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Yang J, Deng L, Jing M, Xu M, Liu X, Li S, Zhang L, Xi H, Yuan L, Zhou J. Added value of spectral computed tomography quantitative parameters for differentiating tuberculosis-associated fibrosing mediastinitis from endobronchial lung cancer: initial results. Clin Radiol 2024; 79:526-535. [PMID: 38658213 DOI: 10.1016/j.crad.2024.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 02/09/2024] [Accepted: 02/14/2024] [Indexed: 04/26/2024]
Abstract
OBJECTIVE The objective of this study was to explore the added value of spectral computed tomography (CT) parameters to conventional CT features for differentiating tuberculosis-associated fibrosing mediastinitis (TB-associated FM) from endobronchial lung cancer (EBLC). METHODS Chest spectral CT enhancement images from 109 patients with atelectasis were analyzed retrospectively. These patients were divided into two distinct categories: the TB-associated FM group (n = 77) and the EBLC group (n = 32), based on bronchoscopy and/or pathological findings. The selection of spectrum parameters was optimized with the least absolute shrinkage and selection operator regression analysis. The relationship between the spectrum parameters and conventional parameters was explored using Pearson's correlation. Multivariate logistic regression analysis was used to build spectrum model. The spectrum parameters in the spectrum model were replaced with their corresponding conventional parameters to build the conventional model. Diagnostic performances were evaluated using receiver operating characteristic curve analyses. RESULTS There was a moderate correlation between the parameters ㏒(L-AEFNIC) - ㏒(L-AEFC) (r= 0.419; p< 0.0001), ㏒(O-AEF40KeV) - ㏒(O-AEFC) (r= 0.475; p< 0.0001), [L-A-hydroxyapatite {HAP}(I)] - (L-U-CT) (r= 0.604; p< 0.0001), {arterial enhancement fraction (AEF) derived from normalized iodine concentration (NIC) of lymph node (L-AEFNIC), AEF derived from CT40KeV of bronchial obstruction (O-AEF40KeV), arterial-phase Hydroxyapatite (Iodine) concentration of lymph node [L-A-HAP(I)], AEF derived from conventional CT (AEFC), unenhanced CT value (U-CT)}. Spectrum model could improve diagnostic performances compared to conventional model (area under curve: 0.965 vs 0.916, p= 0.038). CONCLUSION There was a moderate correlation between spectrum parameters and conventional parameters. Integrating conventional CT features with spectrum parameters could further improve the ability in differentiating TB-associated FM from EBLC.
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Affiliation(s)
- J Yang
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, China.
| | - L Deng
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, China.
| | - M Jing
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, China.
| | - M Xu
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, China.
| | - X Liu
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, China.
| | - S Li
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, China.
| | - L Zhang
- Zhang Ye People's Hospital Affiliated to Hexi University, Zhangye, 73400, China.
| | - H Xi
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, China.
| | - L Yuan
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, China.
| | - J Zhou
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, China.
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Haag F, Emmrich SS, Hertel A, Rink JS, Nörenberg D, Schoenberg SO, Froelich MF. Virtual Non-Contrast versus True Native in Photon-Counting CT: Stability of Density of Upper Abdominal Organs and Vessels. Diagnostics (Basel) 2024; 14:1130. [PMID: 38893656 PMCID: PMC11171968 DOI: 10.3390/diagnostics14111130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 05/10/2024] [Accepted: 05/20/2024] [Indexed: 06/21/2024] Open
Abstract
The clinical use of photon-counting CT (PCCT) allows for the generation of virtual non-contrast (VNC) series from contrast-enhanced images. In routine clinical practice, specific issues such as ruling out acute bleeding require non-contrast images. The aim of this study is to evaluate the use of PCCT-derived VNC reconstructions in abdominal imaging. PCCT scans of 17 patients including early arterial, portal venous and native sequences were enrolled. VNC reconstructions have been calculated. In every sequence and VNC reconstruction, 10 ROIs were measured (portal vein, descending aorta, inferior vena cava, liver parenchyma, spleen parenchyma, erector spinae muscle, subcutaneous adipose tissue, first lumbar vertebral body, air, and psoas muscle) and density values were compared. The VNC reconstructions show significant changes in density compared to the contrast-enhanced images. However, there were no significant differences present between the true non-contrast (TNC) and any VNC reconstructions in the observed organs and vessels. Significant differences (p < 0.05) between the measured mean density values in the TNC versus VNC reconstructions were found in fat and bone tissue. The PCCT-derived VNC reconstructions seemed to be comparable to the TNC images, despite some deviations shown in the adipose tissue and bone structures. However, the further benefits in terms of specific clinical issues need to be evaluated.
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Affiliation(s)
- Florian Haag
- Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1–3, 68167 Mannheim, Germany
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Meloni A, Maffei E, Clemente A, De Gori C, Occhipinti M, Positano V, Berti S, La Grutta L, Saba L, Cau R, Bossone E, Mantini C, Cavaliere C, Punzo B, Celi S, Cademartiri F. Spectral Photon-Counting Computed Tomography: Technical Principles and Applications in the Assessment of Cardiovascular Diseases. J Clin Med 2024; 13:2359. [PMID: 38673632 PMCID: PMC11051476 DOI: 10.3390/jcm13082359] [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: 03/16/2024] [Revised: 04/15/2024] [Accepted: 04/16/2024] [Indexed: 04/28/2024] Open
Abstract
Spectral Photon-Counting Computed Tomography (SPCCT) represents a groundbreaking advancement in X-ray imaging technology. The core innovation of SPCCT lies in its photon-counting detectors, which can count the exact number of incoming x-ray photons and individually measure their energy. The first part of this review summarizes the key elements of SPCCT technology, such as energy binning, energy weighting, and material decomposition. Its energy-discriminating ability represents the key to the increase in the contrast between different tissues, the elimination of the electronic noise, and the correction of beam-hardening artifacts. Material decomposition provides valuable insights into specific elements' composition, concentration, and distribution. The capability of SPCCT to operate in three or more energy regimes allows for the differentiation of several contrast agents, facilitating quantitative assessments of elements with specific energy thresholds within the diagnostic energy range. The second part of this review provides a brief overview of the applications of SPCCT in the assessment of various cardiovascular disease processes. SPCCT can support the study of myocardial blood perfusion and enable enhanced tissue characterization and the identification of contrast agents, in a manner that was previously unattainable.
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Affiliation(s)
- Antonella Meloni
- Bioengineering Unit, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.)
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.C.); (C.D.G.); (M.O.)
| | - Erica Maffei
- Department of Radiology, Istituto di Ricovero e Cura a Carattere Scientifico SYNLAB SDN, 80131 Naples, Italy; (E.M.); (C.C.); (B.P.)
| | - Alberto Clemente
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.C.); (C.D.G.); (M.O.)
| | - Carmelo De Gori
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.C.); (C.D.G.); (M.O.)
| | - Mariaelena Occhipinti
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.C.); (C.D.G.); (M.O.)
| | - Vicenzo Positano
- Bioengineering Unit, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.)
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.C.); (C.D.G.); (M.O.)
| | - Sergio Berti
- Diagnostic and Interventional Cardiology Department, Fondazione G. Monasterio CNR-Regione Toscana, 54100 Massa, Italy;
| | - Ludovico La Grutta
- Department of Radiology, University Hospital “P. Giaccone”, 90127 Palermo, Italy;
| | - Luca Saba
- Department of Radiology, University Hospital of Cagliari, 09042 Monserrato (CA), Italy; (L.S.); (R.C.)
| | - Riccardo Cau
- Department of Radiology, University Hospital of Cagliari, 09042 Monserrato (CA), Italy; (L.S.); (R.C.)
| | - Eduardo Bossone
- Department of Cardiology, Ospedale Cardarelli, 80131 Naples, Italy;
| | - Cesare Mantini
- Department of Radiology, “G. D’Annunzio” University, 66100 Chieti, Italy;
| | - Carlo Cavaliere
- Department of Radiology, Istituto di Ricovero e Cura a Carattere Scientifico SYNLAB SDN, 80131 Naples, Italy; (E.M.); (C.C.); (B.P.)
| | - Bruna Punzo
- Department of Radiology, Istituto di Ricovero e Cura a Carattere Scientifico SYNLAB SDN, 80131 Naples, Italy; (E.M.); (C.C.); (B.P.)
| | - Simona Celi
- BioCardioLab, Fondazione G. Monasterio CNR-Regione Toscana, 54100 Massa, Italy;
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.C.); (C.D.G.); (M.O.)
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Abu-Omar A, Murray N, Ali IT, Khosa F, Barrett S, Sheikh A, Nicolaou S, Tamburrini S, Iacobellis F, Sica G, Granata V, Saba L, Masala S, Scaglione M. Utility of Dual-Energy Computed Tomography in Clinical Conundra. Diagnostics (Basel) 2024; 14:775. [PMID: 38611688 PMCID: PMC11012177 DOI: 10.3390/diagnostics14070775] [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: 01/29/2024] [Revised: 03/25/2024] [Accepted: 03/27/2024] [Indexed: 04/14/2024] Open
Abstract
Advancing medical technology revolutionizes our ability to diagnose various disease processes. Conventional Single-Energy Computed Tomography (SECT) has multiple inherent limitations for providing definite diagnoses in certain clinical contexts. Dual-Energy Computed Tomography (DECT) has been in use since 2006 and has constantly evolved providing various applications to assist radiologists in reaching certain diagnoses SECT is rather unable to identify. DECT may also complement the role of SECT by supporting radiologists to confidently make diagnoses in certain clinically challenging scenarios. In this review article, we briefly describe the principles of X-ray attenuation. We detail principles for DECT and describe multiple systems associated with this technology. We describe various DECT techniques and algorithms including virtual monoenergetic imaging (VMI), virtual non-contrast (VNC) imaging, Iodine quantification techniques including Iodine overlay map (IOM), and two- and three-material decomposition algorithms that can be utilized to demonstrate a multitude of pathologies. Lastly, we provide our readers commentary on examples pertaining to the practical implementation of DECT's diverse techniques in the Gastrointestinal, Genitourinary, Biliary, Musculoskeletal, and Neuroradiology systems.
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Affiliation(s)
- Ahmad Abu-Omar
- Department of Emergency Radiology, University of British Columbia, Vancouver General Hospital, Vancouver, BC V5Z 1M9, Canada (I.T.A.)
| | - Nicolas Murray
- Department of Emergency Radiology, University of British Columbia, Vancouver General Hospital, Vancouver, BC V5Z 1M9, Canada (I.T.A.)
| | - Ismail T. Ali
- Department of Emergency Radiology, University of British Columbia, Vancouver General Hospital, Vancouver, BC V5Z 1M9, Canada (I.T.A.)
| | - Faisal Khosa
- Department of Emergency Radiology, University of British Columbia, Vancouver General Hospital, Vancouver, BC V5Z 1M9, Canada (I.T.A.)
| | - Sarah Barrett
- Department of Emergency Radiology, University of British Columbia, Vancouver General Hospital, Vancouver, BC V5Z 1M9, Canada (I.T.A.)
| | - Adnan Sheikh
- Department of Emergency Radiology, University of British Columbia, Vancouver General Hospital, Vancouver, BC V5Z 1M9, Canada (I.T.A.)
| | - Savvas Nicolaou
- Department of Emergency Radiology, University of British Columbia, Vancouver General Hospital, Vancouver, BC V5Z 1M9, Canada (I.T.A.)
| | - Stefania Tamburrini
- Department of Radiology, Ospedale del Mare-ASL NA1 Centro, Via Enrico Russo 11, 80147 Naples, Italy
| | - Francesca Iacobellis
- Department of General and Emergency Radiology, A. Cardarelli Hospital, Via A. Cardarelli 9, 80131 Naples, Italy;
| | - Giacomo Sica
- Department of Radiology, Monaldi Hospital, Azienda Ospedaliera dei Colli, 80131 Naples, Italy;
| | - Vincenza Granata
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS Di Napoli, 80131 Naples, Italy
| | - Luca Saba
- Medical Oncology Department, AOU Cagliari, Policlinico Di Monserrato (CA), 09042 Monserrato, Italy
| | - Salvatore Masala
- Department of Medicine, Surgery and Pharmacy, University of Sassari, Viale S. Pietro, 07100 Sassari, Italy; (S.M.)
| | - Mariano Scaglione
- Department of Medicine, Surgery and Pharmacy, University of Sassari, Viale S. Pietro, 07100 Sassari, Italy; (S.M.)
- Department of Radiology, Pineta Grande Hospital, 81030 Castel Volturno, Italy
- Department of Radiology, James Cook University Hospital, Marton Road, Middlesbrough TS4 3BW, UK
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Liu MC, Ho CC, Lin YT, Chai JW, Hung SW, Wu CH, Li JR, Liu YJ. Opportunistic screening with multiphase contrast-enhanced dual-layer spectral CT for osteoblastic lesions in prostate cancer compared with bone scintigraphy. Sci Rep 2024; 14:5310. [PMID: 38438474 PMCID: PMC10912417 DOI: 10.1038/s41598-024-55427-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 02/23/2024] [Indexed: 03/06/2024] Open
Abstract
Our study aimed to compare bone scintigraphy and dual-layer detector spectral CT (DLCT) with multiphase contrast enhancement for the diagnosis of osteoblastic bone lesions in patients with prostate cancer. The patients with prostate cancer and osteoblastic bone lesions detected on DLCT were divided into positive bone scintigraphy group (pBS) and negative bone scintigraphy group (nBS) based on bone scintigraphy. A total of 106 patients (57 nBS and 49 pBS) was included. The parameters of each lesion were measured from DLCT including Hounsfield unit (HU), 40-140 keV monochromatic HU, effective nuclear numbers (Zeff), and Iodine no water (InW) value in non-contrast phase (N), the arterial phase (A), and venous phase (V). The slope of the spectral curve at 40 and 100 keV, the different values of the parameters between A and N phase (A-N), V and N phase (V-N), and hybrid prediction model with multiparameters were used to differentiate pBS from nBS. Receiver operating characteristic analysis was performed to compare the area under the curve (AUC) for differentiating the pBS group from the nBS group. The value of conventional HU values, slope, and InW in A-N and V-N, and hybrid model were significantly higher in the pBS group than in the nBS group. The hybrid model of all significant parameters had the highest AUC of 0.988, with 95.5% sensitivity and 94.6% specificity. DLCT with arterial contrast enhancement phase has the potential to serve as an opportunistic screening tool for detecting positive osteoblastic bone lesions, corresponding to those identified in bone scintigraphy.
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Affiliation(s)
- Ming-Cheng Liu
- Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan, ROC
- Ph.D. Program of Electrical and Communications Engineering, Feng Chia University, Taichung, Taiwan, ROC
| | - Chi-Chang Ho
- Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan, ROC
| | - Yen-Ting Lin
- Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan, ROC
- Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan, ROC
| | - Jyh-Wen Chai
- Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan, ROC
| | - Siu-Wan Hung
- Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan, ROC
| | - Chen-Hao Wu
- Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan, ROC
| | - Jian-Ri Li
- Division of Urology, Department of Surgery, Taichung Veterans General Hospital, Taichung, Taiwan, ROC
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan, ROC
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan, ROC
- Department of Medicine and Nursing, Hungkuang University, Taichung, Taiwan, ROC
| | - Yi-Jui Liu
- Ph.D. Program of Electrical and Communications Engineering, Feng Chia University, Taichung, Taiwan, ROC.
- Department of Automatic Control Engineering, Feng Chia University, No. 100 Wenhwa Rd., Xitun Dist., Taichung, 407102, Taiwan, ROC.
