Diffuse optical tomography of the breast: a potential modifiable biomarker of breast cancer risk with neoadjuvant chemotherapy

Altoé, Mirella L.; Marone, Alessandro; Kim, Hyun Koo; Kalinsky, Kevin; Hershman, Dawn L.; Hielscher, Andreas H.; Ha, Richard S.

doi:10.1364/boe.10.004305

Cited by 17 publications

(13 citation statements)

References 32 publications

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“…Therefore, the optically derived parameters collected from the contralateral unaffected breast can offer a more unbiased and non-ROI dependent measurement to follow up the course of changes in the breast tissue during NAC and associations with treatment outcome. The only two previous studies [ 11 , 29 ], which evaluated optical imaging changes during NAC in the contralateral normal tissue, did not perform analyses regarding tumor response. By associating contralateral healthy breast data with tumor response, we could provide a potential marker for evaluating chemotherapy regimens’ efficacy early in the treatment course.…”

Section: Discussionmentioning

confidence: 99%

“…Besides, the mixed-effect model results indicated a statistically significant negative relationship between ctO 2 Hb and BMI. DOTBIS-measured ctO 2 Hb is thought to be correlated to breast density since it is related to the arterial blood supply carrying oxygen to meet the fibroglandular tissue metabolic demand [ 29 ]. In contrast, BMI is inversely related to percent density and acts as a co-founder of each other’s effects [ 39 – 42 ].…”

Section: Discussionmentioning

confidence: 99%

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Effects of neoadjuvant chemotherapy on the contralateral non-tumor-bearing breast assessed by diffuse optical tomography

et al. 2021

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Background The purpose of this study is to evaluate whether the changes in optically derived parameters acquired with a diffuse optical tomography breast imager system (DOTBIS) in the contralateral non-tumor-bearing breast in patients administered neoadjuvant chemotherapy (NAC) for breast cancer are associated with pathologic complete response (pCR). Methods In this retrospective evaluation of 105 patients with stage II–III breast cancer, oxy-hemoglobin (ctO2Hb) from the contralateral non-tumor-bearing breast was collected and analyzed at different time points during NAC. The earliest monitoring imaging time point was after 2–3 weeks receiving taxane. Longitudinal data were analyzed using linear mixed-effects modeling to evaluate the contralateral breast ctO2Hb changes across chemotherapy when corrected for pCR status, age, and BMI. Results Patients who achieved pCR to NAC had an overall decrease of 3.88 μM for ctO2Hb (95% CI, 1.39 to 6.37 μM), p = .004, after 2–3 weeks. On the other hand, non-pCR subjects had a non-significant mean reduction of 0.14 μM (95% CI, − 1.30 to 1.58 μM), p > .05. Mixed-effect model results indicated a statistically significant negative relationship of ctO2Hb levels with BMI and age. Conclusions This study demonstrates that the contralateral normal breast tissue assessed by DOTBIS is modifiable after NAC, with changes associated with pCR after only 2–3 weeks of chemotherapy.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Effects of neoadjuvant chemotherapy on the contralateral non-tumor-bearing breast assessed by diffuse optical tomography

et al. 2021

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“…Half of the patients had positive anti-double-stranded DNA antibodies. The median (range) hybrid SLEDAI score was 6.5 (4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22) for the patient group. Eight patients had a history of lupus nephritis; two patients had active nephritis at the time of evaluation as defined by the renal domain SLEDAI descriptors.…”

Section: Discussionmentioning

confidence: 99%

“…Optical imaging methods have been applied to diagnosing and assessing progression of various diseases, including breast cancer, [19][20][21][22][23] peripheral vascular disease, [24][25][26][27] wound healing 28 29 and more. [30][31][32] In these applications, optical transmission and reflection measurements are used to assess differences in the scatter and absorption of light between patients and healthy controls.…”

