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McDonald RC, Fischer AH, Rusckowski M. Oxygen Sensor-Guided Fine Needle Biopsy Studies of Human Cancer Xenografts in Mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.27.596060. [PMID: 38854036 PMCID: PMC11160627 DOI: 10.1101/2024.05.27.596060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
An oxygen sensor-mounted fine-needle biopsy tool was used for in vivo measurement of oxygen levels in tumor xenografts. The system provides a means of measuring the oxygen content in harvested tumor tissue from specific locations. Oxygen in human tumor xenografts in a murine model was observed for over 1 min. Tissues were mapped in relation to oxygen tension (pO2) readings and sampled for conventional cytological examination. Careful modeling of the pO2 readings over 60 seconds yielded a diffusion coefficient for oxygen at the sensor tip, providing additional diagnostic information about the tissue before sampling. Oxygen level measurement may provide a useful adjunct to the use of biomarkers in tumor diagnosis.
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Affiliation(s)
| | | | - Mary Rusckowski
- University of Massachusetts Medical School, Associate Professor, Department of Radiology
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2
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Cao X, Muller KE, Chamberlin MD, Gui J, Kaufman PA, Schwartz GN, diFlorio-Alexander RM, Pogue BW, Paulsen KD, Jiang S. Near-Infrared Spectral Tomography for Predicting Residual Cancer Burden during Early-Stage Neoadjuvant Chemotherapy for Breast Cancer. Clin Cancer Res 2023; 29:4822-4829. [PMID: 37733788 DOI: 10.1158/1078-0432.ccr-23-1593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 07/19/2023] [Accepted: 09/20/2023] [Indexed: 09/23/2023]
Abstract
PURPOSE The aim of this study is to investigate whether near-infrared spectral tomography (NIRST) might serve as a reliable prognostic tool to predict residual cancer burden (RCB) in patients with breast cancer undergoing neoadjuvant chemotherapy (NAC) based upon early treatment response measurements. EXPERIMENTAL DESIGN A total of thirty-five patients with breast cancer receiving NAC were included in this study. NIRST imaging was performed at multiple time points, including: before treatment, at end of the first cycle, at the mid-point, and post-NAC treatments. From reconstructed NIRST images, average values of total hemoglobin (HbT) were obtained for both the tumor region and contralateral breast at each time point. RCB scores/classes were assessed by a pathologist using histologic slides of the surgical specimen obtained after completing NAC. Logistic regression of the normalized early percentage change of HbT in the tumor region (ΔHbT%) was used to predict RCB and determine its significance as an indicator for differentiating cases within each RCB class. RESULTS The ΔHbT% at the end of the first cycle, as compared with pretreatment levels, showed excellent prognostic capability in differentiating RCB-0 from RCB-I/II/III or RCB-II from RCB-0/I/III (P < 0.001). Corresponding area under the curve (AUC) values for these comparisons were 0.97 and 0.94, and accuracy values were 0.90 and 0.83, respectively. CONCLUSIONS NIRST holds promise as a potential clinical tool that can be seamlessly integrated into existing clinical workflow within the infusion suite. By providing early assessment of RCB, NIRST has potential to improve breast cancer patient management strategies.
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Affiliation(s)
- Xu Cao
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire
| | | | | | - Jiang Gui
- Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire
| | | | | | | | - Brian W Pogue
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire
| | - Keith D Paulsen
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire
| | - Shudong Jiang
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire
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3
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Lee S, Kim JG. Breast tumor hemodynamic response during a breath-hold as a biomarker to predict chemotherapeutic efficacy: preclinical study. JOURNAL OF BIOMEDICAL OPTICS 2018; 23:1-5. [PMID: 29706036 DOI: 10.1117/1.jbo.23.4.048001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Accepted: 04/13/2018] [Indexed: 06/08/2023]
Abstract
Continuous wave diffuse optical tomographic/spectroscopic system does not provide absolute concentrations of chromophores in tissue and monitor only the changes of chromophore concentration. Therefore, it requires a perturbation of physiological signals, such as blood flow and oxygenation. In that sense, a few groups reported that monitoring a relative hemodynamic change during a breast tissue compression or a breath-hold to a patient can provide good contrast between tumor and nontumor. However, no longitudinal study reports the utilization of a breath-hold to predict tumor response during chemotherapy. A continuous wave near-infrared spectroscopy was employed to monitor hemodynamics in rat breast tumor during a hyperoxic to normoxic inhalational gas intervention to mimic a breath-hold during tumor growth and chemotherapy. The reduced oxyhemoglobin concentration during inhalational gas intervention correlated well with tumor growth, and it responded one day earlier than the change of tumor volume after chemotherapy. In conclusion, monitoring tumor hemodynamics during a breath-hold may serve as a biomarker to predict chemotherapeutic efficacy of tumor.