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Reizine E, Blain M, Pescatori L, Longère B, Ingels A, Boughamni W, Bouanane M, Mulé S, Luciani A. Applicability of Bosniak 2019 for renal mass classification on portal venous phase at the era of spectral CT imaging using rapid kV-switching dual-energy CT. Eur Radiol 2024; 34:1816-1824. [PMID: 37667141 DOI: 10.1007/s00330-023-10145-w] [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: 05/30/2023] [Revised: 05/30/2023] [Accepted: 07/10/2023] [Indexed: 09/06/2023]
Abstract
OBJECTIVES To evaluate the applicability of Bosniak 2019 criteria on a monophasic portal venous phase using rapid kilovoltage-switching DECT (rsDECT). MATERIALS AND METHODS One hundred twenty-seven renal masses assessed on rsDECT were included, classified according to Bosniak 2019 classification using MRI as the reference standard. Using the portal venous phase, virtual monochromatic images at 40, 50, and 77 keV; virtual unenhanced (VUE) images; and iodine map images were reconstructed. Changes in attenuation values between VUE and 40 keV, 50 keV, and 77 keV measurements were computed and respectively defined as ∆HU40keV, ∆HU50keV, and ∆HU77keV. The values of ∆HU40keV, ∆HU50keV, and ∆HU77keV thresholds providing the optimal diagnostic performance for the detection of internal enhancement were determined using Youden index. RESULTS Population study included 25 solid renal masses (25/127, 20%) and 102 cystic renal masses (102/127, 80%). To differentiate solid to cystic masses, the specificity of the predefined 20 HU threshold reached 88% (95%CI: 82, 93) using ∆HU77keV and 21% (95%CI: 15, 28) using ∆HU40keV. The estimated optimal threshold of attenuation change was 19 HU on ∆HU77keV, 69 HU on ∆HU50eV, and 111 HU on ∆HU40eV. The rsDECT classification was highly similar to that of MRI for solid renal masses (23/25, 92%) and for Bosniak 1 masses (62/66, 94%). However, 2 hyperattenuating Bosniak 2 renal masses (2/26, 8%) were classified as solid renal masses on rsDECT. CONCLUSION DECT is a promising tool for Bosniak classification particularly to differentiate solid from Bosniak I-II cyst. However, known enhancement thresholds must be adapted especially to the energy level of virtual monochromatic reconstructions. CLINICAL STATEMENT DECT is a promising tool for Bosniak classification; however, known enhancement thresholds must be adapted according to the types of reconstructions used and especially to the energy level of virtual monochromatic reconstructions. KEY POINTS • To differentiate solid to cystic renal masses, predefined 20 HU threshold had a poor specificity using 40 keV virtual monochromatic images. • Most of Bosniak 1 masses according to MRI were also classified as Bosniak 1 on rapid kV-switching dual-energy CT (rsDECT). • Bosniak 2 hyperattenuating renal cysts mimicked solid lesion on rsDECT.
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Affiliation(s)
- Edouard Reizine
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France.
- Faculté de Médecine, Université Paris Est Creteil, 94010, Creteil, France.
- INSERM Unit U 955, Equipe 18, 94010, Creteil, France.
- Imagerie Médicale, CHU Henri Mondor, 51 Avenue du Marechal de Lattre de Tassigny, 94010, Créteil, France.
| | - Maxime Blain
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France
- Faculté de Médecine, Université Paris Est Creteil, 94010, Creteil, France
| | - Lorenzo Pescatori
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France
| | - Benjamin Longère
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France
- University Lille, U1011 - European Genomic Institute for Diabetes, 59000, Lille, France
- INSERM U1011, 59000, Lille, France
- Department of Cardiovascular Radiology, CHU Lille, 59000, Lille, France
- Institut Pasteur Lille, 59000, Lille, France
| | | | - Wafa Boughamni
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France
| | - Mohamed Bouanane
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France
| | - Sébastien Mulé
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France
- Faculté de Médecine, Université Paris Est Creteil, 94010, Creteil, France
- INSERM Unit U 955, Equipe 18, 94010, Creteil, France
| | - Alain Luciani
- Department of Radiology, APHP, HU Henri Mondor, Creteil, Val-de-Marne, France
- Faculté de Médecine, Université Paris Est Creteil, 94010, Creteil, France
- INSERM Unit U 955, Equipe 18, 94010, Creteil, France
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Catania R, Jia L, Haghshomar M, Miller FH, Borhani AA. Detection of moderate hepatic steatosis on contrast-enhanced dual-source dual-energy CT: Role and accuracy of virtual non-contrast CT. Eur J Radiol 2024; 172:111328. [PMID: 38325187 DOI: 10.1016/j.ejrad.2024.111328] [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: 10/20/2023] [Revised: 12/20/2023] [Accepted: 01/18/2024] [Indexed: 02/09/2024]
Abstract
PURPOSE To investigate diagnostic accuracy of virtual non contrast (VNC) images, based on dual-source dual-energy CT (dsDECT), for detection of at least moderate steatosis and to define a threshold value to make this diagnosis on VNC. METHODS This single-institution retrospective study included patients who had multi-phasic protocol dsDECT. Regions of interests were placed in different segments of the liver and spleen on true non-contrast (TNC), VNC, and portal-venous phase (PVP) images. At least moderate steatosis was defined as liver attenuation (LHU) < 40 HU on TNC. Diagnostic performance of VNC to detect steatosis was determined and the new threshold was tested in a validation cohort. RESULTS 236 patients were included in training cohort. Mean liver attenuation values were 51.3 ± 10.8 HU and 58.1 ± 11.5 HU for TNC and VNC (p < 0.001), with a mean difference (VNC - TNC) of 6.8 ± 6.9 HU. Correlation between TNC and VNC was strong (r = 0.81, p < 0.001). The AUCs of LHU on VNC for detection of hepatic steatosis were 0.92 (95 % Cl: 0.86-0.98), 0.92 (95 % Cl: 0.87-0.97), 0.92 (95 % Cl: 0.86-0.99), 0.91 (95 % Cl: 0.84-0.97), and 0.87 (95 % Cl: 0.80-0.95) for entire liver, left lateral, left medial, right anterior, and right posterior segments, respectively. VNC had sensitivity/specificity of 100 % /42 % when using a threshold of 40 HU; they were 69 % and 95 %, respectively, when using optimized threshold of 46 HU. This threshold showed similar performance in validation cohort (n = 80). CONCLUSIONS Hepatic attenuation on VNC has promising performance for detection of at least moderate steatosis. Proposed threshold of 46 HU provides high specificity and moderate sensitivity to detect steatosis.
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Affiliation(s)
- Roberta Catania
- Department of Radiology, Northwestern University Feinberg School of Medicine, 676 N. Saint Clair Street, Arkes Family Pavilion, Suite 800, Chicago, IL 60611, United States.
| | - Leo Jia
- Department of Radiology, Northwestern University Feinberg School of Medicine, 676 N. Saint Clair Street, Arkes Family Pavilion, Suite 800, Chicago, IL 60611, United States.
| | - Maryam Haghshomar
- Department of Radiology, Northwestern University Feinberg School of Medicine, 676 N. Saint Clair Street, Arkes Family Pavilion, Suite 800, Chicago, IL 60611, United States.
| | - Frank H Miller
- Department of Radiology, Northwestern University Feinberg School of Medicine, 676 N. Saint Clair Street, Arkes Family Pavilion, Suite 800, Chicago, IL 60611, United States.
| | - Amir A Borhani
- Department of Radiology, Northwestern University Feinberg School of Medicine, 676 N. Saint Clair Street, Arkes Family Pavilion, Suite 800, Chicago, IL 60611, United States.
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Yalon M, Inoue A, Thorne JE, Lee YS, Johnson MP, Esquivel A, Leng S, McCollough CH, Fletcher JG, Rajiah PS. Infrapopliteal Segments on Lower Extremity CTA: Prospective Intraindividual Comparison of Energy-Integrating Detector CT and Photon-Counting Detector CT. AJR Am J Roentgenol 2024; 222:e2329778. [PMID: 37991334 DOI: 10.2214/ajr.23.29778] [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] [Indexed: 11/23/2023]
Abstract
BACKGROUND. The higher spatial resolution and image contrast for iodine-containing tissues of photon-counting detector (PCD) CT may address challenges in evaluating small calcified vessels when performing lower extremity CTA by energy-integrating detector (EID) CTA. OBJECTIVE. The purpose of the study was to compare the evaluation of infrapopliteal vasculature between lower extremity CTA performed using EID CT and PCD CT. METHODS. This prospective study included 32 patients (mean age, 69.7 ± 11.3 [SD] years; 27 men, five women) who underwent clinically indicated lower extremity EID CTA between April 2021 and March 2022; participants underwent investigational lower extremity PCD CTA later the same day as EID CTA using a reduced IV contrast media dose. Two radiologists independently reviewed examinations in two sessions, each containing a random combination of EID CTA and PCD CTA examinations; the readers assessed the number of visualized fibular perforators, characteristics of stenoses at 11 infrapopliteal segmental levels, and subjective arterial sharpness. RESULTS. Mean IV contrast media dose was 60.0 ± 11.0 (SD) mL for PCD CTA versus 139.6 ± 11.8 mL for EID CTA (p < .001). The number of identified fibular perforators per lower extremity was significantly higher for PCD CTA than for EID CTA for reader 1 (R1) (mean ± SD, 6.4 ± 3.2 vs 4.2 ± 2.4; p < .001) and reader 2 (R2) (8.8 ± 3.4 vs 7.6 ± 3.3; p = .04). Reader confidence for assessing stenosis was significantly higher for PCD CTA than for EID CTA for R1 (mean ± SD, 82.3 ± 20.3 vs 78.0 ± 20.2; p < .001) but not R2 (89.8 ± 16.7 vs 90.6 ± 7.1; p = .24). The number of segments per lower extremity with total occlusion was significantly lower for PCD CTA than for EID CTA for R2 (mean ± SD, 0.5 ± 1.3 vs 0.9 ± 1.7; p = .04) but not R1 (0.6 ± 1.3 vs 1.0 ± 1.5; p = .07). The number of segments per lower extremity with clinically significant nonocclusive stenosis was significantly higher for PCD CTA than for EID CTA for R1 (mean ± SD, 2.2 ± 2.2 vs 1.6 ± 1.7; p = .01) but not R2 (1.1 ± 2.0 vs 1.1 ± 1.4; p = .89). Arterial sharpness was significantly greater for PCD CTA than for EID CTA for R1 (mean ± SD, 3.2 ± 0.5 vs 1.8 ± 0.5; p < .001) and R2 (3.2 ± 0.4 vs 1.7 ± 0.8; p < .001). CONCLUSION. PCD CTA yielded multiple advantages relative to EID CTA for visualizing small infrapopliteal vessels and characterizing associated plaque. CLINICAL IMPACT. The use of PCD CTA may improve vascular evaluation in patients with peripheral arterial disease.
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Affiliation(s)
- Mariana Yalon
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Akitoshi Inoue
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
- Present affiliation: Department of Radiology, Shiga University of Medical Science, Shiga, Japan
| | - Jamison E Thorne
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Yong S Lee
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Matthew P Johnson
- Department of Quantitative Health Science, Mayo Clinic, Rochester, MN
| | - Andrea Esquivel
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Shuai Leng
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | | | - Joel G Fletcher
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
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9
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Zhou Y, Xu YK, Geng D, Wang JW, Chen XB, Si Y, Shen MP, Su GY, Xu XQ, Wu FY. Added value of arterial enhancement fraction derived from dual-energy computed tomography for preoperative diagnosis of cervical lymph node metastasis in papillary thyroid cancer: initial results. Eur Radiol 2024; 34:1292-1301. [PMID: 37589903 DOI: 10.1007/s00330-023-10109-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 06/09/2023] [Accepted: 06/29/2023] [Indexed: 08/18/2023]
Abstract
OBJECTIVES To explore the added value of arterial enhancement fraction (AEF) derived from dual-energy computed tomography CT (DECT) to conventional image features for diagnosing cervical lymph node (LN) metastasis in papillary thyroid cancer (PTC). METHODS A total of 273 cervical LNs (153 non-metastatic and 120 metastatic) were recruited from 92 patients with PTC. Qualitative image features of LNs were assessed. Both single-energy CT (SECT)-derived AEF (AEFS) and DECT-derived AEF (AEFD) were calculated. Correlation between AEFD and AEFS was determined using Pearson's correlation coefficient. Multivariate logistic regression analysis with the forward variable selection method was used to build three models (conventional features, conventional features + AEFS, and conventional features + AEFD). Diagnostic performances were evaluated using receiver operating characteristic (ROC) curve analyses. RESULTS Abnormal enhancement, calcification, and cystic change were chosen to build model 1 and the model provided moderate diagnostic performance with an area under the ROC curve (AUC) of 0.675. Metastatic LNs demonstrated both significantly higher AEFD (1.14 vs 0.48; p < 0.001) and AEFS (1.08 vs 0.38; p < 0.001) than non-metastatic LNs. AEFD correlated well with AEFS (r = 0.802; p < 0.001), and exhibited comparable performance with AEFS (AUC, 0.867 vs 0.852; p = 0.628). Combining CT image features with AEFS (model 2) and AEFD (model 3) could significantly improve diagnostic performances (AUC, 0.865 vs 0.675; AUC, 0.883 vs 0.675; both p < 0.001). CONCLUSIONS AEFD correlated well with AEFS, and exhibited comparable performance with AEFS. Integrating qualitative CT image features with both AEFS and AEFD could further improve the ability in diagnosing cervical LN metastasis in PTC. CLINICAL RELEVANCE STATEMENT Arterial enhancement fraction (AEF) values, especially AEF derived from dual-energy computed tomography, can help to diagnose cervical lymph node metastasis in patients with papillary thyroid cancer, and complement conventional CT image features for improved clinical decision making. KEY POINTS • Metastatic cervical lymph nodes (LNs) demonstrated significantly higher arterial enhancement fraction (AEF) derived from dual-energy computed tomography (DECT) and single-energy CT (SECT)-derived AEF (AEFS) than non-metastatic LNs in patients with papillary thyroid cancer. • DECT-derived AEF (AEFD) correlated significantly with AEFS, and exhibited comparable performance with AEFS. • Integrating qualitative CT images features with both AEFS and AEFD could further improve the differential ability.
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Affiliation(s)
- Yan Zhou
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Rd, Gulou District, Nanjing, China
| | - Yong-Kang Xu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Rd, Gulou District, Nanjing, China
| | - Di Geng
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Rd, Gulou District, Nanjing, China
| | - Jing-Wei Wang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Rd, Gulou District, Nanjing, China
| | - Xing-Biao Chen
- Section of Clinical Research, Philips Healthcare Ltd, Shanghai, China
| | - Yan Si
- Department of Thyroid Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Mei-Ping Shen
- Department of Thyroid Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Guo-Yi Su
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Rd, Gulou District, Nanjing, China
| | - Xiao-Quan Xu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Rd, Gulou District, Nanjing, China.
| | - Fei-Yun Wu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Rd, Gulou District, Nanjing, China.
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10
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Pan C, Dai F, Sheng L, Li K, Qiao W, Kang Z, Zhang X. Clinical application of spectral CT perfusion scanning in evaluating the blood supply source of portal vein tumor thrombus in hepatocellular carcinoma. Front Oncol 2024; 13:1348679. [PMID: 38304029 PMCID: PMC10832025 DOI: 10.3389/fonc.2023.1348679] [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: 12/03/2023] [Accepted: 12/27/2023] [Indexed: 02/03/2024] Open
Abstract
Purpose To evaluate the characteristic of blood supply of liver portal vein tumor thrombus (PVTT) using perfusion indexes and spectral parameters. Methods Between July 2020 and December 2022, the study enrolled 25 liver cancer patients completed with PVTT (male=20, female=5; age 41-74 years (59.48 ± 9.12)) from the Interventional Department of Jiangsu Cancer Hospital. There were 11 cases of type III PVTT, 12 of type II PVTT, and 2 of type I PVTT (Cheng's classification). All patients underwent spectral perfusion scans through dual-layer spectral detector computed tomography. The PVTTs were divided into proximal and distal groups based on the distance between the tumor thrombus and the main portal vein. The perfusion analysis was performed on the 120-kVp conventional images to generate hepatic perfusion index (HPI). The spectral based images (SBIs) during the artery and venous peak phases were extracted from the perfusion data. The iodine map and 40&100-keV virtual monoenergetic image (VMI) were generated from SBI data. HPI, iodine concentration (IC), CT value at 40 and 100-keV, and spectral slope (40-100keV) of the primary lesion, proximal and distal PVTT, and liver parenchyma were measured and compared. The correlation between the primary lesion and proximal and distal PVTT was analyzed. Results The IC and spectral slope during the arterial and venous peak phases and HPI of the primary lesion, proximal PVTT, and distal PVTT were highly correlated (P<0.001). The differences between the IC and spectral slope during the arterial and venous peak phases and HPI of the primary lesion, proximal PVTT were statistically significant (P<0.001). The differences between the IC during venous peak phase and HPI of primary lesion, distal PVTT were statistically significant (P<0.001), and there was no statistically significant difference in arterial phase IC, arterial and venous phase spectral slopes. Conclusion The IC, slope, and HPI of the distal and proximal PVTT were highly correlated with the primary lesion, indicating that PVTT was similar to the primary lesion in the liver that they were both mainly supplied by the hepatic artery. However, there was still significant heterogeneity between the proximal PVTT and the primary lesion, while the difference in the distal PVTT was relatively small.
