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Bocquet W, Bouzerar R, François G, Leleu A, Renard C. Detection of Pulmonary Nodules on Ultra-low Dose Chest Computed Tomography With Deep-learning Image Reconstruction Algorithm. J Thorac Imaging 2024:00005382-990000000-00152. [PMID: 39267547 DOI: 10.1097/rti.0000000000000806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/17/2024]
Abstract
PURPOSE To evaluate the accuracy of ultra-low dose (ULD) chest computed tomography (CT), with a radiation exposure equivalent to a 2-view chest x-ray, for pulmonary nodule detection using deep learning image reconstruction (DLIR). MATERIAL AND METHODS This prospective cross-sectional study included 60 patients referred to our institution for assessment or follow-up of solid pulmonary nodules. All patients underwent low-dose (LD) and ULD chest CT within the same examination session. LD CT data were reconstructed using Adaptive Statistical Iterative Reconstruction-V (ASIR-V), whereas ULD CT data were reconstructed using DLIR and ASIR-V. ULD CT images were reviewed by 2 readers and LD CT images were reviewed by an experienced thoracic radiologist as the reference standard. Quantitative image quality analysis was performed, and the detectability of pulmonary nodules was assessed according to their size and location. RESULTS The effective radiation dose for ULD CT and LD CT were 0.13±0.01 and 1.16±0.6 mSv, respectively. Over the whole population, LD CT revealed 733 nodules. At ULD, DLIR images significantly exhibited better image quality than ASIR-V images. The overall sensitivity of DLIR reconstruction for the detection of solid pulmonary nodules from the ULD CT series was 93% and 82% for the 2 readers, with a good to excellent agreement with LD CT (ICC=0.82 and 0.66, respectively). The best sensitivities were observed in the middle lobe (97% and 85%, respectively). CONCLUSIONS At ULD, DLIR reconstructions, with minimal radiation exposure that could facilitate large-scale screening, allow the detection of pulmonary nodules with high sensitivity in an unrestricted BMI population.
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Affiliation(s)
| | | | - Géraldine François
- Department of Pneumology and Transplantation, Amiens University Hospital, Amiens, France
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Delpon JE, Greffier J, Lacombe H, Barbe A, Bouin M, De Oliveira F, Mansuy A, Delagrange L, Fargeton AE, Beregi JP, Cottin V, Dupuis-Girod S, Si-Mohamed SA. Ultra-low dose chest CT for the diagnosis of pulmonary arteriovenous malformation in patients with hereditary hemorrhagic telangiectasia. Diagn Interv Imaging 2024:S2211-5684(24)00082-2. [PMID: 38604894 DOI: 10.1016/j.diii.2024.03.006] [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: 03/21/2024] [Accepted: 03/26/2024] [Indexed: 04/13/2024]
Abstract
PURPOSE The purpose of this study was to compare ultra-low dose (ULD) and standard low-dose (SLD) chest computed tomography (CT) in terms of radiation exposure, image quality and diagnostic value for diagnosing pulmonary arteriovenous malformation (AVM) in patients with hereditary hemorrhagic telangiectasia (HHT). MATERIALS AND METHODS In this prospective board-approved study consecutive patients with HHT referred to a reference center for screening and/or follow-up chest CT examination were prospectively included from December 2020 to January 2022. Patients underwent two consecutive non-contrast chest CTs without dose modulation (i.e., one ULD protocol [80 kVp or 100 kVp, CTDIvol of 0.3 mGy or 0.6 mGy] and one SLD protocol [140 kVp, CTDIvol of 1.3 mGy]). Objective image noises measured at the level of tracheal carina were compared between the two protocols. Overall image quality and diagnostic confidence were scored on a 4-point Likert scale (1 = insufficient to 4 = excellent). Sensitivity, specificity, positive predictive value and negative predictive value of ULD CT for diagnosing pulmonary AVM with a feeding artery of over 2 mm in diameter were calculated along with their 95% confidence intervals (CI) using SLD images as the standard of reference. RESULTS A total of 44 consecutive patients with HHT (31 women; mean age, 42 ± 16 [standard deviation (SD)] years; body mass index, 23.2 ± 4.5 [SD] kg/m2) were included. Thirty-four pulmonary AVMs with a feeding artery of over 2 mm in diameter were found with SLD images versus 35 with ULD images. Sensitivity, specificity, predictive positive value, and predictive negative value of ULD CT for the diagnosis of PAVM were 100% (34/34; 95% CI: 90-100), 96% (18/19; 95% CI: 74-100), 97% (34/35; 95% CI: 85-100) and 100% (18/18; 95% CI: 81-100), respectively. A significant difference in diagnostic confidence scores was found between ULD (3.8 ± 0.4 [SD]) and SLD (3.9 ± 0.1 [SD]) CT images (P = 0.03). No differences in overall image quality scores were found between ULD CT examinations (3.9 ± 0.2 [SD]) and SLD (4 ± 0 [SD]) CT examinations (P = 0.77). Effective radiation dose decreased significantly by 78.8% with ULD protocol, with no significant differences in noise values between ULD CT images (16.7 ± 5.0 [SD] HU) and SLD images (17.7 ± 6.6 [SD] HU) (P = 0.07). CONCLUSION ULD chest CT provides 100% sensitivity and 96% specificity for the diagnosis of treatable pulmonary AVM with a feeding artery of over 2 mm in diameter, leading to a 78.8% dose-saving compared with a standard low-dose protocol.
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Affiliation(s)
- Jean-Etienne Delpon
- Department of Radiology, Hôpital Louis Pradel, Hospices Civils de Lyon, 69677, Bron, France
| | - Joel Greffier
- Department of Radiology, CHU Nîmes, University Montpellier, Medical Imaging Group Nîmes, 30029 Nîmes, France
| | - Hugo Lacombe
- Université de Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, INSERM, CREATIS UMR 5220, U1206, 69100 Villeurbanne, France; CT Clinical Science, Philips, 92150 Suresnes, France
| | - Apolline Barbe
- Imaging Department, Cellule Recherche en Imagerie, Hospices Civils de Lyon, 69677 Bron, France
| | - Morgane Bouin
- Imaging Department, Cellule Recherche en Imagerie, Hospices Civils de Lyon, 69677 Bron, France
| | - Fabien De Oliveira
- Department of Radiology, Hôpital Louis Pradel, Hospices Civils de Lyon, 69677, Bron, France; Department of Radiology, CHU Nîmes, University Montpellier, Medical Imaging Group Nîmes, 30029 Nîmes, France
| | - Adeline Mansuy
- Imaging Department, Cellule Recherche en Imagerie, Hospices Civils de Lyon, 69677 Bron, France
| | - Laura Delagrange
- Imaging Department, Cellule Recherche en Imagerie, Hospices Civils de Lyon, 69677 Bron, France
| | - Anne-Emmanuelle Fargeton
- Department of Genetics and Centre National de Référence pour la Maladie de Rendu-Osler, Hôpital Femme-Mère-Enfants, Hospices Civils de Lyon, 69677 Bron, France
| | - Jean-Paul Beregi
- Department of Radiology, CHU Nîmes, University Montpellier, Medical Imaging Group Nîmes, 30029 Nîmes, France
| | - Vincent Cottin
- National Reference Center for Rare Pulmonary Diseases, Louis Pradel Hospital, Hospices Civils de Lyon, Claude Bernard University Lyon, INRAE, ERN-LUNG, Lyon, France
| | - Sophie Dupuis-Girod
- Department of Genetics and Centre National de Référence pour la Maladie de Rendu-Osler, Hôpital Femme-Mère-Enfants, Hospices Civils de Lyon, 69677 Bron, France
| | - Salim Aymeric Si-Mohamed
- Department of Radiology, Hôpital Louis Pradel, Hospices Civils de Lyon, 69677, Bron, France; Université de Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, INSERM, CREATIS UMR 5220, U1206, 69100 Villeurbanne, France.
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Wassipaul C, Janata-Schwatczek K, Domanovits H, Tamandl D, Prosch H, Scharitzer M, Polanec S, Schernthaner RE, Mang T, Asenbaum U, Apfaltrer P, Cacioppo F, Schuetz N, Weber M, Homolka P, Birkfellner W, Herold C, Ringl H. Ultra-low-dose CT vs. chest X-ray in non-traumatic emergency department patients - a prospective randomised crossover cohort trial. EClinicalMedicine 2023; 65:102267. [PMID: 37876998 PMCID: PMC10590727 DOI: 10.1016/j.eclinm.2023.102267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 09/25/2023] [Accepted: 09/25/2023] [Indexed: 10/26/2023] Open
Abstract
Background Ultra-low-dose CT (ULDCT) examinations of the chest at only twice the radiation dose of a chest X-ray (CXR) now offer a valuable imaging alternative to CXR. This trial prospectively compares ULDCT and CXR for the detection rate of diagnoses and their clinical relevance in a low-prevalence cohort of non-traumatic emergency department patients. Methods In this prospective crossover cohort trial, 294 non-traumatic emergency department patients with a clinically indicated CXR were included between May 2nd and November 26th of 2019 (www.clinicaltrials.gov: NCT03922516). All participants received both CXR and ULDCT, and were randomized into two arms with inverse reporting order. The detection rate of CXR was calculated from 'arm CXR' (n = 147; CXR first), and of ULDCT from 'arm ULDCT' (n = 147; ULDCT first). Additional information reported by the second exam in each arm was documented. From all available clinical and imaging data, expert radiologists and emergency physicians built a compound reference standard, including radiologically undetectable diagnoses, and assigned each finding to one of five clinical relevance categories for the respective patient. Findings Detection rates for main diagnoses by CXR and ULDCT (mean effective dose: 0.22 mSv) were 9.1% (CI [5.2, 15.5]; 11/121) and 20.1% (CI [14.2, 27.7]; 27/134; P = 0.016), respectively. As an additional imaging modality, ULDCT added 9.1% (CI [5.2, 15.5]; 11/121) of main diagnoses to prior CXRs, whereas CXRs did not add a single main diagnosis (0/134; P < 0.001). Notably, ULDCT also offered higher detection rates than CXR for all other clinical relevance categories, including findings clinically irrelevant for the respective emergency department visit with 78.5% (CI [74.0, 82.5]; 278/354) vs. 16.2% (CI [12.7, 20.3]; 58/359) as a primary modality and 68.2% (CI [63.3, 72.8]; 245/359) vs. 2.5% (CI [1.3, 4.7]; 9/354) as an additional imaging modality. Interpretation In non-traumatic emergency department patients, ULDCT of the chest offered more than twice the detection rate for main diagnoses compared to CXR. Funding The Department of Biomedical Imaging and Image-guided Therapy of Medical University of Vienna received funding from Siemens Healthineers (Erlangen, Germany) to employ two research assistants for one year.
