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Chen Y, Jiang J, Yan C, Jiang J, Shi B, Xu Z, Yuan F, Zhang H, Zhang J. Prediction of tumor regression grade in far-advanced gastric cancer after preoperative immuno-chemotherapy using dual-energy CT-derived extracellular volume fraction. Eur Radiol 2024:10.1007/s00330-024-10737-0. [PMID: 38981889 DOI: 10.1007/s00330-024-10737-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 02/29/2024] [Accepted: 03/17/2024] [Indexed: 07/11/2024]
Abstract
OBJECTIVES This study examines the effectiveness of dual-energy CT (DECT) delayed-phase extracellular volume (ECV) fraction in predicting tumor regression grade (TRG) in far-advanced gastric cancer (FAGC) patients receiving preoperative immuno-chemotherapy. MATERIALS AND METHODS A retrospective analysis was performed on far-advanced gastric adenocarcinoma patients treated with preoperative immuno-chemotherapy at our institution from August 2019 to March 2023. Patients were categorized based on their TRG into pathological complete response (pCR) and non-pCR groups. ECV was determined using the delayed-phase iodine maps. In addition, tumor iodine densities and standardized iodine ratios were meticulously analyzed using the triple-phase enhanced iodine maps. Univariate analysis with five-fold cross-validation and Spearman correlation determined DECT parameters and clinical indicators association with pCR. The predictive accuracy of these parameters for pCR was evaluated using a weighted logistic regression model with five-fold cross-validation. RESULTS Of the 88 patients enrolled (mean age 60.8 ± 11.1 years, 63 males), 21 (23.9%) achieved pCR. Univariate analysis indicated ECV's significant role in differentiating between pCR and non-pCR groups (average p value = 0.021). In the logistic regression model, ECV independently predicted pCR with an average odds ratio of 0.911 (95% confidence interval, 0.798-0.994). The model, incorporating ECV, tumor area, and IDAV (the relative change rate of iodine density from venous phase to arterial phase), showed an average area under curves (AUCs) of 0.780 (0.770-0.791) and 0.766 (0.731-0.800) for the training and validation sets, respectively, in predicting pCR. CONCLUSION DECT-derived ECV fraction is a valuable predictor of TRG in FAGC patients undergoing preoperative immuno-chemotherapy. CLINICAL RELEVANCE STATEMENT This study demonstrates that DECT-derived extracellular volume fraction is a reliable predictor for pathological complete response in far-advanced gastric cancer patients receiving preoperative immuno-chemotherapy, offering a noninvasive tool for identifying potential treatment beneficiaries.
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Affiliation(s)
- Yong Chen
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinling Jiang
- Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chao Yan
- Department of General Surgery, Shanghai Key Laboratory of Gastric Neoplasms, Shanghai Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiang Jiang
- Department of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Bowen Shi
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhihan Xu
- Siemens Healthineers Ltd, Shanghai, China
| | - Fei Yuan
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Huan Zhang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Jun Zhang
- Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Kutaiba N, Chung W, Goodwin M, Testro A, Egan G, Lim R. The impact of hepatic and splenic volumetric assessment in imaging for chronic liver disease: a narrative review. Insights Imaging 2024; 15:146. [PMID: 38886297 PMCID: PMC11183036 DOI: 10.1186/s13244-024-01727-3] [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: 08/17/2023] [Accepted: 05/26/2024] [Indexed: 06/20/2024] Open
Abstract
Chronic liver disease is responsible for significant morbidity and mortality worldwide. Abdominal computed tomography (CT) and magnetic resonance imaging (MRI) can fully visualise the liver and adjacent structures in the upper abdomen providing a reproducible assessment of the liver and biliary system and can detect features of portal hypertension. Subjective interpretation of CT and MRI in the assessment of liver parenchyma for early and advanced stages of fibrosis (pre-cirrhosis), as well as severity of portal hypertension, is limited. Quantitative and reproducible measurements of hepatic and splenic volumes have been shown to correlate with fibrosis staging, clinical outcomes, and mortality. In this review, we will explore the role of volumetric measurements in relation to diagnosis, assessment of severity and prediction of outcomes in chronic liver disease patients. We conclude that volumetric analysis of the liver and spleen can provide important information in such patients, has the potential to stratify patients' stage of hepatic fibrosis and disease severity, and can provide critical prognostic information. CRITICAL RELEVANCE STATEMENT: This review highlights the role of volumetric measurements of the liver and spleen using CT and MRI in relation to diagnosis, assessment of severity, and prediction of outcomes in chronic liver disease patients. KEY POINTS: Volumetry of the liver and spleen using CT and MRI correlates with hepatic fibrosis stages and cirrhosis. Volumetric measurements correlate with chronic liver disease outcomes. Fully automated methods for volumetry are required for implementation into routine clinical practice.