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Affiliation(s)
- Chunhan Pan
- Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Nanjing, China
| | - Feng Dai
- Department of Intervention, The Second Hospital of Nanjing, Nanjing, China
| | - Liuli Sheng
- Department of Radiology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Kang Li
- Department of Radiology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Wei Qiao
- Department of Radiology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Zheng Kang
- Department of Radiology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Xiuming Zhang
- Department of Radiology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
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11
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Kronfeld A, Rose P, Baumgart J, Brockmann C, Othman AE, Schweizer B, Brockmann MA. Quantitative multi-energy micro-CT: A simulation and phantom study for simultaneous imaging of four different contrast materials using an energy integrating detector. Heliyon 2024; 10:e23013. [PMID: 38148814 PMCID: PMC10750148 DOI: 10.1016/j.heliyon.2023.e23013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 11/23/2023] [Accepted: 11/23/2023] [Indexed: 12/28/2023] Open
Abstract
Emerging from the development of single-energy Computed Tomography (CT) and Dual-Energy Computed Tomography, Multi-Energy Computed Tomography (MECT) is a promising tool allowing advanced material and tissue decomposition and thereby enabling the use of multiple contrast materials in preclinical research. The scope of this work was to evaluate whether a usual preclinical micro-CT system is applicable for the decomposition of different materials using MECT together with a matrix-inversion method and how different changes of the measurement-environment affect the results. A matrix-inversion based algorithm to differentiate up to five materials (iodine, iron, barium, gadolinium, residual material) by applying four different acceleration voltages/energy levels was established. We carried out simulations using different ratios and concentrations (given in fractions of volume units, VU) of the four different materials (plus residual material) at different noise-levels for 30 keV, 40 keV, 50 keV, 60 keV, 80 keV and 100 keV (monochromatic). Our simulation results were then confirmed by using region of interest-based measurements in a phantom-study at corresponding acceleration voltages. Therefore, different mixtures of contrast materials were scanned using a micro-CT. Voxel wise evaluation of the phantom imaging data was conducted to confirm its usability for future imaging applications and to estimate the influence of varying noise-levels, scattering, artifacts and concentrations. The analysis of our simulations showed the smallest deviation of 0.01 (0.003-0.15) VU between given and calculated concentrations of the different contrast materials when using an energy-combination of 30 keV, 40 keV, 50 keV and 100 keV for MECT. Subsequent MECT phantom measurements, however, revealed a combination of acceleration voltages of 30 kV, 40 kV, 60 kV and 100 kV as most effective for performing material decomposition with a deviation of 0.28 (0-1.07) mg/ml. The feasibility of our voxelwise analyses using the proposed algorithm was then confirmed by the generation of phantom parameter-maps that matched the known contrast material concentrations. The results were mostly influenced by the noise-level and the concentrations used in the phantoms. MECT using a standard micro-CT combined with a matrix inversion method is feasible at four different imaging energies and allows the differentiation of mixtures of up to four contrast materials plus an additional residual material.
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Affiliation(s)
- Andrea Kronfeld
- University Medical Center of the Johannes Gutenberg University Mainz, Department of Neuroradiology, Langenbeck 1, 55131, Mainz, Germany
| | - Patrick Rose
- University Medical Center of the Johannes Gutenberg University Mainz, Department of Neuroradiology, Langenbeck 1, 55131, Mainz, Germany
- RheinMain University of Applied Sciences, Faculty of Engineering, Am Brückweg 26, 65428, Rüsselsheim am Main, Germany
| | - Jan Baumgart
- University Medical Center of the Johannes Gutenberg University Mainz, Translational Animal Research Center, Hanns-Dieter-Hüsch-Weg 19, 55128, Mainz, Germany
| | - Carolin Brockmann
- University Medical Center of the Johannes Gutenberg University Mainz, Department of Neuroradiology, Langenbeck 1, 55131, Mainz, Germany
| | - Ahmed E. Othman
- University Medical Center of the Johannes Gutenberg University Mainz, Department of Neuroradiology, Langenbeck 1, 55131, Mainz, Germany
| | - Bernd Schweizer
- RheinMain University of Applied Sciences, Faculty of Engineering, Am Brückweg 26, 65428, Rüsselsheim am Main, Germany
| | - Marc Alexander Brockmann
- University Medical Center of the Johannes Gutenberg University Mainz, Department of Neuroradiology, Langenbeck 1, 55131, Mainz, Germany
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12
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Hu X, Shi S, Wang Y, Yuan J, Chen M, Wei L, Deng W, Feng ST, Peng Z, Luo Y. Dual-energy CT improves differentiation of non-hypervascular pancreatic neuroendocrine neoplasms from CA 19-9-negative pancreatic ductal adenocarcinomas. LA RADIOLOGIA MEDICA 2024; 129:1-13. [PMID: 37861978 DOI: 10.1007/s11547-023-01733-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 09/28/2023] [Indexed: 10/21/2023]
Abstract
PURPOSE To evaluate the utility of dual-energy CT (DECT) in differentiating non-hypervascular pancreatic neuroendocrine neoplasms (PNENs) from pancreatic ductal adenocarcinomas (PDACs) with negative carbohydrate antigen 19-9 (CA 19-9). METHODS This retrospective study included 26 and 39 patients with pathologically confirmed non-hypervascular PNENs and CA 19-9-negative PDACs, respectively, who underwent contrast-enhanced DECT before treatment between June 2019 and December 2021. The clinical, conventional CT qualitative, conventional CT quantitative, and DECT quantitative parameters of the two groups were compared using univariate analysis and selected by least absolute shrinkage and selection operator regression (LASSO) analysis. Multivariate logistic regression analyses were performed to build qualitative, conventional CT quantitative, DECT quantitative, and comprehensive models. The areas under the receiver operating characteristic curve (AUCs) of the models were compared using DeLong's test. RESULTS The AUCs of the DECT quantitative (based on normalized iodine concentrations [nICs] in the arterial and portal venous phases: 0.918; 95% confidence interval [CI] 0.852-0.985) and comprehensive (based on tumour location and nICs in the arterial and portal venous phases: 0.966; 95% CI 0.889-0.995) models were higher than those of the qualitative (based on tumour location: 0.782; 95% CI 0.665-0.899) and conventional CT quantitative (based on normalized conventional CT attenuation in the arterial phase: 0.665; 95% CI 0.533-0.797; all P < 0.05) models. The DECT quantitative and comprehensive models had comparable performances (P = 0.076). CONCLUSIONS Higher nICs in the arterial and portal venous phases were associated with higher blood supply improving the identification of non-hypervascular PNENs.
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Affiliation(s)
- Xuefang Hu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
- Department of Radiology, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, 518000, Guangdong, China
| | - Siya Shi
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Yangdi Wang
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Jiaxin Yuan
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Mingjie Chen
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Luyong Wei
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Weiwei Deng
- Clinical and Technical Support, Philips Healthcare China, Shanghai, 200072, China
| | - Shi-Ting Feng
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
| | - Zhenpeng Peng
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China.
| | - Yanji Luo
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China.
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Pisuchpen N, Parakh A, Cao J, Yuenyongsinchai K, Joseph E, Lennartz S, Kongboonvijit S, Sahani D, Kambadakone A. Diagnostic performance and feasibility of dual-layer detector dual-energy CT for characterization of urinary stones in patients of different sizes. Abdom Radiol (NY) 2024; 49:209-219. [PMID: 38041709 DOI: 10.1007/s00261-023-04116-4] [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: 07/31/2023] [Revised: 10/25/2023] [Accepted: 10/26/2023] [Indexed: 12/03/2023]
Abstract
BACKGROUND Urinary stones are frequently encountered in urology and are typically identified using non-contrast CT scans. Dual-energy CT (DECT) is a valuable imaging technique that produces material-specific images and allows for precise assessment of stone composition by estimating the effective atomic number (Zeff), a capability not achievable with the conventional single-energy CT's attenuation measurement method. PURPOSE To investigate the diagnostic performance and image quality of dual-layer detector DECT (dlDECT) in characterizing urinary stones in patients of different sizes. METHODS All consecutive dlDECT examinations with stone protocol and presence of urinary stones between July 2018 and November 2019 were retrospectively evaluated. Two radiologists independently reviewed 120 kVp and color-overlay Zeff images to determine stone composition (reference standard = crystallography) and image quality. The objective analysis included image noise and Zeff values measurement. RESULTS A total of 739 urinary stones (median size 3.7 mm, range 1-35 mm) were identified on 177 CT examinations from 155 adults (mean age, 57 ± 15 years, 80 men, median weight 82.6 kg, range 42.6-186.9 kg). Using color-overlay Zeff images, the radiologists could subjectively interpret the composition in all stones ≥ 3 mm (n = 491). For stones with available reference standards (n = 74), dlDECT yielded a sensitivity of 80% (95%CI 44-98%) and a specificity of 98% (95%CI 92-100%) in visually discriminating uric acid from non-uric acid stones. Patients weighing > 90 kg and ≤ 90 kg had similar stone characterizability (p = 0.20), with 86% of stones characterized in the > 90 kg group and 87% in the ≤ 90 kg group. All examinations throughout various patients' weights revealed acceptable image quality. A Zeff cutoff of 7.66 accurately distinguished uric acid from non-uric acid stones (AUC = 1.00). Zeff analysis revealed AUCs of 0.78 and 0.91 for differentiating calcium-based stones from other non-uric stones and all stone types, respectively. CONCLUSION dlDECT allowed accurate differentiation of uric acid and non-uric acid stones among patients with different body sizes with acceptable image quality. CLINICAL IMPACT The ability to accurately differentiate uric acid stones from non-uric acid stones using color-overlay Zeff images allows for better tailored treatment strategies, helping to choose appropriate interventions and prevent potential complications related to urinary stones in patient care.
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Affiliation(s)
- Nisanard Pisuchpen
- Abdominal Radiology Division, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA
- Department of Radiology, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Faculty of Medicine, Chulalongkorn University, 1873 Rama 4 Road, Pathumwan, Bangkok, 10330, Thailand
| | - Anushri Parakh
- Abdominal Radiology Division, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA
| | - Jinjin Cao
- Abdominal Radiology Division, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA
| | - Kampon Yuenyongsinchai
- Abdominal Radiology Division, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA
- Department of Radiology, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Faculty of Medicine, Chulalongkorn University, 1873 Rama 4 Road, Pathumwan, Bangkok, 10330, Thailand
| | - Evita Joseph
- Abdominal Radiology Division, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA
| | - Simon Lennartz
- Abdominal Radiology Division, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA
- Institute for Diagnostic and Interventional Radiology, University Cologne, Faculty of Medicine and University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Sasiprang Kongboonvijit
- Abdominal Radiology Division, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA
- Department of Radiology, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Faculty of Medicine, Chulalongkorn University, 1873 Rama 4 Road, Pathumwan, Bangkok, 10330, Thailand
| | - Dushyant Sahani
- Department of Radiology, University of Washington, UWMC Radiology RR218, 1959 NE Pacific St, Seattle, WA, 98195, USA
| | - Avinash Kambadakone
- Abdominal Radiology Division, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA.
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14
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Dell’Aversana S, Ascione R, Vitale RA, Cavaliere F, Porcaro P, Basile L, Napolitano G, Boccalatte M, Sibilio G, Esposito G, Franzone A, Di Costanzo G, Muscogiuri G, Sironi S, Cuocolo R, Cavaglià E, Ponsiglione A, Imbriaco M. CT Coronary Angiography: Technical Approach and Atherosclerotic Plaque Characterization. J Clin Med 2023; 12:7615. [PMID: 38137684 PMCID: PMC10744060 DOI: 10.3390/jcm12247615] [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: 11/11/2023] [Revised: 12/08/2023] [Accepted: 12/08/2023] [Indexed: 12/24/2023] Open
Abstract
Coronary computed tomography angiography (CCTA) currently represents a robust imaging technique for the detection, quantification and characterization of coronary atherosclerosis. However, CCTA remains a challenging task requiring both high spatial and temporal resolution to provide motion-free images of the coronary arteries. Several CCTA features, such as low attenuation, positive remodeling, spotty calcification, napkin-ring and high pericoronary fat attenuation index have been proved as associated to high-risk plaques. This review aims to explore the role of CCTA in the characterization of high-risk atherosclerotic plaque and the recent advancements in CCTA technologies with a focus on radiomics plaque analysis.
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Affiliation(s)
- Serena Dell’Aversana
- Department of Radiology, Santa Maria Delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy; (S.D.); (G.D.C.); (E.C.)
| | - Raffaele Ascione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Raffaella Antonia Vitale
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Fabrizia Cavaliere
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Piercarmine Porcaro
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Luigi Basile
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | | | - Marco Boccalatte
- Coronary Care Unit, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy; (M.B.); (G.S.)
| | - Gerolamo Sibilio
- Coronary Care Unit, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy; (M.B.); (G.S.)
| | - Giovanni Esposito
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Anna Franzone
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Giuseppe Di Costanzo
- Department of Radiology, Santa Maria Delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy; (S.D.); (G.D.C.); (E.C.)
| | - Giuseppe Muscogiuri
- Department of Radiology, ASST Papa Giovanni XXIII Hospital, Piazza OMS 1, 24127 Bergamo, Italy; (G.M.); (S.S.)
| | - Sandro Sironi
- Department of Radiology, ASST Papa Giovanni XXIII Hospital, Piazza OMS 1, 24127 Bergamo, Italy; (G.M.); (S.S.)
- School of Medicine and Surgery, University of Milano Bicocca, 20126 Milan, Italy
| | - Renato Cuocolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, 84081 Baronissi, Italy;
| | - Enrico Cavaglià
- Department of Radiology, Santa Maria Delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy; (S.D.); (G.D.C.); (E.C.)
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
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15
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Braun FM, Risch F, Decker JA, Woźnicki P, Bette S, Becker J, Rippel K, Scheurig-Münkler C, Kröncke TJ, Schwarz F. Image Characteristics of Virtual Non-Contrast Series Derived from Photon-Counting Detector Coronary CT Angiography-Prerequisites for and Feasibility of Calcium Quantification. Diagnostics (Basel) 2023; 13:3402. [PMID: 37998539 PMCID: PMC10670685 DOI: 10.3390/diagnostics13223402] [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: 09/28/2023] [Revised: 11/03/2023] [Accepted: 11/06/2023] [Indexed: 11/25/2023] Open
Abstract
In photon-counting detector CT (PCD-CT), coronary artery calcium scoring (CACS) can be performed using virtual non-contrast (VNC) series derived from coronary CT angiography (CCTA) datasets. Our study analyzed image characteristics of VNC series in terms of the efficacy of virtual iodine "removal" and image noise to determine whether the prerequisites for calcium quantification were satisfied. We analyzed 38 patients who had undergone non-enhanced CT followed by CCTA on a PCD-CT. VNC reconstructions were performed at different settings and algorithms (conventional VNCConv; PureCalcium VNCPC). Virtual iodine "removal" was investigated by comparing histograms of heart volumes. Noise was assessed within the left ventricular cavity. Calcium was quantified on the true non-contrast (TNC) and all VNC series. The histograms were comparable for TNC and all VNC. Image noise between TNC and all VNC differed slightly but significantly. VNCConv CACS showed a significant underestimation regardless of the reconstruction setting, while VNCPC CACS were comparable to TNC. Correlations between TNC and VNC were excellent, with a higher predictive accuracy for VNCPC. In conclusion, the iodine contrast can be effectively subtracted from CCTA datasets. The remaining VNC series satisfy the requirements for CACS, yielding results with excellent correlation compared to TNC-based CACS and high predicting accuracy.
