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Boninsegna E, Piovan E, Sozzi C, Simonini E, Aringhieri G, Cioni D, Neri E. Advancing precision in CT-guided bone biopsies: exploring the potential of dual-energy CT imaging. LA RADIOLOGIA MEDICA 2025; 130:143-149. [PMID: 39572472 DOI: 10.1007/s11547-024-01935-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 11/12/2024] [Indexed: 03/01/2025]
Abstract
OBJECTIVE This study aimed to investigate the integration of dual-energy CT (DECT) into CT-guided bone biopsy procedures, comparing it with conventional CT techniques. The focus was on technical aspects, accuracy and radiation dose exposure. MATERIALS AND METHODS A total of 51 bone biopsies were conducted, with 36 using conventional CT and 15 utilizing DECT. Patient data, lesion characteristics and biopsy techniques were analyzed. Statistical analyses, including Fisher's exact test and independent samples t-test, were performed to compare accuracy and radiation doses between the two methods. RESULTS DECT-guided biopsies demonstrated a significantly higher accuracy (93.33%) compared to conventional CT biopsies (86.11%). The radiation dose exposure for DECT was comparable to conventional CT. DECT's ability to differentiate tissues, especially in bone marrow edema detection, led to higher precision. CONCLUSION Integrating DECT into CT-guided bone biopsies enhances tissue differentiation and accuracy without significantly increasing radiation exposure. This advancement holds promise for improving musculoskeletal interventional radiology, leading to more precise diagnoses, informed treatment decisions and improved patient outcomes.
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Affiliation(s)
- Enrico Boninsegna
- Department of Radiology and Neuroradiology, ASST Mantova, Mantua, Italy.
| | - Enrico Piovan
- Department of Radiology and Neuroradiology, ASST Mantova, Mantua, Italy
| | - Carlo Sozzi
- Department of Radiology and Neuroradiology, ASST Mantova, Mantua, Italy
| | - Emilio Simonini
- Department of Radiology and Neuroradiology, ASST Mantova, Mantua, Italy
| | - Giacomo Aringhieri
- Academic Radiology, Department of Traslational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Dania Cioni
- Academic Radiology, Department of Traslational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Emanuele Neri
- Academic Radiology, Department of Traslational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
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García-Figueiras R, Baleato-González S. Quantitative multi-energy CT in oncology: State of the art and future directions. Eur J Radiol 2025; 182:111840. [PMID: 39581021 DOI: 10.1016/j.ejrad.2024.111840] [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: 09/14/2024] [Revised: 11/03/2024] [Accepted: 11/17/2024] [Indexed: 11/26/2024]
Abstract
Multi-energy computed tomography (CT) involves acquisition of two or more CT measurements with distinct energy spectra. Using the differential attenuation of tissues and materials at different X-ray energies, multi-energy CT allows distinction of tissues and materials. Multi-energy technology encompasses different types of CT systems, such as dual-energy CT and photon-counting CT, that can use information from the energy and type of material present in acquired images to create multiple datasets. These scanners have overcome many of the limitations of conventional CT, making it possible to improve the diagnostic performance of CT and expand its use to new applications through better tissue characterization and multiple quantitative parameters. Quantitative imaging biomarkers based on multi-energy CT have enormous potential in oncologic imaging, from the diagnosis and characterization of tumor phenotypes to the evaluation of the response to treatment. Nevertheless, implementing these techniques in clinical practice remains challenging. This article reviews the basic principles underlying multi-energy CT and the most recent technical developments in these systems together with their advantages and limitations to establish the value of quantitative imaging derived from multi-energy CT in the field of oncology.
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Affiliation(s)
- Roberto García-Figueiras
- Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain.
