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Keum H, Cevik E, Kim J, Demirlenk YM, Atar D, Saini G, Sheth RA, Deipolyi AR, Oklu R. Tissue Ablation: Applications and Perspectives. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2310856. [PMID: 38771628 PMCID: PMC11309902 DOI: 10.1002/adma.202310856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 05/05/2024] [Indexed: 05/22/2024]
Abstract
Tissue ablation techniques have emerged as a critical component of modern medical practice and biomedical research, offering versatile solutions for treating various diseases and disorders. Percutaneous ablation is minimally invasive and offers numerous advantages over traditional surgery, such as shorter recovery times, reduced hospital stays, and decreased healthcare costs. Intra-procedural imaging during ablation also allows precise visualization of the treated tissue while minimizing injury to the surrounding normal tissues, reducing the risk of complications. Here, the mechanisms of tissue ablation and innovative energy delivery systems are explored, highlighting recent advancements that have reshaped the landscape of clinical practice. Current clinical challenges related to tissue ablation are also discussed, underlining unmet clinical needs for more advanced material-based approaches to improve the delivery of energy and pharmacology-based therapeutics.
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Affiliation(s)
- Hyeongseop Keum
- Laboratory for Patient Inspired Engineering, Mayo Clinic, 13400 East Shea Blvd., Scottsdale, Arizona 85259, USA
| | - Enes Cevik
- Laboratory for Patient Inspired Engineering, Mayo Clinic, 13400 East Shea Blvd., Scottsdale, Arizona 85259, USA
| | - Jinjoo Kim
- Laboratory for Patient Inspired Engineering, Mayo Clinic, 13400 East Shea Blvd., Scottsdale, Arizona 85259, USA
| | - Yusuf M Demirlenk
- Laboratory for Patient Inspired Engineering, Mayo Clinic, 13400 East Shea Blvd., Scottsdale, Arizona 85259, USA
| | - Dila Atar
- Laboratory for Patient Inspired Engineering, Mayo Clinic, 13400 East Shea Blvd., Scottsdale, Arizona 85259, USA
| | - Gia Saini
- Laboratory for Patient Inspired Engineering, Mayo Clinic, 13400 East Shea Blvd., Scottsdale, Arizona 85259, USA
| | - Rahul A Sheth
- Department of Interventional Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Amy R Deipolyi
- Interventional Radiology, Department of Surgery, West Virginia University, Charleston Area Medical Center, Charleston, WV 25304, USA
| | - Rahmi Oklu
- Laboratory for Patient Inspired Engineering, Mayo Clinic, 13400 East Shea Blvd., Scottsdale, Arizona 85259, USA
- Division of Vascular & Interventional Radiology, Mayo Clinic, 5777 E Mayo Blvd, Phoenix, Arizona 85054, USA
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Hendriks P, Boel F, Oosterveer TTM, Broersen A, de Geus-Oei LF, Dijkstra J, Burgmans MC. Ablation margin quantification after thermal ablation of malignant liver tumors: How to optimize the procedure? A systematic review of the available evidence. Eur J Radiol Open 2023; 11:100501. [PMID: 37405153 PMCID: PMC10316004 DOI: 10.1016/j.ejro.2023.100501] [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: 03/31/2023] [Revised: 06/21/2023] [Accepted: 06/23/2023] [Indexed: 07/06/2023] Open
Abstract
Introduction To minimize the risk of local tumor progression after thermal ablation of liver malignancies, complete tumor ablation with sufficient ablation margins is a prerequisite. This has resulted in ablation margin quantification to become a rapidly evolving field. The aim of this systematic review is to give an overview of the available literature with respect to clinical studies and technical aspects potentially influencing the interpretation and evaluation of ablation margins. Methods The Medline database was reviewed for studies on radiofrequency and microwave ablation of liver cancer, ablation margins, image processing and tissue shrinkage. Studies included in this systematic review were analyzed for qualitative and quantitative assessment methods of ablation margins, segmentation and co-registration methods, and the potential influence of tissue shrinkage occurring during thermal ablation. Results 75 articles were included of which 58 were clinical studies. In most clinical studies the aimed minimal ablation margin (MAM) was ≥ 5 mm. In 10/31 studies, MAM quantification was performed in 3D rather than in three orthogonal image planes. Segmentations were performed either semi-automatically or manually. Rigid and non-rigid co-registration algorithms were used about as often. Tissue shrinkage rates ranged from 7% to 74%. Conclusions There is a high variability in ablation margin quantification methods. Prospectively obtained data and a validated robust workflow are needed to better understand the clinical value. Interpretation of quantified ablation margins may be influenced by tissue shrinkage, as this may cause underestimation.
