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Respiratory Medicine Aug 2018Acute respiratory failure (ARF) is a common life-threatening medical condition, with multiple underlying aetiologies. Diagnostic chest ultrasound provides accurate... (Review)
Review
Acute respiratory failure (ARF) is a common life-threatening medical condition, with multiple underlying aetiologies. Diagnostic chest ultrasound provides accurate diagnosis of conditions that commonly cause ARF, and may improve overall diagnostic accuracy in critical care settings as compared to standard diagnostic approaches. Respiratory physicians are becoming increasingly familiar with ultrasound as a part of routine clinical practice, although the majority of data to date has focused on the emergency and intensive care settings. This review will examine the evidence for the use of diagnostic chest ultrasound, focusing on different levels of imaging efficacy; specifically ultrasound test attributes, impacts on clinician behaviour and impact on health outcomes. The evidence behind use of multi-modality ultrasound examinations in ARF will be reviewed. It is hoped that readers will become familiar with the advantages and potential issues with chest ultrasound, as well as evidence gaps in the field.
Topics: Acute Disease; Hospital Mortality; Humans; Intensive Care Units; Multimodal Imaging; Outcome Assessment, Health Care; Predictive Value of Tests; Respiratory Insufficiency; Thorax; Treatment Outcome; Ultrasonography
PubMed: 30053969
DOI: 10.1016/j.rmed.2018.06.018 -
Theranostics 2014Cancer is a major threat to human health. Diagnosis and treatment using precision medicine is expected to be an effective method for preventing the initiation and... (Review)
Review
Cancer is a major threat to human health. Diagnosis and treatment using precision medicine is expected to be an effective method for preventing the initiation and progression of cancer. Although anatomical and functional imaging techniques such as radiography, computed tomography (CT), magnetic resonance imaging (MRI) and positron emission tomography (PET) have played an important role for accurate preoperative diagnostics, for the most part these techniques cannot be applied intraoperatively. Optical molecular imaging is a promising technique that provides a high degree of sensitivity and specificity in tumor margin detection. Furthermore, existing clinical applications have proven that optical molecular imaging is a powerful intraoperative tool for guiding surgeons performing precision procedures, thus enabling radical resection and improved survival rates. However, detection depth limitation exists in optical molecular imaging methods and further breakthroughs from optical to multi-modality intraoperative imaging methods are needed to develop more extensive and comprehensive intraoperative applications. Here, we review the current intraoperative optical molecular imaging technologies, focusing on contrast agents and surgical navigation systems, and then discuss the future prospects of multi-modality imaging technology for intraoperative imaging-guided cancer surgery.
Topics: Biomedical Research; Diagnostic Imaging; Humans; Monitoring, Intraoperative; Multimodal Imaging; Neoplasms; Optical Imaging; Surgical Procedures, Operative
PubMed: 25250092
DOI: 10.7150/thno.9899 -
Neuropsychopharmacology : Official... Jan 2014Mass spectrometry imaging is a powerful tool for directly determining the distribution of proteins, peptides, lipids, neurotransmitters, metabolites and drugs in neural... (Review)
Review
Mass spectrometry imaging is a powerful tool for directly determining the distribution of proteins, peptides, lipids, neurotransmitters, metabolites and drugs in neural tissue sections in situ. Molecule-specific imaging can be achieved using various ionization techniques that are suited to different applications but which all yield data with high mass accuracies and spatial resolutions. The ability to simultaneously obtain images showing the distributions of chemical species ranging from metal ions to macromolecules makes it possible to explore the chemical organization of a sample and to correlate the results obtained with specific anatomical features. The imaging of biomolecules has provided new insights into multiple neurological diseases, including Parkinson's and Alzheimer's disease. Mass spectrometry imaging can also be used in conjunction with other imaging techniques in order to identify correlations between changes in the distribution of important chemical species and other changes in the properties of the tissue. Here we review the applications of mass spectrometry imaging in neuroscience research and discuss its potential. The results presented demonstrate that mass spectrometry imaging is a useful experimental method with diverse applications in neuroscience.
Topics: Functional Neuroimaging; Humans; Mass Spectrometry; Molecular Imaging; Multimodal Imaging; Neuropharmacology; Psychopharmacology
PubMed: 23966069
DOI: 10.1038/npp.2013.215 -
Optics Express Jan 2021Image-guided and robotic surgery based on endoscopic imaging technologies can enhance cancer treatment by ideally removing all cancerous tissue and avoiding iatrogenic...
