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Nguyen T, Vennatt J, Downs L, Surabhi V, Stanietzky N. Advanced Imaging of Hepatocellular Carcinoma: A Review of Current and Novel Techniques. J Gastrointest Cancer 2024; 55:1469-1484. [PMID: 39158837 DOI: 10.1007/s12029-024-01094-8] [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] [Accepted: 07/16/2024] [Indexed: 08/20/2024]
Abstract
Hepatocellular carcinoma (HCC) is the most common primary carcinoma arising from the liver. Although HCC can arise de novo, the vast majority of cases develop in the setting of chronic liver disease. Hepatocarcinogenesis follows a well-studied process during which chronic inflammation and cellular damage precipitate cellular and genetic aberrations, with subsequent propagation of precancerous and cancerous lesions. Surveillance of individuals at high risk of HCC, early diagnosis, and individualized treatment are keys to reducing the mortality associated with this disease. Radiological imaging plays a critical role in the diagnosis and management of these patients. HCC is a unique cancer in that it can be diagnosed with confidence by imaging that meets all radiologic criteria, obviating the risks associated with tissue sampling. This article discusses conventional and emerging imaging techniques for the evaluation of HCC.
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Affiliation(s)
- Trinh Nguyen
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA
| | - Jaijo Vennatt
- Department of Diagnostic Radiology, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77030, USA
| | - Lincoln Downs
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA
| | - Venkateswar Surabhi
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA
| | - Nir Stanietzky
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA.
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Skrip LM, Moosburner S, Tang P, Guo J, Görner S, Tzschätzsch H, Brüggemann K, Walter KA, Hosse C, Fehrenbach U, Arnold A, Modest D, Krenzien F, Schöning W, Malinka T, Pratschke J, Papke B, Käs JA, Sack I, Sauer IM, Hillebrandt KH. Viscoelastic properties of colorectal liver metastases reflect tumour cell viability. J Transl Med 2024; 22:774. [PMID: 39152426 PMCID: PMC11328469 DOI: 10.1186/s12967-024-05559-z] [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: 05/30/2024] [Accepted: 07/29/2024] [Indexed: 08/19/2024] Open
Abstract
BACKGROUND Colorectal cancer is the third most common tumour entity in the world and up to 50% of the patients develop liver metastases (CRLM) within five years. To improve and personalize therapeutic strategies, new diagnostic tools are urgently needed. For instance, biomechanical tumour properties measured by magnetic resonance elastography (MRE) could be implemented as such a diagnostic tool. We postulate that ex vivo MRE combined with histological and radiological evaluation of CRLM could provide biomechanics-based diagnostic markers for cell viability in tumours. METHODS 34 CRLM specimens from patients who had undergone hepatic resection were studied using ex vivo MRE in a frequency range from 500 Hz to 5300 Hz with increments of 400 Hz. Single frequency evaluation of shear wave speed and wave penetration rate as proxies for stiffness and viscosity was performed, along with rheological model fitting based on the spring-pot model and powerlaw exponent α, ranging between 0 (complete solid behaviour) and 1 (complete fluid behaviour). For histological analysis, samples were stained with H&E and categorized according to the degree of regression. Quantitative histologic analysis was performed to analyse nucleus size, aspect ratio, and density. Radiological response was assessed according to RECIST-criteria. RESULTS Five samples showed major response to chemotherapy, six samples partial response and 23 samples no response. For higher frequencies (> 2100 Hz), shear wave speed correlated significantly with the degree of regression (p ≤ 0.05) indicating stiffer properties with less viable tumour cells. Correspondingly, rheological analysis of α revealed more elastic-solid tissue properties at low cell viability and major response (α = 0.43 IQR 0.36, 0.47) than at higher cell viability and no response (α = 0.51 IQR 0.48, 0.55; p = 0.03). Quantitative histological analysis showed a decreased nuclear area and density as well as a higher nuclear aspect ratio in patients with major response to treatment compared to patients with no response (all p < 0.05). DISCUSSION Our results suggest that MRE could be useful in the characterization of biomechanical property changes associated with cell viability in CRLM. In the future, MRE could be applied in clinical diagnosis to support individually tailored therapy plans for patients with CRLM.
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Affiliation(s)
- Lisa-Marie Skrip
- Department of Surgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Simon Moosburner
- Department of Surgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
- Clinician Scientist Program, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BIH Academy, Berlin, Germany
| | - Peter Tang
- Department of Surgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Jing Guo
- Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Steffen Görner
- Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Heiko Tzschätzsch
- Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Kristin Brüggemann
- Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Kilian Alexander Walter
- Department of Surgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Clarissa Hosse
- Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Uli Fehrenbach
- Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Alexander Arnold
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Dominik Modest
- Department of Hematology, Oncology, and Cancer Immunology (CVK/CCM), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Felix Krenzien
- Department of Surgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
- Clinician Scientist Program, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BIH Academy, Berlin, Germany
| | - Wenzel Schöning
- Department of Surgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Thomas Malinka
- Department of Surgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Johann Pratschke
- Department of Surgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Björn Papke
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Josef A Käs
- Soft Matter Physics Division, Peter Debye Institute for Soft Matter Physics, University of Leipzig, Leipzig, Germany
| | - Ingolf Sack
- Clinician Scientist Program, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BIH Academy, Berlin, Germany
| | - Igor M Sauer
- Department of Surgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
| | - Karl H Hillebrandt
- Department of Surgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
- Clinician Scientist Program, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BIH Academy, Berlin, Germany
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Gedekar P, Chavhan A, Hiwale KM, Sagar S. A Case Presentation of Well-Differentiated Hepatocellular Carcinoma With No Sign of Liver Disease. Cureus 2024; 16:e61635. [PMID: 38966460 PMCID: PMC11223716 DOI: 10.7759/cureus.61635] [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] [Received: 05/17/2024] [Accepted: 06/04/2024] [Indexed: 07/06/2024] Open
Abstract
The type of liver cancer that occurs most frequently is hepatocellular carcinoma (HCC). The majority of cases of HCC are secondary to alcoholic cirrhosis or viral hepatitis. The presence of malignant cells with modest nuclear atypia that resemble normal hepatocytes and the lack of bare nuclei in the smears, which shows the neoplastic hepatocytes' capacity, are characteristics of a well-differentiated HCC plasma membrane to tolerate smearing. We present the case of an 83-year-old male patient with a well-differentiated HCC, who had no etiological factors and no signs of alcohol cirrhotic liver, or any symptoms of liver disease which are the main causes of the HCC.
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Affiliation(s)
- Prachi Gedekar
- Medicine, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Atul Chavhan
- Pathology, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - K M Hiwale
- Pathology, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Shakti Sagar
- Pathology, Datta Meghe Institute of Higher Education and Research, Wardha, IND
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Xiao Y, Chen W, Long X, Li M, Zhang L, Liu C, Deng Y, Li C, He B, Chen J, Wang J. 3D MR elastography-based stiffness as a marker for predicting tumor grade and subtype in cervical cancer. Magn Reson Imaging 2024; 109:173-179. [PMID: 38484948 DOI: 10.1016/j.mri.2024.03.006] [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: 11/30/2023] [Revised: 03/05/2024] [Accepted: 03/05/2024] [Indexed: 03/25/2024]
Abstract
BACKGROUND Increasing evidence has indicated that high tissue stiffness (TS) may be a potential biomarker for evaluation of tumor aggressiveness. PURPOSE To investigate the value of magnetic resonance elastography (MRE)-based quantitative parameters preoperatively predicting the tumor grade and subtype of cervical cancer (CC). STUDY TYPE Retrospective. POPULATION Twenty-five histopathology-proven CC patients and 7 healthy participants. FIELD STRENGTH/SEQUENCE 3.0T, magnetic resonance imaging (MRI) (LAVA-flex) and MRE with a three-dimensional spin-echo echo-planar imaging. ASSESSMENT The regions of interest (ROIs) were manually drawn by two observers in tumors to measure mean TS, storage modulus (G'), loss modulus (G″) and damping ratio (DR) values. Surgical specimens were evaluated for tumor grades and subtypes. STATISTICAL TESTS Intraclass correlation coefficient (ICC) was expressed in terms of inter-observer agreements. t-test or Mann-Whitney nonparametric test was used to compare the complex modulus and apparent diffusion coefficient (ADC) values between different tumor groups. Area under the receiver operating characteristic curve (AUC) analysis was used to evaluate the diagnostic performance. RESULTS The TS of endocervical adenocarcinoma (ECA) group was significantly higher than that in squamous cell carcinoma (SCC) group (5.27 kPa vs. 3.44 kPa, P = 0.042). The TS also showed significant difference between poorly and well/moderately differentiated CC (5.21 kPa vs. 3.47 kPa, P = 0.038), CC patients and healthy participants (4.18 kPa vs. 1.99 kPa, P < 0.001). The cutoff value of TS to discriminate ECA from SCC was 4.10 kPa (AUC: 0.80), while it was 4.42 kPa to discriminate poorly from well/moderately differentiated CC (AUC: 0.83), and 2.25 kPa to distinguish normal cervix from CC (AUC: 0.88), respectively. There were no significant difference in G″, DR and ADC values between any subgroups except for comparison of healthy participants and CC patients (P = 0.001, P = 0.004, P < 0.001, respectively). DATA CONCLUSION 3D MRE-assessed TS shows promise as a potential biomarker to preoperatively assess tumor grade and subtype of CC.
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Affiliation(s)
- Yuanqiang Xiao
- Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, Guangdong 510630, China.
| | - Wenying Chen
- Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, Guangdong 510630, China.
| | - Xi Long
- Department of Radiology, Meizhou People's Hospital (Huangtang Hospital), Meizhou 51403, China.
| | - Mengsi Li
- Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, Guangdong 510630, China.
| | - Lina Zhang
- Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, Guangdong 510630, China.
| | - Chang Liu
- Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, Guangdong 510630, China.
| | - Ying Deng
- Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, Guangdong 510630, China.
| | - Chao Li
- Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, Guangdong 510630, China.
| | - Bingjun He
- Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, Guangdong 510630, China.
| | - Jun Chen
- Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.
| | - Jin Wang
- Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, Guangdong 510630, China.
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Lee JH, Hwang JA, Gu K, Shin J, Han S, Kim YK. Magnetic resonance elastography as a preoperative assessment for predicting intrahepatic recurrence in patients with hepatocellular carcinoma. Magn Reson Imaging 2024; 109:127-133. [PMID: 38513784 DOI: 10.1016/j.mri.2024.03.014] [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: 01/26/2024] [Revised: 03/03/2024] [Accepted: 03/13/2024] [Indexed: 03/23/2024]
Abstract
PURPOSE Magnetic resonance elastography (MRE) is a noninvasive tool for diagnosing hepatic fibrosis with high accuracy. We investigated the preoperative clinical and imaging predictors of intrahepatic recurrence after curative resection of hepatocellular carcinoma (HCC), and evaluated MRE as a predictor of intrahepatic recurrence. METHODS We retrospectively evaluated 80 patients who underwent preoperative contrast-enhanced magnetic resonance imaging (MRI) with two-dimensional MRE and curative resection for treatment-naïve HCC between May 2019 and December 2021. Liver stiffness (LS) was measured on the elastograms, and the optimal cutoff of LS for predicting intrahepatic recurrence was obtained using receiver operating characteristic (ROC) analysis. An LS above this cutoff was defined as MRE-recurrence. Preoperative imaging features of the tumor were assessed on MRI, including features in the Liver Imaging Reporting and Data System and microvascular invasion (MVI). Recurrence-free survival (RFS) rates were estimated using the Kaplan-Meier method, and differences were compared using the log-rank test. Using a Cox proportional hazards model, we conducted a multivariable analysis to investigate the factors affecting recurrence-free survival. RESULTS During a median follow-up period of 32 months (range, 4-52 months), thirteen patients (16.3%) developed intrahepatic recurrence. ROC analysis determined an LS cutoff of ≥4.35 kPa to define MRE-recurrence. The 4-year RFS rate was significantly higher in patients without MRE-recurrence than in those with MRE-recurrence (93.4% vs. 48.9%; p = 0.001). In multivariable analysis, MRE-recurrence (Hazard ratio [HR], 5.9; 95% confidence interval [CI], 1.5-23.1) and MVI (HR, 3.4; 95% CI, 1.0-11.3) were independent predictors of intrahepatic recurrence. CONCLUSIONS Patients without MRE-recurrence had significantly higher RFS rates than those with MRE-recurrence. MRE-recurrence and MVI were independent predictors of intrahepatic recurrence in patients after curative resection for HCC.
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Affiliation(s)
- Jeong Hyun Lee
- Department of Radiology and Center for Imaging Sciences, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jeong Ah Hwang
- Department of Radiology and Center for Imaging Sciences, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| | - Kyowon Gu
- Department of Radiology and Center for Imaging Sciences, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jaeseung Shin
- Department of Radiology and Center for Imaging Sciences, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Seungchul Han
- Department of Radiology and Center for Imaging Sciences, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Young Kon Kim
- Department of Radiology and Center for Imaging Sciences, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
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Taiji R, Cortes AC, Zaske AM, Williams M, Dupuis C, Tanaka T, Nishiofuku H, Chintalapani G, Peterson CB, Avritscher R. Liver Cancer Vascularity Driven by Extracellular Matrix Stiffness: Implications for Imaging Research. Invest Radiol 2023; 58:894-902. [PMID: 37403975 DOI: 10.1097/rli.0000000000001001] [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: 07/06/2023]
Abstract
BACKGROUND Extracellular matrix stiffness represents a barrier to effective local and systemic drug delivery. Increasing stiffness disrupts newly formed vessel architecture and integrity, leading to tumor-like vasculature. The resulting vascular phenotypes are manifested through different cross-sectional imaging features. Contrast-enhanced studies can help elucidate the interplay between liver tumor stiffness and different vascular phenotypes. PURPOSE This study aims to correlate extracellular matrix stiffness, dynamic contrast-enhanced computed tomography, and dynamic contrast-enhancement ultrasound imaging features of 2 rat hepatocellular carcinoma tumor models. METHODS AND MATERIALS Buffalo-McA-RH7777 and Sprague Dawley (SD)-N1S1 tumor models were used to evaluate tumor stiffness by 2-dimensional shear wave elastography, along with tumor perfusion by dynamic contrast-enhanced ultrasonography and contrast-enhanced computed tomography. Atomic force microscopy was used to calculate tumor stiffness at a submicron scale. Computer-aided image analyses were performed to evaluate tumor necrosis, as well as the percentage, distribution, and thickness of CD34+ blood vessels. RESULTS Distinct tissue signatures between models were observed according to the distribution of the stiffness values by 2-dimensional shear wave elastography and atomic force microscopy ( P < 0.05). Higher stiffness values were attributed to SD-N1S1 tumors, also associated with a scant microvascular network ( P ≤ 0.001). Opposite results were observed in the Buffalo-McA-RH7777 model, exhibiting lower stiffness values and richer tumor vasculature with predominantly peripheral distribution ( P = 0.03). Consistent with these findings, tumor enhancement was significantly greater in the Buffalo-McA-RH7777 tumor model than in the SD-N1S1 on both dynamic contrast-enhanced ultrasonography and contrast-enhanced computed tomography ( P < 0.005). A statistically significant positive correlation was observed between tumor perfusion on dynamic contrast-enhanced ultrasonography and contrast-enhanced computed tomography in terms of the total area under the curve and % microvessel tumor coverage ( P < 0.05). CONCLUSIONS The stiffness signatures translated into different tumor vascular phenotypes. Two-dimensional shear wave elastography and dynamic contrast-enhanced ultrasonography adequately depicted different stromal patterns, which resulted in unique imaging perfusion parameters with significantly greater contrast enhancement observed in softer tumors.