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Affiliation(s)
- Numan Kutaiba
- Department of Radiology, Austin Health, 145 Studley Road, Heidelberg, VIC, 3084, Australia.
- The University of Melbourne, Parkville, Melbourne, VIC, Australia.
| | - William Chung
- The University of Melbourne, Parkville, Melbourne, VIC, Australia
- Department of Gastroenterology, Austin Health, 145 Studley Road, Heidelberg, VIC, 3084, Australia
| | - Mark Goodwin
- Department of Radiology, Austin Health, 145 Studley Road, Heidelberg, VIC, 3084, Australia
- The University of Melbourne, Parkville, Melbourne, VIC, Australia
| | - Adam Testro
- The University of Melbourne, Parkville, Melbourne, VIC, Australia
- Department of Gastroenterology, Austin Health, 145 Studley Road, Heidelberg, VIC, 3084, Australia
| | - Gary Egan
- Monash Biomedical Imaging, Monash University, Clayton, VIC, 3800, Australia
| | - Ruth Lim
- Department of Radiology, Austin Health, 145 Studley Road, Heidelberg, VIC, 3084, Australia
- The University of Melbourne, Parkville, Melbourne, VIC, Australia
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Kutaiba N, Tran A, Ashraf S, Con D, Lokan J, Goodwin M, Testro A, Egan G, Lim R. Computed Tomography-Derived Extracellular Volume Fraction and Splenic Size for Liver Fibrosis Staging. J Comput Assist Tomogr 2024:00004728-990000000-00328. [PMID: 38858799 DOI: 10.1097/rct.0000000000001631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2024]
Abstract
OBJECTIVE Extracellular volume fraction (fECV) and liver and spleen size have been correlated with liver fibrosis stages and cirrhosis. The purpose of the current study was to determine the predictive value of fECV alone and in conjunction with measurement of liver and spleen size for severity of liver fibrosis. METHODS This was a retrospective study of 95 subjects (65 with liver biopsy and 30 controls). Spearman rank correlation coefficient was used to assess correlation between radiological markers and fibrosis stage. Receiver operating characteristic analysis was performed to assess the discriminative ability of radiological markers for significant (F2+) and advanced (F3+) fibrosis and cirrhosis (F4), by reporting the area under the curve (AUC). RESULTS The cohort had a mean age of 51.4 ± 14.4 years, and 52 were female (55%). There were 36, 5, 6, 9, and 39 in fibrosis stages F0, F1, F2, F3, and F4, respectively. Spleen volume alone showed the highest correlation (r = 0.552, P < 0.001) and AUCs of 0.823, 0.807, and 0.785 for identification of significant and advanced fibrosis and cirrhosis, respectively. Adding fECV to spleen length improved AUCs (0.764, 0.745, and 0.717 to 0.812, 0.781, and 0.738, respectively) compared with splenic length alone. However, adding fECV to spleen volume did not improve the AUCs for significant or advanced fibrosis or cirrhosis. CONCLUSIONS Spleen size (measured in length or volume) showed better correlation with liver fibrosis stages compared with fECV. The combination of fECV and spleen length had higher accuracy compared with fECV alone or spleen length alone.
