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Grindel AL, Fretellier N, Soares M, Bouzakher N, Millot Maysounabe V, Santus R, Bawa O, Wintrebert M, Couquelet C, Robert P, Emile JF, Capron C. Antitumoral effect of local injection of TLR-9 agonist emulsified in Lipiodol with systemic anti-PD-1 in a murine model of colorectal carcinoma. Front Immunol 2024; 14:1272246. [PMID: 38292484 PMCID: PMC10825566 DOI: 10.3389/fimmu.2023.1272246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 12/26/2023] [Indexed: 02/01/2024] Open
Abstract
Introduction Local treatments of cancer, including transarterial chemoembolization, could enhance responses to systemic immune checkpoint inhibitors such as anti-PD-1 antibodies. Lipiodol, a radiopaque oil, is widely used for transarterial chemoembolization as a tumor-targeting drug carrier and could be used in emulsion with immunomodulators. This study aimed at evaluating the antitumoral effect of intra-tumoral injection of Lipiodol-immunomodulator emulsions combined with systemic anti-PD-1 therapy in a murine model of colorectal carcinoma. Method Mice (male BALB/c) with anti-PD-1-resistant subcutaneous CT26 tumors were injected with immunomodulators, emulsified or not with Lipiodol (N=10-12/group). Results The TLR-9 agonist CpG displayed antitumor effects, while Poly I:C and QS21 did not. The Lipiodol-CpG emulsion appeared to be stable and maintained CpG within tumors for a longer time. Repeated intra-tumoral injections, combined with anti-PD-1, induced responses towards the tumor as well as to a distant metastatic-like nodule. This treatment was associated with an increase in proliferative CD8+ T cells and of IFN-γ expression, a decrease in proliferative regulatory T cells but also, surprisingly, an increase in myeloid derived suppressor cells. Conclusions Local administration of CpG emulsified with Lipiodol led to an effective antitumoral effect when combined to systemic anti-PD-1 therapy. Lipiodol, apart from its radiopaque properties, is an efficient drug-delivery system. The formulated oil-in-water emulsion allows efficient loading and control release of CpG, which induces favorable immune modifications in this murine tumor model.
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Affiliation(s)
- Anne-Laure Grindel
- EA4340 Biomarqueurs en oncologie et onco-hématologie (BECCOH), Université Paris Saclay, Versailles, France
| | | | - Miguel Soares
- Guerbet, Research and Innovation Division, Aulnay-sous-Bois, France
| | - Nabiha Bouzakher
- EA4340 Biomarqueurs en oncologie et onco-hématologie (BECCOH), Université Paris Saclay, Versailles, France
| | | | - Robin Santus
- Guerbet, Research and Innovation Division, Aulnay-sous-Bois, France
| | - Olivia Bawa
- INSERM US23 Analyse Moléculaire, Modélisation et Imagerie de la Maladie Cancéreuse (AMMICA), Villejuif, France
| | | | | | - Philippe Robert
- Guerbet, Research and Innovation Division, Aulnay-sous-Bois, France
| | - Jean-Francois Emile
- EA4340 Biomarqueurs en oncologie et onco-hématologie (BECCOH), Université Paris Saclay, Versailles, France
- Département d’anatomie Pathologique et de Cytologie, Hôpital Ambroise-Paré, Boulogne-Billancourt, France
| | - Claude Capron
- EA4340 Biomarqueurs en oncologie et onco-hématologie (BECCOH), Université Paris Saclay, Versailles, France
- Immunology and Hematology Department, Hôpital Ambroise Paré, Boulogne-Billancourt, France
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Taiji R, Lin YM, Chintalapani G, Lin EY, Huang SY, Mahvash A, Avritscher R, Liu CA, Lee RC, Resende V, Nishiofuku H, Tanaka T, Kichikawa K, Klotz E, Gupta S, Odisio BC. A novel method for predicting hepatocellular carcinoma response to chemoembolization using an intraprocedural CT hepatic arteriography-based enhancement mapping: a proof-of-concept analysis. Eur Radiol Exp 2023; 7:4. [PMID: 36717474 PMCID: PMC9886747 DOI: 10.1186/s41747-022-00315-8] [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: 05/12/2022] [Accepted: 12/01/2022] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND To evaluate the feasibility of a novel approach for predicting hepatocellular carcinoma (HCC) response to drug-eluting beads transarterial chemoembolization (DEB-TACE) using computed tomography hepatic arteriography enhancement mapping (CTHA-EM) method. METHODS This three-institution retrospective study included 29 patients with 46 HCCs treated with DEB-TACE between 2017 and 2020. Pre- and posttreatment CTHA-EM images were generated using a prototype deformable registration and subtraction software. Relative tumor enhancement (TPost/pre-RE) defined as the ratio of tumor enhancement to normal liver tissue was calculated to categorize tumor response as residual (TPost-RE > 1) versus non-residual (TPost-RE ≤ 1) enhancement, which was blinded compared to the response assessment on first follow-up imaging using modified RECIST criteria. Additionally, for tumors with residual enhancement, CTHA-EM was evaluated to identify its potential feeding arteries. RESULTS CTHA-EM showed residual enhancement in 18/46 (39.1%) and non-residual enhancement in 28/46 (60.9%) HCCs, with significant differences on TPost-RE (3.05 ± 2.4 versus 0.48 ± 0.23, respectively; p < 0.001). The first follow-up imaging showed non-complete response (partial response or stable disease) in 19/46 (41.3%) and complete response in 27/46 (58.7%) HCCs. CTHA-EM had a response prediction sensitivity of 94.7% (95% CI, 74.0-99.9) and specificity of 100% (95% CI, 87.2-100). Feeding arteries to the residual enhancement areas were demonstrated in all 18 HCCs (20 arteries where DEB-TACE was delivered, 2 newly developed collaterals following DEB-TACE). CONCLUSION CTHA-EM method was highly accurate in predicting initial HCC response to DEB-TACE and identifying feeding arteries to the areas of residual arterial enhancement.
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Affiliation(s)
- Ryosuke Taiji
- grid.240145.60000 0001 2291 4776Division of Diagnostic Imaging, Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 USA ,grid.410814.80000 0004 0372 782XDepartment of Radiology and Nuclear Medicine, Nara Medical University, Kashihara, Nara, 634-8521 Japan
| | - Yuan-Mao Lin
- grid.240145.60000 0001 2291 4776Division of Diagnostic Imaging, Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 USA
| | - Gouthami Chintalapani
- Siemens Medical Solutions USA Inc, 501 North Barrington Road, Hoffman Estates, IL 60192 USA
| | - Ethan Y. Lin
- grid.240145.60000 0001 2291 4776Division of Diagnostic Imaging, Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 USA
| | - Steven Y. Huang
- grid.240145.60000 0001 2291 4776Division of Diagnostic Imaging, Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 USA
| | - Armeen Mahvash
- grid.240145.60000 0001 2291 4776Division of Diagnostic Imaging, Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 USA
| | - Rony Avritscher
- grid.240145.60000 0001 2291 4776Division of Diagnostic Imaging, Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 USA
| | - Chien-An Liu
- grid.278247.c0000 0004 0604 5314Department of Radiology, Taipei Veterans General Hospital, Taipei, 112 Taiwan ,grid.260539.b0000 0001 2059 7017College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Rheun-Chuan Lee
- grid.278247.c0000 0004 0604 5314Department of Radiology, Taipei Veterans General Hospital, Taipei, 112 Taiwan ,grid.260539.b0000 0001 2059 7017College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Vivian Resende
- grid.8430.f0000 0001 2181 4888Department of Surgery, Federal University of Minas Gerais, Belo Horizonte, MG Brazil
| | - Hideyuki Nishiofuku
- grid.410814.80000 0004 0372 782XDepartment of Radiology and Nuclear Medicine, Nara Medical University, Kashihara, Nara, 634-8521 Japan
| | - Toshihiro Tanaka
- grid.410814.80000 0004 0372 782XDepartment of Radiology and Nuclear Medicine, Nara Medical University, Kashihara, Nara, 634-8521 Japan
| | - Kimihiko Kichikawa
- grid.410814.80000 0004 0372 782XDepartment of Radiology and Nuclear Medicine, Nara Medical University, Kashihara, Nara, 634-8521 Japan
| | - Ernst Klotz
- grid.481749.70000 0004 0552 4145Siemens Healthineers, Siemensstraße 3, 91301 Forchheim, Germany
| | - Sanjay Gupta
- grid.240145.60000 0001 2291 4776Division of Diagnostic Imaging, Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 USA
| | - Bruno C. Odisio
- grid.240145.60000 0001 2291 4776Division of Diagnostic Imaging, Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 USA
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Adam LC, Savic LJ, Chapiro J, Letzen B, Lin M, Georgiades C, Hong KK, Nezami N. Response assessment methods for patients with hepatic metastasis from rare tumor primaries undergoing transarterial chemoembolization. Clin Imaging 2022; 89:112-119. [PMID: 35777239 PMCID: PMC9470015 DOI: 10.1016/j.clinimag.2022.06.013] [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: 03/06/2022] [Revised: 06/17/2022] [Accepted: 06/19/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE This study assessed the response to conventional transarterial chemoembolization (cTACE) in patients with liver metastases from rare tumor primaries using one-dimensional (1D) and three-dimensional (3D) quantitative response assessment methods, and investigate the relationship of lipiodol deposition in predicting response. MATERIALS AND METHODS This retrospective bicentric study included 16 patients with hepatic metastases from rare tumors treated with cTACE between 2002 and 2017. Multi-phasic MR imaging obtained before and after cTACE was used for assessment of response. Response evaluation criteria in solid tumors (RECIST) and modified-RECIST (mRECIST) were utilized for 1D response assessment, and volumetric RECIST (vRECIST) and enhancement-based quantitative European Association for Study of the Liver EASL (qEASL) were used for 3D response assessment. The same day post-cTACE CT scan was analyzed to quantify intratumoral lipiodol deposition (%). RESULTS The mean and standard deviation (SD) of diameter of treated lesions per targeted area was 7.5 ± 5.4 cm, and the mean and SD of number of metastases in each targeted area was 4.2 ± 4.6. cTACE was technically successful in all patients, without major complications. While RECIST and vRECIST methods did not allocate patients with partial response, mRECIST and qEASL identified patients with partial response. Intratumoral lipiodol deposition significantly predicted treatment response according qEASL (R2 = 0.470, p < 0.01), while no association was shown between lipiodol deposition within treated tumor area and RECIST or mRECIST (p > 0.212). CONCLUSION 3D quantitative volumetric response analysis can be used for stratification of response to cTACE in patients with hepatic metastases originating from rare primary tumors. Lipiodol deposition could potentially be used as an early surrogate to predict response to cTACE.
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Affiliation(s)
- Lucas C Adam
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA; Institute of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität, and Berlin Institute of Health, 10117 Berlin, Germany
| | - Lynn J Savic
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA; Institute of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität, and Berlin Institute of Health, 10117 Berlin, Germany; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, BIH Charité (Junior) (Digital) Clinician Scientist Program, Charitéplatz 1, 10117 Berlin, Germany
| | - Julius Chapiro
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
| | - Brian Letzen
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
| | - MingDe Lin
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA; Visage Imaging, Inc., San Diego, CA, USA
| | - Christos Georgiades
- Division of Vascular and Interventional Radiology, Russel H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kelvin K Hong
- Division of Vascular and Interventional Radiology, Russel H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nariman Nezami
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA; Division of Vascular and Interventional Radiology, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA; Experimental Therapeutics Program, University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, MD, USA.
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A Nomogram Based on Preoperative Lipiodol Deposition after Sequential Retreatment with Transarterial Chemoembolization to Predict Prognoses for Intermediate-Stage Hepatocellular Carcinoma. J Pers Med 2022; 12:jpm12091375. [PMID: 36143160 PMCID: PMC9501090 DOI: 10.3390/jpm12091375] [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: 06/25/2022] [Revised: 08/23/2022] [Accepted: 08/24/2022] [Indexed: 12/24/2022] Open
Abstract
(1) Background: Conventional transarterial chemoembolization (cTACE) is the mainstay treatment for patients with Barcelona Clinic Liver Cancer (BCLC) B-stage hepatocellular carcinoma (HCC). However, BCLC B-stage patients treated with cTACE represent a prognostically heterogeneous population. We aim to develop and validate a lipiodol-deposition-based nomogram for predicting the long-term survival of BCLC B-stage HCC patients after sequential cTACE. (2) Methods: In this retrospective study, 229 intermediate-stage HCC patients from two hospitals were separately allocated to a training cohort (n = 142) and a validation cohort (n = 87); these patients underwent repeated TACE (≥4 TACE sessions) between May 2010 and May 2017. Lipiodol deposition was assessed by semiautomatic volumetric measurement with multidetector computed tomography (MDCT) before cTACE and was characterized by two ordinal levels: ≤50% (low) and >50% (high). A clinical lipiodol deposition nomogram was constructed based on independent risk factors identified by univariate and multivariate Cox regression analyses, and the optimal cutoff points were obtained. Prediction models were assessed by time-dependent receiver-operating characteristic curves, calibration curves, and decision curve analysis. (3) Results: The median number of TACE sessions was five (range, 4−7) in both cohorts. Before the TACE-3 sessions, the newly constructed nomogram based on lipiodol deposition achieved desirable diagnostic performance in the training and validation cohorts with AUCs of 0.72 (95% CI, 0.69−0.74) and 0.71 (95% CI, 0.68−0.73), respectively, and demonstrated higher predictive ability compared with previously published prognostic models (all p < 0.05). The prognostic nomogram obtained good clinical usefulness in predicting the patient outcomes after TACE. (4) Conclusions: Based on each pre-TACE lipiodol deposition, two sessions are recommended before abandoning cTACE or combining treatment for patients with intermediate-stage HCC. Furthermore, the nomogram based on pre-TACE-3 lipiodol deposition can be used to predict the prognoses of patients with BCLC B-stage HCC.
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Arterial enhancement fraction in evaluating the therapeutic effect and survival for hepatocellular carcinoma patients treated with DEB-TACE. Cancer Imaging 2022; 22:38. [PMID: 35908071 PMCID: PMC9338623 DOI: 10.1186/s40644-022-00477-z] [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: 06/24/2022] [Accepted: 07/23/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Arterial enhancement fraction (AEF), derived from triphasic CT scans, is considered to indirectly reflect the ratio of hepatic arterial perfusion to total perfusion. The purpose of this study was to retrospectively investigate the relationship between AEF and treatment response and survival in hepatocellular carcinoma (HCC) patients treated with drug-eluting bead (DEB) TACE. METHODS AEF of primary lesion (AEFpre) and residual tumor (AEFpost) in 158 HCC patients were obtained from triphasic liver CT examinations pre- and post-treatment. Wilcoxon-signed rank test was used to compare the AEFpre and AEFpost for different response groups. Survival curves for overall survival (OS) in patients with different AEF were created by using Kaplan-Meier method. Cox regression analyses were used to determine the association between AEF and OS. RESULTS There was no correlation between AEFpre and treatment response. After DEB-TACE, AEFpost was significantly lower than AEFpre either in the partial response group (38.9% vs. 52.7%, p < 0.001) or in the stable disease group (49.3% vs. 52.1%, p = 0.029). In the progression disease group, AEFpost was numerically higher than AEFpre (55.5% vs. 53.0%, p = 0.604). Cox regression analyses showed that risk of death increased in patients with AEFpre > 57.95% (HR = 1.66, p = 0.019) or AEFpost > 54.85% (HR = 2.47, p < 0.001), and the risk reduced in patients with any reduction in tumor AEF (decrease ratio ≥ 0) and with increased AEF but not exceeding the ratio of 0.102 (increase ratio < 0.102) (HR = 0.32, p < 0.001). CONCLUSIONS The change in AEF of viable tumor is correlated with response of HCC to DEB-TACE. In addition, the AEF could be a helpful predictor in future studies on the embolization treatment for HCC.