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Affiliation(s)
- Pim Hendriks
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Fleur Boel
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Timo TM Oosterveer
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Alexander Broersen
- LKEB Laboratory of Clinical and Experimental Imaging, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Lioe-Fee de Geus-Oei
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
- Biomedical Photonic Imaging Group, University of Twente, the Netherlands
| | - Jouke Dijkstra
- LKEB Laboratory of Clinical and Experimental Imaging, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Mark C Burgmans
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
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Frackowiak B, Van den Bosch V, Tokoutsi Z, Baragona M, de Greef M, Elevelt A, Isfort P. First validation of a model-based hepatic percutaneous microwave ablation planning on a clinical dataset. Sci Rep 2023; 13:16862. [PMID: 37803064 PMCID: PMC10558472 DOI: 10.1038/s41598-023-42543-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 09/12/2023] [Indexed: 10/08/2023] Open
Abstract
A model-based planning tool, integrated in an imaging system, is envisioned for CT-guided percutaneous microwave ablation. This study aims to evaluate the biophysical model performance, by comparing its prediction retrospectively with the actual ablation ground truth from a clinical dataset in liver. The biophysical model uses a simplified formulation of heat deposition on the applicator and a heat sink related to vasculature to solve the bioheat equation. A performance metric is defined to assess how the planned ablation overlaps the actual ground truth. Results demonstrate superiority of this model prediction compared to manufacturer tabulated data and a significant influence of the vasculature cooling effect. Nevertheless, vasculature shortage due to branches occlusion and applicator misalignment due to registration error between scans affects the thermal prediction. With a more accurate vasculature segmentation, occlusion risk can be estimated, whereas branches can be used as liver landmarks to improve the registration accuracy. Overall, this study emphasizes the benefit of a model-based thermal ablation solution in better planning the ablation procedures. Contrast and registration protocols must be adapted to facilitate its integration into the clinical workflow.
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Affiliation(s)
- Bruno Frackowiak
- Philips Research, Data Science & Digital Twin, 5656 AE, Eindhoven, The Netherlands.
| | - Vincent Van den Bosch
- Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, 52074, Aachen, Germany
| | - Zoi Tokoutsi
- Philips Research, Data Science & Digital Twin, 5656 AE, Eindhoven, The Netherlands
| | - Marco Baragona
- Philips Research, Data Science & Digital Twin, 5656 AE, Eindhoven, The Netherlands
| | - Martijn de Greef
- Philips Research, Data Science & Digital Twin, 5656 AE, Eindhoven, The Netherlands
| | - Aaldert Elevelt
- Philips Research, Data Science & Digital Twin, 5656 AE, Eindhoven, The Netherlands
| | - Peter Isfort
- Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, 52074, Aachen, Germany
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Frackowiak B, Van den Bosch V, Tokoutsi Z, Baragona M, de Greef M, Elevelt A, Isfort P. Model-based hepatic percutaneous microwaveablation planning. First validation on a clinical dataset. RESEARCH SQUARE 2023:rs.3.rs-2781339. [PMID: 37131766 PMCID: PMC10153367 DOI: 10.21203/rs.3.rs-2781339/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
A model-based planning tool, integrated in an imaging system, is envisioned for CT-guided percutaneous microwave ablation. This study aims to evaluate the biophysical model performance, by comparing its prediction retrospectively with the actualablation ground truth from a clinical data set in liver. The biophysical model uses a simplified formulation of heat depositionon the applicator and a heat sink related to vasculature to solve the bioheat equation. A performance metric is defined toassess how the planned ablation overlaps the actual ground truth. Results demonstrate superiority of this model predictioncompared to manufacturer tabulated data and a significant influence of the vasculature cooling effect. Nevertheless, vasculatureshortage due to branches occlusion and applicator misalignment due to registration error between scans affects the thermalprediction. With a more accurate vasculature segmentation, occlusion risk can be estimated, whereas branches can be usedas liver landmarks to improve the registration accuracy. Overall, this study emphasizes the benefit of a model-based thermalablation solution in better planning the ablation procedures. Contrast and registration protocols must be adapted to facilitate itsintegration into the clinical workflow.