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Affiliation(s)
- Christian Wassipaul
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
| | | | - Hans Domanovits
- Department of Emergency Medicine, Medical University of Vienna, Austria
| | - Dietmar Tamandl
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
| | - Helmut Prosch
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
| | - Martina Scharitzer
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
| | | | - Ruediger E. Schernthaner
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
- Department of Diagnostic and Interventional Radiology, Clinic Landstrasse, Vienna Healthcare Group, Austria
| | - Thomas Mang
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
| | - Ulrika Asenbaum
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
| | - Paul Apfaltrer
- Department of Radiology, Medical University of Graz, Austria
| | - Filippo Cacioppo
- Department of Emergency Medicine, Medical University of Vienna, Austria
| | - Nikola Schuetz
- Department of Emergency Medicine, Medical University of Vienna, Austria
| | - Michael Weber
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
| | - Peter Homolka
- Centre for Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria
| | - Wolfgang Birkfellner
- Centre for Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria
| | - Christian Herold
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
| | - Helmut Ringl
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
- Department of Diagnostic and Interventional Radiology, Clinic Donaustadt, Vienna Healthcare Group, Austria
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Wei W, Wang SG, Zhang JY, Togn XY, Li BB, Fang X, Pu RW, Zhou YJ, Liu YJ. Implementation of Individualized Low-Dose Computed Tomography-Guided Hook Wire Localization of Pulmonary Nodules: Feasibility and Safety in the Clinical Setting. Diagnostics (Basel) 2023; 13:3235. [PMID: 37892056 PMCID: PMC10606229 DOI: 10.3390/diagnostics13203235] [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: 08/04/2023] [Revised: 10/06/2023] [Accepted: 10/13/2023] [Indexed: 10/29/2023] Open
Abstract
Background: CT-guided hook-wire localization is an essential step in the management of small pulmonary nodules. Few studies, however, have focused on reducing radiation exposure during the procedure. Purpose: This study aims to explore the feasibility of implementing a low-dose computed tomography (CT)-guided hook wire localization using tailored kVp based on patients' body size. Materials and Methods: A total of 151 patients with small pulmonary nodules were prospectively enrolled for CT-guided hook wire localization using individualized low-dose CT (LDCT) vs. standard-dose CT (SDCT) protocols. Radiation dose, image quality, characteristics of target nodules and procedure-related variables were compared. All variables were analyzed using Chi-Square and Student's t-test. Results: The mean CTDIvol was significantly reduced for LDCT (for BMI ≤ 21 kg/m2, 0.56 ± 0.00 mGy and for BMI > 21 kg/m2, 1.48 ± 0.00 mGy) when compared with SDCT (for BMI ≤ 21 kg/m2, 5.24 ± 0.95 mGy and for BMI > 21 kg/m2, 6.69 ± 1.47 mGy). Accordingly, the DLP of LDCT was significantly reduced as compared with that of SDCT (for BMI ≤ 21 kg/m2, 56.86 ± 4.73 vs. 533.58 ± 122.06 mGy.cm, and for BMI > 21 kg/m2, 167.02 ± 38.76 vs. 746.01 ± 230.91 mGy.cm). In comparison with SDCT, the effective dose (ED) of LDCT decreased by an average of 89.42% (for BMI ≤ 21 kg/m2) and 77.68% (for BMI > 21 kg/m2), respectively. Although the images acquired with the LDCT protocol yielded inferior quality to those acquired with the SDCT protocol, they were clinically acceptable for hook wire localization. Conclusions: LDCT-guided localization can provide safety and nodule detection performance comparable to SDCT-guided localization, benefiting radiation dose reduction dramatically, especially for patients with small body mass indexes.
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Affiliation(s)
| | | | | | | | | | | | | | - Yu-Jing Zhou
- Correspondence: (Y.-J.Z.); (Y.-J.L.); Tel.: +86-180-9887-7000 (Y.J.-L.)
| | - Yi-Jun Liu
- Correspondence: (Y.-J.Z.); (Y.-J.L.); Tel.: +86-180-9887-7000 (Y.J.-L.)
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Mussmann B, Skov PM, Lorentzen MH, Skjøt-Arkil H, Graumann O, Andersen MB, Jensen J. Ultra-low-dose emergency chest computed tomography protocols in three vendors: A technical note. Acta Radiol Open 2023; 12:20584601231183900. [PMID: 37546523 PMCID: PMC10403988 DOI: 10.1177/20584601231183900] [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: 09/20/2022] [Accepted: 06/05/2023] [Indexed: 08/08/2023] Open
Abstract
Background In suspected community-acquired pneumonia (CAP), chest CT is superior to the routinely obtained radiographs (CXR), but administers higher radiation doses. However, ultra-low-dose CT (ULDCT) has shown promising results. Purpose To compare radiation dose and image quality using standard and ULDCT protocols designed for a multicenter study encompassing three CT scanner models from GE, Canon, and Siemens. Material and methods Patients with suspected CAP were referred for non-contrast standard dose chest CT (NCCT) and ULDCT. Effective radiation dose and Contrast-to-Noise Ratio (CNR) was calculated. Results Mean effective doses were GE (n = 10) 6.93 mSv in NCCT and 0.27 mSv in ULDCT; Canon (n = 9) 3.48 in mSv NCCT and 1.11 mSv in ULDCT; Siemens (n = 10) 2.85 mSv in NCCT and 0.45 mSv in ULDCT. CNR was reduced by 29-39% in ULDCT. Conclusion The proposed CT protocols yielded dose reductions of 96%, 68%, and 84% using a GE, Canon, and Siemens scanner, respectively.
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Affiliation(s)
- Bo Mussmann
- Department of Radiology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Peter Marshall Skov
- Department of Radiology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Morten H Lorentzen
- Department of Emergency Medicine, University Hospital of Southern Denmark, Odense, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Helene Skjøt-Arkil
- Department of Emergency Medicine, University Hospital of Southern Denmark, Odense, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Ole Graumann
- Department of Radiology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | | | - Janni Jensen
- Department of Radiology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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Task-Based Image Quality Assessment Comparing Classical and Iterative Cone Beam CT Images on Halcyon ®. Diagnostics (Basel) 2023; 13:diagnostics13030448. [PMID: 36766553 PMCID: PMC9914039 DOI: 10.3390/diagnostics13030448] [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: 12/12/2022] [Revised: 01/10/2023] [Accepted: 01/14/2023] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Despite the development of iterative reconstruction (IR) in diagnostic imaging, CBCT are generally reconstructed with filtered back projection (FBP) in radiotherapy. Varian medical systems, recently released with their latest Halcyon® V2.0 accelerator, a new IR algorithm for CBCT reconstruction. PURPOSE To assess the image quality of radiotherapy CBCT images reconstructed with FBP and an IR algorithm. METHODS Three CBCT acquisition modes (head, thorax and pelvis large) available on a Halcyon® were assessed. Five acquisitions were performed for all modes on an image quality phantom and reconstructed with FBP and IR. Task-based image quality assessment was performed with noise power spectrum (NPS), task-based transfer function (TTF) and detectability index (d'). To illustrate the image quality obtained with both reconstruction types, CBCT acquisitions were made on 6 patients. RESULTS The noise magnitude and the spatial frequency of the NPS peak was lower with IR than with FBP for all modes. For all low and high-contrast inserts, the values for TTF at 50% were higher with IR than with FBP. For all inserts and all modes, the contrast values were similar with FBP and IR. For all low and high-contrast simulated lesions, d' values were higher with IR than with FBP for all modes. These results were also found on the 6 patients where the images were less noisy but smoother with IR-CBCT. CONCLUSIONS Using the IR algorithm for CBCT images in radiotherapy improve image quality and thus could increase the accuracy of online registration and limit positioning errors during processing.
