Automatic spectral imaging protocol and iterative reconstruction for radiation dose reduction in typical hepatic hemangioma computed tomography with reduced iodine load: a preliminary study

Li, Wei; Li, Aiyin; Wang, Bin; Niu, Xiuyuan; Cao, Xin; Wang, Xinyi; Shi, Hao

doi:10.1259/bjr.20170978

Cited by 7 publications

(6 citation statements)

References 29 publications

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“…With advances in technology, the radiation exposure dose during the lumbar examination using dual-energy CT with ASiR-V technique is equal to or lower than that with conventional CT (17,18,27). To further validate this, the exposure dosage data for all adults who underwent conventional CT lumbar examinations during July 2018 were retrospectively collected.…”

Section: Ethical Statementmentioning

confidence: 99%

“…Like QCT, DECT can also support separate measurements of the BMD of cortical and trabecular bone (5). Notably, the radiation exposure dose of DECT with the volume-based adaptive statistical iterative reconstruction (ASiR-V) technique is equal to or lower than that of conventional CT (17)(18)(19). DECT also has other potential advantages, including detection of bone marrow edema or tumor infiltration.…”

Section: Introductionmentioning

confidence: 99%

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In vivo quantification of bone mineral density of lumbar vertebrae using fast kVp switching dual-energy CT: correlation with quantitative computed tomography

Zhou

Zhu

You

et al. 2021

Quant Imaging Med Surg

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Background: Osteoporosis is a common, progressive disease related to low bone mineral density (BMD).If it can be diagnosed at an early stage, osteoporosis is treatable. Quantitative computed tomography (QCT) is one of the current reference standards of BMD measurement, but dual-energy computed tomography (DECT) is considered to be a potential alternative. This study aimed to evaluate the feasibility and accuracy of phantomless in vivo DECT-based BMD quantification in comparison with QCT.Methods: A total of 128 consecutive participants who underwent DECT lumbar examinations between July 2018 and February 2019 were retrospectively analyzed. The density of calcium (water), hydroxyapatite (water), calcium (fat), and hydroxyapatite (fat) [D Ca(Wa) , D HAP(Wa) , D Ca(Fat) and D HAP(Fat) , respectively] were measured along with BMD in the trabecular bone of lumbar level 1-2 by DECT and QCT. Linear regression analysis was performed to assess the relationship between DECT-and QCT-derived BMD at both the participant level and the vertebral level. Linear regression models were quantitatively evaluated with adjusted R-square, normalized mean squared error (NMSE) and relative error (RE). Bland-Altman analysis was conducted to assess agreement between measurements. P<0.05 was considered statistically significant.Results: Strong correlations were observed between DECT-and QCT-derived BMD at both the participant level and the vertebral level (adjusted R 2 =0.983-0.987; NMSE = 1.6-2.1%; RE linear =0.6-0.9%).Bland-Altman plots indicated high agreement between both measurements. D Ca(Fat) and D HAP(Fat) showed relatively similar and optimal predictive capability for QCT-derived BMD (both: adjusted R 2 =0.987, NMSE =1.6%, RE linear =0.6%).Conclusions: Fast kVp switching DECT enabled accurate phantomless in vivo BMD quantification of the lumbar spine. D Ca(Fat) and D HAP(Fat) had relatively similar and optimal predictive capability.

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Section: Ethical Statementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

In vivo quantification of bone mineral density of lumbar vertebrae using fast kVp switching dual-energy CT: correlation with quantitative computed tomography

Zhou

Zhu

You

et al. 2021

Quant Imaging Med Surg

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“…In some of the studies reviewed [19][20][21][22][23]27,28,34,35,39,40 , a wide range of net iodine doses used in the different tests is described, in milligrams iodine per weight (mgI/kg), from 280 to 600 mgI/kg using SECT equipment, and when performing the same examination with DECT technology, said dose is reduced to a range of 140-510 mgI/kg.…”

Section: Reduction Of the Icm Dose In Dect Equipmentmentioning

confidence: 99%

Dose reduction of iodinated contrast medium in CT: systematic review of the literature