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Can Posttransarterial Chemoembolization Volumetric Oil Deposition on Computed Tomography Predict Treatment Response on Magnetic Resonance Imaging in Leiomyosarcoma Metastases to the Liver? J Comput Assist Tomogr 2022; 46:327-332. [PMID: 35405712 DOI: 10.1097/rct.0000000000001294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To predict early tumor response to transarterial chemoembolization (TACE) based on volumetric oil deposition on posttreatment computed tomography (CT) in patients with leiomyosarcoma liver metastases. METHODS This retrospective lesion-by-lesion based study included 32 lesions. The volumetric percent enhancing tumor on pre-TACE and 1-month post-TACE venous phase magnetic resonance imaging (MRI), and the percent oil deposition on CT 1 day after TACE were calculated. The predicted post-TACE enhanced percentage was computed by subtracting percent oil deposition from baseline percent enhanced. RESULTS Mean percentage of viable tumor on pre-TACE MRI was 90.6% ± 9.3%. Mean oil deposition was calculated as 51.4% ± 26.2%. Mean percentage of measured residual tumor enhancement 1 month after TACE was 58.3% ± 27%, which correlates with predicted enhancement percentage of 43.9% ± 25.1% (r = 0.72, P < 0.001). A threshold of 35.5% for enhancement reduction was determined to predict tumor response with an accuracy of 78.1%. CONCLUSION Volumetric oil deposition on CT can predict residual enhancement on post-TACE MRI.
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Malpani R, Petty CW, Yang J, Bhatt N, Zeevi T, Chockalingam V, Raju R, Petukhova-Greenstein A, Santana JG, Schlachter TR, Madoff DC, Chapiro J, Duncan J, Lin M. Quantitative Automated Segmentation of Lipiodol Deposits on Cone Beam CT Imaging acquired during Transarterial Chemoembolization for Liver Tumors: A Deep Learning Approach. J Vasc Interv Radiol 2021; 33:324-332.e2. [PMID: 34923098 DOI: 10.1016/j.jvir.2021.12.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 12/01/2021] [Accepted: 12/07/2021] [Indexed: 11/16/2022] Open
Abstract
PURPOSE The purpose of this study was to show that a deep learning-based, automated model for Lipiodol segmentation on CBCT after cTACE performs closer to the "ground truth segmentation" than a conventional thresholding-based model. MATERIALS & METHODS This post-hoc analysis included 36 patients with a diagnosis of HCC or other solid liver tumor who underwent cTACE with an intra-procedural CBCT. Semi-automatic segmentation of Lipiodol were obtained. Then, a convolutional U-net model was used to output a binary mask that predicts Lipiodol deposition. A threshold value of signal intensity on CBCT was used to obtain a Lipiodol mask for comparison. Dice similarity coefficient (DSC), Mean-squared error (MSE), and Center of Mass (CM), and fractional volume ratios for both masks were obtained by comparing them to the ground truth (radiologist segmented Lipiodol deposits) to obtain accuracy metrics for the two masks. These results were used to compare the model vs. the threshold technique. RESULTS For all metrics, the U-net outperformed the threshold technique: DSC (0.65±0.17 vs. 0.45±0.22,p<0.001) and MSE (125.53±107.36 vs. 185.98±93.82,p=0.005). Difference between the CM predicted, and the actual CM was (15.31±14.63mm vs. 31.34±30.24mm,p<0.001), with lesser distance indicating higher accuracy. The fraction of volume present ([predicted Lipiodol volume]/[ground truth Lipiodol volume]) was 1.22±0.84vs.2.58±3.52,p=0.048 for our model's prediction and threshold technique, respectively. CONCLUSION This study showed that a deep learning framework could detect Lipiodol in CBCT imaging and was capable of outperforming the conventionally used thresholding technique over several metrics. Further optimization will allow for more accurate, quantitative predictions of Lipiodol depositions intra-procedurally.
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Affiliation(s)
- Rohil Malpani
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 330 Cedar St. Tompkins East TE-2, New Haven, CT. 06520, USA
| | - Christopher W Petty
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 330 Cedar St. Tompkins East TE-2, New Haven, CT. 06520, USA
| | - Junlin Yang
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 330 Cedar St. Tompkins East TE-2, New Haven, CT. 06520, USA
| | - Neha Bhatt
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 330 Cedar St. Tompkins East TE-2, New Haven, CT. 06520, USA
| | - Tal Zeevi
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 330 Cedar St. Tompkins East TE-2, New Haven, CT. 06520, USA
| | - Vijay Chockalingam
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 330 Cedar St. Tompkins East TE-2, New Haven, CT. 06520, USA
| | - Rajiv Raju
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 330 Cedar St. Tompkins East TE-2, New Haven, CT. 06520, USA
| | - Alexandra Petukhova-Greenstein
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 330 Cedar St. Tompkins East TE-2, New Haven, CT. 06520, USA
| | - Jessica Gois Santana
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 330 Cedar St. Tompkins East TE-2, New Haven, CT. 06520, USA
| | - Todd R Schlachter
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 330 Cedar St. Tompkins East TE-2, New Haven, CT. 06520, USA
| | - David C Madoff
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 330 Cedar St. Tompkins East TE-2, New Haven, CT. 06520, USA
| | - Julius Chapiro
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 330 Cedar St. Tompkins East TE-2, New Haven, CT. 06520, USA.
| | - James Duncan
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 330 Cedar St. Tompkins East TE-2, New Haven, CT. 06520, USA
| | - MingDe Lin
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 330 Cedar St. Tompkins East TE-2, New Haven, CT. 06520, USA; Visage Imaging, Inc., 12625 High Bluff Drive, Suite 205, San Diego, CA 92130, USA
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Hazhirkarzar B, Tang H, Ghadimi M, Baghdadi A, Motaghi M, Wu Q, Shaghaghi M, Kamel I. Predicting early necrosis of colorectal liver metastases using volumetric enhancement on baseline MRI and oil deposition on post-cTACE unenhanced CT. Abdom Radiol (NY) 2021; 46:4610-4618. [PMID: 34089068 DOI: 10.1007/s00261-021-03133-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 04/19/2021] [Accepted: 05/21/2021] [Indexed: 01/05/2023]
Abstract
PURPOSE To predict tumor necrosis after conventional TACE (cTACE) in patients with colorectal liver metastasis (CRLM) based on volumetric oil deposition on CT one day after treatment. METHODS Thirty-four lesions in 20 men and 6 women were included in this IRB-approved HIPAA-compliant, retrospective lesion-by-lesion-based study. Semiautomatic volumetric segmentation of target lesions was performed on baseline MRI and post-treatment CT. Predicted percentage of tumor necrosis was defined as 100%-(%baseline MRI enhancement-%CT oil deposition). Necrosis on post-TACE MRI was measured after volumetric segmentation to assess the accuracy of predicting tumor necrosis. The relationship between predicted necrosis percent and post-cTACE measured necrosis percent on MRI was compared using Pearson correlation analysis. Inter-reader agreement was calculated by intraclass correlation coefficient (ICC) after using the same method. RESULTS Patients in this cohort had a mean age of 64 ± 14 years. Mean percentage of the viable tumor on pre-cTACE venous phase MRI was 58.5% ± 23.9%. Mean oil deposition was 19.8% ± 14.6%. Mean percentage of calculated necrosis one month after cTACE was 59.2% ± 22.7% on venous phase MRI, which had a significant correlation with predicted necrotic percentage of 61.3% ± 19.3% (r = 0.89, p < 0.0001). ICC for enhancement percentage on pre-cTACE and post-cTACE venous phase MRIs were 0.93 (95% CI 0.83, 0.97) and 0.86 (95% CI 0.66, 0.94), respectively. ICC for oil deposition was 0.92 (95% CI 0.81, 0.96). CONCLUSION Measuring oil deposition of the whole tumor on CT one day after cTACE can assist to predict post-cTACE tumor necrosis.
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Affiliation(s)
- Bita Hazhirkarzar
- Russell H. Morgan Department of Radiology and Radiological Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Hao Tang
- Russell H. Morgan Department of Radiology and Radiological Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Maryam Ghadimi
- Russell H. Morgan Department of Radiology and Radiological Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Azarakhsh Baghdadi
- Russell H. Morgan Department of Radiology and Radiological Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Mina Motaghi
- Russell H. Morgan Department of Radiology and Radiological Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Qingxia Wu
- Russell H. Morgan Department of Radiology and Radiological Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Mohammadreza Shaghaghi
- Russell H. Morgan Department of Radiology and Radiological Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Ihab Kamel
- Russell H. Morgan Department of Radiology and Radiological Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, 600 North Wolfe Street, MRI 143, Baltimore, MD, 21287, USA.
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Ding J, Xiao H, Deng W, Liu F, Zhu R, Ha R. Feasibility of quantitative and volumetric enhancement measurement to assess tumor response in patients with breast cancer after early neoadjuvant chemotherapy. J Int Med Res 2021; 49:300060521991017. [PMID: 33682494 PMCID: PMC7944542 DOI: 10.1177/0300060521991017] [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] [Indexed: 01/03/2023] Open
Abstract
Objective To evaluate the feasibility of quantitative enhancing lesion volume (ELV) for evaluating the responsiveness of breast cancer patients to early neoadjuvant chemotherapy (NAC) using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Methods Seventy-five women with breast cancer underwent DCE-MRI before and after NAC. Lesions were assessed by ELV, response evaluation criteria in solid tumors 1.1 (RECIST 1.1), and total lesion volume (TLV). The diagnostic and pathological predictive performances of the methods were compared and color maps were compared with pathological results. Results ELV identified 29%, 67%, and 4% of cases with partial response, stable disease, and progressive disease, respectively. There was no significant difference in evaluation performances among the methods. The sensitivity, specificity, positive predictive value, negative predictive value (NPV), and accuracy of ELV for predicting pathologic response were 72%, 92%, 81.8%, 86.8%, and 85.3%, respectively, with the highest sensitivity, NPV, and accuracy of the three methods. The area under the receiver operating characteristic curve was also highest for ELV. Pre- and post-NAC color maps reflecting tumor activity were consistent with pathological necrosis. Conclusions ELV may help evaluate the responsiveness of breast cancer patients to NAC, and may provide a good tumor-response indicator through the ability to indicate tumor viability.
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Affiliation(s)
- Jie Ding
- Medical Imaging Center, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Hongyan Xiao
- The Pathology Department, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | | | - Fengjiao Liu
- Medical Imaging Center, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Rongrong Zhu
- Medical Imaging Center, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Ruoshui Ha
- Medical Imaging Center, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
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10
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Abstract
PURPOSE OF REVIEW Radiogenomics is a growing field that has garnered immense interest over the past decade, owing to its numerous applications in the field of oncology and its potential value in improving patient outcomes. Current applications have only begun to delve into the potential of radiogenomics, and particularly in interventional oncology, there is room for development and increased value of these applications. RECENT FINDINGS The field of interventional oncology (IO) has seen valuable radiogenomic applications, from prediction of response to locoregional therapies in hepatocellular carcinoma to identification of genetic mutations in non-small cell lung cancer. Future directions that can increase the value of radiogenomics include applications that address tumor heterogeneity, predict immune responsiveness of tumors, and differentiate between oligoprogression and early widespread progression, among others. Radiogenomics, whether in terms of methodologies or applications, is still in the early stages of development and far from maturation. Future applications, particularly in the field of interventional oncology, will allow realization of its full potential.
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11
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Choi WS, Chang W, Lee M, Hur S, Kim HC, Jae HJ, Chung JW, Choi JW. Spectral CT-Based Iodized Oil Quantification to Predict Tumor Response Following Chemoembolization of Hepatocellular Carcinoma. J Vasc Interv Radiol 2020; 32:16-22. [PMID: 33162309 DOI: 10.1016/j.jvir.2020.09.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 07/20/2020] [Accepted: 09/13/2020] [Indexed: 12/12/2022] Open
Abstract
PURPOSE To quantify iodized oil retention in tumors after transarterial chemoembolization using spectral computed tomography (CT) imaging in patients with hepatocellular carcinoma (HCC) and evaluate its performance in predicting 12-month tumor responses. MATERIALS AND METHODS From September 2017 to December 2018, 111 patients with HCC underwent initial conventional transarterial chemoembolization. Immediately after the procedure, unenhanced CT was performed using a spectral CT scanner, and the iodized oil densities in index tumors were measured. In tumor-level analyses, a threshold level of iodized oil density in the tumors was calculated using clustered receiver operating characteristic curve analyses to predict the 12-month tumor responses. In patient-level analyses, significant factors associated with a 12-month complete response, including the presence of tumors below the threshold value (ie, suspected residual tumors), were evaluated by logistic regression. RESULTS Forty-eight HCCs in 39 patients were included in the analyses. The lower 10th percentile of the iodine density was identified as the threshold for determining the 12-month nonviable responses. The area under the curve of the iodine density measurements in predicting the 12-month nonviable responses was 0.893 (95% confidence interval, 0.797-0.989). The threshold value of the iodine density of 10.68 mg/mL yielded a sensitivity of 82.76% and specificity of 94.74% (P < .001). In the patient-level analysis, the 12-month complete response was significantly associated with the presence of a suspected residual tumor, with an odds ratio of 72.0 (95% confidence interval, 7.273-712.770). CONCLUSIONS Spectral CT imaging using quantitative analysis of the iodized oil retention in target HCCs can predict tumor responses after a conventional transarterial chemoembolization procedure.
