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Seminars in Ultrasound, CT, and MR Aug 2020Renal cysts are a common imaging finding, often incidental. Ultrasound, CT and MRI are the main modalities responsible for renal cyst detection and characterization.... (Review)
Review
Renal cysts are a common imaging finding, often incidental. Ultrasound, CT and MRI are the main modalities responsible for renal cyst detection and characterization. These modalities often play a complementary role in modern radiological practice, each of them with strengths and limitations. In view of a recently proposed 'multimodality' update to the historical Bosniak classification, this article provides a general overview of the current imaging approach to renal cysts, and outlines some of the diverse pathologic entities responsible for renal cyst formation.
Topics: Diagnostic Imaging; Humans; Kidney; Kidney Diseases, Cystic; Magnetic Resonance Imaging; Multimodal Imaging; Tomography, X-Ray Computed; Ultrasonography
PubMed: 32620223
DOI: 10.1053/j.sult.2020.05.001 -
JACC. Cardiovascular Imaging May 2022
Topics: Coronary Artery Bypass; Coronary Artery Disease; Fluorine Radioisotopes; Humans; Multimodal Imaging; Positron Emission Tomography Computed Tomography; Positron-Emission Tomography; Predictive Value of Tests; Radiopharmaceuticals
PubMed: 35512959
DOI: 10.1016/j.jcmg.2022.01.018 -
Survey of Ophthalmology 2022Imaging is an integral part of the evaluation and management of retinal disorders. Each imaging modality has its own unique capabilities and can show a different aspect... (Review)
Review
Imaging is an integral part of the evaluation and management of retinal disorders. Each imaging modality has its own unique capabilities and can show a different aspect or perspective of disease. Multimodal retinal imaging provides a wealth of substantive and insightful information; however, the integration of all this complex data can be overwhelming. We discuss the applications and the strengths and limitations of the many different retinal imaging tools that are approved for clinical use. These modalities include color fundus photography, widefield imaging, fundus autofluorescence, near infrared reflectance, optical coherence tomography angiography, and en face optical coherence tomography. We also cover the advantages and disadvantages of a multimodal approach.
Topics: Consensus; Fluorescein Angiography; Humans; Multimodal Imaging; Retrospective Studies; Tomography, Optical Coherence
PubMed: 35183611
DOI: 10.1016/j.survophthal.2022.02.004 -
Journal of Clinical Ultrasound : JCU Oct 2022Amyloidosis is a systemic disease, characterized by deposition of amyloid fibrils in various organs, including the heart. For the diagnosis of cardiac amyloidosis (CA)... (Review)
Review
Amyloidosis is a systemic disease, characterized by deposition of amyloid fibrils in various organs, including the heart. For the diagnosis of cardiac amyloidosis (CA) it is required a high level of clinical suspicion and in the presence of clinical, laboratorial, and electrocardiographic red flags, a comprehensive multimodality imaging evaluation is warranted, including echocardiography, magnetic resonance, scintigraphy, and computed tomography, that will confirm diagnosis and define the CA subtype, which is of the utmost importance to plan a treatment strategy. We will review the use of multimodality imaging in the evaluation of CA, including the latest applications, and a practical flow-chart will sum-up this evidence.
Topics: Amyloid; Amyloidosis; Echocardiography; Humans; Multimodal Imaging; Radionuclide Imaging
PubMed: 36218201
DOI: 10.1002/jcu.23271 -
PET Clinics Oct 2023New challenges are currently faced by clinical and surgical oncologists in the management of patients with breast cancer, mainly related to the need for molecular and... (Review)
Review
New challenges are currently faced by clinical and surgical oncologists in the management of patients with breast cancer, mainly related to the need for molecular and prognostic data. Recent technological advances in diagnostic imaging and informatics have led to the introduction of functional imaging modalities, such as hybrid PET/MR imaging, and artificial intelligence (AI) software, aimed at the extraction of quantitative radiomics data, which may reflect tumor biology and behavior. In this article, the most recent applications of radiomics and AI to PET/MR imaging are described to address the new needs of clinical and surgical oncology.
Topics: Humans; Female; Breast Neoplasms; Artificial Intelligence; Magnetic Resonance Imaging; Multimodal Imaging; Positron-Emission Tomography
PubMed: 37336693
DOI: 10.1016/j.cpet.2023.05.002 -
Journal of the American Society For... Dec 2020Imaging mass spectrometry has become a mature molecular mapping technology that is used for molecular discovery in many medical and biological systems. While powerful by... (Review)
Review
Imaging mass spectrometry has become a mature molecular mapping technology that is used for molecular discovery in many medical and biological systems. While powerful by itself, imaging mass spectrometry can be complemented by the addition of other orthogonal, chemically informative imaging technologies to maximize the information gained from a single experiment and enable deeper understanding of biological processes. Within this review, we describe MALDI, SIMS, and DESI imaging mass spectrometric technologies and how these have been integrated with other analytical modalities such as microscopy, transcriptomics, spectroscopy, and electrochemistry in a field termed multimodal imaging. We explore the future of this field and discuss forthcoming developments that will bring new insights to help unravel the molecular complexities of biological systems, from single cells to functional tissue structures and organs.
