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Chen J, Zhang F, Wu S, Liu D, Yang L, Li M, Yin M, Ma K, Wen G, Huang W. Predictive value of high-risk esophageal varices in cirrhosis based on dual-energy CT combined with clinical and serologic features. BMC Med Imaging 2025; 25:137. [PMID: 40281459 PMCID: PMC12032664 DOI: 10.1186/s12880-025-01681-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2024] [Accepted: 04/18/2025] [Indexed: 04/29/2025] Open
Abstract
OBJECTIVE To investigate the predictive value of dual-energy CT (DECT) in combination with clinical and serologic features for noninvasive assessment of high-risk esophageal variceal (EV) in cirrhosis patients. DATA AND METHODS 120 patients who had undergone DECT and gastroscopy were retrospectively enrolled. They were categorized into low-risk variceal (LRV) and high-risk variceal (HRV) groups by gastroscopy (LRV: none, mild, HRV: moderate, severe). Clinical data, serologic and DECT parameters were recorded respectively. Multifactorial logistic regression analyses were conducted to develop clinical, serological, DECT, and combined models. AUC was utilized to assess the diagnostic performance. Non-parametric tests were employed to analyze differences in DECT parameters among different grading of EV. RESULTS In clinical model, ascites was the independent risk predictor, with 78.3% accuracy,50% sensitivity, 100% specificity, and an AUC of 0.693. The serological model revealed white blood cell count, hematocrit, alanine aminotransferase, and platelet count as predictors for HRV, demonstrating 83.3% accuracy, 90.9% sensitivity, 76.9% specificity, and an AUC of 0.784. The DECT model, identified liver normalized iodine volume (NIV-L) and spleen volume (V-S) as key predictors, with 84% accuracy, 72.7% sensitivity, 92.9% specificity, and an AUC of 0.84. The combined model, integrating NIV-L, V-S, and Ascites, demonstrated superior performance with 82.6% accuracy, 90% sensitivity, 76.9% specificity, and an AUC of 0.878, compared to the other models. Additionally, severe EV had higher V-S and NIV-S values than other grades (p < 0.05), with AUC of 0.874 and 0.864, respectively. CONCLUSION DECT-based NIV-L, V-S, and presence of ascites can predict high-risk esophageal varices. CLINICAL RELEVANCE STATEMENT Quantitative parameters of DECT can predict high-risk esophageal varices in cirrhotic patients, avoid gastroscopy, if possible, continue hierarchical management. TRIAL REGISTRATION retrospectively registered.
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Affiliation(s)
- Jiewen Chen
- Department of Radiology, Nanfang Hospital Zengcheng Campus, Southern Medical University, Guangzhou, 511338, China
| | - Fei Zhang
- Department of Radiology, Nanfang Hospital Zengcheng Campus, Southern Medical University, Guangzhou, 511338, China
| | - Shuitian Wu
- Department of Radiology, Nanfang Hospital Zengcheng Campus, Southern Medical University, Guangzhou, 511338, China
| | - Disi Liu
- Department of Radiology, Nanfang Hospital Zengcheng Campus, Southern Medical University, Guangzhou, 511338, China
| | - Liyang Yang
- Department of Radiology, Nanfang Hospital Zengcheng Campus, Southern Medical University, Guangzhou, 511338, China
| | - Meng Li
- Department of Radiology, Nanfang Hospital Zengcheng Campus, Southern Medical University, Guangzhou, 511338, China
| | - Ming Yin
- Department of Radiology, Nanfang Hospital Zengcheng Campus, Southern Medical University, Guangzhou, 511338, China
| | - Kun Ma
- CT Imaging Research Center, GE HealthCare China, Tianhe District, Huacheng Road 87, Guangzhou, 510623, China
| | - Ge Wen
- Department of Radiology, Nanfang Hospital Zengcheng Campus, Southern Medical University, Guangzhou, 511338, China.
| | - Weikang Huang
- Department of Radiology, Nanfang Hospital Zengcheng Campus, Southern Medical University, Guangzhou, 511338, China.