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Affiliation(s)
- Ryosuke Taiji
- From the Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX (R.T., A.C.C., M.W., C.D., R.A.); Department of Diagnostic and Interventional Radiology, Nara Medical University, Nara, Japan (R.T., T.T., H.N.); Cardiology Division, Department of Internal Medicine, UT Health Science Center at Houston, Houston, TX (A.M.Z.); Siemens Healthineers AG, Erlangen, Germany (G.C.); and Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, (C.B.P.)
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Abstract
ABSTRACT The mechanical traits of cancer include abnormally high solid stress as well as drastic and spatially heterogeneous changes in intrinsic mechanical tissue properties. Whereas solid stress elicits mechanosensory signals promoting tumor progression, mechanical heterogeneity is conducive to cell unjamming and metastatic spread. This reductionist view of tumorigenesis and malignant transformation provides a generalized framework for understanding the physical principles of tumor aggressiveness and harnessing them as novel in vivo imaging markers. Magnetic resonance elastography is an emerging imaging technology for depicting the viscoelastic properties of biological soft tissues and clinically characterizing tumors in terms of their biomechanical properties. This review article presents recent technical developments, basic results, and clinical applications of magnetic resonance elastography in patients with malignant tumors.
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Affiliation(s)
- Jing Guo
- From the Department of Radiology
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Liang J, Ampuero J, Castell J, Zhang Q, Zhang S, Chen Y, Romero-Gómez M. Clinical application of Magnetic resonance elastography in hepatocellular carcinoma: from diagnosis to prognosis. Ann Hepatol 2023; 28:100889. [PMID: 36572210 DOI: 10.1016/j.aohep.2022.100889] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 10/26/2022] [Accepted: 11/29/2022] [Indexed: 12/31/2022]
Abstract
Hepatocellular carcinoma (HCC) is the most common primary liver cancer and a major public health problem worldwide. Liver fibrosis is closely correlated with liver functional reserve and the risk of HCC development. Meanwhile, malignant tumors generally have high cellularity compared to benign tumors, which results in increased stiffness. Magnetic resonance elastography (MRE) has emerged as a new non-invasive technique for assessing tissue stiffness with excellent diagnostic accuracy, not only for assessing liver fibrosis but also for measuring tumor stiffness. Recent studies provide new evidence that MRE may play an important role in the management of patients with HCC and show several novel clinical applications, such as predicting the development of HCC, differentiating between benign/malignant liver lesions (FLL) and HCC pathological grades, assessing treatment response, and predicting recurrence after treatment, although some findings are controversial. Therefore, we conducted this review to summarize these novel applications of MRE in HCC patients and also discuss their limitations and future advancement.
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Affiliation(s)
- Jiaxu Liang
- Department of Diagnostic Radiology, The Fifth Clinical Medical College of Henan University of Chinese Medicine (Zhengzhou People's hospital), Zhengzhou, China; Digestive Diseases Unit, CIBEREHD, Virgen del Rocío University Hospital, Seville, Spain; Institute of Biomedicine of Seville (HUVR/CSIC/US), Seville, Spain, University of Seville, Seville, Spain
| | - Javier Ampuero
- Digestive Diseases Unit, CIBEREHD, Virgen del Rocío University Hospital, Seville, Spain; Institute of Biomedicine of Seville (HUVR/CSIC/US), Seville, Spain, University of Seville, Seville, Spain
| | - Javier Castell
- Department of Radiology, Virgen del Rocío University Hospital, Seville, Spain
| | - Qiong Zhang
- Department of Diagnostic Radiology, The Fifth Clinical Medical College of Henan University of Chinese Medicine (Zhengzhou People's hospital), Zhengzhou, China
| | - Sijia Zhang
- Department of Diagnostic Radiology, The Fifth Clinical Medical College of Henan University of Chinese Medicine (Zhengzhou People's hospital), Zhengzhou, China
| | - Yong Chen
- Department of Diagnostic Radiology, The Fifth Clinical Medical College of Henan University of Chinese Medicine (Zhengzhou People's hospital), Zhengzhou, China
| | - Manuel Romero-Gómez
- Digestive Diseases Unit, CIBEREHD, Virgen del Rocío University Hospital, Seville, Spain; Institute of Biomedicine of Seville (HUVR/CSIC/US), Seville, Spain, University of Seville, Seville, Spain.
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9
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Tumor stiffness measurement using magnetic resonance elastography can predict recurrence and survival after curative resection of hepatocellular carcinoma. Surgery 2023; 173:450-456. [PMID: 36481063 DOI: 10.1016/j.surg.2022.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 11/02/2022] [Accepted: 11/07/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Tumor stiffness measurement using magnetic resonance elastography can assess tumor mechanical properties and predict hepatocellular carcinoma recurrence. This study aimed to investigate preoperative tumor stiffness on magnetic resonance elastography as a predictor of overall survival and recurrence-free survival in patients with solitary nodular hepatocellular carcinoma who underwent curative resection. METHODS Seventy-eight patients with solitary nodular hepatocellular carcinoma who underwent preoperative magnetic resonance elastography and curative resection were retrospectively analyzed. Potential associations of tumor stiffness and other clinicopathological variables with overall survival and recurrence-free survival were analyzed in both univariate and multivariate Cox proportional hazards analyses. The optimal tumor stiffness cutoff value was determined using the minimal P value approach. RESULTS In multivariate analysis, tumor stiffness (hazard ratio 1.31; 95% confidence interval, 1.07-1.59; P = .008) and vascular invasion (hazard ratio 2.62; 95% confidence interval, 1.27-5.17; P = .010) were independent predictors of recurrence-free survival. For overall survival, tumor stiffness (hazard ratio, 1.33; 95% confidence interval, 1.02-1.76; P = .037) was the only independent predictor. The optimal tumor stiffness cutoff value was 5.81 kPa for both overall survival and recurrence-free survival. Patients with tumor stiffness ≥5.81 kPa had a significantly greater risk of death (hazard ratio 6.10; 95% confidence interval, 2.11-21.90; P < .001) than those with tumor stiffness <5.81 kPa. CONCLUSION Preoperative tumor stiffness as measured by magnetic resonance elastography was a predictor of overall survival and recurrence-free survival in hepatocellular carcinoma patients who underwent curative resection. Higher tumor stiffness was associated with higher risk of recurrence and death.
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Gao S, Zhang Y, Sun W, Jin K, Dai Y, Wang F, Qian X, Han J, Sheng R, Zeng M. Assessment of an
MR
Elastography‐Based Nomogram as a Potential Imaging Biomarker for Predicting Microvascular Invasion of Hepatocellular Carcinoma. J Magn Reson Imaging 2022. [DOI: 10.1002/jmri.28553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 11/20/2022] [Accepted: 11/21/2022] [Indexed: 12/14/2022] Open
Affiliation(s)
- Shanshan Gao
- Department of Radiology, Zhongshan Hospital Fudan University Shanghai China
- Central Research Institute United Imaging Healthcare Shanghai China
| | - Yunfei Zhang
- Central Research Institute United Imaging Healthcare Shanghai China
- Shanghai Institute of Medical Imaging Shanghai China
| | - Wei Sun
- Department of Radiology, Zhongshan Hospital Fudan University Shanghai China
- Central Research Institute United Imaging Healthcare Shanghai China
| | - Kaipu Jin
- Department of Radiology, Zhongshan Hospital Fudan University Shanghai China
- Central Research Institute United Imaging Healthcare Shanghai China
| | - Yongming Dai
- Shanghai Institute of Medical Imaging Shanghai China
| | - Feihang Wang
- Central Research Institute United Imaging Healthcare Shanghai China
- Department of Interventional Radiology, Zhongshan Hospital Fudan University Shanghai China
| | - Xianling Qian
- Department of Radiology, Zhongshan Hospital Fudan University Shanghai China
- Central Research Institute United Imaging Healthcare Shanghai China
| | - Jing Han
- Department of Pathology, Zhongshan Hospital Fudan University Shanghai China
| | - Ruofan Sheng
- Department of Radiology, Zhongshan Hospital Fudan University Shanghai China
- Department of Radiology, Zhongshan Hospital (Xiamen) Fudan University Xiamen China
| | - Mengsu Zeng
- Department of Radiology, Zhongshan Hospital Fudan University Shanghai China
- Central Research Institute United Imaging Healthcare Shanghai China
- Department of Cancer Center, Zhongshan Hospital Fudan University Shanghai China
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11
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Deng B, Zhao Z, Kong W, Han C, Shen X, Zhou C. Biological role of matrix stiffness in tumor growth and treatment. J Transl Med 2022; 20:540. [PMID: 36419159 PMCID: PMC9682678 DOI: 10.1186/s12967-022-03768-y] [Citation(s) in RCA: 62] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 11/09/2022] [Indexed: 11/24/2022] Open
Abstract
In recent years, the biological role of changes in physical factors in carcinogenesis and progression has attracted increasing attention. Matrix stiffness, also known as ECM stress, is a critical physical factor of tumor microenvironment and remains alternating during carcinogenesis as a result of ECM remodeling through activation of cancer-associated fibroblasts and extracellular collagen accumulation, crosslinking and fibrosis. Different content and density of extracellular collagen in ECM endows matrix with varying stiffness. Physical signals induced by matrix stiffness are transmitted to tumor cells primarily by the integrins receptor family and trigger a series of mechanotransduction that result in changes in tumor cell morphology, proliferative capacity, and invasive ability. Importantly, accumulating evidence revealed that changes in matrix stiffness in tumor tissues greatly control the sensitivity of tumor cells in response to chemotherapy, radiotherapy, and immunotherapy through integrin signaling, YAP signaling, and related signaling pathways. Here, the present review analyzes the current research advances on matrix stiffness and tumor cell behavior with a view to contributing to tumor cell growth and treatment, with the hope of improving the understanding of the biological role of matrix stiffness in tumors.
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Affiliation(s)
- Boer Deng
- grid.24696.3f0000 0004 0369 153XDepartment of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, People’s Republic of China ,grid.10698.360000000122483208Division of Gynecologic Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA
| | - Ziyi Zhao
- grid.24696.3f0000 0004 0369 153XDepartment of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, People’s Republic of China ,grid.10698.360000000122483208Division of Gynecologic Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA
| | - Weimin Kong
- grid.24696.3f0000 0004 0369 153XDepartment of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, People’s Republic of China ,grid.10698.360000000122483208Division of Gynecologic Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA
| | - Chao Han
- grid.24696.3f0000 0004 0369 153XDepartment of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, People’s Republic of China
| | - Xiaochang Shen
- grid.24696.3f0000 0004 0369 153XDepartment of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, People’s Republic of China ,grid.10698.360000000122483208Division of Gynecologic Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA
| | - Chunxiao Zhou
- grid.10698.360000000122483208Division of Gynecologic Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA ,grid.10698.360000000122483208Lineberger Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA
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12
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Cheng K, Cai N, Zhu J, Yang X, Liang H, Zhang W. Tumor-associated macrophages in liver cancer: From mechanisms to therapy. CANCER COMMUNICATIONS (LONDON, ENGLAND) 2022; 42:1112-1140. [PMID: 36069342 DOI: 10.1002/cac2.12345] [Citation(s) in RCA: 117] [Impact Index Per Article: 58.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 06/28/2022] [Accepted: 07/26/2022] [Indexed: 12/19/2022]
Abstract
Multidimensional analyses have demonstrated the presence of a unique tumor microenvironment (TME) in liver cancer. Tumor-associated macrophages (TAMs) are among the most abundant immune cells infiltrating the TME and are present at all stages of liver cancer progression, and targeting TAMs has become one of the most favored immunotherapy strategies. In addition, macrophages and liver cancer cells have distinct origins. At the early stage of liver cancer, macrophages can provide a niche for the maintenance of liver cancer stem cells. In contrast, cancer stem cells (CSCs) or poorly differentiated tumor cells are key factors modulating macrophage activation. In the present review, we first propose the origin connection between precursor macrophages and liver cancer cells. Macrophages undergo dynamic phenotypic transition during carcinogenesis. In this course of such transition, it is critical to determine the appropriate timing for therapy and block specific markers to suppress pro-tumoral TAMs. The present review provides a more detailed discussion of transition trends of such surface markers than previous reviews. Complex crosstalk occurs between TAMs and liver cancer cells. TAMs play indispensable roles in tumor progression, angiogenesis, and autophagy due to their heterogeneity and robust plasticity. In addition, macrophages in the TME interact with other immune cells by directing cell-to-cell contact or secreting various effector molecules. Similarly, tumor cells combined with other immune cells can drive macrophage recruitment and polarization. Despite the latest achievements and the advancements in treatment strategies following TAMs studies, comprehensive discussions on the communication between macrophages and cancer cells or immune cells in liver cancer are currently lacking. In this review, we discussed the interactions between TAMs and liver cancer cells (from cell origin to maturation), the latest therapeutic strategies (including chimeric antigen receptor macrophages), and critical clinical trials for hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (iCCA) to provide a rationale for further clinical investigation of TAMs as a potential target for treating patients with liver cancer.
