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Li G, Zhang L, Liu T, Wang J, Cao Z, Lu G, Zhang L. Exploration of thoracoabdominal aortic mixed reality optimisation and its clinical application value in type A aortic dissection. Eur Radiol 2023; 33:4313-4322. [PMID: 36622412 DOI: 10.1007/s00330-022-09372-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 10/08/2022] [Accepted: 12/08/2022] [Indexed: 01/10/2023]
Abstract
OBJECTIVES This study aimed to explore the feasibility of low-dose computed tomography (CT)-based mixed reality and its clinical role in type A aortic dissection (TAAD) operations. METHODS Eighty-seven patients diagnosed with TAAD were prospectively enrolled and underwent thoracoabdominal aorta mixed reality. They were randomly divided into a low-dose mixed reality group, a conventional mixed reality group and a conventional thoracoabdominal aorta computed tomography angiography (CTA) group. Three-dimensional modelling, mixed reality and CT reconstruction technology were selected. The radiation dose and image quality were compared using Student's t test. Doctors with different seniorities evaluated the clinical application value of thoracoabdominal aorta mixed reality using a Likert scale. The consistency was assessed using the Cohen kappa coefficient (k). The Pearson chi-square test was used to test the correlation of perioperative index results in TAAD operations. RESULTS Low-dose CT technology can be effectively applied to thoracoabdominal aorta mixed reality and reduces the radiation dose by approximately 59% and the operation time and auxiliary cardiopulmonary bypass time by approximately 22% and 29%, respectively. The subjective scores of doctors with different seniorities on the clinical application value of thoracoabdominal aorta mixed reality were higher than those of thoracoabdominal aorta CTA (all p > 0.05). CONCLUSIONS Low-dose CT can be effectively used in thoracoabdominal aortic mixed reality to reduce the radiation dose while ensuring quality. Low-dose thoracoabdominal aortic mixed reality has clinical application value and can effectively reduce the operation time and auxiliary cardiopulmonary bypass time in TAAD operations. KEY POINTS • Low-dose CT technology can ensure the mixed reality quality of the thoracoabdominal aorta with a radiation dose reduction of approximately 59%. • Compared with thoracoabdominal aorta CTA, low-dose thoracoabdominal aorta mixed reality can reduce the operation time and auxiliary cardiopulmonary bypass time by approximately 20% and 29%, respectively, in TAAD operations. • The application value of low-dose thoracoabdominal aorta mixed reality in operation scheme formulation, operation risk assessment, operation navigation and diagnosis and treatment under safe distance was greater than that of thoracoabdominal aorta CTA in TAAD.
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Affiliation(s)
- Guan Li
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, 305 Eastern Zhongshan Road, Nanjing, 210002, China
| | - Lei Zhang
- Department of Cardiovascular Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Tao Liu
- Department of Cardiovascular Surgery, General Hospital of Northern Theater Command, Shenyang, China
| | - Jinbao Wang
- Department of Radiology, General Hospital of Northern Theater Command, Shenyang, China
| | - Zhiqiang Cao
- Department of Digital Lab, Shengjing Hospital Affiliated with China Medical University, Shenyang, China
| | - Guangming Lu
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, 305 Eastern Zhongshan Road, Nanjing, 210002, China.
| | - Longjiang Zhang
- Department of Radiology, Jinling Hospital, Medical School of Nanjing University, 305 Eastern Zhongshan Road, Nanjing, 210002, China.
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Ko JP, Goldstein JM, Latson LA, Azour L, Gozansky EK, Moore W, Patel S, Hutchinson B. Chest CT Angiography for Acute Aortic Pathologic Conditions: Pearls and Pitfalls. Radiographics 2021; 41:399-424. [PMID: 33646903 DOI: 10.1148/rg.2021200055] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Chest CT angiography (CTA) is essential in the diagnosis of acute aortic syndromes. Chest CTA quality can be optimized with attention to technical parameters pertaining to noncontrast imaging, timing of contrast-enhanced imaging, contrast material volume, kilovolt potential, tube-current modulation, and decisions regarding electrocardiographic-gating and ultra-fast imaging, which may affect the accurate diagnosis of acute aortic syndromes. An understanding of methods to apply to address suboptimal image quality is useful, as the accurate identification of acute aortic syndromes is essential for appropriate patient management. Acute aortic syndromes have high morbidity and mortality, particularly when involving the ascending aorta, and include classic aortic dissection, penetrating atherosclerotic ulcer, and acute intramural hematoma. An understanding of the pathogenesis and distinguishing imaging features of acute aortic syndromes and aortic rupture and some less common manifestations is helpful when interpreting imaging examinations. Related entities, such as ulcerated plaque, ulcerlike projections, and intramural blood pools, and mimics, such as vasculitis and aortic thrombus, are important to recognize; knowledge of these is important to avoid interpretive pitfalls. In addition, an awareness of postsurgical aortic changes can be useful when interpreting CTA examinations when patient history is incomplete. The authors review technical considerations when performing CTA, discuss acute aortic syndromes, and highlight diagnostic challenges encountered when interpreting aortic CTA examinations. ©RSNA, 2021.