Araya,

Bianchetti,

Bravo

et al. 2023

RCHRADE

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The implementation of dual-energy computed tomography (DECT) equipment, among many other advantages, has allowed a substantial reduction in the dose of iodinated contrast media (ICM). The present study constitutes the first part of a systematic review on the subject using the preferred reporting items for systematic reviews and meta-analysis method through an electronic search in the Lilacs, PubMed, Scopus, and Web of Science databases. Of 482 potential articles, 23 were ultimately included in this review. The results show that it is feasible to reduce ICM doses between 15.8% and 83% in DECT equipment, obtaining excellent image quality, with signal-to-noise and contrast-to-noise ratios comparable or better than in 120 kVp images obtained with conventional CT equipment and standard doses of ICM. The above, thanks to the use of iterative reconstruction and noise reduction algorithms that allow the low energy images obtained through DECT to be improved.

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“…Previous studies have shown that VMS images at approximately 70 keV (range, 67-72 keV) had lower image noise and a higher contrast-to-noise ratio (CNR) than 120-kVp CT images [20,21]. Moreover, the radiation exposure dose of single source dual-energy CT with the volume-based adaptive statistical iterative reconstruction (ASiR-V) technique is equal to or lower than that of conventional CT [22][23][24]. But, reports on the use of radiomics analysis derived from single source dual-energy CT for osteoporosis prediction is still lacking.…”

Section: Introductionmentioning

confidence: 99%

Prediction of osteoporosis using radiomics analysis derived from single source dual energy CT

Wang

Zhou

Chen

et al. 2023

BMC Musculoskelet Disord

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Background With the aging population of society, the incidence rate of osteoporosis is increasing year by year. Early diagnosis of osteoporosis plays a significant role in the progress of disease prevention. As newly developed technology, computed tomography (CT) radiomics could discover radiomic features difficult to recognize visually, providing convenient, comprehensive and accurate osteoporosis diagnosis. This study aimed to develop and validate a clinical-radiomics model based on the monochromatic imaging of single source dual-energy CT for osteoporosis prediction. Methods One hundred sixty-four participants who underwent both single source dual-energy CT and quantitative computed tomography (QCT) lumbar-spine examination were enrolled in a study cohort including training datasets (n = 114 [30 osteoporosis and 84 non-osteoporosis]) and validation datasets (n = 50 [12 osteoporosis and 38 non-osteoporosis]). One hundred seven radiomics features were extracted from 70-keV monochromatic CT images. With QCT as the reference standard, a radiomics signature was built by using least absolute shrinkage and selection operator (LASSO) regression on the basis of reproducible features. A clinical-radiomics model was constructed by incorporating the radiomics signature and a significant clinical predictor (age) using multivariate logistic regression analysis. Model performance was assessed by its calibration, discrimination and clinical usefulness. Results The radiomics signature comprised 14 selected features and showed good calibration and discrimination in both training and validation cohorts. The clinical-radiomics model, which incorporated the radiomics signature and a significant clinical predictor (age), also showed good discrimination, with an area under the receiver operating characteristic curve (AUC) of 0.938 (95% confidence interval, 0.903–0.952) in the training cohort and an AUC of 0.988 (95% confidence interval, 0.967–0.998) in the validation cohort, and good calibration. The clinical-radiomics model stratified participants into groups with osteoporosis and non-osteoporosis with an accuracy of 94.0% in the validation cohort. Decision curve analysis (DCA) demonstrated that the radiomics signature and the clinical-radiomics model were clinically useful. Conclusions The clinical-radiomics model incorporating the radiomics signature and a clinical parameter had a good ability to predict osteoporosis based on dual-energy CT monoenergetic imaging.

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Automatic spectral imaging protocol and iterative reconstruction for radiation dose reduction in typical hepatic hemangioma computed tomography with reduced iodine load: a preliminary study

Cited by 7 publications

References 29 publications

In vivo quantification of bone mineral density of lumbar vertebrae using fast kVp switching dual-energy CT: correlation with quantitative computed tomography

In vivo quantification of bone mineral density of lumbar vertebrae using fast kVp switching dual-energy CT: correlation with quantitative computed tomography

Dose reduction of iodinated contrast medium in CT: systematic review of the literature

Prediction of osteoporosis using radiomics analysis derived from single source dual energy CT

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