| | - Sandra Baleato-González
- Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain
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3
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Guerrini S, Zanoni M, Sica C, Bagnacci G, Mancianti N, Galzerano G, Garosi G, Cacioppa LM, Cellina M, Zamboni GA, Minetti G, Floridi C, Mazzei MA. Dual-Energy CT as a Well-Established CT Modality to Reduce Contrast Media Amount: A Systematic Review from the Computed Tomography Subspecialty Section of the Italian Society of Radiology. J Clin Med 2024; 13:6345. [PMID: 39518485 PMCID: PMC11546204 DOI: 10.3390/jcm13216345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2024] [Revised: 10/13/2024] [Accepted: 10/18/2024] [Indexed: 11/16/2024] Open
Abstract
Background: Our study aims to provide an overview of existing evidence regarding the image quality of dual-energy CT (DECT) employing reduced contrast media (CM) volumes, in comparison to single-energy CT (SECT) with standard CM loads. The advantages, indications, and possible applications of DECT were investigated from the perspective of providing better patient care, minimizing CM volume and managing CM shortage. Methods: In this systematic review (PRISMA methodology), PubMed and WOS were searched from January 2010 to January 2023 by two independent reviewers. The scan and CM characteristics, radiation dose, and results of quantitative (contrast to noise ratio, CNR, and signal to noise ratio, SNR) and qualitative assessment of image quality were collected. Sixty non-duplicated records eligible for full-text screening were examined. Results: Finally, 22 articles (1818 patients) were included. The average CM reduction with DECT ranged between 43.4 ± 11%. Despite the wide variability in CT scan protocols, no differences were found in radiation doses between DECT and SECT. Conclusions: DECT scanners allow the employment of lower CM volumes with equal or better image quality evaluated by quantitative and qualitative analyses and similar dose radiation compared to SECT. Using image reconstructions at low monochromatic energy levels, DECT increases iodine conspicuity and attenuation contributing to CM containment measures.
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Affiliation(s)
- Susanna Guerrini
- Unit of Diagnostic Imaging, Department of Medical Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy;
- Italian Society of Medical and Interventional Radiology (SIRM), Italian College of Computed Tomography, Italian Society of Medical and Interventional Radiology, 20122 Milano, Italy; (G.B.); (M.C.); (G.A.Z.); (G.M.); (C.F.); (M.A.M.)
| | - Matteo Zanoni
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy; (M.Z.); (C.S.)
| | - Cristian Sica
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy; (M.Z.); (C.S.)
| | - Giulio Bagnacci
- Italian Society of Medical and Interventional Radiology (SIRM), Italian College of Computed Tomography, Italian Society of Medical and Interventional Radiology, 20122 Milano, Italy; (G.B.); (M.C.); (G.A.Z.); (G.M.); (C.F.); (M.A.M.)
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy; (M.Z.); (C.S.)
| | - Nicoletta Mancianti
- Unit of Nephrology, Dialysis and Transplantation, Department of Emergency and Transplantation, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy; (N.M.); (G.G.)
| | - Giuseppe Galzerano
- Unit of Vascular Surgery, Department of Heart, Thorax and Vessels, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy;
| | - Guido Garosi
- Unit of Nephrology, Dialysis and Transplantation, Department of Emergency and Transplantation, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy; (N.M.); (G.G.)
| | - Laura Maria Cacioppa
- Italian Society of Medical and Interventional Radiology (SIRM), Italian College of Computed Tomography, Italian Society of Medical and Interventional Radiology, 20122 Milano, Italy; (G.B.); (M.C.); (G.A.Z.); (G.M.); (C.F.); (M.A.M.)
- Department of Clinical, Special and Dental Sciences, University Politecnica Delle Marche, 60126 Ancona, Italy
| | - Michaela Cellina
- Italian Society of Medical and Interventional Radiology (SIRM), Italian College of Computed Tomography, Italian Society of Medical and Interventional Radiology, 20122 Milano, Italy; (G.B.); (M.C.); (G.A.Z.); (G.M.); (C.F.); (M.A.M.)
- Radiology Department, Fatebenefratelli Hospital, ASST Fatebenefratelli Sacco, Principessa Clotilde 3, 20121 Milan, Italy
| | - Giulia A. Zamboni
- Italian Society of Medical and Interventional Radiology (SIRM), Italian College of Computed Tomography, Italian Society of Medical and Interventional Radiology, 20122 Milano, Italy; (G.B.); (M.C.); (G.A.Z.); (G.M.); (C.F.); (M.A.M.)
- Institute of Radiology, Department of Diagnostics and Public Health, Policlinico GB Rossi, University of Verona, 37134 Verona, Italy
| | - Giuseppe Minetti
- Italian Society of Medical and Interventional Radiology (SIRM), Italian College of Computed Tomography, Italian Society of Medical and Interventional Radiology, 20122 Milano, Italy; (G.B.); (M.C.); (G.A.Z.); (G.M.); (C.F.); (M.A.M.)
- Radiology Unit, Ospedale Santo Spirito, ASL AL Casale Monferrato, 15121 Alessandria, Italy
| | - Chiara Floridi
- Italian Society of Medical and Interventional Radiology (SIRM), Italian College of Computed Tomography, Italian Society of Medical and Interventional Radiology, 20122 Milano, Italy; (G.B.); (M.C.); (G.A.Z.); (G.M.); (C.F.); (M.A.M.)
