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Li G, Huang Z, Luo H, Tian H, Ding Z, Deng Y, Xu J, Wu H, Dong F. Photoacoustic Imaging Radiomics to Identify Breast Cancer in BI-RADS 4 or 5 Lesions. Clin Breast Cancer 2024; 24:e379-e388.e1. [PMID: 38548517 DOI: 10.1016/j.clbc.2024.02.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 02/19/2024] [Accepted: 02/22/2024] [Indexed: 06/23/2024]
Abstract
OBJECTIVES To develop a nomogram based on photoacoustic imaging (PAI) radiomics and BI-RADs to identify breast cancer (BC) in BI-RADS 4 or 5 lesions detected by ultrasound (US). METHODS In this retrospective study, 119 females with 119 breast lesions at US and PAI examination were included (January 2022 to December 2022). Patients were divided into the training set (n = 83) or testing set (n = 36) to develop a nomogram to identify BC in BI-RADS 4 or 5 lesions. Relevant factors at clinic, BI-RADS category, and PAI were reviewed. Univariate and multivariate regression was used to evaluate factors for associations with BC. To evaluate the diagnostic performance of nomogram, the area under the curve (AUC) of receiver operating characteristic curve, accuracy, specificity and sensitivity was employed. RESULTS The nomogram that included BI-RADS category and PAI radiomics score demonstrated a high AUC of 0.925 (95%CI: 0.8467-0.9712) in the training set and 0.926 (95%CI: 0.846-1.000) in the test set. The nomogram also showed significantly better discrimination than the radiomics score (P = .048) or BI-RADS category (P = .009) in the training set. These significant differences were demonstrated in the testing set, outperform the radiomics score (P = .038) and BI-RADS category (P = .013). CONCLUSIONS The nomogram developed with BI-RADS and PAI radiomics score can effectively identify BC in BI-RADS 4 or 5 lesions. This technique has the potential to further improve early diagnostic accuracy for BC.
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Affiliation(s)
- Guoqiu Li
- Department of Ultrasound, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, Guangdong, China
| | - Zhibin Huang
- Department of Ultrasound, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, Guangdong, China
| | - Hui Luo
- Department of Ultrasound, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, Guangdong, China
| | - Hongtian Tian
- Department of Ultrasound, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, Guangdong, China
| | - Zhimin Ding
- Department of Ultrasound, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, Guangdong, China
| | - Yaohong Deng
- Department of Research & Development, Yizhun Medical AI Co. Ltd., Beijing, China
| | - Jinfeng Xu
- Department of Ultrasound, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, Guangdong, China.
| | - Huaiyu Wu
- Department of Ultrasound, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, Guangdong, China.
| | - Fajin Dong
- Department of Ultrasound, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, Guangdong, China.
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Folz J, Jo J, Gonzalez ME, Eido A, Zhai T, Caruso R, Kleer CG, Wang X, Kopelman R. Photoacoustic lifetime oxygen imaging of radiotherapy-induced tumor reoxygenation In Vivo. JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY 2024; 21:100241. [PMID: 39005728 PMCID: PMC11243757 DOI: 10.1016/j.jpap.2024.100241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/16/2024] Open
Abstract
Purpose Early detection and diagnosis of cancer is critical for achieving positive therapeutic outcomes. Biomarkers that can provide clinicians with clues to the outcome of a given therapeutic course are highly desired. Oxygen is a small molecule that is nearly universally present in biological tissues and plays a critical role in the effectiveness of radiotherapies by reacting with DNA radicals and subsequently impairing cellular repair of double strand breaks.Techniques for measuring oxygen in biological tissues often use blood oxygen saturation to approximate the oxygen partial pressure in surrounding tissues despite the complex, nonlinear, and dynamic relationship between these two separate oxygen populations. Methods and materials We combined a directly oxygen-sensitive, tumor-targeted, chemical contrast nanoelement with the photoacoustic lifetime-based (PALT) oxygen imaging technique to obtain image maps of oxygen in breast cancer tumors in vivo. The oxygen levels of patient-derived xenografts in a mouse model were characterized before and after a course of radiotherapy. Results We show that, independent of tumor size, radiotherapy induced an increase in the overall oxygenation levels of the tumor. Further, this increase in the oxygenation of the tumor significantly correlated with a positive response to radiotherapy, as demonstrated by a reduction in tumor volume over the twenty-day monitoring period following therapy and histological staining. Conclusion Our PALT imaging presented here is simple, fast, and non-invasive. Facilized by the PALT approach, imaging of tumor reoxygenation may be utilized as a simple, early indicator for evaluating cancer response to radiotherapy. Further characterization of the reoxygenation degree, temporal onset, and possible theragnostic implications are warranted.