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Affiliation(s)
- Franziska M. Braun
- Clinic for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany; (F.M.B.); (J.A.D.); (P.W.); (S.B.); (J.B.); (C.S.-M.); (F.S.)
| | - Franka Risch
- Clinic for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany; (F.M.B.); (J.A.D.); (P.W.); (S.B.); (J.B.); (C.S.-M.); (F.S.)
| | - Josua A. Decker
- Clinic for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany; (F.M.B.); (J.A.D.); (P.W.); (S.B.); (J.B.); (C.S.-M.); (F.S.)
| | - Piotr Woźnicki
- Clinic for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany; (F.M.B.); (J.A.D.); (P.W.); (S.B.); (J.B.); (C.S.-M.); (F.S.)
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080 Würzburg, Germany
| | - Stefanie Bette
- Clinic for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany; (F.M.B.); (J.A.D.); (P.W.); (S.B.); (J.B.); (C.S.-M.); (F.S.)
| | - Judith Becker
- Clinic for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany; (F.M.B.); (J.A.D.); (P.W.); (S.B.); (J.B.); (C.S.-M.); (F.S.)
| | - Katharina Rippel
- Clinic for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany; (F.M.B.); (J.A.D.); (P.W.); (S.B.); (J.B.); (C.S.-M.); (F.S.)
| | - Christian Scheurig-Münkler
- Clinic for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany; (F.M.B.); (J.A.D.); (P.W.); (S.B.); (J.B.); (C.S.-M.); (F.S.)
| | - Thomas J. Kröncke
- Clinic for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany; (F.M.B.); (J.A.D.); (P.W.); (S.B.); (J.B.); (C.S.-M.); (F.S.)
| | - Florian Schwarz
- Clinic for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany; (F.M.B.); (J.A.D.); (P.W.); (S.B.); (J.B.); (C.S.-M.); (F.S.)
- DONAUISAR Clinic Deggendorf, Perlasberger Str. 41, 94469 Deggendorf, Germany
- Medical Faculty, Ludwig Maximilian University of Munich, Geschwister-Scholl-Platz 1, 80539 Munich, Germany
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16
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Nehra AK, Dane B, Yeh BM, Fletcher JG, Leng S, Mileto A. Dual-Energy, Spectral and Photon Counting Computed Tomography for Evaluation of the Gastrointestinal Tract. Radiol Clin North Am 2023; 61:1031-1049. [PMID: 37758355 DOI: 10.1016/j.rcl.2023.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
The use of dual-energy computed tomography (CT) allows for reconstruction of energy- and material-specific image series. The combination of low-energy monochromatic images, iodine maps, and virtual unenhanced images can improve lesion detection and disease characterization in the gastrointestinal tract in comparison with single-energy CT.
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Affiliation(s)
- Avinash K Nehra
- Department of Radiology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA.
| | - Bari Dane
- Department of Radiology, New York University Langone Medical Center, 550 First Avenue, New York, NY 10016, USA
| | - Benjamin M Yeh
- Department of Radiology and Biomedical Imaging, University of California, 505 Parnassus Avenue, San Francisco, CA 94143, USA
| | - Joel G Fletcher
- Department of Radiology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA
| | - Shuai Leng
- Department of Radiology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA
| | - Achille Mileto
- Department of Radiology, Virginia Mason Medical Center, 1100 9th Avenue, Seattle, WA 98101, USA
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17
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Virarkar MK, Mileto A, Vulasala SSR, Ananthakrishnan L, Bhosale P. Dual-Energy Computed Tomography Applications in the Genitourinary Tract. Radiol Clin North Am 2023; 61:1051-1068. [PMID: 37758356 DOI: 10.1016/j.rcl.2023.05.007] [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] [Indexed: 10/03/2023]
Abstract
By virtue of material differentiation capabilities afforded through dedicated postprocessing algorithms, dual-energy CT (DECT) has been shown to provide benefit in the evaluation of various diseases. In this article, we review the diagnostic use of DECT in the assessment of genitourinary diseases, with emphasis on its role in renal stone characterization, incidental renal and adrenal lesion characterization, retroperitoneal trauma, reduction of radiation, and contrast dose and cost-effectiveness potential. We also discuss future perspectives of the DECT scanning mode, including the use of novel contrast injection strategies and photon-counting detector computed tomography.
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Affiliation(s)
- Mayur K Virarkar
- Department of Radiology, University of Florida College of Medicine, Clinical Center, C90, 2nd Floor, 655 West 8th Street, Jacksonville, FL 32209, USA
| | - Achille Mileto
- Department of Radiology, Mayo Clinic, Mayo Building West, 2nd Floor, 200 First Street SW, Rochester, MN, 55905, USA
| | - Sai Swarupa R Vulasala
- Department of radiology, University of Florida College of Medicine, Clinical Center, C90, 2nd Floor, 655 West 8th Street, Jacksonville, FL, 32209, USA.
| | - Lakshmi Ananthakrishnan
- Department of Radiology, UT Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390, USA
| | - Priya Bhosale
- Department of Diagnostic Radiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 1479, Houston, TX 77030, USA
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18
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Chung R, Dane B, Yeh BM, Morgan DE, Sahani DV, Kambadakone A. Dual-Energy Computed Tomography: Technological Considerations. Radiol Clin North Am 2023; 61:945-961. [PMID: 37758362 DOI: 10.1016/j.rcl.2023.05.002] [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] [Indexed: 10/03/2023]
Abstract
Compared to conventional single-energy CT (SECT), dual-energy CT (DECT) provides additional information to better characterize imaged tissues. Approaches to DECT acquisition vary by vendor and include source-based and detector-based systems, each with its own advantages and disadvantages. Despite the different approaches to DECT acquisition, the most utilized DECT images include routine SECT equivalent, virtual monoenergetic, material density (eg, iodine map), and virtual non-contrast images. These images are generated either through reconstructions in the projection or image domains. Designing and implementing an optimal DECT workflow into routine clinical practice depends on radiologist and technologist input with special considerations including appropriate patient and protocol selection and workflow automation. In addition to better tissue characterization, DECT provides numerous advantages over SECT such as the characterization of incidental findings and dose reduction in radiation and iodinated contrast.
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Affiliation(s)
- Ryan Chung
- Department of Radiology, Massachusetts General Hospital, 55 Fruit Street, White 270, Boston, MA 02114, USA.
| | - Bari Dane
- Department of Radiology, NYU Langone Health, 660 1st Avenue, New York, NY 10016, USA
| | - Benjamin M Yeh
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, 505 Parnassus Avenue, M391, Box 0628, San Francisco, CA 94143-0628, USA
| | - Desiree E Morgan
- Department of Radiology, University of Alabama at Birmingham, 619 19th Street, South JTN 456, Birmingham, AL 35249-6830, USA
| | - Dushyant V Sahani
- Department of Radiology, University of Washington, 1959 Northeast Pacific Street, RR220, Seattle, WA 98112, USA
| | - Avinash Kambadakone
- Department of Radiology, Massachusetts General Hospital, 55 Fruit Street, White 270, Boston, MA 02114, USA
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19
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Rai A, Allen BD, Fuss C, Dennie C, Hanneman K. Standardized medical terminology for cardiac computed tomography 2023 update- commentary by North American Society of Cardiovascular Imaging (NASCI). THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2023; 39:2255-2257. [PMID: 37589871 DOI: 10.1007/s10554-023-02922-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/18/2023]
Affiliation(s)
- Archana Rai
- Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, ON, Canada
- Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, 1 PMB-298, 585 University Avenue, Toronto, ON, M5G 2N2, Canada
| | - Bradley D Allen
- Department of Radiology, Northwestern University, Chicago, IL, USA
| | - Cristina Fuss
- Department of Radiology and Biomedical imaging, Yale Medicine, New Haven, Connecticut, USA
| | - Carole Dennie
- Department of Radiology, Radiation Oncology and Medical Physics, The Ottawa Hospital, University of Ottawa, Ottawa, Canada
| | - Kate Hanneman
- Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, ON, Canada.
- Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, 1 PMB-298, 585 University Avenue, Toronto, ON, M5G 2N2, Canada.
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20
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Chang Y, Xing H, Shang Y, Liu Y, Yu L, Dai H. Preoperative predicting invasiveness of lung adenocarcinoma manifesting as ground-glass nodules based on multimodal images of dual-layer spectral detector CT radiomics models. J Cancer Res Clin Oncol 2023; 149:15425-15438. [PMID: 37642725 DOI: 10.1007/s00432-023-05311-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 08/16/2023] [Indexed: 08/31/2023]
Abstract
OBJECTIVE To construct and validate conventional and radiomics models based on dual-layer spectral CT radiomics for preoperative prediction of lung ground glass nodules (GGNs) invasiveness. MATERIALS AND METHODS A retrospective study was conducted on 176 GGNs patients who underwent chest non-contrast enhancement scan on dual-layer spectral detector CT at our hospital within 2 weeks before surgery. Patients were randomized into the training cohort and testing cohort. Clinical features, imaging features and spectral quantitative parameters were collected to establish a conventional model. Radiomics models were established by extracting 1781 radiomics features form regions of interest of each spectral image [120 kVp poly energetic images (PI), 60 keV images and electron density maps], respectively. After selecting the optimal radiomic features and integrating multiple machine learning models, the conventional model, PI model, 60 keV model, electron density (ED) model and combined model based on multimodal spectral images were finally established. The performance of these models was assessed through the evaluation of discrimination, calibration, and clinical application. RESULTS In the conventional model, age, vacuole sign, 60 keV and ED were independent risk factors of invasiveness. The combined model using logistic regression-least absolute shrinkage and selection operator classifiers was the optimal model with a higher area under the curve of the training (0.961, 95% confidence interval, CI: 0.932-0.991) and testing set (0.944, 0.890-0.999). CONCLUSION The combined models are helpful to predict the invasiveness of GGNs before surgery and guide the individualized treatment of patients.
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Affiliation(s)
- Yue Chang
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, People's Republic of China
| | - Hanqi Xing
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, People's Republic of China
| | - Yi Shang
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, People's Republic of China
| | - Yuanqing Liu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, People's Republic of China
| | - Lefan Yu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, People's Republic of China
| | - Hui Dai
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, People's Republic of China.
- Institute of Medical Imaging, Soochow University, Suzhou, 215006, Jiangsu Province, People's Republic of China.
- Suzhou Key Laboratory of Intelligent Medicine and Equipment, Suzhou, 215123, Jiangsu Province, People's Republic of China.
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21
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Rajiah PS, Kambadakone A, Ananthakrishnan L, Sutphin P, Kalva SP. Vascular Applications of Dual-Energy Computed Tomography. Radiol Clin North Am 2023; 61:1011-1029. [PMID: 37758354 DOI: 10.1016/j.rcl.2023.05.005] [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] [Indexed: 10/03/2023]
Abstract
Dual- or multi-energy CT imaging provides several advantages over conventional CT in the context of vascular imaging. Specific advantages include the use of low-energy virtual monoenergetic images (VMIs) to boost iodine attenuation to salvage suboptimal enhanced studies, perform low-contrast material dose studies, and increase conspicuity of small vessels and lesions. Alternatively, high-energy VMIs reduce artifacts caused by some metals, endoprosthesis, calcium blooming, and beam hardening. Virtual non-contrast (VNC) images reduce radiation dose by eliminating the need for a true non-contrast acquisition in multiphasic CT studies. Iodine maps can be used to evaluate perfusion of tissues and lesions.
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Affiliation(s)
- Prabhakar S Rajiah
- Department of Radiology, Mayo Clinic, 200 1st Street Southwest, Rochester, MN 55905, USA.
| | | | | | - Patrick Sutphin
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Sanjeeva P Kalva
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
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22
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Shim J, Kim K, Lee Y. Effect of iodine concentration reduction by comparison of virtual monoenergetic image quality with dual-energy computed tomography. Appl Radiat Isot 2023; 200:110967. [PMID: 37527620 DOI: 10.1016/j.apradiso.2023.110967] [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: 04/03/2023] [Revised: 07/20/2023] [Accepted: 07/28/2023] [Indexed: 08/03/2023]
Abstract
This study aimed to evaluate the image quality of virtual monoenergetic images (VMIs) with tube voltage modulation in pediatric abdominal computed tomography (CT) examination and to determine the effect of decreasing contrast agent concentration. Using a 1-year old pediatric phantom, five contrast agent concentration diluent tubes of 100%, 80%, 60%, 40%, and 20% of the same concentration as the average Hounsfield unit (HU) in the descending aorta were inserted, and the mixed image and VMIs (40, 60, and 80 keV) acquired using dual-energy CT were compared with single-energy CT (SECT) images. For quantitative evaluation, the HU and coefficient of variation (COV) of each image were compared and analyzed. The analysis revealed that the HU of the 40 keV VMIs, acquired with a tube voltage of 70 kV and 100% contrast agent concentration, was 61% higher than that of the SECT image. The results showed that SECT had the lowest COV among all contrast agent concentration and tube voltage combinations, while the 40 keV image acquired at 70 kV had the second-lowest COV value. The HU of the 40 keV image acquired at 70 kV at a contrast agent concentration of 100% was 9% higher than that of SECT at 80% concentration. This study confirms that 40 keV VMIs are more useful than SECT images for vascular diagnosis with contrast in pediatric abdominal CT examinations and that a 20% reduction in contrast agent concentration can reduce the risk of contrast agent concentration-induced nephrotoxicity in pediatric patients by increasing the subjective acceptability of image quality for diagnosis.
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Affiliation(s)
- Jina Shim
- Department of Diagnostic Radiology, Severance Hospital, Seoul, Republic of Korea
| | - Kyuseok Kim
- Department of Radiological Science, Gachon University, Incheon, Republic of Korea.
| | - Youngjin Lee
- Department of Radiological Science, Gachon University, Incheon, Republic of Korea.
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23
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Ehrengut C, Denecke T, Meyer HJ. Benefits of Dual-Layer Spectral CT Imaging in Staging and Preoperative Evaluation of Pancreatic Ductal Adenocarcinoma. J Clin Med 2023; 12:6145. [PMID: 37834789 PMCID: PMC10573525 DOI: 10.3390/jcm12196145] [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: 05/24/2023] [Revised: 09/10/2023] [Accepted: 09/20/2023] [Indexed: 10/15/2023] Open
Abstract
Imaging of pancreatic malignancies is challenging but has a major impact on the patients therapeutic approach and outcome. In particular with pancreatic ductal adenocarcinoma (PDAC), usually a hypovascularized tumor, conventional CT imaging can be prone to errors in determining tumor extent and presence of metastatic disease. Dual-layer spectral detector CT (SDCT) is an emerging technique for acquiring spectral information without the need for prospective patient selection or specific protocols, with a detector capable of differentiating high- and low-energy photons to acquire full spectral images. In this review, we present the diagnostic benefits and capabilities of modern SDCT imaging with a focus on PDAC. We highlight the most useful virtual reconstructions in oncologic imaging and their benefits in staging and assessment of resectability in PDAC, including the assessment of tumor extent, vascular infiltration, and metastatic disease. We present imaging examples on a latest-generation SDCT scanner.
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Affiliation(s)
| | | | - Hans-Jonas Meyer
- Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Leipzig, 04103 Leipzig, Germany; (C.E.)