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Affiliation(s)
| | - Anthony Tran
- From the Department of Radiology, Austin Health, Heidelberg, Victoria
| | - Saad Ashraf
- From the Department of Radiology, Austin Health, Heidelberg, Victoria
| | | | - Julie Lokan
- Anatomical Pathology, Austin Health, Heidelberg
| | | | | | - Gary Egan
- Monash Biomedical Imaging, Monash University, Clayton, Victoria, Australia
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Zheng T, Qu Y, Chen J, Yang J, Yan H, Jiang H, Song B. Noninvasive diagnosis of liver cirrhosis: qualitative and quantitative imaging biomarkers. Abdom Radiol (NY) 2024; 49:2098-2115. [PMID: 38372765 DOI: 10.1007/s00261-024-04225-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 01/26/2024] [Accepted: 01/29/2024] [Indexed: 02/20/2024]
Abstract
A diagnosis of cirrhosis initiates a shift in the management of chronic liver disease and affects the diagnostic workflow and treatment decision of primary liver cancer. Liver biopsy remains the gold standard for cirrhosis diagnosis, but it is invasive and susceptible to sampling bias and observer variability. Various qualitative and quantitative imaging biomarkers based on ultrasound, CT and MRI have been proposed for noninvasive diagnosis of cirrhosis. Qualitative imaging features are easy to apply but have moderate diagnostic sensitivity. Elastography techniques allow quantitative assessment of liver stiffness and are highly accurate for cirrhosis diagnosis. Ultrasound elastography are widely used in clinical practice, while MR elastography has narrower availability. Although not applicable in clinical practice yet, other quantitative imaging features, including liver surface nodularity, linear and volumetric measurement, extracellular volume fraction, liver enhancement on hepatobiliary phase, and parameters derived from diffusion-weighted imaging, can provide additional information of liver morphology, perfusion, and function, thus may increase diagnosis performance. The introduction of radiomics and deep learning has further improved diagnostic accuracy while reducing subjectivity. Several imaging features may also help to assess liver function and outcomes in patients with cirrhosis. In this review, we summarize the qualitative and quantitative imaging biomarkers for noninvasive cirrhosis diagnosis, and the assessment of liver function and outcomes, and discuss the challenges and future directions in this field.
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Affiliation(s)
- Tianying Zheng
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, Sichuan, 610041, China
- Functional and Molecular Imaging Key Laboratory of Sichuan, Chengdu, Sichuan, China
| | - Yali Qu
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, Sichuan, 610041, China
- Functional and Molecular Imaging Key Laboratory of Sichuan, Chengdu, Sichuan, China
| | - Jie Chen
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, Sichuan, 610041, China
- Functional and Molecular Imaging Key Laboratory of Sichuan, Chengdu, Sichuan, China
| | - Jie Yang
- Department of Medical Ultrasound, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hualin Yan
- Department of Medical Ultrasound, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hanyu Jiang
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, Sichuan, 610041, China
- Functional and Molecular Imaging Key Laboratory of Sichuan, Chengdu, Sichuan, China
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, Sichuan, 610041, China.
- Functional and Molecular Imaging Key Laboratory of Sichuan, Chengdu, Sichuan, China.
- Department of Radiology, Sanya People's Hospital, Sanya, Hainan, China.
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Nakazawa Y, Okada M, Hyodo T, Tago K, Shibutani K, Mizuno M, Yoshikawa H, Abe H, Higaki T, Okamura Y, Takayama T. Comparison between CT volumetry, technetium 99m galactosyl-serum-albumin scintigraphy, and gadoxetic-acid-enhanced MRI to estimate the liver fibrosis stage in preoperative patients. Eur Radiol 2024; 34:2212-2222. [PMID: 37673964 DOI: 10.1007/s00330-023-10219-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 06/24/2023] [Accepted: 07/16/2023] [Indexed: 09/08/2023]
Abstract