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Affiliation(s)
- Kun Cheng
- Hepatic Surgery Centre, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P. R. China
| | - Ning Cai
- Hepatic Surgery Centre, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P. R. China
| | - Jinghan Zhu
- Hepatic Surgery Centre, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P. R. China
| | - Xing Yang
- Hepatic Surgery Centre, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P. R. China
| | - Huifang Liang
- Hepatic Surgery Centre, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P. R. China
| | - Wanguang Zhang
- Hepatic Surgery Centre, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P. R. China
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13
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Zhang T, Jia Y, Yu Y, Zhang B, Xu F, Guo H. Targeting the tumor biophysical microenvironment to reduce resistance to immunotherapy. Adv Drug Deliv Rev 2022; 186:114319. [PMID: 35545136 DOI: 10.1016/j.addr.2022.114319] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 04/28/2022] [Accepted: 04/30/2022] [Indexed: 02/06/2023]
Abstract
Immunotherapy based on immune checkpoint inhibitors has evolved into a new pillar of cancer treatment in clinics, but dealing with treatment resistance (either primary or acquired) is a major challenge. The tumor microenvironment (TME) has a substantial impact on the pathological behaviors and treatment response of many cancers. The biophysical clues in TME have recently been considered as important characteristics of cancer. Furthermore, there is mounting evidence that biophysical cues in TME play important roles in each step of the cascade of cancer immunotherapy that synergistically contribute to immunotherapy resistance. In this review, we summarize five main biophysical cues in TME that affect resistance to immunotherapy: extracellular matrix (ECM) structure, ECM stiffness, tumor interstitial fluid pressure (IFP), solid stress, and vascular shear stress. First, the biophysical factors involved in anti-tumor immunity and therapeutic antibody delivery processes are reviewed. Then, the causes of these five biophysical cues and how they contribute to immunotherapy resistance are discussed. Finally, the latest treatment strategies that aim to improve immunotherapy efficacy by targeting these biophysical cues are shared. This review highlights the biophysical cues that lead to immunotherapy resistance, also supplements their importance in related technologies for studying TME biophysical cues in vitro and therapeutic strategies targeting biophysical cues to improve the effects of immunotherapy.
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Affiliation(s)
- Tian Zhang
- Department of Medical Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an Jiaotong University, Xi'an 710061, PR China; Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, PR China
| | - Yuanbo Jia
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, PR China; MOE Key Laboratory of Biomedical Information Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, PR China
| | - Yang Yu
- Department of Medical Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an Jiaotong University, Xi'an 710061, PR China; Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, PR China
| | - Baojun Zhang
- Department of Pathogenic Microbiology and Immunology, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an 710049, PR China
| | - Feng Xu
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, PR China; MOE Key Laboratory of Biomedical Information Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, PR China.
| | - Hui Guo
- Department of Medical Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an Jiaotong University, Xi'an 710061, PR China; Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, PR China.
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14
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Lin H, Wang Y, Zhou J, Yang Y, Xu X, Ma D, Chen Y, Yang C, Sack I, Guo J, Li R, Yan F. Tomoelastography based on multifrequency MR elastography predicts liver function reserve in patients with hepatocellular carcinoma: a prospective study. Insights Imaging 2022; 13:95. [PMID: 35657534 PMCID: PMC9166923 DOI: 10.1186/s13244-022-01232-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 04/26/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Estimating liver function reserve is essential for preoperative surgical planning and predicting post-hepatectomy complications in patients with hepatocellular carcinoma (HCC). We investigated hepatic viscoelasticity quantified by tomoelastography, a multifrequency magnetic resonance elastography technique, to predict liver function reserve. METHODS One hundred fifty-six patients with suspected HCC (mean age, 60 ± 1 years; 131 men) underwent preoperative tomoelastography examination between July 2020 and August 2021. Sixty-nine were included in the final analysis, and their 15-min indocyanine green retention rates (ICG-R15s) were obtained to determine liver function reserve. Tomoelastography quantified the shear wave speed (c, m/s), which represents stiffness, and loss angle (φ, rad), which represents fluidity. Both were correlated with the ICG-R15. A prediction model based on logistic regression for major hepatectomy tolerance (ICG-R15 ≥ 14%) was established. RESULTS Patients were assigned to either the ICG-R15 < 14% (n = 50) or ICG-R15 ≥ 14% (n = 19) group. Liver c (r = 0.617) and φ (r = 0.517) were positively correlated with the ICG-R15 (both p < 0.001). At fibrosis stages F1-2, φ was positively correlated with the ICG-R15 (r = 0.528; p = 0.017), but c was not (p = 0.104). At stages F3-4, c (r = 0.642; p < 0.001) and φ (r = 0.377; p = 0.008) were both positively correlated with the ICG-R15. The optimal cutoffs of c and φ for predicting ICG-R15 ≥ 14% were 2.04 m/s and 0.79 rad, respectively. The area under the receiver operating characteristic curve was higher for c (0.892) than for φ (0.779; p = 0.045). CONCLUSIONS Liver stiffness and fluidity, quantified by tomoelastography, were correlated with liver function and may be used clinically to noninvasively assess liver function reserve and stratify treatments.
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Affiliation(s)
- Huimin Lin
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai, 200025, China
| | - Yihuan Wang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai, 200025, China
| | - Jiahao Zhou
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai, 200025, China
| | - Yuchen Yang
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinxin Xu
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai, 200025, China
| | - Di Ma
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongjun Chen
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chunxue Yang
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ingolf Sack
- Department of Radiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Jing Guo
- Department of Radiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Ruokun Li
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai, 200025, China.
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai, 200025, China.
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15
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Sneider A, Kiemen A, Kim JH, Wu PH, Habibi M, White M, Phillip JM, Gu L, Wirtz D. Deep learning identification of stiffness markers in breast cancer. Biomaterials 2022; 285:121540. [PMID: 35537336 PMCID: PMC9873266 DOI: 10.1016/j.biomaterials.2022.121540] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 04/12/2022] [Accepted: 04/21/2022] [Indexed: 02/07/2023]
Abstract
While essential to our understanding of solid tumor progression, the study of cell and tissue mechanics has yet to find traction in the clinic. Determining tissue stiffness, a mechanical property known to promote a malignant phenotype in vitro and in vivo, is not part of the standard algorithm for the diagnosis and treatment of breast cancer. Instead, clinicians routinely use mammograms to identify malignant lesions and radiographically dense breast tissue is associated with an increased risk of developing cancer. Whether breast density is related to tumor tissue stiffness, and what cellular and non-cellular components of the tumor contribute the most to its stiffness are not well understood. Through training of a deep learning network and mechanical measurements of fresh patient tissue, we create a bridge in understanding between clinical and mechanical markers. The automatic identification of cellular and extracellular features from hematoxylin and eosin (H&E)-stained slides reveals that global and local breast tissue stiffness best correlate with the percentage of straight collagen. Importantly, the percentage of dense breast tissue does not directly correlate with tissue stiffness or straight collagen content.
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Affiliation(s)
- Alexandra Sneider
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, Institute for NanoBioTechnology, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA
| | - Ashley Kiemen
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, Institute for NanoBioTechnology, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA
| | - Joo Ho Kim
- Department of Materials Science and Engineering, Institute for NanoBioTechnology, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA
| | - Pei-Hsun Wu
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, Institute for NanoBioTechnology, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA
| | - Mehran Habibi
- Johns Hopkins Breast Center, Johns Hopkins Bayview Medical Center, 4940 Eastern Ave, Baltimore, MD, 21224, USA
| | - Marissa White
- Department of Pathology, Johns Hopkins School of Medicine, 401 N Broadway, Baltimore, MD, 21231, USA
| | - Jude M. Phillip
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, Institute for NanoBioTechnology, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA,Department of Biomedical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA
| | - Luo Gu
- Department of Materials Science and Engineering, Institute for NanoBioTechnology, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA
| | - Denis Wirtz
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, Institute for NanoBioTechnology, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA,Department of Pathology, Johns Hopkins School of Medicine, 401 N Broadway, Baltimore, MD, 21231, USA,Department of Oncology, Johns Hopkins School of Medicine, 1800 Orleans St, Baltimore, MD, 21205, USA,Corresponding author. Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, and Institute for NanoBioTechnology, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA., (D. Wirtz)
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16
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Hu X, Zhou J, Li Y, Wang Y, Guo J, Sack I, Chen W, Yan F, Li R, Wang C. Added Value of Viscoelasticity for MRI-Based Prediction of Ki-67 Expression of Hepatocellular Carcinoma Using a Deep Learning Combined Radiomics (DLCR) Model. Cancers (Basel) 2022; 14:2575. [PMID: 35681558 PMCID: PMC9179448 DOI: 10.3390/cancers14112575] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 05/14/2022] [Accepted: 05/17/2022] [Indexed: 12/11/2022] Open
Abstract
This study aimed to explore the added value of viscoelasticity measured by magnetic resonance elastography (MRE) in the prediction of Ki-67 expression in hepatocellular carcinoma (HCC) using a deep learning combined radiomics (DLCR) model. This retrospective study included 108 histopathology-proven HCC patients (93 males; age, 59.6 ± 11.0 years) who underwent preoperative MRI and MR elastography. They were divided into training (n = 87; 61.0 ± 9.8 years) and testing (n = 21; 60.6 ± 10.1 years) cohorts. An independent validation cohort including 43 patients (60.1 ± 11.3 years) was included for testing. A DLCR model was proposed to predict the expression of Ki-67 with cMRI, including T2W, DW, and dynamic contrast enhancement (DCE) images as inputs. The images of the shear wave speed (c-map) and phase angle (φ-map) derived from MRE were also fed into the DLCR model. The Ki-67 expression was classified into low and high groups with a threshold of 20%. Both c and φ values were ranked within the top six features for Ki-67 prediction with random forest selection, which revealed the value of MRE-based viscosity for the assessment of tumor proliferation status in HCC. When comparing the six CNN models, Xception showed the best performance for classifying the Ki-67 expression, with an AUC of 0.80 ± 0.03 (CI: 0.79-0.81) and accuracy of 0.77 ± 0.04 (CI: 0.76-0.78) when cMRI were fed into the model. The model with all modalities (MRE, AFP, and cMRI) as inputs achieved the highest AUC of 0.90 ± 0.03 (CI: 0.89-0.91) in the validation cohort. The same finding was observed in the independent testing cohort, with an AUC of 0.83 ± 0.03 (CI: 0.82-0.84). The shear wave speed and phase angle improved the performance of the DLCR model significantly for Ki-67 prediction, suggesting that MRE-based c and φ-maps can serve as important parameters to assess the tumor proliferation status in HCC.
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Affiliation(s)
- Xumei Hu
- Human Phenome Institute, Fudan University, Shanghai 201203, China;
| | - Jiahao Zhou
- Department of Radiology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China; (J.Z.); (Y.L.); (Y.W.); (F.Y.)
| | - Yan Li
- Department of Radiology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China; (J.Z.); (Y.L.); (Y.W.); (F.Y.)
| | - Yikun Wang
- Department of Radiology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China; (J.Z.); (Y.L.); (Y.W.); (F.Y.)
| | - Jing Guo
- Department of Radiology, Charité–Universitätsmedizin Berlin, 10117 Berlin, Germany; (J.G.); (I.S.)
| | - Ingolf Sack
- Department of Radiology, Charité–Universitätsmedizin Berlin, 10117 Berlin, Germany; (J.G.); (I.S.)
| | - Weibo Chen
- Philips Healthcare, Shanghai 200070, China;
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China; (J.Z.); (Y.L.); (Y.W.); (F.Y.)
| | - Ruokun Li
- Department of Radiology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China; (J.Z.); (Y.L.); (Y.W.); (F.Y.)
| | - Chengyan Wang
- Human Phenome Institute, Fudan University, Shanghai 201203, China;
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17
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Haas Y, Dosch MP, Vogl TJ. Response comparison of PLC and SLC with magnetic resonance elastography after TACE. Sci Rep 2022; 12:8317. [PMID: 35585124 PMCID: PMC9117290 DOI: 10.1038/s41598-022-12478-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 05/10/2022] [Indexed: 12/04/2022] Open
Abstract
The aim of this study was to detect a response difference in primary (PLC) and secondary liver tumors (SLC) with magnetic resonance elastography (MRE) after TACE therapy. Thirty-one patients (25/31 male; mean age 69.6 years [range: 39-85 years]) with repeated TACE therapy of HCC were compared with twenty-seven patients (27/27 female; mean age 61.2 years [range 39-81 years]) with repeated TACE therapy of metastatic liver disease due to breast cancer. Both groups underwent either one (n = 31) or two (n = 27) repetitive magnetic resonance imaging (MRI) and MRE exams in 4- to 6-week intervals using a 1.5-T-scanner. MRE-based liver stiffness and size measurements were evaluated in tumorous lesions and in healthy liver lobe controls. PLC showed a significantly larger tumor size compared to SLC (26.4 cm2 vs. 11 cm2, p = 0.007) and a higher degree of stiffness (5.8 kPa vs. 5.1 kPa, p = 0.04). Both tumors decreased in size during the cycles (PLC: p = 0.8 and SLC: p < 0.0001) and lesions showed an increase in stiffness (PLC: p = 0.002 and SLC: p = 0.006). MRE demonstrates that PLC and SLC have similar responses to TACE therapy. PLC had a greater increase in stiffness and SLC got smaller. An increasing stiffness and decrease in size could show a good response.
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Affiliation(s)
- Y Haas
- University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
| | - M P Dosch
- University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - T J Vogl
- University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
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18
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Reiter R, Majumdar S, Kearney S, Kajdacsy-Balla A, Macias V, Crivellaro S, Abern M, Royston TJ, Klatt D. Investigating the heterogeneity of viscoelastic properties in prostate cancer using MR elastography at 9.4T in fresh prostatectomy specimens. Magn Reson Imaging 2022; 87:113-118. [PMID: 35007693 DOI: 10.1016/j.mri.2022.01.005] [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: 10/21/2021] [Revised: 12/29/2021] [Accepted: 01/04/2022] [Indexed: 11/20/2022]
Abstract
PURPOSE To quantify the heterogeneity of viscoelastic tissue properties in prostatectomy specimens from men with prostate cancer (PC) using MR elastography (MRE) with histopathology as reference. METHODS Twelve fresh prostatectomy specimens were examined in a preclinical 9.4T MRI scanner. Maps of the complex shear modulus (|G*| in kPa) with its real and imaginary part (G' and G" in kPa) were calculated at 500 Hz. Prostates were divided into 12 segments for segment-wise measurement of viscoelastic properties and histopathology. Coefficients of variation (CVs in %) were calculated for quantification of heterogeneity. RESULTS Group-averaged values of cancerous vs. benign segments were significantly increased: |G*| of 12.13 kPa vs. 6.14 kPa, G' of 10.84 kPa vs. 5.44 kPa and G" of 5.45 kPa vs. 2.92 kPa, all p < 0.001. In contrast, CVs were significantly increased for benign segments: 23.59% vs. 26.32% (p = 0.014) for |G*|, 27.05% vs. 37.84% (p < 0.003) for G', and 36.51% vs. 50.37% (p = 0.008) for G". DISCUSSION PC is characterized by a stiff yet homogeneous biomechanical signature, which may be due to the unique nondestructive growth pattern of PC with intervening stroma, providing a rigid scaffold in the affected area. In turn, increased heterogeneity in benign prostate segments may be attributable to the presence of different prostate zones with involvement by specific nonmalignant pathology.