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Affiliation(s)
- Songhyun Lee
- Gwangju Institute of Science and Technology, Department of Biomedical Science and Engineering, Gwang, Republic of Korea
| | - Jae Gwan Kim
- Gwangju Institute of Science and Technology, Department of Biomedical Science and Engineering, Gwang, Republic of Korea
- Gwangju Institute of Science and Technology, School of Electrical Engineering and Computer Science,, Republic of Korea
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4
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Tomaszewski MR, Gonzalez IQ, O'Connor JPB, Abeyakoon O, Parker GJM, Williams KJ, Gilbert FJ, Bohndiek SE. Oxygen Enhanced Optoacoustic Tomography (OE-OT) Reveals Vascular Dynamics in Murine Models of Prostate Cancer. Theranostics 2017; 7:2900-2913. [PMID: 28824724 PMCID: PMC5562224 DOI: 10.7150/thno.19841] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Accepted: 05/02/2017] [Indexed: 02/07/2023] Open
Abstract
Poor oxygenation of solid tumours has been linked with resistance to chemo- and radio-therapy and poor patient outcomes, hence non-invasive imaging of oxygen supply and demand in tumours could improve disease staging and therapeutic monitoring. Optoacoustic tomography (OT) is an emerging clinical imaging modality that provides static images of endogenous haemoglobin concentration and oxygenation. Here, we demonstrate oxygen enhanced (OE)-OT, exploiting an oxygen gas challenge to visualise the spatiotemporal heterogeneity of tumour vascular function. We show that tracking oxygenation dynamics using OE-OT reveals significant differences between two prostate cancer models in nude mice with markedly different vascular function (PC3 & LNCaP), which appear identical in static OT. LNCaP tumours showed a spatially heterogeneous response within and between tumours, with a substantial but slow response to the gas challenge, aligned with ex vivo analysis, which revealed a generally perfused and viable tumour with marked areas of haemorrhage. PC3 tumours had a lower fraction of responding pixels compared to LNCaP with a high disparity between rim and core response. While the PC3 core showed little or no dynamic response, the rim showed a rapid change, consistent with our ex vivo findings of hypoxic and necrotic core tissue surrounded by a rim of mature and perfused vasculature. OE-OT metrics are shown to be highly repeatable and correlate directly on a per-tumour basis to tumour vessel function assessed ex vivo. OE-OT provides a non-invasive approach to reveal the complex dynamics of tumour vessel perfusion, permeability and vasoactivity in real time. Our findings indicate that OE-OT holds potential for application in prostate cancer patients, to improve delineation of aggressive and indolent disease as well as in patient stratification for chemo- and radio-therapy.