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Affiliation(s)
- Won Seok Choi
- Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Won Chang
- Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Myungsu Lee
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, #101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea
| | - Saebeom Hur
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, #101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea
| | - Hyo-Cheol Kim
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, #101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea
| | - Hwan Jun Jae
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, #101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea
| | - Jin Wook Chung
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, #101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea
| | - Jin Woo Choi
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, #101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
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12
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Automated feature quantification of Lipiodol as imaging biomarker to predict therapeutic efficacy of conventional transarterial chemoembolization of liver cancer. Sci Rep 2020; 10:18026. [PMID: 33093524 PMCID: PMC7582153 DOI: 10.1038/s41598-020-75120-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 10/09/2020] [Indexed: 02/08/2023] Open
Abstract
Conventional transarterial chemoembolization (cTACE) is a guideline-approved image-guided therapy option for liver cancer using the radiopaque drug-carrier and micro-embolic agent Lipiodol, which has been previously established as an imaging biomarker for tumor response. To establish automated quantitative and pattern-based image analysis techniques of Lipiodol deposition on 24 h post-cTACE CT as biomarker for treatment response. The density of Lipiodol deposits in 65 liver lesions was automatically quantified using Hounsfield Unit thresholds. Lipiodol deposition within the tumor was automatically assessed for patterns including homogeneity, sparsity, rim, and peripheral deposition. Lipiodol deposition was correlated with enhancing tumor volume (ETV) on baseline and follow-up MRI. ETV on baseline MRI strongly correlated with Lipiodol deposition on 24 h CT (p < 0.0001), with 8.22% ± 14.59 more Lipiodol in viable than necrotic tumor areas. On follow-up, tumor regions with Lipiodol showed higher rates of ETV reduction than areas without Lipiodol (p = 0.0475) and increasing densities of Lipiodol enhanced this effect. Also, homogeneous (p = 0.0006), non-sparse (p < 0.0001), rim deposition within sparse tumors (p = 0.045), and peripheral deposition (p < 0.0001) of Lipiodol showed improved response. This technical innovation study showed that an automated threshold-based volumetric feature characterization of Lipiodol deposits is feasible and enables practical use of Lipiodol as imaging biomarker for therapeutic efficacy after cTACE.
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13
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Perkons NR, Kiefer RM, Noji MC, Pourfathi M, Ackerman D, Siddiqui S, Tischfield D, Profka E, Johnson O, Pickup S, Mancuso A, Pantel A, Denburg MR, Nadolski GJ, Hunt SJ, Furth EE, Kadlecek S, Gade TPF. Hyperpolarized Metabolic Imaging Detects Latent Hepatocellular Carcinoma Domains Surviving Locoregional Therapy. Hepatology 2020; 72:140-154. [PMID: 31553806 PMCID: PMC7307779 DOI: 10.1002/hep.30970] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Accepted: 09/08/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND AIMS Advances in cancer treatment have improved survival; however, local recurrence and metastatic disease-the principal causes of cancer mortality-have limited the ability to achieve durable remissions. Local recurrences arise from latent tumor cells that survive therapy and are often not detectable by conventional clinical imaging techniques. Local recurrence after transarterial embolization (TAE) of hepatocellular carcinoma (HCC) provides a compelling clinical correlate of this phenomenon. In response to TAE-induced ischemia, HCC cells adapt their growth program to effect a latent phenotype that precedes local recurrence. APPROACH AND RESULTS In this study, we characterized and leveraged the metabolic reprogramming demonstrated by latent HCC cells in response to TAE-induced ischemia to enable their detection in vivo using dynamic nuclear polarization (DNP) magnetic resonance spectroscopic imaging (MRSI) of 13 carbon-labeled substrates. Under TAE-induced ischemia, latent HCC cells demonstrated reduced metabolism and developed a dependence on glycolytic flux to lactate. Despite the hypometabolic state of these cells, DNP-MRSI of 1-13 C-pyruvate and its downstream metabolites, 1-13 C-lactate and 1-13 C-alanine, predicted histological viability. CONCLUSIONS These studies provide a paradigm for imaging latent, treatment-refractory cancer cells, suggesting that DNP-MRSI provides a technology for this application.
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Affiliation(s)
- Nicholas R. Perkons
- Penn Image-Guided Interventions Laboratory, Hospital of the University of Pennsylvania, Philadelphia, PA 19104,Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104
| | - Ryan M. Kiefer
- Penn Image-Guided Interventions Laboratory, Hospital of the University of Pennsylvania, Philadelphia, PA 19104,Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104
| | - Michael C. Noji
- Penn Image-Guided Interventions Laboratory, Hospital of the University of Pennsylvania, Philadelphia, PA 19104,Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104
| | - Mehrdad Pourfathi
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104
| | - Daniel Ackerman
- Penn Image-Guided Interventions Laboratory, Hospital of the University of Pennsylvania, Philadelphia, PA 19104,Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104
| | - Sarmad Siddiqui
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104
| | - David Tischfield
- Penn Image-Guided Interventions Laboratory, Hospital of the University of Pennsylvania, Philadelphia, PA 19104,Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104
| | - Enri Profka
- Penn Image-Guided Interventions Laboratory, Hospital of the University of Pennsylvania, Philadelphia, PA 19104,Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104
| | - Omar Johnson
- Penn Image-Guided Interventions Laboratory, Hospital of the University of Pennsylvania, Philadelphia, PA 19104,Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104
| | - Stephen Pickup
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104
| | - Anthony Mancuso
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104
| | - Austin Pantel
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104
| | - Michelle R. Denburg
- Department of Nephrology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104
| | - Gregory J. Nadolski
- Penn Image-Guided Interventions Laboratory, Hospital of the University of Pennsylvania, Philadelphia, PA 19104,Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104
| | - Stephen J. Hunt
- Penn Image-Guided Interventions Laboratory, Hospital of the University of Pennsylvania, Philadelphia, PA 19104,Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104
| | - Emma E. Furth
- Department of Pathology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104
| | - Stephen Kadlecek
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104
| | - Terence P. F. Gade
- Penn Image-Guided Interventions Laboratory, Hospital of the University of Pennsylvania, Philadelphia, PA 19104,Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104,Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104,Corresponding author: Terence P. F. Gade, University of Pennsylvania Perelman School of Medicine, 652 BRB II/III, 421 Curie Boulevard, Philadelphia, PA 19104-6160, Tel: 215-573-9756, Fax: 215-746-5511,
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14
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Miszczuk MA, Chapiro J, Geschwind JFH, Thakur V, Nezami N, Laage-Gaupp F, Kulon M, van Breugel JMM, Fereydooni A, Lin M, Savic LJ, Tegel B, Wahlin T, Funai E, Schlachter T. Lipiodol as an Imaging Biomarker of Tumor Response After Conventional Transarterial Chemoembolization: Prospective Clinical Validation in Patients with Primary and Secondary Liver Cancer. Transl Oncol 2020; 13:100742. [PMID: 32092672 PMCID: PMC7036424 DOI: 10.1016/j.tranon.2020.01.003] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2019] [Revised: 01/09/2020] [Accepted: 01/13/2020] [Indexed: 02/07/2023] Open
Affiliation(s)
- Milena A Miszczuk
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA; Institute of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität, and Berlin Institute of Health, 10117 Berlin, Germany
| | - Julius Chapiro
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | | | - Vinayak Thakur
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Nariman Nezami
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Fabian Laage-Gaupp
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Michal Kulon
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Johanna M M van Breugel
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA; University Medical Center Utrecht, Imaging department, Utrecht, The Netherlands
| | - Arash Fereydooni
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - MingDe Lin
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA; Visage Imaging, Inc., 12625 High Bluff Drive, Suite 205, San Diego, CA 92130, USA
| | - Lynn Jeanette Savic
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA; Institute of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität, and Berlin Institute of Health, 10117 Berlin, Germany
| | - Bruno Tegel
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA; Institute of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität, and Berlin Institute of Health, 10117 Berlin, Germany
| | - Tamara Wahlin
- University of California, San Diego, 9500 Gilman Dr, La Jolla, CA 92093
| | - Eliot Funai
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA
| | - Todd Schlachter
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA.
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15
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Ippolito D, Pecorelli A, Querques G, Drago SG, Maino C, Franzesi CT, Hatzidakis A, Sironi S. Dynamic Computed Tomography Perfusion Imaging: Complementary Diagnostic Tool in Hepatocellular Carcinoma Assessment From Diagnosis to Treatment Follow-up. Acad Radiol 2019; 26:1675-1685. [PMID: 30852079 DOI: 10.1016/j.acra.2019.02.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2018] [Revised: 02/13/2019] [Accepted: 02/13/2019] [Indexed: 02/05/2023]
Abstract
Early diagnosis of HCC is of paramount importance in order to enable the application of curative treatments. Among these, radiofrequency ablation (RFA) is actually considered the most effective ablative therapy for early stage hepatocellular carcinoma (HCC) not suitable for surgery. On the other hand, transarterial chemoembolization (TACE) represents the standard of care for intermediate stage HCC and compensated liver function. Finally, sorafenib, an oral antiangiogenic targeted drug, is the only approved systemic therapy for advanced HCC with vascular invasion, extrahepatic spread, and well-preserved liver function. Beside traditional radiological techniques, new functional imaging tools have been introduced in order to provide not only morphological information but also quantitative functional data. In this review, we analyze perfusion-CT (pCT) from a technical point of view, describing the main different mathematical analytical models for the quantification of tissue perfusion from acquired CT raw data, the most commonly acquired perfusion parameters, and the technical parameters required to perform a standard pCT examination. Moreover, a systematic review of the literature was performed to assess the role of pCT as an emerging imaging biomarker for HCC diagnosis, response evaluation to RFA, TACE, and sorafenib, and we examine its challenges in HCC management.
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Affiliation(s)
- Davide Ippolito
- University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33 - 20900 Monza, Italy
| | - Anna Pecorelli
- University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33 - 20900 Monza, Italy.
| | - Giulia Querques
- University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33 - 20900 Monza, Italy
| | - Silvia Girolama Drago
- University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33 - 20900 Monza, Italy
| | - Cesare Maino
- University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33 - 20900 Monza, Italy
| | - Cammillo Talei Franzesi
- University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33 - 20900 Monza, Italy
| | - Adam Hatzidakis
- Department of Medical Imaging, University Hospital of Heraklion, Greece
| | - Sandro Sironi
- University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, ASST Papa Giovanni XXIII, Bergamo, Italy
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16
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van Breugel JMM, Geschwind JF, Mirpour S, Savic LJ, Zhang X, Duran R, Lin M, Miszczuk M, Liapi E, Chapiro J. Theranostic application of lipiodol for transarterial chemoembolization in a VX2 rabbit liver tumor model. Am J Cancer Res 2019; 9:3674-3686. [PMID: 31281506 PMCID: PMC6587357 DOI: 10.7150/thno.32943] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 03/25/2019] [Indexed: 02/07/2023] Open
Abstract
The goal of this study was to investigate the role of Lipiodol as a tumor-specific imaging biomarker to determine therapeutic efficacy of cTACE and investigate its inter-dependency with tumor perfusion using radiological-pathological correlation in an animal model of liver cancer. METHODS A total of N=36 rabbits were implanted in the left lobe of the liver with VX2 tumors, treated with cTACE using doxorubicin suspended in Lipiodol, and randomly sacrificed at 24 h, 7 days, or 20 days post-TACE. Unenhanced and contrast-enhanced CT scans including a perfusion protocol were obtained before cTACE and immediately before sacrifice. Tumor vascularity and Lipiodol deposition within tumors and hepatic tissue (non-target deposits) were quantified using 3D quantitative assessment tools and measurements of arterial flow, portal flow, and perfusion index (PI). After sacrifice histologic staining, including hematoxylin and eosin (H&E), CD31, and Oil Red O (ORO) were performed on tumor and liver samples to evaluate necrosis, microvascular density (MVD), and Lipiodol retention over time. Transmission electron microscopy (TEM) was performed to assess Lipiodol deposition and clearance over time. RESULTS All cTACE procedures were carried out successfully except for one, which was excluded from further analysis. Twenty-four hours post-TACE, tumor PI (p=0.04) was significantly decreased, which was maintained at 7 days (p=0.003), but not at 20 days (p=0.4). A strong correlation (R2 = 0.894) was found between the volume of enhancing tumor tissue at baseline and Lipiodol-positive tumor volume post-TACE. Both ORO and TEM showed deposition of Lipiodol across all imaging time points within the VX2 tumors. However, gradual and ultimately near-complete Lipiodol washout was observed over time in the non-tumoral liver. MVD decreased between 24 h and 7 days post-TACE, and then increased 20 days post-TACE (both p<0.01). CONCLUSIONS Our data provide radiology-pathology evidence for the function of Lipiodol as a theranostic, tumor-specific drug delivery agent because it is both imageable and tumor-seeking, whereby it is preferentially taken up and retained by tumor cells. Those tumor-specific functions also enable Lipiodol to act as an imaging biomarker for the therapeutic efficacy of cTACE. Together with volumetric quantification of tumor vascularization on CT, Lipiodol could be used as a predictor of a patient's response to cTACE and contribute to the therapeutic management of patients with liver cancer.
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17
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Automated Volumetric Assessment of Hepatocellular Carcinoma Response to Sorafenib: A Pilot Study. J Comput Assist Tomogr 2019; 43:499-506. [PMID: 31082956 DOI: 10.1097/rct.0000000000000866] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE This pilot study evaluates the feasibility of automated volumetric quantification of hepatocellular carcinoma (HCC) as an imaging biomarker to assess treatment response for sorafenib. METHODS In this institutional review board-approved, Health Insurance Portability and Accountability Act-compliant retrospective study, a training database of manually labeled background liver, enhancing and nonenhancing tumor tissue was established using pretherapy and first posttherapy multiphasic computed tomography images from a registry of 13 HCC patients. For each patient, Hounsfield density and geometry-based feature images were generated from registered multiphasic computed tomography data sets and used as the input for a random forest-based classifier of enhancing and nonenhancing tumor tissue. Leave-one-out cross-validation of the dice similarity measure was applied to quantify the classifier accuracy. A Cox regression model was used to confirm volume changes as predictors of time to progression (TTP) of target lesions for both manual and automatic methods. RESULTS When compared with manual labels, an overall classification accuracy of dice similarity coefficient of 0.71 for pretherapy and 0.66 posttherapy enhancing tumor labels and 0.45 for pretherapy and 0.59 for posttherapy nonenhancing tumor labels was observed. Automated methods for quantifying volumetric changes in the enhancing lesion agreed with manual methods and were observed as a significant predictor of TTP. CONCLUSIONS Automated volumetric analysis was determined to be feasible for monitoring HCC response to treatment. The information extracted using automated volumetrics is likely to reproduce labor-intensive manual data and provide a good predictor for TTP. Further work will extend these studies to additional treatment modalities and larger patient populations.
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18
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Degrauwe N, Hocquelet A, Digklia A, Schaefer N, Denys A, Duran R. Theranostics in Interventional Oncology: Versatile Carriers for Diagnosis and Targeted Image-Guided Minimally Invasive Procedures. Front Pharmacol 2019; 10:450. [PMID: 31143114 PMCID: PMC6521126 DOI: 10.3389/fphar.2019.00450] [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] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Accepted: 04/08/2019] [Indexed: 12/12/2022] Open
Abstract
We are continuously progressing in our understanding of cancer and other diseases and learned how they can be heterogeneous among patients. Therefore, there is an increasing need for accurate characterization of diseases at the molecular level. In parallel, medical imaging and image-guided therapies are rapidly developing fields with new interventions and procedures entering constantly in clinical practice. Theranostics, a relatively new branch of medicine, refers to procedures combining diagnosis and treatment, often based on patient and disease-specific features or molecular markers. Interventional oncology which is at the convergence point of diagnosis and treatment employs several methods related to theranostics to provide minimally invasive procedures tailored to the patient characteristics. The aim is to develop more personalized procedures able to identify cancer cells, selectively reach and treat them, and to assess drug delivery and uptake in real-time in order to perform adjustments in the treatment being delivered based on obtained procedure feedback and ultimately predict response. Here, we review several interventional oncology procedures referring to the field of theranostics, and describe innovative methods that are under development as well as future directions in the field.
