ArticleBiomedical optics express2014
Sensitivity of MRI-guided near-infrared spectroscopy clinical breast exam data and its impact on diagnostic performance.
Article in Biomedical optics express, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Deep Learning Enables Fast and Accurate Quantification of MRI-Guided Near-Infrared Spectral Tomography for Breast Cancer Diagnosis.IEEE transactions on medical imaging · 2025Article
- MRI-Guided Near-Infrared Spectroscopic Tomography (MRg-NIRST) Imaging System With Wearable Breast Optical Interface for Breast Cancer Imaging.IEEE transactions on bio-medical engineering · 2025Article
- Monitoring of neoadjuvant chemotherapy through time domain diffuse optics: breast tissue composition changes and collagen discriminative potential.Biomedical optics express · 2024Article
- Two-stage classification strategy for breast cancer diagnosis using ultrasound-guided diffuse optical tomography and deep learning.Journal of biomedical optics · 2023Article
- Prospective assessment of adjunctive ultrasound-guided diffuse optical tomography in women undergoing breast biopsy: Impact on BI-RADS assessments.European journal of radiology · 2021Article
- Performance assessment of MRI guided continuous wave near-infrared spectral tomography for breast imaging.Biomedical optics express · 2021Article
- A New Look into Cancer-A Review on the Contribution of Vibrational Spectroscopy on Early Diagnosis and Surgery Guidance.Cancers · 2021Review
- Breast cancer differential diagnosis using diffuse optical spectroscopic imaging and regression with z-score normalized data.Journal of biomedical optics · 2021Article
- Optimal breast cancer diagnostic strategy using combined ultrasound and diffuse optical tomography.Biomedical optics express · 2020Article
- Reducing image artifact in diffuse optical tomography by iterative perturbation correction based on multiwavelength measurements.Journal of biomedical optics · 2019Article
- Back-propagation neural network-based reconstruction algorithm for diffuse optical tomography.Journal of biomedical optics · 2018Article
- Tissue oxygen saturation predicts response to breast cancer neoadjuvant chemotherapy within 10 days of treatment.Journal of biomedical optics · 2018Article
- Weighting function effects in a direct regularization method for image-guided near-infrared spectral tomography of breast cancer.Biomedical optics express · 2018Article
- Two step imaging reconstruction using truncated pseudoinverse as a preliminary estimate in ultrasound guided diffuse optical tomography.Biomedical optics express · 2017Article
- Addition of T2-guided optical tomography improves noncontrast breast magnetic resonance imaging diagnosis.Breast cancer research : BCR · 2017Article
- Longitudinal optical monitoring of blood flow in breast tumors during neoadjuvant chemotherapy.Physics in medicine and biology · 2017Article
- Automated data selection method to improve robustness of diffuse optical tomography for breast cancer imaging.Biomedical optics express · 2016Article
- Article
- Portable, parallel 9-wavelength near-infrared spectral tomography (NIRST) system for efficient characterization of breast cancer within the clinical oncology infusion suite.Biomedical optics express · 2016Article
- Image-derived arterial input function for quantitative fluorescence imaging of receptor-drug binding in vivo.Journal of biophotonics · 2016Article
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Authors and funding
11 authors.
Funding
Abstract
In this study, data from breast MRI-guided near infrared spectroscopy (NIRS) exams delivered to 44 patients scheduled for surgical resection (ending in 16 benign and 28 malignant diagnoses) were analyzed using a spatial sensitivity metric to quantify the adequacy of the optical measurements for interrogating the tumor region of interest, as derived from the concurrent MRI scan. Along with positional sensitivity, the incorporation of spectral priors and the selection of an appropriate regularization parameter in the image reconstruction were considered, and found to influence the diagnostic accuracy of the recovered images. Once optimized, the MRI/NIRS data was able to differentiate the malignant from benign lesions through both total hemoglobin (p = 0.0037) and tissue optical index (p = 0.00019), but required the relative spatial sensitivity of the optical measurement data to each lesion to be above 1%. Spectral constraints implemented during the reconstruction were required to obtain statistically significant diagnostic information from images of H2O, lipids, and Tissue Optical Index (TOI). These results confirm the need for optical systems that have homogenous spatial coverage of the breast while still being able to accommodate the normal range of breast sizes.
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