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Kawamoto K, Sato H, Kogure Y. Usefulness of Ag Additional Filter on Image Quality and Radiation Dose for Low-Dose Chest Computed Tomography. J Comput Assist Tomogr 2024; 48:236-243. [PMID: 37551143 DOI: 10.1097/rct.0000000000001538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/09/2023]
Abstract
OBJECTIVE This study aimed to evaluate the effect of a silver (Ag) additional filter on dose characteristics and image quality in low-dose chest computed tomography (CT). METHODS A dose evaluation phantom, physical evaluation phantom, and chest phantom were scanned with and without an Ag additional filter. The doses were adjusted so that the displayed the volume CT dose indexes (CTDI vol ) were from 0.3 to 1.6 mGy. For dose characteristics, the spectrum of photon energies and the measured CTDI vol were calculated for each scanning condition. For task-based image quality analysis, task transfer function, noise power spectrum, and system performance were evaluated. Streak artifacts, image noise, and contrast-to-noise ratio were quantified using a chest phantom. RESULTS With the Ag additional filter, mean energy was 22% higher and the CTDI vol was approximately 30% lower than those without the Ag additional filter. The task transfer function and noise power spectrum with the Ag additional filter were lower than those without the Ag additional filter. The system performance with the Ag additional filter was similar to that without the Ag additional filter. The Ag additional filter reduced streak artifact near the lung apex and image noise in the lung fields. The contrast-to-noise ratio was slightly higher with the Ag additional filter than that without the Ag additional filter. CONCLUSIONS The output dose and spatial resolution with the Ag additional filter were lower than those without the Ag additional filter. However, this filter helped reduce the radiation dose, image noise, and streak artifacts, particularly when scanning at ultralow doses.
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Affiliation(s)
- Keishin Kawamoto
- From the Department of Radiological Technology, Juntendo University Hospital, Tokyo, Japan
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Feghali JA, Russo RA, Mamou A, Lorentz A, Cantarinha A, Bellin MF, Meyrignac O. Image quality assessment in low-dose COVID-19 chest CT examinations. Acta Radiol 2024; 65:3-13. [PMID: 36744376 PMCID: PMC9905706 DOI: 10.1177/02841851231153797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 12/21/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Low-dose thoracic protocols were developed massively during the COVID-19 outbreak. PURPOSE To study the impact on image quality (IQ) and the diagnosis reliability of COVID-19 low-dose chest computed tomography (CT) protocols. MATERIAL AND METHODS COVID-19 low-dose protocols were implemented on third- and second-generation CT scanners considering two body mass index (BMI) subgroups (<25 kg/m2 and >25 kg/m2). Contrast-to-noise ratios (CNR) were compared with a Catphan phantom. Next, two radiologists retrospectively assessed IQ for 243 CT patients using a 5-point Linkert scale for general IQ and diagnostic criteria. Kappa score and Wilcoxon rank sum tests were used to compare IQ score and CTDIvol between radiologists, protocols, and scanner models. RESULTS In vitro analysis of Catphan inserts showed in majority significantly decreased CNR for the low dose versus standard acquisition protocols on both CT scanners. However, in vivo, there was no impact on the diagnosis: sensitivity and specificity were ≥0.8 for all protocols and CT scanners. The third-generation scanner involved a significantly lower dose compared to the second-generation scanner (CTDIvol of 1.8 vs. 2.6 mGy for BMI <25 kg/m2 and 3.3 vs. 4.6 mGy for BMI >25 kg/m2). Still, the third-generation scanner showed a significantly higher IQ with the low-dose protocol compared to the second-generation scanner (30.9 vs. 28.1 for BMI <25 kg/m2 and 29.9 vs. 27.8 for BMI >25 kg/m2). Finally, the two radiologists had good global inter-reader agreement (kappa ≥0.6) for general IQ. CONCLUSION Low-dose protocols provided sufficient IQ independently of BMI subgroups and CT models without any impact on diagnosis reliability.
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Affiliation(s)
- Joelle A Feghali
- Diagnostic and Interventional Radiology Department, AP-HP Paris Saclay University, Bicêtre Hospital, Le Kremlin-Bicêtre, Le Kremlin Bicêtre, France
| | - Roberta A Russo
- Diagnostic and Interventional Radiology Department, AP-HP Paris Saclay University, Bicêtre Hospital, Le Kremlin-Bicêtre, Le Kremlin Bicêtre, France
| | - Adel Mamou
- Diagnostic and Interventional Radiology Department, AP-HP Paris Saclay University, Bicêtre Hospital, Le Kremlin-Bicêtre, Le Kremlin Bicêtre, France
| | - Axel Lorentz
- Diagnostic and Interventional Radiology Department, AP-HP Paris Saclay University, Bicêtre Hospital, Le Kremlin-Bicêtre, Le Kremlin Bicêtre, France
| | - Alfredo Cantarinha
- Diagnostic and Interventional Radiology Department, AP-HP Paris Saclay University, Bicêtre Hospital, Le Kremlin-Bicêtre, Le Kremlin Bicêtre, France
| | - Marie-France Bellin
- Diagnostic and Interventional Radiology Department, AP-HP Paris Saclay University, Bicêtre Hospital, Le Kremlin-Bicêtre, Le Kremlin Bicêtre, France
- Faculty of Medicine, Paris-Saclay University, Le Kremlin-Bicêtre, France
- Laboratoire d'Imagerie Biomédicale Multimodale (BioMaps), Université Paris-Saclay, CEA, CNRS, Inserm, Service Hospitalier Frédéric Joliot, Orsay, France
| | - Olivier Meyrignac