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Takayama Y, Koga T, Hamada Y, Tanaka S, Sato K, Murayama R, Ishida Y, Kajiwara M, Yoshimitsu K. Prediction of the wall-invasion pattern of advanced gallbladder carcinoma using extracellular volume fraction. Jpn J Radiol 2025:10.1007/s11604-025-01768-8. [PMID: 40106212 DOI: 10.1007/s11604-025-01768-8] [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: 11/19/2024] [Accepted: 03/03/2025] [Indexed: 03/22/2025]
Abstract
PURPOSE This study aimed to evaluate the utility of extracellular volume (ECV) fraction for predicting wall-invasion patterns in advanced gallbladder carcinoma (GBCA). MATERIALS AND METHODS Patients who had surgically resected GBCA at a single institution were retrospectively evaluated. All patients underwent computed tomography (CT) before the surgery. Based on pathological examinations, the wall-invasion pattern of GBCA was classified into two groups: infiltrative growth (IG, n = 19) and destructive growth (DG, n = 11). ECV map was generated by inputting the patients' hematocrit values and subtraction algorithms using pre-contrast and equilibrium phase images. CT parameters were evaluated by two radiologists (Rad1 and Rad2). The Mann-Whitney U test was performed to identify significant CT parameters for differentiating between the two groups. The diagnostic ability was measured using receiver operating characteristic (ROC) curve analysis. Recurrence-free survival (RFS) was estimated using the Kaplan-Meier method, and differences between the two groups were compared using the log-rank test. RESULTS Thirty patients (mean age, 75.5 years; 20 men) were evaluated. Mean ECV fraction of the DG-type (Rad1, 34.5%; Rad2, 34.1%) was significantly higher than that of the IG-type (Rad1, 28.5%; Rad2, 28.8%) (p < 0.05). The ECV values of the two radiologists indicated that the areas under the ROC curves for differentiation between the two groups were Rad1, 0.91 and Rad2, 0.84 (p < 0.05). Medium RFS of the DG-type (970 days) was significantly shorter than that of the IG-type (2200 days) (p < 0.05). CONCLUSION ECV fraction demonstrates potential as the most valuable predictor of the DG type of GBCA, which has a higher recurrence rate compared with the IG type. However, further large-scale multi-center studies are required to validate these findings.
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Affiliation(s)
- Yukihisa Takayama
- Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonan-ku, Fukuoka City, Fukuoka, 814-0180, Japan.
| | - Takehiko Koga
- Departments of Gastroenterology and Medicine, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonan-ku, Fukuoka City, Fukuoka, 814-0180, Japan
| | - Yoshihiro Hamada
- Department of Pathology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonan-ku, Fukuoka City, Fukuoka, 814-0180, Japan
| | - Shinji Tanaka
- Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonan-ku, Fukuoka City, Fukuoka, 814-0180, Japan
| | - Keisuke Sato
- Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonan-ku, Fukuoka City, Fukuoka, 814-0180, Japan
| | - Ryo Murayama
- Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonan-ku, Fukuoka City, Fukuoka, 814-0180, Japan
| | - Yusuke Ishida
- Departments of Gastroenterology and Medicine, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonan-ku, Fukuoka City, Fukuoka, 814-0180, Japan
| | - Masatoshi Kajiwara
- Department of Gastroenterological Surgery, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonan-ku, Fukuoka City, Fukuoka, 814-0180, Japan
| | - Kengo Yoshimitsu
- Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonan-ku, Fukuoka City, Fukuoka, 814-0180, Japan
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Xu S, Cao M, Chen L, Shi J, Wang X, Li L, Wang L, Zhang J. Evaluation of Splenic Involvement in Lymphomas Using Extracellular Volume Fraction Computed Tomography. J Comput Assist Tomogr 2025; 49:225-233. [PMID: 39438278 DOI: 10.1097/rct.0000000000001664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2024]
Abstract