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Affiliation(s)
- Jane P Ko
- From the Department of Radiology, NYU Langone Health, 660 First Ave, Room 747, New York, NY 10016 (J.P.K., J.M.G., L.A.L., L.A., E.K.G., W.M.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (S.P.); and Department of Radiology, Mater Misericordiae University Hospital, Dublin, Ireland (B.H.)
| | - Jonathan M Goldstein
- From the Department of Radiology, NYU Langone Health, 660 First Ave, Room 747, New York, NY 10016 (J.P.K., J.M.G., L.A.L., L.A., E.K.G., W.M.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (S.P.); and Department of Radiology, Mater Misericordiae University Hospital, Dublin, Ireland (B.H.)
| | - Larry A Latson
- From the Department of Radiology, NYU Langone Health, 660 First Ave, Room 747, New York, NY 10016 (J.P.K., J.M.G., L.A.L., L.A., E.K.G., W.M.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (S.P.); and Department of Radiology, Mater Misericordiae University Hospital, Dublin, Ireland (B.H.)
| | - Lea Azour
- From the Department of Radiology, NYU Langone Health, 660 First Ave, Room 747, New York, NY 10016 (J.P.K., J.M.G., L.A.L., L.A., E.K.G., W.M.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (S.P.); and Department of Radiology, Mater Misericordiae University Hospital, Dublin, Ireland (B.H.)
| | - Elliott K Gozansky
- From the Department of Radiology, NYU Langone Health, 660 First Ave, Room 747, New York, NY 10016 (J.P.K., J.M.G., L.A.L., L.A., E.K.G., W.M.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (S.P.); and Department of Radiology, Mater Misericordiae University Hospital, Dublin, Ireland (B.H.)
| | - William Moore
- From the Department of Radiology, NYU Langone Health, 660 First Ave, Room 747, New York, NY 10016 (J.P.K., J.M.G., L.A.L., L.A., E.K.G., W.M.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (S.P.); and Department of Radiology, Mater Misericordiae University Hospital, Dublin, Ireland (B.H.)
| | - Smita Patel
- From the Department of Radiology, NYU Langone Health, 660 First Ave, Room 747, New York, NY 10016 (J.P.K., J.M.G., L.A.L., L.A., E.K.G., W.M.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (S.P.); and Department of Radiology, Mater Misericordiae University Hospital, Dublin, Ireland (B.H.)
| | - Barry Hutchinson
- From the Department of Radiology, NYU Langone Health, 660 First Ave, Room 747, New York, NY 10016 (J.P.K., J.M.G., L.A.L., L.A., E.K.G., W.M.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (S.P.); and Department of Radiology, Mater Misericordiae University Hospital, Dublin, Ireland (B.H.)
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PENG BINGRU, KITTIPAYAK SAMRIT, PAN LUNGFA, PAN LUNGKWANG. OPTIMIZING THE MINIMUM DETECTABLE DIFFERENCE OF COMPUTED TOMOGRAPHY SCANNED IMAGES VIA THE TAGUCHI ANALYSIS: A FEASIBILITY STUDY WITH AN INDIGENOUS HEPATIC PHANTOM AND A LINE GROUP GAUGE. J MECH MED BIOL 2019. [DOI: 10.1142/s0219519419400487] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Objective: The minimum detectable difference (MDD) of computed tomography (CT) scanned images was quantified and optimized according to an indigenous hepatic phantom, line group gauge and Taguchi [Formula: see text] optimization analysis in this work. Methods: Optimal combinations of CT scan factors in every group with the level organization were judged using the Taguchi analysis, in which every factor was organized into only 18 groups, creating evaluated outcomes with the same confidence as if every factor was analyzed independently. The five practical factors of the CT scan were (1) kVp, (2) mAs, (3) pitch increment, (4) field of view (FOV) and (5) rotation time for one loop of CT scan. Insofar as each factor had two or three levels, the total number of 162 (i.e., [Formula: see text]) combinations was considered. Results: The optimal setting was 120[Formula: see text]kVp, 300[Formula: see text]mAs, 0.641 pitch, 320[Formula: see text]mm FOV and 1.0[Formula: see text]s of rotation time of CT scan. The minimal MDD was 2.65[Formula: see text]mm under 0.39[Formula: see text]mm of the slit depth from the revised Student’s [Formula: see text]-test with a 95% confidence level. In contrast, the MDD of conventional and the best one (no. 7) among all original 18 groups were 3.27[Formula: see text]mm and 2.93[Formula: see text]mm for 0.43[Formula: see text]mm and 0.41[Formula: see text]mm slit depths, respectively. Conclusion: The Taguchi analysis was found very lucrative for the design of imaging analysis in practical diagnosis. The indigenous line group gauge and hepatic phantom also proved to be suitable in simulating the human body in real hepatic carcinoma examination.