Section: Lupus Science and Medicinementioning

confidence: 99%

Evaluation of SLE arthritis using frequency domain optical imaging

et al. 2021

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ObjectivesSystemic lupus erythematosus (SLE) affects the joints in up to 95% of patients. The diagnosis and evaluation of SLE arthritis remain challenging in both practice and clinical trials. Frequency domain optical imaging (FDOI) has been previously used to assess joint involvement in inflammatory arthritis. The objective of this study was to evaluate FDOI in SLE arthritis.MethodsNinety-six proximal interphalangeal (PIP) joints from 16 patients with SLE arthritis and 60 PIP joints from 10 age-matched, gender-matched and race/ethnicity-matched controls were examined. A laser beam with a wavelength of 670 nm, 1 mm in diameter and intensity modulated at 300 MHz and 600 MHz was directed onto the dorsal surface of each joint, scanning across a sagittal plane. The transmitted light intensities and phase shifts were measured with an intensified charge-coupled device camera. The data were analysed using Discriminant Analysis and Support Vector Machine algorithms.ResultsThe amplitude and phase of the transmitted light were significantly different between SLE and control PIPs (p<0.05). Receiver operating characteristic (ROC) analysis of cross-validated models showed an Area Under the ROC Curve (AUC)of 0.89 with corresponding sensitivity of 95%, specificity of 79%, and accuracy of 80%.ConclusionThis study is the first evaluation of optical methods in the assessment of SLE arthritis; there was a statistically significant difference in the FDOI signals between patients with SLE and healthy volunteers. The results show that FDOI may have the potential to provide an objective, user-independent, evaluation of SLE PIP joints arthritis.

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“…N EAR-infrared diffuse optical tomography is a relatively new optical imaging technique used for the examination of biological tissue at a macroscopic scale and has witnessed increased interest as a non-invasive and low-cost breast cancer screening alternative to ionizing X-ray mammography, the de facto screening technique [1], [2]. DOT projects nearinfrared light from one or more light sources and acquires boundary data of the tissue (back-scattered light) using a set of detectors yielding, after reconstruction, cross-sectional or volumetric images of tissue [3].…”

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Multitask Deep Learning Reconstruction and Localization of Lesions in Limited Angle Diffuse Optical Tomography

Yedder¹,

Cardoen²,

Hamarneh³

2020

Preprint

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<div>Diffuse optical tomography (DOT) leverages near-infrared light propagation through tissue to assess its optical properties and identify abnormalities. </div><div>DOT image reconstruction from limited-angle data acquisition is severely ill-posed due to the highly scattered photons in the medium and the relatively small number of collected projections. Reconstructions are thus commonly marred by artifacts and, as a result, it is difficult to obtain accurate reconstruction of target objects, e.g., malignant lesions.</div><div>Reconstruction does not always ensure good localization of small lesions. Furthermore, conventional optimization-based reconstruction methods are computationally expensive, rendering them too slow for real-time imaging applications.</div><div>Our goal is to develop a fast and accurate image reconstruction method using deep learning, where multitask learning ensures accurate lesion localization in addition to improved reconstruction.</div><div>We apply spatial-wise attention and a distance transform based loss function in a novel multitask learning formulation to improve localization and reconstruction compared to single-task optimized methods.</div><div>Given the scarcity of real-world sensor-image pairs required for training supervised deep learning models,</div><div>we leverage physics-based simulation to generate synthetic datasets and use a transfer learning module to align the sensor domain distribution between in silico and real-world data, while taking advantage of cross-domain learning.</div><div>Both quantitative and qualitative results on phantom and real data indicate the superiority of our multitask method in the reconstruction and localization of lesions in tissue compared to state-of-the-art methods.</div><div>The results demonstrate that multitask learning provides sharper and more accurate reconstruction.</div>

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Diffuse optical tomography of the breast: a potential modifiable biomarker of breast cancer risk with neoadjuvant chemotherapy

Cited by 17 publications

References 32 publications

Effects of neoadjuvant chemotherapy on the contralateral non-tumor-bearing breast assessed by diffuse optical tomography

Effects of neoadjuvant chemotherapy on the contralateral non-tumor-bearing breast assessed by diffuse optical tomography

Evaluation of SLE arthritis using frequency domain optical imaging

Multitask Deep Learning Reconstruction and Localization of Lesions in Limited Angle Diffuse Optical Tomography

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