- Diagnostic and Interventional Radiology Department, AP-HP Paris Saclay University, Bicêtre Hospital, Le Kremlin-Bicêtre, Le Kremlin Bicêtre, France
- Faculty of Medicine, Paris-Saclay University, Le Kremlin-Bicêtre, France
- Laboratoire d'Imagerie Biomédicale Multimodale (BioMaps), Université Paris-Saclay, CEA, CNRS, Inserm, Service Hospitalier Frédéric Joliot, Orsay, France
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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] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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Cederhag J, Iskanderani D, Alstergren P, Shi XQ, Hellén-Halme K. Visibility of anatomical landmarks in the region of the mandibular third molar, a comparison between a low-dose and default protocol of CBCT. Acta Odontol Scand 2023:1-7. [PMID: 36748228 DOI: 10.1080/00016357.2023.2170462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
OBJECTIVE Optimization of radiographic examinations is essential for radiation protection. The objective of the study was to investigate the clinical applicability of a low-dose CBCT protocol as compared to the default for pre-surgical evaluation of mandibular third molars. MATERIAL & METHODS Forty-eight patients (62 teeth) referred for pre-surgical mandibular third molar investigation were recruited after justification for CBCT. Two CBCT scans of each site were made using a default protocol and a low-dose protocol (Veraviewepocs 3D F40, J Morita Corp, Kyoto, Japan). The low-dose protocol had the same tube potential (90 kV) and exposure time (9.4 s) as the default, but with reduced tube current, from 5 mA to 2 mA. Four observers evaluated the visibility of five relevant anatomical variables. Image quality was ranked on a 3-point scale as diagnostically acceptable, doubtful, or unacceptable. The Wilcoxon signed-rank test compared differences between the two protocols. The significance level was set at p ≤ .05. RESULTS No significant differences were found between the two protocols for any observer regarding the visibility of the relationship and proximity between the roots and the mandibular canal; root morphology; and possible root resorption of the second molar. The periodontal ligament differed significantly in visibility between the two protocols (p ≤ .05). CONCLUSIONS This study indicates that a low-dose CBCT protocol with a 60% reduction of the tube current provides, in most cases, acceptable image quality for pre-surgical assessment of mandibular third molars. Optimization of CBCT protocols should be a priority according to recommended guidelines.
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Affiliation(s)
- Josefine Cederhag
- Department of Oral and Maxillofacial Radiology, Malmö University, Malmö, Sweden
| | - Durer Iskanderani
- Department of Oral and Maxillofacial Radiology, Malmö University, Malmö, Sweden.,Department of Oral & Maxillofacial Radiology, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Per Alstergren
- Department of Orofacial Pain and Jaw Function, Malmö University, Malmö, Sweden.,Specialized Pain Rehabilitation, Skåne University Hospital, Lund, Sweden
| | - Xie-Qi Shi
- Department of Oral and Maxillofacial Radiology, Malmö University, Malmö, Sweden.,Section of Oral and Maxillofacial Radiology, Department of Clinical Dentistry, University of Bergen, Bergen, Norway
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Lei M, Zhang M, Luo N, Ye J, Lin F, Chen Y, Chen J, Xiao M. The clinical performance of ultra-low-dose shoulder CT scans: The assessment on image and physical 3D printing models. PLoS One 2022; 17:e0275297. [PMID: 36155982 PMCID: PMC9512178 DOI: 10.1371/journal.pone.0275297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 09/13/2022] [Indexed: 11/19/2022] Open
Abstract
Objectives Evaluation of the clinical performance of ultra-low-dose computed tomography (CT) images of the shoulder joint on image-based diagnosis and three-dimensional (3D) printing surgical planning. Materials and methods A total of 93 patients with displaced shoulder fractures were randomly divided into standard-dose, low-dose, and ultra-low-dose groups. Three-dimensional printing models of all patients’ shoulder joints were fabricated. The subjective image quality and 3D-printing model were evaluated by two senior orthopedic surgeons who were blinded to any scanning setting. A 3-point scale system was used to quantitatively assess the image quality and 3D printing model, where more than 2 points meant adequate level for clinical application. Results Compared with the standard dose protocol, ultra-low-dose technique reduced the radiation dose by 99.29% without loss of key image quality of fracture pattern. Regarding the subjective image quality, the assessment scores for groups of standard, low, and ultra-low doses were 3.00, 2.76, 2.00 points on scapula and humerus, and 3.00, 2.73, 2.44 points on clavicle. Scores of the three groups for the assessment of 3D printing models were 3.00, 2.80, 1.34 on scapula and humerus, and 3.00, 2.90, 2.06 on clavicle. In the ultra-low-dose group, 24 out of 33 (72.7%) 3D printing models of scapula and humerus received lower than 2 points of the evaluation score, while nearly 94% of the clavicle models reached the adequate level. Conclusion An ultra-low-dose protocol is adequate for the diagnosis of either displaced or non-displaced fractures of the shoulder joint even though minor flaws of images are present. Three-dimensional printing models of shoulder joints created from ultra-low-dose CT scans can be used for surgical planning at specific bone like the clavicle but perform insufficiently in the overall surgical planning for shoulder injuries due to the significant geometric flaws.
