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Mao X, Guo Y, Wen F, Liang H, Sun W, Lu Z. Applying arterial enhancement fraction (AEF) texture features to predict the tumor response in hepatocellular carcinoma (HCC) treated with Transarterial chemoembolization (TACE). Cancer Imaging 2021; 21:49. [PMID: 34384496 PMCID: PMC8359085 DOI: 10.1186/s40644-021-00418-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 07/19/2021] [Indexed: 12/15/2022] Open
Abstract
Background To evaluate the application of Arterial Enhancement Fraction (AEF) texture features in predicting the tumor response in Hepatocellular Carcinoma (HCC) treated with Transarterial Chemoembolization (TACE) by means of texture analysis. Methods HCC patients treated with TACE in Shengjing Hospital of China Medical University from June 2018 to December 2019 were retrospectively enrolled in this study. Pre-TACE Contrast Enhanced Computed Tomography (CECT) and imaging follow-up within 6 months were both acquired. The tumor responses were categorized according to the modified RECIST (mRECIST) criteria. Based on the CECT images, Region of Interest (ROI) of HCC lesion was drawn, the AEF calculation and texture analysis upon AEF values in the ROI were performed using CT-Kinetics (C.K., GE Healthcare, China). A total of 32 AEF texture features were extracted and compared between different tumor response groups. Multi-variate logistic regression was performed using certain AEF features to build the differential models to predict the tumor response. The Receiver Operator Characteristic (ROC) analysis was implemented to assess the discriminative performance of these models. Results Forty-five patients were finally enrolled in the study. Eight AEF texture features showed significant distinction between Improved and Un-improved patients (p < 0.05). In multi-variate logistic regression, 9 AEF texture features were applied into modeling to predict “Improved” outcome, and 4 AEF texture features were applied into modeling to predict “Un-worsened” outcome. The Area Under Curve (AUC), diagnostic accuracy, sensitivity, and specificity of the two models were 0.941, 0.911, 1.000, 0.826, and 0.824, 0.711, 0.581, 1.000, respectively. Conclusions Certain AEF heterogeneous features of HCC could possibly be utilized to predict the tumor response to TACE treatment.
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Affiliation(s)
- Xiaonan Mao
- Department of Radiology, ShengJing hospital of China Medical University, 12# floor at 1# building, 39 Huaxiang Road, Shenyang City, 110000, Liaoning Province, China
| | - Yan Guo
- GE Healthcare (China), Shanghai, China
| | - Feng Wen
- Department of Radiology, ShengJing hospital of China Medical University, 12# floor at 1# building, 39 Huaxiang Road, Shenyang City, 110000, Liaoning Province, China
| | - Hongyuan Liang
- Department of Radiology, ShengJing hospital of China Medical University, 12# floor at 1# building, 39 Huaxiang Road, Shenyang City, 110000, Liaoning Province, China
| | - Wei Sun
- Department of Radiology, ShengJing hospital of China Medical University, 12# floor at 1# building, 39 Huaxiang Road, Shenyang City, 110000, Liaoning Province, China
| | - Zaiming Lu
- Department of Radiology, ShengJing hospital of China Medical University, 12# floor at 1# building, 39 Huaxiang Road, Shenyang City, 110000, Liaoning Province, China.
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Lewis H, Ghasabeh M, Khoshpouri P, Kamel I, Pawlik T. Functional hepatic imaging as a biomarker of primary and secondary tumor response to loco-regional therapies. Surg Oncol 2017; 26:411-422. [DOI: 10.1016/j.suronc.2017.08.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Accepted: 08/21/2017] [Indexed: 02/06/2023]
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Corona-Villalobos CP, Zhang Y, Zhang WD, Kamel IR. Magnetic resonance imaging of the liver after loco-regional and systemic therapy. Magn Reson Imaging Clin N Am 2015; 22:353-72. [PMID: 25086934 DOI: 10.1016/j.mric.2014.04.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Assessment of tumor response is crucial in determining the effectiveness of loco-regional and systemic therapy, and for determining the need for subsequent treatment. The ultimate goal is to improve patient's survival. Changes in tumor size and enhancement after therapy may not be detected early by the traditional response criteria. Tumor response is better assessed in the entire tumor volume rather than in a single axial plane. The purpose of this article is to familiarize the reader with early treatment response assessed by anatomic and volumetric functional magnetic resonance imaging metrics of the liver after loco-regional and systemic therapy.