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Affiliation(s)
- Rolf Reiter
- Department of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Hindenburgdamm 30, 12203 Berlin, Germany; Berlin Institute of Health (BIH), Anna-Louisa-Karsch-Str. 2, 10178 Berlin, Germany; Richard and Loan Hill Department of Biomedical Engineering, University of Illinois at Chicago, 830 South Wood Street, Chicago, IL 60612, United States.
| | - Shreyan Majumdar
- Richard and Loan Hill Department of Biomedical Engineering, University of Illinois at Chicago, 830 South Wood Street, Chicago, IL 60612, United States.
| | - Steven Kearney
- Richard and Loan Hill Department of Biomedical Engineering, University of Illinois at Chicago, 830 South Wood Street, Chicago, IL 60612, United States
| | - André Kajdacsy-Balla
- Department of Pathology, University of Illinois at Chicago, 830 South Wood Street, Chicago, IL 60612, United States.
| | - Virgilia Macias
- Department of Pathology, University of Illinois at Chicago, 830 South Wood Street, Chicago, IL 60612, United States.
| | - Simone Crivellaro
- Department of Urology, University of Illinois at Chicago, 830 South Wood Street, Chicago, IL 60612, United States.
| | - Michael Abern
- Department of Urology, University of Illinois at Chicago, 830 South Wood Street, Chicago, IL 60612, United States.
| | - Thomas J Royston
- Richard and Loan Hill Department of Biomedical Engineering, University of Illinois at Chicago, 830 South Wood Street, Chicago, IL 60612, United States.
| | - Dieter Klatt
- Richard and Loan Hill Department of Biomedical Engineering, University of Illinois at Chicago, 830 South Wood Street, Chicago, IL 60612, United States.
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19
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Elsholtz FHJ, Reiter R, Marticorena Garcia SR, Braun J, Sack I, Hamm B, Schaafs LA. Multifrequency magnetic resonance elastography-based tomoelastography of the parotid glands-feasibility and reference values. Dentomaxillofac Radiol 2022; 51:20210337. [PMID: 34558305 PMCID: PMC8693321 DOI: 10.1259/dmfr.20210337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVES Accurate radiological differentiation of parotid tumors remains challenging despite recent technical advances in quantitative medical imaging. Multifrequency magnetic resonance elastography (MRE) could provide additional information on viscoelastic properties of normal and abnormal biological tissues. This study investigates the feasibility of MRE of the parotid glands in healthy participants and provides first reference values. METHODS 20 healthy participants underwent multifrequency MRE of both parotid glands at 3 Tesla. Shear waves at frequencies of 25, 30, 40, and 50 Hz were introduced into the participants' heads through the occiput using pressurized-air actuators. Shear wave speed (SWS) and loss angle of the shear modulus (φ) were reconstructed by tomoelastography post-processing as surrogate parameters for tissue stiffness and viscosity or fluidity. 10 participants underwent repeated MRE to determine test-retest reliability based on intraclass correlation coefficients. RESULTS All MRE datasets acquired could be included in the analysis. Mean SWS was 0.97 ± 0.13 m/s, and mean φ was 0.59 ± 0.05 rad, each for both sides combined and without notable lateral difference (p = 0.88/0.87). Test-retest reliability was good for SWS (ICC = 0.84 for both sides/ICC = 0.77 for the right side/ICC = 0.79 for the left side) and good to excellent for φ(ICC = 0.94/0.86/0.90). CONCLUSIONS Multifrequency MRE of the parotid glands is feasible and reliable. This technique, therefore, is a promising method for investigating the viscoelastic properties of salivary gland tumors in future studies.
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Affiliation(s)
- Fabian Henry Jürgen Elsholtz
- Department of Radiology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany
| | | | - Stephan Rodrigo Marticorena Garcia
- Department of Radiology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Charité Mitte, Berlin, Germany
| | - Jürgen Braun
- Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Informatics, Campus Charité Mitte, Berlin, Germany
| | - Ingolf Sack
- Department of Radiology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Charité Mitte, Berlin, Germany
| | - Bernd Hamm
- Department of Radiology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - Lars-Arne Schaafs
- Department of Radiology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany
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20
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Takeda T, Fujiwara H, Suga M. Development of three-dimensional integral-type reconstruction formula for magnetic resonance elastography. Int J Comput Assist Radiol Surg 2021; 16:1947-1956. [PMID: 34694572 DOI: 10.1007/s11548-021-02517-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Accepted: 09/30/2021] [Indexed: 12/16/2022]
Abstract
PURPOSE The viscoelasticity (storage modulus and loss modulus) of living tissues is known to be related to diseases. Magnetic resonance elastography (MRE) is a quantitative method for non-invasive measuring viscoelasticity. The viscoelasticity is calculated from the elastic wave images using an inversion algorithm. The estimation accuracy of the inversion algorithm is degraded by background noise. This study aims to propose novel inversion algorithms that are applicable for noisy elastic wave images. METHODS The proposed algorithms are based on the Voigt-type viscoelastic equation. The algorithms are designed to improve the noise robustness by avoiding direct differentiation of measurement data by virtue of Green's formula. Similarly, stabilization is introduced to the curl-operator which works to eliminate the compression waves in measurement data. To clarify the characteristics of the algorithms, the proposed algorithms were compared with the conventional algorithms using isotropic and anisotropic voxel numerical simulations and phantom experimental data. RESULTS From the results of the numerical simulations, normalized errors of stiffness of proposed algorithms were 3% or less. The proposed algorithms mostly showed better results than the conventional algorithms despite noisy elastic wave images. From the gel phantom experiment, we confirmed the same tendency as the characteristics of the algorithms observed in the numerical simulation results. CONCLUSION We have developed a novel inversion algorithm and evaluated it quantitatively. The results confirm that the proposed algorithms are highly quantitative and noise-robust methods for estimating storage and loss modulus regardless of noise, voxel anisotropy, and propagation direction. Therefore, the proposed algorithms will appropriate to various three-dimensional MRE systems.
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Affiliation(s)
- Tasuku Takeda
- Graduate School of Science and Engineering, Chiba University, 1-33 Yayoicho, Inage, Chiba, Chiba, 263-8522, Japan.
| | | | - Mikio Suga
- Graduate School of Science and Engineering, Chiba University, 1-33 Yayoicho, Inage, Chiba, Chiba, 263-8522, Japan.,Center for Frontier Medical Engineering, Chiba University, Chiba, Japan
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21
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Liu W, Rong D, Zhu J, Xiao Y, Zhang L, Deng Y, Chen J, Yin M, Venkatesh SK, Ehman RL, Wang J. Diagnostic accuracy of 3D magnetic resonance elastography for assessing histologic grade of hepatocellular carcinoma: comparison of three methods for positioning region of interest. Abdom Radiol (NY) 2021; 46:4601-4609. [PMID: 34085091 DOI: 10.1007/s00261-021-03150-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 05/23/2021] [Accepted: 05/24/2021] [Indexed: 12/11/2022]
Abstract
PURPOSE To assess the influence of region of interest (ROI) placement on the predictive value of 3D MRE in differentiating the histologic grade of HCC. METHODS 85 patients with pathologically confirmed HCCs were analyzed using 3D MRE imaging, two radiologists measured the tumor stiffness with three different ROI positioning methods. Intraclass correlation coefficient (ICC) was expressed in terms of inter- and intra-observer agreements. Kruskal-Wallis rank test or one-way ANOVA was used to compare the difference in MRE stiffness across the three-ROI positioning methods. Receiver operating characteristic curve analysis (ROC) was performed, and the area under curve (AUC) was measured to evaluate the diagnostic performance. RESULTS There were 64 (75%) well-or-moderately differentiated HCCs and 21(25%) poorly differentiated HCCs included finally. Almost excellent inter- and intra-observer agreements (all ICC > 0.82) were observed for all three-ROI methods, the volumetric method has the highest values (inter-observer ICC 0.967, intra-observer ICC 0.919, 0.926, respectively). The mean stiffnesses of poorly differentiated HCC obtained by two readers were significantly higher than well-or-moderately differentiated HCC with volumetric method (7.07 ± 1.57 Kpa, 5.00 ± 1.49 Kpa, and 6.85 ± 1.49 Kpa, 4.94 ± 1.48 Kpa, respectively) and three-ROI method (6.14 ± 1.71 Kpa, 4.91 ± 1.56 Kpa and 5.94 ± 1.61 Kpa, 4.84 ± 1.54 Kpa, respectively) but not on single-ROI method (p > 0.005), for the diagnostic performance, the highest area under the curve (AUC) with a value of 0.837, 0.812 by using the volumetric method, followed by the three-ROI method (0.713, 0.754) and single-ROI method. CONCLUSION Different ROI positioning methods significantly affect HCC tumor stiffness measurements. The whole tumor volumetric analysis is superior to ROI-based methods for predicting the grade of HCC.
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Affiliation(s)
- Weimin Liu
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Tianhe Road, No 600, Guangzhou, Guangdong, 510630, People's Republic Of China
| | - Dailin Rong
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Tianhe Road, No 600, Guangzhou, Guangdong, 510630, People's Republic Of China
| | - Jie Zhu
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Tianhe Road, No 600, Guangzhou, Guangdong, 510630, People's Republic Of China
| | - Yuanqiang Xiao
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Tianhe Road, No 600, Guangzhou, Guangdong, 510630, People's Republic Of China
| | - Linqi Zhang
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Tianhe Road, No 600, Guangzhou, Guangdong, 510630, People's Republic Of China
| | - Ying Deng
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Tianhe Road, No 600, Guangzhou, Guangdong, 510630, People's Republic Of China
| | - Jun Chen
- Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Meng Yin
- Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Sudhakar K Venkatesh
- Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Richard L Ehman
- Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Jin Wang
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Tianhe Road, No 600, Guangzhou, Guangdong, 510630, People's Republic Of China.
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Practical and clinical applications of pancreatic magnetic resonance elastography: a systematic review. Abdom Radiol (NY) 2021; 46:4744-4764. [PMID: 34076721 DOI: 10.1007/s00261-021-03143-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 05/20/2021] [Accepted: 05/22/2021] [Indexed: 12/13/2022]
Abstract
Magnetic resonance elastography (MRE) is a non-invasive technique suitable for assessing mechanical properties of tissues, i.e., stiffness. MRE of the pancreas is relatively new, but recently an increasing number of studies have successfully assessed pancreas diseases with MRE aiming to differentiate healthy from pathological pancreatic tissue with or without fibrosis. This review will systematically describe the practical and clinical applications of pancreatic MRE. We conducted a systematic literature search with a pre-specified search strategy using PubMed and Embase according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. English peer-reviewed articles applying MRE of the pancreas were included. Two independent reviewers assessed the studies. The literature search yielded 14 studies. The pancreatic stiffness for healthy volunteers ranged from 1.11. to 1.21 kPa at a driver frequency of 40 Hz. In benign tumors, the stiffness values were slightly higher or sometimes even lower (range 0.78 to 2.00 kPa), compared to the healthy pancreas parenchyma whereas, in malignant tumors, the stiffness values tended to be higher (1.42 to 6.06 kPa). The pancreatic stiffness was increased in both acute (median: 1.99 kPa) and chronic pancreatitis (> 1.50 kPa). MRE is a promising technique for detecting and quantifying pancreatic stiffness. It is related to fibrosis and seems to be useful in assessing treatment response and clinical follow-up of pancreatic diseases. However, most of the described practical settings were characterized by a lack of uniformity and inconsistency in reporting standards across studies. Harmonization between centers is necessary to achieve more consensus and optimization of pancreatic MRE protocols.
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Ota T, Hori M, Le Bihan D, Fukui H, Onishi H, Nakamoto A, Tsuboyama T, Tatsumi M, Ogawa K, Tomiyama N. Diffusion-Based Virtual MR Elastography of the Liver: Can It Be Extended beyond Liver Fibrosis? J Clin Med 2021; 10:jcm10194553. [PMID: 34640568 PMCID: PMC8509260 DOI: 10.3390/jcm10194553] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Revised: 09/26/2021] [Accepted: 09/27/2021] [Indexed: 12/24/2022] Open
Abstract
Background: Strong correlation has been reported between tissue water diffusivity and tissue elasticity in the liver. The purpose of this study is to explore the capability of diffusion-based virtual MR elastography (VMRE) in the characterization of liver tumors by extending beyond liver fibrosis assessments. Methods: Fifty-four patients (56 liver tumors: hepatocellular carcinoma (HCC), 31; metastases, 25) who underwent MRE, diffusion-weighted imaging (DWI) (b: 0, 800 s/mm2), and VMRE (b: 200, 1500 s/mm2) were enrolled. The MRE shear modulus (µMRE), apparent diffusion coefficient (ADC), and shifted ADC (sADC) were obtained. Virtual stiffness (µdiff) was estimated from the relationship between µMRE and sADC. A linear discriminant analysis combining VMRE and MRE to classify HCC and metastases was performed in a training cohort (thirty-two patients) to estimate a classifier (C), and evaluate its accuracy in a testing cohort (twenty-two patients). Pearson's correlations between µMRE, sADC, and ADC were evaluated. In addition to the discriminant analysis, a receiver operating characteristic (ROC) curve was used to assess the discrimination capability between HCC and metastases. Results: The correlations between µMRE and sADC were significant for liver, HCC, and metastases (r = 0.91, 0.68, 0.71; all p < 0.05). Those between µMRE and ADC were weaker and significant only for metastases (r = 0.17, 0.20, 0.55). µdiff values were not significantly different between HCC and metastases (p = 0.56). Areas under the curves (AUC) to differentiate HCC from metastases were as follows: VMRE, 0.46; MRE alone, 0.89; MRE + VMRE, 0.96. The classifier C also provided better performance than MRE alone, in terms of sensitivity (100 vs. 93.5%, respectively) and specificity (92 vs. 76%, respectively, p = 0.046). Conclusions: The correlation between sADC and µMRE was strong both in the liver and in tumors. However, VMRE alone could not classify HCC and metastases. The combination of MRE and VMRE, however, allowed discriminant performance between HCC and metastases.