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Uemura R, Nagatani Y, Hashimoto M, Oshio Y, Sonoda A, Otani H, Hanaoka J, Watanabe Y. Association of Respiratory Functional Indices and Smoking with Pleural Movement and Mean Lung Density Assessed Using Four-Dimensional Dynamic-Ventilation Computed Tomography in Smokers and Patients with COPD. Int J Chron Obstruct Pulmon Dis 2023; 18:327-339. [PMID: 36945706 PMCID: PMC10024907 DOI: 10.2147/copd.s389075] [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: 10/01/2022] [Accepted: 02/02/2023] [Indexed: 03/17/2023] Open
Abstract
Purpose To correlate the ratio of the non-dependent to dependent aspects of the maximal pleural movement vector (MPMVND/D) and gravity-oriented collapse ratio (GCRND/D), and the mean lung field density (MLD) obtained using four-dimensional (4D) dynamic-ventilation computed tomography (DVCT) with airflow limitation parameters and the Brinkman index. Materials and Methods Forty-seven patients, including 22 patients with COPD, 13 non-COPD smokers, and 12 non-smokers, with no/slight pleural adhesion confirmed using a thoracoscope, underwent 4D-DVCT with 16 cm coverage. Coordinates for the lung field center, as well as ventral and dorsal pleural points, set on the central trans-axial levels in the median and para-median sagittal planes at end-inspiration, were automatically measured (13-17 frame images, 0.35 seconds/frame). MPMVND/D and GCRND/D were calculated based on MPMV and GCR values for all the included points and the lung field center. MLD was automatically measured in each of the time frames, and the maximal change ratio of MLD (MLDCR) was calculated. These measured values were compared among COPD patients, non-COPD smokers, and non-smokers, and were correlated with the Brinkman index, FEV1/FVC, FEV1 predicted, RV/TLC, and FEF25-75% using Spearman's rank coefficients. Results MPMVND/D was highest in non-smokers (0.819±0.464), followed by non-COPD smokers (0.405±0.131) and patients with COPD (-0.219±0.900). GCRND/D in non-smokers (1.003±1.384) was higher than that in patients with COPD (-0.164±1.199). MLDCR in non-COPD smokers (0.105±0.028) was higher than that in patients with COPD (0.078±0.027). MPMVND/D showed positive correlations with FEV1 predicted (r=0.397, p=0.006), FEV1/FVC (r=0.501, p<0.001), and FEF25-75% (r=0.368, p=0.012). GCRND/D also demonstrated positive correlations with FEV1 (r=0.397, p=0.006), FEV1/FVC (r=0.445, p=0.002), and FEF25-75% (r=0.371, p=0.011). MPMVND/D showed a negative correlation with the Brinkman index (r=-0.398, p=0.006). Conclusion We demonstrated that reduced MPMVND/D and GCRND/D were associated with respiratory functional indices, in addition to a negative association of MPMVND/D with the Brinkman index, which should be recognized when assessing local pleural adhesion on DVCT, especially for ventral pleural aspects.
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Affiliation(s)
- Ryo Uemura
- Department of Radiology, Shiga University of Medical Science, Otsu, Shiga, Japan
- Correspondence: Ryo Uemura; Yukihiro Nagatani, Department of Radiology, Shiga University of Medical Science, Seta-tsukinowa-cho, Otsu, Shiga, Japan, 520-2192, Tel/Fax +81-77-548-2536, Email ;
| | - Yukihiro Nagatani
- Department of Radiology, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Masayuki Hashimoto
- Department of Thoracic Surgery, Kyoto Medical Center, Kyoto, Kyoto, Japan
- Division of General Thoracic Surgery, Department of Surgery, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Yasuhiko Oshio
- Division of General Thoracic Surgery, Department of Surgery, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Akinaga Sonoda
- Department of Radiology, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Hideji Otani
- Department of Radiology, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Jun Hanaoka
- Division of General Thoracic Surgery, Department of Surgery, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Yoshiyuki Watanabe
- Department of Radiology, Shiga University of Medical Science, Otsu, Shiga, Japan
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Greffier J, Barbotteau Y, Gardavaud F. iQMetrix-CT: New software for task-based image quality assessment of phantom CT images. Diagn Interv Imaging 2022; 103:555-562. [DOI: 10.1016/j.diii.2022.05.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 05/27/2022] [Indexed: 01/09/2023]
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Frandon J, Akessoul P, Hamard A, Bezandry E, Loffroy R, Addala T, Bertrand MM, Beregi JP, Greffier J. Comparison of acquisition and iterative reconstruction parameters in abdominal computed tomography-guided procedures: a phantom study. Quant Imaging Med Surg 2022; 12:281-291. [PMID: 34993078 DOI: 10.21037/qims-21-328] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 06/21/2021] [Indexed: 11/06/2022]
Abstract
BACKGROUND Many computed tomography (CT) navigation systems have been developed to help radiologists improve the accuracy and safety of the procedure. We evaluated the accuracy of one CT computer-assisted guided procedure with different reduction dose protocols. METHODS A total of 128 punctures were randomly made by two operators on two different anthropomorphic phantoms. The tube voltage was fixed to 100 kVp. Tube currents (mAs) were defined to obtain 4 dose levels: 180 mAs (D1.00), 90 mAs (D0.50), 45 mAs (D0.25) and 15 mAs (D0.10) with respective volume CT dose index (CTDIvol) of 7.02, 3.52, 1.75 and 0.59 mGy. The raw data were reconstructed using level 2 of advanced model-based iterative reconstruction (ADMIRE) (A2) for D1.00, A3 for D0.50, A4 for D0.25 and A5 for D0.10. Two 12-mm targets per phantom were selected. The mean Euclidean distance (EuD) between the tip of the needle and the isocenter of the target was measured for each puncture. The different measures were compared by paired Student's t-tests. RESULTS The mean EuD was 7.0±3.1 mm for the 128 punctures performed. Regardless of which phantom was considered, no significant difference in accuracy occurred between the 4 dose levels, which were 7.1±3.5 mm for D1.00; 7.1±3.1 mm for D0.50; 7.2±3.0 mm for D0.25 and 6.6±2.6 mm for D0.10. CONCLUSIONS Abdominal CT-guided procedures, using computer-assisted navigation and iterative reconstruction algorithms, allow precise punctures on anthropomorphic phantoms with a dose reduction of -92% compared to a standard protocol.
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Affiliation(s)
- Julien Frandon
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, EA 2992, Nîmes, France
| | - Philippe Akessoul
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, EA 2992, Nîmes, France
| | - Aymeric Hamard
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, EA 2992, Nîmes, France
| | - Edinaud Bezandry
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, EA 2992, Nîmes, France
| | - Romaric Loffroy
- Department of Vascular and Interventional Radiology, Image-Guided Therapy Center, ImViA Laboratory-EA 7535, François-Mitterrand University Hospital, Dijon, France
| | - Takieddine Addala
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, EA 2992, Nîmes, France
| | - Martin M Bertrand
- Digestive Surgery Department, Nîmes University Hospital, Nîmes, France
| | - Jean-Paul Beregi
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, EA 2992, Nîmes, France
| | - Joël Greffier
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, EA 2992, Nîmes, France
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Greffier J, Frandon J, Si-Mohamed S, Dabli D, Hamard A, Belaouni A, Akessoul P, Besse F, Guiu B, Beregi JP. Comparison of two deep learning image reconstruction algorithms in chest CT images: A task-based image quality assessment on phantom data. Diagn Interv Imaging 2021; 103:21-30. [PMID: 34493475 DOI: 10.1016/j.diii.2021.08.001] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 08/02/2021] [Accepted: 08/04/2021] [Indexed: 12/22/2022]
Abstract
PURPOSE The purpose of this study was to compare the effect of two deep learning image reconstruction (DLR) algorithms in chest computed tomography (CT) with different clinical indications. MATERIAL AND METHODS Acquisitions on image quality and anthropomorphic phantoms were performed at six dose levels (CTDIvol: 10/7.5/5/2.5/1/0.5mGy) on two CT scanners equipped with two different DLR algorithms (TrueFidelityTM and AiCE). Raw data were reconstructed using the filtered back-projection (FBP) and the lowest/intermediate/highest DLR levels (L-DLR/M-DLR/H-DLR) of each algorithm. Noise power spectrum, task-based transfer function (TTF) and detectability index (d') were computed: d' modelled detection of a soft tissue mediastinal nodule, ground-glass opacity, or high-contrast pulmonary lesion. Subjective image quality of anthropomorphic phantom images was analyzed by two radiologists. RESULTS For the L-DLR/M-DLR levels, the noise magnitude was lower with TrueFidelityTM than with AiCE from 2.5 to 10 mGy. For H-DLR, noise magnitude was lower with AiCE . For L-DLR and M-DLR, the average NPS spatial frequency (fav) values were greater for AiCE except for 0.5 mGy. For H-DLR levels, fav was greater for TrueFidelityTM than for AiCE. TTF50% values were greater with AiCE for the air insert, and lower than TrueFidelityTM for the polyethylene insert. From 2.5 to10 mGy, d' was greater for AiCE than for TrueFidelityTM for H-DLR for all lesions, but similar for L-DLR and M-DLR. Image quality was rated clinically appropriate for all levels of both algorithms, for dose from 2.5 to 10 mGy, except for L-DLR of AiCE. CONCLUSION DLR algorithms reduce the image-noise and improve lesion detectability. Their operations and properties impacted both noise-texture and spatial resolution.
