Determination of a suitable low‐dose abdominopelvic <scp>CT</scp> protocol using model‐based iterative reconstruction through cadaveric study

Moloney, Fiachra; Twomey, Maria; Fama, Daniel; Balta, Joy Y.; James, Karl; Kavanagh, Richard G.; Moore, Niamh; Murphy, Mary; O’Mahony, Siobhain M.; Maher, Michael M.; Cryan, John F.; O’Connor, Owen J.

doi:10.1111/1754-9485.12733

Cited by 8 publications

(8 citation statements)

References 39 publications

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“…There was no statistically significant difference in CT numbers among the 6 reconstructed image sets; the noise value of MBIR image was the lowest, followed by ASIR100%; with the decrease of ASIR weight, the noise value increased, and that of FBP image was the highest; compared with FBP image, the noise value of MBIR image was reduced by 64.03%; the trends of SNR and CNR were opposite to noise value, those of MBIR image were the highest, and those of FBP image were the lowest, of which, the CNR of MBIR image increased by 165.68% in comparison with that of FBP. MBIR has been applied in clinical practice; through the analysis of the existing literatures, MBIR can greatly reduce noise and dramatically improve image quality [11][12][13][14][15][16][17][18], so, we evaluated 0.625mm thin slice image quality instead of routine 5mm images (with ASIR40%) to obtain more details. In addition, it has been reported that MBIR can improve the recognition of necrotic lesions in children and is suitable for displaying the density difference of soft tissue [20].…”

Section: Objective Image Qualitymentioning

confidence: 99%

Performance evaluation of two iterative reconstruction algorithms, MBIR and ASIR, in low radiation dose and low contrast dose abdominal CT in children

et al. 2020

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Background: The adverse effect of low-dose CT on image quality may be mitigated using iterative reconstructions. The purpose of this study was to evaluate the performance of the full model-based iterative reconstruction (MBIR) and adaptive statistical reconstruction (ASIR) algorithms in low radiation dose and low contrast dose abdominal contrast-enhanced CT (CECT) in children. Methods: A total of 59 children (32 males and 27 females) undergoing low radiation dose (100kVp) and low contrast dose (270 mgI/ml) abdominal CECT were enrolled. The median age was 4.0 years (ranging from 0.3 to 13 years). The raw data were reconstructed with MBIR, ASIR and filtered back projection (FBP) algorithms into 6 groups (MBIR, 100%ASIR, 80%ASIR, 60%ASIR, 40%ASIR and FBP). The CT numbers, standard deviations, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of liver, pancreas, kidney and abdominal aorta were measured. Two radiologists independently evaluated the subjective image quality including the overall image noise and structure display ability on a 4-point scale with 3 being clinically acceptable. The measurements among the reconstruction groups were compared using one-way ANOVA. Results: The overall image noise score and display ability were 4.00±0.00 and 4.00±0.00 with MBIR, and 3.27±0.33 and 3.25±0.43 with ASIR100%, respectively, which met the diagnostic requirement; other reconstructions couldn't meet the diagnostic requirements. Compared with FBP images, the noise of MBIR images was reduced by 62.86%-65.73% for the respective organs (F=48.15-80.47, P<0.05), and CNR increased by 151.38%-170.69% (F=22.94-38.02, P<0.05). Conclusions: MBIR or ASIR100% improves the image quality of low radiation dose and contrast dose abdominal CT in children to meet the diagnostic requirements, and MBIR has the best performance. Trial registration: retrospectively registered.

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Section: Objective Image Qualitymentioning

confidence: 99%

Performance evaluation of two iterative reconstruction algorithms, MBIR and ASIR, in low radiation dose and low contrast dose abdominal CT in children

et al. 2020

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“…Only one cadaver study of IR in abdominal CT has been published so far. Moloney et al 36 evaluated ASIR and MBIR in five cadavers at full dose and three low dose levels. SNR was significantly higher in MBIR image series, compared to FBP and ASIR images.…”

Section: Discussionmentioning

confidence: 99%

Iterative reconstruction improves image quality and reduces radiation dose in trauma protocols; A human cadaver study