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Affiliation(s)
- Ming Lei
- Department of Imaging, Zhuhai Hospital Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China
| | - Meng Zhang
- Department of Imaging, Zhuhai Hospital Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China
| | - Niyuan Luo
- Department of Imaging, Zhuhai Hospital Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China
| | - Jingzhi Ye
- Department of Imaging, Zhuhai Hospital Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China
| | - Fenghuan Lin
- Department of Imaging, Zhuhai Hospital Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China
| | - Yanxia Chen
- Department of Imaging, Zhuhai Hospital Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China
| | - Jun Chen
- Department of Imaging, Zhuhai Hospital Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China
| | - Mengqiang Xiao
- Department of Imaging, Zhuhai Hospital Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China
- * E-mail:
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Zhang M, Lei M, Zhang J, Li H, Lin F, Chen Y, Chen J, Xiao M. Feasibility study of three-dimensional printing knee model using the ultra-low-dose CT scan for preoperative planning and simulated surgery. Insights Imaging 2022; 13:151. [PMID: 36153379 PMCID: PMC9509516 DOI: 10.1186/s13244-022-01291-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 08/24/2022] [Indexed: 11/10/2022] Open
Abstract
Objective To explore the feasibility of the three-dimensional printing (3DP) knee model using the ultra-low-dose computed tomography (CT) scan for preoperative planning and simulated surgery. Methods Thirty-six patients were divided into the standard-dose protocol group (A) and ultra-low-dose protocol group (B). The anteroposterior diameter, left and right diameter of femur, anteroposterior diameter of tibial plateau (APTP), left and right diameter, distance from the intercondylar ridge to tibial tuberosity, lower femur angle, and upper tibial angle were measured on CT images. On the 3D printed knee joint model, Vernier calipers were used to measure: anteroposterior diameter, left and right diameter of the internal and external condyles of femur; left and right diameters, anteroposterior diameters of tibial plateau; upper and lower meridian, left and right diameters of patella. Results With group A as reference, the effective radiation dose in group B was significantly reduced to 97.0% (36.4 ± 3.7 uSv and 1.1 ± 0.2 uSv, respectively). There was no difference in objective parameters for 3DP model (p = 0.31–0.84). None of the quantitative parameters of image quality showed significant difference (p = 0.11–0.96). Despite lower score of image quality and 3DP model in group B (3.0 ± 0.0 vs. 2.1 ± 0.2, 2.9 ± 0.3 vs. 2.2 ± 0.4; p < 0.05), the diagnostic performance was consistent in the two groups (all scores ≥ 2). Image quality and 3DP printed models were highly consistent (k = 0.97). Conclusions Ultra-low-dose protocol reduces the radiation dose while maintaining the image quality of knee. It meets the requirement for 3DP model, internal fixation model selection, and simulated surgery.
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Hoyoshi K, Ohmura T, Kayano S, Goto M, Muramatsu S, Homma N. [A Review of Current Knowledge for X-ray Energy in CT: Practical Guide for CT Technologist]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2022; 78:449-463. [PMID: 35400711 DOI: 10.6009/jjrt.2022-1238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
In computed tomography (CT) systems, the optimal X-ray energy in imaging depends on the material composition and the subject size. Among the parameters related to the X-ray energy, we can arbitrarily change only the tube voltage. For years, the tube voltage has often been set at 120 kVp. However, since about 2000, there has been an increasing interest in reducing radiation dose, and it has led to the publication of various reports on low tube voltage. Furthermore, with the spread of dual-energy CT, virtual monochromatic X-ray images are widely used since the contrast can be adjusted by selecting the optional energy. Therefore, because of the renewed interest in X-ray energy in CT imaging, the issue of energy and imaging needs to be summarized. In this article, we describe the basics of physical characteristics of X-ray attenuation with materials and its influence on the process of CT imaging. Moreover, the relationship between X-ray energy and CT imaging is discussed for clinical applications.
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Affiliation(s)
- Kazutaka Hoyoshi
- Department of Radiology, Yamagata University Hospital.,Department of Radiological Imaging and Informatics, Tohoku University Graduate School of Medicine
| | - Tomomi Ohmura
- Department of Radiology and Nuclear Medicine, Akita Cerebrospinal and Cardiovascular Center
| | - Shingo Kayano
- Department of Radiological Technology, Tohoku University Hospital
| | - Mitsunori Goto
- Department of Radiological Technology, Miyagi Cancer Center (Current address: Department of Radiology, Fujita Health University Hospital)
| | | | - Noriyasu Homma
- Department of Radiological Imaging and Informatics, Tohoku University Graduate School of Medicine
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Immonen E, Wong J, Nieminen M, Kekkonen L, Roine S, Törnroos S, Lanca L, Yunqing FG, Metsälä E. The use of deep learning towards dose optimization in low-dose computed tomography: A scoping review. Radiography (Lond) 2021:S1078-8174(21)00090-0. [PMID: 34325998 DOI: 10.1016/j.radi.2021.07.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 06/10/2021] [Accepted: 07/09/2021] [Indexed: 11/21/2022]
Abstract
INTRODUCTION Low-dose computed tomography tends to produce lower image quality than normal dose computed tomography (CT) although it can help to reduce radiation hazards of CT scanning. Research has shown that Artificial Intelligence (AI) technologies, especially deep learning can help enhance the image quality of low-dose CT by denoising images. This scoping review aims to create an overview on how AI technologies, especially deep learning, can be used in dose optimisation for low-dose CT. METHODS Literature searches of ProQuest, PubMed, Cinahl, ScienceDirect, EbscoHost Ebook Collection and Ovid were carried out to find research articles published between the years 2015 and 2020. In addition, manual search was conducted in SweMed+, SwePub, NORA, Taylor & Francis Online and Medic. RESULTS Following a systematic search process, the review comprised of 16 articles. Articles were organised according to the effects of the deep learning networks, e.g. image noise reduction, image restoration. Deep learning can be used in multiple ways to facilitate dose optimisation in low-dose CT. Most articles discuss image noise reduction in low-dose CT. CONCLUSION Deep learning can be used in the optimisation of patients' radiation dose. Nevertheless, the image quality is normally lower in low-dose CT (LDCT) than in regular-dose CT scans because of smaller radiation doses. With the help of deep learning, the image quality can be improved to equate the regular-dose computed tomography image quality. IMPLICATIONS TO PRACTICE Lower dose may decrease patients' radiation risk but may affect the image quality of CT scans. Artificial intelligence technologies can be used to improve image quality in low-dose CT scans. Radiologists and radiographers should have proper education and knowledge about the techniques used.
