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Nocum DJ, Liang EY. Retrospective case-control study on radiation dose for uterine artery embolization procedures. J Med Imaging Radiat Oncol 2024. [PMID: 38591152 DOI: 10.1111/1754-9485.13653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Accepted: 03/26/2024] [Indexed: 04/10/2024]
Abstract
INTRODUCTION Uterine artery embolization is performed in pre-menopausal women. Understanding the contribution of radiation dose at each stage of the procedure is important for potential dose reduction. The aim was to retrospectively analyse radiation dose on a per-procedural-stage basis, comparing digital subtraction angiography (DSA) and conventional roadmap (CRM). METHODS Group A consisted of 50 patients where DSA was used for road mapping at all stages: (I) Aortogram, (II) Left internal iliac artery (IIA) DSA, (III) Left uterine artery (UA) DSA, (IV) Right IIA DSA and (V) Right UA DSA. Group B included 50 patients, where CRM was used for road mapping at stages (II) and (IV). RESULTS For Group A, mean total dose-area product (DAP) was 39.7 Gy·cm2; mean DAP for each stage were (I) Aortogram = 3.4 Gy·cm2, (II) Left IIA DSA = 5.9 Gy·cm2, (III) Left UA DSA = 3.2 Gy·cm2, (IV) Right IIA DSA = 5.5 Gy·cm2 and (V) Right UA DSA = 3.0 Gy·cm2. For Group B, mean total DAP was 33.6 Gy·cm2, mean DAP for each stage were (I) Aortogram = 3.3 Gy·cm2, (II) Left IIA CRM = 1.5 Gy·cm2, (III) Left UA DSA = 3.3 Gy·cm2, (IV) Right IIA CRM = 1.5 Gy·cm2 and (V) Right UA DSA = 3.3 Gy·cm2. Fluoroscopy time was 10 and 9.4 min for Groups A and B, respectively. CONCLUSION The highest road-mapping radiation dose contribution was from bilateral IIA DSA. The use of CRM, intermittent fluoroscopy and elimination of the aortogram is recommended to further reduce procedural radiation dose.
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Affiliation(s)
- Don J Nocum
- Discipline of Medical Imaging Science, Faculty of Medicine and Health, Sydney School of Health Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Eisen Y Liang
- SAN Radiology and Nuclear Medicine, Sydney Adventist Hospital, Sydney, New South Wales, Australia
- Sydney Fibroid Clinic, Sydney, New South Wales, Australia
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Nocum DJ, Robinson J, Halaki M, Båth M, Thompson JD, Thompson N, Moscova M, Liang E, Mekiš N, Reed W. Predictors of radiation dose for uterine artery embolisation are angiography system-dependent. JOURNAL OF RADIOLOGICAL PROTECTION : OFFICIAL JOURNAL OF THE SOCIETY FOR RADIOLOGICAL PROTECTION 2022; 42:011502. [PMID: 34985415 DOI: 10.1088/1361-6498/ac480b] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 01/04/2022] [Indexed: 06/14/2023]
Abstract
This study sought to achieve radiation dose reductions for patients receiving uterine artery embolisation (UAE) by evaluating radiation dose measurements for the preceding generation (Allura) and upgraded (Azurion) angiography system. Previous UAE regression models in the literature could not be applied to this centre's practice due to being based on different angiography systems and radiation dose predictor variables. The aims of this study were to establish whether radiation dose is reduced with the upgraded angiography system and to develop a regression model to determine predictors of radiation dose specific to the upgraded angiography system. A comparison between Group I (Allura,n= 95) and Group II (Azurion,n= 95) demonstrated a significant reduction in kerma-area product (KAP) and Ka, r (reference air kerma) by 63% (143.2 Gy cm2vs 52.9 Gy cm2;P< 0.001,d= 0.8) and 67% (0.6 Gy vs 0.2 Gy;P< 0.001,d= 0.8), respectively. The multivariable linear regression (MLR) model identified the UAE radiation dose predictors for KAP on the upgraded angiography system as total fluoroscopy dose, Ka, r, and total uterus volume. The predictive accuracy of the MLR model was assessed using a Bland-Altman plot. The mean difference was 0.39 Gy cm2and the limits of agreement were +28.49 and -27.71 Gy cm2, and thus illustrated no proportional bias. The resultant MLR model was considered system-dependent and validated the upgraded angiography system and its advance capabilities to significantly reduce radiation dose. Interventional radiologist and interventional radiographer familiarisation of the system's features and the implementation of the newly established MLR model would further facilitate dose optimisation for all centres performing UAE procedures using the upgraded angiography system.