OBJECTIVE To evaluate whether the extracellular volume (ECV) fraction can be used to identify splenic involvement in lymphoma patients and whether it can be used to improve the diagnostic performance of conventional computed tomography (CT) in the diagnosis of splenic diffuse involvement. METHODS Consecutive patients with newly diagnosed lymphoma who underwent abdomen contrast-enhanced CT and 18 F-fluorodeoxyglucose positron emission tomography/CT for diagnosis or staging were retrospectively enrolled. Patients were divided into the splenic involvement (diffuse or focal) and noninvolvement groups. The ECV fraction was obtained in all patients. In the splenic diffuse involvement and noninvolvement groups, spleen vertical length (SVL) >13 cm and obliteration of normal heterogeneous enhancement of the spleen in arterial phase were recorded. Receiver operating characteristic curve was used to analyze the diagnostic performance, and area under the curve (AUC) comparison was performed using the Delong test. RESULTS A total of 135 patients were included, 56 patients with splenic involvement (36 diffuse and 20 focal) and 79 patients with noninvolvement. Splenic involvement can be identified via the ECV fraction (AUC = 0.839). In distinguishing splenic diffuse involvement, the AUC of the ECV fraction was superior to the SVL >13 cm (0.788 vs 0.627, P = 0.007) and obliteration of normal heterogeneous enhancement of the spleen (0.788 vs 0.596, P = 0.001). The combination of ECV fraction and SVL >13 cm demonstrated superior diagnostic performance, with an AUC of 0.830, surpassing all other parameters. CONCLUSION The ECV fraction can be used to identify splenic involvement. The ECV fraction combined with SVL >13 cm is recommended for the prediction of splenic diffuse involvement.
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Affiliation(s)
| | | | - Longlan Chen
- Nuclear Medicine, Chongqing University Cancer Hospital, Chongqing, China
| | | | | | - Lan Li
- Departments of Radiology and
| | - Lu Wang
- Departments of Radiology and
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Sato K, Hisatomi E, Tanaka S, Goto N, Murayama R, Takayama Y, Yoshimitsu K. Chronological change of gallbladder fossa nodularity in the liver as observed in patients with alcoholic liver disease: cross-sectional and longitudinal observation. Jpn J Radiol 2025:10.1007/s11604-025-01741-5. [PMID: 39937400 DOI: 10.1007/s11604-025-01741-5] [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: 11/14/2024] [Accepted: 01/11/2025] [Indexed: 02/13/2025]
Abstract
PURPOSE To confirm the concept that gallbladder fossa nodularity (GBFN) as observe in patients with alcoholic liver disease (ALD) develops in a biphasic fashion as the cirrhotic process progresses, by clarifying the sequential or chronological change of GBFN both in cross-sectional and longitudinal analyses. MATERIALS AND METHODS We retrospectively recruited 52 ALD patients who had both quadruple phase CT and gadoxetate-enhanced MRI (EOB-MRI) within 6 months between 2013 and 2020, and GBFN were morphologically classified into grades 0-3, as previously described. As a cross-sectional study, correlation coefficients (rho values) between mALBI grades and GBFN grades were compared for monophasic vs biphasic models. Biphasic models were defined based on the median values of liver stiffness as measured by MR elastography and extracellular volume fraction as calculated from CT data. Similar analysis was done for GBFN signal intensity on hepatobiliary phase of EOB-MRI (HBP-SI). As a longitudinal study, we recruited patients for whom at least 3-year follow-up of GBFN were available using any CT or MR imaging examination. RESULTS As for cross-sectional study, the rho values for the biphasic model were significantly larger than those for the monophasic model, both for GBFN grades and HBP-SI (p < 0.01). As for the longitudinal study, 10 patients were available, 6 of whom showed downgrading of GBFN as the cirrhotic change progressed. CONCLUSION Our cross sectional and longitudinal analyses suggested GBFN would develop in a biphasic pattern both on morphology and HBP-SI as the cirrhotic process progresses.