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Affiliation(s)
- Nils Degrauwe
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Arnaud Hocquelet
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Antonia Digklia
- Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Niklaus Schaefer
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Alban Denys
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Rafael Duran
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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19
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Yang Z, Zou R, Zheng Y, Qiu J, Shen J, Liao Y, Zhang Y, Wang C, Wang Y, Yuan Y, Li K, Zuo D, He W, Liu W, Li B, Yuan Y. Lipiodol deposition in portal vein tumour thrombus predicts treatment outcome in HCC patients after transarterial chemoembolisation. Eur Radiol 2019; 29:5752-5762. [PMID: 30993438 DOI: 10.1007/s00330-019-06157-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Revised: 02/22/2019] [Accepted: 03/12/2019] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To study lipiodol deposition in portal vein tumour thrombus (PVTT) in predicting the treatment outcome of hepatocellular carcinoma (HCC) patients after transarterial chemoembolisation (TACE). METHODS We retrospectively reviewed data from 379 HCC patients with PVTT who underwent TACE as the initial treatment at Sun Yat-Sen University Cancer Center from January 2008 to December 2015. Patients were grouped by positive and negative lipiodol deposition based on the extent of lipiodol deposition in PVTT. The overall survival (OS) and progression-free survival (PFS) were compared between negative and positive lipiodol deposition groups; furthermore, the value of the combinatorial evaluation of tumour responses and lipiodol deposition in PVTT in predicting prognosis was analysed in subgroup patients with stable disease (SD) after TACE. RESULTS Of the 379 patients, 264 (69.7%) had negative and 115 (30.3%) had positive lipiodol deposition in PVTT after TACE. Multivariate analysis identified positive lipiodol deposition in PVTT as an independent prognostic factor for favourable OS (p = 0.001). The median OS and PFS of negative and positive lipiodol deposition groups were 4.70 vs. 8.97 months (p = 0.001) and 3.1 months vs. 5.8 months (p < 0.001). In subgroup patients, the median OS and PFS of negative and positive lipiodol deposition groups were 4.7 months vs. 10.5 months (p < 0.001) and 3.5 months vs. 7.0 months (p < 0.001), respectively. CONCLUSIONS The patients with positive lipiodol deposition in PVTT had a longer OS than those with negative lipiodol deposition. Furthermore, the positive lipiodol deposition in PVTT can further differentiate HCC patients with favourable prognosis from SD patients. KEY POINTS • Lipiodol deposition in PVTT is a prognostic indicator for HCC patients after TACE treatment. • Positive lipiodol deposition in PVTT is associated with a better prognosis.
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Affiliation(s)
- Zhiwen Yang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.,Department of Hepatobiliary Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Ruhai Zou
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.,Department of Ultrasound, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yun Zheng
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.,Department of Hepatobiliary Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Jiliang Qiu
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.,Department of Hepatobiliary Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Jingxian Shen
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.,Department of Medical Imaging, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yadi Liao
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.,Department of Hepatobiliary Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yuanping Zhang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.,Department of Hepatobiliary Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Chenwei Wang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.,Department of Hepatobiliary Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yongjin Wang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.,Department of Hepatobiliary Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yichuan Yuan
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.,Department of Hepatobiliary Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Kai Li
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.,Department of Hepatobiliary Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Dinglan Zuo
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Wei He
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.,Department of Hepatobiliary Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Wenwu Liu
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.,Department of Hepatobiliary Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Binkui Li
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.,Department of Hepatobiliary Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yunfei Yuan
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China. .,Department of Hepatobiliary Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
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20
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Kang Z, Wang N, Xu A, Wang L. Digital subtract angiography and lipiodol deposits following embolization in cirrhotic nodules of LIRADS category ≥3. Eur J Radiol Open 2019; 6:106-112. [PMID: 30899770 PMCID: PMC6405901 DOI: 10.1016/j.ejro.2019.02.005] [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: 10/17/2018] [Revised: 01/01/2019] [Accepted: 02/09/2019] [Indexed: 10/27/2022] Open
Abstract
PURPOSE To assess the correlation between Liver Imaging Reporting and Data System (LIRADS) and digital substract angiography (DSA) and lipiodol deposits in cirrhotic nodules of LIRADS category ≥3 receiving interventional treatment. METHODS From June 2014 to June 2016, patients with cirrhotic nodules were identified retrospectively and MR images were reviewed by sub-specialty radiologists according to modified LIRADS v2014. Correlation between nodules of LIRADS category ≥3 and DSA findings and lipiodol deposits were analyzed. RESULTS 71 cirrhotic nodules were evaluated in 33 patients. 39/71 nodules were classified as LR-3, 9/71 nodules were categorized as LR-4, 23/71 nodules were grouped into LR-5. 43 nodules presented positive DSA, 37 nodules showed presence of lipiodol deposits during follow up. With the upgrade of LIRADS category of cirrhotic nodules, DSA and lipiodol deposits became more conspicuous. Spearman analysis demonstrated positive correlations between LIRADS and DSA (r = 0.567, P = 0.000) as well as LIRADS and lipiodol deposits (r = 0.616, P = 0.000). ROC analysis revealed a cut-off value of LR ≥ 4 resulted in a sensitivity of 67.4% and specificity of 89.3% in predicting positive DSA (RUC = 0.799, P < 0.0001), and a sensitivity of 75.7% and specificity of 88.2% in predicting lipiodol deposits (RUC = 0.818, P < 0.0001). Of 39 lesions of LR-3, 64.1% (25/39) showed negative DSA, and 76.9% (30/39) showed absence of lipiodol deposits during follow up. Logistic regression analysis identified arterial enhancement (OR = 26.837, P = 0.002) and lesion size (OR = 1.325, P = 0.022) were independently associated with positive DSA in nodule of LIRADS category ≥3, while no factors were associated with lipiodol deposits. CONCLUSION The LIRADS can be used to predict DSA findings and lipiodol deposits in nodules with LIRADS score 3 and above. LIRADS 3 nodules tend to be DSA-negative and have less lipiodol deposits. DSA and lipiodol deposits become more conspicuous in nodules from LIRADS 3 to 5.
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Key Words
- BCLC, Barcelona Clinic Liver Cancer
- DN, dysplastic nodules
- DSA, digital subtract angiography
- DWI, diffusion weighted imaging
- Digital substract angiography
- HCC, hepatocellular carcinoma
- LIRADS, Liver Imaging Reporting and Data System
- LR-M, probably or definitely malignant but not specific for HCC
- Lipiodol deposits
- Liver imaging reporting and data system
- PACS, picture archiving and communication system
- PWI, perfusion weighted imaging
- RIS, radiology information system
- RN, regenerative nodules
- T1WI, T1 weighted imaging
- T2WI, T2 weighted imaging
- TACE, transcatheter arterial chemoembolization
- TAE, transcatheter arterial embolization
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21
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Planz VB, Lubner MG, Pickhardt PJ. Volumetric analysis at abdominal CT: oncologic and non-oncologic applications. Br J Radiol 2018; 92:20180631. [PMID: 30457881 DOI: 10.1259/bjr.20180631] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Volumetric analysis is an objective three-dimensional assessment of a lesion or organ that may more accurately depict the burden of complex objects compared to traditional linear size measurement. Small changes in linear size are amplified by corresponding changes in volume, which could have significant clinical implications. Though early methods of calculating volumes were time-consuming and laborious, multiple software platforms are now available with varying degrees of user-software interaction ranging from manual to fully automated. For the assessment of primary malignancy and metastatic disease, volumetric measurements have shown utility in the evaluation of disease burden prior to and following therapy in a variety of cancers. Additionally, volume can be useful in treatment planning prior to resection or locoregional therapies, particularly for hepatic tumours. The utility of CT volumetry in a wide spectrum of non-oncologic pathology has also been described. While clear advantages exist in certain applications, some data have shown that volume is not always the superior method of size assessment and the associated labor intensity may not be worthwhile. Further, lack of uniformity among software platforms is a challenge to widespread implementation. This review will discuss CT volumetry and its potential oncologic and non-oncologic applications in abdominal imaging, as well as advantages and limitations to this quantitative technique.
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Affiliation(s)
| | | | - Perry J Pickhardt
- 1 Department of Radiology, The University of Wisconsin School of Medicine & Public Health , Madison, WI , USA
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22
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Liu FY, Li X, Yuan HJ, Guan Y, Wang MQ. Angio-Computed Tomograph-Guided Immediate Lipiodol Computed Tomograph for Diagnosis of Small Hepatocellular Carcinoma Lesions during Transarterial Chemoembolization. Chin Med J (Engl) 2018; 131:2410-2416. [PMID: 30334525 PMCID: PMC6202594 DOI: 10.4103/0366-6999.243554] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND The diagnosis and treatment of small hepatocellular carcinoma (HCC) play a vital role in the prognosis of patients with HCC. The purpose of our study was to evaluate angio-computed tomography (angio-CT)-guided immediate lipiodol CT (a CT scan performed immediately after transarterial chemoembolization [TACE]) in the diagnosis of potential HCCs ≤1 cm in diameter. METHODS This study retrospectively analyzed 31 patients diagnosed with HCCs after routine imaging (contrast-enhanced CT or magnetic resonance imaging) or pathologic examinations with undefined or undetermined tumor lesions (diameter ≤1 cm) from February 2016 to September 2016. After TACE guided by digital subtraction angiography of the angio-CT system, potential HCC lesions with a diameter ≤1 cm were diagnosed by immediate lipiodol CT. The number of well-demarcated lesions was recorded to calculate the true positive rate. The correlation between the number of small HCCs detected by immediate lipiodol CT and the size of HCC lesions (diameter >1 cm) diagnosed preoperatively was analyzed 1 month after TACE. A paired t-test was used to analyze differences in liver function. Pearson analysis was used to analyze correlation. Chi-square test was used to compare the rates. RESULTS Fifty-eight lesions were detected on preoperative routine imaging examinations in 31 patients including 15 lesions with a diameter ≤1 cm. Ninety-one lesions were detected on immediate lipiodol CT, of which 48 had a diameter ≤1 cm. After 1 month, CT showed that 45 lesions had lipiodol deposition and three lesions had lipiodol clearance. Correlation analysis showed that the number of small HCCs detected by lipiodol CT was positively correlated with the size of HCC lesions diagnosed by conventional imaging examination (R2 = 0.54, P < 0.05). CONCLUSION Immediate lipiodol CT may be a useful tool in the diagnosis of potential HCC lesions with a diameter of ≤1 cm.
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Affiliation(s)
- Feng-Yong Liu
- Department of Interventional Radiology, Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - Xin Li
- Department of Interventional Radiology, Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - Hong-Jun Yuan
- Department of Interventional Radiology, Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - Yang Guan
- Department of Interventional Radiology, Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - Mao-Qiang Wang
- Department of Interventional Radiology, Chinese People's Liberation Army General Hospital, Beijing 100853, China
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23
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Ippolito D, Querques G, Okolicsanyi S, Talei Franzesi C, Pecorelli A, Lombardi S, Orsini E, Strazzabosco M, Sironi S. Dynamic contrast enhanced perfusion CT imaging: A diagnostic biomarker tool for survival prediction of tumour response to antiangiogenetic treatment in patients with advanced HCC lesions. Eur J Radiol 2018; 106:62-68. [PMID: 30150052 DOI: 10.1016/j.ejrad.2018.07.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 05/24/2018] [Accepted: 07/12/2018] [Indexed: 02/08/2023]
Abstract
PURPOSE To investigate whether perfusion-CT (p-CT) imaging could depict the inhibition of tumor neoangiogenesis induced by Sorafenib in advanced hepatocellular carcinoma (HCC), and whether it could be useful in predicting survival during treatment. MATERIALS AND METHODS Ninety-eight p-CT examinations were performed among 29 cirrhotic patients, with advanced HCC, before and every 2 months after Sorafenib administration, on a 256-slice MDCT scanner. Perfusion parameters were considered and statistically compared, at baseline and follow-up, between non-progressor (complete response, stable disease or partial response) and progressor (progressive disease) group. Kaplan-Meier analyses estimated the time-to-survival in overall population, after stratifying patients according to mRECIST. RESULTS The group that responded to Sorafenib showed a significant reduction of values in HCC target lesions after anti-angiogenic therapy (p < 0.01), in comparison with progressor group that demonstrated an increase or no significant variation. When patients were stratified into mRECIST, higher survival rate was observed in the non-progressor group compared to the progressor (48.6% vs 28.6%), and statistically significant correlation (p=0.01) was found between percentage variation of perfusion parameters, from baseline to follow-up, and overall survival rate. CONCLUSION Quantitative analysis of perfusion parameters, represents prognostic indicators useful in assessment of response to anti-angiogenic therapy, allowing for optimization of individualized treatment.
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Affiliation(s)
- Davide Ippolito
- School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, H. S. Gerardo, Monza MB, Italy.
| | - Giulia Querques
- School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, H. S. Gerardo, Monza MB, Italy
| | - Stefano Okolicsanyi
- School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Surgery and Interdisciplinary Medicine, University of Milano-Bicocca, Milan, Italy
| | - Cammillo Talei Franzesi
- School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, H. S. Gerardo, Monza MB, Italy
| | - Anna Pecorelli
- School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, H. Papa Giovanni XXIII, Piazza OMS 1, 24127, Bergamo BG, Italy
| | - Sophie Lombardi
- School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, H. S. Gerardo, Monza MB, Italy
| | - Eleonora Orsini
- School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, H. S. Gerardo, Monza MB, Italy
| | - Mario Strazzabosco
- School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Surgery and Interdisciplinary Medicine, University of Milano-Bicocca, Milan, Italy; Liver Center Section of Digestive Diseases, Yale University, New Haven, CT, USA
| | - Sandro Sironi
- School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Diagnostic Radiology, H. Papa Giovanni XXIII, Piazza OMS 1, 24127, Bergamo BG, Italy
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24
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Vande Lune P, Abdel Aal AK, Klimkowski S, Zarzour JG, Gunn AJ. Hepatocellular Carcinoma: Diagnosis, Treatment Algorithms, and Imaging Appearance after Transarterial Chemoembolization. J Clin Transl Hepatol 2018; 6:175-188. [PMID: 29951363 PMCID: PMC6018317 DOI: 10.14218/jcth.2017.00045] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Revised: 11/02/2017] [Accepted: 12/02/2017] [Indexed: 02/07/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is a common cause of cancer-related death, with incidence increasing worldwide. Unfortunately, the overall prognosis for patients with HCC is poor and many patients present with advanced stages of disease that preclude curative therapies. Diagnostic and interventional radiologists play a key role in the management of patients with HCC. Diagnostic radiologists can use contrast-enhanced computed tomography (CT), magnetic resonance imaging, and ultrasound to diagnose and stage HCC, without the need for pathologic confirmation, by following established criteria. Once staged, the interventional radiologist can treat the appropriate patients with percutaneous ablation, transarterial chemoembolization, or radioembolization. Follow-up imaging after these liver-directed therapies for HCC can be characterized according to various radiologic response criteria; although, enhancement-based criteria, such as European Association for the Study of the Liver and modified Response Evaluation Criteria in Solid Tumors, are more reflective of treatment effect in HCC. Newer imaging technologies like volumetric analysis, dual-energy CT, cone beam CT and perfusion CT may provide additional benefits for patients with HCC.
