Skip to Content
MDPIMDPI

Advanced

JCMJournal of Clinical Medicine
PDF
  • Article
  • Open Access

7 January 2026

10 Pages

Prognostic Impact of Combinational Elastography in Patients with Heart Failure

,
,
,
,
,
and
1
Division of Cardiology, Shimane University Faculty of Medicine, 89-1, Enya-cho, Izumo 693-8501, Shimane, Japan
2
Department of Internal Medicine, Izumo City General Medical Center, 613, Nadabuncho, Izumo 693-0003, Shimane, Japan
*
Author to whom correspondence should be addressed.
J. Clin. Med.2026, 15(2), 478;https://doi.org/10.3390/jcm15020478
This article belongs to the Special Issue Innovations in Emergency and Critical Care Medicine
Version Notes
Order Reprints

Abstract

Background: Elastography is a non-invasive technique used to assess tissue stiffness. There are two main types of elastography: shear-wave elastography and strain imaging. Both are useful for evaluating the degree of liver fibrosis (LF). Shear-wave imaging is influenced by fibrosis and hepatic congestion, whereas strain imaging primarily reflects fibrosis progression and is less affected by congestion. We previously reported the clinical usefulness of combinational elastography in patients with heart failure (HF). However, its prognostic significance in this population remains unclear. Accordingly, in this prospective study, we aimed to evaluate the prognostic impact of combinational elastography in patients with HF. Methods: We included 77 patients with HF (median age: 79 years). Shear-wave imaging was used to obtain shear-wave velocity (Vs), whereas the liver fibrosis index (LF index) was derived from strain imaging. The Vs/LF index (V/L) was used as a prognostic indicator based on combinational elastography. Cardiac events were defined as cardiac death or hospitalization due to HF. Results: During a median follow-up of 716 days, 17 cardiac deaths or hospitalizations for HF were observed. The V/L demonstrated a cut-off value of 1.2 for predicting cardiac death or hospitalization for HF, with an area under the curve of 0.80, sensitivity of 0.82, and specificity of 0.68. Kaplan–Meier analysis demonstrated that patients with a high V/L (≥1.2) had significantly higher rates of hospitalization for HF than those with a low V/L (<1.2; log-rank test, p < 0.001). Conclusions: Combinational elastography demonstrated prognostic utility in patients with HF and may serve as a novel, non-invasive tool for assessing hepatic congestion.

1. Introduction

Heart failure (HF) is known to cause hepatic congestion and increased liver stiffness. Consequently, liver dysfunction is strongly associated with HF, and their coexistence is referred to as cardiohepatic syndrome [1,2]. The assessment of congestion remains challenging, as recently reviewed by Miller [3]. Recently, a non-invasive technique known as elastography has been used to assess liver stiffness. Elastography consists of two principal modalities, shear-wave elastography and strain imaging, both of which have been shown to be effective for assessing liver fibrosis (LF) [4]. Shear-wave imaging is affected not only by the degree of liver fibrosis but also by hepatic congestion, whereas strain imaging is relatively insensitive to congestion and mainly reflects the progression of fibrosis [5]. Accordingly, hepatic congestion can be assessed by combining shear-wave imaging with strain imaging, a technique known as combinational elastography [6]. We have previously reported the clinical usefulness of combinational elastography in patients with HF [7,8,9]. However, its prognostic impact on this population has not yet been investigated. Accordingly, we aimed to assess the prognostic impact of combinational elastography in patients with HF.