OBJECTIVES To compare the efficacy of computed tomography volumetry (CTV), technetium99m galactosyl-serum-albumin (99mTc-GSA) scintigraphy, and gadolinium-ethoxybenzyl-diethylenetriamine-pentaacetic-acid-enhanced MRI (EOB-MRI) in estimating the liver fibrosis (LF) stage in patients undergoing liver resection. METHODS This retrospective study included 91 consecutive patients who had undergone preoperative dynamic CT and 99mTc-GSA scintigraphy. EOB-MRI was performed in 76 patients. CTV was used to measure the total liver volume (TLV), spleen volume (SV), normalised to the body surface area (BSA), and liver-to-spleen volume ratio (TLV/SV). 99mTc-GSA scintigraphy provided LHL15, HH15, and GSA indices. The liver-to-spleen ratio (LSR) was calculated in the hepatobiliary phase of EOB-MRI. Hyaluronic acid and type 4 collagen levels were measured in 65 patients. Logistic regression and receiver operating characteristic (ROC) analyses were performed to identify useful parameters for estimating the LF stage and laboratory data. RESULTS According to the multivariable logistic regression analysis, SV/BSA (odds ratio [OR], 1.01; 95% confidence interval [CI], 1.003-1.02; p = 0.011), LSR (OR, 0.06; 95%CI, 0.004-0.70; p = 0.026), and hyaluronic acid (OR, 1.01; 95%CI, 1.001-1.02; p = 0.024) were independent variables for severe LF (F3-4). Combined SV/BSA, LSR, and hyaluronic acid correctly estimated severe LF, with an AUC of 0.91, which was significantly larger than the AUCs of the GSA index (AUC = 0.84), SV/BSA (AUC = 0.83), or LSR (AUC = 0.75) alone. CONCLUSIONS Combined CTV, EOB-MRI, and hyaluronic acid analyses improved the estimation accuracy of severe LF compared to CTV, EOB-MRI, or 99mTc-GSA scintigraphy individually. CLINICAL RELEVANCE STATEMENT The combined analysis of spleen volume on CT volumetry, liver-to-spleen ratio on gadolinium-ethoxybenzyl-diethylenetriamine-pentaacetic-acid-enhanced MRI, and hyaluronic acid can identify severe liver fibrosis associated with a high risk of liver failure after hepatectomy and recurrence in patients with hepatocellular carcinoma. KEY POINTS • Spleen volume of CT volumetry normalised to the body surface area, liver-to-spleen ratio of EOB-MRI, and hyaluronic acid were independent variables for liver fibrosis. • CT volumetry and EOB-MRI enable the detection of severe liver fibrosis, which may correlate with post-hepatectomy liver failure and complications. • Combined CT volumetry, gadolinium-ethoxybenzyl-diethylenetriamine-pentaacetic-acid-enhanced MRI (EOB-MRI), and hyaluronic acid analyses improved the estimation of severe liver fibrosis compared to technetium99m galactosyl-serum-albumin scintigraphy.
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Affiliation(s)
- Yujiro Nakazawa
- Department of Radiology, Nihon University School of Medicine, Tokyo, Japan
| | - Masahiro Okada
- Department of Radiology, Nihon University School of Medicine, Tokyo, Japan.
| | - Tomoko Hyodo
- Department of Radiology, Nihon University School of Medicine, Tokyo, Japan
| | - Kenichiro Tago
- Department of Radiology, Nihon University School of Medicine, Tokyo, Japan
| | - Kazu Shibutani
- Department of Radiology, Nihon University School of Medicine, Tokyo, Japan
| | - Mariko Mizuno
- Department of Radiology, Nihon University School of Medicine, Tokyo, Japan
| | - Hiroki Yoshikawa
- Department of Radiology, Nihon University School of Medicine, Tokyo, Japan
| | - Hayato Abe
- Department of Digestive Surgery, Nihon University School of Medicine, Tokyo, Japan
| | - Tokio Higaki
- Department of Digestive Surgery, Nihon University School of Medicine, Tokyo, Japan
| | - Yukiyasu Okamura
- Department of Digestive Surgery, Nihon University School of Medicine, Tokyo, Japan
| | - Tadatoshi Takayama
- Department of Digestive Surgery, Nihon University School of Medicine, Tokyo, Japan
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Peng Y, Tang G, Sun M, Yu S, Cheng Y, Wang Y, Deng W, Li Y, Guan J. Feasibility of spectral CT-derived extracellular volume fraction for differentiating aldosterone-producing from nonfunctioning adrenal nodules. Eur Radiol 2024; 34:50-59. [PMID: 37566275 DOI: 10.1007/s00330-023-10077-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 07/04/2023] [Accepted: 07/15/2023] [Indexed: 08/12/2023]
Abstract
OBJECTIVE To assess the feasibility of spectral CT-derived extracellular volume (ECV) for differentiating aldosterone-producing nodules (APN) from nonfunctioning adrenal nodules (NFN). METHODS Sixty-nine patients with biochemically and histologically confirmed unilateral APN (34) and NFN (35) as well as 23 patients with bilateral APN (19) and NFN (27) confirmed biochemically and by adrenal vein sampling (AVS) were enrolled in this retrospective study from October 2020 to April 2022. All patients underwent contrast-enhanced spectral CT of the adrenal glands with a 10-min delayed phase. The haematocrit level was measured within 2 days of CT. An iodine density map was derived from the delayed CT. The ECV fractions of the APN and NFN were calculated and compared in the test cohort of 69 patients with unilateral adrenal nodules. The optimal cut-off value was determined to evaluate the diagnostic efficacy of the ECV fraction for differentiating APN from NFN in the validation cohort of 23 patients with bilateral adrenal nodules. RESULTS The ECV fractions of the APN (11.17 ± 4.57%) were significantly lower (p < 0.001) than that of the NFN (24.79 ± 6.01%) in the test cohort. At