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Affiliation(s)
- Patrick Vande Lune
- University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA
| | - Ahmed K. Abdel Aal
- Division of Vascular and Interventional Radiology, Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Sergio Klimkowski
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jessica G. Zarzour
- Division of Abdominal Imaging, Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Andrew J. Gunn
- Division of Vascular and Interventional Radiology, Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
- *Correspondence to: Andrew J. Gunn, Division of Vascular and Interventional Radiology, Department of Radiology, University of Alabama at Birmingham, 619 19 St S, NHB 623, Birmingham, AL 35249, USA. Tel: +1-205-975-4850, Fax: +1-205-975-5257, E-mail:
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25
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de Korompay N, Alshammari M, Klass D, Chou FY, Chung J, Ho S, Liu DM. Intraprocedural Parenchymal Blood Volume Is a Predictor of Treatment Response for Chemoembolization in Hepatocellular Carcinoma: Results of a Prospective Study. J Vasc Interv Radiol 2018; 29:928-935. [PMID: 29752139 DOI: 10.1016/j.jvir.2018.01.783] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Revised: 01/17/2018] [Accepted: 01/24/2018] [Indexed: 12/13/2022] Open
Abstract
PURPOSE To evaluate cone-beam parenchymal blood volume (PBV) before and after embolization as a predictor of radiographic response to transarterial chemoembolization in unresectable hepatocellular carcinoma (HCC). MATERIALS AND METHODS A phase IIa prospective clinical trial was conducted in patients with HCCs > 1.5 cm undergoing chemoembolization; 52 tumors in 40 patients with Barcelona Clinic Liver Criteria stage B disease met inclusion criteria. Pre- and postembolization PBV analysis was performed with a semiquantitative best-fit methodology for index tumors, with a predefined primary endpoint of radiographic response at 3 months. Analyses were conducted with Wilcoxon signed-rank tests and one-way analysis of variance on ranks. RESULTS Mean tumoral PBV measurements before and after embolization were 170 mL/1,000 mL ± 120 and 0 mL/100 mL ± 130, respectively. Per modified Response Evaluation Criteria In Solid Tumors, 25 tumors (48%) exhibited complete response (CR), 13 (25%) partial response (PR), 3 (6%) stable disease (SD), and 11 (21%) progressive disease (PD). Statistically significant changes in median PBV (ΔPBV) were identified in the CR (P = .001) and PR (P = .003) groups, with no significant difference observed in SD (P = .30) and PD groups (P = .06). A statistically significant correlation between ΔPBV and tumor response was established by one-way analysis of variance on ranks (P = .036; CR, 200 mL/100 mL ± 99; PR, 240 mL/100 mL ± 370; SD, 64 mL/100 mL ± 99; PD, 88 mL/100 mL ± 129). CONCLUSIONS Intraprocedural PBV can be used as a predictor of response in index HCC tumors of > 1.5 cm.
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Affiliation(s)
- Nevin de Korompay
- Interventional Radiology Section, Department of Radiology, Kelowna General Hospital, Kelowna, British Columbia, Canada
| | - Mohammed Alshammari
- Interventional Radiology Unit, Department of Radiology and Nuclear Medicine, Security Forces Hospital Program, Riyadh, Saudi Arabia
| | - Darren Klass
- Interventional Radiology Section, Department of Radiology, Vancouver Imaging, Vancouver General Hospital, University of British Columbia, 855 W 12th Ave, Vancouver, BC V5Z 1M9, Canada
| | - Frank Y Chou
- Interventional Radiology Section, Department of Radiology, Vancouver Imaging, Vancouver General Hospital, University of British Columbia, 855 W 12th Ave, Vancouver, BC V5Z 1M9, Canada
| | - John Chung
- Interventional Radiology Section, Department of Radiology, Vancouver Imaging, Vancouver General Hospital, University of British Columbia, 855 W 12th Ave, Vancouver, BC V5Z 1M9, Canada
| | - Stephen Ho
- Interventional Radiology Section, Department of Radiology, Vancouver Imaging, Vancouver General Hospital, University of British Columbia, 855 W 12th Ave, Vancouver, BC V5Z 1M9, Canada
| | - David M Liu
- Interventional Radiology Section, Department of Radiology, Vancouver Imaging, Vancouver General Hospital, University of British Columbia, 855 W 12th Ave, Vancouver, BC V5Z 1M9, Canada.
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Najmi Varzaneh F, Pandey A, Aliyari Ghasabeh M, Shao N, Khoshpouri P, Pandey P, Zarghampour M, Fouladi D, Liddell R, Anders RA, Kamel IR. Prediction of post-TACE necrosis of hepatocellular carcinoma usingvolumetric enhancement on MRI and volumetric oil deposition on CT, with pathological correlation. Eur Radiol 2018; 28:3032-3040. [PMID: 29383518 DOI: 10.1007/s00330-017-5198-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 11/10/2017] [Accepted: 11/16/2017] [Indexed: 01/15/2023]
Abstract
OBJECTIVE To investigate whether volumetric enhancement on baseline MRI and volumetric oil deposition on unenhanced CT would predict HCC necrosis and response post-TACE. METHOD Of 115 retrospective HCC patients (173 lesions) who underwent cTACE, a subset of 53 HCC patients underwent liver transplant (LT). Semiautomatic volumetric segmentation of target lesions was performed on dual imaging to assess the accuracy of predicting tumour necrosis after TACE in the whole cohort and at pathology in the LT group. Predicted percentage tumour necrosis is defined as 100 % - (%baseline MRI enhancement - %CT oil deposition). RESULTS Mean predicted tumour necrosis by dual imaging modalities was 61.5 % ± 31.6%; mean percentage tumour necrosis on follow-up MRI was 63.8 % ± 31.5 %. In the LT group, mean predicted tumour necrosis by dual imaging modalities was 77.6 % ± 27.2 %; mean percentage necrosis at pathology was 78.7 % ± 31.5 %. There was a strong significant correlation between predicted tumour necrosis and volumetric necrosis on MRI follow-up (r = 0.889, p<0.001) and between predicted tumour necrosis and pathological necrosis (r = 0.871, p<0.001). CONCLUSION Volumetric pre-TACE enhancement on MRI and post-TACE oil deposition in CT may accurately predict necrosis in treated HCC lesions. KEY POINTS • Imaging-based tumour response can assist in therapeutic decisions. • Lipiodol retention as carrier agent in cTACE is a tumour necrosis biomarker. • Predicting tumour necrosis with dual imaging potentially obviates immediate post-treatment MRI. • Predicting tumour necrosis would facilitate further therapeutic decisions in HCC post-cTACE. • Pre-TACE MRI and post-TACE CT predict necrosis in treated HCC.
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Affiliation(s)
- Farnaz Najmi Varzaneh
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 North Wolfe Street, MRI 143, Baltimore, MD, 21287, USA
| | - Ankur Pandey
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 North Wolfe Street, MRI 143, Baltimore, MD, 21287, USA
| | - Mounes Aliyari Ghasabeh
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 North Wolfe Street, MRI 143, Baltimore, MD, 21287, USA
| | - Nannan Shao
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 North Wolfe Street, MRI 143, Baltimore, MD, 21287, USA
| | - Pegah Khoshpouri
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 North Wolfe Street, MRI 143, Baltimore, MD, 21287, USA
| | - Pallavi Pandey
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 North Wolfe Street, MRI 143, Baltimore, MD, 21287, USA
| | - Manijeh Zarghampour
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 North Wolfe Street, MRI 143, Baltimore, MD, 21287, USA
| | - Daniel Fouladi
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 North Wolfe Street, MRI 143, Baltimore, MD, 21287, USA
| | - Robert Liddell
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 North Wolfe Street, MRI 143, Baltimore, MD, 21287, USA
| | - Robert Albert Anders
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Ihab R Kamel
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 North Wolfe Street, MRI 143, Baltimore, MD, 21287, USA.
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Wang J, Shen JL. Spectral CT in evaluating the therapeutic effect of transarterial chemoembolization for hepatocellular carcinoma: A retrospective study. Medicine (Baltimore) 2017; 96:e9236. [PMID: 29384909 PMCID: PMC6393018 DOI: 10.1097/md.0000000000009236] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
This study aimed to investigate the value of computed tomographic (CT) spectral imaging in evaluating the effect of transarterial chemoembolization (TACE).The records of 67 patients with hepatocellular carcinoma (HCC) who had undergone dynamic spectral CT before treatment were selected for the study. Iodine concentrations pretreatment in liver parenchyma, the HCC lesion(s), portal vein, and aorta were measured from the decomposition images. The normalized iodine concentrations (NIC) were calculated. All of them underwent plain scan or contrast-enhanced CT post-treatment (approximately 4-6 weeks after TACE).The values of arterial phase normalized iodine concentrations (AP NIC) before TACE correlated with the grades of lipiodol deposition in tumors (r = 0.76, P < .001). However, there was no relationship between normalized iodine concentrations in the portal venous phase (PVP NIC) before TACE and the grade of lipiodol deposition (r = 0.17, P = .17). Values of AP NIC in residual tumors pre-TACE were significantly lower than those in partial lesions with deposition of iodized oil. The threshold AP NIC of 0.18 yielded an AUC of 0.895, 83.33% sensitivity, 81.03% specificity, 83.33% positive predictive value (PPV), and 82.76% negative predictive value, respectively. The survival probability in patients with AP NIC values pre-TACE ≥ 0.18 was higher than those whose AP NIC values pre-TACE were < 0.18 (P = .028).Spectral CT with quantitative analysis of AP NIC may help to evaluate the utility and predict the therapeutic effect of TACE. Values of AP NIC had high sensitivity and specificity for differentiating partial tumors with lipiodol deposition from those without lipiodol deposition.
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Prognostic Factors of Hearing Outcome in Untreated Vestibular Schwannomas: Implication of Subdivision of Their Growth by Volumetric Analysis. World Neurosurg 2017; 106:768-774. [DOI: 10.1016/j.wneu.2017.07.051] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2017] [Revised: 07/08/2017] [Accepted: 07/11/2017] [Indexed: 11/23/2022]
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Huang D, Chen Y, Chen S, Zeng Q, Zhao J, Wu R, Li Y. TACE plus percutaneous chemotherapy-lipiodol treatment of unresectable pedunculated hepatocellular carcinoma. Medicine (Baltimore) 2017; 96:e7650. [PMID: 28746230 PMCID: PMC5627856 DOI: 10.1097/md.0000000000007650] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 07/04/2017] [Accepted: 07/11/2017] [Indexed: 02/07/2023] Open
Abstract
Pedunculated hepatocellular carcinoma (P-HCC) is rare type of HCC. The study aimed to evaluate the clinical features and outcomes of unresectable P-HCC treated with transcatheter arterial chemoembolization (TACE) and percutaneous chemotherapeutic agents lipiodol emulsion (CALE) injection. The clinical features and outcomes of 25 patients with unresectable P-HCC treated with TACE plus percutaneous CALE injection were retrospectively reviewed, and factors associated with outcomes were analyzed. Comparison with nonpedunculated unresectable HCC was also performed. Patients underwent a median of 4 TACE sessions and received a median of 2 percutaneous CALE injections. The 1-, 2-, 3-, and 5-year actuarial survival rates were 78.9%, 52.6%, 42.1%, and 12.0%, respectively, for patients with P-HCC, and median survival was 27 months (95% confidence interval, 22.6-43.2 months). Patients with P-HCC had better overall survival than those with nonpedunculated HCC (NP-HCC) (P = .002). Vascular invasion and abdominal lymph node metastasis were poor prognostic factors for overall survival in patients with P-HCC. TACE plus percutaneous CALE injection is a safe and effective treatment for unresectable P-HCC. Patients with unresectable P-HCC might have better overall survival than those with NP-HCC after TACE plus percutaneous CALE injection. However, their prognosis remains poor.
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Affiliation(s)
- Dexiao Huang
- Department of Medical Imaging, The 2nd Affiliated Hospital of Shantou University Medical College, Shantou
- Department of Interventional Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, PR China
| | - Yong Chen
- Department of Interventional Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, PR China
| | - Shuo Chen
- Department of Medical Imaging, The 2nd Affiliated Hospital of Shantou University Medical College, Shantou
| | - Qingle Zeng
- Department of Interventional Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, PR China
| | - Jianbo Zhao
- Department of Interventional Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, PR China
| | - Renhua Wu
- Department of Medical Imaging, The 2nd Affiliated Hospital of Shantou University Medical College, Shantou
| | - Yanhao Li
- Department of Interventional Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, PR China
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Zheng L, Guo CY, Chen CS, Xiao JC, Hu HT, Cheng HT, Zong DW, Jiang L, Li HL. Sorafenib improves lipiodol deposition in transarterial chemoembolization of Chinese patients with hepatocellular carcinoma: a long-term, retrospective study. Oncotarget 2017; 8:97613-97622. [PMID: 29228637 PMCID: PMC5722589 DOI: 10.18632/oncotarget.18811] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2016] [Accepted: 06/08/2017] [Indexed: 01/27/2023] Open
Abstract
Objective Though synergy of sorafenib and transarterial chemoembolization (TACE) in hepatocellular carcinoma (HCC) is well discussed in previous reports, association of lipiodol retention by sorafenib addition to TACE with the survival outcomes remain elusive. Therefore, we studied the impact of sorafenib addition to TACE on survival outcomes mediated by lipiodol retention. Materials and Methods This is a long-term, retrospective, single-center study using medical records of patients diagnosed with HCC at the Department of Interventional Radiology of Zhengzhou University Affiliated Cancer Hospital (China) between April 2004 and March 2012. Results Lipiodol deposition of > 50% was significantly increased in TACE + sorafenib group (70.87%) compared to TACE alone group (45.11%) (P = 0.0001). Significant increase in lipiodol deposition with sorafenib treatment was observed compared to TACE alone group (OR = 0.449, P = 0.041). The median overall survival in TACE + sorafenib and TACE alone groups were 38 months [95% CI = 9.772-56.228] and 31 months [95% CI = 21.855-40.145] respectively. Also, the hazard of death was comparatively greater in TACE alone group than TACE + sorafenib group [HR = 1.071]. Response rate to the therapy significantly increased after sorafenib administration to TACE patients, [compared to TACE alone treatment [69/103 (66.99%)] vs 55/133 (41.35%)], P = 0.0001. Conclusions Lipiodol deposition is significantly increased upon sorafenib addition after TACE. However, there was no significant impact of lipiodol deposition on the survival benefits exerted by the synergistic combination and hence, future prospective trails are warranted to validate the findings of this study.