2. Materials and Methods

2.1. Patients and Protocol

This prospective study included 77 patients with HF who underwent combinational elastography, transthoracic echocardiography, and laboratory evaluations on the same day at the Masuda Red Cross Hospital between May 2017 and November 2018. HF was defined as a clinical syndrome characterized by typical signs and/or symptoms attributable to structural and/or functional cardiac abnormalities, supported by elevated natriuretic peptide levels and/or objective evidence of pulmonary or systemic congestion [10]. None of the participant had a history of or signs of liver disease, previous diagnosis of chronic liver disease, alcohol abuse (≥30 and ≥20 g/day for men and women, respectively), hepatic ultrasonography data indicating liver surface nodularity (a sign of severe fibrosis or ascites), anti-hepatitis C antibody positivity, or hepatitis B surface antigen reactivity. This exclusion was necessary to isolate the effect of congestion but limits generalizability to the broader HF population with comorbid liver disease. All patients undergoing combinational elastography were in a stable hemodynamic condition at the time of assessment and were subsequently followed for clinical outcomes. We evaluated the association between combinational elastography findings and the occurrence of cardiac death or hospitalization due to HF. Patients who received combinational elastography during periods of hemodynamic instability, including acute heart failure decompensation, were excluded.
The study protocol conformed to the principles outlined in the Declaration of Helsinki and was approved by the Ethics Committee of Masuda Red Cross Hospital (approval number: 49). Informed consent was obtained from all participants before their inclusion in the study from the analysis.

2.2. Combinational Elastography

The detailed methodology for combinational elastography was reported in our previous study [8]. All examinations were performed combinational elastography using an ARIETTA S70 or 850 ultrasonography system (Fujifilm Ltd., Tokyo, Japan) by a single experienced examiner (who had performed >500 assessments), blinded to all clinical data. This system is commercially available and testing costs can be reimbursed through insurance. Liver stiffness was assessed by shear-wave imaging through measurement of shear-wave velocity (Vs). Shear waves were generated from a focused ultrasound pulse once the measurement button was pressed, and the Vs value was displayed within approximately 2 s. The LF index was calculated using a multiple regression equation with nine feature values obtained by strain imaging used to diagnose LF in patients with chronic hepatitis C [11,12]. Combinational elastography was conducted via the right intercostal space, inferior to the right anterior axillary line, with the patient in a supine position and the right arm maximally abducted from the liver. A region of interest devoid of large blood vessels was located 1–2 cm below the liver surface (Figure 1). A successful recording of Vs was defined as ≥5 successful readings with a net effective shear-wave velocity of ≥50% [13]. The examiner selected 10 high-quality images to estimate the median LF index. Successful recording of Vs and 10 high-quality images were required to validate combinational elastography. Vs, and the LF index increased stepwise with increasing LF severity [4,13]. The Vs/LF index (V/L) is calculated as the ratio of Vs (which reflects hepatic congestion and fibrosis) to the LF index (which reflects fibrosis alone). This combined elastography measure was used as a prognostic indicator for HF.
Figure 1. Liver stiffness is measured using combinational elastography. Shear-wave velocity is measured using shear-wave imaging. The liver fibrosis index is calculated using a multiple regression equation with nine feature values obtained from strain imaging.

2.3. Laboratory Tests, Echocardiography, and Composite Congestion Score

In addition to combinational elastography, laboratory data, echocardiographic findings, and the composite congestion score (CCS) were obtained on the same day. The CCS was calculated as described by Ambrosy et al., summing points for dyspnea, orthopnea, jugular venous pressure, hepatojugular reflux, peripheral edema, and rates [14]. Laboratory tests included liver function and brain natriuretic peptide level testing. All echocardiographic examinations were acquired by experienced sonographers in accordance with the guidelines of the American Society of Echocardiography/European Association of Cardiovascular Imaging [15]. The biplane method of discs was applied to apical four- and two-chamber images to determine left ventricular ejection fraction. Similarly, left atrial volume was measured using the biplane method of discs, and the left atrial volume was divided by the body surface area to calculate the left atrial volume index. Trans-mitral Doppler flow was used to obtain peak early and late diastolic velocities, while early diastolic mitral annular velocities were recorded at both the septal and lateral annuli. The left ventricular outflow tract velocity–time integral was determined by positioning the pulsed-wave Doppler sample volume just below the aortic valve within the outflow tract. In addition, inferior vena cava (IVC) diameter was assessed from the subcostal window, measured within 3 cm of the junction between the right atrium and IVC during quiet respiration.