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24
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Cano Alonso R, Álvarez Vázquez A, Andreu Vázquez C, Thuissard Vasallo IJ, Fernández Alfonso A, Recio Rodríguez M, Martínez de Vega V. Dual-energy CT in the differentiation between adrenal adenomas and metastases: Usefulness of material density maps and monochromatic images. RADIOLOGIA 2023; 65:402-413. [PMID: 37758331 DOI: 10.1016/j.rxeng.2021.10.006] [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: 07/24/2021] [Accepted: 10/15/2021] [Indexed: 10/03/2023]
Abstract
OBJECTIVE To evaluate the behavior of adrenal adenomas and metastases with dual-energy CT, analyzing the attenuation coefficient in monochromatic images at three different levels of energy (45, 70, and 140 keV) and the tissue concentrations of fat, water, and iodine in material density maps, with the aim of establishing optimal cutoffs for differentiating between these lesions and comparing our results against published evidence. MATERIALS AND METHODS This retrospective case-control study included oncologic patients diagnosed with adrenal metastases in the 6-12 months prior to the study who were followed up in our hospital between January and June 2020. For each case (patient with metastases) included in the study, we selected a control (patient with an adrenal adenoma) with a nodule of similar size. All patients were studied with a rapid-kilovoltage-switching dual-energy CT scanner, using a biphasic acquisition protocol. We analyzed the concentration of iodine in paired water-iodine images, the concentration of fat in the paired water-fat images, and the concentration of water in the paired iodine-water and fat-water images, in both the arterial and portal phases. We also analyzed the attenuation coefficient in monochromatic images (at 55, 70, and 140 keV) in the arterial and portal phases. RESULTS In the monochromatic images, in both the arterial and portal phases, the attenuation coefficient at all energy levels was significantly higher in the group of patients with metastases than in the group of patients with adenomas. This enabled us to calculate the optimal cutoffs for classifying lesions as adenomas or metastases, except for the arterial phase at 55 KeV, where the area under the receiver operating characteristic curve (AUC) for the estimated threshold (0.68) was not considered accurate enough to classify the lesions. For the arterial phase at 70 keV, the AUC was 0.76 (95% CI: 0.663‒0.899); the optimal cutoff (42.4 HU) yielded 92% sensitivity and 60% specificity. For the arterial phase at 140 keV, the AUC was 0.94 (95% CI: 0.894‒0.999); the optimal cutoff (18.9 HU) yielded 88% sensitivity and 94% specificity). For the portal phase at 55 keV, the AUC was 0.76 (95% CI: 0.663‒0.899); the optimal cutoff (95.4 HU) yielded 68% sensitivity and 84% specificity. For the portal phase at 70 keV, the AUC was 0.82 (95% CI: 0.757‒0.955); the optimal cutoff (58.4 HU) yielded 80% sensitivity and 84% specificity. For the portal phase at 140 keV, the AUC was 0.9 (95% CI: 0.834‒0.987); the optimal cutoff (16.35 HU) yielded 96% sensitivity and 84% specificity. In the material density maps, in the arterial phase, significant differences were found only for the iodine-water pair, where the concentration of water was higher in the group with metastases (1018.8 ± 7.6 mg/cm3 vs. 998.6 ± 8.0 mg/cm3 for the group with adenomas, p < 0.001). The AUC was 0.97 (95% CI: 0.893‒0.999); the optimal cutoff (1012.5 mg/cm3) yielded 88% sensitivity and 96% specificity. The iodine-water pair was also significantly higher in metastases (1019.7 ± 12.1 mg/cm3 vs. 998.5 ± 9.1 mg/cm3 in adenomas, p < 0.001). The AUC was 0.926 (95% CI: 0.807‒0.977); the optimal cutoff (1009.5 mg/cm3) yielded 92% sensitivity and 92% specificity. Although significant results were also observed for the fat-water pair in the portal phase, the AUC was insufficient to enable a sufficiently accurate cutoff for classifying the lesions. No significant differences were found in the fat-water maps or iodine-water maps in the arterial or portal phase or in the water-fat map in the arterial phase. CONCLUSIONS Monochromatic images show differences between the behavior of adrenal adenomas and metastases in oncologic patients studied with intravenous-contrast-enhanced CT, where the group of metastases had higher attenuation than the group of adenomas in both the arterial and portal phases; this pattern is in line with the evidence published for adenomas. Nevertheless, to our knowledge, no other publications report cutoffs for this kind of differentiation in contrast-enhanced monochromatic images obtained in rapid-kilovoltage-switching dual-energy CT scanners, and this is the first new contribution of our study. Regarding the material density maps, our results suggest that the water-iodine pair is a good tool for differentiating between adrenal adenomas and metastases, in both the arterial and portal phases. We propose cutoffs for differentiating these lesions, although to our knowledge no cutoffs have been proposed for portal-phase contrast-enhanced images obtained with rapid-kilovoltage-switching dual-energy CT scanners.
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Affiliation(s)
- R Cano Alonso
- Servicio de Diagnóstico por la Imagen, Hospital Universitario QuironSalud, Pozuelo de Alarcón, Madrid, Spain.
| | - A Álvarez Vázquez
- Servicio de Diagnóstico por la Imagen, Hospital Universitario QuironSalud, Pozuelo de Alarcón, Madrid, Spain
| | - C Andreu Vázquez
- Universidad Europea de Madrid, Facultad de Ciencias Biomédicas y de la Salud, Villaviciosa de Odón, Madrid, Spain
| | - I J Thuissard Vasallo
- Universidad Europea de Madrid, Facultad de Ciencias Biomédicas y de la Salud, Villaviciosa de Odón, Madrid, Spain
| | - A Fernández Alfonso
- Servicio de Diagnóstico por la Imagen, Hospital Universitario QuironSalud, Pozuelo de Alarcón, Madrid, Spain
| | - M Recio Rodríguez
- Servicio de Diagnóstico por la Imagen, Hospital Universitario QuironSalud, Pozuelo de Alarcón, Madrid, Spain
| | - V Martínez de Vega
- Servicio de Diagnóstico por la Imagen, Hospital Universitario QuironSalud, Pozuelo de Alarcón, Madrid, Spain
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Rajiah PS, Dunning CAS, Rajendran K, Tandon Y, Ahmed Z, Larson N, Collins JD, Thorne J, Williamson E, Fletcher JG, McCollough C, Leng S. High-Pitch Multienergy Coronary CT Angiography in Dual-Source Photon-Counting Detector CT Scanner at Low Iodinated Contrast Dose. Invest Radiol 2023; 58:681-690. [PMID: 36822655 PMCID: PMC10591289 DOI: 10.1097/rli.0000000000000961] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
OBJECTIVES The aim of this study was to evaluate the high-helical pitch, multienergy (ME) scanning mode of a clinical dual-source photon-counting detector (PCD) computed tomography (CT) and the benefit of virtual monoenergetic images (VMIs) for low-contrast-dose coronary CT angiography (CTA). MATERIALS AND METHODS High-pitch (3.2) ME coronary CTA was performed in PCD-CT in 27 patients using low contrast dose (30 mL of iohexol 350 mg/mL) and in 26 patients at routine contrast dose (60 mL). Low-energy-threshold 120 kV images (also known as T3D images) and 50 kiloelectron volts (50 keV) and 100 kiloelectron volts (100 keV) VMIs were reconstructed using a 1024 × 1024 matrix and 0.6-mm slices. The CT numbers, noise, and contrast-to-noise ratio (CNR) were measured in the ascending aorta (AA), left main coronary artery (LMCA), and distal left anterior descending (LAD) artery. Confidence in grading luminal stenosis with calcific plaque, noncalcific plaque, and stent was evaluated by 2 independent readers on a 0-100 scale (0 the lowest), and a CAD-RADS score was assigned. Image contrast enhancement, sharpness, noise, artifacts, and overall image quality were rated using a 5-point ordinal scale (1 the lowest). RESULTS The radiation doses (CTDI) in low- and routine-contrast cohorts were 2.5 ± 0.6 mGy and 3.1 ± 1.7 mGy, respectively ( P = 0.12). At all measured locations, the mean CT number was >300 HU in 120 kV (LMCA 382.9 ± 76.2, distal LAD 341.0 ± 53.9, AA 399.5 ± 76.1) and 50 keV images (LMCA 667.5 ± 139.9, distal LAD 578.1 ± 121.5, AA 700.8 ± 142.5) in the low-contrast cohort, with a 96% increase in CT numbers for 50 keV over 120 kV. The CT numbers were significantly higher ( P < 0.0001) in 50 keV than 120 kV and 100 keV VMI. The CNR was also significantly ( P < 0.0001) higher in 50 keV than 120 kV and 100 keV images in all vessels. Confidence in the assessment of luminal stenosis in the presence of calcific plaque was significantly higher ( P = 0.001) with the addition of 100 keV VMI (median score, 100) than using 50 keV alone (median score, 70) and 120 kV (median score, 70) for reader 1, but no significant differences were seen for reader 2 who had same median scores of 100 for all image types. The confidence in the assessment of luminal stenosis within a stent improved with the use of 100 keV images for both readers (reader 1: median scores for 50 + 100 keV = 100, 50 keV = 82.5, 120 kV = 82.5; reader 2: 50 + 100 keV = 100, 50 keV = 90, 120 kV = 90). There were no significant differences in confidence scores for assessment of luminal stenosis from noncalcific plaques for both readers. The reader-averaged qualitative scores for vascular enhancement and overall image quality were significantly higher for 50 keV VMI than for 120 kV images in both low- and routine-contrast dose cohorts. The image sharpness was nonsignificantly higher at 50 keV VMI than 120 kV images, and the artifact score was comparable for 50 keV VMI and 120 kV images. The noise was higher in 50 keV VMI than in 120 kV images. CONCLUSIONS High-pitch ME PCD-CT mode produced diagnostic quality coronary CTA images at low radiation and iodinated contrast doses. The availability of ME VMIs significantly improved the CNR, overall image quality, and confidence in assessment of luminal stenosis in the presence of calcific plaques and stents, and resulted in change of CAD-RADS categories in 9 patients.
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Affiliation(s)
| | - Chelsea A. S. Dunning
- Department of Radiology, Mayo Clinic, 200 First St SW Rochester, MN, United States 55905
| | - Kishore Rajendran
- Department of Radiology, Mayo Clinic, 200 First St SW Rochester, MN, United States 55905
| | - Yasmeen Tandon
- Department of Radiology, Mayo Clinic, 200 First St SW Rochester, MN, United States 55905
| | - Zaki Ahmed
- Department of Radiology, Mayo Clinic, 200 First St SW Rochester, MN, United States 55905
| | - Nicholas Larson
- Department of Radiology, Mayo Clinic, 200 First St SW Rochester, MN, United States 55905
| | - Jeremy D. Collins
- Department of Radiology, Mayo Clinic, 200 First St SW Rochester, MN, United States 55905
| | - Jamison Thorne
- Department of Radiology, Mayo Clinic, 200 First St SW Rochester, MN, United States 55905
| | - Eric Williamson
- Department of Radiology, Mayo Clinic, 200 First St SW Rochester, MN, United States 55905
| | - Joel G. Fletcher
- Department of Radiology, Mayo Clinic, 200 First St SW Rochester, MN, United States 55905
| | - Cynthia McCollough
- Department of Radiology, Mayo Clinic, 200 First St SW Rochester, MN, United States 55905
| | - Shuai Leng
- Department of Radiology, Mayo Clinic, 200 First St SW Rochester, MN, United States 55905
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Meloni A, Cademartiri F, Positano V, Celi S, Berti S, Clemente A, La Grutta L, Saba L, Bossone E, Cavaliere C, Punzo B, Maffei E. Cardiovascular Applications of Photon-Counting CT Technology: A Revolutionary New Diagnostic Step. J Cardiovasc Dev Dis 2023; 10:363. [PMID: 37754792 PMCID: PMC10531582 DOI: 10.3390/jcdd10090363] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 08/16/2023] [Accepted: 08/18/2023] [Indexed: 09/28/2023] Open
Abstract
Photon-counting computed tomography (PCCT) is an emerging technology that can potentially transform clinical CT imaging. After a brief description of the PCCT technology, this review summarizes its main advantages over conventional CT: improved spatial resolution, improved signal and contrast behavior, reduced electronic noise and artifacts, decreased radiation dose, and multi-energy capability with improved material discrimination. Moreover, by providing an overview of the existing literature, this review highlights how the PCCT benefits have been harnessed to enhance and broaden the diagnostic capabilities of CT for cardiovascular applications, including the detection of coronary artery calcifications, evaluation of coronary plaque extent and composition, evaluation of coronary stents, and assessment of myocardial tissue characteristics and perfusion.
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Affiliation(s)
- Antonella Meloni
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
- Unità Operativa Complessa di Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
| | - Vicenzo Positano
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
- Unità Operativa Complessa di Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | - Simona Celi
- BioCardioLab, Fondazione G. Monasterio CNR-Regione Toscana, 54100 Massa, Italy;
| | - Sergio Berti
- Diagnostic and Interventional Cardiology Department, Fondazione G. Monasterio CNR-Regione Toscana, 54100 Massa, Italy;
| | - Alberto Clemente
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
| | - Ludovico La Grutta
- Department of Radiology, University Hospital “P. Giaccone”, 90127 Palermo, Italy;
| | - Luca Saba
- Department of Radiology, University Hospital of Cagliari, 09042 Monserrato, CA, Italy;
| | - Eduardo Bossone
- Department of Cardiology, Ospedale Cardarelli, 80131 Naples, Italy;
| | - Carlo Cavaliere
- Department of Radiology, Istituto di Ricerca e Cura a Carattere Scientifico SynLab-SDN, 80131 Naples, Italy; (C.C.); (B.P.)
| | - Bruna Punzo
- Department of Radiology, Istituto di Ricerca e Cura a Carattere Scientifico SynLab-SDN, 80131 Naples, Italy; (C.C.); (B.P.)
| | - Erica Maffei
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
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27
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Ozawa Y, Ohno Y, Nagata H, Tamokami K, Nishikimi K, Oshima Y, Hamabuchi N, Matsuyama T, Ueda T, Toyama H. Advances for Pulmonary Functional Imaging: Dual-Energy Computed Tomography for Pulmonary Functional Imaging. Diagnostics (Basel) 2023; 13:2295. [PMID: 37443688 DOI: 10.3390/diagnostics13132295] [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: 07/01/2023] [Accepted: 07/04/2023] [Indexed: 07/15/2023] Open
Abstract
Dual-energy computed tomography (DECT) can improve the differentiation of material by using two different X-ray energy spectra, and may provide new imaging techniques to diagnostic radiology to overcome the limitations of conventional CT in characterizing tissue. Some techniques have used dual-energy imaging, which mainly includes dual-sourced, rapid kVp switching, dual-layer detectors, and split-filter imaging. In iodine images, images of the lung's perfused blood volume (PBV) based on DECT have been applied in patients with pulmonary embolism to obtain both images of the PE occluding the pulmonary artery and the consequent perfusion defects in the lung's parenchyma. PBV images of the lung also have the potential to indicate the severity of PE, including chronic thromboembolic pulmonary hypertension. Virtual monochromatic imaging can improve the accuracy of diagnosing pulmonary vascular diseases by optimizing kiloelectronvolt settings for various purposes. Iodine images also could provide a new approach in the area of thoracic oncology, for example, for the characterization of pulmonary nodules and mediastinal lymph nodes. DECT-based lung ventilation imaging is also available with noble gases with high atomic numbers, such as xenon, which is similar to iodine. A ventilation map of the lung can be used to image various pulmonary diseases such as chronic obstructive pulmonary disease.