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Ortlieb AC, Labani A, Severac F, Jeung MY, Roy C, Ohana M. Impact of Morphotype on Image Quality and Diagnostic Performance of Ultra-Low-Dose Chest CT. J Clin Med 2021; 10:3284. [PMID: 34362068 DOI: 10.3390/jcm10153284] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 07/22/2021] [Accepted: 07/22/2021] [Indexed: 11/23/2022] Open
Abstract
Objectives: The image quality of an Ultra-Low-Dose (ULD) chest CT depends on the patient’s morphotype. We hypothesize that there is a threshold beyond which the diagnostic performance of a ULD chest CT is too degraded. This work assesses the influence of morphotype (Body Mass Index BMI, Maximum Transverse Chest Diameter MTCD and gender) on image quality and the diagnostic performance of a ULD chest CT. Methods: A total of 170 patients from three prior prospective monocentric studies were retrospectively included. Renewal of consent was waived by our IRB. All the patients underwent two consecutive unenhanced chest CT acquisitions with a full dose (120 kV, automated tube current modulation) and a ULD (135 kV, fixed tube current at 10 mA). Image noise, subjective image quality and diagnostic performance for nine predefined lung parenchyma lesions were assessed by two independent readers, and correlations with the patient’s morphotype were sought. Results: The mean BMI was 26.6 ± 5.3; 20.6% of patients had a BMI > 30. There was a statistically significant negative correlation of the BMI with the image quality (ρ = −0.32; IC95% = (−0.468; −0.18)). The per-patient diagnostic performance of ULD was sensitivity, 77%; specificity, 99%; PPV, 94% and NPV, 65%. There was no statistically significant influence of the BMI, the MTCD nor the gender on the per-patient and per-lesion diagnostic performance of a ULD chest CT, apart from a significant negative correlation for the detection of emphysema. Conclusions: Despite a negative correlation between the BMI and the image quality of a ULD chest CT, we did not find a correlation between the BMI and the diagnostic performance of the examination, suggesting a possible use of the ULD protocol in obese patients.
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Couraud S, Ferretti G, Milleron B, Cortot A, Girard N, Gounant V, Laurent F, Leleu O, Quoix E, Revel MP, Wislez M, Westeel V, Zalcman G, Scherpereel A, Khalil A. Intergroupe francophone de cancérologie thoracique, Société de pneumologie de langue française, and Société d'imagerie thoracique statement paper on lung cancer screening. Diagn Interv Imaging 2021; 102:199-211. [PMID: 33648872 DOI: 10.1016/j.diii.2021.01.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 01/21/2021] [Accepted: 01/29/2021] [Indexed: 12/17/2022]
Abstract
Following the American National Lung Screening Trial results in 2011 a consortium of French experts met to edit a statement. Recent results of other randomized trials gave the opportunity for our group to meet again in order to edit updated guidelines. After literature review, we provide here a new update on lung cancer screening in France. Notably, in accordance with all international guidelines, the experts renew their recommendation in favor of individual screening for lung cancer in France as per the conditions laid out in this document. In addition, the experts recommend the very rapid organization and funding of prospective studies, which, if conclusive, will enable the deployment of lung cancer screening organized at the national level.
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Lederlin M, de Margerie-Mellon C, Boussouar S, Bommart S, Caramella C. Lung cancer screening: French radiologists should prepare for it. Diagn Interv Imaging 2021; 102:197-198. [PMID: 33642220 DOI: 10.1016/j.diii.2021.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Accepted: 02/03/2021] [Indexed: 11/17/2022]
Affiliation(s)
- Mathieu Lederlin
- Department of Radiology, University Hospital of Rennes, University of Rennes, 35033 Rennes, France.
| | - Constance de Margerie-Mellon
- Department of Radiology, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, 75010 Paris, France; Université de Paris, 75010 Paris, France
| | - Samia Boussouar
- Department of Radiology, Hôpital de la Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne University, 75651 Paris, France
| | - Sébastien Bommart
- Department of Medical Imaging, University Hospital of Montpellier, University of Montpellier, 34295 Montpellier, France
| | - Caroline Caramella
- Department of Radiology, Hôpital Marie Lannelongue, Institut d'Oncologie Thoracique, Paris-Saclay University, 92350 Le Plessis-Robinson, France
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Damulira E, Yusoff MNS, Omar AF, Mohd Taib NH, Ahmed NM. Application of Bpw34 photodiode and cold white LED as diagnostic X-ray detectors: A comparative analysis. Appl Radiat Isot 2021; 170:109622. [PMID: 33592486 DOI: 10.1016/j.apradiso.2021.109622] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 12/17/2020] [Accepted: 01/26/2021] [Indexed: 11/25/2022]
Abstract
This study compares the real-time dosimetric performance of a bpw34 photodiode (PD) and cold white light-emitting diodes (LEDs) based on diagnostic X-ray-induced signals. Signals were extracted when both the transducers were under identical exposure settings, including source-to-detector distance (SDD), tube voltage (kVp), and current-time product (mAs). The transducers were in a photovoltaic configuration, and black vinyl tape was applied on transducer active areas as a form of optical shielding. X-ray beam spectra and energies were simulated using Matlab-based Spektr functions. Transducer performance analysis was based on signal linearity to mAs and air kerma, and sensitivity dependence on absorbed dose, energy, and dose rate. Bpw34 PD and cold white LED output signals were 84.8% and 85.5% precise, respectively. PD signals were 94.7% linear to mAs, whereas LED signals were 91.9%. PD and LED signal linearity to dose coefficients were 0.9397 and 0.9128, respectively. Both transducers exhibited similar dose and energy dependence. However, cold white LEDs were 0.73% less dose rate dependent than the bpw34 PD. Cold white LEDs demonstrated potential in detecting diagnostic X-rays because their performance was similar to that of the bpw34 PD. Moreover, the cold white LED array's dosimetric response was independent of the heel effect. Although cold white LED signals were lower than bpw34 PD signals, they were quantifiable and electronically amplifiable.