2.4. Statistical Analysis

Continuous variables were expressed as medians (interquartile range) and compared using the Mann–Whitney U test. Categorical variables were expressed as numbers and percentages. Kaplan–Meier survival analysis was used to evaluate event-free survival, and differences between groups were assessed by the log-rank test. Receiver operating characteristic (ROC) curves were analyzed to assess the ability of the V/L ratio to predict the prognosis of cardiac death or hospitalization for HF, and the area under the ROC curve (AUC) was calculated. Given the limited number of events, multivariable Cox regression analysis was performed using a parsimonious model including clinically relevant variables, with particular focus on the V/L ratio and the CCS. Statistical analyses were conducted using EZR (version 1.54; Saitama Medical Center, Jichi Medical University, Saitama, Japan) and R software (version 4.0.3; R Foundation for Statistical Computing, Vienna, Austria), accessed through a graphical user interface [16]. Statistical significance was defined as a two-sided p-value < 0.05.

3. Results

3.1. Baseline Characteristics

The baseline characteristics of the participants in each cohort are shown in Table 1. Laboratory data, echocardiographic findings, and CCS data are summarized in Table 2. Patients with New York Heart Association class ≥ II had significantly higher V/L compared with those with New York Heart Association class I (1.4 [1.1–1.7] vs. 1.1 [0.9–1.4], p = 0.022).
Table 1. Baseline characteristics of the participants.
Table 2. Laboratory data, echocardiography findings, and composite congestion score.

3.2. Combinational Elastography and Clinical Outcomes

During a median follow-up of 716 days, 17 cardiac deaths or hospitalizations due to HF were observed, including 2 cardiac deaths and 15 hospitalizations due to HF. The diagnostic accuracy of V/L, Vs value and LF index for predicting cardiac death or hospitalization for HF showed an AUC of 0.80, 0.87 and 0.56 with a sensitivity of 0.82, 0.77 and 0.65, and a specificity of 0.68, 0.85 and 0.63, respectively (Figure 2). The AUC of the V/L was significantly higher than that of the LF index (p < 0.001), whereas no statistically significant difference was observed between the V/L and Vs alone (p = 0.11). The ROC curve analysis identified a cut-off value of 1.2 for V/L, 1.8 for Vs value and 1.3 for LF index, respectively. For comparison, the AUC for brain natrium peptide alone was 0.83 and for the CCS was 0.75 in predicting the primary endpoint. Kaplan–Meier analysis showed that patients in the high V/L group (≥1.2) had a significantly higher incidence of cardiac deaths or hospitalization for HF (p < 0.001, log-rank test) than those in the low V/L group (Figure 3). In the multivariable Cox proportional hazards analysis including both the V/L ratio and the CCS, both parameters remained independently associated with the primary outcome (V/L: p = 0.006; CCS: p < 0.001). Patients who were re-hospitalized for HF showed a significantly higher V/L than those who were not re-hospitalized (p < 0.001; Figure 4).
Figure 2. The diagnostic accuracy of the Shear-wave velocity (Vs)/liver fibrosis (LF) index (V/L) for predicting cardiac death or hospitalization for heart failure. The diagnostic accuracy of the V/L (red line), Vs value (black line) and LF index (blue line) for predicting cardiac death or hospitalizations for heart failure shows an area under the curve (AUC) of 0.80, 0.87 and 0.56 with a sensitivity of 0.82, 0.77 and 0.65, and a specificity of 0.68, 0.85 and 0.63, respectively.
Figure 3. Kaplan–Meier plot of event-free (cardiac death or hospitalization for heart failure) survival in patients in the high Shear-wave velocity/liver fibrosis index (V/L) group (red line) and low V/L (blue line) group. Kaplan–Meier survival analysis demonstrated a significantly higher rate of cardiac death or heart failure–related hospitalization in patients with a high V/L ratio (≥1.2).
Figure 4. Patients re-hospitalized for heart failure show significantly higher Shear-wave velocity/liver fibrosis index (V/L) compared with those who are not re-hospitalized.