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Affiliation(s)
- Keisuke Sato
- Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma Jonan-ku, Fukuoka City, 814-0180, Japan
| | - Eiko Hisatomi
- Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma Jonan-ku, Fukuoka City, 814-0180, Japan
| | - Shinji Tanaka
- Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma Jonan-ku, Fukuoka City, 814-0180, Japan
| | - Nahoko Goto
- Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma Jonan-ku, Fukuoka City, 814-0180, Japan
| | - Ryo Murayama
- Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma Jonan-ku, Fukuoka City, 814-0180, Japan
| | - Yukihisa Takayama
- Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma Jonan-ku, Fukuoka City, 814-0180, Japan
| | - Kengo Yoshimitsu
- Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma Jonan-ku, Fukuoka City, 814-0180, Japan.
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Sasaki T, Takayama Y, Tanaka S, Hamada Y, Nakashima R, Naito S, Kajiwara M, Hasegawa S. Pancreatic extracellular volume fraction on routine contrast-enhanced computed tomography can predict pancreatic fibrosis and postoperative pancreatic fistula. Pancreatology 2025; 25:153-159. [PMID: 39672754 DOI: 10.1016/j.pan.2024.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2024] [Revised: 11/25/2024] [Accepted: 12/05/2024] [Indexed: 12/15/2024]
Abstract
BACKGROUND/OBJECTIVES Postoperative pancreatic fistula (POPF) is a critical complication of pancreatectomy, with a higher risk associated with the absence of pancreatic fibrosis. We investigated whether pancreatic extracellular volume fraction (ECV) calculated from preoperative contrast-enhanced computed tomography (CE-CT) images can be used to predict pancreatic fibrosis and POPF. METHODS This retrospective study included patients who underwent CE-CT before pancreatectomy. ECV map was created by subtracting unenhanced from equilibrium-phase images. We assessed the relationship between pancreatic ECV, the histopathological grade of fibrosis at the pancreatic resection margin, and the occurrence of POPF. RESULTS Among the 107 patients included, 66 underwent pancreaticoduodenectomy (PD) and 41 underwent distal pancreatectomy (DP). The median ECV at the pancreatic resection margin was 22.5 %. Pancreatic ECV significantly correlated with the histopathological grade of pancreatic fibrosis (ρ = 0.689; p < 0.001). In PD cases, the ECV was an independent risk factor for all-grade POPF (odds ratio, 0.852; 95 % confidence interval, 0.755-0.934), with excellent predictive capability (area under the curve, 0.912; 95 % confidence interval, 0.842-0.983). In DP cases, pancreatic thickness was the only factor associated with all-grade POPF. CONCLUSIONS Pancreatic ECV obtained from routine CE-CT images accurately predicted the histopathological grade of pancreatic fibrosis and was an independent risk factor for POPF after PD.
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Affiliation(s)
- Takahide Sasaki
- Department of Gastroenterological Surgery, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Yukihisa Takayama
- Department of Radiology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Shinji Tanaka
- Department of Radiology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Yoshihiro Hamada
- Department of Pathology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Ryo Nakashima
- Department of Gastroenterological Surgery, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Shigetoshi Naito
- Department of Gastroenterological Surgery, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Masatoshi Kajiwara
- Department of Gastroenterological Surgery, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
| | - Suguru Hasegawa
- Department of Gastroenterological Surgery, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