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Affiliation(s)
- Lin Zheng
- Department of Radiology, Zhengzhou University Affiliated Cancer Hospital, Zhengzhou 450008, China
| | - Chen-Yang Guo
- Department of Radiology, Zhengzhou University Affiliated Cancer Hospital, Zhengzhou 450008, China
| | - Cheng-Shi Chen
- Department of Radiology, Zhengzhou University Affiliated Cancer Hospital, Zhengzhou 450008, China
| | - Jin-Cheng Xiao
- Department of Radiology, Zhengzhou University Affiliated Cancer Hospital, Zhengzhou 450008, China
| | - Hong-Tao Hu
- Department of Radiology, Zhengzhou University Affiliated Cancer Hospital, Zhengzhou 450008, China
| | - Hong-Tao Cheng
- Department of Radiology, Zhengzhou University Affiliated Cancer Hospital, Zhengzhou 450008, China
| | - Deng-Wei Zong
- Department of Radiology, Zhengzhou University Affiliated Cancer Hospital, Zhengzhou 450008, China
| | - Li Jiang
- Department of Radiology, Zhengzhou University Affiliated Cancer Hospital, Zhengzhou 450008, China
| | - Hai-Liang Li
- Department of Radiology, Zhengzhou University Affiliated Cancer Hospital, Zhengzhou 450008, China
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Stroehl YW, Letzen BS, van Breugel JMM, Geschwind JF, Chapiro J. Intra-arterial therapies for liver cancer: assessing tumor response. Expert Rev Anticancer Ther 2016; 17:119-127. [PMID: 27983883 DOI: 10.1080/14737140.2017.1273775] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
INTRODUCTION Intra-arterial therapies (IATs) play an integral role in the management of unresectable hepatocellular carcinoma and liver metastases. The ability to accurately assess tumor response to intra-arterial therapies is crucial for clinical management. Several one- and two-dimensional manual imaging-based response assessment techniques, based both on tumor size or enhancement, have shown to be highly subjective and merely surrogate for the actual tumor as a whole. Areas covered: Given the currently existing literature, we will discuss all available tumor assessment techniques and criteria for liver cancer with a strong emphasis on 3D quantitative imaging biomarkers of tumor response in this review. Expert commentary: The growing role of information technology in medicine has brought about the advent of software-assisted, segmentation-based assessment techniques that address the outstanding issues of a subjective reader and provide for more accurate assessment techniques for the locally treated lesions. Three-dimensional quantitative tumor assessment techniques are superior to one- and two-dimensional measurements. This allows for treatment alterations and more precise targeting, potentially resulting in improved patient outcome.
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Affiliation(s)
- Yasmin W Stroehl
- a Department of Diagnostic and Interventional Radiology , Charité , Berlin , Germany.,b Department of Radiology and Biomedical Imaging , Yale School of Medicine , New Haven , CT , USA
| | - Brian S Letzen
- b Department of Radiology and Biomedical Imaging , Yale School of Medicine , New Haven , CT , USA
| | - Johanna M M van Breugel
- b Department of Radiology and Biomedical Imaging , Yale School of Medicine , New Haven , CT , USA
| | - Jean-Francois Geschwind
- b Department of Radiology and Biomedical Imaging , Yale School of Medicine , New Haven , CT , USA
| | - Julius Chapiro
- b Department of Radiology and Biomedical Imaging , Yale School of Medicine , New Haven , CT , USA
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Dreizin D, Bodanapally UK, Neerchal N, Tirada N, Patlas M, Herskovits E. Volumetric analysis of pelvic hematomas after blunt trauma using semi-automated seeded region growing segmentation: a method validation study. Abdom Radiol (NY) 2016; 41:2203-2208. [PMID: 27349420 DOI: 10.1007/s00261-016-0822-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE Manually segmented traumatic pelvic hematoma volumes are strongly predictive of active bleeding at conventional angiography, but the method is time intensive, limiting its clinical applicability. We compared volumetric analysis using semi-automated region growing segmentation to manual segmentation and diameter-based size estimates in patients with pelvic hematomas after blunt pelvic trauma. MATERIALS AND METHODS A 14-patient cohort was selected in an anonymous randomized fashion from a dataset of patients with pelvic binders at MDCT, collected retrospectively as part of a HIPAA-compliant IRB-approved study from January 2008 to December 2013. To evaluate intermethod differences, one reader (R1) performed three volume measurements using the manual technique and three volume measurements using the semi-automated technique. To evaluate interobserver differences for semi-automated segmentation, a second reader (R2) performed three semi-automated measurements. One-way analysis of variance was used to compare differences in mean volumes. Time effort was also compared. Correlation between the two methods as well as two shorthand appraisals (greatest diameter, and the ABC/2 method for estimating ellipsoid volumes) was assessed with Spearman's rho (r). RESULTS Intraobserver variability was lower for semi-automated compared to manual segmentation, with standard deviations ranging between ±5-32 mL and ±17-84 mL, respectively (p = 0.0003). There was no significant difference in mean volumes between the two readers' semi-automated measurements (p = 0.83); however, means were lower for the semi-automated compared with the manual technique (manual: mean and SD 309.6 ± 139 mL; R1 semi-auto: 229.6 ± 88.2 mL, p = 0.004; R2 semi-auto: 243.79 ± 99.7 mL, p = 0.021). Despite differences in means, the correlation between the two methods was very strong and highly significant (r = 0.91, p < 0.001). Correlations with diameter-based methods were only moderate and nonsignificant. Mean semi-automated segmentation time effort was 2 min and 6 s and 2 min and 35 s for R1 and R2, respectively, vs. 22 min and 8 s for manual segmentation. CONCLUSION Semi-automated pelvic hematoma volumes correlate strongly with manually segmented volumes. Since semi-automated segmentation can be performed reliably and efficiently, volumetric analysis of traumatic pelvic hematomas is potentially valuable at the point-of-care.
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Affiliation(s)
- David Dreizin
- Department of Diagnostic Radiology and Nuclear Medicine, R Adams Cowley Shock Trauma Center, University of Maryland Medical Center, 22 South Greene Street, Baltimore, MD, 21201, USA.
| | - Uttam K Bodanapally
- Department of Diagnostic Radiology and Nuclear Medicine, R Adams Cowley Shock Trauma Center, University of Maryland Medical Center, 22 South Greene Street, Baltimore, MD, 21201, USA
| | - Nagaraj Neerchal
- Department of Mathematics and Statistics, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD, 21250, USA
| | - Nikki Tirada
- Department of Radiology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA
| | - Michael Patlas
- Emergency Radiology Division, Department of Radiology, Hamilton General Hospital, 237 Barton Street, East Hamilton, ON, Canada
| | - Edward Herskovits
- Department of Diagnostic Radiology and Nuclear Medicine, R Adams Cowley Shock Trauma Center, University of Maryland Medical Center, 22 South Greene Street, Baltimore, MD, 21201, USA
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Mueller K, Fahrig R, Manhart M, Deuerling-Zheng Y, Rosenberg J, Moore T, Ganguly A, Kothary N. Reproducibility of Parenchymal Blood Volume Measurements Using an Angiographic C-arm CT System. Acad Radiol 2016; 23:1441-1445. [PMID: 27745815 DOI: 10.1016/j.acra.2016.08.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2016] [Revised: 08/05/2016] [Accepted: 08/07/2016] [Indexed: 01/20/2023]
Abstract
RATIONALE AND OBJECTIVES Intra-procedural measurement of hepatic perfusion following liver embolization continues to be a challenge. Blood volume imaging before and after interventional procedures would allow identifying the treatment end point or even allow predicting treatment outcome. Recent liver oncology studies showed the feasibility of parenchymal blood volume (PBV) imaging using an angiographic C-arm system. This study was done to evaluate the reproducibility of PBV measurements using cone beam computed tomography (CBCT) before and after embolization of the liver in a swine model. MATERIALS AND METHODS CBCT imaging was performed before and after partial bland embolization of the left lobe of the liver in five adult pigs. Intra-arterial injection of iodinated contrast with a 6-second x-ray delay was used with a two-sweep 8-second rotation imaging protocol. Three acquisitions, each separated by 10 minutes to allow for contrast clearance, were obtained before and after embolization in each animal. Post-processing was carried out using dedicated software to generate three-dimensional (3D) PBV maps. Two region-of-interest measurements were placed on two views within the right and left lobe on each CBCT 3D PBV map. Variation in PBV for scans acquired within each animal was determined by the coefficient of variation and intraclass correlation. A Wilcoxon signed-rank test was used to test post-procedure reduction in PBV. RESULTS The CBCT PBV maps showed mean coefficients of variation of 7% (range: 2%-16%) and 25% (range: 13%-34%) for baseline and embolized PBV maps, respectively. The intraclass correlation for PBV measurements was 0.89, demonstrating high reproducibility, with measurable reduction in PBV displayed after embolization (P = 0.007). CONCLUSIONS Intra-procedural acquisition of 3D PBV maps before and after liver embolization using CBCT is highly reproducible and shows promising application for obtaining intra-procedural PBV maps during locoregional therapy.
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Affiliation(s)
- Kerstin Mueller
- Department of Radiology, Stanford University, 1201 Welch Road, Stanford, CA 94305.
| | - Rebecca Fahrig
- Department of Radiology, Stanford University, 1201 Welch Road, Stanford, CA 94305
| | | | | | - Jarrett Rosenberg
- Department of Radiology, Stanford University, 1201 Welch Road, Stanford, CA 94305
| | - Teri Moore
- Siemens Medical Solutions Inc., Malvern, Pennsylvania
| | - Arundhuti Ganguly
- Department of Radiology, Stanford University, 1201 Welch Road, Stanford, CA 94305
| | - Nishita Kothary
- Department of Radiology, Stanford University, 1201 Welch Road, Stanford, CA 94305; Department of Radiology, Stanford University Medical Center, Stanford, California
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Hu J, Maybody M, Cao G, Wang X, Chen H, Zhu X, Yang R, Wang X. Lipiodol retention pattern assessed by cone beam computed tomography during conventional transarterial chemoembolization of hepatocellular carcinoma: accuracy and correlation with response. Cancer Imaging 2016; 16:32. [PMID: 27716376 PMCID: PMC5048686 DOI: 10.1186/s40644-016-0090-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Accepted: 09/10/2016] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND To investigate accuracy of intraprocedural cone beam computed tomography (CBCT) compared to fluoroscopy for detection of lipiodol retention pattern during conventional transarterial chemoembolization (cTACE) of hepatocellular carcinoma (HCC) and its correlation with short-term response. METHODS Between September 2013 and July 2014, 29 patients with HCC underwent chemoembolization of 51 tumors (mean diameter 28.1 mm, range 10.0-136.3 mm). Lipiodol retention pattern was assessed by CBCT at the endpoint of cTACE compared by fluoroscopy. Depending on the pattern of tumor covered by lipiodol three classes were defined: complete (more than 90 %, no peripheral defects), moderate (50-90 %, some with or without peripheral defects), and poor (less than 50 %). Tumor response was assessed by modified Response Evaluation Criteria in Solid Tumors (mRECIST) based on follow-up contrast enhanced (CE) computed tomography (CT) or magnetic resonance imaging (MRI) obtained 4-6 weeks post-cTACE. Correlations between lipiodol retention patterns on CBCT and fluoroscopy as well as tumor response were assessed using multivariate logistic regression. RESULTS Of 51 hepatic tumors, 40 (78.4 %) had complete response (CR); 8 (15.7 %) had partial response (PR); 1 (2.0 %) had stable disease (SD); and 2 (3.9 %) had progressive disease (PD). The degree of lipiodol retention scored excellent, moderate, and poor, in fluoroscopic images vs CBCT images were 23 (45.1 %) vs 39 (76.5 %), 19 (37.3 %) vs 11 (21.6 %), and 9 (17.6 %) vs 1 (2.0 %), respectively. Lipiodol retention assessment with CBCT (Az = 0.75) is more accurate than fluoroscopy (Az = 0.54) in predicting target tumor response. Other than lipiodol retention pattern assessed with CBCT (p = 0.01), tumor size (p = 0.04) is an independent predictors of CR. CONCLUSION CBCT is more accurate than fluoroscopy in classification of lipiodol retention pattern in HCC tumors at the time of cTACE. CBCT could be used as a reliable intra precedural monitoring modality of cTACE.
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Affiliation(s)
- Jungang Hu
- Department of Interventional Radiology, Peking University Cancer Hospital & Institute, Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing, 100142, China
| | - Majid Maybody
- Department of Radiology, Interventional Radiology Service, Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, 10021, NY, USA
| | - Guang Cao
- Department of Interventional Radiology, Peking University Cancer Hospital & Institute, Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing, 100142, China
| | - Xiao Wang
- Department of Epidemiology and Biostatistics, Peking University Sixth Hospital, Beijing, 100191, China
| | - Hui Chen
- Department of Interventional Radiology, Peking University Cancer Hospital & Institute, Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing, 100142, China
| | - Xu Zhu
- Department of Interventional Radiology, Peking University Cancer Hospital & Institute, Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing, 100142, China
| | - Renjie Yang
- Department of Interventional Radiology, Peking University Cancer Hospital & Institute, Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing, 100142, China
| | - Xiaodong Wang
- Department of Interventional Radiology, Peking University Cancer Hospital & Institute, Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing, 100142, China.
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Limitation of Virtual Noncontrasted Images in Evaluation of a Liver Lesion Status Post Transarterial Chemoembolization. J Comput Assist Tomogr 2016; 40:557-9. [PMID: 27023858 DOI: 10.1097/rct.0000000000000411] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
The authors describe a case of a patient with a solitary hepatocellular carcinoma status post transarterial chemoembolization. Follow-up imaging was performed using dual-energy computed tomography. The study was performed with and without contrast and a virtual noncontrast data set was constructed from the postcontrast images. The evaluation of this patient status post transarterial chemoembolization with virtual noncontrast alone erroneously suggested enhancement and viable tumor. However, examination of true noncontrast images revealed these findings to be due to the subtraction of iodine in Ethiodol within the treated lesion.
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Minami Y, Murakami T, Kitano M, Sakurai T, Nishida N, Kudo M. Cone-Beam CT Angiography for Hepatocellular Carcinoma: Current Status. Dig Dis 2015; 33:759-64. [PMID: 26489082 DOI: 10.1159/000439100] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Cone-beam CT (CBCT) is generated during a rotational sweep of the C-arm around the patient, and can be a valuable imaging technique, providing in situ cross-sectional imaging. It is easy to evaluate the morphologic characteristics of hepatic arteries from multiple views with the use of various reconstruction techniques, such as maximum intensity projection (MIP) and volume rendering. CBCT angiography is capable of providing more information than the standard 2-dimensional angiography in visualizing hepatocellular carcinomas (HCCs) and targeting tumors though precise microcatheter placement in close proximity to HCCs. It can also be useful in evaluating treatment success at the time of the procedure. It is anticipated that CBCT could reduce radiation exposure, the overall procedure time and contrast material use because it allows immediate feedback for an efficient angiographic procedure. Therefore, CBCT angiography is an exciting technology with the potential to significantly impact the practice of interventional radiology. The purpose of this article is to provide a review of the principles, clinical applications and technique of CBCT angiography for HCC treatment.