4. Discussion

To our knowledge, this is the first study to demonstrate the prognostic utility of combinational elastography (V/L ratio) in patients with HF. The V/L may serve as a complementary tool for congestion assessment, particularly in patients in whom conventional markers are inconclusive. Several studies have examined the association between hepatic elastography and patient outcomes. Liver stiffness measured using shear-wave imaging at admission or before discharge for HF—is associated with adverse events and long-term outcomes, respectively [17,18,19]. However, these studies did not include patients with an underlying liver disease. Combinational elastography can estimate hepatic congestion, even in patients with hepatic disorders such as alcoholic cirrhosis. Therefore, V/L, obtained through combinational elastography, may also offer prognostic value for such patients. Moreover, this technique may be beneficial in patients with chronic hepatic impairment secondary to persistently elevated right atrial pressure, such as after Fontan surgery. In this study, no statistically significant difference was observed between the V/L and Vs alone. Further studies including these populations are warranted.
In the present study, prognostic evaluation focused solely on hepatic congestion. However, previous studies have demonstrated that congestion in other organs—including the kidneys, lungs, gallbladder, spleen, and intestines—is also associated with prognosis in patients with HF [20,21,22,23,24,25]. It remains unclear which organ is the most significant determinant of prognosis. Further investigations are needed to evaluate congestion across multiple organs and to compare their diagnostic and prognostic accuracies. The assessment of multi-organ congestion via point-of-care ultrasound is an emerging paradigm in HF management, as highlighted in recent reviews [26]. Furthermore, although persistent hepatic congestion at discharge was associated with poor outcomes, we did not examine whether additional diuretic therapy to relieve congestion could improve prognosis. Notably, a previous study reported that patients with pulmonary congestion detected using remote dielectric sensing experienced better outcomes after intensification of diuretic therapy, and similar benefits may apply to patients with hepatic congestion [27]. The 2023 ESC Guidelines recommend relieving congestion as a central treatment goal but note that the optimal method to monitor congestion is not well established [28]. Our tool may help address this evidence gap.

Limitations

Several limitations should be acknowledged. First, the relatively small sample size and limited number of clinical events may have affected the robustness of the analysis and introduced potential bias. Multicenter studies including more diverse patient populations are needed to validate the prognostic utility of the V/L. Although the small sample size reduced the robustness of the diagnostic accuracy analysis, the narrower confidence interval for V/L (0.70–0.91) shown in Figure 2 may be considered favorable. Second, the body mass index of the patients was all within the normal range. Fat thickness can affect the accuracy of the measurement for elastography. Excessive subcutaneous fat can affect the measurement results. Third, although Vs values have been reported to be generally comparable across different ultrasound devices, the LF index is a manufacturer-specific parameter and cannot be obtained using ultrasound systems from other vendors [29]. Therefore, V/L and its cut-off value identified in this study are applicable only to the ultrasound equipment used in the present investigation. When Vs is measured using different devices, the optimal cut-off value may differ. This represents an important limitation of the present study. Fourth, we had no data about right ventricular function therefore a relation with elastography may not be made. Fifth, our cohort represents a relatively low-risk population, with preserved IVC diameter and no significant pulmonary hypertension. It would be interesting to include patients with more severe disease and evaluate whether dynamic changes due to diuretic therapy may lead to improvement of V/L and its relation with prognosis. Finally, we did not perform head-to-head comparisons of the prognostic value of V/L against established biomarkers like brain natrium peptide or clinical scores like the CCS.

5. Conclusions

In conclusion, the combinational elastography-derived V/L ratio demonstrates promising prognostic utility in HF patients without primary liver disease. It may serve as a novel, non-invasive tool to quantify hepatic congestion. Future multi-center studies should validate these findings, compare V/L to standard prognostic markers, and explore its utility in guiding decongestive therapy.