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Affiliation(s)
- Don J Nocum
- SAN Radiology & Nuclear Medicine, Sydney Adventist Hospital, Wahroonga, New South Wales, Australia
- Discipline of Medical Imaging Science, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - John Robinson
- Discipline of Medical Imaging Science, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Medical Imaging Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging Science, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Mark Halaki
- Discipline of Exercise and Sport Science, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Magnus Båth
- Department of Medical Radiation Sciences, Institute of Clinical Sciences, The Sahlgrenska Academy, University of Gothenburg, Gothenburg SE-413 45, Sweden
- Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, SE-413 45 Gothenburg, Sweden
| | - John D Thompson
- Department of Radiography, School of Health and Society, University of Salford, Salford M6 6PU, United Kingdom
| | - Nadine Thompson
- SAN Radiology & Nuclear Medicine, Sydney Adventist Hospital, Wahroonga, New South Wales, Australia
- School of Medicine, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Michelle Moscova
- Faculty of Medicine and Health, School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Eisen Liang
- SAN Radiology & Nuclear Medicine, Sydney Adventist Hospital, Wahroonga, New South Wales, Australia
- Sydney Fibroid Clinic, Sydney Adventist Hospital, Wahroonga, New South Wales, Australia
| | - Nejc Mekiš
- Medical Imaging and Radiotherapy Department, Faculty of Health Sciences, University of Ljubljana, Ljubljana, Slovenia
| | - Warren Reed
- Discipline of Medical Imaging Science, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Medical Imaging Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging Science, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
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Nocum DJ, Robinson J, Halaki M, Båth M, Mekiš N, Liang E, Thompson N, Moscova M, Reed W. UTERINE ARTERY EMBOLISATION: CONTINUOUS QUALITY IMPROVEMENT REDUCES RADIATION DOSE WHILE MAINTAINING IMAGE QUALITY. RADIATION PROTECTION DOSIMETRY 2021; 196:159-166. [PMID: 34595527 DOI: 10.1093/rpd/ncab145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 08/01/2021] [Accepted: 09/09/2021] [Indexed: 06/13/2023]
Abstract
The purpose of this study was to introduce a continuous quality improvement (CQI) program for radiation dose optimisation during uterine artery embolisation (UAE) and assess its impact on dose reduction and image quality. The CQI program investigated the effects of optimising radiation dose parameters on the kerma-area product (KAP) and image quality when comparing a 'CQI intervention' group (n = 50) and 'Control' group (n = 50). Visual grading characteristics (VGC) analysis was used to assess image quality, using the 'Control' group as a reference. A significant reduction in KAP by 17% (P = 0.041, d = 0.2) and reference air kerma (Ka, r) by 20% (P = 0.027, d = 0.2) was shown between the two groups. The VGC analysis resulted in an area under the VGC curve (AUCVGC) of 0.54, indicating no significant difference in image quality between the two groups (P = 0.670). The implementation of the CQI program and optimisation of radiation dose parameters improved the UAE radiation dose practices at our centre. The dose reduction demonstrated no detrimental effects on image quality.
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Affiliation(s)
- Don J Nocum
- San Radiology & Nuclear Medicine, Sydney Adventist Hospital, Wahroonga, NSW, Australia
- Discipline of Medical Imaging Science, Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - John Robinson
- Discipline of Medical Imaging Science, Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- Medical Imaging Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging Science, Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Mark Halaki
- Discipline of Exercise and Sports Science, Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Magnus Båth
- Department of Radiation Physics, Institute of Clinical Sciences, The Sahlgrenska Academy, University of Gothenburg, SE-413 45 Gothenburg, Sweden
- Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, SE-413 45 Gothenburg, Sweden
| | - Nejc Mekiš
- Medical Imaging and Radiotherapy Department, Faculty of Health Sciences, University of Ljubljana, Ljubljana, Slovenia
| | - Eisen Liang
- San Radiology & Nuclear Medicine, Sydney Adventist Hospital, Wahroonga, NSW, Australia
- Sydney Adventist Hospital Clinical School, Faculty of Medicine and Health, University of Sydney, Wahroonga, NSW, Australia
| | - Nadine Thompson
- San Radiology & Nuclear Medicine, Sydney Adventist Hospital, Wahroonga, NSW, Australia
- Sydney Adventist Hospital Clinical School, Faculty of Medicine and Health, University of Sydney, Wahroonga, NSW, Australia
| | - Michelle Moscova
- School of Medical Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Warren Reed
- Discipline of Medical Imaging Science, Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- Medical Imaging Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging Science, Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
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Nocum DJ, Robinson J, Reed W. The role of quality improvement in radiography. J Med Radiat Sci 2021; 68:214-216. [PMID: 34214234 PMCID: PMC8424326 DOI: 10.1002/jmrs.524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 06/07/2021] [Accepted: 06/19/2021] [Indexed: 11/09/2022] Open
Abstract
This editorial discusses the importance of quality improvement and quality assurance in the provision of medical imaging services, by exploring two studies which aim to improve the quality of practice in emergency departments (ED). The quality of work by ED radiographers are continually planned, measured, assessed, and improved to enhance patient care outcomes - from the accurate diagnosis of patients, maintaining the consistency of diagnostic images, and to minimising radiation exposure to patients.
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Affiliation(s)
- Don J. Nocum
- San Radiology & Nuclear MedicineSydney Adventist HospitalWahroongaNew South WalesAustralia
- Discipline of Medical Imaging Science, Sydney School of Health Sciences, Faculty of Medicine and HealthThe University of SydneySydneyNew South WalesAustralia
| | - John Robinson
- Discipline of Medical Imaging Science, Sydney School of Health Sciences, Faculty of Medicine and HealthThe University of SydneySydneyNew South WalesAustralia
- Medical Imaging Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging Science, Sydney School of Health Sciences, Faculty of Medicine and HealthThe University of SydneySydneyNew South WalesAustralia
| | - Warren Reed
- Discipline of Medical Imaging Science, Sydney School of Health Sciences, Faculty of Medicine and HealthThe University of SydneySydneyNew South WalesAustralia
- Medical Imaging Optimisation and Perception Group (MIOPeG), Discipline of Medical Imaging Science, Sydney School of Health Sciences, Faculty of Medicine and HealthThe University of SydneySydneyNew South WalesAustralia
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