OCT systems and provides additional diagnostic information and guidance 2 – 7 . By analyzing the polarizations of the scattered light, PS-OCT imaging systems measure the birefringence within the imaged tissue sites, which is largely related to the orientation and organization of tissue structures.…”

Section: Introductionmentioning

confidence: 99%

“…It has also been shown that the additional polarization information provided by PS-OCT facilitates the visualization of unrecognizable features in OCT images 4 , 9 , 10 . In particular, PS-OCT has been used in clinical applications 2 , 6 – 8 to effectively differentiate cancer tissue and connective tissue based on their different birefringence, while these types of tissues appear very similar in standard OCT images.…”

Section: Introductionmentioning

confidence: 99%

“…While today’s standard OCT imaging system can fit into a briefcase 11 , most PS-OCT imaging systems require the use of multiple detectors as well as many polarization-manipulating optical components, which increase the cost and complexity of the imaging system 2 – 5 . Handheld probe integration is another major issue for PS-OCT systems because the bending of the fiber-optic delivery cable can often alter the polarization state in unpredictable ways, and introduce artifacts in the images.…”

Section: Introductionmentioning

confidence: 99%

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Synthetic polarization-sensitive optical coherence tomography by deep learning

et al. 2021

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Polarization-sensitive optical coherence tomography (PS-OCT) is a high-resolution label-free optical biomedical imaging modality that is sensitive to the microstructural architecture in tissue that gives rise to form birefringence, such as collagen or muscle fibers. To enable polarization sensitivity in an OCT system, however, requires additional hardware and complexity. We developed a deep-learning method to synthesize PS-OCT images by training a generative adversarial network (GAN) on OCT intensity and PS-OCT images. The synthesis accuracy was first evaluated by the structural similarity index (SSIM) between the synthetic and real PS-OCT images. Furthermore, the effectiveness of the computational PS-OCT images was validated by separately training two image classifiers using the real and synthetic PS-OCT images for cancer/normal classification. The similar classification results of the two trained classifiers demonstrate that the predicted PS-OCT images can be potentially used interchangeably in cancer diagnosis applications. In addition, we applied the trained GAN models on OCT images collected from a separate OCT imaging system, and the synthetic PS-OCT images correlate well with the real PS-OCT image collected from the same sample sites using the PS-OCT imaging system. This computational PS-OCT imaging method has the potential to reduce the cost, complexity, and need for hardware-based PS-OCT imaging systems.

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Complementary use of polarization-sensitive and standard OCT metrics for enhanced intraoperative differentiation of breast cancer

Cited by 33 publications

References 31 publications

Detection of Oral Dysplastic and Early Cancerous Lesions by Polarization-Sensitive Optical Coherence Tomography

Detection of Oral Dysplastic and Early Cancerous Lesions by Polarization-Sensitive Optical Coherence Tomography

Histopathological correlations of bulk tissue polarimetric images: Case study

Synthetic polarization-sensitive optical coherence tomography by deep learning

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