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Affiliation(s)
- Takashi Ota
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; (M.H.); (H.F.); (H.O.); (A.N.); (T.T.); (M.T.); (K.O.); (N.T.)
- Correspondence:
| | - Masatoshi Hori
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; (M.H.); (H.F.); (H.O.); (A.N.); (T.T.); (M.T.); (K.O.); (N.T.)
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan
| | - Denis Le Bihan
- NeuroSpin, CEA-Saclay, Paris-Saclay University, 91191 Saclay, France;
- National Institute for Physiological Sciences (NIPS), Okazaki 444-8585, Japan
- Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto 606-8303, Japan
| | - Hideyuki Fukui
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; (M.H.); (H.F.); (H.O.); (A.N.); (T.T.); (M.T.); (K.O.); (N.T.)
| | - Hiromitsu Onishi
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; (M.H.); (H.F.); (H.O.); (A.N.); (T.T.); (M.T.); (K.O.); (N.T.)
| | - Atsushi Nakamoto
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; (M.H.); (H.F.); (H.O.); (A.N.); (T.T.); (M.T.); (K.O.); (N.T.)
| | - Takahiro Tsuboyama
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; (M.H.); (H.F.); (H.O.); (A.N.); (T.T.); (M.T.); (K.O.); (N.T.)
| | - Mitsuaki Tatsumi
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; (M.H.); (H.F.); (H.O.); (A.N.); (T.T.); (M.T.); (K.O.); (N.T.)
| | - Kazuya Ogawa
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; (M.H.); (H.F.); (H.O.); (A.N.); (T.T.); (M.T.); (K.O.); (N.T.)
| | - Noriyuki Tomiyama
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; (M.H.); (H.F.); (H.O.); (A.N.); (T.T.); (M.T.); (K.O.); (N.T.)
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Yang JY, Qiu BS. The Advance of Magnetic Resonance Elastography in Tumor Diagnosis. Front Oncol 2021; 11:722703. [PMID: 34532290 PMCID: PMC8438294 DOI: 10.3389/fonc.2021.722703] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 08/04/2021] [Indexed: 11/13/2022] Open
Abstract
The change in tissue stiffness caused by pathological changes in the tissue's structure could be detected earlier, prior to the manifestation of their clinical features. Magnetic resonance elastography (MRE) is a noninvasive imaging technique that uses low-frequency vibrations to quantitatively measure the elasticity or stiffness of tissues. In tumor tissue, stiffness is directly related to tumor development, invasion, metastasis, and chemoradiotherapy resistance. It also dictates the choice of surgical method. At present, MRE is widely used in assessing different human organs, such as the liver, brain, breast, prostate, uterus, gallbladder, and colon stiffness. In the field of oncology, MRE's value lies in tumor diagnosis (especially early diagnosis), selection of treatment method, and prognosis evaluation. This article summarizes the principle of MRE and its research and application progress in tumor diagnosis and treatment.
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Affiliation(s)
- Jin-Ying Yang
- Laboratory Center for Information Science, University of Science and Technology of China, Hefei, China
| | - Ben-Sheng Qiu
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engneering, University of Science and Technology of China, Hefei, China
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25
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Zhang L, Long X, Nijiati M, Zhang T, Li M, Deng Y, Kuang S, Xiao Y, Zhu J, He B, Chen J, Rossman P, Glaser KJ, Venkatesh SK, Ehman RL, Wang J. Tumor stiffness measured by 3D magnetic resonance elastography can help predict the aggressiveness of endometrial carcinoma: preliminary findings. Cancer Imaging 2021; 21:50. [PMID: 34454623 PMCID: PMC8399726 DOI: 10.1186/s40644-021-00420-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 08/07/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Preoperative evaluation of aggressiveness, including tumor histological subtype, grade of differentiation, Federation International of Gynecology and Obstetrics (FIGO) stage, and depth of myometrial invasion, is significant for treatment planning and prognosis in endometrial carcinoma (EC). The purpose of this study was to evaluate whether three-dimensional (3D) magnetic resonance elastography (MRE) can help predict the aggressiveness of EC. METHODS From August 2015 to January 2019, 82 consecutive patients with suspected uterine tumors underwent pelvic MRI and MRE scans, and 15 patients with confirmed EC after surgical resection were enrolled. According to pathological results (tumor grade, histological subtype, FIGO stage, and myometrial invasiveness), the patients were divided into two subgroups. The independent-samples t-test or Mann-Whitney U test was used to compare the stiffness between different groups. The diagnostic performance was determined with receiver operating characteristic (ROC) curve analysis. RESULTS The stiffness of EC with ≥ 50 % (n = 6) myometrial invasion was significantly higher than that with < 50 % (n = 9) myometrial invasion (3.68 ± 0.59 kPa vs. 2.61 ± 0.72 kPa, p = 0.009). Using a stiffness of 3.04 kPa as a cutoff value resulted in 100 % sensitivity and 77.8 % specificity for differentiating ≥ 50 % myometrial invasion from < 50 % myometrial invasion of EC. The stiffness of poorly differentiated EC (n = 8) was significantly higher than that of well/moderately differentiated EC (n = 7) (3.47 ± 0.64 kPa vs. 2.55 ± 0.82 kPa, p = 0.028). Using a stiffness of 3.04 kPa as a cutoff value resulted in 75 % sensitivity and 71.4 % specificity for differentiating poorly differentiated from well/moderately differentiated EC. The stiffness of FIGO stage II/III EC was significantly higher than that of FIGO stage I EC (3.69 ± 0.65 kPa vs. 2.72 ± 0.76 kPa, p = 0.030). Using a stiffness of 3.04 kPa as a cutoff value resulted in 100 % sensitivity and 70 % specificity for differentiating FIGO stage I EC from FIGO stage II/III EC. The tumor stiffness value in type II (n = 3) EC was higher than that in type I (n = 12) EC (3.67 ± 0.59 kPa vs. 2.88 ± 0.85 kPa), but the difference was not significant (p = 0.136). CONCLUSIONS Tumor stiffness measured by 3D MRE may be potentially useful for predicting tumor grade, FIGO stage and myometrial invasion of EC and can aid in the preoperative risk stratification of EC.
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Affiliation(s)
- Linqi Zhang
- Department of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Xi Long
- Department of Radiology, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital of Sun Yat-sen University, Meizhou, People's Republic of China
| | - Mayidili Nijiati
- Department of Radiology, The First People's Hospital of Kashi Area, Kashi, People's Republic of China
| | - Tianhui Zhang
- Department of Radiology, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital of Sun Yat-sen University, Meizhou, People's Republic of China
| | - Mengsi Li
- Department of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Ying Deng
- Department of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Sichi Kuang
- Department of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Yuanqiang Xiao
- Department of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Jie Zhu
- Department of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Bingjun He
- Department of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Jingbiao Chen
- Department of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Phillip Rossman
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
| | - Kevin J Glaser
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
| | | | - Richard L Ehman
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
| | - Jin Wang
- Department of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
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Cannella R, Sartoris R, Grégory J, Garzelli L, Vilgrain V, Ronot M, Dioguardi Burgio M. Quantitative magnetic resonance imaging for focal liver lesions: bridging the gap between research and clinical practice. Br J Radiol 2021; 94:20210220. [PMID: 33989042 PMCID: PMC8173689 DOI: 10.1259/bjr.20210220] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Magnetic resonance imaging (MRI) is highly important for the detection, characterization, and follow-up of focal liver lesions. Several quantitative MRI-based methods have been proposed in addition to qualitative imaging interpretation to improve the diagnostic work-up and prognostics in patients with focal liver lesions. This includes DWI with apparent diffusion coefficient measurements, intravoxel incoherent motion, perfusion imaging, MR elastography, and radiomics. Multiple research studies have reported promising results with quantitative MRI methods in various clinical settings. Nevertheless, applications in everyday clinical practice are limited. This review describes the basic principles of quantitative MRI-based techniques and discusses the main current applications and limitations for the assessment of focal liver lesions.
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Affiliation(s)
- Roberto Cannella
- Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France.,Section of Radiology - BiND, University Hospital "Paolo Giaccone", Via del Vespro 129, 90127 Palermo, Italy.,Department of Health Promotion Sciences Maternal and Infant Care, Internal Medicine and Medical Specialties, PROMISE, University of Palermo, 90127 Palermo, Italy
| | | | - Jules Grégory
- Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France.,Université de Paris, Paris, France
| | - Lorenzo Garzelli
- Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France.,Université de Paris, Paris, France
| | - Valérie Vilgrain
- Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France.,Université de Paris, Paris, France.,INSERM U1149, CRI, Paris, France
| | - Maxime Ronot
- Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France.,Université de Paris, Paris, France.,INSERM U1149, CRI, Paris, France
| | - Marco Dioguardi Burgio
- Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France.,INSERM U1149, CRI, Paris, France
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Dominguez A, Fino D, Spina JC, Moyano Brandi N, Capó J, Noceti M, Ariza PP, Moura Cunha G. Assessment of SE-MRE-derived shear stiffness at 3.0 Tesla for solid liver tumors characterization. Abdom Radiol (NY) 2021; 46:1904-1911. [PMID: 33098479 DOI: 10.1007/s00261-020-02828-5] [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: 08/21/2020] [Revised: 10/07/2020] [Accepted: 10/10/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVES To evaluate the feasibility and diagnostic value of using a 2D spin-echo MR elastography (SE-MRE) sequence at 3.0 Tesla for solid focal liver lesions (FLL) characterization. METHODS This prospective study included 55 patients with solid FLL (size > 20 mm), who underwent liver SE-MRE at 3 Tesla between 2016 and 2019. Stiffness measurements were performed by two independent readers blinded to the complete MRI exam or patient information. Histological confirmation or typical behavior on the complete MRI exam evaluated in consensus by expert abdominal radiologists was used as reference standard. FLLs were grouped and compared (malignant vs. benign) using the Mann-Whitney and Kruskal-Wallis tests. MRE diagnostic performance was assessed, and stiffness cutoffs were obtained by analysis of ROC curves from accuracy maximization. A linear regression plot was used to evaluate inter-rater agreement for FLLs stiffness measurements. p values < 0.05 were considered statistically significant. RESULTS The final study group comprised 57 FLLs (34 malignant, 23 benign). Stiffness measurements were technically successful in 91.23% of lesions. To both readers, the median stiffness of the lesions categorized as benign was 4.5 ± 1.5 kPa and in the malignant group 6.8 ± 1.7 and 7.5 ± 1.5 kPa depending on the reader. A cutoff of 5.8 kPa distinguished malignant and benign lesions with 88% specificity and 75-85% accuracy depending on the reader. The inter-rater agreement was 0.90 ± 0.04 with a correlation coefficient of 0.94. CONCLUSION 2D-SE-MRE at 3.0 T provides high specificity and PPV to differentiate benign from malignant liver lesions. Trial registration 18FFUA-A02.
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Wymer DT, Patel KP, Burke WF, Bhatia VK. Phase-Contrast MRI: Physics, Techniques, and Clinical Applications. Radiographics 2021; 40:122-140. [PMID: 31917664 DOI: 10.1148/rg.2020190039] [Citation(s) in RCA: 81] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
With phase-contrast imaging, the MRI signal is used to visualize and quantify velocity. This imaging modality relies on phase data, which are intrinsic to all MRI signals. With use of bipolar gradients, degrees of phase shift are encoded and in turn correlated directly with the velocity of protons. The acquisition of diagnostic-quality images requires selection of the correct imaging plane to ensure accurate measurement and selection of the encoding velocity and thus prevent aliasing and achieve the highest signal-to-noise ratio. Multiple applications of phase-contrast imaging are actively used in clinical practice. One of the most common clinical uses is in cardiac valvular flow imaging, at which the data are used to assess the severity of valvular disease and quantify the shunt fraction. In neurologic imaging, phase-contrast imaging can be used to measure the flow of cerebrospinal fluid. This measurement can aid in the diagnosis and direct management of normal pressure hydrocephalus or be used to evaluate the severity of stenosis, such as that in Chiari I malformations. At vascular analysis, phase-contrast imaging can be used to visualize arterial and venous flow, and this application is used most commonly in the brain. Three-dimensional imaging can yield highly detailed flow data in a technique referred to as four-dimensional flow. A more recently identified application is in MR elastography. Shear waves created by using an impulse device can be velocity encoded, and this velocity is directly proportional to the stiffness of the organ, or the shear modulus. This imaging modality is most commonly used in the liver for evaluation of cirrhosis and steatosis, although research on the assessment of other organs is being performed. Phase-contrast imaging is an important tool in the arsenal of MRI examinations and has many applications. Proper use of phase-contrast imaging requires an understanding of the many practical and technical factors and unique physics principles underlying the technique.©RSNA, 2020.
