Cardiothoracic Imaging: Recent Techniques and Applications in Diagnostics, Second Edition

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 31 October 2024 | Viewed by 6858

Special Issue Editor


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Guest Editor
Department of Radiology, Monaldi Hospital, Azienda Ospedaliera dei Colli, 80131 Naples, Italy
Interests: thoracic imaging; cardiac imaging; interstitial lung disease; vascular imaging
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Cardiothoracic imaging has always attracted enormous interest not only among radiologists but also among clinicians, due to the technological innovations applied to cardiothoracic imaging. In fact, recent technological progress has allowed a significant increase in the diagnostic accuracy of cardiothoracic imaging methods, unthinkable until a few years ago. New CT and MR scanners have reached such high levels of technology and performance as to revolutionize diagnostic imaging of the heart, lungs, and large and small vessels in elective and emergency setting. New CT scanners with clear dose savings and time-saving technology are becoming safer and allow more accurate diagnosis in emergencies by directing clinicians towards the most appropriate therapeutic management, while the latest generation of MR scanners and new postprocessing software make cardiac MRI an increasingly one-stop-shop method in many heart diseases.

Finally, it is necessary to mention how artificial intelligence, radiomics, and deep learning have also become a hot topic in chest imaging, e.g., in lung cancer, pneumonia, or diffuse pulmonary disease.

Therefore, the aim of this Special Issue is to show how new technology applied to radiology can improve imaging diagnostic accuracy in more frequent, often life-threatening, but also less common cardiothoracic diseases.

Dr. Giacomo Sica
Guest Editor

Manuscript Submission Information

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Keywords

  • emergency
  • cardiac imaging
  • thoracic imaging
  • aorta
  • MRI
  • CT
  • radiomics
  • artificial intelligence
  • ILD

Published Papers (5 papers)