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Hisatomi E, Tanaka S, Sato K, Goto N, Murayama R, Arima H, Takayama Y, Yoshimitsu K. Heterogeneous development of liver fibrosis in chronic hepatitis C patients; assessment by extracellular volume fraction map generated from routine clinical CT data. Eur J Radiol 2025; 182:111845. [PMID: 39616947 DOI: 10.1016/j.ejrad.2024.111845] [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: 08/12/2024] [Revised: 11/07/2024] [Accepted: 11/23/2024] [Indexed: 12/16/2024]
Abstract
OBJECTIVES To clarify the heterogeneous development of liver fibrosis in patients with chronic hepatitis C (CHC) using extracellular volume fraction (ECV) map obtained from routine clinical CT data. METHODS Between November 2012 and July 2020, patients with CHC were retrospectively recruited who had undergone four-phase CT and MR elastography (MRE) within one year. Patients were divided into 4 grades to represent different cirrhotic/fibrotic stage, using two different methods; one based on liver stiffness measured by MRE (MRE model), and the other by mALBI grades (mALBI model). Liver was anatomically divided into 16 sections, namely peripheral and central areas of each segment. ECV map was generated according to the previously reported method, and ECV was measured for the 16 sections. Estimated pathological fibrosis grade was assigned for each section based on the previously reported data. RESULTS There were 150 patients available. In each anatomical section, ECV significantly increases as cirrhotic /fibrotic stage progresses. The peripheral areas of segments 4,5 and 8 were the earliest to show F2 or F3-equivalent ECV (p < 0.05), followed by central areas or other segments. The central areas of segments 6 and 7 were the last to be involved by fibrosis both in MRE and mALBI models, finally almost all sections showing F4-equivalent ECV at the end stage fibrosis. CONCLUSION Fibrosis starts at the peripheral areas of segments 4, 5, and 8, and spreads towards other parts of the liver, with the central areas of segments 6 and 7 being the last, in patients with CHC.
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Affiliation(s)
- Eiko Hisatomi
- Department of Radiology, Fukuoka University, 7-45-1 Nanakuma, Jonanku, Fukuoka, Japan.
| | - Shinji Tanaka
- Department of Radiology, Fukuoka University, 7-45-1 Nanakuma, Jonanku, Fukuoka, Japan.
| | - Keisuke Sato
- Department of Radiology, Fukuoka University, 7-45-1 Nanakuma, Jonanku, Fukuoka, Japan.
| | - Nahoko Goto
- Department of Radiology, Fukuoka University, 7-45-1 Nanakuma, Jonanku, Fukuoka, Japan.
| | - Ryo Murayama
- Department of Radiology, Fukuoka University, 7-45-1 Nanakuma, Jonanku, Fukuoka, Japan.
| | - Hisatomi Arima
- Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonanku, Fukuoka, Japan.
| | - Yukihisa Takayama
- Department of Radiology, Fukuoka University, 7-45-1 Nanakuma, Jonanku, Fukuoka, Japan.
| | - Kengo Yoshimitsu
- Department of Radiology, Fukuoka University, 7-45-1 Nanakuma, Jonanku, Fukuoka, Japan.
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Otake K, Tagami T, Inoue J, Matsuda K, Yokobori S. A Treatment Strategy for Severe Legionella Pneumonia Using Veno-Venous Extracorporeal Membrane Oxygenation. Cureus 2024; 16:e75528. [PMID: 39664291 PMCID: PMC11633522 DOI: 10.7759/cureus.75528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/09/2024] [Indexed: 12/13/2024] Open
Abstract
Legionella pneumophila can cause acute respiratory distress syndrome (ARDS), which often requires intense ventilatory management. L. pneumophila is an aerobic bacterium that prefers a high-oxygen environment. However, existing treatment strategies, including veno-venous extracorporeal membrane oxygenation (V-V ECMO), have not considered the pathogen's preference for high-oxygen environments. Herein, we report two cases of patients with severe legionella pneumonia treated with V-V ECMO. The treatment strategy in these two cases was to maintain the lowest possible oxygen concentrations to inhibit the activity of L. pneumophila. This strategy was successful, indicating that V-V ECMO may be useful to improve outcomes in severe ARDS caused by L. pneumophila, especially when introduced earlier.