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Affiliation(s)
- Yasunori Minami
- Department of Gastroenterology and Hepatology, Kinki University School of Medicine, Osaka-Sayama, Osaka, Japan
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Xu Y, Xiao A, Yang J, Zhang Z, Zhang G. Assessment of Lipiodol Deposition and Residual Cancer for Hepatocellular Carcinoma After Transcatheter Arterial Chemoembolization via Iodine-Based Material Decomposition Images with Spectral Computed Tomography Imaging: A Preliminary Study. IRANIAN JOURNAL OF RADIOLOGY 2015; 12:e26009. [PMID: 26715981 PMCID: PMC4691528 DOI: 10.5812/iranjradiol.26009] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2014] [Revised: 01/13/2015] [Accepted: 02/14/2015] [Indexed: 02/06/2023]
Abstract
Background: It is critical to follow up hepatocellular carcinoma (HCC) after transcatheter arterial chemoembolization (TACE) in clinical practice. Computed tomography (CT) is used to assess lipiodol deposition, whereas it is difficult to assess hypovascular residual cancer masked by lipiodol. In contrast, magnetic resonance imaging (MRI) is superior to CT in showing residual cancer, but cannot display lipiodol deposition. Objectives: The aim of this study was to investigate the value of spectral CT imaging in both lipiodol deposition and residual cancer for HCC patients after TACE. Patients and Methods: Ten HCC patients after treated with TACE underwent Discovery CT750 HD and MRI750 3T examination. Receiver operating characteristic (ROC) curves of iodine-based material decomposition images, monochromatic images and conventional CT images were generated. Results: Consequently, 30 residual lesions were detected in MRI of 10 patients. They were found in iodine-based images and monochromatic images versus 29 in conventional CT images. The area under ROC curves for the lesion-to-normal parenchyma ratio (LNR) on arterial phase (AP) in iodine-based material decomposition images, monochromatic images and conventional CT images were 0.933, 0.833 and 0.817, respectively. Conclusion: The study data highlighted good value of iodine-based material decomposition images of spectral CT in assessment of both lipiodol deposition and residual cancer for follow-up of HCC patients previously treated with TACE.
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Affiliation(s)
- Yanhong Xu
- Department of Radiology, Shanghai First People’s Hospital, School of Medicine, Jiao Tong University, Shanghai, China
| | - An Xiao
- Department of Interventional Radiology, Shanghai First People’s Hospital, School of Medicine, Jiao Tong University, Shanghai, China
| | - Jia Yang
- Department of Radiology, Shanghai First People’s Hospital, School of Medicine, Jiao Tong University, Shanghai, China
| | - Zaixian Zhang
- Department of Radiology, Shanghai First People’s Hospital, School of Medicine, Jiao Tong University, Shanghai, China
| | - Guixiang Zhang
- Department of Radiology, Shanghai First People’s Hospital, School of Medicine, Jiao Tong University, Shanghai, China
- Corresponding author: Guixiang Zhang, Department of Radiology, Shanghai First People’s Hospital, School of Medicine, Jiao Tong University, Shanghai, China. Tel: +86-2163240090, Fax: +86-2163240825, E-mail:
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Intraprocedural 3D Quantification of Lipiodol Deposition on Cone-Beam CT Predicts Tumor Response After Transarterial Chemoembolization in Patients with Hepatocellular Carcinoma. Cardiovasc Intervent Radiol 2015; 38:1548-56. [PMID: 26001366 DOI: 10.1007/s00270-015-1129-9] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2015] [Accepted: 04/26/2015] [Indexed: 12/23/2022]
Abstract
PURPOSE To evaluate whether intraprocedural 3D quantification of Lipiodol deposition on cone-beam computed tomography (CBCT) can predict tumor response on follow-up contrast-enhanced magnetic resonance imaging (CE-MRI) in patients with hepatocellular carcinoma (HCC) treated with conventional transarterial chemoembolization (cTACE). MATERIALS AND METHODS This IRB approved, retrospective analysis included 36 patients with 51 HCC target lesions, who underwent cTACE with CBCT. CE-MRI was acquired at baseline and 1 month after cTACE. Overall tumor volumes as well as intratumoral Lipiodol volumes on CBCT were measured and compared with the overall and necrotic (non-enhancing) tumor volumes on CE-MRI using the paired student's t test. Tumor response on CE-MRI was assessed using modified response evaluation criteria in solid tumors (mRECIST). A linear regression model was used to correlate tumor volumes, Lipiodol volumes, and the percentage of Lipiodol deposition on CBCT with the corresponding parameters on CE-MRI. Nonparametric spearman rank-order correlation and trend test were used to correlate the percentage of Lipiodol deposition in the tumor with tumor response. RESULT A strong correlation between overall tumor volumes on CBCT and CE-MRI was observed (R(2) = 0.986). In addition, a strong correlation was obtained between the volume of Lipiodol deposition on CBCT and tumor necrosis (in cm(3)) on CE-MRI (R(2) = 0.960), and between the percentage of Lipiodol deposition and tumor necrosis (R(2) = 0.979). Importantly, the extent of Lipiodol deposition (in percentage of total tumor volume) correlated strongly with tumor response on CE-MRI (Spearman rho = 0.84, p < 0.001). CONCLUSIONS Intraprocedural 3D quantification of Lipiodol deposition on CBCT can be used to predict tumor response on follow-up CE-MRI.
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Tacher V, Radaelli A, Lin M, Geschwind JF. How I do it: Cone-beam CT during transarterial chemoembolization for liver cancer. Radiology 2015; 274:320-34. [PMID: 25625741 DOI: 10.1148/radiol.14131925] [Citation(s) in RCA: 129] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Cone-beam computed tomography (CBCT) is an imaging technique that provides computed tomographic (CT) images from a rotational scan acquired with a C-arm equipped with a flat panel detector. Utilizing CBCT images during interventional procedures bridges the gap between the world of diagnostic imaging (typically three-dimensional imaging but performed separately from the procedure) and that of interventional radiology (typically two-dimensional imaging). CBCT is capable of providing more information than standard two-dimensional angiography in localizing and/or visualizing liver tumors ("seeing" the tumor) and targeting tumors though precise microcatheter placement in close proximity to the tumors ("reaching" the tumor). It can also be useful in evaluating treatment success at the time of procedure ("assessing" treatment success). CBCT technology is rapidly evolving along with the development of various contrast material injection protocols and multiphasic CBCT techniques. The purpose of this article is to provide a review of the principles of CBCT imaging, including purpose and clinical evidence of the different techniques, and to introduce a decision-making algorithm as a guide for the routine utilization of CBCT during transarterial chemoembolization of liver cancer.
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Affiliation(s)
- Vania Tacher
- From the Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology, The Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD 21287 (V.T., J.F.G.); Department of Interventional X-ray, Philips Healthcare, Best, the Netherlands (A.R.); and Department of Clinical Informatics, Interventional, and Translational Solutions, Philips Research North America, Briarcliff Manor, NY (M.L.)
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Siegelman ES, Chauhan A. MR characterization of focal liver lesions: pearls and pitfalls. Magn Reson Imaging Clin N Am 2015; 22:295-313. [PMID: 25086931 DOI: 10.1016/j.mric.2014.04.005] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Magnetic resonance (MR) can characterize specific tissue subtypes, thus facilitating focal liver lesion diagnosis. Focal liver lesions that are isointense to hyperintense to liver on T1-weighted images are usually hepatocellular in origin. Chemical shift imaging can narrow the differential diagnosis by detecting the presence of lipid or iron. T2 and heavily T2-weigthed fast spin echo imaging can differentiate solid from nonsolid focal liver lesions. The authors illustrate these MR imaging pearls and the uncommon exceptions (pitfalls). The authors hope that you will find this less traditional contribution to the Magnetic Resonance Clinics of North America helpful in clinical practice.
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Affiliation(s)
- Evan S Siegelman
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 34th and Spruce Streets, 1st Floor Silverstein, Philadelphia, PA 19104-4283, USA.
| | - Anil Chauhan
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 34th and Spruce Streets, 1st Floor Silverstein, Philadelphia, PA 19104-4283, USA
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Li JJ, Zheng JS, Cui SC, Cui XW, Hu CX, Fang D, Ye LC. C-arm Lipiodol CT in transcatheter arterial chemoembolization for small hepatocellular carcinoma. World J Gastroenterol 2015; 21:3035-3040. [PMID: 25780303 PMCID: PMC4356925 DOI: 10.3748/wjg.v21.i10.3035] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2014] [Revised: 10/14/2014] [Accepted: 11/11/2014] [Indexed: 02/06/2023] Open
Abstract
AIM: To investigate the value of C-arm Lipiodol computed tomography (CT) for intra-procedural hepatocellular carcinoma (HCC) lesion detection during transcatheter arterial chemoembolization (TACE).
METHODS: Forty patients (37 male, 3 female; mean age, 52.6 ± 12.5 years, age range: 25-82 years) diagnosed with HCC were enrolled in this study. All patients underwent 64-slice CT 1-2 wk before TACE. During the procedure, hepatic angiography was performed first. Following diagnostic embolization with Lipiodol injected into the hepatic artery, a C-arm CT scan was immediately conducted (C-arm Lipiodol CT). If new HCC lesions were confirmed, gelfoam particles were super-selectively injected into the tumor-nourishing blood vessel. A Lipiodol CT scan was performed 7-14 d after TACE. All images acquired from 64-slice CT, digital subtraction angiography (DSA), C-arm Lipiodol CT and Lipiodol CT were retrospectively reviewed by four radiologists and the number of detected lesions in each examination was counted, respectively. The results of Lipiodol CT were taken as the diagnostic reference. Alpha-fetoprotein values were examined both before and after TACE. This study only takes into account the lesions that were not found or were considered suspicious on 64-slice CT before TACE.
RESULTS: Preprocedural 64-slice CT detected a total of 13 suspicious lesions in the 40 patients. DSA detected ten definite and four suspicious lesions. C-arm Lipiodol CT detected 71 lesions in total and Lipiodol CT confirmed 67 lesions with a diameter range of 3-12 mm. Four false-positive lesions, which were detected by C-arm Lipiodol CT, were considered to be hepatic artery-portal vein fistulas. The average alpha-fetoprotein values before and after TACE were significantly different (452.3 ± 192.6 ng/mL vs 223.8 ± 93.2 ng/mL; P = 0.039).
CONCLUSION: C-arm Lipiodol CT has a higher diagnostic sensitivity for small HCC lesions. This technique may help physicians make intraprocedural decisions to provide patients with earlier treatment.
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Eschelman DJ, Gonsalves CF, Sato T. Transhepatic therapies for metastatic uveal melanoma. Semin Intervent Radiol 2014; 30:39-48. [PMID: 24436516 DOI: 10.1055/s-0033-1333652] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Despite successful treatment of the primary tumor, uveal melanoma has a propensity to metastasize to the liver. Prognosis is poor due to the very aggressive nature of these tumors. Because systemic therapies are relatively ineffective and patient survival correlates to disease control in the liver, locoregional therapies provide a means of prolonging survival. We review various techniques including chemoembolization, immunoembolization, radioembolization, arterial fotemustine infusion, and hepatic perfusion for the treatment of liver metastases from uveal melanoma.
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Affiliation(s)
- David J Eschelman
- Thomas Jefferson University Hospital ; Division of Interventional Radiology ; Department of Radiology
| | - Carin F Gonsalves
- Thomas Jefferson University Hospital ; Division of Interventional Radiology ; Department of Radiology
| | - Takami Sato
- Department of Medical Oncology, Kimmel Cancer Center, Philadelphia, Pennsylvania
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Bryant MK, Dorn DP, Zarzour J, Smith JK, Redden DT, Saddekni S, Aal AKA, Gray SH, Eckhoff DE, DuBay DA. Computed tomography predictors of hepatocellular carcinoma tumour necrosis after chemoembolization. HPB (Oxford) 2014; 16:327-35. [PMID: 23980917 PMCID: PMC3967884 DOI: 10.1111/hpb.12149] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2013] [Accepted: 05/26/2013] [Indexed: 12/12/2022]
Abstract
BACKGROUND Radiographical features associated with a favourable response to trans-arterial chemoembolization (TACE) are poorly defined for patients with hepatocellular carcinoma (HCC). METHODS From 2008 to 2012, all first TACE interventions for HCC performed at the University of Alabama at Birmingham (UAB) were retrospectively reviewed. Only patients with a pre-TACE and a post-TACE computed tomography (CT) scan were included in the analyses (n = 115). HCC tumour response to TACE was quantified via the the modified Response Evaluation Criteria in Solid Tumors (mRECIST) criteria. Univariate and multivariable analyses were constructed. RESULTS The index HCC tumours experienced a > 90% or complete tumour necrosis in 59/115 (51%) of patients after the first TACE intervention. On univariate analysis, smaller tumour size, peripheral tumour location and arterial enhancement were associated with a > 90% or complete tumour necrosis, whereas, only smaller tumour size [odds ratio (OR) 0.62; 95% confidence interval (CI) 0.48, 0.81] and peripheral location (OR 6.91; 95% CI 1.75, 27.29) were significant on multivariable analysis. There was a trend towards improved survival in the patients that experienced a > 90% or complete tumour necrosis (P = 0.08). CONCLUSIONS Peripherally located smaller HCC tumours are most likely to experience a > 90% or complete tumour necrosis after TACE. Surprisingly, arterial-phase enhancement and portal venous-phase washout were not significantly predictive of TACE-induced tumour necrosis. The TACE response was not statistically associated with improved survival.