Godt

Johansen

Martinsen

et al. 2021

Acta Radiologica Open

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Background Radiation-related cancer risk is an object of concern in CT of trauma patients, as these represent a young population. Different radiation reducing methods, including iterative reconstruction (IR), and spilt bolus techniques have been introduced in the recent years in different large scale trauma centers. Purpose To compare image quality in human cadaver exposed to thoracoabdominal computed tomography using IR and standard filtered back-projection (FBP) at different dose levels. Material and methods Ten cadavers were scanned at full dose and a dose reduction in CTDIvol of 5 mGy (low dose 1) and 7.5 mGy (low dose 2) on a Siemens Definition Flash 128-slice computed tomography scanner. Low dose images were reconstructed with FBP and Sinogram affirmed iterative reconstruction (SAFIRE) level 2 and 4. Quantitative image quality was analyzed by comparison of contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR). Qualitative image quality was evaluated by use of visual grading regression (VGR) by four radiologists. Results Readers preferred SAFIRE reconstructed images over FBP at a dose reduction of 40% (low dose 1) and 56% (low dose 2), with significant difference in overall impression of image quality. CNR and SNR showed significant improvement for images reconstructed with SAFIRE 2 and 4 compared to FBP at both low dose levels. Conclusions Iterative image reconstruction, SAFIRE 2 and 4, resulted in equal or improved image quality at a dose reduction of up to 56% compared to full dose FBP and may be used a strong radiation reduction tool in the young trauma population.

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“…Low-dose protocols have been studied for APCT, and reductions of 2–60% of the standard dose are possible without affecting image quality or muscle tissue measurements [27-29]; in fact, the radiation dose in nonobese patients may be as low as a standard radiography [30]. Automated analyses can also be performed, further facilitating PMA measurements [31].…”

Section: Discussion/conclusionmentioning

confidence: 99%

Low Skeletal Muscle Mass Independently Predicts Mortality in Patients with Chronic Heart Failure after an Acute Hospitalization

et al. 2019

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Background: Heart failure (HF) is a syndrome associated with exercise intolerance, and its symptoms are more common in patients with low skeletal muscle mass (SMM). Estimation of muscle mass can be cumbersome and unreliable, particularly in patients with varying body weight. The psoas muscle area (PMA) can be used as a surrogate of sarcopenia and has been associated with poor outcomes in other populations. Objectives: The aim of this study was to assess if sarcopenia is associated with the survival of patients with HF after an acute hospitalization. Method: We retrospectively studied a cohort of 160 patients with HF who had abdominopelvic computed tomography during an acute hospitalization. We obtained standardized measurements of their PMA and defined sarcopenia as the lowest gender-based tertile of the said area. The patients were followed until death or discontinuation of care. We used Kaplan-Meier estimates and Cox regression analysis to assess the relationship between sarcopenia and all-cause mortality. Results: We found that the 52 patients with sarcopenia had 4.5 times the risk of all-cause mortality at 1 year compared to the rest of the cohort (CI 1.784–11.765; p = 0.0016) after adjusting for significant covariates. Stratification by age and sex revealed that this association could be limited to males and patients < 75 years old. Conclusion: The PMA, used as a surrogate of low SMM, is independently associated with an increased risk of late mortality after an acute hospitalization in patients with HF.

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Determination of a suitable low‐dose abdominopelvic CT protocol using model‐based iterative reconstruction through cadaveric study

Abstract: Access to the full text of the published version may require a subscription. This cadaveric study demonstrates that MBIR reduces image noise and improves image 54 quality in abdominopelvic CT images acquired with dose reductions of up to 62%. Rights

Cited by 8 publications

References 39 publications

Performance evaluation of two iterative reconstruction algorithms, MBIR and ASIR, in low radiation dose and low contrast dose abdominal CT in children

Performance evaluation of two iterative reconstruction algorithms, MBIR and ASIR, in low radiation dose and low contrast dose abdominal CT in children

Iterative reconstruction improves image quality and reduces radiation dose in trauma protocols; A human cadaver study

Low Skeletal Muscle Mass Independently Predicts Mortality in Patients with Chronic Heart Failure after an Acute Hospitalization

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