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Affiliation(s)
- Michal R Tomaszewski
- Department of Physics, University of Cambridge, U.K
- Cancer Research UK Cambridge Institute, University of Cambridge, U.K
| | - Isabel Quiros Gonzalez
- Department of Physics, University of Cambridge, U.K
- Cancer Research UK Cambridge Institute, University of Cambridge, U.K
| | - James PB O'Connor
- Institute of Cancer Sciences, University of Manchester, U.K
- Department of Radiology, The Christie NHS Foundation Trust, U.K
| | | | - Geoff JM Parker
- Centre for Imaging Sciences, University of Manchester, U.K
- Bioxydyn Limited, Manchester, U.K
| | | | | | - Sarah E Bohndiek
- Department of Physics, University of Cambridge, U.K
- Cancer Research UK Cambridge Institute, University of Cambridge, U.K
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5
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Zimmermann BB, Deng B, Singh B, Martino M, Selb J, Fang Q, Sajjadi AY, Cormier J, Moore RH, Kopans DB, Boas DA, Saksena MA, Carp SA. Multimodal breast cancer imaging using coregistered dynamic diffuse optical tomography and digital breast tomosynthesis. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:46008. [PMID: 28447102 PMCID: PMC5406652 DOI: 10.1117/1.jbo.22.4.046008] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Accepted: 04/07/2017] [Indexed: 05/02/2023]
Abstract
Diffuse optical tomography (DOT) is emerging as a noninvasive functional imaging method for breast cancer diagnosis and neoadjuvant chemotherapy monitoring. In particular, the multimodal approach of combining DOT with x-ray digital breast tomosynthesis (DBT) is especially synergistic as DBT prior information can be used to enhance the DOT reconstruction. DOT, in turn, provides a functional information overlay onto the mammographic images, increasing sensitivity and specificity to cancer pathology. We describe a dynamic DOT apparatus designed for tight integration with commercial DBT scanners and providing a fast (up to 1 Hz) image acquisition rate to enable tracking hemodynamic changes induced by the mammographic breast compression. The system integrates 96 continuous-wave and 24 frequency-domain source locations as well as 32 continuous wave and 20 frequency-domain detection locations into low-profile plastic plates that can easily mate to the DBT compression paddle and x-ray detector cover, respectively. We demonstrate system performance using static and dynamic tissue-like phantoms as well as in vivo images acquired from the pool of patients recalled for breast biopsies at the Massachusetts General Hospital Breast Imaging Division.
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Affiliation(s)
- Bernhard B. Zimmermann
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
- Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, Cambridge, Massachusetts, United States
| | - Bin Deng
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
- Harvard Medical School, Department of Radiology, Boston, Massachusetts, United States
| | - Bhawana Singh
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
- Harvard Medical School, Department of Radiology, Boston, Massachusetts, United States
| | - Mark Martino
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
| | - Juliette Selb
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
- Harvard Medical School, Department of Radiology, Boston, Massachusetts, United States
| | - Qianqian Fang
- Northeastern University, Department of Bioengineering, Boston, Massachusetts, United States
| | - Amir Y. Sajjadi
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
- Harvard Medical School, Department of Radiology, Boston, Massachusetts, United States
| | - Jayne Cormier
- Massachusetts General Hospital, Breast Imaging Division, Department of Radiology, Boston, Massachusetts, United States
| | - Richard H. Moore
- Massachusetts General Hospital, Breast Imaging Division, Department of Radiology, Boston, Massachusetts, United States
| | - Daniel B. Kopans
- Harvard Medical School, Department of Radiology, Boston, Massachusetts, United States
- Massachusetts General Hospital, Breast Imaging Division, Department of Radiology, Boston, Massachusetts, United States
| | - David A. Boas
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
- Harvard Medical School, Department of Radiology, Boston, Massachusetts, United States
| | - Mansi A. Saksena
- Harvard Medical School, Department of Radiology, Boston, Massachusetts, United States
- Massachusetts General Hospital, Breast Imaging Division, Department of Radiology, Boston, Massachusetts, United States
| | - Stefan A. Carp
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States
- Harvard Medical School, Department of Radiology, Boston, Massachusetts, United States
- Address all correspondence to: Stefan A. Carp, E-mail:
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6
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Wallace TE, Manavaki R, Graves MJ, Patterson AJ, Gilbert FJ. Impact of physiological noise correction on detecting blood oxygenation level-dependent contrast in the breast. Phys Med Biol 2017; 62:127-145. [PMID: 27973353 PMCID: PMC6050521 DOI: 10.1088/1361-6560/62/1/127] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Revised: 09/13/2016] [Accepted: 10/21/2016] [Indexed: 11/30/2022]
Abstract
Physiological fluctuations are expected to be a dominant source of noise in blood oxygenation level-dependent (BOLD) magnetic resonance imaging (MRI) experiments to assess tumour oxygenation and angiogenesis. This work investigates the impact of various physiological noise regressors: retrospective image correction (RETROICOR), heart rate (HR) and respiratory volume per unit time (RVT), on signal variance and the detection of BOLD contrast in the breast in response to a modulated respiratory stimulus. BOLD MRI was performed at 3 T in ten volunteers at rest and during cycles of oxygen and carbogen gas breathing. RETROICOR was optimized using F-tests to determine which cardiac and respiratory phase terms accounted for a significant amount of signal variance. A nested regression analysis was performed to assess the effect of RETROICOR, HR and RVT on the model fit residuals, temporal signal-to-noise ratio, and BOLD activation parameters. The optimized RETROICOR model accounted for the largest amount of signal variance ([Formula: see text] = 3.3 ± 2.1%) and improved the detection of BOLD activation (P = 0.002). Inclusion of HR and RVT regressors explained additional signal variance, but had a negative impact on activation parameter estimation (P < 0.001). Fluctuations in HR and RVT appeared to be correlated with the stimulus and may contribute to apparent BOLD signal reactivity.