Author Contributions

Conceptualization, T.S.; data collection: T.S.; formal analysis, T.S.; writing—original draft preparation, T.S.; writing—review and editing. S.Y., T.O., A.E., H.Y., S.S. and K.T.; supervision, K.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Ethics Committee of the Masuda Red Cross Hospital (approval number: 2017-05-16/49).

Data Availability Statement

A dataset supporting the conclusions of this study has been included in the revised manuscript. Additional data are available upon request from the corresponding author.

Acknowledgments

We sincerely thank Yasuharu Tokuda for his valuable assistance with the echocardiographic examinations performed in this study.

Conflicts of Interest

The authors declare that they have no competing interests.

Abbreviations

The following abbreviations are used in this manuscript:
AUCarea under the curve
CCScomposite congestion score
HFheart failure
IVCinferior vena cava
LF indexliver fibrosis index
ROCreceiver operating characteristic
VsVs value
V/LVs value/liver fibrosis index

References

  1. Laribi, S.; Mebazaa, A. Cardiohepatic syndrome: Liver injury in decompensated heart failure. Curr. Heart Fail. Rep. 2014, 11, 236–240. [Google Scholar] [CrossRef] [Scilit]
  2. Poelzl, G.; Auer, J. Cardiohepatic syndrome. Curr. Heart Fail. Rep. 2015, 12, 68–78. [Google Scholar] [CrossRef] [Scilit]
  3. Miller, W.L. Congestion/decongestion in heart failure: What does it mean, how do we assess it, and what are we missing?—Is there utility in measuring volume? Heart Fail. Rev. 2024, 29, 1187–1199. [Google Scholar] [CrossRef] [Scilit]
  4. Yada, N.; Kudo, M.; Morikawa, H.; Fujimoto, K.; Kato, M.; Kawada, N. Assessment of liver fibrosis with real-time tissue elastography in chronic viral hepatitis. Oncology 2013, 84, 13–20. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  5. Ferraioli, G.; Filice, C.; Castera, L.; Choi, B.I.; Sporea, I.; Wilson, S.R.; Cosgrove, D.; Dietrich, C.F.; Amy, D.; Bamber, J.C.; et al. WFUMB guidelines and recommendations for clinical use of ultrasound elastography: Part 3: Liver. Ultrasound Med. Biol. 2015, 41, 1161–1179. [Google Scholar] [CrossRef] [Scilit]
  6. Yada, N.; Sakurai, T.; Minami, T.; Arizumi, T.; Takita, M.; Hagiwara, S.; Ida, H.; Ueshima, K.; Nishida, N.; Kudo, M. Influence of liver inflammation on liver stiffness measurement in patients with autoimmune hepatitis evaluation by combinational elastography. Oncology 2017, 92, 10–15. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  7. Sakamoto, T.; Ito, S.; Sato, S.; Tobita, H.; Endo, A.; Yoshitomi, H.; Tanabe, K. Evaluation of hepatic congestion in patients with heart failure using shear wave and strain imaging. J. Echocardiogr. 2020, 18, 260–261. [Google Scholar] [CrossRef] [Scilit]
  8. Sakamoto, T.; Ito, S.; Endo, A.; Yoshitomi, H.; Tanabe, K. Combinational elastography. Int. Heart J. 2022, 63, 271–277. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  9. Yamasaki, S.; Sakamoto, T.; Endo, A.; Yoshitomi, H.; Tanabe, K. Combinational elastography prior to pericardiectomy to assess liver condition in patients with constrictive pericarditis. J. Cardiol. Cases 2024, 29, 254–257. [Google Scholar] [CrossRef] [Scilit]
