ArticlePloS one2012
Noninvasive evaluation of nuclear morphometry in breast lesions using multispectral diffuse optical tomography.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- Real-Time Handheld Probe Tracking and Image Formation Using Digital Frequency-Domain Diffuse Optical Spectroscopy.IEEE transactions on bio-medical engineering · 2021Article
- Self-Organizing Maps for CellularFrontiers in immunology · 2021Article
- Clinical biomarkers for cancer recognition and prevention: A novel approach with optical measurements.Cancer biomarkers : section A of Disease markers · 2018Review
- Plum pudding random medium model of biological tissue toward remote microscopy from spectroscopic light scattering.Biomedical optics express · 2017Article
- Macroscopic optical physiological parameters correlate with microscopic proliferation and vessel area breast cancer signatures.Breast cancer research : BCR · 2015Article
- Article
- Gaussian random ellipsoid geometry-based morphometric recovery of irregular particles using light scattering spectroscopy.Journal of quantitative spectroscopy & radiative transfer · 2013Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Breast cancer is the most prevalent cancer and the main cause of cancer-related death in women worldwide. There are limitations associated with the existing clinical tools for breast cancer detection and alternative modalities for early detection and classification of breast cancer are urgently needed. Here we describe an optical imaging technique, called multispectral diffuse optical tomography (DOT), and demonstrate its ability of non-invasively evaluating nuclear morphometry for differentiating benign from malignant lesions. Photon densities along the surface of the breast were measured to allow for the extraction of three statistical parameters including the size, elongation and density of nuclei inside the breast tissue. The results from 14 patients (4 malignant and 10 benign lesions) show that there exist significant contrasts between the diseased and surrounding normal nuclei and that the recovered nuclear morphological parameters agree well the pathological findings. We found that the nuclei of cancer cells were less-spherical compared with those of surrounding normal cells, while the nuclear density or volume fraction provided the highest contrast among the three statistical parameters recovered. This pilot study demonstrates the potential of multispectral DOT as a cellular imaging method for accurate determination of breast cancer.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.