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Affiliation(s)
- Joël Greffier
- Department of Medical Imaging, CHU Nimes, Univ Montpellier, Medical Imaging Group Nimes, EA 2992, 30029 Nîmes, France.
| | - Julien Frandon
- Department of Medical Imaging, CHU Nimes, Univ Montpellier, Medical Imaging Group Nimes, EA 2992, 30029 Nîmes, France
| | - Salim Si-Mohamed
- Department of Radiology, Hospices Civils de Lyon, 69500 Lyon, France
| | - Djamel Dabli
- Department of Medical Imaging, CHU Nimes, Univ Montpellier, Medical Imaging Group Nimes, EA 2992, 30029 Nîmes, France
| | - Aymeric Hamard
- Department of Medical Imaging, CHU Nimes, Univ Montpellier, Medical Imaging Group Nimes, EA 2992, 30029 Nîmes, France
| | - Asmaa Belaouni
- Department of Medical Imaging, CHU Nimes, Univ Montpellier, Medical Imaging Group Nimes, EA 2992, 30029 Nîmes, France
| | - Philippe Akessoul
- Department of Medical Imaging, CHU Nimes, Univ Montpellier, Medical Imaging Group Nimes, EA 2992, 30029 Nîmes, France
| | - Francis Besse
- Department of Radiology Centre Cardiologique Nord, 93200 Saint Denis, France
| | - Boris Guiu
- Department of Radiology Saint-Eloi University Hospital, 34295 Montpellier, France
| | - Jean-Paul Beregi
- Department of Medical Imaging, CHU Nimes, Univ Montpellier, Medical Imaging Group Nimes, EA 2992, 30029 Nîmes, France
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Greffier J, Dabli D, Frandon J, Hamard A, Belaouni A, Akessoul P, Fuamba Y, Le Roy J, Guiu B, Beregi JP. Comparison of two versions of a deep learning image reconstruction algorithm on CT image quality and dose reduction: A phantom study. Med Phys 2021; 48:5743-5755. [PMID: 34418110 DOI: 10.1002/mp.15180] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 08/02/2021] [Accepted: 08/09/2021] [Indexed: 01/01/2023] Open
Abstract
PURPOSE To compare the impact on CT image quality and dose reduction of two versions of a Deep Learning Image Reconstruction algorithm. MATERIAL AND METHODS Acquisitions on the CT ACR 464 phantom were performed at five dose levels (CTDIvol : 10/7.5/5/2.5/1 mGy) using chest or abdomen pelvis protocol parameters. Raw data were reconstructed using the filtered-back projection (FBP), the enhanced level of AIDR 3D (AIDR 3De), and the three levels of AiCE (Mild, Standard, and Strong) for the two versions (AiCE V8 vs AiCE V10). The noise power spectrum (NPS) and task-based transfer function (TTF) for bone (high-contrast insert) and acrylic (low-contrast insert) inserts were computed. To quantify the changes of noise magnitude and texture, the square root of the area under the NPS curve and the average spatial frequency (fav ) of the NPS curve were measured. The detectability index (d') was computed to model the detectability of either a large mass in the liver or lung, or a small calcification or high contrast tissue boundaries. RESULTS The noise magnitude was lower with both AiCE versions than with AIDR 3De. The noise magnitude was lower with AiCE V10 than with AiCE V8 (-4 ± 6% for Mild, -13 ± 3% for Standard, and -48 ± 0% for Strong levels). fav and TTF50% values for both inserts shifted towards higher frequencies with AiCE than with AIDR 3De. Compared to AiCE V08, fav shifted towards higher frequencies with AiCE V10 (45 ± 4%, 36 ± 3%, and 5 ± 4% for all levels, respectively). The TTF50% values shifted towards higher frequencies with AiCE V10 as compared with AiCE V8 for both inserts, except for the Strong level for the acrylic insert. Whatever the dose and AiCE levels, d' values were higher with AiCE V10 than with AiCE V8 for the small object/calcification and for the large object/lesion. CONCLUSION As compared to AIDR 3De, lower noise magnitude and higher spatial resolution and detectability index were found with both versions of AiCE. As compared to AiCE V8, AiCE V10 reduced noise and improved spatial resolution and detectability without changing the noise texture in a simple geometric phantom, except for the Strong level. AiCE V10 seems to have a greater potential for dose reduction than AiCE V8.
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Affiliation(s)
- Joël Greffier
- Department of medical imaging, CHU Nîmes, Nîmes Medical Imaging Group, Univ Montpellier, Nîmes, France
| | - Djamel Dabli
- Department of medical imaging, CHU Nîmes, Nîmes Medical Imaging Group, Univ Montpellier, Nîmes, France
| | - Julien Frandon
- Department of medical imaging, CHU Nîmes, Nîmes Medical Imaging Group, Univ Montpellier, Nîmes, France
| | - Aymeric Hamard
- Department of medical imaging, CHU Nîmes, Nîmes Medical Imaging Group, Univ Montpellier, Nîmes, France
| | - Asmaa Belaouni
- Department of medical imaging, CHU Nîmes, Nîmes Medical Imaging Group, Univ Montpellier, Nîmes, France
| | - Philippe Akessoul
- Department of medical imaging, CHU Nîmes, Nîmes Medical Imaging Group, Univ Montpellier, Nîmes, France
| | - Yannick Fuamba
- Computed Tomography Division, Canon Medical Systems France, Suresnes, France
| | - Julien Le Roy
- Medical Physics Department, Montpellier University Hospital, Montpellier, France
| | - Boris Guiu
- Saint-Eloi University Hospital, Montpellier, France
| | - Jean-Paul Beregi
- Department of medical imaging, CHU Nîmes, Nîmes Medical Imaging Group, Univ Montpellier, Nîmes, France
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Impact of Morphotype on Image Quality and Diagnostic Performance of Ultra-Low-Dose Chest CT. J Clin Med 2021; 10:jcm10153284. [PMID: 34362068 PMCID: PMC8348164 DOI: 10.3390/jcm10153284] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [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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Greffier J, Hoballah A, Sadate A, de Oliveira F, Claret PG, de Forges H, Loubet P, Mauboussin JM, Hamard A, Beregi JP, Frandon J. Ultra-low-dose chest CT performance for the detection of viral pneumonia patterns during the COVID-19 outbreak period: a monocentric experience. Quant Imaging Med Surg 2021; 11:3190-3199. [PMID: 34249645 DOI: 10.21037/qims-20-1176] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 02/18/2021] [Indexed: 12/16/2022]
Abstract
Background Ultra low dose chest computed tomography (CT) acquisitions have been used for selected emergency room patients with acute dyspnea or minor thoracic trauma. The purpose of this study was to evaluate the diagnostic performance of ultra-low-dose (ULD) chest CT for detecting viral pneumonia patterns compared to standard (STD) dose chest CT. Methods All consecutive adult patients with two non-enhanced chest CT acquisitions, one STD and one ULD, for suspicion of viral pneumonia between March 5th and April 2nd 2020 were included. CT results were divided into two groups: non-viral pneumonia CT or compatible with viral pneumonia CT based on viral pneumonia CT patterns: ground-glass opacity (GGO), consolidation, crazy paving, air bronchogram signs and fibrous stripes. The diagnostic performance of ULD CT for suspicion of viral pneumonia was evaluated. For CTs compatible with viral pneumonia, CT pattern detection on ULD CT was assessed and STD CT was used as a reference. Results The study included 380 patients with 97 CTs (25.5%) compatible with viral pneumonia. The mean effective doses (EDs) were 1.66 (1.29; 2.18) mSv for STD and 0.20 (0.18; 0.22) mSv for ULD CT (P<0.001). The sensitivity and specificity of ULD CT for viral pneumonia detection were 98.9% and 99.0%, respectively. GGO, consolidation and fibrous stripes were equally visible in STD and ULD in 100% (n=97), 36% (n=35) and 23% (n=22) of compatible viral pneumonia-CT patients, respectively. Air bronchogram sign detection was equivalent, concerning 23% (n=22) of patients in STD and 22% (n=21) in ULD. Crazy paving was visible in 24% (n=23) of patients in STD and only 8% (n=8) in ULD (P=0.003). Conclusions In comparison to STD dose chest CT, ULD chest CT, with a mean reduction dose of 88.0%, has comparable diagnostic performance for detecting viral pneumonia on CT.
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Affiliation(s)
- Joël Greffier
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, Nîmes, France
| | - Adel Hoballah
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, Nîmes, France
| | - Alexandre Sadate
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, Nîmes, France
| | - Fabien de Oliveira
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, Nîmes, France
| | - Pierre-Geraud Claret
- Department of Anesthesia Resuscitation Pain Emergencies, Nîmes University Hospital, University of Montpellier, Nîmes, France
| | - Hélène de Forges
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, Nîmes, France
| | - Paul Loubet
- VBMI, INSERM U1047, Department of Infectious and Tropical Disease, CHU Nîmes, Univ Montpellier, Nîmes, France
| | - Jean-Marc Mauboussin
- VBMI, INSERM U1047, Department of Infectious and Tropical Disease, CHU Nîmes, Univ Montpellier, Nîmes, France
| | - Aymeric Hamard
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, Nîmes, France
| | - Jean-Paul Beregi
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, Nîmes, France
| | - Julien Frandon
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, Nîmes, France
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Nicolan B, Greffier J, Dabli D, de Forges H, Arcis E, Al Zouabi N, Larbi A, Beregi JP, Frandon J. Diagnostic performance of ultra-low dose versus standard dose CT for non-traumatic abdominal emergencies. Diagn Interv Imaging 2021; 102:379-387. [PMID: 33714689 DOI: 10.1016/j.diii.2021.02.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 02/09/2021] [Accepted: 02/18/2021] [Indexed: 12/29/2022]
Abstract
PURPOSE The purpose of this study was to compare the diagnostic performance of ultra-low dose (ULD) to that of standard (STD) computed tomography (CT) for the diagnosis of non-traumatic abdominal emergencies using clinical follow-up as reference standard. MATERIALS AND METHODS All consecutive patients requiring emergency abdomen-pelvic CT examination from March 2017 to September 2017 were prospectively included. ULD and STD CTs were acquired after intravenous administration iodinated contrast medium (portal phase). CT acquisitions were performed at 125mAs for STD and 55mAs for ULD. Diagnostic performance was retrospectively evaluated on ULD and STD CTs using clinical follow-up as a reference diagnosis. RESULTS A total of 308 CT examinations from 308 patients (145 men; mean age 59.1±20.7 (SD) years; age range: 18-96 years) were included; among which 241/308 (78.2%) showed abnormal findings. The effective dose was significantly lower with the ULD protocol (1.55±1.03 [SD] mSv) than with the STD (3.67±2.56 [SD] mSv) (P<0.001). Sensitivity was significantly lower for the ULD protocol (85.5% [95%CI: 80.4-89.4]) than for the STD (93.4% [95%CI: 89.4-95.9], P<0.001) whereas specificities were similar (94.0% [95%CI: 85.1-98.0] vs. 95.5% [95%CI: 87.0-98.9], respectively). ULD sensitivity was equivalent to STD for bowel obstruction and colitis/diverticulitis (96.4% [95%CI: 87.0-99.6] and 86.5% [95%CI: 74.3-93.5] for ULD vs. 96.4% [95%CI: 87.0-99.6] and 88.5% [95%CI: 76.5-94.9] for STD, respectively) but lower for appendicitis, pyelonephritis, abscesses and renal colic (75.0% [95%CI: 57.6-86.9]; 77.3% [95%CI: 56.0-90.1]; 90.5% [95%CI: 69.6-98.4] and 85% [95%CI: 62.9-95.4] for ULD vs. 93.8% [95%CI: 78.6-99.2]; 95.5% [95%CI: 76.2-100.0]; 100.0% [95%CI: 81.4-100.0] and 100.0% [95%CI: 80.6-100.0] for STD, respectively). Sensitivities were significantly different between the two protocols only for appendicitis (P=0.041). CONCLUSION In an emergency context, for patients with non-traumatic abdominal emergencies, ULD-CT showed inferior diagnostic performance compared to STD-CT for most abdominal conditions except for bowel obstruction and colitis/diverticulitis detection.