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Affiliation(s)
- Jeff Folz
- Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA
| | - Janggun Jo
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
| | - Maria E. Gonzalez
- Department of Pathology, University of Michigan Health System, Ann Arbor, MI 48109, USA
- Rogel Cancer Center, University of Michigan Health System, Ann Arbor, MI 48109, USA
| | - Ahmad Eido
- Department of Pathology, University of Michigan Health System, Ann Arbor, MI 48109, USA
- Rogel Cancer Center, University of Michigan Health System, Ann Arbor, MI 48109, USA
| | - Tianqu Zhai
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
| | - Roberta Caruso
- Department of Pathology, University of Michigan Health System, Ann Arbor, MI 48109, USA
- Rogel Cancer Center, University of Michigan Health System, Ann Arbor, MI 48109, USA
| | - Celina G. Kleer
- Department of Pathology, University of Michigan Health System, Ann Arbor, MI 48109, USA
- Rogel Cancer Center, University of Michigan Health System, Ann Arbor, MI 48109, USA
| | - Xueding Wang
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
| | - Raoul Kopelman
- Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA
- Rogel Cancer Center, University of Michigan Health System, Ann Arbor, MI 48109, USA
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Hill M, Chung SJ, Woo HJ, Park CR, Hadrick K, Nafiujjaman M, Kumar PP, Mwangi L, Parikh R, Kim T. Exosome-Coated Prussian Blue Nanoparticles for Specific Targeting and Treatment of Glioblastoma. ACS APPLIED MATERIALS & INTERFACES 2024; 16. [PMID: 38598311 PMCID: PMC11056931 DOI: 10.1021/acsami.4c02364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 03/20/2024] [Accepted: 03/27/2024] [Indexed: 04/12/2024]
Abstract
Glioblastoma is one of the most aggressive and invasive types of brain cancer with a 5-year survival rate of 6.8%. With limited options, patients often have poor quality of life and are moved to palliative care after diagnosis. As a result, there is an extreme need for a novel theranostic method that allows for early diagnosis and noninvasive treatment as current peptide-based delivery standards may have off-target effects. Prussian Blue nanoparticles (PBNPs) have recently been investigated as photoacoustic imaging (PAI) and photothermal ablation agents. However, due to their inability to cross the blood-brain barrier (BBB), their use in glioblastoma treatment is limited. By utilizing a hybrid, biomimetic nanoparticle composed of a PBNP interior and a U-87 cancer cell-derived exosome coating (Exo:PB), we show tumor-specific targeting within the brain and selective thermal therapy potential due to the strong photoconversion abilities. Particle characterization was carried out and showed a complete coating around the PBNPs that contains exosome markers. In vitro cellular uptake patterns are similar to native U-87 exosomes and when exposed to an 808 nm laser, show localized cell death within the specified region. After intravenous injection of Exo:PB into subcutaneously implanted glioblastoma mice, they have shown effective targeting and eradication of tumor volume compared to PEG-coated PBNPs (PEG:PB). Through systemic administration of Exo:PB particles into orthotopic glioblastoma-bearing mice, the PBNP signal was detected in the brain tumor region through PAI. It was seen that Exo:PB had preferential tumor accumulation with less off-targeting compared to the RGD:PB control. Ex vivo analysis validated specific targeting with a direct overlay of Exo:PB with the tumor by both H&E staining and Ki67 labeling. Overall, we have developed a novel biomimetic material that can naturally cross the BBB and act as a theranostic agent for systemic targeting of glioblastoma tissue and photothermal therapeutic effect.