cut-off ECV value of 17.16%, the optimal area under the receiver operating characteristic curve was 0.974 (95% confidence interval: 0.942-1) with 91.4% sensitivity, 93.9% specificity, and 92.8% accuracy in the test cohort and 89.5% sensitivity, 96.3% specificity, and 93.5% accuracy in the validation cohort for differentiating APN from NFN. CONCLUSION The spectral CT-derived ECV fraction can differentiate APN from NFN with high diagnostic performance. CLINICAL RELEVANCE STATEMENT Spectral CT-derived extracellular volume fraction could accurately differentiate between adrenal aldosterone-producing nodules and nonfunctioning nodules. It might serve as a noninvasive alternative to adrenal vein sampling in primary aldosteronism patients with bilateral adrenal nodules. KEY POINTS • Conventional CT cannot differentiate aldosterone-producing adrenal nodules from nonfunctioning nodules. • Extracellular volume of adrenal aldosterone-producing nodules was significantly lower than that of nonfunctioning nodules and normal adrenal glands. It can accurately differentiate between aldosterone-producing and nonfunctioning adrenal nodules. • Extracellular volume may be a novel, noninvasive biomarker alternative to adrenal vein sampling for determining the functional status of bilateral adrenal nodules in patients with primary aldosteronism.
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Affiliation(s)
- Yang Peng
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshanerlu Road, Guangzhou, Guangdong, People's Republic of China
| | - Guanglei Tang
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshanerlu Road, Guangzhou, Guangdong, People's Republic of China
| | - Mengya Sun
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshanerlu Road, Guangzhou, Guangdong, People's Republic of China
| | - Shuang Yu
- Department of Endocrinology, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshanerlu Road, Guangzhou, Guangdong, People's Republic of China
| | - Yanglei Cheng
- Department of Endocrinology, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshanerlu Road, Guangzhou, Guangdong, People's Republic of China
| | - Yu Wang
- Department of Interventional Oncology, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshanerlu Road, Guangzhou, Guangdong, People's Republic of China
| | - Weiwei Deng
- Clinical & Technical Support, Philips Healthcare, China, 200072, Shanghai, People's Republic of China
| | - Yanbing Li
- Department of Endocrinology, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshanerlu Road, Guangzhou, Guangdong, People's Republic of China.
| | - Jian Guan
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshanerlu Road, Guangzhou, Guangdong, People's Republic of China.
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Sun S, Huang B, Li Q, Wang C, Zhang W, Xu L, Xu Q, Zhang Y. Prediction of pancreatic fibrosis by dual-energy CT-derived extracellular volume fraction: Comparison with MRI. Eur J Radiol 2024; 170:111204. [PMID: 37988962 DOI: 10.1016/j.ejrad.2023.111204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 11/03/2023] [Accepted: 11/14/2023] [Indexed: 11/23/2023]
Abstract
OBJECTIVES To investigate the correlation between dual-energy CT (DECT) and MRI measurements of the extracellular volume fraction (ECV) and to assess the accuracy of both methods in predicting pancreatic fibrosis (PF). METHODS We retrospectively analyzed 43 patients who underwent pancreatectomy and preoperative pancreatic DECT and MRI between November 2018 and May 2022. The ECV was calculated using the T1 relaxation time (for MR-ECV) or absolute enhancement (for DECT-ECV) at equilibrium phase (180 s after contrast injection in our study). Pearson coefficient and Bland-Altman analysis were used to compare the correlation between the two ECVs, Spearman correlations were used to investigate the association between imaging parameters and PF, Receiver operating characteristic (ROC) curves were used to assess the diagnostic performance of the ECVs for advanced fibrosis (F2-F3), and multivariate logistic regression analysis was used to examine the relationship between PF and imaging parameters. RESULTS There was a strong correlation between DECT- and MR-derived ECVs (r = 0.948; p < 0.001). The two ECVs were positively correlated with PF (DECT: r = 0.647, p < 0.001; MR: r = 0.614, p < 0.001), and the mean values were 0.34 ± 0.08 (range: 0.22-0.62) and 0.35 ± 0.09 (range: 0.24-0.66), respectively. The area under the operating characteristic curve (AUC) for subjects with advanced fibrosis diagnosed by ECV was 0.86 for DECT-ECV and 0.87 for MR-ECV. Multivariate logistic regression analysis showed that the DECT-ECV was an independent predictor of PF. CONCLUSIONS The ECV could be an effective predictor of histological fibrosis, and DECT is equivalent to MRI for characterizing pancreatic ECV changes.
