1
|
Yao J, Ertl-Wagner BB, Dana J, Hanneman K, Kashif Al-Ghita M, Liu L, McInnes MDF, Nicolaou S, Reinhold C, Patlas MN. Canadian radiology: 2024 update. Diagn Interv Imaging 2024:S2211-5684(24)00140-2. [PMID: 38942638 DOI: 10.1016/j.diii.2024.06.004] [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: 06/11/2024] [Accepted: 06/11/2024] [Indexed: 06/30/2024]
Abstract
Radiology in Canada is advancing through innovations in clinical practices and research methodologies. Recent developments focus on refining evidence-based practice guidelines, exploring innovative imaging techniques and enhancing diagnostic processes through artificial intelligence. Within the global radiology community, Canadian institutions play an important role by engaging in international collaborations, such as with the American College of Radiology to refine implementation of the Ovarian-Adnexal Reporting and Data System for ultrasound and magnetic resonance imaging. Additionally, researchers have participated in multidisciplinary collaborations to evaluate the performance of artificial intelligence-driven diagnostic tools for chronic liver disease and pediatric brain tumors. Beyond clinical radiology, efforts extend to addressing gender disparities in the field, improving educational practices, and enhancing the environmental sustainability of radiology departments. These advancements highlight Canada's role in the global radiology community, showcasing a commitment to improving patient outcomes and advancing the field through research and innovation. This update underscores the importance of continued collaboration and innovation to address emerging challenges and further enhance the quality and efficacy of radiology practices worldwide.
Collapse
Affiliation(s)
- Jason Yao
- Department of Radiology, McMaster University, Hamilton, ON L8S4K1, Canada.
| | - Birgit B Ertl-Wagner
- Department of Diagnostic Imaging, Division of Neuroradiology, the Hospital for Sick Children, Toronto, ON M5G1X8, Canada; Department of Medical Imaging, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S1A8, Canada
| | - Jérémy Dana
- Department of Radiology, McGill University Health Centre, McGill University, Montreal, QC H3G1A4, Canada
| | - Kate Hanneman
- Department of Medical Imaging, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S1A8, Canada; University Medical Imaging Toronto, Joint Department of Medical Imaging, University Health Network (UHN), Toronto, ON M5G1X6, Canada
| | | | - Lulu Liu
- Department of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, BC V5Z1M9, Canada
| | - Matthew D F McInnes
- Faculty of Medicine, University of Ottawa, Ottawa, ON K1H8M5, Canada; Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, ON K1H8L6, Canada; The Ottawa Hospital Research Institute, Clinical Epidemiology Program, Ottawa, ON K1H8L6, Canada
| | - Savvas Nicolaou
- Department of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, BC V5Z1M9, Canada
| | - Caroline Reinhold
- Department of Radiology, McGill University Health Centre, McGill University, Montreal, QC H3G1A4, Canada
| | - Michael N Patlas
- Department of Medical Imaging, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S1A8, Canada; University Medical Imaging Toronto, Joint Department of Medical Imaging, University Health Network (UHN), Toronto, ON M5G1X6, Canada
| |
Collapse
|
2
|
Noda Y, Takai Y, Suto T, Yamada N, Mori T, Kawai N, Kaga T, Hyodo F, Kato H, Matsuo M. Effect of X-ray tube on image quality and pancreatic ductal adenocarcinoma conspicuity in pancreatic protocol dual-energy CT. Clin Radiol 2024; 79:e554-e559. [PMID: 38453389 DOI: 10.1016/j.crad.2023.12.024] [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: 06/25/2023] [Revised: 12/05/2023] [Accepted: 12/31/2023] [Indexed: 03/09/2024]
Abstract
AIM To compare the radiation dose, image quality, and conspicuity of pancreatic ductal adenocarcinoma (PDAC) in pancreatic protocol dual-energy computed tomography (CT) between two X-ray tubes mounted in the same CT machine. MATERIAL AND METHODS This retrospective study comprised 80 patients (median age, 73 years; 45 men) who underwent pancreatic protocol dual-energy CT from January 2019 to March 2022 using either old (Group A, n=41) or new (Group B, n=39) X-ray tubes mounted in the same CT machine. The imaging parameters were completely matched between the two groups, and CT data were reconstructed at 70 and 40 keV. The CT dose-index volume (CTDIvol); CT attenuation of the abdominal aorta, pancreas, and PDAC; background noise; and qualitative scores for the image noise, overall image quality, and PDAC conspicuity were compared between the two groups. RESULTS The CTDIvol was lower in Group B than Group A (7.9 versus 9.2 mGy; p<0.001). The CT attenuation of all anatomical structures at 70 and 40 keV was comparable between the two groups (p=0.06-0.78). The background noise was lower in Group B than Group A (12 versus 14 HU at 70 keV, p=0.046; and 26 versus 30 HU at 40 keV, p<0.001). Qualitative scores for image noise and overall image quality at 70 and 40 keV and PDAC conspicuity at 40 keV were higher in Group B than Group A (p<0.001-0.045). CONCLUSION The latest X-ray tube could reduce the radiation dose and improve image quality in pancreatic protocol dual-energy CT.