- Department of Clinical, Special and Dental Sciences, University Politecnica Delle Marche, 60126 Ancona, Italy
| | - Maria Antonietta Mazzei
- Italian Society of Medical and Interventional Radiology (SIRM), Italian College of Computed Tomography, Italian Society of Medical and Interventional Radiology, 20122 Milano, Italy; (G.B.); (M.C.); (G.A.Z.); (G.M.); (C.F.); (M.A.M.)
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy; (M.Z.); (C.S.)
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Yel I, Booz C, D’Angelo T, Koch V, Gruenewald LD, Eichler K, Gökduman A, Giardino D, Gaeta M, Mazziotti S, Herrmann E, Vogl TJ, Mahmoudi S, Lanzafame LRM. Standardization of Dual-Energy CT Iodine Uptake of the Abdomen and Pelvis: Defining Reference Values in a Big Data Cohort. Diagnostics (Basel) 2024; 14:2051. [PMID: 39335730 PMCID: PMC11431114 DOI: 10.3390/diagnostics14182051] [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: 06/07/2024] [Revised: 09/05/2024] [Accepted: 09/13/2024] [Indexed: 09/30/2024] Open
Abstract
Background: To establish dual-energy-derived iodine density reference values in abdominopelvic organs in a large cohort of healthy subjects. Methods: 597 patients who underwent portal venous phase dual-energy CT scans of the abdomen were retrospectively enrolled. Iodine distribution maps were reconstructed, and regions of interest measurements were placed in abdominal and pelvic structures to obtain absolute iodine values. Subsequently, normalization of the abdominal aorta was conducted to obtain normalized iodine ratios. The values obtained were subsequently analyzed and differences were investigated in subgroups defined by sex, age and BMI. Results: Overall mean iodine uptake values and normalized iodine ratios ranged between 0.31 and 6.08 mg/mL and 0.06 and 1.20, respectively. Women exhibited higher absolute iodine concentration across all organs. With increasing age, normalized iodine ratios mostly tend to decrease, being most significant in the uterus, prostate, and kidneys (p < 0.015). BMI was the parameter less responsible for variations in iodine concentrations; normal weighted patients demonstrated higher values of both absolute and normalized iodine. Conclusions: Iodine concentration values and normalized iodine ratios of abdominal and pelvic organs reveal significant gender-, age-, and BMI-related differences, underscoring the necessity to integrate these variables into clinical practice.
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Affiliation(s)
- Ibrahim Yel
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt, Germany
| | - Christian Booz
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt, Germany
| | - Tommaso D’Angelo
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University of Messina, 98124 Messina, Italy
- Department of Radiology and Nuclear Medicine, Erasmus MC, 3015 CE Rotterdam, The Netherlands
| | - Vitali Koch
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt, Germany
| | - Leon D. Gruenewald
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt, Germany
| | - Katrin Eichler
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt, Germany
| | - Aynur Gökduman
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt, Germany
| | - Davide Giardino
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt, Germany
| | - Michele Gaeta
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University of Messina, 98124 Messina, Italy
| | - Silvio Mazziotti
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University of Messina, 98124 Messina, Italy
| | - Eva Herrmann
- Institute of Biostatistics and Mathematical Modelling, Goethe University Frankfurt, 60596 Frankfurt, Germany
| | - Thomas J. Vogl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt, Germany
| | - Scherwin Mahmoudi
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt, Germany
| | - Ludovica R. M. Lanzafame
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60596 Frankfurt, Germany
- Diagnostic and Interventional Radiology Unit, BIOMORF Department, University of Messina, 98124 Messina, Italy
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Mourad C, Gallego Manzano L, Viry A, Booij R, Oei EHG, Becce F, Omoumi P. Chances and challenges of photon-counting CT in musculoskeletal imaging. Skeletal Radiol 2024; 53:1889-1902. [PMID: 38441616 PMCID: PMC11303444 DOI: 10.1007/s00256-024-04622-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 02/12/2024] [Accepted: 02/12/2024] [Indexed: 08/09/2024]
Abstract
In musculoskeletal imaging, CT is used in a wide range of indications, either alone or in a synergistic approach with MRI. While MRI is the preferred modality for the assessment of soft tissues and bone marrow, CT excels in the imaging of high-contrast structures, such as mineralized tissue. Additionally, the introduction of dual-energy CT in clinical practice two decades ago opened the door for spectral imaging applications. Recently, the advent of photon-counting detectors (PCDs) has further advanced the potential of CT, at least in theory. Compared to conventional energy-integrating detectors (EIDs), PCDs provide superior spatial resolution, reduced noise, and intrinsic spectral imaging capabilities. This review briefly describes the technical advantages of PCDs. For each technical feature, the corresponding applications in musculoskeletal imaging will be discussed, including high-spatial resolution imaging for the assessment of bone and crystal deposits, low-dose applications such as whole-body CT, as well as spectral imaging applications including the characterization of crystal deposits and imaging of metal hardware. Finally, we will highlight the potential of PCD-CT in emerging applications, underscoring the need for further preclinical and clinical validation to unleash its full clinical potential.