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Affiliation(s)
- Basien Nicolan
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, EA 2415, 30000 Nîmes, France
| | - Joël Greffier
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, EA 2415, 30000 Nîmes, France
| | - Djamel Dabli
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, EA 2415, 30000 Nîmes, France
| | - Hélène de Forges
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, EA 2415, 30000 Nîmes, France
| | - Elise Arcis
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, EA 2415, 30000 Nîmes, France
| | - Nadir Al Zouabi
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, EA 2415, 30000 Nîmes, France
| | - Ahmed Larbi
- ISERIS imagerie médicale, 34000 Montpellier, France
| | - Jean-Paul Beregi
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, EA 2415, 30000 Nîmes, France
| | - Julien Frandon
- Department of Medical Imaging, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, EA 2415, 30000 Nîmes, France.
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Thammasiri N, Thanaboonnipat C, Choisunirachon N, Darawiroj D. Multi-factorial considerations for intra-thoracic lymph node evaluations of healthy cats on computed tomographic images. BMC Vet Res 2021; 17:59. [PMID: 33509167 PMCID: PMC7844987 DOI: 10.1186/s12917-021-02771-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 01/19/2021] [Indexed: 12/23/2022] Open
Abstract
Background It is difficult to examine mild to moderate feline intra-thoracic lymphadenopathy via and thoracic radiography. Despite previous information from computed tomographic (CT) images of intra-thoracic lymph nodes, some factors from animals and CT setting were less elucidated. Therefore, this study aimed to investigate the effect of internal factors from animals and external factors from the CT procedure on the feasibility to detect the intra-thoracic lymph nodes. Twenty-four, client-owned, clinically healthy cats were categorized into three groups according to age. They underwent pre- and post-contrast enhanced CT for whole thorax followed by inter-group evaluation and comparison of sternal, cranial mediastinal, and tracheobronchial lymph nodes. Results Post contrast-enhanced CT appearances revealed that intra-thoracic lymph nodes of kittens were invisible, whereas the sternal, cranial mediastinal, and tracheobronchial nodes of cats aged over 7 months old were detected (6/24, 9/24 and 7/24, respectively). Maximum width of these lymph nodes were 3.93 ± 0.74 mm, 4.02 ± 0.65 mm, and 3.51 ± 0.62 mm, respectively. By age, lymph node sizes of these cats were not significantly different. Transverse lymph node width of males was larger than that of females (P = 0.0425). Besides, the detection score of lymph nodes was affected by slice thickness (P < 0.01) and lymph node width (P = 0.0049). Furthermore, an irregular, soft tissue structure, possibly the thymus, was detected in all juvenile cats and three mature cats. Conclusions Despite additional information on intra-thoracic lymph nodes in CT images, which can be used to investigate lymphatic-related abnormalities, age, sex, and slice thickness of CT images must be also considered.
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Affiliation(s)
- Ninlawan Thammasiri
- Department of Surgery, Faculty of Veterinary Science, Chulalongkorn University, 39 Henri-Dunant Road, Wangmai, Pathumwan, Bangkok, 10330, Thailand
| | - Chutimon Thanaboonnipat
- Department of Surgery, Faculty of Veterinary Science, Chulalongkorn University, 39 Henri-Dunant Road, Wangmai, Pathumwan, Bangkok, 10330, Thailand
| | - Nan Choisunirachon
- Department of Surgery, Faculty of Veterinary Science, Chulalongkorn University, 39 Henri-Dunant Road, Wangmai, Pathumwan, Bangkok, 10330, Thailand
| | - Damri Darawiroj
- Department of Anatomy, Faculty of Veterinary Science, Chulalongkorn University, 39 Henri-Dunant Road, Wangmai, Pathumwan, Bangkok, 10330, Thailand.
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Tækker M, Kristjánsdóttir B, Graumann O, Laursen CB, Pietersen PI. Diagnostic accuracy of low-dose and ultra-low-dose CT in detection of chest pathology: a systematic review. Clin Imaging 2021; 74:139-148. [PMID: 33517021 DOI: 10.1016/j.clinimag.2020.12.041] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 12/12/2020] [Accepted: 12/31/2020] [Indexed: 02/02/2023]
Abstract
PURPOSE Studies have evaluated imaging modalities with a lower radiation dose than standard-dose CT (SD-CT) for chest examination. This systematic review aimed to summarize evidence on diagnostic accuracy of these modalities - low-dose and ultra-low-dose CT (LD- and ULD-CT) - for chest pathology. METHOD Ovid-MEDLINE, Ovid-EMBASE and the Cochrane Library were systematically searched April 29th-30th, 2019 and screened by two reviewers. Studies on diagnostic accuracy were included if they defined their index tests as 'LD-CT', 'Reduced-dose CT' or 'ULD-CT' and had SD-CT as reference standard. Risk of bias was evaluated on study level using the Quality Assessment of Diagnostic Accuracy Studies-2. A narrative synthesis was conducted to compare the diagnostic accuracy measurements. RESULTS Of the 4257 studies identified, 18 were eligible for inclusion. SD-CT (3.17 ± 1.47 mSv) was used as reference standard in all studies to evaluate diagnostic accuracy of LD- (1.22 ± 0.34 mSv) and ULD-CT (0.22 ± 0.05 mSv), respectively. LD-CT had high sensitivities for detection of bronchiectasis (82-96%), honeycomb (75-100%), and varying sensitivities for nodules (63-99%) and ground glass opacities (GGO) (77-91%). ULD-CT had high sensitivities for GGO (93-100%), pneumothorax (100%), consolidations (90-100%), and varying sensitivities for nodules (60-100%) and emphysema (65-90%). CONCLUSION The included studies found LD-CT to have high diagnostic accuracy in detection of honeycombing and bronchiectasis and ULD-CT to have high diagnostic accuracy for pneumothorax, consolidations and GGO. Summarizing evidence on diagnostic accuracy of LD- and ULD-CT for other chest pathology was not possible due to varying outcome measures, lack of precision estimates and heterogeneous study design and methodology.
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Affiliation(s)
- Maria Tækker
- Research and Innovation Unit of Radiology, University of Southern Denmark, Kloevervaenget 10, entrance 112, 2nd floor, 5000 Odense C, Denmark; Department of Radiology, Odense University Hospital, Kloevervaenget 47, 5000 Odense C, Denmark.
| | - Björg Kristjánsdóttir
- Research and Innovation Unit of Radiology, University of Southern Denmark, Kloevervaenget 10, entrance 112, 2nd floor, 5000 Odense C, Denmark; Department of Radiology, Odense University Hospital, Kloevervaenget 47, 5000 Odense C, Denmark.
| | - Ole Graumann
- Research and Innovation Unit of Radiology, University of Southern Denmark, Kloevervaenget 10, entrance 112, 2nd floor, 5000 Odense C, Denmark; Department of Radiology, Odense University Hospital, Kloevervaenget 47, 5000 Odense C, Denmark.
| | - Christian B Laursen
- Department of Respiratory Medicine, Odense University Hospital, Kloevervaenget 2, entrance 87-88, 5000 Odense C, Denmark; Department of Clinical Research, Faculty of Health Science, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark.
| | - Pia I Pietersen
- Department of Respiratory Medicine, Odense University Hospital, Kloevervaenget 2, entrance 87-88, 5000 Odense C, Denmark; Regional Center for Technical Simulation, Odense University Hospital, Region of Southern Denmark, J. B. Winsløws Vej 4, 5000 Odense C, Denmark.
