Clinical theranostics applications of photo-acoustic imaging as a future prospect for cancer

Zare, Amir; Shamshiripour, Parisa; Lotfi, Shahla; Shahin, Mohadese; Rad, Vahideh Farzam; Moradi, Ali‐Reza; Hajiahmadi, Fahimeh; Ahmadvand, Davoud

doi:10.1016/j.jconrel.2022.09.016

Cited by 14 publications

(4 citation statements)

References 125 publications

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“…Conventional Doppler US is also useful for identifying nonhilar peripheral blood flow seen in metastatic ALNs [ 24 ], but it only detects rapid flow, producing highly fragmented, patchy images of vasculature, making the structural analysis of microvessels impossible. Other imaging modalities, such as Photoacoustic imaging, have been employed to visualize microvasculature structure [ 25 ]; though, it is only applicable for superficial tumors [ 26 ]. Recently, superb microvascular imaging (SMI) [ 27 ] and microflow imaging [ 28 ] modalities have been investigated for detecting metastatic ALN, without using a contrast agent; however, the diagnosis is mostly based on pixel counting and visual inspection.…”

Section: Introductionmentioning

confidence: 99%

Noninvasive prediction of axillary lymph node breast cancer metastasis using morphometric analysis of nodal tumor microvessels in a contrast-free ultrasound approach

et al. 2023

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Purpose Changes in microcirculation of axillary lymph nodes (ALNs) may indicate metastasis. Reliable noninvasive imaging technique to quantify such variations is lacking. We aim to develop and investigate a contrast-free ultrasound quantitative microvasculature imaging technique for detection of metastatic ALN in vivo. Experimental design The proposed ultrasound-based technique, high-definition microvasculature imaging (HDMI) provides superb images of tumor microvasculature at sub-millimeter size scales and enables quantitative analysis of microvessels structures. We evaluated the new HDMI technique on 68 breast cancer patients with ultrasound-identified suspicious ipsilateral axillary lymph nodes recommended for fine needle aspiration biopsy (FNAB). HDMI was conducted before the FNAB and vessel morphological features were extracted, analyzed, and the results were correlated with the histopathology. Results Out of 15 evaluated quantitative HDMI biomarkers, 11 were significantly different in metastatic and reactive ALNs (10 with P << 0.01 and one with 0.01 < P < 0.05). We further showed that through analysis of these biomarkers, a predictive model trained on HDMI biomarkers combined with clinical information (i.e., age, node size, cortical thickness, and BI-RADS score) could identify metastatic lymph nodes with an area under the curve of 0.9 (95% CI [0.82,0.98]), sensitivity of 90%, and specificity of 88%. Conclusions The promising results of our morphometric analysis of HDMI on ALNs offer a new means of detecting lymph node metastasis when used as a complementary imaging tool to conventional ultrasound. The fact that it does not require injection of contrast agents simplifies its use in routine clinical practice.

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Section: Introductionmentioning

confidence: 99%

Noninvasive prediction of axillary lymph node breast cancer metastasis using morphometric analysis of nodal tumor microvessels in a contrast-free ultrasound approach

et al. 2023

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“…In summative contemplation, the realm of PA imaging is continually evolving, 150 – 153 with advancements spanning both hardware and software domains that are meticulously tailored to surmount the intrinsic impediments. These strides hold the promise of significantly enhancing the accuracy, resolution, and reliability of PACT, positioning it as an invaluable tool in diverse biomedical applications, particularly for the high-fidelity imaging of biological tissues and structures.…”

Section: Discussionmentioning

confidence: 99%

Challenges and advances in two-dimensional photoacoustic computed tomography: a review

Zhang,

Miao,

2024

J. Biomed. Opt.

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Photoacoustic computed tomography (PACT), a hybrid imaging modality combining optical excitation with acoustic detection, has rapidly emerged as a prominent biomedical imaging technique.Aim: We review the challenges and advances of PACT, including (1) limited view, (2) anisotropy resolution, (3) spatial aliasing, (4) acoustic heterogeneity (speed of sound mismatch), and (5) fluence correction of spectral unmixing.Approach: We performed a comprehensive literature review to summarize the key challenges in PACT toward practical applications and discuss various solutions.Results: There is a wide range of contributions from both industry and academic spaces. Various approaches, including emerging deep learning methods, are proposed to improve the performance of PACT further. Conclusions:We outline contemporary technologies aimed at tackling the challenges in PACT applications.

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“…With the ability of noninvasively realizing structural and functional imaging for biological tissue, photoacoustic imaging (PAI), a burgeoning hybrid imaging modality, has shown significant potential in clinical applications [1][2][3][4][5][6][7][8]. However, stemming from PA signal's weak amplitude and strong random noise from external instrument and environment, PA signals and images obtained originally show low signal-to-noise ratio (SNR).…”

Section: Introductionmentioning

confidence: 99%

Adaptive denoising of photoacoustic signal and image based on modified Kalman filter

Huang

et al. 2023

Journal of Biophotonics

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As a burgeoning medical imaging method based on hybrid fusion of light and ultrasound, photoacoustic imaging (PAI) has demonstrated high potential in various biomedical applications, especially in revealing the functional and molecular information to improve diagnostic accuracy. However, stemming from weak amplitude and unavoidable random noise, caused by limited laser power and severe attenuation in deep tissue imaging, PA signals are usually of low signal‐to‐noise ratio, and reconstructed PA images are of low quality. Despite that conventional Kalman filter (KF) can remove Gaussian noise in time domain, it lacks adaptability in real‐time estimation due to its fixed model. Moreover, KF‐based denoising algorithm has not been applied in PAI before. In this paper, we propose an adaptive modified KF (MKF) targeted at PAI denoising by tuning system noise matrix Q and measurement noise matrix R in the conventional KF model. Additionally, in order to compensate the signal skewing caused by MKF, we cascade the backward part of Rauch–Tung–Striebel smoother, which utilizes the newly determined Q. Finally, as a supplement, we add a commonly used differential filter to remove in‐band reflection artifacts. Experimental results using phantom and ex vivo colorectal tissue are provided to prove validity of the algorithm.

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Clinical theranostics applications of photo-acoustic imaging as a future prospect for cancer

Cited by 14 publications

References 125 publications

Noninvasive prediction of axillary lymph node breast cancer metastasis using morphometric analysis of nodal tumor microvessels in a contrast-free ultrasound approach

Noninvasive prediction of axillary lymph node breast cancer metastasis using morphometric analysis of nodal tumor microvessels in a contrast-free ultrasound approach

Challenges and advances in two-dimensional photoacoustic computed tomography: a review

Adaptive denoising of photoacoustic signal and image based on modified Kalman filter

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