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26 May 2015 Photoacoustic imaging of human lymph nodes with endogenous lipid and hemoglobin contrast
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Abstract
Lymph nodes play a central role in metastatic cancer spread and are a key clinical assessment target. Abnormal node vascularization, morphology, and size may be indicative of disease but can be difficult to visualize with sufficient accuracy using existing clinical imaging modalities. To explore the potential utility of photoacoustic imaging for the assessment of lymph nodes, images of ex vivo samples were obtained at multiple wavelengths using a high-resolution three-dimensional photoacoustic scanner. These images showed that hemoglobin based contrast reveals nodal vasculature and lipid-based contrast reveals the exterior node size, shape, and boundary integrity. These two sources of complementary contrast may allow indirect observation of cancer, suggesting a future role for photoacoustic imaging as a tool for the clinical assessment of lymph nodes.

1.

Introduction

Lymph nodes are a foremost site of metastasis in many cancers, and establishing their level of involvement is important for disease staging, prognosis, and treatment planning.1,2 Extranodal spread—breaching of the lymph node boundary by cancer—and neoangiogenesis can be indicators of cancer but are difficult to detect in vivo.2 Established clinical imaging modalities such as contrast-enhanced computed tomography and magnetic resonance imaging (MRI) can provide an estimate of the size of a lymph node. However, their inability to identify small cancerous deposits, reveal the detailed structure of the node, or visualize the internal vasculature limits diagnostic utility.3 Many clinical situations, therefore, require histopathological assessment following biopsy, which is necessarily invasive and can lead to complications.3

Photoacoustic imaging is an emerging modality4 that may be able to overcome some of the limitations of existing clinical imaging methods. Previous studies have demonstrated the potential to visualize cancer cells directly in excised human and animal nodes by exploiting the contrast provided by endogenous melanin5 and an exogenous contrast agent6 respectively. Sentinel lymph nodes have also been imaged macroscopically in small animals with contrast agents flooding the node.7 While imaging cancer cells directly is clearly desirable, it is challenging in general because without exogenous contrast agents, most cancer cells (save for melanocytes) do not contain molecules that exhibit significant optical absorption.

In this study, a different approach, high-resolution photoacoustic imaging of human lymph nodes using intrinsic contrast based on hemoglobin (Hb) and lipids, is explored. Contrast is correspondingly derived from internal vasculature and the fatty layer surrounding the node. This approach may allow indirect observation of cancer, for example by visualizing neoangiogenesis and revealing the distortion of a node boundary owing to internal tumor spreading.

2.

Materials and Methods

Two formalin-fixed, macroscopically normal human mesenteric lymph nodes, “A” and “B,” were imaged with a previously described photoacoustic imaging scanner,8 operating in tomography mode as shown in Fig. 1. The system comprises a wide-field optical excitation source and an ultrasound detection system utilizing a planar Fabry–Perot polymer thin film sensor. The transduction mechanism of the sensor is one in which acoustically induced changes in its optical thickness produce a corresponding reflectivity modulation which is detected using a continuous-wave interrogation laser beam focused on the plane of the sensor. The interrogation beam is optically scanned point-by-point over the surface of the sensor in order to map the spatial distribution of the incident acoustic field in two dimensions. A three-dimensional (3-D) photoacoustic image is then reconstructed from these measurements using a fast k-space algorithm.8 The system can provide a lateral field-of-view (FOV) of 20mm×20mm, a penetration depth in tissue of approximately 10 mm, and a spatial resolution in the range 50 to 150μm depending on depth and lateral position.8

Fig. 1

Experimental setup for imaging lymph node samples.

