Biochemical “decoding” of breast ultrasound images with optoacoustic tomography fusion: First-in-human display of lipid and collagen signals on breast ultrasound

Goh, Yonggeng; Balasundaram, Ghayathri; Tan, Hui; Putti, Thomas Choudary; Tang, Siau Wei; Ng, Celene Wei Qi; Fang, Eric; Moothanchery, Mohesh; Bi, Renzhe; Olivo, Malini; Quek, Swee Tian

doi:10.1016/j.pacs.2022.100377

Cited by 7 publications

(7 citation statements)

References 14 publications

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“…Recently, US and optoacoustic tomography fusion has demonstrated the ability to decode the distribution of lipids and collagen, aiming at differentiating benign and malignant lesions on the breast [ 53 ]. This holds great potential in an intra-operative setting to evaluate tumour margins.…”

Section: Intraoperative Imaging Modalities To Improve Surgical Precisionmentioning

confidence: 99%

Image-guided cancer surgery: a narrative review on imaging modalities and emerging nanotechnology strategies

et al. 2023

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Surgical resection is the cornerstone of solid tumour treatment. Current techniques for evaluating margin statuses, such as frozen section, imprint cytology, and intraoperative ultrasound, are helpful. However, an intraoperative assessment of tumour margins that is accurate and safe is clinically necessary. Positive surgical margins (PSM) have a well-documented negative effect on treatment outcomes and survival. As a result, surgical tumour imaging methods are now a practical method for reducing PSM rates and improving the efficiency of debulking surgery. Because of their unique characteristics, nanoparticles can function as contrast agents in image-guided surgery. While most image-guided surgical applications utilizing nanotechnology are now in the preclinical stage, some are beginning to reach the clinical phase. Here, we list the various imaging techniques used in image-guided surgery, such as optical imaging, ultrasound, computed tomography, magnetic resonance imaging, nuclear medicine imaging, and the most current developments in the potential of nanotechnology to detect surgical malignancies. In the coming years, we will see the evolution of nanoparticles tailored to specific tumour types and the introduction of surgical equipment to improve resection accuracy. Although the promise of nanotechnology for producing exogenous molecular contrast agents has been clearly demonstrated, much work remains to be done to put it into practice. Graphical Abstract

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Section: Intraoperative Imaging Modalities To Improve Surgical Precisionmentioning

confidence: 99%

Image-guided cancer surgery: a narrative review on imaging modalities and emerging nanotechnology strategies

et al. 2023

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“…Multispectral photoacoustic imaging can be used for functional imaging, such as measuring blood oxygen saturation and metabolism in biological tissues [8]. In addition to applying multispectral photoacoustic imaging to differentiate oxyhemoglobin from deoxyhemoglobin in breast cancer, ultrasound and photoacoustic tomography (US-OT) can reveal differences in lipids and collagen in breast fibroglandular tissue, providing more clinically meaningful insights for diagnosis [9]. Photoacoustic imaging provides both structural and functional information that can potentially reveal novel insights into biological processes and disease pathologies [10].…”

Section: Introductionmentioning

confidence: 99%

Fourier Neural Operator Network for Fast Photoacoustic Wave Simulations

2023

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Simulation tools for photoacoustic wave propagation have played a key role in advancing photoacoustic imaging by providing quantitative and qualitative insights into parameters affecting image quality. Classical methods for numerically solving the photoacoustic wave equation rely on a fine discretization of space and can become computationally expensive for large computational grids. In this work, we applied Fourier Neural Operator (FNO) networks as a fast data-driven deep learning method for solving the 2D photoacoustic wave equation in a homogeneous medium. Comparisons between the FNO network and pseudo-spectral time domain approach were made for the forward and adjoint simulations. Results demonstrate that the FNO network generated comparable simulations with small errors and was orders of magnitude faster than the pseudo-spectral time domain methods (~26× faster on a 64 × 64 computational grid and ~15× faster on a 128 × 128 computational grid). Moreover, the FNO network was generalizable to the unseen out-of-domain test set with a root-mean-square error of 9.5 × 10−3 in Shepp–Logan, 1.5 × 10−2 in synthetic vasculature, 1.1 × 10−2 in tumor and 1.9 × 10−2 in Mason-M phantoms on a 64 × 64 computational grid and a root mean squared of 6.9 ± 5.5 × 10−3 in the AWA2 dataset on a 128 × 128 computational grid.

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“…20 More recently, lipids and collagen have been mapped using optoacoustic tomography in ex vivo breast tissue, which could provide new ways to detect and localise breast tumours. 21 Specifically, Kosik et al . developed a lipid-weighted Intraoperative Photoacoustic Screening scanner, which was used to measure breast lumpectomy specimens.…”

Section: Introductionmentioning

confidence: 99%

High wavenumber Raman spectroscopy for intraoperative assessment of breast tumour margins

Haskell¹,

Hubbard²,

Murray³

et al. 2023

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Biochemical “decoding” of breast ultrasound images with optoacoustic tomography fusion: First-in-human display of lipid and collagen signals on breast ultrasound

Cited by 7 publications

References 14 publications

Image-guided cancer surgery: a narrative review on imaging modalities and emerging nanotechnology strategies

Image-guided cancer surgery: a narrative review on imaging modalities and emerging nanotechnology strategies

Fourier Neural Operator Network for Fast Photoacoustic Wave Simulations

High wavenumber Raman spectroscopy for intraoperative assessment of breast tumour margins

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