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Affiliation(s)
- Kosuke Otake
- Department of Emergency and Critical Care Medicine, Nippon Medical School Musashi-Kosugi Hospital, Kawasaki, JPN
| | - Takashi Tagami
- Department of Emergency and Critical Care Medicine, Nippon Medical School Musashi-Kosugi Hospital, Kawasaki, JPN
| | - Junichi Inoue
- Department of Emergency and Critical Care Medicine, Nippon Medical School Musashi-Kosugi Hospital, Kawasaki, JPN
| | - Kiyoshi Matsuda
- Department of Emergency Medicine, Doshi Village Clinic, Doshi, JPN
| | - Shoji Yokobori
- Department of Emergency and Critical Care Medicine, Division of Neurosurgical Emergency, Nippon Medical School, Tokyo, JPN
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Sato K, Tanaka S, Urakawa H, Murayama R, Hisatomi E, Takayama Y, Yoshimitsu K. Gallbladder fossa nodularity in the liver as observed in alcoholic liver disease patients: Analysis based on hepatobiliary phase signal intensity on gadoxetate-enhanced MRI and extracellular volume fraction calculated from routine CT data. Glob Health Med 2024; 6:183-189. [PMID: 38947406 PMCID: PMC11197160 DOI: 10.35772/ghm.2023.01085] [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: 08/06/2023] [Revised: 12/25/2023] [Accepted: 01/29/2024] [Indexed: 07/02/2024]
Abstract
The purpose of this study is to further verify the concept utilizing signal intensity on hepatobiliary phase (HBP) of gadoxetate-enhanced MRI and extracellular volume fraction (ECV) calculated from CT data. Between Jan 2013 and September 2018, consecutive ALD patients who had both quadruple phase CT and gadoxetate-enhanced MRI within six months were retrospectively recruited. Those who had any intervention or disease involvement around gallbladder fossa were excluded. All images were reviewed and ECV was measured by two experienced radiologists. GBFN grades, and their HBP signal intensity or ECV relative to the surrounding background liver (BGL) were analyzed. There were 48 patients who met the inclusion criteria. There were GBFN grade 0/1/2/3 in 11/15/18/4 patients, respectively. The signal intensity on HBP relative to BGL were iso/slightly high/high in 30/15/3 patients, respectively, and ECV ratio (ECV of GBFN divided by that of BGL) was 0.88 ± 0.18, indicating there are more functioning hepatocytes and less fibrosis in GBFN than in BGL. The GBFN grades were significantly correlated to relative signal intensity at HBP (Spearman's rank correlation, p < 0.01, rho value 0.53), and ECV ratio (p < 0.01, rho value -0.45). Our results suggest GBFN in ALD would represent liver tissues with preserved liver function with less fibrosis, as compared to BGL, which are considered to support our hypothesis as shown above.
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Affiliation(s)
- Keisuke Sato
- Department of Radiology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Shinji Tanaka
- Department of Radiology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Hiroshi Urakawa
- Department of Radiology, Fukuoka University Chikushi Hospital, Chikushino, Japan
| | - Ryo Murayama
- Department of Radiology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Eiko Hisatomi
- Department of Radiology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Yukihisa Takayama
- Department of Radiology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Kengo Yoshimitsu
- Department of Radiology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
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Xu Y, Li Y, Li S, Xue S, Liu J. Dual-energy CT quantification of extracellular liver volume predicts short-term disease progression in patients with hepatitis B liver cirrhosis-acute decompensation. Insights Imaging 2023; 14:51. [PMID: 36977956 PMCID: PMC10050608 DOI: 10.1186/s13244-023-01393-x] [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: 10/21/2022] [Accepted: 02/19/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND Liver cirrhosis-acute decompensation (LC-AD) has rapid short-term disease progression and difficult early risk stratification. The purpose is to develop and validate a model based on dual-energy CT quantification of extracellular liver volume (ECVIC-liver) for predicting the occurrence of acute-on-chronic liver failure (ACLF) within 90 days in patients with hepatitis B (HBV) LC-AD. METHODS The retrospective study included patients with HBV LC-AD who underwent dual-energy CT scans of the liver from January 2018 to March 2022 and were randomized to training group (215 patients) and validation group (92 patients). The primary outcome was the need for readmission within 90 days due to ACLF. Based on the training group data, independent risk factors for disease progression in clinical and dual-energy CT parameters were identified and modeled by logistic regression analysis. Based on the training and validation groups data, receiver operating characteristic (ROC) curves, calibration curves, and decision analysis curves (DCA) were used to verify the discrimination, calibration, and clinical validity of the nomogram. RESULTS Chronic liver failure consortium-acute decompensation score (CLIF-C ADs) (p = 0.008) and ECVIC-liver (p < 0.001) were independent risk factors for ACLF within 90 days. The AUC of the model combined ECVIC-liver and CLIF-C ADs were 0.893 and 0.838 in the training and validation groups, respectively. The calibration curves show good agreement between predicted and actual risks. The DCA indicates that the model has good clinical application. CONCLUSION The model combined ECVIC-liver and CLIF-C ADs can early predict the occurrence of ACLF within 90 days in HBV LC-AD patients.