Collapse
Affiliation(s)
- Y Noda
- Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.
| | - Y Takai
- Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan
| | - T Suto
- Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan
| | - N Yamada
- Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan
| | - T Mori
- Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan
| | - N Kawai
- Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan
| | - T Kaga
- Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan
| | - F Hyodo
- Department of Pharmacology, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan; Center for One Medicine Innovative Translational Research (COMIT), Institute for Advanced Study, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan
| | - H Kato
- Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan
| | - M Matsuo
- Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan
| |
Collapse
|
3
|
Gupta A, Kikano EG, Bera K, Baruah D, Saboo SS, Lennartz S, Hokamp NG, Gholamrezanezhad A, Gilkeson RC, Laukamp KR. Dual energy imaging in cardiothoracic pathologies: A primer for radiologists and clinicians. Eur J Radiol Open 2021; 8:100324. [PMID: 33532519 PMCID: PMC7822965 DOI: 10.1016/j.ejro.2021.100324] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 01/05/2021] [Accepted: 01/06/2021] [Indexed: 12/12/2022] Open
Abstract
Recent advances in dual-energy imaging techniques, dual-energy subtraction radiography (DESR) and dual-energy CT (DECT), offer new and useful additional information to conventional imaging, thus improving assessment of cardiothoracic abnormalities. DESR facilitates detection and characterization of pulmonary nodules. Other advantages of DESR include better depiction of pleural, lung parenchymal, airway and chest wall abnormalities, detection of foreign bodies and indwelling devices, improved visualization of cardiac and coronary artery calcifications helping in risk stratification of coronary artery disease, and diagnosing conditions like constrictive pericarditis and valvular stenosis. Commercially available DECT approaches are classified into emission based (dual rotation/spin, dual source, rapid kilovoltage switching and split beam) and detector-based (dual layer) systems. DECT provide several specialized image reconstructions. Virtual non-contrast images (VNC) allow for radiation dose reduction by obviating need for true non contrast images, low energy virtual mono-energetic images (VMI) boost contrast enhancement and help in salvaging otherwise non-diagnostic vascular studies, high energy VMI reduce beam hardening artifacts from metallic hardware or dense contrast material, and iodine density images allow quantitative and qualitative assessment of enhancement/iodine distribution. The large amount of data generated by DECT can affect interpreting physician efficiency but also limit clinical adoption of the technology. Optimization of the existing workflow and streamlining the integration between post-processing software and picture archiving and communication system (PACS) is therefore warranted.