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Hamard A, Greffier J, Bastide S, Larbi A, Addala T, Sadate A, Beregi JP, Frandon J. Ultra-low-dose CT versus radiographs for minor spine and pelvis trauma: a Bayesian analysis of accuracy. Eur Radiol 2020; 31:2621-2633. [PMID: 33034747 DOI: 10.1007/s00330-020-07304-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Revised: 08/08/2020] [Accepted: 09/16/2020] [Indexed: 01/23/2023]
Abstract
OBJECTIVES To compare diagnosis performance and effective dose of ultra-low-dose CT (ULD CT) versus radiographs in suspected spinal or pelvic ring or hip fracture for minor trauma. METHODS ULD CT, in addition to radiography, was prospectively performed in consecutive patients admitted to the emergency department for minor traumas, during working hours over 2 months. Presence of a recent fracture was assessed by two blind radiologists independently. Sensitivities and specificities were estimated using the best valuable comparator (BVC) as a reference and using a latent class model in Bayesian inference (BLCM). Dosimetric indicators were recorded and effective doses (E) were calculated using conversion coefficient. RESULTS Eighty areas were analyzed in 69 patients, including 22 dorsal spine, 28 lumbar spine, and 30 pelvic ring/hip. Thirty-six fractures (45%) were observed. Applying the BVC method, depending on location, ULD CT sensitivity was 80 to 100% for reader 1 and 85 to 100% for reader 2, whereas radiographic sensitivity was 60 to 85% for reader 1 and 50 to 92% for reader 2. With BLCM approach for reader 2, ULD CT sensitivity for all locations/dorsal spine/lumbar spine and pelvic ring-hip was 87.1/75.9/84.2/76.9% respectively. Corresponding radiograph sensitivity was 73.8, 54.8, 80.4, and 68.7%. Effective doses of ULD CT were similar to radiographs for dorsal and hip locations whereas for lumbar spine, ULD CT effective dose was 1.83 ± 0.59 mSv compared with 0.96 ± 0.59 mSv (p < 0.001). CONCLUSION Sensitivity for fracture detection was higher for ULD CT compared with radiographs with an effective dose comparable to radiographs. KEY POINTS • Ultra-low-dose spine and pelvis CT demonstrates better fracture detection when compared with radiographs. • The effective dose of ultra-low-dose spine and pelvis CT scan and radiographs is comparable. • Replacement of radiographs by ULD CT in daily practice for trauma patients is an option to consider and should be evaluated by a randomized trial.
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Affiliation(s)
- Aymeric Hamard
- Medical Imaging Group, CHU Nimes, Univ Montpellier, Montpellier, France.
| | - Joel Greffier
- Medical Imaging Group, CHU Nimes, Univ Montpellier, Montpellier, France
| | - Sophie Bastide
- Department of Biostatistics, Epidemiology, Public Health and Innovation in Methodology (BESPIM), CHU Nimes, Univ Montpellier, Montpellier, France
| | - Ahmed Larbi
- Medical Imaging Group, CHU Nimes, Univ Montpellier, Montpellier, France
| | - Takieddine Addala
- Medical Imaging Group, CHU Nimes, Univ Montpellier, Montpellier, France
| | - Alexandre Sadate
- Medical Imaging Group, CHU Nimes, Univ Montpellier, Montpellier, France
| | - Jean-Paul Beregi
- Medical Imaging Group, CHU Nimes, Univ Montpellier, Montpellier, France
| | - Julien Frandon
- Medical Imaging Group, CHU Nimes, Univ Montpellier, Montpellier, France
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The use of computed tomography during the COVID-19 pandemic: Its place in the diagnostic algorithm for acute surgical patients. J Trauma Acute Care Surg 2020; 89:e135-e139. [PMID: 32769954 DOI: 10.1097/ta.0000000000002898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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Impact of ultra-low dose CT acquisition on semi-automated RECIST tool in the evaluation of malignant focal liver lesions. Diagn Interv Imaging 2020; 101:473-479. [DOI: 10.1016/j.diii.2020.05.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 05/05/2020] [Accepted: 05/06/2020] [Indexed: 12/21/2022]
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Greffier J, Pereira F, Hamard A, Addala T, Beregi J, Frandon J. Effect of tin filter-based spectral shaping CT on image quality and radiation dose for routine use on ultralow-dose CT protocols: A phantom study. Diagn Interv Imaging 2020; 101:373-381. [DOI: 10.1016/j.diii.2020.01.002] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 12/19/2019] [Accepted: 01/05/2020] [Indexed: 12/29/2022]
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Kanglie MMNP, Bipat S, van den Berk IAH, van Engelen TSR, Dijkgraaf MGW, Prins JM, Stoker J, Bossuyt PMM. OPTimal IMAging strategy in patients suspected of non-traumatic pulmonary disease at the emergency department: chest X-ray or ultra-low-dose chest CT (OPTIMACT) trial-statistical analysis plan. Trials 2020; 21:407. [PMID: 32410657 PMCID: PMC7227355 DOI: 10.1186/s13063-020-04343-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 04/24/2020] [Indexed: 11/30/2022] Open
Abstract
Background A chest X-ray is a standard imaging procedure in the diagnostic work-up of patients suspected of having non-traumatic pulmonary disease. Compared to a chest X-ray, an ultra-low-dose (ULD) chest computed tomography (CT) scan provides substantially more detailed information on pulmonary conditions. To what extent this translates into an improvement in patient outcomes and health care efficiency is yet unknown. The OPTimal IMAging strategy in patients suspected of non-traumatic pulmonary disease at the emergency department: chest X-ray or ultra-low-dose chest CT (OPTIMACT) study is a multicenter, pragmatic, non-inferiority randomized controlled trial designed to evaluate replacement of chest X-ray by ULD chest CT in the diagnostic work-up of such patients, in terms of patient-related health outcomes and costs. During randomly assigned periods of 1 calendar month, either conventional chest X-ray or ULD chest CT scan was used as the imaging strategy. This paper presents in detail the statistical analysis plan of the OPTIMACT trial, developed prior to data analysis. Methods/results Functional health at 28 days is the primary clinical outcome. Functional health at 28 days is measured by the physical component summary scale of the Short Form (SF)-12 questionnaire version 1. Secondary outcomes are mental health (mental component summary scale of the SF-12), length of hospital stay, mortality within 28 days, quality-adjusted life year equivalent during the first 28 days (derived from the EuroQol five-dimension, five-level instrument), correct diagnoses at emergency department discharge as compared to the final post hoc diagnosis at day 28, number of patients in follow-up because of incidental findings on chest X-ray or ULD chest CT, and health care costs. Conclusions After this pragmatic trial we will have precise estimates of the effectiveness of replacing chest X-ray with ULD chest CT in terms of patient-related health outcomes and costs. Trial registration Netherlands National Trial Register: NTR6163. Registered on 6 December 2016.
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Affiliation(s)
- Maadrika M N P Kanglie
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location AMC, University of Amsterdam, P.O. Box 22660, 1100 DD, Amsterdam, the Netherlands.
| | - Shandra Bipat
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location AMC, University of Amsterdam, P.O. Box 22660, 1100 DD, Amsterdam, the Netherlands
| | - Inge A H van den Berk
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location AMC, University of Amsterdam, P.O. Box 22660, 1100 DD, Amsterdam, the Netherlands
| | - Tjitske S R van Engelen
- Center of Experimental and Molecular Medicine, Amsterdam UMC, University of Amsterdam, P.O. Box 22660, 1100 DD, Amsterdam, the Netherlands
| | - Marcel G W Dijkgraaf
- Department of Clinical Epidemiology, Biostatics and Bioinformatics, Amsterdam UMC, location AMC, University of Amsterdam, P.O. Box 22660, 1100 DD, Amsterdam, the Netherlands
| | - Jan M Prins
- Department of Internal Medicine, Amsterdam UMC, University of Amsterdam, P.O. Box 22660, 1100 DD, Amsterdam, the Netherlands
| | - Jaap Stoker
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location AMC, University of Amsterdam, P.O. Box 22660, 1100 DD, Amsterdam, the Netherlands
| | - Patrick M M Bossuyt
- Department of Clinical Epidemiology, Biostatics and Bioinformatics, Amsterdam UMC, location AMC, University of Amsterdam, P.O. Box 22660, 1100 DD, Amsterdam, the Netherlands
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CT dose optimization for the detection of pulmonary arteriovenous malformation (PAVM): A phantom study. Diagn Interv Imaging 2020; 101:289-297. [DOI: 10.1016/j.diii.2019.12.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 12/14/2019] [Indexed: 12/31/2022]
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Added Value of Ultra-low-dose Computed Tomography, Dose Equivalent to Chest X-Ray Radiography, for Diagnosing Chest Pathology. J Thorac Imaging 2019; 34:179-186. [PMID: 30870305 PMCID: PMC6485307 DOI: 10.1097/rti.0000000000000404] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Purpose: The purpose of this study was to assess the clinical value of ultra–low-dose computed tomography (ULDCT) compared with chest x-ray radiography (CXR) for diagnosing chest pathology. Materials and Methods: A total of 200 patients referred for CXR by outpatient clinics or general practitioners were enrolled prospectively. They underwent CXR (posteroanterior and lateral) and ULDCT (120 kV, 3 mAs) on the same day. In-room time and effective dose were recorded for each examination. Studies were categorized whether they were diagnostic or not, relevant radiologic diagnostic findings were reported, and confidence for diagnosis was recorded by a Likert scale. Differences in diagnostic confidence and effect on management decision were compared. Results: In-room time was <2 minutes for CXR and <3 minutes for ULDCT. Effective dose was 0.040 mSv for CXR and 0.071 mSv for ULDCT. CXR was considered diagnostic in 98% and ULDCT in 100%. The mean perceived confidence for diagnosis was 88±12% with CXR and 98±2% with ULDCT (P<0.0001), whereas discrepant findings between CXR and ULDCT were found in 101 of 200 patients. As compared with CXR, ULDCT had added value for management decisions in 40 of 200 patients. Conclusions: ULDCT provided added value to the radiologist by improved perceived confidence with a reduction in false-positive and false-negative CXR investigations that had management implications in 20% of patients. The effective dose of ULDCT will not be a limiting factor for introducing ULDCT of the chest on a broad scale in clinical practice.
