ArticlePloS one2013
Label-free detection of breast masses using multiphoton microscopy.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed.
- Quantitative Histopathology Analysis Based on Label-free Multiphoton Imaging for Breast Cancer Diagnosis and Neoadjuvant Immunotherapy Response Assessment.International journal of biological sciences · 2025Article
- Multimodal imaging of metabolic activities for distinguishing subtypes of breast cancer.Biomedical optics express · 2023Article
- Exploring the Anticancer Effects of Brominated Plastoquinone Analogs with Promising Cytotoxic Activity in MCF-7 Breast Cancer Cells via Cell Cycle Arrest and Oxidative Stress Induction.Pharmaceuticals (Basel, Switzerland) · 2022Article
- Spatial light interference microscopy: principle and applications to biomedicine.Advances in optics and photonics · 2021Article
- Rapid assessment of breast tumor margins using deep ultraviolet fluorescence scanning microscopy.Journal of biomedical optics · 2020Article
- Canine mammary cancer diagnosis from quantitative properties of nonlinear optical images.Biomedical optics express · 2020Article
- Nonlinear multispectral imaging for tumor delineation.Journal of biomedical optics · 2020Article
- Label-free molecular profiling for identification of biomarkers in carcinogenesis using multimodal multiphoton imaging.Quantitative imaging in medicine and surgery · 2019Article
- Whole-Section Tumor Micro-Architecture Analysis by a Two-Dimensional Phasor-Based Approach Applied to Polarization-Dependent Second Harmonic Imaging.Frontiers in oncology · 2019Article
- Real-time Brain Tumor imaging with endogenous fluorophores: a diagnosis proof-of-concept study on fresh human samples.Scientific reports · 2018Article
- Article
- Identifying Two Common Types of Breast Benign Diseases Based on Multiphoton Microscopy.Scanning · 2018Article
- Human and model observer performance for lesion detection in breast cone beam CT images with the FDK reconstruction.PloS one · 2018Article
- Monitoring neoadjuvant therapy responses in rectal cancer using multimodal nonlinear optical microscopy.Oncotarget · 2017Article
- Quantitative structural markers of colorectal dysplasia in a cross sectional study of ex vivo murine tissue using label-free multiphoton microscopy.Proceedings of SPIE--the International Society for Optical Engineering · 2016Article
- Translational label-free nonlinear imaging biomarkers to classify the human corneal microstructure.Biomedical optics express · 2015Article
- Multiphoton microscopy for tumor regression grading after neoadjuvant treatment for colorectal carcinoma.World journal of gastroenterology · 2015Article
- Monitoring morphological alterations during invasive ductal breast carcinoma progression using multiphoton microscopy.Lasers in medical science · 2015Article
- Detection of morphologic alterations in rectal carcinoma following preoperative radiochemotherapy based on multiphoton microscopy imaging.BMC cancer · 2015Article
- Optical diagnosis of gallbladder cancers via two-photon excited fluorescence imaging of unstained histological sections.Lasers in medical science · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Histopathology forms the gold standard for the diagnosis of breast cancer. Multiphoton microscopy (MPM) has been proposed to be a potentially powerful adjunct to current histopathological techniques. A label-free imaging based on two- photon excited fluorescence and second-harmonic generation is developed for differentiating normal breast tissues, benign, as well as breast cancer tissues. Human breast biopsies (including human normal breast tissues, benign as well as breast cancer tissues ) that are first imaged (fresh, unfixed, and unstained) with MPM and are then processed for routine H-E histopathology. Our results suggest that the MPM images, obtained from these unprocessed biopsies, can readily distinguish between benign lesions and breast cancers. In the tissues of breast cancers, MPM showed that the tumor cells displayed marked cellular and nuclear pleomorphism. The tumor cells, characterized by irregular size and shape, enlarged nuclei, and increased nuclear-cytoplasmic ratio, infiltrated into disrupted connective tissue, leading to the loss of second-harmonic generation signals. For breast cancer, MPM diagnosis was 100% correct because the tissues of breast cancers did not have second-harmonic generation signals in MPM imaging. On the contrary, in benign breast masses, second-harmonic generation signals could be seen easily in MPM imaging. These observations indicate that MPM could be an important potential tool to provide label-free noninvasive diagnostic impressions that can guide surgeon in biopsy and patient management.
Indexed as
Identifiers
What OpenQuestion holds
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.