  10. Bozkurt, B.; Coats, A.J.; Tsutsui, H.; Abdelhamid, M.; Adamopoulos, S.; Albert, N.; Anker, S.D.; Atherton, J.; Böhm, M.; Butler, J.; et al. Universal definition and classification of heart failure: A report of the heart failure society of America, heart failure association of the European Society of Cardiology, Japanese heart failure society and writing committee of the universal definition of heart failure. J. Card. Fail. 2021, 27, 387–413. [Google Scholar] [CrossRef] [Scilit]
  11. Fujimoto, K.; Kato, M.; Tonomura, A.; Yada, N.; Tatsumi, C.; Oshita, M.; Wada, S.; Ueshima, K.; Ishida, T.; Furuta, T.; et al. Non-invasive evaluation method of the liver fibrosis using real-time tissue elastography—Usefulness of judgement liver fibrosis stage by liver fibrosis index (LF Index). Kanzo 2010, 51, 539–541. [Google Scholar] [CrossRef] [Scilit]
  12. Fujimoto, K.; Kato, M.; Kudo, M.; Yada, N.; Shiina, T.; Ueshima, K.; Yamada, Y.; Ishida, T.; Azuma, M.; Yamasaki, M.; et al. Novel image analysis method using ultrasound elastography for noninvasive evaluation of hepatic fibrosis in patients with chronic hepatitis C. Oncology 2013, 84, 3–12. [Google Scholar] [CrossRef] [Scilit]
  13. Yada, N.; Sakurai, T.; Minami, T.; Arizumi, T.; Takita, M.; Hagiwara, S.; Ueshima, K.; Ida, H.; Nishida, N.; Kudo, M. A newly developed shear wave elastography modality: With a unique reliability index. Oncology 2015, 89, 53–59. [Google Scholar] [CrossRef] [Scilit]
  14. Ambrosy, A.P.; Pang, P.S.; Khan, S.; Konstam, M.A.; Fonarow, G.C.; Traver, B.; Maggioni, A.P.; Cook, T.; Swedberg, K.; Burnett, J.C.; et al. Clinical course and predictive value of congestion during hospitalization in patients admitted for worsening signs and symptoms of heart failure with reduced ejection fraction: Findings from the Everest trial. Eur. Heart J. 2013, 34, 835–843. [Google Scholar] [CrossRef] [Scilit]
  15. Lang, R.M.; Badano, L.P.; Mor-Avi, V.; Afilalo, J.; Armstrong, A.; Ernande, L.; Flachskampf, F.A.; Foster, E.; Goldstein, S.A.; Kuznetsova, T.; et al. Recommendations for cardiac chamber quantification by echocardiography in adults: An update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. J. Am. Soc. Echocardiogr. 2015, 28, 1–39.e14. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  16. Kanda, Y. Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone Marrow Transplant. 2013, 48, 452–458. [Google Scholar] [CrossRef] [Scilit]
  17. Taniguchi, T.; Sakata, Y.; Ohtani, T.; Mizote, I.; Takeda, Y.; Asano, Y.; Masuda, M.; Minamiguchi, H.; Kanzaki, M.; Ichibori, Y.; et al. Usefulness of transient elastography for noninvasive and reliable estimation of right-sided filling pressure in heart failure. Am. J. Cardiol. 2014, 113, 552–558. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  18. Yoshitani, T.; Asakawa, N.; Sakakibara, M.; Noguchi, K.; Tokuda, Y.; Kamiya, K.; Iwano, H.; Yamada, S.; Kudou, Y.; Nishida, M.; et al. Value of virtual touch quantification elastography for assessing liver congestion in patients with heart failure. Circ. J. 2016, 80, 1187–1195. [Google Scholar] [CrossRef] [Scilit]
  19. Saito, Y.; Kato, M.; Nagashima, K.; Monno, K.; Aizawa, Y.; Okumura, Y.; Matsumoto, N.; Moriyama, M.; Hirayama, A. Prognostic relevance of liver stiffness assessed by transient elastography in patients with acute decompensated heart failure. Circ. J. 2018, 82, 1822–1829. [Google Scholar] [CrossRef] [Scilit]