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Affiliation(s)
- Tess E Wallace
- Department of Radiology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, Cambridge Biomedical Campus, Cambridge, UK
| | - Roido Manavaki
- Department of Radiology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, Cambridge Biomedical Campus, Cambridge, UK
| | - Martin J Graves
- NIHR Cambridge Biomedical Research Centre, Cambridge Biomedical Campus, Cambridge, UK
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Andrew J Patterson
- NIHR Cambridge Biomedical Research Centre, Cambridge Biomedical Campus, Cambridge, UK
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Fiona J Gilbert
- Department of Radiology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, Cambridge Biomedical Campus, Cambridge, UK
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7
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Tgavalekos KT, Kainerstorfer JM, Sassaroli A, Fantini S. Blood-pressure-induced oscillations of deoxy- and oxyhemoglobin concentrations are in-phase in the healthy breast and out-of-phase in the healthy brain. JOURNAL OF BIOMEDICAL OPTICS 2016; 21:101410. [PMID: 27020418 PMCID: PMC4809098 DOI: 10.1117/1.jbo.21.10.101410] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2015] [Accepted: 03/03/2016] [Indexed: 05/29/2023]
Abstract
We present a near-infrared spectroscopy (NIRS) study of local hemodynamics in the breast and the brain (prefrontal cortex) of healthy volunteers in a protocol involving periodic perturbations to the systemic arterial blood pressure. These periodic perturbations were achieved by cyclic inflation (to a pressure of 200 mmHg) and deflation (at frequencies of 0.046, 0.056, 0.063, 0.071, and 0.083 Hz) of two pneumatic cuffs wrapped around the subject’s thighs. As a result of these systemic perturbations, the concentrations of deoxy- and oxyhemoglobin in tissue (D and O , respectively) oscillate at the set frequency. We found that the oscillations of D and O in breast tissue are in-phase at all frequencies considered, a result that we attribute to dominant contributions from blood volume oscillations. In contrast, D and O oscillations in brain tissue feature a frequency-dependent phase difference, which we attribute to significant contributions from cerebral blood flow oscillations. Frequency-resolved measurements of D and O oscillations are exploited by the technique of coherent hemodynamics spectroscopy for the assessment of cerebrovascular parameters and cerebral autoregulation. We show the relevant physiological information content of NIRS measurements of oscillatory hemodynamics, which have qualitatively distinct features in the healthy breast and healthy brain.