Image-guided and robotic surgery based on endoscopic imaging technologies can enhance cancer treatment by ideally removing all cancerous tissue and avoiding iatrogenic damage to healthy tissue. Surgeons evaluate the tumor margins at the cost of impeding surgical workflow or working with dimmed surgical illumination, since current endoscopic imaging systems cannot simultaneous and real-time color and near-infrared (NIR) fluorescence imaging under normal surgical illumination. To overcome this problem, a bio-inspired multimodal 3D endoscope combining the excellent characteristics of human eyes and compound eyes of mantis shrimp is proposed. This 3D endoscope, which achieves simultaneous and real-time imaging of three-dimensional stereoscopic, color, and NIR fluorescence, consists of three parts: a broad-band binocular optical system like as human eye, an optical relay system, and a multiband sensor inspired by the mantis shrimp's compound eye. By introducing an optical relay system, the two sub-images after the broad-band binocular optical system can be projected onto one and the same multiband sensor. A series of experiments demonstrate that this bio-inspired multimodal 3D endoscope not only provides surgeons with real-time feedback on the location of tumor tissue and lymph nodes but also creates an immersive experience for surgeons without impeding surgical workflow. Its excellent characteristics and good scalability can promote the further development and application of image-guided and robotic surgery.
Topics: Endoscopes; Equipment Design; Imaging, Three-Dimensional; Light; Multimodal Imaging; Robotic Surgical Procedures; Spectroscopy, Near-Infrared; Surgery, Computer-Assisted
PubMed: 33362105
DOI: 10.1364/OE.410424 -
The British Journal of Radiology Aug 2020Rhabdomyosarcoma (RMS) represents more than 50% of paediatric soft tissue tumours. Conversely, it is extremely rare among adults, where it shows peculiar biological and... (Review)
Review
Rhabdomyosarcoma (RMS) represents more than 50% of paediatric soft tissue tumours. Conversely, it is extremely rare among adults, where it shows peculiar biological and clinical features that are still poorly investigated. RMS patients should be referred to a Sarcoma Centre, where the contribution of experienced radiologists plays a relevant role in the diagnostic assessment of the disease, including precise localisation, staging, image-guided biopsy, response evaluation after treatment and follow-up. Besides CT and MRI, hybrid imaging including positron emission tomography (PET)/CT and PET/MRI are giving an increasing contribution to provide functional insights about tumour biology and to improve the diagnostic accuracy of the imaging work-up. This review paper provides a revision of the pathology, clinical and radiological features of adult RMS, with a particular focus on the growing role of hybrid PET-based imaging.
Topics: Humans; Magnetic Resonance Imaging; Multimodal Imaging; Positron Emission Tomography Computed Tomography; Rhabdomyosarcoma; Soft Tissue Neoplasms; Tomography, X-Ray Computed
PubMed: 32559113
DOI: 10.1259/bjr.20200250 -
Journal of Biomedical Optics Sep 2019Minimally invasive robotic surgery using fluorescence-guided images with a video laparoscope has been widely used because of its advantages of small incision, fast...
Minimally invasive robotic surgery using fluorescence-guided images with a video laparoscope has been widely used because of its advantages of small incision, fast recovery time, and efficiency. However, the penetration depth limitation of fluorescence is a disadvantage caused by the absorption and scattering in tissues and blood cells. If this limitation can be overcome by additional imaging modalities, the surgical procedure can be quite efficient and precise. High-energy annihilation-gamma photons have a stronger penetration capability than visible and fluorescence photons. To characterize and validate a multimodal annihilation-gamma/near-infrared (NIR)/visible laparoscopic imaging system, an internal detector composed of an annihilation-gamma detector and an optical system was assembled inside a surgical stainless pipe with an outer diameter of 15.8 mm and an external detector with a dimension of 100 × 100 mm2 placed at the opposite side of the internal detector. Integrated images of 511-keV gamma rays, NIR fluorescence, and visible light were obtained simultaneously. The 511-keV gamma image could be clearly seen with the acquisition of 5 s, while NIR and visible images could be presented in real time. This multimodal system has the potential for improving the surgery time and the quality of patient care.
Topics: Equipment Design; Indocyanine Green; Laparoscopy; Multimodal Imaging; Phantoms, Imaging; Robotic Surgical Procedures; Signal Processing, Computer-Assisted; Spectroscopy, Near-Infrared
PubMed: 31564072
DOI: 10.1117/1.JBO.24.9.096008 -
Contrast Media & Molecular Imaging 2017Surgical resection remains the most promising treatment strategy for many types of cancer. Residual malignant tissue after surgery, a consequence in part due to positive...
Surgical resection remains the most promising treatment strategy for many types of cancer. Residual malignant tissue after surgery, a consequence in part due to positive margins, contributes to high mortality and disease recurrence. In this study, multimodal contrast agents for integrated preoperative magnetic resonance imaging (MRI) and intraoperative fluorescence image-guided surgery (FIGS) are developed. Self-assembled multimodal imaging nanoparticles (SAMINs) were developed as a mixed micelle formulation using amphiphilic HA polymers functionalized with either GdDTPA for contrast-enhanced MRI or Cy7.5, a near infrared fluorophore. To evaluate the relationship between MR and fluorescence signal from SAMINs, we employed simulated surgical phantoms that are routinely used to evaluate the depth at which near infrared (NIR) imaging agents can be detected by FIGS. Finally, imaging agent efficacy was evaluated in a human breast tumor xenograft model in nude mice, which demonstrated contrast in both fluorescence and magnetic resonance imaging.