Collapse
Key Words
- AI, artificial intelligence
- BT, blalock-taussig
- CAD, computer-aided detection
- CR, computed radiography
- DECT, dual-energy computed tomography
- DESR, dual-energy subtraction radiography
- Dual energy CT
- Dual energy radiography
- NIH, national institute of health
- NPV, negative predictive value
- PACS, picture archiving and communication system
- PCD, photon-counting detector
- PET, positron emission tomography
- PPV, positive predictive value
- Photoelectric effect
- SNR, signal to noise ratio
- SPECT, single photon emission computed tomography
- SVC, superior vena cava
- TAVI, transcatheter aortic valve implantation
- TNC, true non contrast
- VMI, virtual mono-energetic images
- VNC, virtual non-contrast images
- eGFR, estimated glomerular filtration rate
- kV, kilo volt
- keV, kilo electron volt
Collapse
Affiliation(s)
- Amit Gupta
- Department of Radiology, University Hospitals Cleveland Medical Center/Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH, 44106, USA
| | - Elias G Kikano
- Department of Radiology, University Hospitals Cleveland Medical Center/Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH, 44106, USA
| | - Kaustav Bera
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA
| | - Dhiraj Baruah
- Department of Radiology, Medical University of South Carolina, Charleston, SC, USA
| | - Sachin S Saboo
- Department of Radiology, University Of Texas Health Science Center, San Antonio, TX, USA
| | - Simon Lennartz
- Institute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany
| | - Nils Große Hokamp
- Institute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany
| | - Ali Gholamrezanezhad
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Robert C Gilkeson
- Department of Radiology, University Hospitals Cleveland Medical Center/Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH, 44106, USA
| | - Kai R Laukamp
- Institute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany
| |
Collapse
|
4
|
Foti G, Silva R, Faccioli N, Fighera A, Menghini R, Campagnola A, Carbognin G. Identification of pulmonary embolism: diagnostic accuracy of venous-phase dual-energy CT in comparison to pulmonary arteries CT angiography. Eur Radiol 2020; 31:1923-1931. [PMID: 32965572 DOI: 10.1007/s00330-020-07286-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 07/27/2020] [Accepted: 09/11/2020] [Indexed: 11/30/2022]
Abstract
OBJECTIVES To evaluate the diagnostic accuracy of venous-phase dual-energy computed tomography (VP-DECT) in the identification of PE compared with standard CT pulmonary angiography (CTPA). METHODS This prospective IRB-approved study included 61 consecutive oncology patients (35 females, 26 males, mean age 66.91 years) examined by CTPA and VP-DECT. DECT data were post-processed on a SyngoVia workstation to obtain monoenergetic images (MEI+). The diagnosis of PE was based on the presence of any vascular perfusion defects. DECT images were evaluated independently by two radiologists (8 and 16 years of experience). A consensus reading of CTPA images (two senior radiologists, 18 and 24 years of experience) represented the reference for diagnosis. The diagnostic accuracy values of VP-DECT on a per-patient and per-lobe basis were assessed. Interobserver agreement was calculated using k-statistics. A value of p < 0.05 was considered statistically significant. RESULTS Thirty of 61 patients (49.18%) were diagnosed with PE by CTPA, with 57/366 lobes being involved (15.57%). The sensitivity and specificity of the per-patient analysis of VP-DECT images were 90.0% (27/30) and 100% (31/31) respectively, for both readers. As concerns the per-lobe analysis, the sensitivity ranged from 100% for the right lower lobe to 50% for the left upper lobe for reader 1, and from 100% for the left upper lobe to 69.23% for the lingula for reader 2. The interobserver agreement ranged from 0.8671 (patients' analysis) to 0.6419 (lobes' analysis). CONCLUSION VP-DECT could be considered an accurate imaging tool for diagnosing PE in a selected, high-prevalence population, compared with CTPA. KEY POINTS • With regard to the patients' analysis, venous-phase DECT sensitivity and specificity in diagnosing pulmonary embolism were 90% and 100%, respectively, for both readers. • With regard to the lobes' analysis, the sensitivity ranged from 100 to 50%, for reader 1, and from 100 to 69.23%, for reader 2, respectively. • The sensitivity and specificity of lung perfusion maps obtained from venous DECT were 73.33% and 67.74% as concerns the patients' analysis and 71.92% and 75.72% as regards the lobes' analysis, respectively.
Collapse
Affiliation(s)
- Giovanni Foti
- Department of Radiology, IRCCS Sacro Cuore Don Calabria Hospital, Via Don A. Sempreboni 1, 37024, Negrar, VR, Italy.
| | - Ronaldo Silva
- Clinical Research Unit, IRCCS Sacro Cuore Don Calabria Hospital, Negrar, Italy
| | - Niccolò Faccioli
- Department of Radiology, Verona University Hospital, Verona, Italy
| | | | | | | | - Giovanni Carbognin
- Department of Radiology, IRCCS Sacro Cuore Don Calabria Hospital, Via Don A. Sempreboni 1, 37024, Negrar, VR, Italy
| |
Collapse
|