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Greffier J, Frandon J, Larbi A, Beregi JP, Pereira F. CT iterative reconstruction algorithms: a task-based image quality assessment. Eur Radiol 2019; 30:487-500. [DOI: 10.1007/s00330-019-06359-6] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 06/21/2019] [Accepted: 07/03/2019] [Indexed: 12/15/2022]
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Greffier J, Larbi A, Frandon J, Moliner G, Beregi J, Pereira F. Comparison of noise-magnitude and noise-texture across two generations of iterative reconstruction algorithms from three manufacturers. Diagn Interv Imaging 2019; 100:401-410. [DOI: 10.1016/j.diii.2019.04.006] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2019] [Revised: 04/13/2019] [Accepted: 04/15/2019] [Indexed: 12/14/2022]
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Macri F, Greffier J, Khasanova E, Claret PG, Bastide S, Larbi A, Bobbia X, Pereira FR, de la Coussaye JE, Beregi JP. Minor Blunt Thoracic Trauma in the Emergency Department: Sensitivity and Specificity of Chest Ultralow-Dose Computed Tomography Compared With Conventional Radiography. Ann Emerg Med 2019; 73:665-670. [DOI: 10.1016/j.annemergmed.2018.11.012] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Revised: 10/08/2018] [Accepted: 11/08/2018] [Indexed: 10/27/2022]
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Beregi J, Greffier J. Low and ultra-low dose radiation in CT: Opportunities and limitations. Diagn Interv Imaging 2019; 100:63-64. [DOI: 10.1016/j.diii.2019.01.007] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Wang L, Gong S, Yang J, Zhou J, Xiao J, Gu J, Yang H, Zhu J, He B. CARE Dose 4D combined with sinogram-affirmed iterative reconstruction improved the image quality and reduced the radiation dose in low dose CT of the small intestine. J Appl Clin Med Phys 2019; 20:293-307. [PMID: 30508275 PMCID: PMC6333130 DOI: 10.1002/acm2.12502] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 08/06/2018] [Accepted: 10/19/2018] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVE Multislice computed tomography (MSCT) has been used for diagnosis of small intestinal diseases. However, the radiation dose is a big problem. This study was to investigate whether CARE Dose 4D combined with sinogram-affirmed iterative reconstruction (SAFIRE) can provide better image quality at a lower dose for imaging small intestinal diseases compared to MSCT. METHODS The noise reduction ability of SAFIRE was assessed by scanning the plain water mold using SOMATOM Definition Flash double-source spiral CT. CT images at each stage of radiography for 239 patients were obtained. The patients were divided into groups A and B were based on different tube voltage and current or the image recombination methods. The images were restructured using with filtered back projection (FBP) and SAFIRE (S1-S5). The contrast noise ratio (CNR), CT Dose index (CTDI), subjective scoring, and objective scoring were compared to obtain the best image and reformation parameters at different stages of CT. RESULTS Twenty-six restructuring patterns of tube voltage and current were obtained by FBP and SAFIRE. The average radiation dose using CARE Dose 4D combined with SAFIRE (S4-S5) reduced approximately 74.85% compared to conditions where the tube voltage of 100 kV and tube current of 131 mAs for patients with MSCT small intestinal CT enterography at plain CT scan, arterial stage, small intestine, and portal venous phase. The objective and subjective scoring were all significantly different among groups A and B at each stage. CONCLUSIONS Combination of CARE Dose 4D and SAFIRE is shown to decrease the radiation dose while maintaining image quality.
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Affiliation(s)
- Lin Wang
- Department of RadiologyThe Second Affiliated Hospital of Nantong UniversityJiangsuChina
| | - Shenchu Gong
- Department of RadiologyThe Second Affiliated Hospital of Nantong UniversityJiangsuChina
| | - Jushun Yang
- Department of RadiologyThe Second Affiliated Hospital of Nantong UniversityJiangsuChina
| | - Jie Zhou
- Department of RadiologyThe Second Affiliated Hospital of Nantong UniversityJiangsuChina
| | - Jing Xiao
- Department of Epidemiology and Medical StatisticsSchool of Public Health Nantong UniversityNantongJiangsuChina
| | - Jin‐hua Gu
- Department of PathophysiologyNantong University Medical SchoolNantongJiangsuChina
| | - Hong Yang
- Department of RadiologyThe Second Affiliated Hospital of Nantong UniversityJiangsuChina
| | - Jianfeng Zhu
- Department of RadiologyThe Second Affiliated Hospital of Nantong UniversityJiangsuChina
| | - Bosheng He
- Department of RadiologyThe Second Affiliated Hospital of Nantong UniversityJiangsuChina
- Clinical Medicine Research Centerthe Second Affiliated Hospital of Nantong UniversityNantongJiangsuChina
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Fillon M, Si-Mohamed S, Coulon P, Vuillod A, Klahr P, Boussel L. Reduction of patient radiation dose with a new organ based dose modulation technique for thoraco-abdominopelvic computed tomography (CT) (Liver dose right index). Diagn Interv Imaging 2018; 99:483-492. [DOI: 10.1016/j.diii.2018.01.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Revised: 01/18/2018] [Accepted: 01/22/2018] [Indexed: 10/18/2022]
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Larbi A, Orliac C, Frandon J, Pereira F, Ruyer A, Goupil J, Macri F, Beregi J, Greffier J. Detection and characterization of focal liver lesions with ultra-low dose computed tomography in neoplastic patients. Diagn Interv Imaging 2018; 99:311-320. [DOI: 10.1016/j.diii.2017.11.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2017] [Revised: 08/20/2017] [Accepted: 11/16/2017] [Indexed: 12/12/2022]
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van den Berk IAH, Kanglie MMNP, van Engelen TSR, Bipat S, Dijkgraaf MGW, Bossuyt PMM, de Monyé W, Prins JM, Stoker J. OPTimal IMAging strategy in patients suspected of non-traumatic pulmonary disease at the emergency department: chest X-ray or ultra-low-dose CT (OPTIMACT)-a randomised controlled trial chest X-ray or ultra-low-dose CT at the ED: design and rationale. Diagn Progn Res 2018; 2:20. [PMID: 31093568 PMCID: PMC6460797 DOI: 10.1186/s41512-018-0038-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Accepted: 06/25/2018] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Chest X-ray has been the standard imaging method for patients suspected of non-traumatic pulmonary disease at the emergency department (ED) for years. Recently, ultra-low-dose chest computed tomography (ULD chest CT) has been introduced, which provides substantially more detailed information on pulmonary conditions that may cause pulmonary disease, with a dose in the order of chest X-ray (0.1 vs. 0.05 mSv). The OPTimal IMAging strategy in patients suspected of non-traumatic pulmonary disease at the emergency department: chest X-ray or CT (OPTIMACT) study is a randomized trial designed to evaluate the effectiveness of replacing chest X-ray for ULD chest CT in the diagnostic work-up of patients suspected of non-traumatic pulmonary disease at the ED. METHODS Two thousand four hundred patients presenting at the ED with pulmonary complaints and suspected of non-traumatic pulmonary disease will be enrolled in this multicenter, pragmatic, randomized trial. During randomly assigned periods of one calendar month, either conventional chest X-ray or ULD chest CT scan will be used as the imaging strategy. Randomization will rely on computer-generated blocks of 2 months to control for seasonal effects. Chest X-ray and ULD chest CT will be performed in a standardized way, after obtaining the clinical history and performing physical examination and initial laboratory tests. The primary outcome measure is functional health at 28 days. Secondary outcome measures are mental health, length of hospital stay, mortality within 28 days, quality-adjusted life years (QALYs) during the first 28 days, correct diagnoses at ED discharge as compared to the final post hoc diagnosis, and number of patients in follow-up because of incidental findings on chest X-ray or ULD chest CT. In an economic evaluation, we will estimate total health care costs during the first 28 days. DISCUSSION This pragmatic trial will clarify the effects of replacing chest X-ray by ULD chest CT in daily practice, in terms of patient-related health outcomes and costs, in the diagnostic work-up of patients suspected of non-traumatic pulmonary disease at the ED. TRIAL REGISTRATION The OPTIMACT trial is registered in the Netherlands National Trial Register under number NTR6163. The date of registration is December 6, 2016.