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Affiliation(s)
- Kristen T. Tgavalekos
- Tufts University, Department of Biomedical Engineering, 4 Colby Street, Medford, Massachusetts 02155, United States
| | - Jana M. Kainerstorfer
- Tufts University, Department of Biomedical Engineering, 4 Colby Street, Medford, Massachusetts 02155, United States
| | - Angelo Sassaroli
- Tufts University, Department of Biomedical Engineering, 4 Colby Street, Medford, Massachusetts 02155, United States
| | - Sergio Fantini
- Tufts University, Department of Biomedical Engineering, 4 Colby Street, Medford, Massachusetts 02155, United States
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8
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Wallace TE, Patterson AJ, Abeyakoon O, Bedair R, Manavaki R, McLean MA, O'Connor JPB, Graves MJ, Gilbert FJ. Detecting gas-induced vasomotor changes via blood oxygenation level-dependent contrast in healthy breast parenchyma and breast carcinoma. J Magn Reson Imaging 2016; 44:335-45. [PMID: 26898173 PMCID: PMC4949641 DOI: 10.1002/jmri.25177] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 01/19/2016] [Indexed: 02/04/2023] Open
Abstract
PURPOSE To evaluate blood oxygenation level-dependent (BOLD) contrast changes in healthy breast parenchyma and breast carcinoma during administration of vasoactive gas stimuli. MATERIALS AND METHODS Magnetic resonance imaging (MRI) was performed at 3T in 19 healthy premenopausal female volunteers using a single-shot fast spin echo sequence to acquire dynamic T2 -weighted images. 2% (n = 9) and 5% (n = 10) carbogen gas mixtures were interleaved with either medical air or oxygen in 2-minute blocks, for four complete cycles. A 12-minute medical air breathing period was used to determine background physiological modulation. Pixel-wise correlation analysis was applied to evaluate response to the stimuli in breast parenchyma and these results were compared to the all-air control. The relative BOLD effect size was compared between two groups of volunteers scanned in different phases of the menstrual cycle. The optimal stimulus design was evaluated in five breast cancer patients. RESULTS Of the four stimulus combinations tested, oxygen vs. 5% carbogen produced a response that was significantly stronger (P < 0.05) than air-only breathing in volunteers. Subjects imaged during the follicular phase of their cycle when estrogen levels typically peak exhibited a significantly smaller BOLD response (P = 0.01). Results in malignant tissue were variable, with three out of five lesions exhibiting a diminished response to the gas stimulus. CONCLUSION Oxygen vs. 5% carbogen is the most robust stimulus for inducing BOLD contrast, consistent with the opposing vasomotor effects of these two gases. Measurements may be confounded by background physiological fluctuations and menstrual cycle changes. J. Magn. Reson. Imaging 2016;44:335-345.
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Affiliation(s)
- Tess E Wallace
- Department of Radiology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, Cambridge Biomedical Campus, Cambridge, UK
| | - Andrew J Patterson
- NIHR Cambridge Biomedical Research Centre, Cambridge Biomedical Campus, Cambridge, UK
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Oshaani Abeyakoon
- Department of Radiology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, Cambridge Biomedical Campus, Cambridge, UK
| | - Reem Bedair
- Department of Radiology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, Cambridge Biomedical Campus, Cambridge, UK
| | - Roido Manavaki
- Department of Radiology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, Cambridge Biomedical Campus, Cambridge, UK
| | - Mary A McLean
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, UK
| | | | - Martin J Graves
- NIHR Cambridge Biomedical Research Centre, Cambridge Biomedical Campus, Cambridge, UK
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Fiona J Gilbert
- Department of Radiology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, Cambridge Biomedical Campus, Cambridge, UK
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9
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Zhao Y, Mastanduno MA, Jiang S, EI-Ghussein F, Gui J, Pogue BW, Paulsen KD. Optimization of image reconstruction for magnetic resonance imaging-guided near-infrared diffuse optical spectroscopy in breast. JOURNAL OF BIOMEDICAL OPTICS 2015; 20:56009. [PMID: 26000795 PMCID: PMC4572095 DOI: 10.1117/1.jbo.20.5.056009] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Accepted: 04/28/2015] [Indexed: 05/18/2023]
Abstract
An optimized approach to nonlinear iterative reconstruction of magnetic resonance imaging (MRI)-guided near-infrared spectral tomography (NIRST) images was developed using an L-curve-based algorithm for the choice of regularization parameter. This approach was applied to clinical exam data to maximize the reconstructed values differentiating malignant and benign lesions. MRI/NIRST data from 25 patients with abnormal breast readings (BI-RADS category 4-5) were analyzed using this optimal regularization methodology, and the results showed enhanced p values and area under the curve (AUC) for the task of differentiating malignant from benign lesions. Of the four absorption parameters and two scatter parameters, the most significant differences for benign versus malignant were total hemoglobin (HbT) and tissue optical index (TOI) with p values = 0.01 and 0.001, and AUC values = 0.79 and 0.94, respectively, in terms of HbT and TOI. This dramatically improved the values relative to fixed regularization (p value = 0.02 and 0.003; AUC = 0.75 and 0.83) showing that more differentiation was possible with the optimal method. Through a combination of both biomarkers, HbT and TOI, the AUC increased from 82.9% (fixed regulation = 0.1) to 94.3% (optimal method).