Topics: Animals; Electrochemical Techniques; Gene Expression Profiling; Humans; Mass Spectrometry; Microscopy; Multimodal Imaging; Spectrophotometry, Infrared; Spectrum Analysis, Raman; Transcriptome
PubMed: 32886506
DOI: 10.1021/jasms.0c00232 -
Methods (San Diego, Calif.) Apr 2021State-of-the-art patient management frequently mandates the investigation of both anatomy and physiology of the patients. Hybrid imaging modalities such as the PET/MRI,... (Review)
Review
State-of-the-art patient management frequently mandates the investigation of both anatomy and physiology of the patients. Hybrid imaging modalities such as the PET/MRI, PET/CT and SPECT/CT have the ability to provide both structural and functional information of the investigated tissues in a single examination. With the introduction of such advanced hardware fusion, new problems arise such as the exceedingly large amount of multi-modality data that requires novel approaches of how to extract a maximum of clinical information from large sets of multi-dimensional imaging data. Artificial intelligence (AI) has emerged as one of the leading technologies that has shown promise in facilitating highly integrative analysis of multi-parametric data. Specifically, the usefulness of AI algorithms in the medical imaging field has been heavily investigated in the realms of (1) image acquisition and reconstruction, (2) post-processing and (3) data mining and modelling. Here, we aim to provide an overview of the challenges encountered in hybrid imaging and discuss how AI algorithms can facilitate potential solutions. In addition, we highlight the pitfalls and challenges in using advanced AI algorithms in the context of hybrid imaging and provide suggestions for building robust AI solutions that enable reproducible and transparent research.
Topics: Artificial Intelligence; Data Mining; Datasets as Topic; Humans; Image Processing, Computer-Assisted; Multimodal Imaging
PubMed: 33068741
DOI: 10.1016/j.ymeth.2020.10.004 -
Medicina (Kaunas, Lithuania) Jun 2023COVID-19 infection often produces cardiovascular complications, which can range from mild to severe and influence the overall prognosis. Imaging is the cornerstone for... (Review)
Review
COVID-19 infection often produces cardiovascular complications, which can range from mild to severe and influence the overall prognosis. Imaging is the cornerstone for diagnosing initial COVID-19 cardiovascular involvement as well as treatment guidance. In this review, we present the current state of the literature on this subject while also emphasizing possible algorithms for indicating and executing these investigations.
Topics: Humans; COVID-19; Heart; Heart Diseases; Multimodal Imaging; Lung; Magnetic Resonance Imaging
PubMed: 37512035
DOI: 10.3390/medicina59071223 -
ACS Sensors Oct 2023The ability to monitor intracellular calcium concentrations using fluorescent probes has led to important insights into biological signaling processes at the cellular...
The ability to monitor intracellular calcium concentrations using fluorescent probes has led to important insights into biological signaling processes at the cellular level. An important challenge is to relate such measurements to broader patterns of signaling across fields of view that are inaccessible to optical techniques. To meet this need, we synthesized molecular probes that couple calcium-binding moieties to lanthanide texaphyrins, resulting in complexes endowed with a diverse complement of magnetic and photophysical properties. We show that the probes permit intracellular calcium levels to be assessed by fluorescence, photoacoustic, and magnetic resonance imaging modalities and that they are detectable by multimodal imaging in brain tissue. This work thus establishes a route for monitoring signaling processes over a range of spatial and temporal scales.
Topics: Calcium; Porphyrins; Magnetic Resonance Imaging; Multimodal Imaging
PubMed: 37812688
DOI: 10.1021/acssensors.3c01387 -
Current Cardiology Reports Oct 2022The unique pathophysiological changes of constrictive pericarditis (CP) can now be identified with better imaging modalities, thereby helping in its early diagnosis.... (Review)
Review
PURPOSE OF REVIEW
The unique pathophysiological changes of constrictive pericarditis (CP) can now be identified with better imaging modalities, thereby helping in its early diagnosis. Through this review, we outline the pathophysiology of CP and its translation into symptomology and various imaging findings which then are used for both diagnosis and guiding treatment options for CP.
RECENT FINDINGS
Multimodality imaging has provided us with the capability to recognize early stages of the disease and identify patients with a potential for reversibility and can be treated with medical management. Additionally, peri-procedural planning and prediction of post-operative complications has been made possible with the use of advanced imaging techniques. Advanced imaging has the potential to play a greater role in identification of patients with reversible disease process and provide peri-procedural risk stratification, thereby improving outcomes for patients with CP.
Topics: Humans; Multimodal Imaging; Pericarditis, Constrictive
PubMed: 35917048
DOI: 10.1007/s11886-022-01758-6