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Affiliation(s)
- Meghan
L. Hill
- Department
of Biomedical Engineering, Department of Chemical Engineering and
Materials Science, Department of Human Biology, Lyman Briggs Honors College, and Institute for Quantitative
Health Science and Engineering, Michigan
State University, East Lansing, Michigan 48824, United States
| | - Seock-Jin Chung
- Department
of Biomedical Engineering, Department of Chemical Engineering and
Materials Science, Department of Human Biology, Lyman Briggs Honors College, and Institute for Quantitative
Health Science and Engineering, Michigan
State University, East Lansing, Michigan 48824, United States
| | - Hyun-Joo Woo
- Department
of Biomedical Engineering, Department of Chemical Engineering and
Materials Science, Department of Human Biology, Lyman Briggs Honors College, and Institute for Quantitative
Health Science and Engineering, Michigan
State University, East Lansing, Michigan 48824, United States
| | - Cho Rong Park
- Department
of Biomedical Engineering, Department of Chemical Engineering and
Materials Science, Department of Human Biology, Lyman Briggs Honors College, and Institute for Quantitative
Health Science and Engineering, Michigan
State University, East Lansing, Michigan 48824, United States
| | - Kay Hadrick
- Department
of Biomedical Engineering, Department of Chemical Engineering and
Materials Science, Department of Human Biology, Lyman Briggs Honors College, and Institute for Quantitative
Health Science and Engineering, Michigan
State University, East Lansing, Michigan 48824, United States
| | - Md Nafiujjaman
- Department
of Biomedical Engineering, Department of Chemical Engineering and
Materials Science, Department of Human Biology, Lyman Briggs Honors College, and Institute for Quantitative
Health Science and Engineering, Michigan
State University, East Lansing, Michigan 48824, United States
| | - Panangattukara
Prabhakaran Praveen Kumar
- Department
of Biomedical Engineering, Department of Chemical Engineering and
Materials Science, Department of Human Biology, Lyman Briggs Honors College, and Institute for Quantitative
Health Science and Engineering, Michigan
State University, East Lansing, Michigan 48824, United States
| | - Leila Mwangi
- Department
of Biomedical Engineering, Department of Chemical Engineering and
Materials Science, Department of Human Biology, Lyman Briggs Honors College, and Institute for Quantitative
Health Science and Engineering, Michigan
State University, East Lansing, Michigan 48824, United States
| | - Rachna Parikh
- Department
of Biomedical Engineering, Department of Chemical Engineering and
Materials Science, Department of Human Biology, Lyman Briggs Honors College, and Institute for Quantitative
Health Science and Engineering, Michigan
State University, East Lansing, Michigan 48824, United States
| | - Taeho Kim
- Department
of Biomedical Engineering, Department of Chemical Engineering and
Materials Science, Department of Human Biology, Lyman Briggs Honors College, and Institute for Quantitative
Health Science and Engineering, Michigan
State University, East Lansing, Michigan 48824, United States
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Cooley MB, Wegierak D, Exner AA. Using imaging modalities to predict nanoparticle distribution and treatment efficacy in solid tumors: The growing role of ultrasound. WILEY INTERDISCIPLINARY REVIEWS. NANOMEDICINE AND NANOBIOTECHNOLOGY 2024; 16:e1957. [PMID: 38558290 PMCID: PMC11006412 DOI: 10.1002/wnan.1957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 12/22/2023] [Accepted: 02/27/2024] [Indexed: 04/04/2024]
Abstract
Nanomedicine in oncology has not had the success in clinical impact that was anticipated in the early stages of the field's development. Ideally, nanomedicines selectively accumulate in tumor tissue and reduce systemic side effects compared to traditional chemotherapeutics. However, this has been more successful in preclinical animal models than in humans. The causes of this failure to translate may be related to the intra- and inter-patient heterogeneity of the tumor microenvironment. Predicting whether a patient will respond positively to treatment prior to its initiation, through evaluation of characteristics like nanoparticle extravasation and retention potential in the tumor, may be a way to improve nanomedicine success rate. While there are many potential strategies to accomplish this, prediction and patient stratification via noninvasive medical imaging may be the most efficient and specific strategy. There have been some preclinical and clinical advances in this area using MRI, CT, PET, and other modalities. An alternative approach that has not been studied as extensively is biomedical ultrasound, including techniques such as multiparametric contrast-enhanced ultrasound (mpCEUS), doppler, elastography, and super-resolution processing. Ultrasound is safe, inexpensive, noninvasive, and capable of imaging the entire tumor with high temporal and spatial resolution. In this work, we summarize the in vivo imaging tools that have been used to predict nanoparticle distribution and treatment efficacy in oncology. We emphasize ultrasound imaging and the recent developments in the field concerning CEUS. The successful implementation of an imaging strategy for prediction of nanoparticle accumulation in tumors could lead to increased clinical translation of nanomedicines, and subsequently, improved patient outcomes. This article is categorized under: Diagnostic Tools In Vivo Nanodiagnostics and Imaging Therapeutic Approaches and Drug Discovery Nanomedicine for Oncologic Disease Therapeutic Approaches and Drug Discovery Emerging Technologies.