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Affiliation(s)
- Yoshiyuki Ozawa
- Department of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
| | - Yoshiharu Ohno
- Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
- Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
| | - Hiroyuki Nagata
- Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
| | - Keigo Tamokami
- Department of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
| | - Keitaro Nishikimi
- Department of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
| | - Yuka Oshima
- Department of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
| | - Nayu Hamabuchi
- Department of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
| | - Takahiro Matsuyama
- Department of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
| | - Takahiro Ueda
- Department of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
| | - Hiroshi Toyama
- Department of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan
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28
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Chung R, Garratt J, Remer EM, Navin P, Blake MA, Taffel MT, Hackett CE, Sharbidre KG, Tu W, Low G, Bara M, Carney BW, Corwin MT, Campbell MJ, Lee JT, Lee CY, Dueber JC, Shehata MA, Caoili EM, Schieda N, Elsayes KM. Adrenal Neoplasms: Lessons from Adrenal Multidisciplinary Tumor Boards. Radiographics 2023; 43:e220191. [PMID: 37347698 DOI: 10.1148/rg.220191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/24/2023]
Abstract
The radiologic diagnosis of adrenal disease can be challenging in settings of atypical presentations, mimics of benign and malignant adrenal masses, and rare adrenal anomalies. Misdiagnosis may lead to suboptimal management and adverse outcomes. Adrenal adenoma is the most common benign adrenal tumor that arises from the cortex, whereas adrenocortical carcinoma (ACC) is a rare malignant tumor of the cortex. Adrenal cyst and myelolipoma are other benign adrenal lesions and are characterized by their fluid and fat content, respectively. Pheochromocytoma is a rare neuroendocrine tumor of the adrenal medulla. Metastases to the adrenal glands are the most common malignant adrenal tumors. While many of these masses have classic imaging appearances, considerable overlap exists between benign and malignant lesions and can pose a diagnostic challenge. Atypical adrenal adenomas include those that are lipid poor; contain macroscopic fat, hemorrhage, and/or iron; are heterogeneous and/or large; and demonstrate growth. Heterogeneous adrenal adenomas may mimic ACC, metastasis, or pheochromocytoma, particularly when they are 4 cm or larger, whereas smaller versions of ACC, metastasis, and pheochromocytoma and those with washout greater than 60% may mimic adenoma. Because of its nonenhanced CT attenuation of less than or equal to 10 HU, a lipid-rich adrenal adenoma may be mimicked by a benign adrenal cyst, or it may be mimicked by a tumor with central cystic and/or necrotic change such as ACC, pheochromocytoma, or metastasis. Rare adrenal tumors such as hemangioma, ganglioneuroma, and oncocytoma also may mimic adrenal adenoma, ACC, metastasis, and pheochromocytoma. The authors describe cases of adrenal neoplasms that they have encountered in clinical practice and presented to adrenal multidisciplinary tumor boards. Key lessons to aid in diagnosis and further guide appropriate management are provided. © RSNA, 2023 Online supplemental material is available for this article. Quiz questions for this article are available through the Online Learning Center.
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Affiliation(s)
- Ryan Chung
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - Joanie Garratt
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - Erick M Remer
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - Patrick Navin
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - Michael A Blake
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - Myles T Taffel
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - Caitlin E Hackett
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - Kedar G Sharbidre
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - Wendy Tu
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - Gavin Low
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - Meredith Bara
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - Benjamin W Carney
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - Michael T Corwin
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - Michael J Campbell
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - James T Lee
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - Cortney Y Lee
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - Julie C Dueber
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - Mostafa A Shehata
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - Elaine M Caoili
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - Nicola Schieda
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
| | - Khaled M Elsayes
- From the Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, Boston, MA (R.C., M.A.B.); Department of Radiology, Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, PA (J.G.); Department of Radiology, Imaging Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH (E.M.R.); Department of Radiology, Mayo Clinic, Rochester, MN (P.N.); Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, NYU Langone Health, New York, NY (M.T.T.); Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH (C.E.H.); Department of Radiology, University of Alabama, Birmingham, AL (K.G.S.); Department of Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (W.T., G.L., M.B.); Departments of Radiology (B.W.C., M.T.C.) and Surgery (M.J.C.), UC Davis Medical Center, Sacramento, CA; Department of Radiology (J.T.L.), Department of General Surgery (C.Y.L.), and Department of Pathology and Laboratory Medicine (J.C.D.), University of Kentucky, Lexington, KY; Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (M.A.S., K.M.E.); Department of Radiology, University of Michigan, Ann Arbor, MI (E.M.C.); and Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.)
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Jost G, McDermott M, Gutjahr R, Nowak T, Schmidt B, Pietsch H. New Contrast Media for K-Edge Imaging With Photon-Counting Detector CT. Invest Radiol 2023; 58:515-522. [PMID: 37068840 PMCID: PMC10259215 DOI: 10.1097/rli.0000000000000978] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 03/01/2023] [Indexed: 04/19/2023]
Abstract
ABSTRACT The recent technological developments in photon-counting detector computed tomography (PCD-CT) and the introduction of the first commercially available clinical PCD-CT unit open up new exciting opportunities for contrast media research. With PCD-CT, the efficacy of available iodine-based contrast media improves, allowing for a reduction of iodine dosage or, on the other hand, an improvement of image quality in low contrast indications. Virtual monoenergetic image reconstructions are routinely available and enable the virtual monoenergetic image energy to be adapted to the diagnostic task.A key property of PCD-CT is the ability of spectral separation in combination with improved material decomposition. Thus, the discrimination of contrast media from intrinsic or pathological tissues and the discrimination of 2 or more contrasting elements that characterize different tissues are attractive fields for contrast media research. For these approaches, K-edge imaging in combination with high atomic number elements such as the lanthanides, tungsten, tantalum, or bismuth plays a central role.The purpose of this article is to present an overview of innovative contrast media concepts that use high atomic number elements. The emphasis is on improving contrast enhancement for cardiovascular plaque imaging, stent visualization, and exploring new approaches using 2 contrasting elements. Along with the published research, new experimental findings with a contrast medium that incorporates tungsten are included.Both the literature review and the new experimental data demonstrate the great potential and feasibility for new contrast media to significantly increase diagnostic performance and to enable new clinical fields and indications in combination with PCD-CT.
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Affiliation(s)
- Gregor Jost
- From the MR and CT Contrast Media Research, Bayer AG, Berlin, Germany
| | - Michael McDermott
- From the MR and CT Contrast Media Research, Bayer AG, Berlin, Germany
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Ralf Gutjahr
- Computed Tomography, Siemens Healthineers, Forchheim, Germany
| | - Tristan Nowak
- Computed Tomography, Siemens Healthineers, Forchheim, Germany
| | | | - Hubertus Pietsch
- From the MR and CT Contrast Media Research, Bayer AG, Berlin, Germany
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Mergen V, Ghouse S, Sartoretti T, Manka R, Euler A, Kasel AM, Alkadhi H, Eberhard M. Cardiac Virtual Noncontrast Images for Calcium Quantification with Photon-counting Detector CT. Radiol Cardiothorac Imaging 2023; 5:e220307. [PMID: 37404795 PMCID: PMC10316300 DOI: 10.1148/ryct.220307] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 03/29/2023] [Accepted: 05/08/2023] [Indexed: 07/06/2023]
Abstract
Purpose To assess the accuracy of aortic valve calcium (AVC), mitral annular calcium (MAC), and coronary artery calcium (CAC) quantification and risk stratification using virtual noncontrast (VNC) images from late enhancement photon-counting detector CT as compared with true noncontrast images. Materials and Methods This retrospective, institutional review board-approved study evaluated patients undergoing photon-counting detector CT between January and September 2022. VNC images were reconstructed from late enhancement cardiac scans at 60, 70, 80, and 90 keV using quantum iterative reconstruction (QIR) strengths of 2-4. AVC, MAC, and CAC were quantified on VNC images and compared with quantification of AVC, MAC, and CAC on true noncontrast images using Bland-Altman analyses, regression models, intraclass correlation coefficients (ICC), and Wilcoxon tests. Agreement between severe aortic stenosis likelihood categories and CAC risk categories determined from VNC and true noncontrast images was assessed by weighted κ analysis. Results Ninety patients were included (mean age, 80 years ± 8 [SD]; 49 male patients). Scores were similar on true noncontrast images and VNC images at 80 keV for AVC and MAC, regardless of QIR strengths, and VNC images at 70 keV with QIR 4 for CAC (all P > .05). The best results were achieved using VNC images at 80 keV with QIR 4 for AVC (mean difference, 3; ICC = 0.992; r = 0.98) and MAC (mean difference, 6; ICC = 0.998; r = 0.99), and VNC images at 70 keV with QIR 4 for CAC (mean difference, 28; ICC = 0.996; r = 0.99). Agreement between calcification categories was excellent on VNC images at 80 keV for AVC (κ = 0.974) and on VNC images at 70 keV for CAC (κ = 0.967). Conclusion VNC images from cardiac photon-counting detector CT enables patient risk stratification and accurate quantification of AVC, MAC, and CAC.Keywords: Coronary Arteries, Aortic Valve, Mitral Valve, Aortic Stenosis, Calcifications, Photon-counting Detector CT Supplemental material is available for this article © RSNA, 2023.
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Cademartiri F, Meloni A, Pistoia L, Degiorgi G, Clemente A, Gori CD, Positano V, Celi S, Berti S, Emdin M, Panetta D, Menichetti L, Punzo B, Cavaliere C, Bossone E, Saba L, Cau R, Grutta LL, Maffei E. Dual-Source Photon-Counting Computed Tomography-Part I: Clinical Overview of Cardiac CT and Coronary CT Angiography Applications. J Clin Med 2023; 12:jcm12113627. [PMID: 37297822 DOI: 10.3390/jcm12113627] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/15/2023] [Accepted: 05/17/2023] [Indexed: 06/12/2023] Open
Abstract
The photon-counting detector (PCD) is a new computed tomography detector technology (photon-counting computed tomography, PCCT) that provides substantial benefits for cardiac and coronary artery imaging. Compared with conventional CT, PCCT has multi-energy capability, increased spatial resolution and soft tissue contrast with near-null electronic noise, reduced radiation exposure, and optimization of the use of contrast agents. This new technology promises to overcome several limitations of traditional cardiac and coronary CT angiography (CCT/CCTA) including reduction in blooming artifacts in heavy calcified coronary plaques or beam-hardening artifacts in patients with coronary stents, and a more precise assessment of the degree of stenosis and plaque characteristic thanks to its better spatial resolution. Another potential application of PCCT is the use of a double-contrast agent to characterize myocardial tissue. In this current overview of the existing PCCT literature, we describe the strengths, limitations, recent applications, and promising developments of employing PCCT technology in CCT.
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Affiliation(s)
| | - Antonella Meloni
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
- Department of Bioengineering, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Giulia Degiorgi
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Alberto Clemente
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Carmelo De Gori
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Vincenzo Positano
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
- Department of Bioengineering, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Simona Celi
- BioCardioLab, Department of Bioengineering, Fondazione Monasterio/CNR, 54100 Massa, Italy
| | - Sergio Berti
- Cardiology Unit, Ospedale del Cuore, Fondazione Monasterio/CNR, 54100 Massa, Italy
| | - Michele Emdin
- Department of Cardiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Daniele Panetta
- Institute of Clinical Physiology, National Council of Research, 56124 Pisa, Italy
| | - Luca Menichetti
- Institute of Clinical Physiology, National Council of Research, 56124 Pisa, Italy
| | - Bruna Punzo
- Department of Radiology, IRCCS SynLab-SDN, 80131 Naples, Italy
| | - Carlo Cavaliere
- Department of Radiology, IRCCS SynLab-SDN, 80131 Naples, Italy
| | - Eduardo Bossone
- Department of Cardiology, Ospedale Cardarelli, 80131 Naples, Italy
| | - Luca Saba
- Department of Radiology, University Hospital, 09042 Monserrato, Italy
| | - Riccardo Cau
- Department of Radiology, University Hospital, 09042 Monserrato, Italy
| | - Ludovico La Grutta
- Department of Radiology, University Hospital "P. Giaccone", 90127 Palermo, Italy
| | - Erica Maffei
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
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Cademartiri F, Meloni A, Pistoia L, Degiorgi G, Clemente A, De Gori C, Positano V, Celi S, Berti S, Emdin M, Panetta D, Menichetti L, Punzo B, Cavaliere C, Bossone E, Saba L, Cau R, Grutta LL, Maffei E. Dual Source Photon-Counting Computed Tomography-Part II: Clinical Overview of Neurovascular Applications. J Clin Med 2023; 12:jcm12113626. [PMID: 37297821 DOI: 10.3390/jcm12113626] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/15/2023] [Accepted: 05/18/2023] [Indexed: 06/12/2023] Open
Abstract
Photon-counting detector (PCD) is a novel computed tomography detector technology (photon-counting computed tomography-PCCT) that presents many advantages in the neurovascular field, such as increased spatial resolution, reduced radiation exposure, and optimization of the use of contrast agents and material decomposition. In this overview of the existing literature on PCCT, we describe the physical principles, the advantages and the disadvantages of conventional energy integrating detectors and PCDs, and finally, we discuss the applications of the PCD, focusing specifically on its implementation in the neurovascular field.
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Affiliation(s)
| | - Antonella Meloni
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
- Department of Bioengineering, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Laura Pistoia
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Giulia Degiorgi
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Alberto Clemente
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Carmelo De Gori
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Vincenzo Positano
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
- Department of Bioengineering, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Simona Celi
- BioCardioLab, Department of Bioengineering, Fondazione Monasterio/CNR, 54100 Massa, Italy
| | - Sergio Berti
- Cardiology Unit, Ospedale del Cuore, Fondazione Monasterio/CNR, 54100 Massa, Italy
| | - Michele Emdin
- Department of Cardiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
| | - Daniele Panetta
- Institute of Clinical Physiology, National Council of Research, 56124 Pisa, Italy
| | - Luca Menichetti
- Institute of Clinical Physiology, National Council of Research, 56124 Pisa, Italy
| | - Bruna Punzo
- Department of Radiology, IRCCS SynLab-SDN, 80131 Naples, Italy
| | - Carlo Cavaliere
- Department of Radiology, IRCCS SynLab-SDN, 80131 Naples, Italy
| | - Eduardo Bossone
- Department of Cardiology, Ospedale Cardarelli, 80131 Naples, Italy
| | - Luca Saba
- Department of Radiology, University Hospital, 09042 Monserrato, Italy
| | - Riccardo Cau
- Department of Radiology, University Hospital, 09042 Monserrato, Italy
| | - Ludovico La Grutta
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties-ProMISE, Department of Radiology, University Hospital "P. Giaccone", 90127 Palermo, Italy
| | - Erica Maffei
- Department of Radiology, Fondazione Monasterio/CNR, 56124 Pisa, Italy
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Franco PN, Spasiano CM, Maino C, De Ponti E, Ragusi M, Giandola T, Terrani S, Peroni M, Corso R, Ippolito D. Principles and Applications of Dual-Layer Spectral CT in Gastrointestinal Imaging. Diagnostics (Basel) 2023; 13:diagnostics13101740. [PMID: 37238224 DOI: 10.3390/diagnostics13101740] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 05/12/2023] [Indexed: 05/28/2023] Open
Abstract
The advance in technology allows for the development of different CT scanners in the field of dual-energy computed tomography (DECT). In particular, a recently developed detector-based technology can collect data from different energy levels, thanks to its layers. The use of this system is suited for material decomposition with perfect spatial and temporal registration. Thanks to post-processing techniques, these scanners can generate conventional, material decomposition (including virtual non-contrast (VNC), iodine maps, Z-effective imaging, and uric acid pair images) and virtual monoenergetic images (VMIs). In recent years, different studies have been published regarding the use of DECT in clinical practice. On these bases, considering that different papers have been published using the DECT technology, a review regarding its clinical application can be useful. We focused on the usefulness of DECT technology in gastrointestinal imaging, where DECT plays an important role.
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Affiliation(s)
- Paolo Niccolò Franco
- Department of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
| | - Chiara Maria Spasiano
- Department of Diagnostic Radiology, Istituti Clinici Zucchi, Via Zucchi 24, 20900 Monza, Italy
| | - Cesare Maino
- Department of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
| | - Elena De Ponti
- Department of Medical Physics, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
| | - Maria Ragusi
- Department of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
| | - Teresa Giandola
- Department of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
| | | | - Marta Peroni
- Philips Healtcare, Viale Sarca 54, 20126 Milano, Italy
| | - Rocco Corso
- Department of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
| | - Davide Ippolito
- Department of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy
- School of Medicine, Università Milano-Bicocca, Piazza dell'Ateneo Nuovo, 1, 20100 Milano, Italy
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Huflage H, Kunz AS, Hendel R, Kraft J, Weick S, Razinskas G, Sauer ST, Pennig L, Bley TA, Grunz JP. Obesity-Related Pitfalls of Virtual versus True Non-Contrast Imaging-An Intraindividual Comparison in 253 Oncologic Patients. Diagnostics (Basel) 2023; 13:diagnostics13091558. [PMID: 37174949 PMCID: PMC10177533 DOI: 10.3390/diagnostics13091558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 04/17/2023] [Accepted: 04/24/2023] [Indexed: 05/15/2023] Open
Abstract
OBJECTIVES Dual-source dual-energy CT (DECT) facilitates reconstruction of virtual non-contrast images from contrast-enhanced scans within a limited field of view. This study evaluates the replacement of true non-contrast acquisition with virtual non-contrast reconstructions and investigates the limitations of dual-source DECT in obese patients. MATERIALS AND METHODS A total of 253 oncologic patients (153 women; age 64.5 ± 16.2 years; BMI 26.6 ± 5.1 kg/m2) received both multi-phase single-energy CT (SECT) and DECT in sequential staging examinations with a third-generation dual-source scanner. Patients were allocated to one of three BMI clusters: non-obese: <25 kg/m2 (n = 110), pre-obese: 25-29.9 kg/m2 (n = 73), and obese: >30 kg/m2 (n = 70). Radiation dose and image quality were compared for each scan. DECT examinations were evaluated regarding liver coverage within the dual-energy field of view. RESULTS While arterial contrast phases in DECT were associated with a higher CTDIvol than in SECT (11.1 vs. 8.1 mGy; p < 0.001), replacement of true with virtual non-contrast imaging resulted in a considerably lower overall dose-length product (312.6 vs. 475.3 mGy·cm; p < 0.001). The proportion of DLP variance predictable from patient BMI was substantial in DECT (R2 = 0.738) and SECT (R2 = 0.620); however, DLP of SECT showed a stronger increase in obese patients (p < 0.001). Incomplete coverage of the liver within the dual-energy field of view was most common in the obese subgroup (17.1%) compared with non-obese (0%) and pre-obese patients (4.1%). CONCLUSION DECT facilitates a 30.8% dose reduction over SECT in abdominal oncologic staging examinations. Employing dual-source scanner architecture, the risk for incomplete liver coverage increases in obese patients.