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Affiliation(s)
- Shanshan Sun
- Department of Radiology, First Affiliated Hospital of Nanjing Medical University, NO. 300, Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Ben Huang
- Department of Medical Laboratory, First Affiliated Hospital of Nanjing Medical University, NO. 300, Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Qiong Li
- Department of Radiology, First Affiliated Hospital of Nanjing Medical University, NO. 300, Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Chuanbing Wang
- Department of Radiology, First Affiliated Hospital of Nanjing Medical University, NO. 300, Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Weiming Zhang
- Department of Pathology, First Affiliated Hospital of Nanjing Medical University, NO. 300, Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Lulu Xu
- Department of Radiology, First Affiliated Hospital of Nanjing Medical University, NO. 300, Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Qing Xu
- Department of Radiology, First Affiliated Hospital of Nanjing Medical University, NO. 300, Guangzhou Road, Nanjing, Jiangsu 210029, China.
| | - Yele Zhang
- Department of Radiology, First Affiliated Hospital of Nanjing Medical University, NO. 300, Guangzhou Road, Nanjing, Jiangsu 210029, China.
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Mizuno M, Tago K, Okada M, Nakazawa Y, Arakane T, Yoshikawa H, Abe H, Matsumoto N, Higaki T, Okamura Y, Takayama T. Extracellular volume by dual-energy CT, hepatic reserve capacity scoring, CT volumetry, and transient elastography for estimating liver fibrosis. Sci Rep 2023; 13:22038. [PMID: 38086990 PMCID: PMC10716370 DOI: 10.1038/s41598-023-49362-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 12/07/2023] [Indexed: 12/18/2023] Open
Abstract
Our purpose was to compare the efficacy of liver and splenic volumetry (LV and SV), extracellular volume (ECV) on dual-layer spectral-detector CT scoring systems for estimating liver fibrosis (LF) in 45 patients with pathologically staged LF. ECV measured on CT value (HU-ECV), iodine density (ID-ECV), atomic number (Zeff-ECV), and electron density (ED-ECV), LV or SV/body surface area (BSA), albumin bilirubin grade (ALBI), model for end-stage liver disease (MELD) score, aspartate aminotransferase platelet ratio index (APRI), and fibrosis index based on the four factors (FIB-4) were recorded. Transient elastography was measured in 22 patients, and compared to ECV. No correlation was found between transient elastography and all ECVs. Area under the curve (AUC) for estimating F4 on transient elastography was 0.885 (95% CI 0.745-1.000). ALBI was weakly associated with LF (p = 0.451), while MELD (p < 0.001), APRI (p = 0.010), and FIB-4 (p = 0.010) were significantly associated with LF. SV/BSA had a higher AUC than MELD, APRI, and FIB-4 for estimating F4 (AUC = 0.815, 95% CI 0.63-0.999), but MELD (AUC = 0.799, 95% CI 0.634-0.965), APRI (AUC = 0.722, 95% CI 0.561-0.883), and FIB-4 (AUC = 0.741, 95% CI 0.582-0.899) had higher AUCs than ALBI. SV/BSA significantly contributed to differentiation for estimating F4; odds ratio (OR) was 1.304-1.353 (Reader 1-2; R1-R2), whereas MELD significantly contributed to the differentiation between F0-2 and F3-4; OR was 1.528-1.509 (R1-R2). AUC for SV/BSA and MELD combined was 0.877 (95% CI 0.748-1.000). In conclusion, SV/BSA allows for a higher estimation of liver cirrhosis (F4). MELD is more suitable for assessing severe LF (≥ F3-4). The combination of SV/BSA and MELD had a higher AUC than SV/BSA alone for liver cirrhosis (F4).