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Affiliation(s)
- Michaela B Cooley
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - Dana Wegierak
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - Agata A Exner
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
- Department of Radiology, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, Ohio, USA
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Prakash R, Manwar R, Avanaki K. Evaluation of 10 current image reconstruction algorithms for linear array photoacoustic imaging. JOURNAL OF BIOPHOTONICS 2024; 17:e202300117. [PMID: 38010300 DOI: 10.1002/jbio.202300117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 10/15/2023] [Accepted: 11/09/2023] [Indexed: 11/29/2023]
Abstract
Various reconstruction algorithms have been implemented for linear array photoacoustic imaging systems with the goal of accurately reconstructing the strength absorbers within the tissue being imaged. Since the existing algorithms have been introduced by different research groups and the context of performance evaluation was not consistent, it is difficult to make a fair comparison between them. In this study, we systematically compared the performance of 10 published image reconstruction algorithms (DAS, UBP, pDAS, DMAS, MV, EIGMV, SLSC, GSC, TR, and FD) using in-vitro phantom data. Evaluations were conducted based on lateral resolution of the reconstructed images, computational time, target detectability, and noise sensitivity. We anticipate the outcome of this study will assist researchers in selecting appropriate algorithms for their linear array PA imaging applications.
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Affiliation(s)
- Ravi Prakash
- The Richard and Loan Hill, Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Rayyan Manwar
- The Richard and Loan Hill, Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Kamran Avanaki
- The Richard and Loan Hill, Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, Illinois, USA
- Department of Dermatology, University of Illinois at Chicago, Chicago, Illinois, USA
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Villalobos A, Lee J, Westergaard SA, Kokabi N. Impact of Hypoxia on Radiation-Based Therapies for Liver Cancer. Cancers (Basel) 2024; 16:876. [PMID: 38473237 DOI: 10.3390/cancers16050876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 02/13/2024] [Accepted: 02/15/2024] [Indexed: 03/14/2024] Open
Abstract
Background: Hypoxia, a state of low oxygen level within a tissue, is often present in primary and secondary liver tumors. At the molecular level, the tumor cells' response to hypoxic stress induces proteomic and genomic changes which are largely regulated by proteins called hypoxia-induced factors (HIF). These proteins have been found to drive tumor progression and cause resistance to drug- and radiation-based therapies, ultimately contributing to a tumor's poor prognosis. Several imaging modalities have been developed to visualize tissue hypoxia, providing insight into a tumor's microbiology. Methods: A systematic literature search was conducted in PubMed, EMBASE, Cochrane, and Google Scholar for all reports related to hypoxia on liver tumors. All relevant studies were summarized. Results: This review will focus on the impact of hypoxia on liver tumors and review PET-, MRI-, and SPECT-based imaging modalities that have been developed to predict and assess a tumor's response to radiation therapy, with a focus on liver cancers. Conclusion: While there are numerous studies that have evaluated the impact of hypoxia on tumor outcomes, there remains a relative paucity of data evaluating and quantifying hypoxia within the liver. Novel and developing non-invasive imaging techniques able to provide functional and physiological information on tumor hypoxia within the liver may be able to assist in the treatment planning of primary and metastatic liver lesions.
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Affiliation(s)
- Alexander Villalobos
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Jean Lee
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA 30322, USA
| | | | - Nima Kokabi
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
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Wang XY, Yao DF, Ren G. Progress in research of tumor biomarkers and molecular imaging probes for gastric cancer. Shijie Huaren Xiaohua Zazhi 2024; 32:1-7. [DOI: 10.11569/wcjd.v32.i1.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/10/2023] [Accepted: 01/11/2024] [Indexed: 01/26/2024] Open
Abstract
Gastric cancer is a malignant tumor still associated with high morbidity and mortality worldwide. Its onset is relatively insidious, and when detected, it is already at an advanced stage, lacks effective individualized treatments, and has a poor prognosis. If gastric cancer can be diagnosed at an early stage, the survival rate of patients can be greatly improved. However, traditional imaging modalities lack specificity and sensitivity. In recent years, molecular imaging technology is booming, which can non-invasively and dynamically monitor gastric cancer at the cellular and molecular levels, and provide more reference information for clinical selection of treatment options and assessment of efficacy and prognosis. This article reviews the biomarkers of gastric cancer and molecular probes in various imaging modalities.