JBO_20_5_050504_f001.png

The lymph nodes were placed in acoustic contact with the sensor, submerged in either water or 1% intralipid solution, the latter creating a tissue-like scattering medium. The excitation source was a fiber-coupled, 30 Hz, wavelength-tunable optical parametric oscillator (OPO) laser system (Spitlight 600, InnoLas Laser GmbH, Krailling, Germany). The maximum fluence incident on the node surface was estimated to be 8mJ/cm2 per pulse. Although measurements were made in forward-mode for convenience, the transparent nature of the sensor allows convenient backward-mode operation as required for clinical use.8

Nodes were first imaged at excitation wavelengths of 530 nm, where optical absorption by Hb is strong,9 and at 1210 nm, at which there is a prominent lipid absorption peak.10 For convenient visualization, images of Hb and lipid were fused together by overlaying the Hb image on the lipid image and applying (to the Hb image) a level of opacity proportional to the image intensity. Node A only was then imaged again at 1210 nm and at 920 nm, a weaker lipid absorption peak, in order to compare the potential of imaging lipid structures at these two wavelengths. For comparison with the photoacoustic images, both nodes were also imaged using a clinical ultrasound system (ACUSON S2000, Siemens Healthcare, with a 18L6HD transducer) operated at 17 MHz, and a clinical 3T MRI system (Achieva, Philips Medical Systems) using the fat-sensitive component of an mDIXON sequence.

3.

Results and Discussion

Figure 2 shows the photoacoustic images of both nodes acquired using excitation wavelengths of 530 and 1210 nm. For node A, fly-through movies showing successive individual xy slices for each wavelength are available online and best illustrate the 3-D structure of the node. For both nodes, the 530 nm data show the blood vessels and the 1210 nm data show the fat surrounding the nodes. The vasculature within each of the nodes appears to be consistent with normal node physiology and there are apparent commonalities between the two nodes in terms of the size, structure, and distribution of the vessels. As shown in Fig. 2, MRI is able to detect the node boundary based on fat contrast but with poor resolution and the ultrasound image reveals (with relatively low-resolution) the vessels as well as the fat. The photoacoustic images allow specific identification of the source of the contrast for both Hb and lipid owing to the spectral specificity of the technique.

Fig. 2

Images of two lymph node samples (node A and node B) acquired using macroscopic photography, clinical 3T magnetic resonance imaging (MRI), ultrasound (17 MHz), and photoacoustic imaging. The photoacoustic images are maximum intensity projections of the three-dimensional (3-D) image datasets obtained at 530 nm [red: hemoglobin (Hb)] and 1210 nm (gray: lipid), fused together and visualized at two perpendicular orientations. The photoacoustic images of node A were obtained with step sizes of 50 and 100μm for the lipid and Hb data, respectively, with a field-of-view (FOV) of 9×11mm. A fly-through movie of node A can be viewed online (supplementary information online: Video 1, MOV, 6768 KB). The images of node B were obtained with 200-μm step sizes with an FOV of 10×11mm. The sensor bandwidth (3dB) for both datasets was 31 MHz [URL: http://dx.doi.org/10.1117/1.JBO.20.5.050504.1].

JBO_20_5_050504_f002.png

The results show that it is possible to use photoacoustic imaging to provide intrinsically coregistered images of Hb and lipids in human lymph nodes and to interrogate the lipid with striking clarity. The presence of the node boundary in the images provides a useful spatial context for the blood vessel distribution and it is hypothesized that it may also allow identification of small changes in nodal structure due to malignant deposits.

While the lipid boundary was detectable at 1210 nm in these experiments, the in vivo penetration depth achievable at this wavelength is likely to be limited due to strong water absorption. Experiments were, therefore, also performed at 920 nm, another lipid peak, at which both water and lipid absorption are significantly lower permitting greater penetration depth. Figure 3 shows the depth-resolved cross-sectional photoacoustic images of node A acquired in water using wavelengths of 920 and 1210 nm. Also shown is a graph of the near-infrared (NIR) absorption spectra of water, lipids, and Hb.910.11 The images show near identical features in the lipid around the node at both wavelengths. Although data are shown for selected slices only, the lipid is visible through the full depth of the node (5mm) at both wavelengths making it possible to delineate the entire boundary.

