Quantification of pancreas fat on dual-energy computed tomography: comparison with six-point Dixon magnetic resonance imaging

Kameda, Fumi; Tanabe, Masahiro; Onoda, Hideko; Higashi, Mayumi; Ariyoshi, Shoko; Ihara, Kenichiro; Iida, Etsushi; Furukawa, Matakazu; Okada, Munemasa; Ito, Katsuyoshi

doi:10.1007/s00261-020-02583-7

Cited by 11 publications

(8 citation statements)

References 26 publications

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“…Previous studies 32,33 revealed that a good correlation between fat quantification by DECT and MRI was found. However, in our study, DECT demonstrated a systematic overestimation.…”

Section: Discussionmentioning

confidence: 89%

“…Dual-energy CT for liver fat quantification can be performed on both contrast and non-contrast-enhanced data sets, making it applicable in various clinical scenarios. 21,22,33 Chemotherapy is a commonly used treatment for breast cancer patients, and minimizing the use of iodine contrast media to prevent kidney damage is vital. In our study, we used non-contrast-enhanced DECT-FVF to evaluate hepatic steatosis, which was also found to be strongly correlated with MRI-PDFF, including in patients with breast cancer who received NAC.…”

Section: Discussionmentioning

confidence: 99%

“…Dual-energy CT for liver fat quantification can be performed on both contrast and non–contrast-enhanced data sets, making it applicable in various clinical scenarios 21,22,33 . Chemotherapy is a commonly used treatment for breast cancer patients, and minimizing the use of iodine contrast media to prevent kidney damage is vital.…”

Section: Discussionmentioning

confidence: 99%

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Quantification of Hepatic Steatosis on Dual-Energy CT in Comparison With MRI mDIXON-Quant Sequence in Breast Cancer

Wang¹,

Pan

Zhou

et al. 2023

J Comput Assist Tomogr

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Objective The study aimed to evaluate the correlation and diagnostic value of liver fat quantification in unenhanced dual-energy CT (DECT) using quantitative magnetic resonance imaging (MRI) mDIXON-Quant sequence as reference standard in patients with breast cancer. Methods Patients with breast cancer were prospectively recruited between June 2018 and April 2020. Each patient underwent liver DECT and MRI mDIXON-Quant examination. The DECT–fat volume fraction (FVF) and liver-spleen attenuation differences were compared with the MRI–proton density fat fraction using scatterplots, Bland-Altman plots, and concordance correlation coefficient. Receiver operating characteristic curves were established to determine the diagnostic accuracy of hepatic steatosis by DECT. Results A total of 216 patients with breast cancer (mean age, 50.08 ± 9.33 years) were evaluated. The DECT-FVF correlated well with MRI–proton density fat fraction (r 2 = 0.902; P < 0.001), which was higher than the difference in liver-spleen attenuation (r 2 = 0.728; P < 0.001). Bland-Altman analysis revealed slight positive bias; the mean difference was 3.986. The DECT-FVF yielded an average concordance correlation coefficient of 0.677, which was higher than the difference of liver-spleen attenuation (−0.544). The DECT-FVF and the difference in liver-spleen attenuation both lead to mild overestimation of hepatic steatosis. The areas under the curve of DECT-FVF (0.956) were higher than the difference in liver-spleen attenuation (0.807) in identifying hepatic steatosis (P < 0.001). Conclusions Dual-energy CT–FVF may serve as a reliable screening and quantitative tool for hepatic steatosis in patients with breast cancer.

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“…Previous studies 32,33 revealed that a good correlation between fat quantification by DECT and MRI was found. However, in our study, DECT demonstrated a systematic overestimation.…”

Section: Discussionmentioning

confidence: 89%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Quantification of Hepatic Steatosis on Dual-Energy CT in Comparison With MRI mDIXON-Quant Sequence in Breast Cancer

Wang¹,

Pan

Zhou

et al. 2023

J Comput Assist Tomogr

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“…Fat fraction assessment has demonstrated commendable results in quantifying hepatic fat [ 25 , 26 ] and assessing pancreatic adipose degeneration [ 27 ]. Furthermore, material decomposition reconstructions showed an important role in the differentiation of various abdominal focal lesions [ 28 , 29 , 30 ].…”

Section: Discussionmentioning

confidence: 99%

Dual-Energy CT Material Decomposition: The Value in the Detection of Lymph Node Metastasis from Breast Cancer