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Affiliation(s)
- Xiao-Yu Wang
- Gang-Ren, Department of Radiology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University of Medicine, Shanghai 200092, China
| | - De-Fan Yao
- Gang-Ren, Department of Radiology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University of Medicine, Shanghai 200092, China
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Xu L, Sun H, Lemoine NR, Xuan Y, Wang P. Oncolytic vaccinia virus and cancer immunotherapy. Front Immunol 2024; 14:1324744. [PMID: 38283361 PMCID: PMC10811104 DOI: 10.3389/fimmu.2023.1324744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 12/29/2023] [Indexed: 01/30/2024] Open
Abstract
Oncolytic virotherapy (OVT) is a promising form of cancer treatment that uses genetically engineered viruses to replicate within cancer cells and trigger anti-tumor immune response. In addition to killing cancer cells, oncolytic viruses can also remodel the tumor microenvironment and stimulate a long-term anti-tumor immune response. Despite achieving positive results in cellular and organismal studies, there are currently only a few approved oncolytic viruses for clinical use. Vaccinia virus (VACV) has emerged as a potential candidate due to its ability to infect a wide range of cancer cells. This review discusses the mechanisms, benefits, and clinical trials of oncolytic VACVs. The safety and efficacy of different viral backbones are explored, as well as the effects of oncolytic VACVs on the tumor microenvironment. The potential combination of oncolytic VACVs with immunotherapy or traditional therapies is also highlighted. The review concludes by addressing prospects and challenges in the field of oncolytic VACVs, with the aim of promoting further research and application in cancer therapy.
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Affiliation(s)
- Lihua Xu
- Sino-British Research Centre for Molecular Oncology, National Centre for International Research in Cell and Gene Therapy, State Key Laboratory of Esophageal Cancer Prevention & Treatment, School of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China
| | - Huihui Sun
- Sino-British Research Centre for Molecular Oncology, National Centre for International Research in Cell and Gene Therapy, State Key Laboratory of Esophageal Cancer Prevention & Treatment, School of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China
| | - Nicholas R. Lemoine
- Sino-British Research Centre for Molecular Oncology, National Centre for International Research in Cell and Gene Therapy, State Key Laboratory of Esophageal Cancer Prevention & Treatment, School of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China
- Centre for Biomarkers & Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Yujing Xuan
- Sino-British Research Centre for Molecular Oncology, National Centre for International Research in Cell and Gene Therapy, State Key Laboratory of Esophageal Cancer Prevention & Treatment, School of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China
| | - Pengju Wang
- Sino-British Research Centre for Molecular Oncology, National Centre for International Research in Cell and Gene Therapy, State Key Laboratory of Esophageal Cancer Prevention & Treatment, School of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China
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Fakhoury JW, Lara JB, Manwar R, Zafar M, Xu Q, Engel R, Tsoukas MM, Daveluy S, Mehregan D, Avanaki K. Photoacoustic imaging for cutaneous melanoma assessment: a comprehensive review. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:S11518. [PMID: 38223680 PMCID: PMC10785699 DOI: 10.1117/1.jbo.29.s1.s11518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 12/07/2023] [Accepted: 12/21/2023] [Indexed: 01/16/2024]
Abstract
Significance Cutaneous melanoma (CM) has a high morbidity and mortality rate, but it can be cured if the primary lesion is detected and treated at an early stage. Imaging techniques such as photoacoustic (PA) imaging (PAI) have been studied and implemented to aid in the detection and diagnosis of CM. Aim Provide an overview of different PAI systems and applications for the study of CM, including the determination of tumor depth/thickness, cancer-related angiogenesis, metastases to lymph nodes, circulating tumor cells (CTCs), virtual histology, and studies using exogenous contrast agents. Approach A systematic review and classification of different PAI configurations was conducted based on their specific applications for melanoma detection. This review encompasses animal and preclinical studies, offering insights into the future potential of PAI in melanoma diagnosis in the clinic. Results PAI holds great clinical potential as a noninvasive technique for melanoma detection and disease management. PA microscopy has predominantly been used to image and study angiogenesis surrounding tumors and provide information on tumor characteristics. Additionally, PA tomography, with its increased penetration depth, has demonstrated its ability to assess melanoma thickness. Both modalities have shown promise in detecting metastases to lymph nodes and CTCs, and an all-optical implementation has been developed to perform virtual histology analyses. Animal and human studies have successfully shown the capability of PAI to detect, visualize, classify, and stage CM. Conclusions PAI is a promising technique for assessing the status of the skin without a surgical procedure. The capability of the modality to image microvasculature, visualize tumor boundaries, detect metastases in lymph nodes, perform fast and label-free histology, and identify CTCs could aid in the early diagnosis and classification of CM, including determination of metastatic status. In addition, it could be useful for monitoring treatment efficacy noninvasively.