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Affiliation(s)
- Henner Huflage
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, 97080 Würzburg, Germany
| | - Andreas Steven Kunz
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, 97080 Würzburg, Germany
| | - Robin Hendel
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, 97080 Würzburg, Germany
| | - Johannes Kraft
- Department of Radiation Oncology, University Hospital Würzburg, 97080 Würzburg, Germany
| | - Stefan Weick
- Department of Radiation Oncology, University Hospital Würzburg, 97080 Würzburg, Germany
| | - Gary Razinskas
- Department of Radiation Oncology, University Hospital Würzburg, 97080 Würzburg, Germany
| | - Stephanie Tina Sauer
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, 97080 Würzburg, Germany
| | - Lenhard Pennig
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine, University Hospital Cologne, 50931 Cologne, Germany
| | - Thorsten Alexander Bley
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, 97080 Würzburg, Germany
| | - Jan-Peter Grunz
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, 97080 Würzburg, Germany
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Cigarrán Sexto H, Calvo Blanco J, Fernández Suárez G. Spectral CT in Emergency. RADIOLOGIA 2023; 65 Suppl 1:S109-S119. [PMID: 37024225 DOI: 10.1016/j.rxeng.2022.11.002] [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: 06/29/2022] [Accepted: 11/09/2022] [Indexed: 04/08/2023]
Abstract
Spectral CT technology is based on the acquisition of CT images with X-ray at 2 different energy levels which makes possible to distinguish between materials with different atomic numbers using their energy-dependent attenuation, even if those materials have similar density at conventional CT. This kind of technology has gained wide application due to the innumerable uses of their post-processing techniques, including virtual non-contrast images, iodine maps, virtual mono-chromatic images or mixed images without increasing radiation dose. There are several applications of spectral CT in Emergency Radiology that help in the detection, diagnosis and management of various pathologies such as differentiate haemorrhage from the underlaying causative lesion, diagnosis of pulmonary embolisms, demarcation of abscess, characterization of renal stones or reduction of artifacts. The purpose of this review is to provide the emergency radiologist a brief description of the main indications for spectral CT.
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Agostini A, Borgheresi A, Mariotti F, Ottaviani L, Carotti M, Valenti M, Giovagnoni A. New frontiers in oncological imaging with Computed Tomography: from morphology to function. Semin Ultrasound CT MR 2023; 44:214-227. [DOI: 10.1053/j.sult.2023.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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Sartoretti T, Wildberger JE, Flohr T, Alkadhi H. Photon-counting detector CT: early clinical experience review. Br J Radiol 2023:20220544. [PMID: 36744809 DOI: 10.1259/bjr.20220544] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Since its development in the 1970s, X-ray CT has emerged as a landmark diagnostic imaging modality of modern medicine. Technological advances have been crucial to the success of CT imaging, as they have increasingly enabled improvements in image quality and diagnostic value at increasing radiation dose efficiency. With recent advances in engineering and physics, a novel technology has emerged with the potential to surpass several shortcomings and limitations of current CT systems. Photon-counting detector (PCD)-CT might substantially improve and expand the applicability of CT imaging by offering intrinsic spectral capabilities, increased spatial resolution, reduced electronic noise and improved image contrast. In this review we sought to summarize the first clinical experience of PCD-CT. We focused on most recent prototype and first clinically approved PCD-CT systems thereby reviewing initial publications and presenting corresponding clinical cases.
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Affiliation(s)
- Thomas Sartoretti
- Diagnostic and Interventional Radiology, University Hospital Zürich, University of Zürich, Zürich, Switzerland.,Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.,Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Joachim E Wildberger
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.,Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Thomas Flohr
- Siemens Healthcare GmbH, Computed Tomography, Forchheim, Germany
| | - Hatem Alkadhi
- Diagnostic and Interventional Radiology, University Hospital Zürich, University of Zürich, Zürich, Switzerland
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Saba L, Loewe C, Weikert T, Williams MC, Galea N, Budde RPJ, Vliegenthart R, Velthuis BK, Francone M, Bremerich J, Natale L, Nikolaou K, Dacher JN, Peebles C, Caobelli F, Redheuil A, Dewey M, Kreitner KF, Salgado R. State-of-the-art CT and MR imaging and assessment of atherosclerotic carotid artery disease: standardization of scanning protocols and measurements-a consensus document by the European Society of Cardiovascular Radiology (ESCR). Eur Radiol 2023; 33:1063-1087. [PMID: 36194267 PMCID: PMC9889495 DOI: 10.1007/s00330-022-09024-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 06/26/2022] [Accepted: 06/30/2022] [Indexed: 02/04/2023]
Abstract
The European Society of Cardiovascular Radiology (ESCR) is the European specialist society of cardiac and vascular imaging. This society's highest priority is the continuous improvement, development, and standardization of education, training, and best medical practice, based on experience and evidence. The present intra-society consensus is based on the existing scientific evidence and on the individual experience of the members of the ESCR writing group on carotid diseases, the members of the ESCR guidelines committee, and the members of the executive committee of the ESCR. The recommendations published herein reflect the evidence-based society opinion of ESCR. We have produced a twin-papers consensus, indicated through the documents as respectively "Part I" and "Part II." The first document (Part I) begins with a discussion of features, role, indications, and evidence for CT and MR imaging-based diagnosis of carotid artery disease for risk stratification and prediction of stroke (Section I). It then provides an extensive overview and insight into imaging-derived biomarkers and their potential use in risk stratification (Section II). Finally, detailed recommendations about optimized imaging technique and imaging strategies are summarized (Section III). The second part of this consensus paper (Part II) is focused on structured reporting of carotid imaging studies with CT/MR. KEY POINTS: • CT and MR imaging-based evaluation of carotid artery disease provides essential information for risk stratification and prediction of stroke. • Imaging-derived biomarkers and their potential use in risk stratification are evolving; their correct interpretation and use in clinical practice must be well-understood. • A correct imaging strategy and scan protocol will produce the best possible results for disease evaluation.
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Affiliation(s)
- Luca Saba
- Department of Radiology, University of Cagliari, Cagliari, Italy
| | - Christian Loewe
- Division of Cardiovascular and Interventional Radiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Thomas Weikert
- Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Michelle C Williams
- BHF Centre for Cardiovascular Science, University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH164SB, UK
- Edinburgh Imaging Facility QMRI, University of Edinburgh, Edinburgh, UK
| | - Nicola Galea
- Policlinico Umberto I, Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Ricardo P J Budde
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Rozemarijn Vliegenthart
- Department of Radiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Birgitta K Velthuis
- Department of Radiology, Utrecht University Medical Center, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Marco Francone
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072, Milan, Italy
- IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Jens Bremerich
- Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Luigi Natale
- Department of Radiological Sciences - Institute of Radiology, Catholic University of Rome, "A. Gemelli" University Hospital, Rome, Italy
| | - Konstantin Nikolaou
- Department of Diagnostic and Interventional Radiology, University of Tuebingen, Tübingen, Germany
| | - Jean-Nicolas Dacher
- Department of Radiology, Normandie University, UNIROUEN, INSERM U1096 - Rouen University Hospital, F 76000, Rouen, France
| | - Charles Peebles
- Department of Cardiothoracic Radiology, University Hospital Southampton, Southampton, UK
| | - Federico Caobelli
- University Clinic of Nuclear Medicine Inselspital Bern, University of Bern, Bern, Switzerland
| | - Alban Redheuil
- Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
- Department of Cardiovascular and Thoracic, Imaging and Interventional Radiology, Institute of Cardiology, APHP, Pitié-Salpêtrière University Hospital, Paris, France
- Laboratoire d'Imagerie Biomédicale, Sorbonne Universités, UPMC Univ Paris 06, INSERM 1146, CNRS 7371, Paris, France
| | - Marc Dewey
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Karl-Friedrich Kreitner
- Department of Diagnostic and Interventional Radiology, University Medical Center, Mainz; Langenbeckstraße 1, 55131, Mainz, Germany
| | - Rodrigo Salgado
- Department of Radiology, Antwerp University Hospital & Antwerp University, Holy Heart Lier, Belgium.
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Jungblut L, Abel F, Nakhostin D, Mergen V, Sartoretti T, Euler A, Frauenfelder T, Martini K. Impact of photon counting detector CT derived virtual monoenergetic images and iodine maps on the diagnosis of pleural empyema. Diagn Interv Imaging 2023; 104:84-90. [PMID: 36216734 DOI: 10.1016/j.diii.2022.09.006] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 09/22/2022] [Accepted: 09/27/2022] [Indexed: 02/07/2023]
Abstract
PURPOSE The purpose of this study was to evaluate the impact of virtual monoenergetic image (VMI) energies and iodine maps on the diagnosis of pleural empyema with photon counting detector computed tomography (PCD-CT). MATERIALS AND METHODS In this IRB-approved retrospective study, consecutive patients with non-infectious pleural effusion or histopathology-proven empyema were included. PCD-CT examinations were performed on a dual-source PCD-CT in the multi-energy (QuantumPlus) mode at 120 kV with weight-adjusted intravenous contrast-agent. VMIs from 40-70 keV obtained in 10 keV intervals and an iodine map was reconstructed for each scan. CT attenuation was measured in the aorta, the pleura and the peripleural fat (between autochthonous dorsal muscles and dorsal ribs). Contrast-to-noise (CNR) and signal-to-noise (SNR) ratios were calculated. Two blinded radiologists evaluated if empyema was present (yes/no), and rated diagnostic confidence (1 to 4; not confident to fully confident, respectively) with and without using the iodine map. Sensitivity, specificity and diagnostic confidence were estimated. Interobserver agreement was estimated using an unweighted Cohen kappa test. A one-way ANOVA was used to compare variables. Differences in sensitivity and specificity between the different levels of energy were searched using McNemar test. RESULTS Sixty patients (median age, 60 years; 26 women) were included. A strong negative correlation was found between image noise and VMI energies (r = -0.98; P = 0.001) and CNR increased with lower VMI energies (r = -0.98; P = 0.002). Diagnostic accuracy (96%; 95% CI: 82-100) as well as diagnostic confidence (3.4 ± 0.75 [SD]) were highest at 40 keV. Diagnostic accuracy and confidence at higher VMI energies improved with the addition of iodine maps (P ≤0.001). Overall, no difference in CT attenuation of peripleural fat between patients with empyema and those with pleural effusion was found (P = 0.07). CONCLUSION Low VMI energies lead to a higher diagnostic accuracy and diagnostic confidence in the diagnosis of pleural empyema. Iodine maps help in diagnosing empyema only at high VMI energies.
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Affiliation(s)
- Lisa Jungblut
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100 CH-8091 Zurich, Switzerland
| | - Frederik Abel
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100 CH-8091 Zurich, Switzerland
| | - Dominik Nakhostin
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100 CH-8091 Zurich, Switzerland
| | - Viktor Mergen
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100 CH-8091 Zurich, Switzerland
| | - Thomas Sartoretti
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100 CH-8091 Zurich, Switzerland
| | - André Euler
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100 CH-8091 Zurich, Switzerland
| | - Thomas Frauenfelder
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100 CH-8091 Zurich, Switzerland
| | - Katharina Martini
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100 CH-8091 Zurich, Switzerland.
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Sauerbeck J, Adam G, Meyer M. Spectral CT in Oncology. ROFO-FORTSCHR RONTG 2023; 195:21-29. [PMID: 36167316 DOI: 10.1055/a-1902-9949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Spectral CT is gaining increasing clinical importance with multiple potential applications, including oncological imaging. Spectral CT-specific image data offers multiple advantages over conventional CT image data through various post-processing algorithms, which will be highlighted in the following review. METHODOLOGY The purpose of this review article is to provide an overview of potential useful oncologic applications of spectral CT and to highlight specific spectral CT pitfalls. The technical background, clinical advantages of primary and follow-up spectral CT exams in oncology, and the application of appropriate spectral tools will be highlighted. RESULTS/CONCLUSIONS Spectral CT imaging offers multiple advantages over conventional CT imaging, particularly in the field of oncology. The combination of virtual native and low monoenergetic images leads to improved detection and characterization of oncologic lesions. Iodine-map images may provide a potential imaging biomarker for assessing treatment response. KEY POINTS · The most important spectral CT reconstructions for oncology imaging are virtual unenhanced, iodine map, and virtual monochromatic reconstructions.. · The combination of virtual unenhanced and low monoenergetic reconstructions leads to better detection and characterization of the vascularization of solid tumors.. · Iodine maps can be a surrogate parameter for tumor perfusion and potentially used as a therapy monitoring parameter.. · For radiotherapy planning, the relative electron density and the effective atomic number of a tissue can be calculated.. CITATION FORMAT · Sauerbeck J, Adam G, Meyer M. Onkologische Bildgebung mittels Spektral-CT. Fortschr Röntgenstr 2023; 195: 21 - 29.
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Affiliation(s)
- Julia Sauerbeck
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, Hamburg, Germany
| | - Gerhard Adam
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, Hamburg, Germany
| | - Mathias Meyer
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, Hamburg, Germany
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Wu W, Fang X, Li J, Zhang A, Zou Y, Zheng X. Application of dual-source computed tomography in the diagnosis of thyroid cancer and evaluation of biological behaviors. JOURNAL OF CLINICAL ULTRASOUND : JCU 2023; 51:195-202. [PMID: 36539919 DOI: 10.1002/jcu.23413] [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: 09/23/2022] [Revised: 11/23/2022] [Accepted: 12/03/2022] [Indexed: 06/17/2023]
Abstract
OBJECTIVE Thyroid cancer (TC) is an extremely prevailing malignant endocrine tumor. Therefore, effective diagnostic tools are necessary. This study explored the application value of dual-source computed tomography (DSCT) in TC diagnosis and biological behavior assessment. METHODS This study retrospectively selected 68 TC patients and another 74 benign patients with thyroid adenoma, nodular goiter, or adenomatous hyperplasia. All patients were confirmed by pathological examination and underwent DSCT examination. The iodine concentration (IC) obtained from plain computed tomography (CT) scanning and normalized iodine concentration (NIC) in the arterial phase and venous phase were recorded. The positive expression rates of estrogen receptor alpha (ERα), estrogen receptors beta (ERβ), and Ki67 in pathological tissues were determined by immunohistochemistry, and their correlation with IC in plain CT was assessed by Pearson correlation analysis, respectively. The diagnostic values of IC in plain CT and venous phase NIC in TC patients were evaluated using the receiver operating characteristic curve. RESULTS Malignant patients had lower IC in plain DSCT scanning, venous phase NIC, and ERβ, and higher ERα and Ki67 than benign patients. IC level in plain DSCT scanning was inversely-correlated with ERα and Ki-67 positive expression rates, but positively-related to ERβ to different degrees. For the diagnosis of TC patients, the AUC of IC level in plain DSCT was 0.771, with a cut-off value of 1.250 (97.06% sensitivity and 41.89% specificity), and the AUC of venous phase NIC was 0.738, with a cut-off value of 0.825 (100% sensitivity and 43.24% specificity). CONCLUSION The IC level obtained from DSCT scanning could assist in the differential diagnosis of malignant and benign thyroid nodules and evaluation of biological behaviors.