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Affiliation(s)
- Yan Zhao
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States
- Address all correspondence to: Yan Zhao, E-mail:
| | - Michael A. Mastanduno
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States
| | - Shudong Jiang
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States
| | - Fadi EI-Ghussein
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States
| | - Jiang Gui
- Dartmouth College, Geisel School of Medicine, Department of Community and Family Medicine, Hanover, New Hampshire 03755, United States
| | - Brian W. Pogue
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States
| | - Keith D. Paulsen
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, United States
- Dartmouth College, Geisel School of Medicine, Department of Community and Family Medicine, Hanover, New Hampshire 03755, United States
- Dartmouth College, Geisel School of Medicine, Department of Diagnostic Radiology, Hanover, NH03755, United States
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10
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Mastanduno MA, Xu J, El-Ghussein F, Jiang S, Yin H, Zhao Y, Michaelson KE, Wang K, Ren F, Pogue BW, Paulsen KD. Sensitivity of MRI-guided near-infrared spectroscopy clinical breast exam data and its impact on diagnostic performance. BIOMEDICAL OPTICS EXPRESS 2014; 5:3103-15. [PMID: 25401024 PMCID: PMC4230863 DOI: 10.1364/boe.5.003103] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2014] [Revised: 08/08/2014] [Accepted: 08/08/2014] [Indexed: 05/13/2023]
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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Affiliation(s)
- Michael A. Mastanduno
- Thayer School of Engineering, Dartmouth College, Hanover NH 03755 USA
- Authors contributed equally to the work
| | - Junqing Xu
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xian, 710032 China
- Authors contributed equally to the work
| | - Fadi El-Ghussein
- Thayer School of Engineering, Dartmouth College, Hanover NH 03755 USA
| | - Shudong Jiang
- Thayer School of Engineering, Dartmouth College, Hanover NH 03755 USA
| | - Hong Yin
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xian, 710032 China
| | - Yan Zhao
- Thayer School of Engineering, Dartmouth College, Hanover NH 03755 USA
| | | | - Ke Wang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xian, 710032 China
| | - Fang Ren
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xian, 710032 China
| | - Brian W. Pogue
- Thayer School of Engineering, Dartmouth College, Hanover NH 03755 USA
| | - Keith D. Paulsen
- Thayer School of Engineering, Dartmouth College, Hanover NH 03755 USA
- Department of Diagnostic Radiology, Geisel School of Medicine, Dartmouth College, Hanover, NH03755 USA
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11
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Li B, Maafi F, Berti R, Pouliot P, Rhéaume E, Tardif JC, Lesage F. Hybrid FMT-MRI applied to in vivo atherosclerosis imaging. BIOMEDICAL OPTICS EXPRESS 2014; 5:1664-76. [PMID: 24877023 PMCID: PMC4026902 DOI: 10.1364/boe.5.001664] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2014] [Revised: 04/24/2014] [Accepted: 04/24/2014] [Indexed: 05/20/2023]
Abstract
Combining Fluorescent Molecular Tomography (FMT) with anatomical imaging, e.g. MRI facilitates interpreting functional information. Furthermore, using a heterogeneous model for light propagation has been shown in simulations to be superior to homogeneous modeling to quantify fluorescence. Here, we present a combined FMT-MRI system and apply it to heart and aorta molecular imaging, a challenging area due to strong tissue heterogeneity and the presence of air-voids due to lungs. First investigating performance in a phantom and mouse corpse, the MRI-enabled heterogeneous models resulted in an improved quantification of fluorescence reconstructions. The system was then used in mice for in vivo atherosclerosis molecular imaging. Results show that, when using the heterogeneous model, reconstructions were in agreement with the ex vivo measurements. Therefore, the proposed system might serve as a powerful imaging tool for atherosclerosis in mice.