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Affiliation(s)
- Joseph W. Fakhoury
- Wayne State University School of Medicine, Detroit, Michigan, United States
| | - Juliana Benavides Lara
- University of Illinois at Chicago, Richard and Loan Hill Department of Bioengineering, Chicago, Illinois, United States
| | - Rayyan Manwar
- University of Illinois at Chicago, Richard and Loan Hill Department of Bioengineering, Chicago, Illinois, United States
| | - Mohsin Zafar
- University of Illinois at Chicago, Richard and Loan Hill Department of Bioengineering, Chicago, Illinois, United States
| | - Qiuyun Xu
- Wayne State University, Department of Biomedical Engineering, Detroit, Michigan, United States
| | - Ricardo Engel
- Wayne State University School of Medicine, Detroit, Michigan, United States
| | - Maria M. Tsoukas
- University of Illinois at Chicago, Department of Dermatology, Chicago, Illinois, United States
| | - Steven Daveluy
- Wayne State University School of Medicine, Department of Dermatology, Detroit, Michigan, United States
| | - Darius Mehregan
- Wayne State University School of Medicine, Department of Dermatology, Detroit, Michigan, United States
| | - Kamran Avanaki
- University of Illinois at Chicago, Richard and Loan Hill Department of Bioengineering, Chicago, Illinois, United States
- University of Illinois at Chicago, Department of Dermatology, Chicago, Illinois, United States
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Liu H, Wang M, Ji F, Jiang Y, Yang M. Mini review of photoacoustic clinical imaging: a noninvasive tool for disease diagnosis and treatment evaluation. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:S11522. [PMID: 38230369 PMCID: PMC10790789 DOI: 10.1117/1.jbo.29.s1.s11522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 12/05/2023] [Accepted: 12/14/2023] [Indexed: 01/18/2024]
Abstract
Significance Photoacoustic (PA) imaging is an imaging modality that integrates anatomical, functional, metabolic, and histologic insights. It has been a hot topic of medical research and draws extensive attention. Aim This review aims to explore the applications of PA clinical imaging in human diseases, highlighting recent advancements. Approach A systemic survey of the literature concerning the clinical utility of PA imaging was conducted, with a particular focus on its application in tumors, autoimmune diseases, inflammatory conditions, and endocrine disorders. Results PA imaging is emerging as a valuable tool for human disease investigation. Information provided by PA imaging can be used for diagnosis, grading, and prognosis in multiple types of tumors including breast tumors, ovarian neoplasms, thyroid nodules, and cutaneous malignancies. PA imaging facilitates the monitoring of disease activity in autoimmune and inflammatory diseases such as rheumatoid arthritis, systemic sclerosis, arteritis, and inflammatory bowel disease by capturing dynamic functional alterations. Furthermore, its unique capability of visualizing vascular structure and oxygenation levels aids in assessing diabetes mellitus comorbidities and thyroid function. Conclusions Despite extant challenges, PA imaging offers a promising noninvasive tool for precision disease diagnosis, long-term evaluation, and prognosis anticipation, making it a potentially significant imaging modality for clinical practice.
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Affiliation(s)
- Huazhen Liu
- Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, Department of Ultrasound, Beijing, China
| | - Ming Wang
- Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, Department of Ultrasound, Beijing, China
| | - Fei Ji
- Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, Department of Ultrasound, Beijing, China
| | - Yuxin Jiang
- Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, Department of Ultrasound, Beijing, China
| | - Meng Yang
- Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, Department of Ultrasound, Beijing, China
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