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Affiliation(s)
- David T Wymer
- From the Department of Diagnostic Radiology, Mount Sinai Medical Center, 4300 Alton Rd, Miami Beach, FL 33140
| | - Kunal P Patel
- From the Department of Diagnostic Radiology, Mount Sinai Medical Center, 4300 Alton Rd, Miami Beach, FL 33140
| | - William F Burke
- From the Department of Diagnostic Radiology, Mount Sinai Medical Center, 4300 Alton Rd, Miami Beach, FL 33140
| | - Vinay K Bhatia
- From the Department of Diagnostic Radiology, Mount Sinai Medical Center, 4300 Alton Rd, Miami Beach, FL 33140
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Kennedy P, Lewis S, Bane O, Hectors SJ, Kim E, Schwartz M, Taouli B. Early effect of 90Y radioembolisation on hepatocellular carcinoma and liver parenchyma stiffness measured with MR elastography: initial experience. Eur Radiol 2021; 31:5791-5801. [PMID: 33475773 DOI: 10.1007/s00330-020-07636-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 11/24/2020] [Accepted: 12/16/2020] [Indexed: 12/12/2022]
Abstract
OBJECTIVES To quantify hepatocellular carcinoma (HCC) and liver parenchyma stiffness using MR elastography (MRE) and serum alpha fetoprotein (AFP), before and 6 weeks (6w) after 90Y radioembolisation (RE), and to assess the value of baseline tumour and liver stiffness (TS/LS) and AFP in predicting response at 6w and 6 months (6 m). METHODS Twenty-three patients (M/F 18/5, mean age 68.3 ± 9.3 years) scheduled to undergo RE were recruited into this prospective single-centre study. Patients underwent an MRI exam at baseline and 6w following RE (range 39-47 days) which included MRE using a prototype 2D EPI sequence. TS, peritumoural LS/LS remote from the tumour, tumour size, and AFP were measured at baseline and at 6w. Treatment response was determined using mRECIST at 6w and 6 m. RESULTS MRE was technically successful in 17 tumours which were classified at 6w as complete response (CR, n = 7), partial response (PR, n = 4), and stable disease (SD, n = 6). TS and peritumoural LS were significantly increased following RE (p = 0.016, p = 0.039, respectively), while LS remote from tumour was unchanged (p = 0.245). Baseline TS was significantly lower in patients who achieved CR at 6w (p = 0.014). Baseline TS, peritumoural LS (both AUC = 0.857), and AFP (AUC = 0.798) showed fair/excellent diagnostic performance in predicting CR at 6w, but were not significant predictors of OR or CR at 6 m. CONCLUSION Our initial results suggest that HCC TS and peritumoural LS increase early after RE. Baseline TS, peritumoural LS, and AFP were all significant predictors of CR to RE at 6w. These results should be confirmed in a larger study. KEY POINTS • Magnetic resonance elastography-derived tumour stiffness and peritumoural liver stiffness increase significantly at 6 weeks post radioembolisation whereas liver stiffness remote from the tumour is unchanged. • Baseline tumour stiffness and peritumoural liver stiffness are lower in patients who achieve complete response at 6 weeks post radioembolisation. • Baseline tumour size is significantly correlated with baseline tumour stiffness.
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Affiliation(s)
- Paul Kennedy
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sara Lewis
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY, 10029, USA
| | - Octavia Bane
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stefanie J Hectors
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Edward Kim
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY, 10029, USA
| | - Myron Schwartz
- Recanati/Miller Transplantation Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bachir Taouli
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY, 10029, USA.
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Arora D, Bhunia BK, Janani G, Mandal BB. Bioactive three-dimensional silk composite in vitro tumoroid model for high throughput screening of anticancer drugs. J Colloid Interface Sci 2021; 589:438-452. [PMID: 33485251 DOI: 10.1016/j.jcis.2021.01.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 12/26/2020] [Accepted: 01/04/2021] [Indexed: 01/01/2023]
Abstract
HYPOTHESIS Modeling three-dimensional (3D) in vitro culture systems recapitulating spatiotemporal characteristics of native tumor-mass has shown tremendous potential as a pre-clinical tool for drug screening. However, their applications in clinical settings are still limited due to inappropriate recapitulation of tumor topography, culture instability, and poor durability of niche support. EXPERIMENTS Here, we have fabricated a bio-active silk composite scaffold assimilating tunable silk from Bombyx mori and - arginine-glycine-aspartate (RGD) rich silk from Antheraea assama to provide a better 3D-matrix for breast (MCF 7) and liver (HepG2) tumoroids. Cellular mechanisms underlying physiological adaptations in 3D constructs and subsequent drug responses were compared with conventional monolayer and multicellular spheroid culture. FINDINGS Silk composite matrix assists prolonged growth and high metabolic activity (Cytochrome P450 reductase) in breast and liver 3D-tumoroids. Enhanced stemness expression (Cell surface adhesion receptor; CD44, Aldehyde dehydrogenase 1) and epithelial-mesenchymal-transition markers (E-cadherin, Vimentin) at transcript and protein levels demonstrate that bio-active matrix-assisted 3D environment augmenting metastatic potential in tumoroids. Together, enhanced secretion of Transforming growth factor β (TGFβ), anchorage-independency, and colony-forming potential of cells in the 3D-tumoroids further corroborates the aggressive behavior of cells. Moreover, the multilayered 3D-tumoroids exhibit decreased sensitivity to some known anticancer drugs (Doxorubicin and Paclitaxel). In conclusion, the bio-active silk composite matrix offers an advantage in developing robust and sustainable 3D tumoroids for a high-throughput drug screening platform.
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Affiliation(s)
- Deepika Arora
- Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India
| | - Bibhas K Bhunia
- Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India
| | - G Janani
- Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India
| | - Biman B Mandal
- Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India; Centre for Nanotechnology, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India.
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MR Elastography. Mol Imaging 2021. [DOI: 10.1016/b978-0-12-816386-3.00058-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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32
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Petet TJ, Deal HE, Zhao HS, He AY, Tang C, Lemmon CA. Rheological characterization of poly-dimethyl siloxane formulations with tunable viscoelastic properties. RSC Adv 2021; 11:35910-35917. [PMID: 35492759 PMCID: PMC9043277 DOI: 10.1039/d1ra03548g] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 10/24/2021] [Indexed: 12/04/2022] Open
Abstract
Studies from the past two decades have demonstrated convincingly that cells are able to sense the mechanical properties of their surroundings. Cells make major decisions in response to this mechanosensation, including decisions regarding cell migration, proliferation, survival, and differentiation. The vast majority of these studies have focused on the cellular mechanoresponse to changing substrate stiffness (or elastic modulus) and have been conducted on purely elastic substrates. In contrast, most soft tissues in the human body exhibit viscoelastic behavior; that is, they generate responsive force proportional to both the magnitude and rate of strain. While several recent studies have demonstrated that viscous effects of an underlying substrate affect cellular mechanoresponse, there is not a straightforward experimental method to probe this, particularly for investigators with little background in biomaterial fabrication. In the current work, we demonstrate that polymers comprised of differing polydimethylsiloxane (PDMS) formulations can be generated that allow for control over both the strain-dependent storage modulus and the strain rate-dependent loss modulus. These substrates requires no background in biomaterial fabrication to fabricate, are shelf-stable, and exhibit repeatable mechanical properties. Here we demonstrate that these substrates are biocompatible and exhibit similar protein adsorption characteristics regardless of mechanical properties. Finally, we develop a set of empirical equations that predicts the storage and loss modulus for a given blend of PDMS formulations, allowing users to tailor substrate mechanical properties to their specific needs. We have generated novel formulations of polydimethyl siloxane with varying viscoelastic properties that can be used to study cellular response. We present equations that can be used to predict the storage and loss moduli of these polymers.![]()
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Affiliation(s)
- Thomas J. Petet
- Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA, USA
| | - Halston E. Deal
- Joint Department of Biomedical Engineering, North Carolina State University, University of North Carolina, Chapel Hill, Raleigh, NC, USA
- Comparative Medicine Institute, North Carolina State University, Raleigh, NC, USA
| | - Hanhsen S. Zhao
- Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA, USA
| | - Amanda Y. He
- Department of Biology, Duke University, Durham, NC, USA
| | - Christina Tang
- Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA, USA
- Department of Chemical and Life Science Engineering, Virginia Commonwealth University, Richmond, VA, USA
| | - Christopher A. Lemmon
- Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA, USA
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Plaikner M, Kremser C, Viveiros A, Zoller H, Henninger B. [Magnetic resonance elastography of the liver : Worth knowing for clinical routine]. Radiologe 2020; 60:966-978. [PMID: 32399783 DOI: 10.1007/s00117-020-00690-6] [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] [Indexed: 11/27/2022]
Abstract
BACKGROUND Magnetic resonance elastography (MRE) is a noninvasive, quantitative, MRI-based method to evaluate liver stiffness. Beside biopsy and ultrasound elastography, this imaging method plays in many places a significant role in the detection and additive characterization of chronic liver disease. OBJECTIVES, MATERIALS AND METHODS Based on the literature, a brief review of the underlying method and the commercially available products is given. Furthermore, the practical procedure, the analysis, and the interpretation of clinically relevant questions are illustrated and a comparison with ultrasound elastography is provided. RESULTS This relative "young" MRI method allows extensive evaluation of mechanical properties of the liver and is an important diagnostic tool especially in follow-up examinations. The MRE of the liver is with a maximum technical failure rate of 5.8% a robust technique with high accuracy and an excellent re-test reliability as well as intra- and interobserver reproducibility. There is a high diagnostic certainty within the framework of most important clinical indications, the quantification of fibrosis, and with a very good correlation with the "gold standard" biopsy. CONCLUSION Based on its rising clinical relevance and the broad usage, MRE of the liver is increasingly used in many centers and in routine liver protocols. Therefore, basic knowledge of this method is essential for every radiologist.
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Affiliation(s)
- Michaela Plaikner
- Radiologie, Medizinische Universität Innsbruck, Anichstraße 35, 6020, Innsbruck, Österreich.
| | - Christian Kremser
- Radiologie, Medizinische Universität Innsbruck, Anichstraße 35, 6020, Innsbruck, Österreich
| | - André Viveiros
- Innere Medizin I, Medizinische Universität Innsbruck, Anichstraße 35, 6020, Innsbruck, Österreich
| | - Heinz Zoller
- Innere Medizin I, Medizinische Universität Innsbruck, Anichstraße 35, 6020, Innsbruck, Österreich
| | - Benjamin Henninger
- Radiologie, Medizinische Universität Innsbruck, Anichstraße 35, 6020, Innsbruck, Österreich
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Kim B, Kim SS, Cho SW, Cheong JY, Huh J, Kim JK, Lee JH, Ahn HR, Cho HJ. Liver stiffness in magnetic resonance elastography is prognostic for sorafenib-treated advanced hepatocellular carcinoma. Eur Radiol 2020; 31:2507-2517. [PMID: 33033862 DOI: 10.1007/s00330-020-07357-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 08/25/2020] [Accepted: 09/25/2020] [Indexed: 12/24/2022]
Abstract
OBJECTIVE We investigated whether liver stiffness (LS) quantified using magnetic resonance elastography (MRE) could predict the prognosis of advanced hepatocellular carcinoma (HCC) patients treated with sorafenib. METHODS We selected 50 sorafenib-treated advanced HCC patients who underwent MRE within 3 months before drug administration from a prospectively maintained cohort of chronic liver disease patients, according to the inclusion and exclusion criteria. Univariate and multivariate analyses were performed to evaluate the prognostic role of laboratory data, tumor characteristics, and MRE-assessed LS for overall survival (OS), progression-free survival (PFS), and significant liver injury (grade ≥ 3) after sorafenib administration. RESULTS High MRE-assessed LS either as continuous (per kPa, hazard ratio (HR) 1.54; 95% confidence interval (CI) 1.23-1.92, p < 0.001) or categorical (> 7.5 kPa, HR 4.06, 95% CI 1.40-11.79, p < 0.01) variable was significantly associated with poor OS along with higher serum alpha-fetoprotein (AFP, ≥ 400 ng/mL) and advanced tumor stage (modified Union for International Cancer Control (mUICC) IVb). Higher MRE-assessed LS was also significantly associated with the development of significant liver injury after sorafenib administration (per kPa, HR 1.62, 95% CI 1.21-2.17, p = 0.001; > 7.5 kPa, HR 10.11, 95% CI 2.41-42.46, p = 0.002). PFS analysis identified higher serum AFP (≥ 400 ng/mL) and advanced tumor stage (mUICC IVb) as significant risk factors for early disease progression, whereas LS was not associated with PFS CONCLUSION: Higher MRE-assessed LS is a potential biomarker for predicting poor OS and significant liver injury in advanced HCC patients treated with sorafenib. KEY POINTS • Higher pretreatment LS by MRE (> 7.5 kPa), higher AFP (≥ 400 ng/mL), and advanced tumor stage (mUICC IVb) were associated with poor OS in advanced HCC patients treated with sorafenib. • Higher pretreatment LS by MRE was associated with developing significant (grade ≥ 3) liver injury during sorafenib treatment, which required termination of the therapy. • Patients with high pretreatment LS by MRE should be monitored carefully for potential liver injury during sorafenib treatment.
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Affiliation(s)
- Bohyun Kim
- Department of Radiology, School of Medicine, Ajou University, Suwon, South Korea.,Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Soon Sun Kim
- Department of Gastroenterology, School of Medicine, Ajou University, 164 Worldcup-ro, Yeongtong-Gu, Suwon, 16499, South Korea
| | - Sung Won Cho
- Department of Gastroenterology, School of Medicine, Ajou University, 164 Worldcup-ro, Yeongtong-Gu, Suwon, 16499, South Korea
| | - Jae Youn Cheong
- Department of Gastroenterology, School of Medicine, Ajou University, 164 Worldcup-ro, Yeongtong-Gu, Suwon, 16499, South Korea
| | - Jimi Huh
- Department of Radiology, School of Medicine, Ajou University, Suwon, South Korea
| | - Jai Keun Kim
- Department of Radiology, School of Medicine, Ajou University, Suwon, South Korea
| | - Jei Hee Lee
- Department of Radiology, School of Medicine, Ajou University, Suwon, South Korea
| | - Hye Ri Ahn
- Department of Gastroenterology, School of Medicine, Ajou University, 164 Worldcup-ro, Yeongtong-Gu, Suwon, 16499, South Korea.,Department of Biomedical Sciences, Graduate School of Medicine, Ajou University, Suwon, South Korea
| | - Hyo Jung Cho
- Department of Gastroenterology, School of Medicine, Ajou University, 164 Worldcup-ro, Yeongtong-Gu, Suwon, 16499, South Korea.
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Xing X, Wang Y, Zhang X, Gao X, Li M, Wu S, Zhao Y, Chen J, Gao D, Chen R, Ren Z, Zhang K, Cui J. Matrix stiffness-mediated effects on macrophages polarization and their LOXL2 expression. FEBS J 2020; 288:3465-3477. [PMID: 32964626 DOI: 10.1111/febs.15566] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 08/06/2020] [Accepted: 09/13/2020] [Indexed: 12/12/2022]
Abstract
Previously, we reported that the secreted lysyl oxidase like 2 (LOXL2) from hepatocellular carcinoma (HCC) cells under higher stiffness stimulation contributed to the formation of lung premetastatic niche. To further clarify whether matrix stiffness also alters LOXL2 expression in other cells within tumor microenvironment, we developed a gel-based culture system combined with a model of macrophage polarization to evaluate the effects of matrix stiffness on the polarization of M2 macrophages and their LOXL2 expression. THP-1 cells cultured on 6KPa, 10KPa, and 16KPa stiffness substrates were first incubated with 100nM phorbol 12-myristate 13-acetate (PMA) for 24 hours and subsequently treated with 20nM interleukin-4 (IL-4) and 20nM interleukin-13 (IL-13) for 48 hours. The polarization states of M2 macrophages under different stiffness stimulation were comparatively analyzed, and their LOXL2 expressions as well as the underlying molecular mechanism were further explored. Our results demonstrated that increased matrix stiffness remarkably strengthened M2 macrophage polarization and promoted their LOXL2 expression. Activation of integrin β5-FAK-MEK1/2-ERK1/2 pathway participated in matrix stiffness-mediated HIF-1α upregulation, and HIF-1α upregulation resulted in a significant improvement in LOXL2 expression. Additionally, M2 macrophage polarization state and LOXL2 expression in HCC tissues with COL1High /LOXHigh were consistent with the results in vitro, further confirming the regulation roles of matrix stiffness in macrophage polarization and LOXL2 expression. The findings about LOXL2 upregulation in the polarized macrophages under higher stiffness stimulation will be helpful to better understand the underlying mechanism of matrix stiffness-induced premetastatic niche formation in HCC.