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Affiliation(s)
- Baoqiang Li
- Institute of Biomedical Engineering, École Polytechnique de Montréal, Montreal, QC, H3C 3A7, Canada
- Montreal Heart Institute, Montreal, QC, H1T 1C8, Canada
| | - Foued Maafi
- Montreal Heart Institute, Montreal, QC, H1T 1C8, Canada
| | - Romain Berti
- Montreal Heart Institute, Montreal, QC, H1T 1C8, Canada
| | - Philippe Pouliot
- Institute of Biomedical Engineering, École Polytechnique de Montréal, Montreal, QC, H3C 3A7, Canada
- Montreal Heart Institute, Montreal, QC, H1T 1C8, Canada
| | - Eric Rhéaume
- Montreal Heart Institute, Montreal, QC, H1T 1C8, Canada
| | | | - Frederic Lesage
- Institute of Biomedical Engineering, École Polytechnique de Montréal, Montreal, QC, H3C 3A7, Canada
- Montreal Heart Institute, Montreal, QC, H1T 1C8, Canada
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12
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Bokacheva L, Ackerstaff E, LeKaye HC, Zakian K, Koutcher JA. High-field small animal magnetic resonance oncology studies. Phys Med Biol 2013; 59:R65-R127. [PMID: 24374985 DOI: 10.1088/0031-9155/59/2/r65] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
This review focuses on the applications of high magnetic field magnetic resonance imaging (MRI) and spectroscopy (MRS) to cancer studies in small animals. High-field MRI can provide information about tumor physiology, the microenvironment, metabolism, vascularity and cellularity. Such studies are invaluable for understanding tumor growth and proliferation, response to treatment and drug development. The MR techniques reviewed here include (1)H, (31)P, chemical exchange saturation transfer imaging and hyperpolarized (13)C MRS as well as diffusion-weighted, blood oxygen level dependent contrast imaging and dynamic contrast-enhanced MRI. These methods have been proven effective in animal studies and are highly relevant to human clinical studies.
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Affiliation(s)
- Louisa Bokacheva
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, 415 East 68 Street, New York, NY 10065, USA
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13
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Jiang S, Pogue BW, Michaelsen KE, Jermyn M, Mastanduno MA, Frazee TE, Kaufman PA, Paulsen KD. Pilot study assessment of dynamic vascular changes in breast cancer with near-infrared tomography from prospectively targeted manipulations of inspired end-tidal partial pressure of oxygen and carbon dioxide. JOURNAL OF BIOMEDICAL OPTICS 2013; 18:76011. [PMID: 23843088 PMCID: PMC3706903 DOI: 10.1117/1.jbo.18.7.076011] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
The dynamic vascular changes in the breast resulting from manipulation of both inspired end-tidal partial pressure of oxygen and carbon dioxide were imaged using a 30 s per frame frequency-domain near-infrared spectral (NIRS) tomography system. By analyzing the images from five subjects with asymptomatic mammography under different inspired gas stimulation sequences, the mixture that maximized tissue vascular and oxygenation changes was established. These results indicate maximum changes in deoxy-hemoglobin, oxygen saturation, and total hemoglobin of 21, 9, and 3%, respectively. Using this inspired gas manipulation sequence, an individual case study of a subject with locally advanced breast cancer undergoing neoadjuvant chemotherapy (NAC) was analyzed. Dynamic NIRS imaging was performed at different time points during treatment. The maximum tumor dynamic changes in deoxy-hemoglobin increased from less than 7% at cycle 1, day 5 (C1, D5) to 17% at (C1, D28), which indicated a complete response to NAC early during treatment and was subsequently confirmed pathologically at the time of surgery.
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Affiliation(s)
- Shudong Jiang
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, USA.