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Affiliation(s)
- Mariko Mizuno
- Departments of Radiology, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan
| | - Kenichiro Tago
- Departments of Radiology, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan
| | - Masahiro Okada
- Departments of Radiology, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan.
| | - Yujiro Nakazawa
- Departments of Radiology, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan
| | - Takayuki Arakane
- Departments of Radiology, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan
| | - Hiroki Yoshikawa
- Departments of Radiology, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan
| | - Hayato Abe
- Departments of Digestive Surgery, Nihon University School of Medicine, Tokyo, Japan
| | - Naoki Matsumoto
- Departments of Gastroenterology and Hepatology, Nihon University School of Medicine, Tokyo, Japan
| | - Tokio Higaki
- Departments of Digestive Surgery, Nihon University School of Medicine, Tokyo, Japan
| | - Yukiyasu Okamura
- Departments of Digestive Surgery, Nihon University School of Medicine, Tokyo, Japan
| | - Tadatoshi Takayama
- Departments of Digestive Surgery, Nihon University School of Medicine, Tokyo, Japan
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Arakane T, Okada M, Nakazawa Y, Tago K, Yoshikawa H, Mizuno M, Abe H, Higaki T, Okamura Y, Takayama T. Comparison between Intravoxel Incoherent Motion and Splenic Volumetry to Predict Hepatic Fibrosis Staging in Preoperative Patients. Diagnostics (Basel) 2023; 13:3200. [PMID: 37892021 PMCID: PMC10605488 DOI: 10.3390/diagnostics13203200] [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: 08/31/2023] [Revised: 10/08/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023] Open
Abstract
Intravoxel incoherent motion (IVIM) and splenic volumetry (SV) for hepatic fibrosis (HF) prediction have been reported to be effective. Our purpose is to compare the HF prediction of IVIM and SV in 67 patients with pathologically staged HF. SV was divided by body surface area (BSA). IVIM indices, such as slow diffusion-coefficient related to molecular diffusion (D), fast diffusion-coefficient related to perfusion in microvessels (D*), apparent diffusion-coefficient (ADC), and perfusion related diffusion-fraction (f), were calculated by two observers (R1/R2). D (p = 0.718 for R1, p = 0.087 for R2) and D* (p = 0.513, p = 0.708, respectively) showed a poor correlation with HF. ADC (p = 0.034, p = 0.528, respectively) and f (p < 0.001, p = 0.007, respectively) decreased as HF progressed, whereas SV/BSA increased (p = 0.015 for R1). The AUCs of SV/BSA (0.649-0.698 for R1) were higher than those of f (0.575-0.683 for R1 + R2) for severe HF (≥F3-4 and ≥F4), although AUCs of f (0.705-0.790 for R1 + R2) were higher than those of SV/BSA (0.628 for R1) for mild or no HF (≤F0-1). No significant differences to identify HF were observed between IVIM and SV/BSA. SV/BSA allows a higher estimation for evaluating severe HF than IVIM. IVIM is more suitable than SV/BSA for the assessment of mild or no HF.
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Affiliation(s)
- Takayuki Arakane
- Department of Radiology, Nihon University School of Medicine, Tokyo 173-8610, Japan; (T.A.)
| | - Masahiro Okada
- Department of Radiology, Nihon University School of Medicine, Tokyo 173-8610, Japan; (T.A.)
| | - Yujiro Nakazawa
- Department of Radiology, Nihon University School of Medicine, Tokyo 173-8610, Japan; (T.A.)
| | - Kenichiro Tago
- Department of Radiology, Nihon University School of Medicine, Tokyo 173-8610, Japan; (T.A.)
| | - Hiroki Yoshikawa
- Department of Radiology, Nihon University School of Medicine, Tokyo 173-8610, Japan; (T.A.)
| | - Mariko Mizuno
- Department of Radiology, Nihon University School of Medicine, Tokyo 173-8610, Japan; (T.A.)
| | - Hayato Abe
- Department of Digestive Surgery, Nihon University School of Medicine, Tokyo 173-8610, Japan
| | - Tokio Higaki
- Department of Digestive Surgery, Nihon University School of Medicine, Tokyo 173-8610, Japan
| | - Yukiyasu Okamura
- Department of Digestive Surgery, Nihon University School of Medicine, Tokyo 173-8610, Japan
| | - Tadatoshi Takayama
- Department of Digestive Surgery, Nihon University School of Medicine, Tokyo 173-8610, Japan
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