  20. Sakamoto, T.; Tanabe, K. Assessment of organ congestion in patients with heart failure by ultrasonography. J. Echocardiogr. 2022, 20, 10–15. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  21. Iida, N.; Seo, Y.; Sai, S.; Machino-Ohtsuka, T.; Yamamoto, M.; Ishizu, T.; Kawakami, Y.; Aonuma, K. Clinical implications of intrarenal hemodynamic evaluation by Doppler ultrasonography in heart failure. JACC Heart Fail. 2016, 4, 674–682. [Google Scholar] [CrossRef] [Scilit]
  22. Sakamoto, T.; Asanuma, T.; Sasaki, H.; Kawahara, H.; Uchida, K.; Endo, A.; Yoshitomi, H.; Tanabe, K. Diagnostic value of lung ultrasound B-lines for evaluating left ventricular filling pressure. Cardiovasc. Ultrasound 2025, 23, 6. [Google Scholar] [CrossRef] [Scilit]
  23. Sakamoto, T.; Uchida, K.; Endo, A.; Yoshitomi, H.; Tanabe, K. Gallbladder wall thickness-based assessment of organ congestion in patients with heart failure. Circ. Rep. 2022, 4, 166–172. [Google Scholar] [CrossRef] [Scilit]
  24. Saito, Y.; Matsumoto, N.; Aizawa, Y.; Fukamachi, D.; Kitano, D.; Kazuto, T.; Tamaki, T.; Fujito, H.; Sezai, A.; Okumura, Y. Clinical significance of spleen stiffness in patients with acute decompensated heart failure. ESC Heart Fail. 2020, 7, 4005–4014. [Google Scholar] [CrossRef] [Scilit]
  25. Ikeda, Y.; Ishii, S.; Fujita, T.; Iida, Y.; Kaida, T.; Nabeta, T.; Maekawa, E.; Yanagisawa, T.; Koitabashi, T.; Takeuchi, I.; et al. Prognostic impact of intestinal wall thickening in hospitalized patients with heart failure. Int. J. Cardiol. 2017, 230, 120–126. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  26. Di Fiore, V.; Del Punta, L.; De Biase, N.; Pellicori, P.; Gargani, L.; Dini, F.L.; Armenia, S.; Li Vigni, M.; Maremmani, D.; Masi, S.; et al. Integrative assessment of congestion in heart failure using ultrasound imaging. Intern. Emerg. Med. 2025, 20, 11–22. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  27. Lala, A.; Barghash, M.H.; Giustino, G.; Alvarez-Garcia, J.; Konje, S.; Parikh, A.; Ullman, J.; Keith, B.; Donehey, J.; Mitter, S.S.; et al. Early use of remote dielectric sensing after hospitalization to reduce heart failure readmissions. ESC Heart Fail. 2021, 8, 1047–1054. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  28. McDonagh, T.A.; Metra, M.; Adamo, M.; Gardner, R.S.; Baumbach, A.; Böhm, M.; Burri, H.; Butler, J.; Čelutkienė, J.; Chioncel, O.; et al. 2023 Focused Update of the 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: Developed by the task force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC) With the special contribution of the Heart Failure Association (HFA) of the ESC. Eur. J. Heart Fail. 2024, 26, 5–17. [Google Scholar] [CrossRef] [Scilit]
  29. Iijima, H.; Tada, T.; Kumada, T.; Kobayashi, N.; Yoshida, M.; Aoki, T.; Nishimura, T.; Nakano, C.; Ishii, A.; Takashima, T.; et al. Comparison of liver stiffness assessment by transient elastography and shear wave elastography using six ultrasound devices. Hepatol. Res. 2019, 49, 676–686. [Google Scholar] [CrossRef] [Scilit]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Article Metrics

Citations

Article Access Statistics

Journal Statistics
Multiple requests from the same IP address are counted as one view.
Proton Beam Therapy for Sinonasal Neuroendocrine Carcinoma: A Six-Case Series with Dosimetric Comparison and Literature Review
Previous
Intraoperative Suction-Assisted Kyphoplasty for Immediate Removal of Posterior PMMA Extravasation in Decompressed Vertebral Compression Fractures
Next