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Affiliation(s)
- Xiaoxia Xing
- Liver Cancer Institute, Zhongshan Hospital, Fudan University & Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Yaohui Wang
- Department of Radiology, Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Xi Zhang
- Liver Cancer Institute, Zhongshan Hospital, Fudan University & Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Xiangyu Gao
- Department of Endocrinology, Huashan Hospital & Institute of Endocrinology and Diabetology, Fudan University, Shanghai, China
| | - Miao Li
- Liver Cancer Institute, Zhongshan Hospital, Fudan University & Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Sifan Wu
- Liver Cancer Institute, Zhongshan Hospital, Fudan University & Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Yan Zhao
- Liver Cancer Institute, Zhongshan Hospital, Fudan University & Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Jie Chen
- Liver Cancer Institute, Zhongshan Hospital, Fudan University & Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Dongmei Gao
- Liver Cancer Institute, Zhongshan Hospital, Fudan University & Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Rongxin Chen
- Liver Cancer Institute, Zhongshan Hospital, Fudan University & Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Zhenggang Ren
- Liver Cancer Institute, Zhongshan Hospital, Fudan University & Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Kezhi Zhang
- Department of Hepatobiliary Surgery, Taizhou People's Hospital, Taizhou, China
| | - Jiefeng Cui
- Liver Cancer Institute, Zhongshan Hospital, Fudan University & Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
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Park SJ, Yoon JH, Lee DH, Lim WH, Lee JM. Tumor Stiffness Measurements on MR Elastography for Single Nodular Hepatocellular Carcinomas Can Predict Tumor Recurrence After Hepatic Resection. J Magn Reson Imaging 2020; 53:587-596. [PMID: 32914909 DOI: 10.1002/jmri.27359] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 08/27/2020] [Accepted: 08/27/2020] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Tumor stiffness (TS), measured by magnetic resonance elastography (MRE), could be associated with tumor mechanical properties and tumor grade. PURPOSE To determine whether TS obtained using MRE is associated with survival in patients with single nodular hepatocellular carcinoma (HCC) after hepatic resection (HR). STUDY TYPE Retrospective. POPULATION In all, 95 patients with pathologically confirmed HCCs. FIELD STRENGTH/SEQUENCE 1.5T/3D spin-echo echo-planar imaging MRE. ASSESSMENT TS values of the whole tumor (TS-WT) and of a solid portion of the tumor (TS-SP) after excluding the necrotic area were measured on stiffness maps. Known imaging prognostic factors of HCC were also analyzed. After surgery, pathologic findings were evaluated from resected pathology specimens. STATISTICAL TESTS Fisher's exact test and the Mann-Whitney U-test were performed to determine the significance of differences according to the tumor grade. Overall survival (OS) / recurrence-free survival (RFS) analyses were performed using Kaplan-Meier analyses and Cox multivariable models. RESULTS The average TS-WT was 2.14 ± 0.74 kPa, and the average TS-SP was 2.51 ± 1.07 kPa. The cumulative incidence of RFS was 73.1%, 63.1%, and 57.3% at 1, 3, and 5 years, respectively. The TS-WT, TS-SP, and tumor size (≥5 cm) were significant prognostic factors for RFS (P < 0.001; P < 0.001; P = 0.017, respectively). The estimated overall 1-, 3-, and 5-year survival rates were 95.7%, 86.9%, and 80.8%, respectively. The alpha-fetoprotein changes, platelets, tumor size (≥5 cm), and vascular invasion in pathology were significant predictive factors for overall survival (all P < 0.05). Tumor necrosis, TS-WT, TS-SP, and vascular invasion in pathology were significantly correlated with poorly differentiated HCC (all P < 0.05). DATA CONCLUSION The TS-WT, TW-SP, and tumor size (≥5 cm) were significant predictive factors of RFS after HR in patients with HCC. Level of Evidence Technical Efficacy Stage 5 J. MAGN. RESON. IMAGING 2021;53:587-596.
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Affiliation(s)
- Sae-Jin Park
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Jeong Hee Yoon
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Dong Ho Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Woo Hyeon Lim
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Jeong Min Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea
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Li J, Venkatesh SK, Yin M. Advances in Magnetic Resonance Elastography of Liver. Magn Reson Imaging Clin N Am 2020; 28:331-340. [PMID: 32624152 DOI: 10.1016/j.mric.2020.03.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
Magnetic resonance elastography (MRE) is the most accurate noninvasive technique in diagnosing fibrosis and cirrhosis in patients with chronic liver disease (CLD). The accuracy of hepatic MRE in distinguishing the severity of disease has been validated in studies of patients with various CLDs. Advanced hepatic MRE is a reliable, comfortable, and inexpensive alternative to liver biopsy for disease diagnosing, progression monitoring, and clinical decision making in patients with CLDs. This article summarizes current knowledge of the technical advances and innovations in hepatic MRE, and the clinical applications in various hepatic diseases.
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Affiliation(s)
- Jiahui Li
- Department of Radiology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA
| | | | - Meng Yin
- Department of Radiology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA.
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In Vivo Quantification of Water Diffusion, Stiffness, and Tissue Fluidity in Benign Prostatic Hyperplasia and Prostate Cancer. Invest Radiol 2020; 55:524-530. [DOI: 10.1097/rli.0000000000000685] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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40
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Cannella R, Minervini MI, Rachakonda V, Bollino G, Furlan A. Liver stiffness measurement in patients with nodular regenerative hyperplasia undergoing magnetic resonance elastography. Abdom Radiol (NY) 2020; 45:373-383. [PMID: 31834457 DOI: 10.1007/s00261-019-02367-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE Nodular regenerative hyperplasia (NRH) may mimic cirrhosis at imaging. We aim to investigate the effect of NRH on liver stiffness measurement (LSM) obtained with magnetic resonance elastography (MRE). METHODS This retrospective, Institutional Review Board-approved study included 37 subjects with NRH (Group 1) and no or minimal fibrosis (F0-F1), a control group (Group 2) made of 30 subjects with non-advanced fibrosis (F0-F2), and a control group (Group 3) made of 30 subjects with advanced fibrosis (F3-F4), all with available MRE. LSM was measured in each subject along with assessment of hepatic morphological features of cirrhosis and signs of portal hypertension. The significance of the difference in mean LSM between Group 1 and 2 and between Group 1 and 3 was evaluated using the Mann-Whitney U test. The difference in distribution of imaging features among groups was assessed using the Pearson χ2 or Fisher exact test. RESULTS The mean ± SD LSM in Group 1 (3.56 ± 1.10 kPa) was significantly higher compared to Group 2 (2.91 ± 0.52 kPa, P = 0.019) and significantly lower compared to Group 3 (7.18 ± 2.08 kPa, P < 0.001). Twelve (32%) patients with NRH had LSM ≥ 4.11 kPa, and 6 (16%) patients had LSM ≥ 4.71 kPa. Surface nodularity (P = 0.032) and caudate lobe hypertrophy (P = 0.004) were more commonly visualized in Group 1 than in Group 2. At least one feature of portal hypertension was observed in 16 (43%) NRH subjects. CONCLUSION NRH may increase the LSM obtained with MRE and may represent a confounding factor when using liver stiffness for the non-invasive diagnosis of fibrosis.
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Affiliation(s)
- Roberto Cannella
- Abdominal Imaging Division, Department of Radiology, University of Pittsburgh, 200 Lothrop Street, Pittsburgh, PA, 15213, USA
- Section of Radiology - BiND, University Hospital "Paolo Giaccone", Via del Vespro 129, 90127, Palermo, Italy
| | - Marta I Minervini
- Division of Transplantation Pathology UPMC Montefiore, Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Vikrant Rachakonda
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Gideon Bollino
- Abdominal Imaging Division, Department of Radiology, University of Pittsburgh, 200 Lothrop Street, Pittsburgh, PA, 15213, USA
| | - Alessandro Furlan
- Abdominal Imaging Division, Department of Radiology, University of Pittsburgh, 200 Lothrop Street, Pittsburgh, PA, 15213, USA.
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Qayyum A, Hwang KP, Stafford J, Verma A, Maru DM, Sandesh S, Sun J, Pestana RC, Avritscher R, Hassan MM, Amin H, Rashid A, Wistuba II, Ehman RL, Ma J, Kaseb AO. Immunotherapy response evaluation with magnetic resonance elastography (MRE) in advanced HCC. J Immunother Cancer 2019; 7:329. [PMID: 31779702 PMCID: PMC6883599 DOI: 10.1186/s40425-019-0766-y] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Accepted: 10/02/2019] [Indexed: 02/16/2023] Open
Abstract
Background Currently, there are no imaging predictors of immunotherapy outcome in hepatocellular carcinoma (HCC). The study aim was to determine if stiffness changes measured by magnetic resonance elastography (MRE) can be a predictor of immunotherapy response in patients with advanced HCC. Materials and methods This was a prospective study of 15 patients with biopsy proven-advanced HCC treated with Pembrolizumab. All patients had liver MRE and liver biopsy at baseline and at 6 weeks of therapy. Change in HCC stiffness on MRE was compared with overall survival (OS), time to disease progression (TTP), and number of intratumoral CD3+ T lymphocytes. Analysis was performed using descriptive statistics and Spearman correlation (R); p-value < 0.05 was considered statistically significant. Results Nine patients were evaluable. Median age was 71 years (range, 54–78). Etiology of liver disease was HCV (n = 4), HBV (n = 1) and NASH (n = 4). Median OS and TTP were 44 weeks and 13 weeks, respectively. Average baseline HCC stiffness and change in HCC stiffness were 5.0 kPa and 0.12 kPa, respectively. In contrast, average non-tumor liver stiffness was 3.2 kPa, and did not significantly change at 6 weeks (p = 0.42). Average size of measured tumor and change in size were 4 cm and − 0.32 cm, respectively. Change in HCC stiffness at 6 weeks correlated significantly with OS (R = 0.81), and TTP (R = 0.88,p < 0.01). Abundance of intratumoral T lymphocytes on tumor biopsy correlated significantly with HCC stiffness (R = 0.79,p = 0.007). Conclusion Our pilot MRE data suggests early change in tumor stiffness may be an indicator of immunotherapy response in patients with advanced HCC.
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Affiliation(s)
- Aliya Qayyum
- Department of Abdominal Imaging, UT MD Anderson Cancer Center, 1400 Pressler Street, Houston, Texas, USA.
| | - Ken-Pin Hwang
- Department of Imaging Physics, UT MD Anderson Cancer Center, Houston, Texas, USA
| | - Jason Stafford
- Department of Imaging Physics, UT MD Anderson Cancer Center, Houston, Texas, USA
| | - Anuj Verma
- Department of Translational Molecular Pathology, UT MD Anderson Cancer Center, Houston, Texas, USA
| | - Dipen M Maru
- Department of Pathology, UT MD Anderson Cancer Center, Houston, Texas, USA
| | - Subramanya Sandesh
- Department of Translational Molecular Pathology, UT MD Anderson Cancer Center, Houston, Texas, USA
| | - Jia Sun
- Department of Biostatstistics, UT MD Anderson Cancer Center, Houston, Texas, USA
| | | | - Rony Avritscher
- Department of Interventional Radiology, UT MD Anderson Cancer Center, Houston, Texas, USA
| | - Manal M Hassan
- Department of Epidemiology, UT MD Anderson Cancer Center, Houston, Texas, USA
| | - Hesham Amin
- Department of Hemopathology, UT MD Anderson Cancer Center, Houston, Texas, USA
| | - Asif Rashid
- Department of Pathology, UT MD Anderson Cancer Center, Houston, Texas, USA
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, UT MD Anderson Cancer Center, Houston, Texas, USA
| | - Richard L Ehman
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Jingfei Ma
- Department of Imaging Physics, UT MD Anderson Cancer Center, Houston, Texas, USA
| | - Ahmed O Kaseb
- Department of GI Medical Oncology, UT MD Anderson Cancer Center, Houston, USA.
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Bunevicius A, Schregel K, Sinkus R, Golby A, Patz S. REVIEW: MR elastography of brain tumors. Neuroimage Clin 2019; 25:102109. [PMID: 31809993 PMCID: PMC6909210 DOI: 10.1016/j.nicl.2019.102109] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 11/19/2019] [Accepted: 11/22/2019] [Indexed: 12/28/2022]
Abstract
MR elastography allows non-invasive quantification of the shear modulus of tissue, i.e. tissue stiffness and viscosity, information that offers the potential to guide presurgical planning for brain tumor resection. Here, we review brain tumor MRE studies with particular attention to clinical applications. Studies that investigated MRE in patients with intracranial tumors, both malignant and benign as well as primary and metastatic, were queried from the Pubmed/Medline database in August 2018. Reported tumor and normal appearing white matter stiffness values were extracted and compared as a function of tumor histopathological diagnosis and MRE vibration frequencies. Because different studies used different elastography hardware, pulse sequences, reconstruction inversion algorithms, and different symmetry assumptions about the mechanical properties of tissue, effort was directed to ensure that similar quantities were used when making inter-study comparisons. In addition, because different methodologies and processing pipelines will necessarily bias the results, when pooling data from different studies, whenever possible, tumor values were compared with the same subject's contralateral normal appearing white matter to minimize any study-dependent bias. The literature search yielded 10 studies with a total of 184 primary and metastatic brain tumor patients. The group mean tumor stiffness, as measured with MRE, correlated with intra-operatively assessed stiffness of meningiomas and pituitary adenomas. Pooled data analysis showed significant overlap between shear modulus values across brain tumor types. When adjusting for the same patient normal appearing white matter shear modulus values, meningiomas were the stiffest tumor-type. MRE is increasingly being examined for potential in brain tumor imaging and might have value for surgical planning. However, significant overlap of shear modulus values between a number of different tumor types limits applicability of MRE for diagnostic purposes. Thus, further rigorous studies are needed to determine specific clinical applications of MRE for surgical planning, disease monitoring and molecular stratification of brain tumors.