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Research

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13 pages, 2831 KiB  
Article
Optimizing Precision: A Trajectory Tract Reference Approach to Minimize Complications in CT-Guided Transthoracic Core Biopsy
by Stella Chin-Shaw Tsai, Tzu-Chin Wu and Frank Cheau-Feng Lin
Diagnostics 2024, 14(8), 796; https://doi.org/10.3390/diagnostics14080796 - 10 Apr 2024
Viewed by 403
Abstract
The advent of computed tomography (CT)-guided transthoracic needle biopsy has significantly advanced the diagnosis of lung lesions, offering a minimally invasive approach to obtaining tissue samples. However, the technique is not without risks, including pneumothorax and hemorrhage, and it demands high precision to [...] Read more.
The advent of computed tomography (CT)-guided transthoracic needle biopsy has significantly advanced the diagnosis of lung lesions, offering a minimally invasive approach to obtaining tissue samples. However, the technique is not without risks, including pneumothorax and hemorrhage, and it demands high precision to ensure diagnostic accuracy while minimizing complications. This study introduces the Laser Angle Guide Assembly (LAGA), a novel device designed to enhance the accuracy and safety of CT-guided lung biopsies. We retrospectively analyzed 322 CT-guided lung biopsy cases performed with LAGA at a single center over seven years, aiming to evaluate its effectiveness in improving diagnostic yield and reducing procedural risks. The study achieved a diagnostic success rate of 94.3%, with a significant reduction in the need for multiple needle passes, demonstrating a majority of biopsies successfully completed with a single pass. The incidence of pneumothorax stood at 11.1%, which is markedly lower than the reported averages, and only 0.3% of cases necessitated chest tube placement, underscoring the safety benefits of the LAGA system. These findings underscore the potential of LAGA to revolutionize CT-guided lung biopsies by enhancing procedural precision and safety, making it a valuable addition to the diagnostic arsenal against pulmonary lesions. Full article
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15 pages, 3732 KiB  
Article
Mesenchymal Stem Cell Transplantation Has a Regenerative Effect in Ischemic Myocardium: An Experimental Rat Model Evaluated by SPECT-CT Assessment
by Antonella Koutela, George Loudos, Maritina Rouchota, Dimitrios Kletsas, Andreas Karameris, George Vilaras, George C. Zografos, Despoina Myoteri, Dimitrios Dougenis and Apostolos E. Papalois
Diagnostics 2024, 14(4), 401; https://doi.org/10.3390/diagnostics14040401 - 12 Feb 2024
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Abstract
Translational perspective: Ischemic heart disease remains a major medical problem with high mortality rates. Beside the great efforts devoted to research worldwide and the use of numerous experimental models, an absolute understanding of myocardial infarction and tissue loss has not yet been achieved. [...] Read more.
Translational perspective: Ischemic heart disease remains a major medical problem with high mortality rates. Beside the great efforts devoted to research worldwide and the use of numerous experimental models, an absolute understanding of myocardial infarction and tissue loss has not yet been achieved. Furthermore, the regeneration of myocardial tissue and the improvement of myocardial activity after ischemia is one of the major areas of interest in the medical (and especially cardiovascular) community. In a novel experimental rat model, the beneficial effect of mesenchymal stem cell transplantation (MSCT) in a surgically induced ischemic myocardium was documented. From a clinical perspective, this work supports the surgical administration of MSCT in the infarcted area during coronary artery bypass surgery. Aims: The regeneration of myocardial tissue and the improvement of myocardial activity after ischemia is one of the major areas of interest in cardiovascular research. We developed a novel experimental rat model and used it to examine the effect of mesenchymal stem cell transplantation (MSCT) on myocardial ischemia evaluated by SPECT-CT and immunohistochemistry. Methods and results: An open thoracotomy took place for forty adult female Wistar rats with (n = 30) or without (n = 10) surgical ligation of the left anterior descending coronary artery (LAD) in order to cause myocardial ischemia. Myocardial viability was evaluated via SPECT/CT 7 days before surgery, as well as at 7 and 14 days post-surgery. At day 0, 15 animals received homologous stem cells injected at the ischemic myocardium area. A SPECT/CT evaluation showed decreased activity of the myocardial cells in the left ventricle one week post-infarction. Regeneration of the ischemic myocardium fifteen days post-infarction was recorded only in animals subjected to stem cell transplantation. These findings were also confirmed by histology and immunohistochemical analysis, with the significantly higher expression of GATA4 and Nkx2.5. Conclusions: The positive effect of mesenchymal stem cell transplantation in the ischemic myocardium was recorded. The application of SPECT-CT allowed a clear evaluation of both the quality and quantity of the living myocardium post-infarction, leading to a new approach in the research of cardiovascular diseases. From a clinical perspective, MSCT may be beneficial when accompanied by myocardial revascularization procedures. Full article
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Review