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Affiliation(s)
- Edrine Damulira
- Medical Radiation Programme, School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian, 16150, Malaysia.
| | - Muhammad Nur Salihin Yusoff
- Medical Radiation Programme, School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian, 16150, Malaysia.
| | - Ahmad Fairuz Omar
- Engineering Physics Laboratory, School of Physics, Universiti Sains Malaysia, Penang, 11800, Malaysia
| | - Nur Hartini Mohd Taib
- Department of Radiology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, 16150, Malaysia
| | - Naser M Ahmed
- School of Physics, Universiti Sains Malaysia, Penang, 11800, Malaysia
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Autrusseau PA, Labani A, De Marini P, Leyendecker P, Hintzpeter C, Ortlieb AC, Calhoun M, Goldberg I, Roy C, Ohana M. Radiomics in the evaluation of lung nodules: Intrapatient concordance between full-dose and ultra-low-dose chest computed tomography. Diagn Interv Imaging 2021; 102:233-239. [PMID: 33583753 DOI: 10.1016/j.diii.2021.01.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Revised: 01/19/2021] [Accepted: 01/19/2021] [Indexed: 12/12/2022]
Abstract
PURPOSE The purpose of this study was to retrospectively evaluate the quantitative and qualitative intrapatient concordance of pulmonary nodule risk assessment by commercially available radiomics software between full-dose (FD) chest-CT and ultra-low-dose (ULD) chest CT. MATERIALS AND METHODS Between July 2013 and September 2015, 68 patients (52 men and16 women; mean age, 65.5±10.6 [SD] years; range: 35-87 years) with lung nodules≥5mm and<30mm who underwent the same day FD chest CT (helical acquisition; 120kV; automated tube current modulation) and ULD chest CT (helical acquisition; 135kV; 10mA fixed) were retrospectively included. Each nodule on each acquisition was assessed by a commercial radiomics software providing a similarity malignancy index (mSI), classifying it as "benign-like" (mSI<0.1); "malignant-like" (mSI>0.9) or "undetermined" (0.1≤mSI≤0.9). Intrapatient qualitative agreement was evaluated with weighted Cohen-Kappa test and quantitative agreement with intraclass correlation coefficient (ICC). RESULTS Ninety-nine lung nodules with a mean size of 9.14±4.3 (SD) mm (range: 5-25mm) in 68 patients (mean 1.46 nodule per patient; range: 1-5) were assessed; mean mSI was 0.429±0.331 (SD) (range: 0.001-1) with FD chest CT (22/99 [22%] "benign-like", 67/99 [68%] "undetermined" and 10/99 [10%] "malignant-like") and mean mSI was 0.487±0.344 (SD) (range: 0.002-1) with ULD chest CT (20/99 [20%] "benign-like", 59/99 [60%] "undetermined" and 20/99 [20%] "malignant-like"). Qualitative and quantitative agreement of FD chest CT with ULD chest CT were "good" with Kappa value of 0.60 (95% CI: 0.46-0.74) and ICC of 0.82 (95% CI: 0.73-0.87), respectively. CONCLUSION A good agreement in malignancy similarity index can be obtained between ULD chest CT and FD chest CT using radiomics software. However, further studies must be done with more case material to confirm our results and elucidate the diagnostic capabilities of radiomics software using ULD chest CT for lung nodule characterization by comparison with FD chest CT.
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Affiliation(s)
- Pierre-Alexis Autrusseau
- Department of Diagnostic Imaging (Radio B), Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France.
| | - Aïssam Labani
- Department of Diagnostic Imaging (Radio B), Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France
| | - Pierre De Marini
- Department of Interventional Imaging (Radio A), Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France
| | - Pierre Leyendecker
- Department of Diagnostic Imaging (Radio B), Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France
| | - Cédric Hintzpeter
- Department of Diagnostic Imaging (Radio B), Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France
| | | | - Michael Calhoun
- Mindshare Medical, 500, Yale Avenue North, 98109 Seattle, WA, USA
| | - Ilya Goldberg
- Mindshare Medical, 500, Yale Avenue North, 98109 Seattle, WA, USA
| | - Catherine Roy
- Department of Diagnostic Imaging (Radio B), Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France
| | - Mickael Ohana
- Department of Diagnostic Imaging (Radio B), Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France; IMAGeS Team, ICube Laboratory, 67412 Illkirch Graffenstaden, France
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Affiliation(s)
- A Ammar
- Department of Radiology B, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, 27, rue du Faubourg-Saint-Jacques, 75014 Paris, France.
| | - J-L Drapé
- Department of Radiology B, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, 27, rue du Faubourg-Saint-Jacques, 75014 Paris, France; Université de Paris, 75006 Paris, France
| | - M-P Revel
- Université de Paris, 75006 Paris, France; Department of Radiology A, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, 27, rue du Faubourg-Saint-Jacques, 75014 Paris, France
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15
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Ruch Y, Kaeuffer C, Ohana M, Labani A, Fabacher T, Bilbault P, Kepka S, Solis M, Greigert V, Lefebvre N, Hansmann Y, Danion F. CT lung lesions as predictors of early death or ICU admission in COVID-19 patients. Clin Microbiol Infect 2020; 26:1417.e5-1417.e8. [PMID: 32717417 PMCID: PMC7378475 DOI: 10.1016/j.cmi.2020.07.030] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 07/16/2020] [Accepted: 07/19/2020] [Indexed: 01/19/2023]
Abstract
OBJECTIVE The main objective of this study was to investigate the prognostic value of early systematic chest computed tomography (CT) with quantification of lung lesions in coronavirus disease 2019 (COVID-19) patients. METHODS We studied 572 patients diagnosed with COVID-19 (confirmed using polymerase chain reaction) for whom a chest CT was performed at hospital admission. Visual quantification was used to classify patients as per the percentage of lung parenchyma affected by COVID-19 lesions: normal CT, 0-10%, 11-25%, 26-50%, 51-75% and >75%. The primary endpoint was severe disease, defined by death or admission to the intensive care unit in the 7 days following first admission. RESULTS The mean patient age was 66.0 ± 16.0 years, and 343/572 (60.0%) were men. The primary endpoint occurred in 206/572 patients (36.0%). The extent of lesions on initial CT was independently associated with prognosis (odds ratio = 2.35, 95% confidence interval 1.24-4.46; p < 0.01). Most patients with lung involvement >50% (66/95, 69.5%) developed severe disease compared to patients with lung involvement of 26-50% (70/171, 40.9%) and ≤25% (70/306, 22.9%) (p < 0.01 and p < 0.01, respectively). None of the patients with normal CT (0/14) had severe disease. CONCLUSION Chest CT findings at admission are associated with outcome in COVID-19 patients.