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Affiliation(s)
- Inge A. H. van den Berk
- 0000000084992262grid.7177.6Radiology and Nuclear Medicine, Amsterdam Gastroenterology and Metabolism, Cancer Center Amsterdam, Amsterdam UMC, location AMC, University of Amsterdam, Amsterdam, Netherlands
| | - Maadrika M. N. P. Kanglie
- 0000000084992262grid.7177.6Radiology and Nuclear Medicine, Amsterdam Gastroenterology and Metabolism, Cancer Center Amsterdam, Amsterdam UMC, location AMC, University of Amsterdam, Amsterdam, Netherlands
| | - Tjitske S. R. van Engelen
- 0000000084992262grid.7177.6Internal Medicine, Infection and Immunity: Infectious Diseases, Amsterdam UMC, location AMC, University of Amsterdam, Amsterdam, Netherlands
| | - Shandra Bipat
- 0000000084992262grid.7177.6Radiology and Nuclear Medicine, Amsterdam Gastroenterology and Metabolism, Cancer Center Amsterdam, Amsterdam UMC, location AMC, University of Amsterdam, Amsterdam, Netherlands
| | - Marcel G. W. Dijkgraaf
- 0000000084992262grid.7177.6Clinical Epidemiology, Biostatics and Bioinformatics, Amsterdam Public Health: Methodology / Personalized Medicine, Amsterdam UMC, location AMC, University of Amsterdam, Amsterdam, Netherlands
| | - Patrick M. M. Bossuyt
- 0000000084992262grid.7177.6Clinical Epidemiology, Biostatics and Bioinformatics, Amsterdam Public Health: Methodology / Personalized Medicine, Amsterdam UMC, location AMC, University of Amsterdam, Amsterdam, Netherlands
| | | | - Jan M. Prins
- 0000000084992262grid.7177.6Internal Medicine, Infection and Immunity: Infectious Diseases, Amsterdam UMC, location AMC, University of Amsterdam, Amsterdam, Netherlands
| | - Jaap Stoker
- 0000000084992262grid.7177.6Radiology and Nuclear Medicine, Amsterdam Gastroenterology and Metabolism, Cancer Center Amsterdam, Amsterdam UMC, location AMC, University of Amsterdam, Amsterdam, Netherlands
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Canellas R, Ackman JB, Digumarthy SR, Price M, Otrakji A, McDermott S, Sharma A, Kalra MK. Submillisievert chest dual energy computed tomography: a pilot study. Br J Radiol 2017; 91:20170735. [PMID: 29125334 DOI: 10.1259/bjr.20170735] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE To assess if diagnostic dual energy CT (DECT) of the chest can be achieved at submillisievert (sub-mSv) doses. METHODS Our IRB-approved prospective study included 20 patients who were scanned on dual-source multidector CT(MDCT). All patients gave written informed consent for acquisition of additional image series at reduced radiation dose on a dual-source MDCT (80/140 kV) within 10 s after the standard of care acquisition. Dose reduction was achieved by reducing the quality reference milliampere-second, with combined angular exposure control. Four readers, blinded to all clinical data, evaluated the image sets. Image noise, signal-to-noise and contrast-to-noise ratio were assessed. Volumetric CT dose index (CTDIvol), doselength product (DLP), size specific dose estimate, and effective dose were also recorded. RESULTS The mean age and body mass index of the patients were 71 years ± 9 and 24 kg m-2 ± 3, respectively. Although images became noisier, overall image quality and image sharpness on blended images were considered good or excellent in all cases (20/20). All findings made on the reduced dose images presented with good demarcation. The intraobserver and interobserver agreements were κ = 0.83 and 0.73, respectively. Mean CTDIvol, size specific dose estimate, DLP and effective dose for reduced dose DECT were: 1.3 ± 0.2 mGy, 1.8 ± 0.2 mGy, 51 ± 9.9 mGy.cm and 0.7 ± 0.1 mSv, respectively. CONCLUSION Routine chest DECT can be performed at sub-mSv doses with good image quality and without loss of relevant diagnostic information. Advances in knowledge: (1) Contrast-enhanced DECT of the chest can be performed at sub-mSv doses, down to mean CTDIvol 1.3 mGy and DLP 51 mGy.cm in patients with body mass index <31 kg m-2. (2) To our knowledge, this is the first time that sub-mSv doses have been successfully applied in a patient study using a dual source DECT scanner.
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Affiliation(s)
- Rodrigo Canellas
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Jeanne B Ackman
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Subba R Digumarthy
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Melissa Price
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Alexi Otrakji
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Shaunagh McDermott
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Amita Sharma
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Mannudeep K Kalra
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
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Si-Mohamed S, Greffier J, Bobbia X, Larbi A, Delicque J, Khasanova E, Beregi JP, Macri F. Diagnostic performance of a low dose triple rule-out CT angiography using SAFIRE in emergency department. Diagn Interv Imaging 2017; 98:881-891. [DOI: 10.1016/j.diii.2017.09.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Revised: 08/07/2017] [Accepted: 09/07/2017] [Indexed: 12/13/2022]
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Radiation protection: Factors influencing compliance to referral guidelines in minor chest trauma. Eur Radiol 2017; 28:1420-1426. [DOI: 10.1007/s00330-017-5093-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Revised: 09/05/2017] [Accepted: 09/22/2017] [Indexed: 10/18/2022]
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Nagayama Y, Nakaura T, Oda S, Tsuji A, Urata J, Furusawa M, Tanoue S, Utsunomiya D, Yamashita Y. Value of 100 kVp scan with sinogram-affirmed iterative reconstruction algorithm on a single-source CT system during whole-body CT for radiation and contrast medium dose reduction: an intra-individual feasibility study. Clin Radiol 2017; 73:217.e7-217.e16. [PMID: 29029768 DOI: 10.1016/j.crad.2017.09.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Revised: 07/04/2017] [Accepted: 09/12/2017] [Indexed: 01/28/2023]
Abstract
AIM To perform an intra-individual investigation of the usefulness of a contrast medium (CM) and radiation dose-reduction protocol using single-source computed tomography (CT) combined with 100 kVp and sinogram-affirmed iterative reconstruction (SAFIRE) for whole-body CT (WBCT; chest-abdomen-pelvis CT) in oncology patients. MATERIALS AND METHODS Forty-three oncology patients who had undergone WBCT under both 120 and 100 kVp protocols at different time points (mean interscan intervals: 98 days) were included retrospectively. The CM doses for the 120 and 100 kVp protocols were 600 and 480 mg iodine/kg, respectively; 120 kVp images were reconstructed with filtered back-projection (FBP), whereas 100 kVp images were reconstructed with FBP (100 kVp-F) and the SAFIRE (100 kVp-S). The size-specific dose estimate (SSDE), iodine load and image quality of each protocol were compared. RESULTS The SSDE and iodine load of 100 kVp protocol were 34% and 21%, respectively, lower than of 120 kVp protocol (SSDE: 10.6±1.1 versus 16.1±1.8 mGy; iodine load: 24.8±4versus 31.5±5.5 g iodine, p<0.01). Contrast enhancement, objective image noise, contrast-to-noise-ratio, and visual score of 100 kVp-S were similar to or better than of 120 kVp protocol. CONCLUSION Compared with the 120 kVp protocol, the combined use of 100 kVp and SAFIRE in WBCT for oncology assessment with an SSCT facilitated substantial reduction in the CM and radiation dose while maintaining image quality.
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Affiliation(s)
- Y Nagayama
- Department of Radiology, Kumamoto City Hospital 1-1-60, Koto, Higashi-ku, Kumamoto City, 862-0909, Japan; Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan.
| | - T Nakaura
- Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - S Oda
- Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - A Tsuji
- Department of Radiology, Kumamoto City Hospital 1-1-60, Koto, Higashi-ku, Kumamoto City, 862-0909, Japan
| | - J Urata
- Department of Radiology, Kumamoto City Hospital 1-1-60, Koto, Higashi-ku, Kumamoto City, 862-0909, Japan
| | - M Furusawa
- Department of Radiology, Kumamoto City Hospital 1-1-60, Koto, Higashi-ku, Kumamoto City, 862-0909, Japan
| | - S Tanoue
- Department of Radiology, Kumamoto City Hospital 1-1-60, Koto, Higashi-ku, Kumamoto City, 862-0909, Japan; Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - D Utsunomiya
- Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
| | - Y Yamashita
- Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan
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What Is the Applicability of a Novel Surveillance Concept of Ventilator-Associated Events? Infect Control Hosp Epidemiol 2017; 38:983-988. [DOI: 10.1017/ice.2017.106] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUNDIn 2013, the Centers for Disease Control and Prevention released a novel surveillance concept called the “ventilator-associated event,” which focused surveillance on objective measures of complications among patients that underwent invasive ventilations.OBJECTIVETo evaluate the concordance and possible differences in efficacy (ie, disease severity and outcomes) between 2 surveillance paradigms: (1) infection-related ventilator-associated complications (iVAC) and (2) on conventional ventilator-associated pneumonia (VAP).DESIGNProspective, observational, single-center cohort study.PATIENTSThis study included 85 adult patients that received invasive ventilation for at least 2 consecutive calendar days in a 22-bed, adult, mixed medical-surgical intensive care unit in Finland between October 2014 and June 2015.RESULTSAmong these patients, 9 (10.1 per 1,000 days of mechanical ventilation) developed iVAC (10.6%) and 20 (22.4 per 1,000 days of mechanical ventilation) developed conventional VAP (23.5%). The iVAC indicators were most often caused by atelectasis and fluid overload. Compared with patients with conventional VAP, patients with iVAC had significantly worse respiratory status but no other differences in disease severity or outcomes.CONCLUSIONSThe incidence of conventional VAP was >2-fold that of iVAC, and the surveillance paradigms for VAP and iVAC capture different patterns of disease. Our results suggest that this novel surveillance concept, although based on objective measures of declining oxygenation, actually identified deteriorations of oxygenation due to noninfectious causes.Infect Control Hosp Epidemiol 2017;38:983–988
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Kubo T, Ohno Y, Seo JB, Yamashiro T, Kalender WA, Lee CH, Lynch DA, Kauczor HU, Hatabu H. Securing safe and informative thoracic CT examinations—Progress of radiation dose reduction techniques. Eur J Radiol 2017; 86:313-319. [DOI: 10.1016/j.ejrad.2016.10.012] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Revised: 10/08/2016] [Accepted: 10/12/2016] [Indexed: 12/16/2022]
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