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Affiliation(s)
- Adomas Bunevicius
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA 02115, United States; Harvard Medical School, Boston, MA, United States.
| | - Katharina Schregel
- Institute of Neuroradiology, University Medical Center Goettingen, Goettingen, Germany
| | - Ralph Sinkus
- Inserm U1148, LVTS, University Paris Diderot, University Paris 13, Paris, France
| | - Alexandra Golby
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA 02115, United States; Harvard Medical School, Boston, MA, United States; Department of Radiology, Brigham and Women's Hospital, Boston, MA 02115, United States
| | - Samuel Patz
- Harvard Medical School, Boston, MA, United States; Department of Radiology, Brigham and Women's Hospital, Boston, MA 02115, United States.
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Chen R, Kong W, Gan Y, Ge N, Chen Y, Ding H, Luo J, Wang W, Ren Z. Tumour stiffness associated with tumour response to conventional transarterial chemoembolisation for hepatocellular carcinoma: preliminary findings. Clin Radiol 2019; 74:814.e1-814.e7. [PMID: 31421865 DOI: 10.1016/j.crad.2019.07.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 07/16/2019] [Indexed: 12/25/2022]
Abstract
AIM To evaluate whether elastic (stiffness) characteristics of tumours were associated with treatment responses and survival of patients with hepatocellular carcinoma (HCC) treated with transarterial chemoembolisation (TACE). MATERIALS AND METHODS A retrospective cohort study of 59 HCC patients with unresectable HCC who underwent TACE was undertaken. Acoustic radiation force impulse imaging (ARFI) was used to measure tissue stiffness of the index tumours and non-tumoural liver before TACE treatment. The correlation between the parameters of tumour stiffness and treatment response to TACE was assessed using mRECIST criteria as well as according to patient survival. RESULTS Tumour stiffness and its stiffness difference between tumour and non-tumoural liver were significantly associated with tumour response to TACE (p=0.019 and 0.010, respectively). Patients with tumour stiffness of <2 m/s or stiffness difference between tumour and non-tumoural liver of <0.5 were more likely to have treatment response to TACE. Univariate analysis showed that the difference in stiffness between tumour and non-tumoural livers (p=0.039) was one of the significant predictors of overall survival (OS). In multivariate analysis, alpha-fetoprotein (AFP) (p=0.006) and Barcelona Clinic Liver Cancer (BCLC) stage (p=0.017) were identified as independent predictors of survival. CONCLUSION Tumour stiffness characteristics might be an added predictive marker of treatment response to TACE in patients with HCC.
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Affiliation(s)
- R Chen
- Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, 136 Yi Xue Yuan Road, Shanghai 200032, China
| | - W Kong
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Y Gan
- Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, 136 Yi Xue Yuan Road, Shanghai 200032, China
| | - N Ge
- Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, 136 Yi Xue Yuan Road, Shanghai 200032, China
| | - Y Chen
- Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, 136 Yi Xue Yuan Road, Shanghai 200032, China
| | - H Ding
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
| | - J Luo
- Department of Health Statistics and Social Medicine, School of Public Health, Fudan University, Shanghai, China
| | - W Wang
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Z Ren
- Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, 136 Yi Xue Yuan Road, Shanghai 200032, China.
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Navin PJ, Venkatesh SK. Hepatocellular Carcinoma: State of the Art Imaging and Recent Advances. J Clin Transl Hepatol 2019; 7:72-85. [PMID: 30944823 PMCID: PMC6441649 DOI: 10.14218/jcth.2018.00032] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Revised: 12/31/2018] [Accepted: 01/04/2019] [Indexed: 02/07/2023] Open
Abstract
The incidence of hepatocellular carcinoma (HCC) is increasing, with this trend expected to continue to the year 2030. Hepatocarcinogenesis follows a predictable course, which makes adequate identification and surveillance of at-risk individuals central to a successful outcome. Moreover, imaging is central to this surveillance, and ultimately to diagnosis and management. Many liver study groups throughout Asia, North America and Europe advocate a surveillance program for at-risk individuals to allow early identification of HCC. Ultrasound is the most commonly utilized imaging modality. Many societies offer guidelines on how to diagnose HCC. The Liver Image Reporting and Data System (LIRADS) was introduced to standardize the acquisition, interpretation, reporting and data collection of HCC cases. The LIRADS advocates diagnosis using multiphase computed tomography or magnetic resonance imaging (MRI) imaging. The 2017 version also introduces contrast-enhanced ultrasound as a novel approach to diagnosis. Indeed, imaging techniques have evolved to improve diagnostic accuracy and characterization of HCC lesions. Newer techniques, such as T1 mapping, intravoxel incoherent motion analysis and textural analysis, assess specific characteristics that may help grade the tumor and guide management, allowing for a more personalized approach to patient care. This review aims to analyze the utility of imaging in the surveillance and diagnosis of HCC and to assess novel techniques which may increase the accuracy of imaging and determine optimal treatment strategies.
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Affiliation(s)
| | - Sudhakar K. Venkatesh
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
- *Correspondence to: Sudhakar K. Venkatesh, Mayo Clinic, Rochester, 200 1 Street, Rochester MN 55905, USA. Tel: +1-507-284-1728, Fax: +1-507-284-2405, E-mail:
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Akkaya HE, Erden A, Kuru Öz D, Ünal S, Erden İ. Magnetic resonance elastography: basic principles, technique, and clinical applications in the liver. ACTA ACUST UNITED AC 2019; 24:328-335. [PMID: 30272563 DOI: 10.5152/dir.2018.18186] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Magnetic resonance elastography (MRE) is a constantly advancing technique for assessment of stiffness of tissues with newer technology and sequences. It is being increasingly used for the assessment of liver fibrosis. In this article, we discuss the advantages of MRE over biopsy and noninvasive methods such as US elastography in the assessment of liver fibrosis. Image acquisition and interpretation of liver MRE is also discussed.
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Affiliation(s)
| | - Ayşe Erden
- Department of Radiology, Ankara University School of Medicine, Ankara, Turkey
| | - Diğdem Kuru Öz
- Department of Radiology, Ankara University School of Medicine, Ankara, Turkey
| | - Sena Ünal
- Department of Radiology, Erzurum Local Training and Research Hospital, Erzurum, Turkey
| | - İlhan Erden
- Department of Radiology, Ankara University School of Medicine, Ankara, Turkey
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46
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Ma S, Zhu M, Xia X, Guo L, Genin GM, Sacks MS, Gao M, Mutic S, Hu Y, Hu CH, Feng Y. A preliminary study of the local biomechanical environment of liver tumors in vivo. Med Phys 2019; 46:1728-1739. [PMID: 30730058 DOI: 10.1002/mp.13434] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Revised: 01/30/2019] [Accepted: 01/31/2019] [Indexed: 12/22/2022] Open
Abstract
PURPOSE Biomechanical properties can be used as biomarkers to diagnose tumors, monitor tumor development, and evaluate treatment efficacy. The purpose of this preliminary study is to characterize the biomechanical environment of two typical liver tumors, hemangiomas (HEMs) and hepatocellular carcinomas (HCCs), and to investigate the potential of using strain metrics as biomarkers for tumor diagnosis, based on a limited clinical dataset. METHODS Magnetic resonance (MR) tagging was used to quantify the motion and deformation of the two types of liver tumors. Displacements of the tumors arising from a heartbeat were measured over one cardiac cycle. Local biomechanical conditions of the tumors were characterized by estimating two principal strains (ε1 and ε2 ) and an octahedral shear strain (εsoct ) of the tumor and its peripheral region. Biomechanical conditions of the tumors were compared with those of the arbitrarily selected regions from healthy volunteers. RESULTS We observed that the HCCs had significantly smaller strain values compared to their peripheral tissues. However, the HEMs did not have significantly different strains from those of the peripheral tissues, and were similar to healthy liver regions. The sensitivity of using ε1 , ε2 , and εsoct to diagnose HCC were all 1, while the sensitivity of using ε1 , ε2 , and εsoct to diagnose HEM were 0.67, 0.17, and 0.67, respectively. CONCLUSIONS Lagrangian strain metrics provide insight into the biomechanical conditions of certain liver tumors in the human body and may provide another perspective for tumor characterization and diagnosis.
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Affiliation(s)
- Shengyuan Ma
- Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.,State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Soochow University, Suzhou, 215123, China.,Center for Molecular Imaging and Nuclear Medicine, School of Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, Jiangsu, 215123, China
| | - Mo Zhu
- Department of Radiology, The first affiliated hospital of Soochow University, Suzhou, Jiangsu, 215021, China
| | - Xiaolong Xia
- State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Soochow University, Suzhou, 215123, China.,Center for Molecular Imaging and Nuclear Medicine, School of Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, Jiangsu, 215123, China
| | - Liang Guo
- Department of Radiology, The first affiliated hospital of Soochow University, Suzhou, Jiangsu, 215021, China
| | - Guy M Genin
- NSF Science and Technology Center for Engineering Mechanobiology, Department of Mechanical Engineering and Materials Science, Washington University, St. Louis, MO, 63130, USA
| | - Michael S Sacks
- Center of Cardiovascular Simulation, The University of Texas at Austin, Austin, TX, 70745, USA
| | - Mingyuan Gao
- State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Soochow University, Suzhou, 215123, China.,Center for Molecular Imaging and Nuclear Medicine, School of Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, Jiangsu, 215123, China
| | - Sasa Mutic
- Department of Radiation Oncology, Washington University, St. Louis, MO, 63110, USA
| | - Yanle Hu
- Department of Radiation Oncology, Mayo Clinic in Arizona, Phoenix, AZ, 85054, USA
| | - Chun-Hong Hu
- Department of Radiology, The first affiliated hospital of Soochow University, Suzhou, Jiangsu, 215021, China
| | - Yuan Feng
- Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.,State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Soochow University, Suzhou, 215123, China.,Center for Molecular Imaging and Nuclear Medicine, School of Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, Jiangsu, 215123, China
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New and Emerging Applications of Magnetic Resonance Elastography of Other Abdominal Organs. Top Magn Reson Imaging 2019; 27:335-352. [PMID: 30289829 DOI: 10.1097/rmr.0000000000000182] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Increasing clinical experience and ongoing research in the field of magnetic resonance elastography (MRE) is leading to exploration of its applications in other abdominal organs. In this review, the current research progress of MRE in prostate, uterus, pancreas, spleen, and kidney will be discussed. The article will describe patient preparation, modified technical approach including development of passive drivers, modification of sequences, and inversion. The potential clinical application of MRE in the evaluation of several disease processes affecting these organs will be discussed. In an era of increasing adoption of multiparametric magnetic resonance imaging approaches for solving complex abdominal problems, abdominal MRE as a biomarker may be seamlessly incorporated into a standard magnetic resonance imaging examination to provide a rapid, reliable, and comprehensive imaging evaluation at a single patient appointment in the future.
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Abstract
The first clinical application of magnetic resonance elastography (MRE) was in the evaluation of chronic liver disease (CLD) for detection and staging of liver fibrosis. In the past 10 years, MRE has been incorporated seamlessly into a standard magnetic resonance imaging (MRI) liver protocol worldwide. Liver MRE is a robust technique for evaluation of liver stiffness and is currently the most accurate noninvasive imaging technology for evaluation of liver fibrosis. Newer MRE sequences including spin-echo MRE and 3 dimensional MRE have helped in reducing the technical limitations of clinical liver MRE that is performed with 2D gradient recalled echo (GRE) MRE. Advances in MRE technology have led to understanding of newer mechanical parameters such as dispersion, attenuation, and viscoelasticity that may be useful in evaluating pathological processes in CLD and may prove useful in their management.This review article will describe the changes in CLD that cause an increase in stiffness followed by principle and technique of liver MRE. In the later part of the review, we will briefly discuss the advances in liver MRE.
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Correlation of the Stiffness of Hepatocellular Carcinoma and Surrounding Liver Parenchyma by Point Shear Wave Elastography. JOURNAL OF DIAGNOSTIC MEDICAL SONOGRAPHY 2019. [DOI: 10.1177/8756479318801587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The purpose of this study was to assess the correlation between hepatocellular carcinoma (HCC) and surrounding liver parenchyma stiffness using point shear wave elastography (pSWE). HCC was diagnosed using the criteria of the American Association for the Study of Liver Diseases. Liver fibrosis was classified into three groups (nonsignificant fibrosis, significant fibrosis, and cirrhosis). pSWE was performed on the HCC and the adjacent hepatic parenchyma and was expressed as kilopascal (kPa). A total of 59 HCC patients with 64 tumors were included in the study. The mean stiffnesses of HCC and liver background were 9.25 ± 3.76 and 10.84 ± 4.81 kPa, respectively. There was no statistical significance in HCC stiffness in any stage of liver fibrosis. Low HCC/liver background stiffness ratio was noted in the cirrhotic group and statistically significant in two comparison groups (cirrhosis vs significant fibrosis and cirrhosis vs nonsignificant fibrosis), with P < .001. In this cohort, HCC stiffness alone demonstrated no statistically significant difference in various stages of liver fibrosis.
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State of the art in magnetic resonance imaging of hepatocellular carcinoma. Radiol Oncol 2018; 52:353-364. [PMID: 30511939 PMCID: PMC6287184 DOI: 10.2478/raon-2018-0044] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Accepted: 10/19/2018] [Indexed: 12/12/2022] Open
Abstract
Background Liver cancer is the sixth most common cancer worldwide and the second leading cause of cancer mortality. Chronic liver disease caused by viral infection, alcohol abuse, or other factors can lead to cirrhosis. Cirrhosis is the most important clinical risk factor for hepatocellular carcinoma (HCC) whereby the normal hepatic architecture is replaced by fibrous septa and a spectrum of nodules ranging from benign regenerative nodules to HCC, each one of them with different imaging features. Conclusions Furthermore, advanced techniques including the quantification of hepatic and intralesional fat and iron, magnetic resonance elastography, radiomics, radiogenomics, and positron emission tomography (PET)-MRI are highly promising for the extraction of new imaging biomarkers that reflect the tumor microenvironment and, in the future, may add decision-making value in the management of patients with HCC.
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