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Affiliation(s)
- Yvon Ruch
- Department of Infectious Disease, Strasbourg University Hospital, Strasbourg, France.
| | - Charlotte Kaeuffer
- Department of Infectious Disease, Strasbourg University Hospital, Strasbourg, France
| | - Mickael Ohana
- Department of Radiology, Strasbourg University Hospital, Strasbourg, France
| | - Aissam Labani
- Department of Radiology, Strasbourg University Hospital, Strasbourg, France
| | - Thibaut Fabacher
- Department of Biostatistics, Strasbourg University Hospital, Strasbourg, France
| | - Pascal Bilbault
- Department of Emergency Medicine, Strasbourg University Hospital, Strasbourg, France
| | - Sabrina Kepka
- Department of Emergency Medicine, Strasbourg University Hospital, Strasbourg, France
| | - Morgane Solis
- Department of Virology, Strasbourg University Hospital, Strasbourg, France
| | - Valentin Greigert
- Department of Infectious Disease, Strasbourg University Hospital, Strasbourg, France
| | - Nicolas Lefebvre
- Department of Infectious Disease, Strasbourg University Hospital, Strasbourg, France
| | - Yves Hansmann
- Department of Infectious Disease, Strasbourg University Hospital, Strasbourg, France
| | - François Danion
- Department of Infectious Disease, Strasbourg University Hospital, Strasbourg, France
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Agostini A, Floridi C, Borgheresi A, Badaloni M, Esposto Pirani P, Terilli F, Ottaviani L, Giovagnoni A. Proposal of a low-dose, long-pitch, dual-source chest CT protocol on third-generation dual-source CT using a tin filter for spectral shaping at 100 kVp for CoronaVirus Disease 2019 (COVID-19) patients: a feasibility study. Radiol Med 2020; 125:365-73. [PMID: 32239472 DOI: 10.1007/s11547-020-01179-x] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 03/18/2020] [Indexed: 02/06/2023]
Abstract
Aim To subjectively and objectively evaluate the feasibility and diagnostic reliability of a low-dose, long-pitch dual-source chest CT protocol on third-generation dual-source CT (DSCT) with spectral shaping at 100Sn kVp for COVID-19 patients. Materials and methods Patients with COVID-19 and positive swab-test undergoing to a chest CT on third-generation DSCT were included. The imaging protocol included a dual-energy acquisition (HD-DECT, 90/150Sn kVp) and fast, low-dose, long-pitch CT, dual-source scan at 100Sn kVp (LDCT). Subjective (Likert Scales) and objective (signal-to-noise and contrast-to-noise ratios, SNR and CNR) analyses were performed; radiation dose and acquisition times were recorded. Nonparametric tests were used. Results The median radiation dose was lower for LDCT than HD-DECT (Effective dose, ED: 0.28 mSv vs. 3.28 mSv, p = 0.016). LDCT had median acquisition time of 0.62 s (vs 2.02 s, p = 0.016). SNR and CNR were significantly different in several thoracic structures between HD-DECT and LDCT, with exception of lung parenchyma. Qualitative analysis demonstrated significant reduction in motion artifacts (p = 0.031) with comparable diagnostic reliability between HD-DECT and LDCT. Conclusions Ultra-low-dose, dual-source, fast CT protocol provides highly diagnostic images for COVID-19 with potential for reduction in dose and motion artifacts.
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Si-Mohamed S, Moreau-Triby C, Tylski P, Tatard-Leitman V, Wdowik Q, Boccalini S, Dessouky R, Douek P, Boussel L. Head-to-head comparison of lung perfusion with dual-energy CT and SPECT-CT. Diagn Interv Imaging 2020; 101:299-310. [PMID: 32173289 DOI: 10.1016/j.diii.2020.02.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 02/10/2020] [Accepted: 02/11/2020] [Indexed: 02/06/2023]
Abstract
PURPOSE To compare the quantitative and qualitative lung perfusion data acquired with dual energy CT (DECT) to that acquired with a large field-of-view cadmium-zinc-telluride camera single-photon emission CT coupled to a CT system (SPECT-CT). MATERIALS AND METHODS A total of 53 patients who underwent both dual-layer DECT angiography and perfusion SPECT-CT for pulmonary hypertension or pre-operative lobar resection surgery were retrospectively included. There were 30 men and 23 women with a mean age of 65.4±17.5 (SD)years (range: 18-88years). Relative lobar perfusion was calculated by dividing the amount (of radiotracer or iodinated contrast agent) per lobe by the total amount in both lungs. Linear regression, Bland-Altman analysis, and Pearson's correlation coefficient were also calculated. Kappa test was used to test agreements in morphology and severity of perfusion defects assessed on SPECT-CT and on DECT iodine maps with a one-month interval. Wilcoxon rank sum test was used to compare the sharpness of perfusion defects and radiation dose among modalities. RESULTS Strong correlations for relative lobar perfusion using linear regression analysis and Pearson's correlation coefficient (r=0.93) were found. Bland-Altman analysis revealed a -0.10 bias, with limits of agreement between [-6.01; 5.81]. With respect to SPECT- CT as standard of reference, the sensitivity, specificity, PPV, NPV, accuracy for lobar perfusion defects were 89.4% (95%
CI: 82.6-93.4%), 96.5% (95% CI: 92.1-98.5%), 95.6% (95% CI:
90.9-97.8%), 91.4% (95% CI: 85.6-94.9%) and 93.0% (95% CI:
87.6-96.1%) respectively. High level of agreement was found for morphology and severity of perfusion defects between modalities (Kappa=0.84 and 0.86 respectively) and on DECT images among readers (Kappa=0.94 and 0.89 respectively). A significantly sharper delineation of perfusion defects was found on DECT images (P<0.0001) using a significantly lower equivalent dose of 4.1±2.3 (SD) mSv (range: 1.9-11.85mSv) compared to an equivalent dose of 5.3±1.1 (SD) mSv (range: 2.8-7.3mSv) for SPECT-CT, corresponding to a 21.2% dose reduction (P=0.0004). CONCLUSION DECT imaging shows strong quantitative correlations and qualitative agreements with SPECT-CT for the evaluation of lung perfusion.