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Affiliation(s)
- Celia Pamela Corona-Villalobos
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, 600 North Wolfe Street, MRI 110B, Baltimore, MD 21287, USA
| | - Yan Zhang
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, 601 North Caroline Street, Room 4240, Baltimore, MD 21287, USA; Department of Radiology, Shandong Medical Imaging Research Institute, 324 Jingwu Road, MRI, Jinan 250021, Republic of China
| | - Wei-Dong Zhang
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, 601 North Caroline Street, Room 4240, Baltimore, MD 21287, USA
| | - Ihab R Kamel
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, 600 North Wolfe Street, MRI 143, Baltimore, MD 21287, USA.
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Valero V, Amini N, Spolverato G, Weiss MJ, Hirose K, Dagher NN, Wolfgang CL, Cameron AA, Philosophe B, Kamel IR, Pawlik TM. Sarcopenia adversely impacts postoperative complications following resection or transplantation in patients with primary liver tumors. J Gastrointest Surg 2015; 19:272-81. [PMID: 25389056 PMCID: PMC4332815 DOI: 10.1007/s11605-014-2680-4] [Citation(s) in RCA: 171] [Impact Index Per Article: 17.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2014] [Accepted: 10/10/2014] [Indexed: 01/31/2023]
Abstract
BACKGROUND Sarcopenia is a surrogate marker of patient frailty that estimates the physiologic reserve of an individual patient. We sought to investigate the impact of sarcopenia on short- and long-term outcomes in patients having undergone surgical intervention for primary hepatic malignancies. METHODS Ninety-six patients who underwent hepatic resection or liver transplantation for HCC or ICC at the John Hopkins Hospital between 2000 and 2013 met inclusion criteria. Sarcopenia was assessed by the measurement of total psoas major volume (TPV) and total psoas area (TPA). The impact of sarcopenia on perioperative complications and survival was assessed. RESULTS Mean age was 61.9 years and most patients were men (61.4 %). Mean adjusted TPV was lower in women (23.3 cm(3)/m) versus men (34.9 cm(3)/m) (P < 0.01); 47 patients (48.9 %) had sarcopenia. The incidence of a postoperative complication was 40.4 % among patients with sarcopenia versus 18.4 % among patients who did not have sarcopenia (P = 0.01). Of note, all Clavien grade ≥3 complications (n = 11, 23.4 %) occurred in the sarcopenic group. On multivariable analysis, the presence of sarcopenia was an independent predictive factor of postoperative complications (OR = 3.06). Sarcopenia was not associated with long-term survival (HR = 1.23; P = 0.51). CONCLUSIONS Sarcopenia, as assessed by TPV, was an independent factor predictive of postoperative complications following surgical intervention for primary hepatic malignancies.
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Affiliation(s)
- Vicente Valero
- Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Blalock 688, Baltimore, MD 21287, USA
| | - Neda Amini
- Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Blalock 688, Baltimore, MD 21287, USA
| | - Gaya Spolverato
- Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Blalock 688, Baltimore, MD 21287, USA
| | - Matthew J. Weiss
- Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Blalock 688, Baltimore, MD 21287, USA
| | - Kenzo Hirose
- Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Blalock 688, Baltimore, MD 21287, USA
| | - Nabil N. Dagher
- Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Blalock 688, Baltimore, MD 21287, USA
| | - Christopher L. Wolfgang
- Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Blalock 688, Baltimore, MD 21287, USA
| | - Andrew A. Cameron
- Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Blalock 688, Baltimore, MD 21287, USA
| | - Benjamin Philosophe
- Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Blalock 688, Baltimore, MD 21287, USA
| | - Ihab R. Kamel
- Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Timothy M. Pawlik
- Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Blalock 688, Baltimore, MD 21287, USA
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