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14
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Flexman ML, Khalil MA, Al Abdi R, Kim HK, Fong CJ, Desperito E, Hershman DL, Barbour RL, Hielscher AH. Digital optical tomography system for dynamic breast imaging. JOURNAL OF BIOMEDICAL OPTICS 2011; 16:076014. [PMID: 21806275 PMCID: PMC3273311 DOI: 10.1117/1.3599955] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2011] [Revised: 05/19/2011] [Accepted: 05/23/2011] [Indexed: 05/18/2023]
Abstract
Diffuse optical tomography has shown promising results as a tool for breast cancer screening and monitoring response to chemotherapy. Dynamic imaging of the transient response of the breast to an external stimulus, such as pressure or a respiratory maneuver, can provide additional information that can be used to detect tumors. We present a new digital continuous-wave optical tomography system designed to simultaneously image both breasts at fast frame rates and with a large number of sources and detectors. The system uses a master-slave digital signal processor-based detection architecture to achieve a dynamic range of 160 dB and a frame rate of 1.7 Hz with 32 sources, 64 detectors, and 4 wavelengths per breast. Included is a preliminary study of one healthy patient and two breast cancer patients showing the ability to identify an invasive carcinoma based on the hemodynamic response to a breath hold.
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MESH Headings
- Adult
- Breast/pathology
- Breast Neoplasms/blood supply
- Breast Neoplasms/diagnosis
- Breast Neoplasms/physiopathology
- Carcinoma, Ductal, Breast/blood supply
- Carcinoma, Ductal, Breast/diagnosis
- Carcinoma, Ductal, Breast/physiopathology
- Diagnostic Imaging/instrumentation
- Diagnostic Imaging/methods
- Diagnostic Imaging/statistics & numerical data
- Equipment Design
- Female
- Hemodynamics
- Humans
- Image Processing, Computer-Assisted
- Imaging, Three-Dimensional
- Middle Aged
- Optical Fibers
- Respiratory Mechanics
- Signal Processing, Computer-Assisted
- Tomography, Optical/instrumentation
- Tomography, Optical/methods
- Tomography, Optical/statistics & numerical data
- User-Computer Interface
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Affiliation(s)
- Molly L Flexman
- Columbia University, Department of Biomedical Engineering, 351 Engineering Terrace, 1210 Amsterdam Avenue, New York, New York 10027, USA.
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15
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Dixit SS, Kim H, Comstock C, Faris GW. Near infrared transillumination imaging of breast cancer with vasoactive inhalation contrast. BIOMEDICAL OPTICS EXPRESS 2010; 1:295-309. [PMID: 21258467 PMCID: PMC3005163 DOI: 10.1364/boe.1.000265] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 06/21/2010] [Revised: 06/16/2010] [Accepted: 07/20/2010] [Indexed: 05/07/2023]
Abstract
Inhalation of vasoactive gases such as carbon dioxide and oxygen can provide strong changes in tissue hemodynamics. In this report, we present a preliminary clinical study aimed at assessing the feasibility of inhalation-based contrast with near infrared continuous wave transillumination for breast imaging. We describe a method for fitting the transient absorbance that provides the wavelength dependence of the optical pathlength as parametrized by tissue oxygenation and scatter power as well as the differential changes in oxy- and deoxy-hemoglobin. We also present a principal component analysis data reduction technique to assess the dynamic response from the tissue that uses coercion to provide single temporal eigenvalues associated with both oxy- and deoxy-hemoglobin changes.
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Affiliation(s)
- Sanhita S. Dixit
- Molecular Physics Laboratory, SRI International, 333 Ravenswood Avenue, Menlo Park, CA 94025, USA
| | - Hanyoup Kim
- Molecular Physics Laboratory, SRI International, 333 Ravenswood Avenue, Menlo Park, CA 94025, USA
- Currently with Biosystems Research and Development, Sandia National Labs, 7011 East Ave. MS9292,
Livermore CA 94550, USA
| | - Christopher Comstock
- Moores UCSD Cancer Center, 3855 Health Sciences Drive, La Jolla, CA 92093, USA
- Currently with the Memorial Sloan-Kettering Cancer Center.300 East 66th Street, New York, NY 10065, USA
| | - Gregory W. Faris
- Molecular Physics Laboratory, SRI International, 333 Ravenswood Avenue, Menlo Park, CA 94025, USA
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