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Affiliation(s)
- S Si-Mohamed
- Department of Radiology, Hospices Civils de Lyon, 69500 Bron, France; Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, 69621 Lyon, France.
| | - C Moreau-Triby
- Department of Nuclear Medicine, Hospices Civils de Lyon, 69500 Bron, France
| | - P Tylski
- Medical Physics and Radioprotection, Hospices Civils de Lyon, 69500 Bron, France
| | - V Tatard-Leitman
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, 69621 Lyon, France
| | - Q Wdowik
- Department of Radiology, Hospices Civils de Lyon, 69500 Bron, France
| | - S Boccalini
- Department of Radiology, Hospices Civils de Lyon, 69500 Bron, France
| | - R Dessouky
- Department of Radiology, Faculty of Medicine, Zagazig University, 44519 Zagazig, Egypt
| | - P Douek
- Department of Radiology, Hospices Civils de Lyon, 69500 Bron, France; Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, 69621 Lyon, France
| | - L Boussel
- Department of Radiology, Hospices Civils de Lyon, 69500 Bron, France; Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, 69621 Lyon, France
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Martini K, Moon JW, Revel MP, Dangeard S, Ruan C, Chassagnon G. Optimization of acquisition parameters for reduced-dose thoracic CT: A phantom study. Diagn Interv Imaging 2020; 101:269-279. [PMID: 32107196 DOI: 10.1016/j.diii.2020.01.012] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 01/23/2020] [Accepted: 01/28/2020] [Indexed: 02/06/2023]
Abstract
PURPOSE The purpose of this study was to analyze the impact of different options for reduced-dose computed tomography (CT) on image noise and visibility of pulmonary structures in order to define the best choice of parameters when performing ultra-low dose acquisitions of the chest in clinical routine. MATERIALS AND METHODS Using an anthropomorphic chest phantom, CT images were acquired at four defined low dose levels (computed tomography dose index [CTDIvol]=0.15, 0.20, 0.30 and 0.40mGy), by changing tube voltage, pitch factor, or rotation time and adapting tube current to reach the predefined CTDIvol-values. Images were reconstructed using two different levels of iteration (adaptive statistical iterative reconstruction [ASIR®]-v70% and ASIR®-v100%). Signal-to-noise ratio (SNR) as well as contrast-to-noise ratio (CNR) was calculated. Visibility of pulmonary structures (bronchi/vessels) were assessed by two readers on a 5-point-Likert scale. RESULTS Best visual image assessments and CNR/SNR were obtained with high tube voltage, while lowest scores were reached with lower pitch factor followed by high tube current. Protocols favoring lower pitch factor resulted in decreased visibility of bronchi/vessels, especially in the periphery. Decreasing radiation dose from 0.40 to 0.30mGy was not associated with a significant decrease in visual scores (P<0.05), however decreasing radiation dose from 0.30mGy to 0.15mGy was associated with a lower visibility of most of the evaluated structures (P<0.001). While image noise could be significantly reduced when ASIR®-v100% instead of ASIR®-v70% was used, the visibility-scores of pulmonary structures did not change significantly. CONCLUSION Favoring high tube voltage is the best option for reduced-dose protocols. A decrease of SNR and CNR does not necessarily go along with reduced visibility of pulmonary structures.
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Affiliation(s)
- K Martini
- Department of Radiology, Cochin Hospital, AP-HP Centre, 75014 Paris, France; Diagnostic and Interventional Radiology, University Hospital Zurich, 8008 Zurich, Switzerland
| | - J W Moon
- Department of Radiology, Cochin Hospital, AP-HP Centre, 75014 Paris, France
| | - M P Revel
- Department of Radiology, Cochin Hospital, AP-HP Centre, 75014 Paris, France; Université de Paris, Descartes-Paris 5, 75006 Paris, France
| | - S Dangeard
- Department of Radiology, Cochin Hospital, AP-HP Centre, 75014 Paris, France
| | - C Ruan
- General Electric Healthcare, 78530 Buc, France
| | - G Chassagnon
- Department of Radiology, Cochin Hospital, AP-HP Centre, 75014 Paris, France; Université de Paris, Descartes-Paris 5, 75006 Paris, France; Center for Visual Computing, École Centrale Supelec, 91190 Gif-sur-Yvette, France.