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Affiliation(s)
- Mary K Bryant
- Liver Transplant and Hepatobiliary Surgery, University of Alabama at BirminghamBirmingham, AL, USA
| | - David P Dorn
- Liver Transplant and Hepatobiliary Surgery, University of Alabama at BirminghamBirmingham, AL, USA
| | - Jessica Zarzour
- Department of Radiology, University of Alabama at BirminghamBirmingham, AL, USA
| | - J Kevin Smith
- Department of Radiology, University of Alabama at BirminghamBirmingham, AL, USA
| | - David T Redden
- Biostatistics Division, School of Public Health, University of Alabama at BirminghamBirmingham, AL, USA
| | - Souheil Saddekni
- Department of Radiology, University of Alabama at BirminghamBirmingham, AL, USA
| | | | - Stephen H Gray
- Liver Transplant and Hepatobiliary Surgery, University of Alabama at BirminghamBirmingham, AL, USA
| | - Devin E Eckhoff
- Liver Transplant and Hepatobiliary Surgery, University of Alabama at BirminghamBirmingham, AL, USA
| | - Derek A DuBay
- Liver Transplant and Hepatobiliary Surgery, University of Alabama at BirminghamBirmingham, AL, USA,Correspondence Derek A. DuBay, Liver Transplant and Hepatobiliary Surgery, University of Alabama at Birmingham, 701 ZRB, 1530 3 Avenue South, Birmingham, AL 35294-0007, USA. Tel: + 1205 996 5970. Fax: + 1205 996 9037. E-mail:
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Wang Z, Lin M, Lesage D, Chen R, Chapiro J, Gu T, Tacher V, Duran R, Geschwind JF. Three-dimensional evaluation of lipiodol retention in HCC after chemoembolization: a quantitative comparison between CBCT and MDCT. Acad Radiol 2014; 21:393-9. [PMID: 24507426 PMCID: PMC3979929 DOI: 10.1016/j.acra.2013.11.006] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2013] [Revised: 11/02/2013] [Accepted: 11/03/2013] [Indexed: 01/04/2023]
Abstract
RATIONALE AND OBJECTIVES To evaluate the capability of cone-beam computed tomography (CBCT) acquired immediately after transcatheter arterial chemoembolization (TACE) in determining lipiodol retention quantitatively and volumetrically when compared to 1-day postprocedure unenhanced multidetector computed tomography (MDCT). MATERIALS AND METHODS From June to December 2012, 15 patients met the inclusion criteria of unresectable hepatocellular carcinoma (HCC) that was treated with conventional TACE (cTACE) and had intraprocedural CBCT and 1-day post-TACE MDCT. Four patients were excluded because the lipiodol was diffuse throughout the entire liver or lipiodol deposition was not clear on both CBCT and MDCT. Eleven patients with a total of 31 target lesions were included in the analysis. A quantitative three-dimensional software was used to assess complete, localized, and diffuse lipiodol deposition. Tumor volume, lipiodol volume in the tumor, percent lipiodol retention, and lipiodol enhancement in Hounsfield units (HU) were calculated and compared between CBCT and MDCT using two-tailed Student's t test and Bland-Altman plots. RESULTS The mean value of tumor volume, lipiodol-deposited regions, calculated average percent lipiodol retention, and HU value of CBCT were not significantly different from those of MDCT (tumor volume: 9.37 ± 11.35 cm(3) vs 9.34 ± 11.44 cm(3), P = .991; lipiodol volume: 7.84 ± 9.34 cm(3) vs 7.84 ± 9.60 cm(3), P = .998; lipiodol retention: 89.3% ± 14.7% vs. 90.2% ± 14.9%, P = .811; HU value: 307.7 ± 160.1 HU vs. 257.2 ± 120.0 HU, P = .139). Bland-Altman plots showed only minimal difference and high agreement when comparing CBCT to MDCT. CONCLUSIONS CBCT has a similar capability, intraprocedurally, to assess lipiodol deposition in three dimensions for patients with HCC treated with cTACE when compared to MDCT.
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Affiliation(s)
- Zhijun Wang
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology, The Johns Hopkins Hospital, Sheikh Zayed Tower, Ste 7203, 1800 Orleans St, Baltimore, MD, USA 21287
| | - MingDe Lin
- Clinical Informatics, Interventional, and Translational Solutions (CIITS), Philips Research North America, Briarcliff Manor, NY, USA
| | | | - Rongxin Chen
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology, The Johns Hopkins Hospital, Sheikh Zayed Tower, Ste 7203, 1800 Orleans St, Baltimore, MD, USA 21287
| | - Julius Chapiro
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology, The Johns Hopkins Hospital, Sheikh Zayed Tower, Ste 7203, 1800 Orleans St, Baltimore, MD, USA 21287
| | - Tara Gu
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology, The Johns Hopkins Hospital, Sheikh Zayed Tower, Ste 7203, 1800 Orleans St, Baltimore, MD, USA 21287
| | - Vania Tacher
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology, The Johns Hopkins Hospital, Sheikh Zayed Tower, Ste 7203, 1800 Orleans St, Baltimore, MD, USA 21287
| | - Rafael Duran
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology, The Johns Hopkins Hospital, Sheikh Zayed Tower, Ste 7203, 1800 Orleans St, Baltimore, MD, USA 21287
| | - Jean-François Geschwind
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology, The Johns Hopkins Hospital, Sheikh Zayed Tower, Ste 7203, 1800 Orleans St, Baltimore, MD, USA 21287
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Chen R, Geschwind JF, Wang Z, Tacher V, Lin M. Quantitative assessment of lipiodol deposition after chemoembolization: comparison between cone-beam CT and multidetector CT. J Vasc Interv Radiol 2013; 24:1837-44. [PMID: 24094672 PMCID: PMC3840104 DOI: 10.1016/j.jvir.2013.08.017] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2013] [Revised: 08/19/2013] [Accepted: 08/22/2013] [Indexed: 12/30/2022] Open
Abstract
PURPOSE To evaluate the ability of cone-beam computed tomography (CBCT) performed directly after transarterial chemoembolization to assess ethiodized oil (Lipiodol) deposition in hepatocellular carcinoma (HCC) and compare it with unenhanced multidetector computed tomography (CT). MATERIALS AND METHODS Conventional transarterial chemoembolization was used to treat 15 patients with HCC, and CBCT was performed to assess Lipiodol deposition directly after transarterial chemoembolization. Unenhanced multidetector CT was performed 24 hours after transarterial chemoembolization. Four patients were excluded because the margin of tumor or area of Lipiodol deposition was unclear. The image enhancement density of the entire tumor and liver parenchyma was measured by ImageJ software, and tumor-to-liver contrast (TLC) was calculated. In addition, volumetric measurement of tumor and Lipiodol was performed by semiautomatic three-dimensional volume segmentation and compared using linear regression to evaluate consistency between the two imaging modalities. RESULTS The mean value of TLC on CBCT was not significantly different from TLC on multidetector CT (337.7 HU ± 233.5 vs 283.0 HU ± 152.1, P = .103).The average volume of the whole tumor and of only the regions with Lipiodol deposition and the calculated average percentage of Lipiodol retention on CBCT were not significantly different compared with multidetector CT (tumor volume, 9.6 cm(3) ± 11.8 vs 10.8 cm(3) ± 14.2, P = .142; Lipiodol volume, 6.3 cm(3) ± 7.7 vs 7.0 cm(3) ± 8.1, P = .214; percentage of Lipiodol retention, 68.9% ± 24.0% vs 72.2% ± 23.1%, P = .578). Additionally, there was a high correlation in the volume of tumor and Lipiodol between CBCT and multidetector CT (R(2) = 0.919 and 0.903). CONCLUSIONS The quantitative image enhancement and volume analyses demonstrate that CBCT is similar to multidetector CT in assessing Lipiodol deposition in HCC after transarterial chemoembolization.
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Affiliation(s)
- Rongxin Chen
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology, The Johns Hopkins Hospital, Sheikh Zayed Tower, Ste 7203, 1800 Orleans St, Baltimore, MD, USA 21287
| | - Jean-François Geschwind
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology, The Johns Hopkins Hospital, Sheikh Zayed Tower, Ste 7203, 1800 Orleans St, Baltimore, MD, USA 21287
| | - Zhijun Wang
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology, The Johns Hopkins Hospital, Sheikh Zayed Tower, Ste 7203, 1800 Orleans St, Baltimore, MD, USA 21287
| | - Vania Tacher
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology, The Johns Hopkins Hospital, Sheikh Zayed Tower, Ste 7203, 1800 Orleans St, Baltimore, MD, USA 21287
| | - MingDe Lin
- Clinical Informatics, Interventional, and Translational Solutions (CIITS), Philips Research North America, Briarcliff Manor, NY, USA
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Idée JM, Guiu B. Use of Lipiodol as a drug-delivery system for transcatheter arterial chemoembolization of hepatocellular carcinoma: a review. Crit Rev Oncol Hematol 2013; 88:530-49. [PMID: 23921081 DOI: 10.1016/j.critrevonc.2013.07.003] [Citation(s) in RCA: 139] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2013] [Revised: 06/05/2013] [Accepted: 07/09/2013] [Indexed: 12/12/2022] Open
Abstract
Hepatocellular carcinoma (HCC) remains a major public health problem. Transarterial chemoembolization (TACE) is recognized as the standard of care for patients with unresectable, asymptomatic, noninvasive and multinodular HCC. This procedure is based on percutaneous administration of a cytotoxic drug emulsified with Lipiodol followed by embolization of the tumour-feeding arteries. The standard procedure involves Lipiodol, an oily contrast medium which consists of a mixture of long-chain di-iodinated ethyl esters of poppy seed fatty acids. The aim of this review is to discuss the physical properties, tumour uptake behaviour and drug delivery effects of Lipiodol, the parameters influencing tumour uptake and future prospects. Lipiodol has a unique place in TACE as it combines three specific characteristics: drug delivery, transient and plastic embolization and radiopacity properties. Substantial heterogeneity in the physicochemical characteristics of Lipiodol/cytotoxic agent emulsions might reduce the efficacy of this procedure and justifies the current interest in Lipiodol for drug delivery.
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Affiliation(s)
- Jean-Marc Idée
- Guerbet, Research and Innovation Division, BP 57400, 95943 Roissy-Charles de Gaulle cedex, France.
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Lin M, Pellerin O, Bhagat N, Rao PP, Loffroy R, Ardon R, Mory B, Reyes DK, Geschwind JF. Quantitative and volumetric European Association for the Study of the Liver and Response Evaluation Criteria in Solid Tumors measurements: feasibility of a semiautomated software method to assess tumor response after transcatheter arterial chemoembolization. J Vasc Interv Radiol 2013. [PMID: 23177109 DOI: 10.1016/j.jvir.2012.08.028] [Citation(s) in RCA: 82] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
PURPOSE To show that hepatic tumor volume and enhancement pattern measurements can be obtained in a time-efficient and reproducible manner on a voxel-by-voxel basis to provide a true three-dimensional (3D) volumetric assessment. MATERIALS AND METHODS Magnetic resonance (MR) imaging data obtained from 20 patients recruited for a single-institution prospective study were retrospectively evaluated. All patients had a diagnosis of hepatocellular carcinoma (HCC) and underwent drug-eluting beads (DEB) transcatheter arterial chemoembolization for the first time. All patients had undergone contrast-enhanced MR imaging before and after DEB transcatheter arterial chemoembolization; poor image quality excluded 3 patients, resulting in a final count of 17 patients. Volumetric RECIST (vRECIST) and quantitative EASL (qEASL) were measured, and segmentation and processing times were recorded. RESULTS There were 34 scans analyzed. The time for semiautomatic segmentation was 65 seconds±33 (range, 40-200 seconds). vRECIST and qEASL of each tumor were computed<1 minute for each. CONCLUSIONS Semiautomatic quantitative tumor enhancement (qEASL) and volume (vRECIST) assessment is feasible in a workflow-efficient time frame. Clinical correlation is necessary, but vRECIST and qEASL could become part of the assessment of intraarterial therapy for interventional radiologists.
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Affiliation(s)
- MingDe Lin
- Clinical Informatics, Interventional, and Translational Solutions (CIITS), Philips Research North America, Briarcliff Manor, New York, USA
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Jiang T, Zhu AX, Sahani DV. Established and novel imaging biomarkers for assessing response to therapy in hepatocellular carcinoma. J Hepatol 2013; 58:169-77. [PMID: 22944253 DOI: 10.1016/j.jhep.2012.08.022] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2011] [Revised: 08/21/2012] [Accepted: 08/23/2012] [Indexed: 12/20/2022]
Abstract
The management of hepatocellular carcinoma (HCC) is evolving because of recently introduced novel therapeutic approaches. There is growing recognition that optimal outcome requires choosing treatment tailored to suit each individual patient, necessitating an early and accurate assessment of tumor response to therapy. The established and adapted image biomarkers based on size for tumor burden measurement continues to be applied to HCC as size measurement can easily be used in any clinical practice. However, in the setting of novel targeted therapies and liver directed treatments, simple tumor anatomical changes can be less informative and usually appear later than biological changes. Therefore the importance of image biomarkers such as tumor viability measurement, functional perfusion and diffusion imaging for response assessment is increasingly being recognized. Although promising, these imaging biomarkers have not gone through all the required steps of standardization and validation. In this review, we discuss various established, evolving and emerging imaging biomarkers and the criteria of response evaluation and their challenges in HCC.
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Affiliation(s)
- Tao Jiang
- Division of Abdominal Imaging and Intervention, Harvard Medical School and Massachusetts General Hospital, 55 Fruit Street, White 270, Boston, MA 02114, USA
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Gaba RC, Baumgarten S, Omene BO, van Breemen RB, Garcia KD, Larson AC, Omary RA. Ethiodized oil uptake does not predict doxorubicin drug delivery after chemoembolization in VX2 liver tumors. J Vasc Interv Radiol 2011; 23:265-73. [PMID: 22178040 DOI: 10.1016/j.jvir.2011.10.022] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2011] [Revised: 10/24/2011] [Accepted: 10/24/2011] [Indexed: 10/14/2022] Open
Abstract
PURPOSE To investigate the accuracy of ethiodized oil as an imaging marker of chemotherapy drug delivery after liver tumor chemoembolization in an animal model of hepatocellular carcinoma. MATERIALS AND METHODS Eleven VX2 liver tumors (mean diameter, 1.9 cm ± 0.4) in six New Zealand White rabbits were treated with chemoembolization using ethiodized oil and doxorubicin emulsion, followed by immediate euthanasia. Postprocedure noncontrast computed tomography (CT) was used to evaluate intratumoral ethiodized oil distribution and calculate iodine content within four peripheral tumor quadrants and the tumor core at a central tumor slice (N = 55 total tumor sections). Liquid chromatography/tandem mass spectrometry (LC-MS/MS) was then used to directly measure doxorubicin concentration in the same tissue sections. Statistical correlation was performed between tissue iodine content and doxorubicin concentration by using linear regression. RESULTS Chemoembolization was successfully performed in all tumors via the left or proper hepatic artery. A mean of 0.9 mL ± 0.6 ethiodized oil and 1.8 mg ± 1.2 doxorubicin were injected. CT-calculated tissue iodine content averaged 335 mg/mL ± 218. Corresponding LC-MS/MS analysis yielded a mean doxorubicin concentration of 15.8 μg/mL ± 14.3 in each sample. Although iodine content (391 mg/mL vs 112 mg/mL; P = .000) and doxorubicin concentration (18.0 μg/mL vs 7.2 μg/mL; P = .023) were significantly greater along peripheral tumor sections compared with the tumor core, no significant predictable correlation was evident between these measures (R(2) = 0.0099). CONCLUSIONS Tissue ethiodized oil content is a poor quantitative predictor of local doxorubicin concentration after liver tumor chemoembolization. Future studies should aim to identify a better imaging marker for chemoembolization drug delivery.
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Affiliation(s)
- Ron C Gaba
- Department of Radiology, Interventional Radiology Section, University of Illinois at Chicago, Chicago, Illinois 60612, USA.
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