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19 pages, 1162 KiB  
Review
Artificial Intelligence in the Differential Diagnosis of Cardiomyopathy Phenotypes
by Riccardo Cau, Francesco Pisu, Jasjit S. Suri, Roberta Montisci, Marco Gatti, Lorenzo Mannelli, Xiangyang Gong and Luca Saba
Diagnostics 2024, 14(2), 156; https://doi.org/10.3390/diagnostics14020156 - 10 Jan 2024
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Abstract
Artificial intelligence (AI) is rapidly being applied to the medical field, especially in the cardiovascular domain. AI approaches have demonstrated their applicability in the detection, diagnosis, and management of several cardiovascular diseases, enhancing disease stratification and typing. Cardiomyopathies are a leading cause of [...] Read more.
Artificial intelligence (AI) is rapidly being applied to the medical field, especially in the cardiovascular domain. AI approaches have demonstrated their applicability in the detection, diagnosis, and management of several cardiovascular diseases, enhancing disease stratification and typing. Cardiomyopathies are a leading cause of heart failure and life-threatening ventricular arrhythmias. Identifying the etiologies is fundamental for the management and diagnostic pathway of these heart muscle diseases, requiring the integration of various data, including personal and family history, clinical examination, electrocardiography, and laboratory investigations, as well as multimodality imaging, making the clinical diagnosis challenging. In this scenario, AI has demonstrated its capability to capture subtle connections from a multitude of multiparametric datasets, enabling the discovery of hidden relationships in data and handling more complex tasks than traditional methods. This review aims to present a comprehensive overview of the main concepts related to AI and its subset. Additionally, we review the existing literature on AI-based models in the differential diagnosis of cardiomyopathy phenotypes, and we finally examine the advantages and limitations of these AI approaches. Full article
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25 pages, 1234 KiB  
Review
Non-Contrast and Contrast-Enhanced Cardiac Computed Tomography Imaging in the Diagnostic and Prognostic Evaluation of Coronary Artery Disease
by Luca Pugliese, Francesca Ricci, Giacomo Sica, Mariano Scaglione and Salvatore Masala
Diagnostics 2023, 13(12), 2074; https://doi.org/10.3390/diagnostics13122074 - 15 Jun 2023
Cited by 3 | Viewed by 3452
Abstract
In recent decades, cardiac computed tomography (CT) has emerged as a powerful non-invasive tool for risk stratification, as well as the detection and characterization of coronary artery disease (CAD), which remains the main cause of morbidity and mortality in the world. Advances in [...] Read more.
In recent decades, cardiac computed tomography (CT) has emerged as a powerful non-invasive tool for risk stratification, as well as the detection and characterization of coronary artery disease (CAD), which remains the main cause of morbidity and mortality in the world. Advances in technology have favored the increasing use of cardiac CT by allowing better performance with lower radiation doses. Coronary artery calcium, as assessed by non-contrast CT, is considered to be the best marker of subclinical atherosclerosis, and its use is recommended for the refinement of risk assessment in low-to-intermediate risk individuals. In addition, coronary CT angiography (CCTA) has become a gate-keeper to invasive coronary angiography (ICA) and revascularization in patients with acute chest pain by allowing the assessment not only of the extent of lumen stenosis, but also of its hemodynamic significance if combined with the measurement of fractional flow reserve or perfusion imaging. Moreover, CCTA provides a unique incremental value over functional testing and ICA by imaging the vessel wall, thus allowing the assessment of plaque burden, composition, and instability features, in addition to perivascular adipose tissue attenuation, which is a marker of vascular inflammation. There exists the potential to identify the non-obstructive lesions at high risk of progression to plaque rupture by combining all of these measures. Full article
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Other

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14 pages, 6676 KiB  
Interesting Images
Pulmonary Adverse Events in Cancer Immunotherapy: Case Studies of CT Patterns
by Giorgio Bocchini, Maria Chiara Imperato, Tullio Valente, Salvatore Guarino, Roberta Lieto, Candida Massimo, Emanuele Muto, Federica Romano, Mariano Scaglione, Giacomo Sica, Davide Vitagliano Torre, Salvatore Masala, Marialuisa Bocchino and Gaetano Rea
Diagnostics 2024, 14(6), 613; https://doi.org/10.3390/diagnostics14060613 - 14 Mar 2024
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Abstract
Immune-checkpoint inhibitors have profoundly changed cancer treatment, improving the prognosis of many oncologic patients. However, despite the good efficacy of these drugs, their mechanism of action, which involves the activation of the immune system, can lead to immune-related adverse events, which may affect [...] Read more.
Immune-checkpoint inhibitors have profoundly changed cancer treatment, improving the prognosis of many oncologic patients. However, despite the good efficacy of these drugs, their mechanism of action, which involves the activation of the immune system, can lead to immune-related adverse events, which may affect almost all organs. Pulmonary adverse events are relatively common, and potentially life-threatening complications may occur. The diagnosis is challenging due to the wide and non-specific spectrum of clinical and radiological manifestations. The role of the radiologist is to recognize and diagnose pulmonary immune-related adverse events, possibly even in the early stages, to estimate their extent and guide patients’ management. Full article
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