Fig. 3

(a) Photoacoustic images of node A obtained at 1210 and 920 nm and (b) near-infrared (NIR) absorption spectra of Hb, water, and lipids. The images are cross-sectional slices at selected depths as indicated. The images were obtained with a step size of 100μm, with an FOV of 9×9mm. The sensor bandwidth (3dB) was 40 MHz.

JBO_20_5_050504_f003.png

The signal-to-noise ratio (SNR) at 920 nm is lower than at 1210 nm, as expected due to the significantly higher absorption at 1210 nm and the modest penetration depths (<6mm) involved in these experiments. At greater depths in vivo, it is anticipated that 920 nm will yield a higher SNR than 1210 nm. Consider a tissue composed of 74% water, 1% blood, and 25% fat. Using typical values for the absorption coefficient, μa, of these chromophores,9,10 and the reduced scattering coefficient, μs, of fatty tissue,9 the effective attenuation coefficient for the tissue can be calculated as μeff=3μa(μa+μs). Transmittance at depth d can then be estimated by T(d)=eμeffd. Using values of 0.1 and 1.7cm1 for μa and 12.2 and 10.2cm1 for μs', for 920 and 1210 nm, respectively, μeff is calculated to be 1.9 and 7.8cm1. Using this model, at 7 mm (approximate minimum lymph node depth), the transmittance at 920 nm is 17% and at 1210 nm it is 1.2%. This corresponds approximately to the difference in absorption of lipids at the two wavelengths, therefore, the greater loss in light due to attenuation in the surrounding medium is compensated by the increased absorption attained at the higher wavelength and the predicted SNR at the two wavelengths is similar at this depth. Beyond this depth, it becomes exponentially more beneficial to use 920 nm. For example, at a depth of 12.5 mm, the calculated transmittance is 4.5% at 920 nm and 0.034% at 1210 nm which, correcting for the difference in absorption, leads to a predicted 10-fold improvement in SNR at 920 nm.

4.

Conclusion

Photoacoustic imaging has been used to obtain high-resolution 3-D images of the structure and internal vasculature of human lymph nodes based on Hb and lipid contrast. Compared with clinical ultrasound and MRI, the photoacoustic images exhibit high resolution and contrast as well as providing chromophore specificity. Lipid imaging was shown to be possible at 920 and 1210 nm excitation wavelengths. SNR at 920 nm was lower than that at 1210 nm as expected for the penetration depths relevant (<6mm) to this study. However, calculations suggest that, for greater depths, 920 nm may provide a higher SNR in vivo owing to weaker attenuation by background tissues. As well as being relevant to photoacoustic lymph node imaging, this finding may allow visualization of other lipid rich structures such as nerves at depths beyond that achievable using the more commonly used 1210 nm lipid excitation wavelength.12 It is concluded that photoacoustic imaging with endogenous contrast has the potential to assess cancer in the human lymph node by providing images of node vasculature and morphology. Further work will be undertaken to establish the clinical utility of the approach by imaging nodes with known malignant deposits and by carrying out in vivo studies.

Acknowledgments

The authors acknowledge support by King’s College London and University College London Comprehensive Cancer Imaging Centre, Cancer Research UK & Engineering and Physical Sciences Research Council, in association with the Medical Research Council and Department of Health, UK and European Union project FAMOS (FP7 ICT, Contract 317744).

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© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2015/$25.00 © 2015 SPIE
James A. Guggenheim, Thomas J. Allen, Andrew Plumb, Edward Z. Zhang, Manuel Rodriguez-Justo, Shonit Punwani, and Paul C. Beard "Photoacoustic imaging of human lymph nodes with endogenous lipid and hemoglobin contrast," Journal of Biomedical Optics 20(5), 050504 (26 May 2015). https://doi.org/10.1117/1.JBO.20.5.050504
Published: 26 May 2015
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