ArticleJournal of biomedical optics2021
Breast cancer differential diagnosis using diffuse optical spectroscopic imaging and regression with z-score normalized data.
Article in Journal of biomedical optics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06360809 (Prehabilitation Exercise Program in Breast Cancer), which is not on this map. Cited by 8 papers.
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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.
Prehabilitation Exercise Program in Breast Cancer: Effects on Quality of Life and Tumor Microenvironment (PEP_BC)
Who cites it
8 citing papers in PubMed, 20 citations in OpenAlex.
- Machine learning enhanced optical spectroscopy for breast cancer diagnosis: A review.Lasers in medical science · 2026Review
- Implementing ensemble of deep learning model with optimization techniques for human activity recognition to assist individuals with disabilities.Scientific reports · 2025Article
- AI-assisted diffuse correlation tomography for identifying breast cancer.Journal of biomedical optics · 2025Article
- Impact of clinical factors on the diagnostic performance of diffuse optical spectroscopic imaging for breast cancer.Scientific reports · 2025Article
- A Low-Cost Optomechatronic Diffuse Optical Mammography System for 3D Image Reconstruction: Proof of Concept.Diagnostics (Basel, Switzerland) · 2025Article
- Diffuse correlation tomography: a technique to characterize tissue blood flow abnormalities in benign and malignant breast lesions.Biomedical optics express · 2024Article
- Evaluation of Diffuse Reflectance Spectroscopy Vegetal Phantoms for Human Pigmented Skin Lesions.Sensors (Basel, Switzerland) · 2024Article
- Monitoring of neoadjuvant chemotherapy through time domain diffuse optics: breast tissue composition changes and collagen discriminative potential.Biomedical optics express · 2024Article
Corrections and comments
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Authors and funding
9 authors at 7 institutions in 2 countries.
Funding
Abstract
significanceCurrent imaging paradigms for differential diagnosis of suspicious breast lesions suffer from high false positive rates that force patients to undergo unnecessary biopsies. Diffuse optical spectroscopic imaging (DOSI) noninvasively probes functional hemodynamic and compositional parameters in deep tissue and has been shown to be sensitive to contrast between normal and malignant tissues.
aimDOSI methods are under investigation as an adjunct to mammography and ultrasound that could reduce false positive rates and unnecessary biopsies, particularly in radiographically dense breasts.
methodsWe performed a retrospective analysis of 212 subjects with suspicious breast lesions who underwent DOSI imaging. Physiological tissue parameters were z-score normalized to the patient's contralateral breast tissue and input to univariate logistic regression models to discriminate between malignant tumors and the surrounding normal tissue. The models were then used to differentiate malignant lesions from benign lesions.
resultsModels incorporating several individual hemodynamic parameters were able to accurately distinguish malignant tumors from both the surrounding background tissue and benign lesions with area under the curve (AUC) ≥0.85. Z-score normalization improved the discriminatory ability and calibration of these predictive models relative to unnormalized or ratio-normalized data.
conclusionsFindings from a large subject population study show how DOSI data normalization that accounts for normal tissue heterogeneity and quantitative statistical regression approaches can be combined to improve the ability of DOSI to diagnose malignant lesions. This improved diagnostic accuracy, combined with the modality's inherent logistical advantages of portability, low cost, and nonionizing radiation, could position DOSI as an effective adjunct modality that could be used to reduce the number of unnecessary invasive biopsies.
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Registered trials
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