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Affiliation(s)
- Yuan Xu
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou University Second Hospital, Lanzhou, China
| | - Yufeng Li
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou University Second Hospital, Lanzhou, China
| | - Shenglin Li
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou University Second Hospital, Lanzhou, China
| | - Shouxiao Xue
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou University Second Hospital, Lanzhou, China
| | - Jianli Liu
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China.
- Second Clinical School, Lanzhou University, Lanzhou, China.
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou University Second Hospital, Lanzhou, China.
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Zhang X, Song J, Zhang Y, Wen B, Dai L, Xi R, Wu Q, Li Y, Luo X, Lan X, He Q, Luo W, Lai Q, Ji Y, Zhou L, Qi T, Liu M, Zhou F, Wen W, Li H, Liu Z, Chen Y, Zhu Y, Li J, Huang J, Cheng X, Tu M, Hou J, Wang H, Chen J. Baveno VII algorithm outperformed other models in ruling out high-risk varices in individuals with HBV-related cirrhosis. J Hepatol 2023; 78:574-583. [PMID: 36356684 DOI: 10.1016/j.jhep.2022.10.030] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 10/06/2022] [Accepted: 10/13/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND & AIMS The Baveno VII consensus recommends that spleen stiffness measurement (SSM) ≤40 kPa is safe for ruling out high-risk varices (HRVs) and avoiding endoscopic screening in patients who do not meet the Baveno VI criteria. This study aimed to validate the performance of the Baveno VII algorithm in individuals with HBV-related cirrhosis. METHODS Consecutive individuals with HBV-related cirrhosis who underwent liver stiffness measurement (LSM) and SSM - using a 50 Hz shear wave frequency, spleen diameter measurement, and esophagogastroduodenoscopy (EGD) were prospectively enrolled from June 2020. A 100 Hz probe has been adopted for additional SSM assessment since July 2021. RESULTS From June 2020 to January 2022, 996 patients were screened and 504 were enrolled for analysis. Among the 504 patients in whom SSM was assessed using a 50 Hz probe, the Baveno VII algorithm avoided more EGDs (56.7% vs. 39.1%, p <0.001) than Baveno VI criteria, with a comparable missed HRV rate (3.8% vs. 2.5%). Missed HRV rates were >5% for all other measures: 11.3% for LSM-longitudinal spleen diameter to platelet ratio score, 20.0% for platelet count/longitudinal spleen diameter ratio, and 8.8% for Rete Sicilia Selezione Terapia-hepatitis. SSM@100 Hz was assessed in 232 patients, and the Baveno VII algorithm with SSM@100 Hz spared more EGDs (75.4% vs. 59.5%, p <0.001) than that with SSM@50 Hz, both with a missed HRV rate of 3.0% (1/33). CONCLUSIONS We validated the Baveno VII algorithm, demonstrating the excellent performance of SSM@50 Hz and SSM@100 Hz in ruling out HRV in individuals with HBV-related cirrhosis. Furthermore, the Baveno VII algorithm with SSM@100 Hz could safely rule out more EGDs than that with SSM@50 Hz. CLINICAL TRIAL NUMBER NCT04890730. IMPACT AND IMPLICATIONS The Baveno VII guideline proposed that for patients who do not meet the Baveno VI criteria, SSM ≤40 kPa could avoid further unnecessary endoscopic screening. The current study validated the Baveno VII algorithm using 50 Hz and 100 Hz probes, which both exhibited excellent performance in ruling out HRVs in individuals with HBV-related cirrhosis. Compared with the Baveno VII algorithm with SSM@50 Hz, SSM@100 Hz had a better capability to safely rule out unnecessary EGDs. Baveno VII algorithm will be a practical tool to triage individuals with cirrhosis in future clinical practice.
