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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 -
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 -
Seminars in Ultrasound, CT, and MR Aug 2020Various surgical techniques exist for urinary diversion post cystectomy and each have different imaging features. This diverse range of surgical procedures can make... (Review)
Review
Various surgical techniques exist for urinary diversion post cystectomy and each have different imaging features. This diverse range of surgical procedures can make imaging interpretation difficult and so familiarity with the postoperative anatomy is essential. Multiple imaging modalities and techniques are available for the radiologist's assessment including fluoroscopic studies, computed tomography, magnetic resonance, and radionuclide imaging. Knowledge of when each of these modalities is indicated and the typical imaging appearances is essential for early identification of postoperative complications and detection of tumor recurrence. This information enables the radiologist to make an accurate and early diagnosis and subsequently guide the management pathway for these patients.
Topics: Cystectomy; Humans; Multimodal Imaging; Postoperative Complications; Urinary Bladder; Urinary Diversion
PubMed: 32620229
DOI: 10.1053/j.sult.2020.04.008 -
AJR. American Journal of Roentgenology Jul 2021The purpose of this article is to review the clinical manifestations, endocrine tumors types, and multimodality diagnostic tools available to physicians involved in the... (Review)
Review
The purpose of this article is to review the clinical manifestations, endocrine tumors types, and multimodality diagnostic tools available to physicians involved in the management of patients with multiple endocrine neoplasia (MEN) syndrome, in addition to discussing relevant imaging findings and appropriate imaging follow-up. Thorough knowledge of the spectrum of tumors associated with gene mutations aids in the screening, diagnostic workup, and posttreatment monitoring of patients with MEN-related gene mutations.
Topics: Endocrine Glands; Humans; Multimodal Imaging; Multiple Endocrine Neoplasia; Tomography Scanners, X-Ray Computed; Tomography, Emission-Computed, Single-Photon; Ultrasonography
PubMed: 33909463
DOI: 10.2214/AJR.20.22933 -
Advanced Healthcare Materials Mar 2021Advances in technology and nanomedicine have led to the development of nanoparticles that can be activated for multimodal imaging of cancer, where a stimulus induces a... (Review)
Review
Advances in technology and nanomedicine have led to the development of nanoparticles that can be activated for multimodal imaging of cancer, where a stimulus induces a material modification that enhances image contrast. Multimodal imaging using nanomaterials with this capability can combine the advantages and overcome the limitations of any single imaging modality. When designed with stimuli-responsive abilities, the target-to-background ratio of multimodal imaging nanoprobes increases because specific stimuli in the tumor enhance the signal. Several aspects of the tumor microenvironment can be exploited as an internal stimulus response for multimodal imaging applications, such as the pH gradient, redox processes, overproduction of various enzymes, or combinations of these. In this review, design strategies are discussed and an overview of the recent developments of internally responsive multimodal nanomaterials is provided. Properly implementing this approach improves noninvasive cancer diagnosis and staging as well as provides a method to monitor drug delivery and treatment response.
Topics: Drug Delivery Systems; Humans; Multimodal Imaging; Nanomedicine; Nanoparticles; Nanostructures; Neoplasms; Tumor Microenvironment
PubMed: 32691969
DOI: 10.1002/adhm.202000690 -
Frontiers in Immunology 2021Gout is a common form of inflammatory arthritis where urate crystals deposit in joints and surrounding tissues. With the high prevalence of gout, the standardized and... (Review)
Review
Gout is a common form of inflammatory arthritis where urate crystals deposit in joints and surrounding tissues. With the high prevalence of gout, the standardized and effective treatment of gout is very important, but the long-term treatment effect of gout is not satisfied because of the poor adherence in patients to the medicines. Recently, advanced imaging modalities, including ultrasonography (US), dual-energy computed tomography (DECT), and magnetic resonance imaging (MRI), attracted more and more attention for their role on gout as intuitive and non-invasive tools for early gout diagnosis and evaluation of therapeutic effect. This review summarized the role of US, DECT, and MRI in the management of gout from four perspectives: hyperuricemia, gout attacks, chronic gout, and gout complications described the scoring systems currently used to quantify disease severity and discussed the challenges and limitations of using these imaging tools to assess response to the gout treatment.
Topics: Biomarkers; Diagnostic Imaging; Disease Management; Disease Susceptibility; Gout; Humans; Hyperuricemia; Magnetic Resonance Imaging; Multimodal Imaging; Prognosis; Tomography, X-Ray Computed; Ultrasonography; Uric Acid
PubMed: 35095904
DOI: 10.3389/fimmu.2021.811323