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Affiliation(s)
- BING-RU PENG
- Graduate Institute of Radiological Science, Central Taiwan University of Science and Technology, Takun, Taichung 406, Taiwan, ROC
- Department of Radiology Taichung, Armed Forces General Hospital, Taichung 411, Taiwan, ROC
| | - SAMRIT KITTIPAYAK
- Department of Radiological Technology, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand
| | - LUNG-FA PAN
- Graduate Institute of Radiological Science, Central Taiwan University of Science and Technology, Takun, Taichung 406, Taiwan, ROC
- Department of Cardiology, Taichung Armed Forces, General Hospital, Taichung 411, Taiwan, ROC
| | - LUNG-KWANG PAN
- Graduate Institute of Radiological Science, Central Taiwan University of Science and Technology, Takun, Taichung 406, Taiwan, ROC
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Hou P, Feng X, Liu J, Wang X, Jiang Y, Dong L, Gao J. Low Tube Voltage and Iterative Model Reconstruction in Follow-up CT Angiography After Thoracic Endovascular Aortic Repair: Ultra-low Radiation Exposure and Contrast Medium Dose. Acad Radiol 2018; 25:494-501. [PMID: 29249576 DOI: 10.1016/j.acra.2017.11.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Revised: 10/31/2017] [Accepted: 11/03/2017] [Indexed: 12/27/2022]
Abstract
RATIONALE AND OBJECTIVES This study aimed to investigate the feasibility of reducing radiation exposure and contrast medium (CM) dose in follow-up computed tomography angiography (CTA) after thoracic endovascular aortic repair (TEVAR) using low tube voltage and knowledge-based iterative model reconstruction (IMR). MATERIALS AND METHODS Thirty-six patients that required follow-up CTA after TEVAR were included in this intra-individual study. The conventional protocol with standard tube voltage of 120 kVp and CM volume of 70 mL was applied in the first follow-up CTA of all the patients (control group A). The ultra-low CM dose protocol with low tube voltage of 80 kVp and weight-adapted CM volume of 0.4 mL/kg was utilized in the second follow-up CTA (study group B). Set A.FBP (group A filtered back-projection) contained images for group A that were reconstructed through FBP method. Three sets (B.FBP, B.HIR, and B.IMR) for group B were reconstructed using three methods, FBP, hybrid iterative reconstruction (HIR), and IMR, respectively. Objective measurements including aortic attenuations, image noise, contrast-to-noise ratios (CNRs), and figure of merit of CNR (FOMCNR), and subjective rating scores of the four image sets were compared. RESULTS Compared to the images in set A.FBP, the images in set B.IMR had better quality in terms of equivalent attenuation values, equivalent subjective scores, lower noise, higher or equivalent CNRs, and higher FOMCNR. The quality of images in sets B.FBP and B.HIR was unacceptable. The radiation exposure and CM dose in group B were 1.94 mGy and 28 ± 5 mL, respectively, representing reductions of 77.6% (P < .001) and 60% (P < .001) as compared to those in group A. CONCLUSIONS In follow-up examinations after TEVAR, CTA with ultra-low radiation exposure and CM dose is feasible using low tube voltage and IMR for nonobese patients.
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Affiliation(s)
- Ping Hou
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, Henan Province 450052, China
| | - Xiangnan Feng
- School of Economics and Management, Southwest Jiaotong University, Chengdu, China
| | - Jie Liu
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, Henan Province 450052, China
| | - Xiaopeng Wang
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, Henan Province 450052, China
| | - Yaojun Jiang
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, Henan Province 450052, China
| | - Leigang Dong
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, Henan Province 450052, China
| | - Jianbo Gao
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, Henan Province 450052, China.
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