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Affiliation(s)
- Charbel Mourad
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Department of Diagnostic Imaging and Interventional Therapeutics, Hôpital Libanais Geitaoui-CHU, Beyrouth, Lebanon
| | - Lucia Gallego Manzano
- Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Anaïs Viry
- Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Ronald Booij
- Department of Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Edwin H G Oei
- Department of Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Fabio Becce
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Patrick Omoumi
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
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6
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Fan N, Chen X, Li Y, Zhu Z, Chen X, Yang Z, Yang J. Dual-energy computed tomography with new virtual monoenergetic image reconstruction enhances prostate lesion image quality and improves the diagnostic efficacy for prostate cancer. BMC Med Imaging 2024; 24:212. [PMID: 39134937 PMCID: PMC11321013 DOI: 10.1186/s12880-024-01393-3] [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: 03/31/2024] [Accepted: 08/05/2024] [Indexed: 08/15/2024] Open
Abstract
BACKGROUND Prostate cancer is one of the most common malignant tumors in middle-aged and elderly men and carries significant prognostic implications, and recent studies suggest that dual-energy computed tomography (DECT) utilizing new virtual monoenergetic images can enhance cancer detection rates. This study aimed to assess the impact of virtual monoenergetic images reconstructed from DECT arterial phase scans on the image quality of prostate lesions and their diagnostic performance for prostate cancer. METHODS We conducted a retrospective analysis of 83 patients with prostate cancer or prostatic hyperplasia who underwent DECT scans at Meizhou People's Hospital between July 2019 and December 2023. The variables analyzed included age, tumor diameter and serum prostate-specific antigen (PSA) levels, among others. We also compared CT values, signal-to-noise ratio (SNR), subjective image quality ratings, and contrast-to-noise ratio (CNR) between virtual monoenergetic images (40-100 keV) and conventional linear blending images. Receiver operating characteristic (ROC) curve analyses were performed to evaluate the diagnostic efficacy of virtual monoenergetic images (40 keV and 50 keV) compared to conventional images. RESULTS Virtual monoenergetic images at 40 keV showed significantly higher CT values (168.19 ± 57.14) compared to conventional linear blending images (66.66 ± 15.5) for prostate cancer (P < 0.001). The 50 keV images also demonstrated elevated CT values (121.73 ± 39.21) compared to conventional images (P < 0.001). CNR values for the 40 keV (3.81 ± 2.13) and 50 keV (2.95 ± 1.50) groups were significantly higher than the conventional blending group (P < 0.001). Subjective evaluations indicated markedly better image quality scores for 40 keV (median score of 5) and 50 keV (median score of 5) images compared to conventional images (P < 0.05). ROC curve analysis revealed superior diagnostic accuracy for 40 keV (AUC: 0.910) and 50 keV (AUC: 0.910) images based on CT values compared to conventional images (AUC: 0.849). CONCLUSIONS Virtual monoenergetic images reconstructed at 40 keV and 50 keV from DECT arterial phase scans substantially enhance the image quality of prostate lesions and improve diagnostic efficacy for prostate cancer.
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Affiliation(s)
- Nina Fan
- Department of Radiology, Meizhou People's Hospital, Meizhou, 514000, Guangdong, China
| | - Xiaofeng Chen
- Department of Radiology, Meizhou People's Hospital, Meizhou, 514000, Guangdong, China
| | - Yulin Li
- Department of Radiology, Meizhou People's Hospital, Meizhou, 514000, Guangdong, China
| | - Zhiqiang Zhu
- Department of Radiology, Meizhou People's Hospital, Meizhou, 514000, Guangdong, China
| | - Xiangguang Chen
- Department of Radiology, Meizhou People's Hospital, Meizhou, 514000, Guangdong, China
| | - Zhiqi Yang
- Department of Radiology, Meizhou People's Hospital, Meizhou, 514000, Guangdong, China.
| | - Jiada Yang
- Department of Radiology, Meizhou People's Hospital, Meizhou, 514000, Guangdong, China.