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Affiliation(s)
- Xiaofeng Zhang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Hepatology, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jiankang Song
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yuanjian Zhang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Biao Wen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Chengdu Medical College, Chengdu, Sichuan, China
| | - Lin Dai
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ranran Xi
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Qiaoping Wu
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yuan Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiaoqin Luo
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Hepatology, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiaoqin Lan
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Qinjun He
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Wenfan Luo
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Qintao Lai
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yali Ji
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ling Zhou
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Tingting Qi
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Miaoxia Liu
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Fuyuan Zhou
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Weiqun Wen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Hui Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Hepatology, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhihua Liu
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yongpeng Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Youfu Zhu
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Junying Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Hepatology, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jing Huang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Hepatology, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiao Cheng
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Hepatology, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Minghan Tu
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Hepatology, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jinlin Hou
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, China
| | - Haiyu Wang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Hepatology, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China; State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, China.
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Sakamoto K, Tanaka S, Sato K, Ito E, Nishiyama M, Urakawa H, Arima H, Yoshimitsu K. What is the "washout" of hepatocellular carcinoma as observed on the equilibrium phase CT?: consideration based on the concept of extracellular volume fraction. Jpn J Radiol 2022; 40:1148-1155. [PMID: 35687200 DOI: 10.1007/s11604-022-01295-w] [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: 04/26/2022] [Accepted: 05/12/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE To verify the hypothesis that extracellular volume fraction (ECV) and precontrast CT density are the main determinants of washout of hepatocellular carcinoma (HCC) at the equilibrium phase CT. MATERIALS AND METHODS Between 2018 and 2020, patients with surgically resected HCC were recruited who had undergone preoperative 4-phase CT. Those larger than 6 cm were excluded to minimize the possibility of intratumoral hemorrhage or degeneration. Two radiologists reviewed the whole images in consensus and divided cases into washout positive and negative groups. Washout positive group at the equilibrium phase was defined as "HCC showing relatively low density as compared to the surrounding background liver (BGL), irrespective of the presence of early enhancement or fibrous capsule". Several clinico-pathological and radiological features, including ECV and precontrast CT density, were correlated to the presence of washout, using uni- and multi-variable analyses. RESULTS 27 HCC in 24 patients met the inclusion criteria. 22 (82%) and five HCC belonged to washout positive and negative groups, respectively. Univariable analysis revealed ECV of HCC and BGL, ECV difference between HCC and BGL, and presence of fibrous capsule on the equilibrium phase CT were the significant factors. Multivariable analysis showed ECV of HCC and BGL, and precontrast CT density of BGL, were the independently significant factors related to washout, suggesting washout is more likely observed with lower HCC ECV, higher BGL ECV, and higher BGL precontrast CT density. CONCLUSION Major determinants of washout of HCC may be ECV of HCC and BGL, and precontrast CT density of BGL.
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Affiliation(s)
- Keiko Sakamoto
- Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonanku, Fukuoka, Japan
| | - Shinji Tanaka
- Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonanku, Fukuoka, Japan
| | - Keisuke Sato
- Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonanku, Fukuoka, Japan
| | - Emi Ito
- Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonanku, Fukuoka, Japan
| | - Marie Nishiyama
- Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonanku, Fukuoka, Japan
| | - Hiroshi Urakawa
- Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonanku, Fukuoka, Japan
| | - Hisatomi Arima
- Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonanku, Fukuoka, Japan
| | - Kengo Yoshimitsu
- Department of Radiology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonanku, Fukuoka, Japan.
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