ArticleJournal of biomedical optics2019
Structured light imaging for breast-conserving surgery, part I: optical scatter and color analysis.
Article in Journal of biomedical optics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Depth-sensitive optical property characterization using multi-frequency laparoscopic spatial frequency domain imaging.Biomedical optics express · 2026Article
- Evaluating Receptor-Specific Fresh Specimen Staining for Tumor Margin Detection in Clinical Breast Specimens.Molecular imaging and biology · 2023Article
- Developing diagnostic assessment of breast lumpectomy tissues using radiomic and optical signatures.Scientific reports · 2021Article
- Optical scatter imaging of resected breast tumor structures matches the patterns of micro-computed tomography.Physics in medicine and biology · 2021Article
- Modeling and Synthesis of Breast Cancer Optical Property Signatures With Generative Models.IEEE transactions on medical imaging · 2021Article
- Active line scan with spatial gating for sub-diffuse reflectance imaging of scatter microtexture.Optics letters · 2020Article
- Structured light imaging for breast-conserving surgery, part II: texture analysis and classification.Journal of biomedical optics · 2019Article
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Authors and funding
7 authors.
Funding
Abstract
Structured light imaging (SLI) with high spatial frequency (HSF) illumination provides a method to amplify native tissue scatter contrast and better differentiate superficial tissues. This was investigated for margin analysis in breast-conserving surgery (BCS) and imaging gross clinical tissues from 70 BCS patients, and the SLI distinguishability was examined for six malignancy subtypes relative to three benign/normal breast tissue subtypes. Optical scattering images recovered were analyzed with five different color space representations of multispectral demodulated reflectance. Excluding rare combinations of invasive lobular carcinoma and fibrocystic disease, SLI was able to classify all subtypes of breast malignancy from surrounding benign tissues (p-value < 0.05) based on scatter and color parameters. For color analysis, HSF illumination of the sample generated more statistically significant discrimination than regular uniform illumination. Pathological information about lesion subtype from a presurgical biopsy can inform the search for malignancy on the surfaces of specimens during BCS, motivating the focus on pairwise classification analysis. This SLI modality is of particular interest for its potential to differentiate tissue classes across a wide field-of-view (∼100 cm2) and for its ability to acquire images of macroscopic tissues rapidly but with microscopic-level sensitivity to structural and morphological tissue constituents.
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Registered trials
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