Yel,

D’Angelo,

Gruenewald

et al. 2024

Diagnostics

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Purpose: To evaluate the diagnostic performance of a dual-energy computed tomography (DECT)-based material decomposition algorithm for iodine quantification and fat fraction analysis to detect lymph node metastases in breast cancer patients. Materials and Methods: 30 female patients (mean age, 63.12 ± 14.2 years) diagnosed with breast cancer who underwent pre-operative chest DECT were included. To establish a reference standard, the study correlated histologic repots after lymphadenectomy or confirming metastasis in previous/follow-up examinations. Iodine concentration and fat fraction were determined through region-of-interest measurements on venous DECT iodine maps. Receiver operating characteristic curve analysis was conducted to identify the optimal threshold for differentiating between metastatic and non-metastatic lymph nodes. Results: A total of 168 lymph nodes were evaluated, divided into axillary (metastatic: 46, normal: 101) and intramammary (metastatic: 10, normal: 11). DECT-based fat fraction values exhibited significant differences between metastatic (9.56 ± 6.20%) and non-metastatic lymph nodes (41.52 ± 19.97%) (p < 0.0001). Absolute iodine concentrations showed no significant differences (2.25 ± 0.97 mg/mL vs. 2.08 ± 0.97 mg/mL) (p = 0.7999). The optimal fat fraction threshold for diagnosing metastatic lymph nodes was determined to be 17.75%, offering a sensitivity of 98% and a specificity of 94%. Conclusions: DECT fat fraction analysis emerges as a promising method for identifying metastatic lymph nodes, overcoming the morpho-volumetric limitations of conventional CT regarding lymph node assessment. This innovative approach holds potential for improving pre-operative lymph node evaluation in breast cancer patients, offering enhanced diagnostic accuracy.

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“…On the workstation, the fat–water material basis images, fat-iodine material basis images, and virtual monochromatic (VMC) images with energies ranging from 40 to 100 keV were obtained (these spectral reconstructions were automatically done in 3–5 min per scan). Multi-material decomposition (MMD) algorithm [ 28 , 29 ] was also applied in this study. Fat volume fraction (FVF) maps were generated using GSI Liver Fat software (AW 4.7 workstation; GE Healthcare, USA).…”

Section: Methodsmentioning

confidence: 99%

CT energy spectral parameters of creeping fat in Crohn’s disease and correlation with inflammatory activity

Li,

Wu,

Yuan

et al. 2024

Insights Imaging

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Objectives Creeping fat is a kind of unique abnormal mesenteric tissue at the sites of diseased bowel of Crohn’s disease. By using dual-energy CT enterography, this study aimed to evaluate the feasibility of spectral parameters in the quantitative analysis of mesenteric adipose tissue or creeping fat. Methods In this study, patients with known or suspected Crohn’s disease who underwent dual-energy CT enterography from March 1, 2019, to March 31, 2021, were enrolled. Among them, 40 patients with surgery and pathology-proven creeping fat were selected as the creeping fat Crohn’s disease group, and 40 normal patients were selected as the control group. The quantitative spectral parameters including the slope of the Hounsfield unit curve, normalised fat–water concentration, normalised fat-iodine concentration, and normalised fat volume fraction at the enteric phases were obtained. Mann–Whitney U test, Kruskal–Wallis H test, and receiver operating characteristic curve analysis were applied to compare quantitative parameters among various groups. Results A significant difference was observed in the slope of the Hounsfield unit curve, normalised fat–water concentration, normalised fat-iodine concentration, and normalised fat volume fraction between mesenteric adipose tissue and creeping fat with Crohn’s disease at the enteric phase (all p < 0.001). The slope of the Hounsfield unit curve of creeping fat at the enteric phase had a better capability to distinguish inactive and active Crohn’s disease (AUC = 0.93, p < 0.001). Conclusion Dual-energy CT enterography with quantitative spectral parameters is a potentially novel noninvasive tool for evaluating creeping fat in Crohn’s disease. Critical relevance statement Energy spectral parameters of creeping fat in Crohn’s disease are significantly different from normal mesenteric adipose tissues and are correlated with inflammatory activity. Key points • Dual-energy CT enterography allows quantitatively assessing creeping fat with spectral parameters. • The creeping fat has distinct spectral parameters to normal mesenteric adipose. • The spectral parameters accurately differentiate active and inactive Crohn’s disease. Graphical Abstract

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Quantification of pancreas fat on dual-energy computed tomography: comparison with six-point Dixon magnetic resonance imaging

Cited by 11 publications

References 26 publications

Quantification of Hepatic Steatosis on Dual-Energy CT in Comparison With MRI mDIXON-Quant Sequence in Breast Cancer

Quantification of Hepatic Steatosis on Dual-Energy CT in Comparison With MRI mDIXON-Quant Sequence in Breast Cancer

Dual-Energy CT Material Decomposition: The Value in the Detection of Lymph Node Metastasis from Breast Cancer

CT energy spectral parameters of creeping fat in Crohn’s disease and correlation with inflammatory activity

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