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Affiliation(s)
- Wenhui Wu
- Department of Radiology, Dongguan People's Hospital, Dongguan, China
| | - Xuewen Fang
- Department of Radiology, Dongguan People's Hospital, Dongguan, China
| | - Jianming Li
- Department of Radiology, Dongguan People's Hospital, Dongguan, China
| | - An Zhang
- Department of Radiology, Dongguan People's Hospital, Dongguan, China
| | - Yujian Zou
- Department of Radiology, Dongguan People's Hospital, Dongguan, China
| | - Xiaolin Zheng
- Department of Radiology, Kanghua Hospital, Dongguan, China
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Cigarrán Sexto H, Calvo Blanco J, Fernández Suárez G. TC espectral en la urgencia. RADIOLOGIA 2022. [DOI: 10.1016/j.rx.2022.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Multivendor Comparison of Quantification Accuracy of Iodine Concentration and Attenuation Measurements by Dual-Energy CT: A Phantom Study. AJR Am J Roentgenol 2022; 219:827-839. [PMID: 35674353 DOI: 10.2214/ajr.22.27753] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND. Studies comparing accuracy of quantification by dual-energy CT (DECT) scanners have been limited by small numbers of scanners evaluated and narrow ranges of scanning conditions. OBJECTIVE. The purpose of this study was to compare DECT scanners of varying vendors, technologies, and generations in terms of the accuracy of iodine concentration and attenuation measurements. METHODS. A DECT quality-control phantom was designed to contain seven inserts of varying iodine concentrations as well as soft-tissue and fat inserts. The phantom underwent DECT using 12 different scanner configurations based on seven different DECT scanners from three vendors, with additional variation in tube voltage settings. Technologies included rapid-switching, dual-source, and dual-layer detector DECT. Scans also used three radiation dose levels (10, 20, and 30 mGy) and multiple reconstruction algorithms (filtered back projection, medium and high iterative reconstruction, and deep learning image reconstruction [DLIR]). The mean absolute percentage error (MAPE, representing the absolute ratio of measured error to nominal values on average; lower values indicate better accuracy) was calculated for iodine concentration on iodine maps (MAPEiodine) and attenuation on virtual monochromatic images (VMIs) using 40, 70, 100, and 140 keV (MAPEHU). Linear mixed models were used to explore factors affecting quantification accuracy. RESULTS. MAPEiodine and MAPEHU ranged 4.62-28.55% and 10.21-26.33%, respectively, across scanner configurations. Accuracies of iodine concentration and attenuation measurements were higher for third-generation rapid-switching and dual-source scanners in comparison with respective earlier-generation scanners and the single evaluated dual-layer detector scanner. Among all configurations, the third-generation rapid-switching scanner using DLIR had the highest quantification accuracy for iodine concentration (MAPEiodine, 4.62% ± 3.87%) and attenuation (MAPEHU, 10.21% ± 11.43%). Overall, MAPEiodine was significantly affected by scanner configuration (F = 450.0, p < .001) and iodine concentration (F = 211.0, p < .001). Overall, MAPEHU was significantly affected by scanner configuration (F = 233.5, p < .001), radiation dose (F = 14.9, p < .001), VMI energy level (F = 1959.4, p < .001), and material density (F = 411.5, p < .001); radiation dose was significantly associated with MAPEHU for five of 12 individual configurations. CONCLUSION. Quantification accuracy varied among DECT configurations of varying vendors, platforms, and generations and was affected by acquisition and reconstruction parameters. DLIR may improve quantification accuracy. CLINICAL IMPACT. The interscanner differences in DECT-based measurements should be recognized when quantitative evaluation is performed by DECT in clinical practice.
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Reducing Visceral-Motion-Related Artifacts on the Liver with Dual-Energy CT: A Comparison of Four Different CT Scanner Techniques. Diagnostics (Basel) 2022; 12:diagnostics12092155. [PMID: 36140556 PMCID: PMC9497818 DOI: 10.3390/diagnostics12092155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 08/28/2022] [Accepted: 09/01/2022] [Indexed: 11/17/2022] Open
Abstract
Purpose: To assess the influence of different dual-energy CT (DECT) scanner techniques on the severity of visceral-motion-related artifacts on the liver. Methods: Two independent readers retrospectively evaluated visceral-motion-related artifacts on the liver on 120-kVp(-like), monoenergetic low- and high-keV, virtual non-contrast (VNC), and iodine images acquired on a dual-source, twin-beam, fast kV-switching, and dual-layer spectral detector scanner. Quantitative assessment: Depth of artifact extension into the liver, measurements of Hounsfield Units (HU) and iodine concentrations. Qualitative assessment: Five-point Likert scale (1 = none to 5 = severe). Artifact severity between image reconstructions were compared by Wilcoxon signed-rank and paired t-tests. Results: 615 contrast-enhanced routine clinical DECT scans of the abdomen were evaluated in 458 consecutive patients (mean age: 61 ± 14 years, 331 men). For dual-source and twin-beam scanners, depth of extension of artifacts into the liver was significantly shorter and artifact severity scores significantly lower for 120-kVp-like images compared with the other image reconstructions (p < 0.001, each). For fast kV-switching and spectral detector scanner images, depth of extension of artifacts was significantly shorter and artifact severity scores significantly lower for iodine images (p < 0.001, each). Dual-source 120-kVp-like and spectral detector iodine images reduced artifacts to an extent that no significant difference in HU or iodine concentrations between artifacts (dual-source: 97 HU, spectral detector: 1.9 mg/mL) and unaffected liver parenchyma (dual-source: 108 HU, spectral detector: 2.1 mg/mL) was measurable (dual-source: p = 0.32, spectral detector: p = 0.15). Conclusion: Visceral-motion-related artifacts on the liver can be markedly reduced by viewing 120-kVp-like images for dual-source and twin-beam DECT scanners and iodine images for fast kV-switching and dual-layer spectral detector DECT scanners.
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Dell’Aversana S, Ascione R, De Giorgi M, De Lucia DR, Cuocolo R, Boccalatte M, Sibilio G, Napolitano G, Muscogiuri G, Sironi S, Di Costanzo G, Cavaglià E, Imbriaco M, Ponsiglione A. Dual-Energy CT of the Heart: A Review. J Imaging 2022; 8:jimaging8090236. [PMID: 36135402 PMCID: PMC9503750 DOI: 10.3390/jimaging8090236] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/09/2022] [Accepted: 08/30/2022] [Indexed: 11/26/2022] Open
Abstract
Dual-energy computed tomography (DECT) represents an emerging imaging technique which consists of the acquisition of two separate datasets utilizing two different X-ray spectra energies. Several cardiac DECT applications have been assessed, such as virtual monoenergetic images, virtual non-contrast reconstructions, and iodine myocardial perfusion maps, which are demonstrated to improve diagnostic accuracy and image quality while reducing both radiation and contrast media administration. This review will summarize the technical basis of DECT and review the principal cardiac applications currently adopted in clinical practice, exploring possible future applications.
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Affiliation(s)
- Serena Dell’Aversana
- Department of Radiology, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
- Correspondence:
| | - Raffaele Ascione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Marco De Giorgi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Davide Raffaele De Lucia
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Renato Cuocolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, 84081 Baronissi, Italy
| | - Marco Boccalatte
- Coronary Care Unit, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
| | - Gerolamo Sibilio
- Coronary Care Unit, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
| | | | - Giuseppe Muscogiuri
- Department of Radiology, Istituto Auxologico Italiano IRCCS, San Luca Hospital, University Milano Bicocca, 20149 Milan, Italy
| | - Sandro Sironi
- Department of Radiology, Istituto Auxologico Italiano IRCCS, San Luca Hospital, University Milano Bicocca, 20149 Milan, Italy
| | - Giuseppe Di Costanzo
- Department of Radiology, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
| | - Enrico Cavaglià
- Department of Radiology, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy
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Singh R, Rai R, Mroueh N, Kambadakone A. Role of Dual Energy Computed Tomography in Inflammatory Bowel Disease. Semin Ultrasound CT MR 2022; 43:320-332. [PMID: 35738817 DOI: 10.1053/j.sult.2022.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Dual-energy computed tomography (DECT), which allows material-based differential X-ray absorption behavior from near simultaneously acquired low- and high-kilovolt datasets is finding increasing applications in the evaluation of bowel diseases. In patients with inflammatory bowel disease, DECT techniques permit both qualitative and quantitative assessment. Particularly in patients with Crohn's disease, monoenergetic and iodine specific images have been explored. This article focuses on the principles and applications of DECT in inflammatory bowel disease along with review of its limitations and challenges.
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Affiliation(s)
- Ramandeep Singh
- Department of Radiology, Massachusetts General Hospital, Boston, MA
| | - Rubal Rai
- Department of Radiology, Massachusetts General Hospital, Boston, MA
| | - Nayla Mroueh
- Department of Radiology, Massachusetts General Hospital, Boston, MA
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Kaproth-Joslin K, Hobbs S, Rajiah P, Chaturvedi A, Chaturvedi A. Optimizing low contrast volume thoracic CT angiography: From the basics to the advanced. J Clin Imaging Sci 2022; 12:41. [PMID: 36128360 PMCID: PMC9479554 DOI: 10.25259/jcis_51_2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 06/30/2022] [Indexed: 11/04/2022] Open
Abstract
Contrast-enhanced CT angiography (CTA) is a widely used, noninvasive imaging technique for evaluating cardiovascular structures. Contrast-induced nephrotoxicity is a concern in renal disease; however, the true nephrotoxic potential of iodinated contrast media (CM) is unknown. If a renal impaired patient requires CTA, it is important to protect the kidneys from further harm by reducing total iodinated CM volume while still obtaining diagnostic quality imaging. These same reduced volume CM techniques can also be applied to nonrenal impaired patients in times of CM shortage. This educational review discusses several modifications to CTA that can be adapted to both conventional 64-slice and the newer generation CT scanners which enable subsecond acquisition with a reduced CM volume technique. Such modifications include hardware and software adjustments and changes to both the volume and flow rate of administered CM, with the goal to reduce the dose of CM without compromising diagnostic yield.
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Affiliation(s)
| | - Susan Hobbs
- Department of Imaging Sciences, University of Rochester, Rochester, New York, United States,
| | - Prabhakar Rajiah
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, United States,
| | - Apeksha Chaturvedi
- Department of Imaging Sciences, University of Rochester, Rochester, New York, United States,
| | - Abhishek Chaturvedi
- Department of Imaging Sciences, University of Rochester, Rochester, New York, United States,
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Jungblut L, Sartoretti T, Kronenberg D, Mergen V, Euler A, Schmidt B, Alkadhi H, Frauenfelder T, Martini K. Performance of virtual non-contrast images generated on clinical photon-counting detector CT for emphysema quantification: proof of concept. Br J Radiol 2022; 95:20211367. [PMID: 35357902 PMCID: PMC10996315 DOI: 10.1259/bjr.20211367] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 03/09/2022] [Accepted: 03/22/2022] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE To evaluate the performance of virtual non-contrast images (VNC) compared to true non-contrast (TNC) images in photon-counting detector computed tomography (PCD-CT) for the evaluation of lung parenchyma and emphysema quantification. METHODS 65 (mean age 73 years; 48 male) consecutive patients who underwent a three-phase (non-contrast, arterial and venous) chest/abdomen CT on a first-generation dual-source PCD-CT were retrospectively included. Scans were performed in the multienergy (QuantumPlus) mode at 120 kV with 70 ml intravenous contrast agent at an injection rate of 4 ml s-1. VNC were reconstructed from the arterial (VNCart) and venous phase (VNCven). TNC and VNC images of the lung were assessed quantitatively by calculating the global noise index (GNI) and qualitatively by two independent, blinded readers (overall image quality and emphysema assessment). Emphysema quantification was performed using a commercially available software tool at a threshold of -950 HU for all data sets. TNC images served as reference standard for emphysema quantification. Low attenuation values (LAV) were compared in a Bland-Altman plot. RESULTS GNI was similar in VNCart (103.0 ± 30.1) and VNCven (98.2 ± 22.2) as compared to TNC (100.9 ± 19.0, p = 0.546 and p = 0.272, respectively). Subjective image quality (emphysema assessment and overall image quality) was highest for TNC (p = 0.001), followed by VNCven and VNCart. Both, VNCart and VNCven showed no significant difference in emphysema quantification as compared to TNC (p = 0.409 vs. p = 0.093; respectively). CONCLUSION Emphysema evaluation is feasible using virtual non-contrast images from PCD-CT. ADVANCES IN KNOWLEDGE Emphysema quantification is feasible and accurate using VNC images in PCD-CT. Based on these findings, additional TNC scans for emphysema quantification could be omitted in the future.
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Affiliation(s)
- Lisa Jungblut
- Institute of Diagnostic and Interventional Radiology,
University Hospital Zurich, University of Zurich,
Zurich, Switzerland
| | - Thomas Sartoretti
- Institute of Diagnostic and Interventional Radiology,
University Hospital Zurich, University of Zurich,
Zurich, Switzerland
| | - Daniel Kronenberg
- Institute of Diagnostic and Interventional Radiology,
University Hospital Zurich, University of Zurich,
Zurich, Switzerland
| | - Victor Mergen
- Institute of Diagnostic and Interventional Radiology,
University Hospital Zurich, University of Zurich,
Zurich, Switzerland
| | - Andre Euler
- Institute of Diagnostic and Interventional Radiology,
University Hospital Zurich, University of Zurich,
Zurich, Switzerland
| | - Bernhard Schmidt
- Siemens Healthcare GmbH, Computed Tomography,
Forchheim, Germany
| | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology,
University Hospital Zurich, University of Zurich,
Zurich, Switzerland
| | - Thomas Frauenfelder
- Institute of Diagnostic and Interventional Radiology,
University Hospital Zurich, University of Zurich,
Zurich, Switzerland
| | - Katharina Martini
- Institute of Diagnostic and Interventional Radiology,
University Hospital Zurich, University of Zurich,
Zurich, Switzerland
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Hepatobiliary Dual-Energy Computed Tomography. Radiol Clin North Am 2022; 60:731-743. [DOI: 10.1016/j.rcl.2022.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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50
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Ananthakrishnan L, Kay FU, Zeikus EA, Chu ES, Chang J, Barr JD, Rofsky NM, Abbara S. What the Baby Formula and Medical Contrast Material Shortages Have in Common: Insights and Recommendations for Managing the Iodinated Contrast Media Shortage. Radiol Cardiothorac Imaging 2022; 4:e220101. [PMID: 35833167 PMCID: PMC9274312 DOI: 10.1148/ryct.220101] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 05/21/2022] [Accepted: 05/21/2022] [Indexed: 05/25/2023]
Abstract
The impact of supply chain and supply chain logistics, including personnel directly and indirectly related to the movement of supplies, has come to light in a variety of industries since the global COVID-19 pandemic. Acutely, the experience with baby formula and iodinated contrast material exposes key vulnerabilities to supply chains. The rather sudden diminished availability of iodinated contrast material has forced health care systems to engage in more judicious use of product through catalyzing the adoption of behaviors that had been recommended and deemed reasonable prior to the shortage. The authors describe efforts at a large, academic safety net county health system to conserve iodinated contrast media by optimizing contrast media use in the CT department and changing ordering patterns of referring providers. Special attention is given to opportunities to conserve contrast material in cardiothoracic imaging, including low kV and dual-energy CT techniques. A values-based leadership philosophy and collaboration with key stakeholders facilitate effective response to the critical shortage and rapid deployment of iodinated contrast media conservation strategies. Last, while the single-supplier model is efficient and cost-effective, its application to critically necessary services such as health care must be questioned considering disruptions related to the COVID-19 pandemic. Keywords: CT, Intravenous Contrast Agents, CT-Spectral Imaging (Dual Energy) ©RSNA, 2022.
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