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Foti G, Ascenti G, Agostini A, Longo C, Lombardo F, Inno A, Modena A, Gori S. Dual-Energy CT in Oncologic Imaging. Tomography 2024; 10:299-319. [PMID: 38535766 PMCID: PMC10975567 DOI: 10.3390/tomography10030024] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 02/13/2024] [Accepted: 02/22/2024] [Indexed: 08/25/2024] Open
Abstract
Dual-energy CT (DECT) is an innovative technology that is increasingly widespread in clinical practice. DECT allows for tissue characterization beyond that of conventional CT as imaging is performed using different energy spectra that can help differentiate tissues based on their specific attenuation properties at different X-ray energies. The most employed post-processing applications of DECT include virtual monoenergetic images (VMIs), iodine density maps, virtual non-contrast images (VNC), and virtual non-calcium (VNCa) for bone marrow edema (BME) detection. The diverse array of images obtained through DECT acquisitions offers numerous benefits, including enhanced lesion detection and characterization, precise determination of material composition, decreased iodine dose, and reduced artifacts. These versatile applications play an increasingly significant role in tumor assessment and oncologic imaging, encompassing the diagnosis of primary tumors, local and metastatic staging, post-therapy evaluation, and complication management. This article provides a comprehensive review of the principal applications and post-processing techniques of DECT, with a specific focus on its utility in managing oncologic patients.
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Affiliation(s)
- Giovanni Foti
- Department of Radiology, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A. Sempreboni 5, 37024 Negrar, Italy; (C.L.); (F.L.)
| | - Giorgio Ascenti
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, 98122 Messina, Italy;
| | - Andrea Agostini
- Department of Clinical Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy
| | - Chiara Longo
- Department of Radiology, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A. Sempreboni 5, 37024 Negrar, Italy; (C.L.); (F.L.)
| | - Fabio Lombardo
- Department of Radiology, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A. Sempreboni 5, 37024 Negrar, Italy; (C.L.); (F.L.)
| | - Alessandro Inno
- Department of Oncology, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A. Sempreboni 5, 37024 Negrar, Italy; (A.I.); (A.M.); (S.G.)
| | - Alessandra Modena
- Department of Oncology, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A. Sempreboni 5, 37024 Negrar, Italy; (A.I.); (A.M.); (S.G.)
| | - Stefania Gori
- Department of Oncology, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A. Sempreboni 5, 37024 Negrar, Italy; (A.I.); (A.M.); (S.G.)
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Perrella A, Bagnacci G, Di Meglio N, Di Martino V, Mazzei MA. Thoracic Diseases: Technique and Applications of Dual-Energy CT. Diagnostics (Basel) 2023; 13:2440. [PMID: 37510184 PMCID: PMC10378112 DOI: 10.3390/diagnostics13142440] [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: 05/31/2023] [Revised: 07/06/2023] [Accepted: 07/07/2023] [Indexed: 07/30/2023] Open
Abstract
Dual-energy computed tomography (DECT) is one of the most promising technological innovations made in the field of imaging in recent years. Thanks to its ability to provide quantitative and reproducible data, and to improve radiologists' confidence, especially in the less experienced, its applications are increasing in number and variety. In thoracic diseases, DECT is able to provide well-known benefits, although many recent articles have sought to investigate new perspectives. This narrative review aims to provide the reader with an overview of the applications and advantages of DECT in thoracic diseases, focusing on the most recent innovations. The research process was conducted on the databases of Pubmed and Cochrane. The article is organized according to the anatomical district: the review will focus on pleural, lung parenchymal, breast, mediastinal, lymph nodes, vascular and skeletal applications of DECT. In conclusion, considering the new potential applications and the evidence reported in the latest papers, DECT is progressively entering the daily practice of radiologists, and by reading this simple narrative review, every radiologist will know the state of the art of DECT in thoracic diseases.
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Affiliation(s)
- Armando Perrella
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy
| | - Giulio Bagnacci
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy
| | - Nunzia Di Meglio
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy
| | - Vito Di Martino
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy
| | - Maria Antonietta Mazzei
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy
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