Topics: Animals; Breast Neoplasms; Female; Heterografts; Humans; Hyaluronic Acid; Intraoperative Period; Magnetic Resonance Imaging; Mice; Multimodal Imaging; Nanoparticles; Optical Imaging; Phantoms, Imaging; Preoperative Period; Surgery, Computer-Assisted
PubMed: 29097944
DOI: 10.1155/2017/9616791 -
Cancer Imaging : the Official... Sep 2012The standardized uptake value (SUV) and other measurements of tumour uptake of fluorodeoxyglucose (FDG) on positron emission tomography (PET) can potentially be... (Review)
Review
The standardized uptake value (SUV) and other measurements of tumour uptake of fluorodeoxyglucose (FDG) on positron emission tomography (PET) can potentially be supplemented by additional imaging parameters derived either from the PET images or from the computed tomography (CT) component of integrated PET/CT examinations including tumour size, CT attenuation, texture (reflecting tumour heterogeneity) and blood flow. This article illustrates the emerging benefits of such a multiparametric approach. Example benefits include greater diagnostic accuracy in characterization of adrenal masses achieved by using both the SUV and measured CT attenuation. Tumour size combined with the SUV can potentially improve the prognostic information available from PET/CT in oesophageal and lung cancer. However, greater improvements may be realized through using CT measurements of texture instead of size. Studies in breast and lung cancer suggest that combined PET/CT measurements of glucose metabolism and blood flow provide correlates for tumour proliferation and angiogenesis, respectively. These combined measurements can be utilized to determine vascular-metabolic phenotypes, which vary with tumour type. Uncoupling of blood flow and metabolism suggests a poor prognosis for larger more advanced tumours, high-grade lesions and tumours responding poorly to treatment. Vascular-metabolic imaging also has the potential to subclassify tumour response to treatment. The additional biomarkers described can be readily incorporated in existing FDG-PET examinations thereby improving the ability of PET/CT to depict tumour biology, characterize potentially malignant lesions, and assess prognosis and therapeutic response.
Topics: Fluorodeoxyglucose F18; Humans; Multimodal Imaging; Neoplasms; Positron-Emission Tomography; Prognosis; Tomography, X-Ray Computed
PubMed: 23023069
DOI: 10.1102/1470-7330.2012.9007 -
Journal of Biomedical Optics Jan 2015Quantitative assessment of wound tissue ischemia, perfusion, and inflammation provides critical information for appropriate detection, staging, and treatment of chronic...
Quantitative assessment of wound tissue ischemia, perfusion, and inflammation provides critical information for appropriate detection, staging, and treatment of chronic wounds. However, few methods are available for simultaneous assessment of these tissue parameters in a noninvasive and quantitative fashion. We integrated hyperspectral, laser speckle, and thermographic imaging modalities in a single-experimental setup for multimodal assessment of tissue oxygenation, perfusion, and inflammation characteristics. Algorithms were developed for appropriate coregistration between wound images acquired by different imaging modalities at different times. The multimodal wound imaging system was validated in an occlusion experiment, where oxygenation and perfusion maps of a healthy subject's upper extremity were continuously monitored during a postocclusive reactive hyperemia procedure and compared with standard measurements. The system was also tested in a clinical trial where a wound of three millimeters in diameter was introduced on a healthy subject's lower extremity and the healing process was continuously monitored. Our in vivo experiments demonstrated the clinical feasibility of multimodal cutaneous wound imaging.
Topics: Algorithms; Equipment Design; Humans; Multimodal Imaging; Oxygen; Perfusion Imaging; Skin; Thermography; Wound Healing
PubMed: 25604545
DOI: 10.1117/1.JBO.20.1.016016 -
Computational and Mathematical Methods... 2020The medical image fusion is the process of coalescing multiple images from multiple imaging modalities to obtain a fused image with a large amount of information for... (Review)
Review
The medical image fusion is the process of coalescing multiple images from multiple imaging modalities to obtain a fused image with a large amount of information for increasing the clinical applicability of medical images. In this paper, we attempt to give an overview of multimodal medical image fusion methods, putting emphasis on the most recent advances in the domain based on (1) the current fusion methods, including based on deep learning, (2) imaging modalities of medical image fusion, and (3) performance analysis of medical image fusion on mainly data set. Finally, the conclusion of this paper is that the current multimodal medical image fusion research results are more significant and the development trend is on the rise but with many challenges in the research field.
Topics: Algorithms; Computational Biology; Databases, Factual; Deep Learning; Humans; Image Interpretation, Computer-Assisted; Magnetic Resonance Imaging; Multimodal Imaging; Neural Networks, Computer; Positron-Emission Tomography; Tomography, Emission-Computed, Single-Photon; Tomography, X-Ray Computed
PubMed: 32377226
DOI: 10.1155/2020/8279342