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19
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Martini K, Loubet A, Bankier A, Bouam S, Morand P, Cassagnes L, Revel MP, Chassagnon G. Nodular reverse halo sign in active pulmonary tuberculosis: A rare CT feature? Diagn Interv Imaging 2020; 101:281-287. [PMID: 32057699 DOI: 10.1016/j.diii.2020.01.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 01/17/2020] [Accepted: 01/21/2020] [Indexed: 11/17/2022]
Abstract
PURPOSE The purpose of this study was to investigate the prevalence of the nodular reverse halo sign (NRHS) in chest computed tomography (CT) in patients with active pulmonary tuberculosis. MATERIALS AND METHODS From March 2018 to March 2019, 29 consecutive patients with a culture-confirmed active pulmonary tuberculosis and who underwent chest CT examination during hospital-admission were retrospectively included in the study. There were 24 men and 5 women with a mean age of 40.9±16.7 (SD) years (range: 18-80years). Chest CT examinations of included patients were evaluated for the presence of NRHS and other tuberculosis-related CT signs. RESULTS CT revealed the NRHS in 5 patients (5/29; 17%). The other CT signs of tuberculosis included consolidations in 18 patients (18/29; 62%), tree-in-bud pattern in 14 patients (14/29; 48%), cavitation in 12 patients (12/29; 41%), sparse nodules in 10 patients (10/29; 34%), and pleural effusion in 8 patients (8/29; 28%). CONCLUSION CT shows NRHS in 17% of patients with active pulmonary tuberculosis, indicating that the sign is not as rare as previously thought in patients with this condition.
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Affiliation(s)
- K Martini
- Department of Radiology, Cochin Hospital, 75014 Paris, France; Diagnostic and Interventional Radiology, University Hospital Zurich, 8091 Zürich, Switzerland
| | - A Loubet
- Department of Radiology, Cochin Hospital, 75014 Paris, France
| | - A Bankier
- Department of Radiology, Beth Israel Deaconess Medical Center, MA 02215, USA
| | - S Bouam
- Department of Medical informatics, Cochin Hospital, 75014 Paris, France
| | - P Morand
- Microbiology Department, Cochin Hospital, 75014 Paris, France
| | - L Cassagnes
- Department of Radiology, CHU Gabriel-Montpied, Institut Pascal, UMR6602 CNRS SIGMA, 63000 Clermont-Ferrand, France
| | - M-P Revel
- Department of Radiology, Cochin Hospital, 75014 Paris, France; Université de Paris, 75006 Paris, France.
| | - G Chassagnon
- Department of Radiology, Cochin Hospital, 75014 Paris, France; Université de Paris, 75006 Paris, France
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Meyer E, Labani A, Schaeffer M, Jeung MY, Ludes C, Meyer A, Roy C, Leyendecker P, Ohana M. Wide-volume versus helical acquisition in unenhanced chest CT: prospective intra-patient comparison of diagnostic accuracy and radiation dose in an ultra-low-dose setting. Eur Radiol 2019; 29:6858-6866. [PMID: 31175414 DOI: 10.1007/s00330-019-06278-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 04/15/2019] [Accepted: 05/17/2019] [Indexed: 12/19/2022]
Abstract
OBJECTIVES Diagnostic performance and potential radiation dose reduction of wide-area detector CT sequential acquisition ("wide-volume" acquisition (WV)) in unenhanced chest examination are unknown. This study aims to assess the image quality, the diagnostic performance, and the radiation dose reduction of WV mode compared with the classical helical acquisition for lung parenchyma analysis in an ultra-low-dose (ULD) protocol. METHODS After Institutional Review Board Approval and written informed consent, 64 patients (72% men; 67.6 ± 9.7 years old; BMI 26.1 ± 5.3 kg/m2) referred for a clinically indicated unenhanced chest CT were prospectively included. All patients underwent, in addition to a standard helical acquisition (120 kV, automatic tube current modulation), two ULD acquisitions (135 kV, fixed tube current at 10 mA): one in helical mode and one in WV mode. Image noise, subjective image quality (5-level Likert scale), and diagnostic performance for the detection of 9 predetermined parenchymal abnormalities were assessed by two radiologists and compared using the chi-square or Fisher non-parametric tests. RESULTS Subjective image quality (4.2 ± 0.7 versus 4.2 ± 0.8, p = 0.56), image noise (41.7 ± 8 versus 40.9 ± 8.7, p = 0.3), and diagnostic performance were equivalent between ULD WV and ULD helical. Radiation dose was significantly lower for the ULD WV acquisition (mean dose-length product 14.1 ± 1.3 mGy cm versus 15.8 ± 1.3, p < 0.0001). CONCLUSION An additional 11% dose reduction is achieved with the WV mode in ULD chest CT with fixed tube current, with equivalent image quality and diagnostic performance when compared with the helical acquisition. KEY POINTS • Image quality and diagnostic performance of ultra-low-dose unenhanced chest CT are identical between wide-volume mode and the reference helical acquisition. • Wide-volume mode allows an additional radiation dose reduction of 11% (mean dose-length product 14.1 ± 1.3 mGy cm versus 15.8 ± 1.3, p < 0.0001).
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Affiliation(s)
- Elsa Meyer
- Radiology Department, Nouvel Hôpital Civil, 1 place de l'Hôpital, 67000, Strasbourg, France
| | - Aissam Labani
- Radiology Department, Nouvel Hôpital Civil, 1 place de l'Hôpital, 67000, Strasbourg, France
| | - Mickaël Schaeffer
- Radiology Department, Nouvel Hôpital Civil, 1 place de l'Hôpital, 67000, Strasbourg, France
| | - Mi-Young Jeung
- Radiology Department, Nouvel Hôpital Civil, 1 place de l'Hôpital, 67000, Strasbourg, France
| | - Claire Ludes
- Radiology Department, Nouvel Hôpital Civil, 1 place de l'Hôpital, 67000, Strasbourg, France
| | - Alain Meyer
- Physiology Department, Nouvel Hôpital Civil, 1 place de l'Hôpital, 67000, Strasbourg, France
| | - Catherine Roy
- Radiology Department, Nouvel Hôpital Civil, 1 place de l'Hôpital, 67000, Strasbourg, France
| | - Pierre Leyendecker
- Radiology Department, Nouvel Hôpital Civil, 1 place de l'Hôpital, 67000, Strasbourg, France
| | - Mickaël Ohana
- Radiology Department, Nouvel Hôpital Civil, 1 place de l'Hôpital, 67000, Strasbourg, France. .,ICube Laboratory, 300 Boulevard Sébastien Brandt, 67400, Illkirch Graffenstaden, France.
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