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Affiliation(s)
- Bruno Frackowiak
- Philips Research, Data Science & Digital Twin,Eindhoven,5656AE, Netherlands
| | - Vincent Van den Bosch
- Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, 52074, Germany
| | - Zoi Tokoutsi
- Philips Research, Data Science & Digital Twin,Eindhoven,5656AE, Netherlands
| | - Marco Baragona
- Philips Research, Data Science & Digital Twin,Eindhoven,5656AE, Netherlands
| | - Martijn de Greef
- Philips Research, Data Science & Digital Twin,Eindhoven,5656AE, Netherlands
| | - Aaldert Elevelt
- Philips Research, Data Science & Digital Twin,Eindhoven,5656AE, Netherlands
| | - Peter Isfort
- Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, 52074, Germany
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Oosterveer TTM, van Erp GCM, Hendriks P, Broersen A, Overduin CG, van Rijswijk CSP, van Erkel AR, van der Meer RW, Tushuizen ME, Moelker A, Meijerink MR, van Delden OM, de Jong KP, van der Leij C, Smits MLJ, Urlings TAJ, Braak JPBM, Meershoek-Klein Kranenbarg E, van Duijn-de Vreugd B, Zeijdner E, Goeman JJ, Fütterer JJ, Coenraad MJ, Dijkstra J, Burgmans MC. Study Protocol PROMETHEUS: Prospective Multicenter Study to Evaluate the Correlation Between Safety Margin and Local Recurrence After Thermal Ablation Using Image Co-registration in Patients with Hepatocellular Carcinoma. Cardiovasc Intervent Radiol 2022; 45:606-612. [PMID: 35233662 PMCID: PMC9018632 DOI: 10.1007/s00270-022-03075-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 01/27/2022] [Indexed: 11/29/2022]
Abstract
Purpose The primary objective is to determine the minimal ablation margin required to achieve a local recurrence rate of < 10% in patients with hepatocellular carcinoma undergoing thermal ablation. Secondary objectives are to analyze the correlation between ablation margins and local recurrence and to assess efficacy. Materials and Methods This study is a prospective, multicenter, non-experimental, non-comparative, open-label study. Patients > 18 years with Barcelona Clinic Liver Cancer stage 0/A hepatocellular carcinoma (or B with a maximum of two lesions < 5 cm each) are eligible. Patients will undergo dual-phase contrast-enhanced computed tomography directly before and after ablation. Ablation margins will be quantitatively assessed using co-registration software, blinding assessors (i.e. two experienced radiologists) for outcome. Presence and location of recurrence are evaluated independently on follow-up scans by two other experienced radiologists, blinded for the quantitative margin analysis. A sample size of 189 tumors (~ 145 patients) is required to show with 80% power that the risk of local recurrence is confidently below 10%. A two-sided binomial z-test will be used to test the null hypothesis that the local recurrence rate is ≥ 10% for patients with a minimal ablation margin ≥ 2 mm. Logistic regression will be used to find the relationship between minimal ablation margins and local recurrence. Kaplan–Meier estimates are used to assess local and overall recurrence, disease-free and overall survival. Discussion It is expected that this study will result in a clear understanding of the correlation between ablation margins and local recurrence. Using co-registration software in future patients undergoing ablation for hepatocellular carcinoma may improve intraprocedural evaluation of technical success. Trial registration The Netherlands Trial Register (NL9713), https://www.trialregister.nl/trial/9713.
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Affiliation(s)
- Timo T M Oosterveer
- Department of Radiology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
| | - Gonnie C M van Erp
- Department of Radiology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Pim Hendriks
- Department of Radiology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Alexander Broersen
- Department of Radiology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.,Division of Image Processing, Leiden University Medical Center, Leiden, The Netherlands
| | - Christiaan G Overduin
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Carla S P van Rijswijk
- Department of Radiology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Arian R van Erkel
- Department of Radiology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Rutger W van der Meer
- Department of Radiology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Maarten E Tushuizen
- Department of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Adriaan Moelker
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Martijn R Meijerink
- Department of Radiology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Otto M van Delden
- Department of Radiology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Koert P de Jong
- Department of Hepatobiliary and Pancreatic Surgery, University Medical Center Groningen, Groningen, The Netherlands
| | | | - Maarten L J Smits
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Thijs A J Urlings
- Department of Radiology, Haaglanden Medical Center, Hague, The Netherlands
| | - Jeffrey P B M Braak
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Bianca van Duijn-de Vreugd
- Department of Radiology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | | | - Jelle J Goeman
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Jurgen J Fütterer
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Minneke J Coenraad
- Department of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jouke Dijkstra
- Department of Radiology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.,Division of Image Processing, Leiden University Medical Center, Leiden, The Netherlands
| | - Mark C Burgmans
- Department of Radiology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
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