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Weise K, Madsen KH, Worbs T, Knösche TR, Korshøj A, Thielscher A. A Leadfield-Free Optimization Framework for Transcranially Applied Electric Currents. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.12.18.629095. [PMID: 39763744 PMCID: PMC11702683 DOI: 10.1101/2024.12.18.629095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/16/2025]
Abstract
Background Transcranial Electrical Stimulation (TES), Temporal Interference Stimulation (TIS), Electroconvulsive Therapy (ECT) and Tumor Treating Fields (TTFields) are based on the application of electric current patterns to the brain. Objective The optimal electrode positions, shapes and alignments for generating a desired current pattern in the brain vary between persons due to anatomical variability. The aim is to develop a flexible and efficient computational approach to determine individually optimal montages based on electric field simulations. Methods We propose a leadfield-free optimization framework that allows the electrodes to be placed freely on the head surface. It is designed for the optimization of montages with a low to moderate number of spatially extended electrodes or electrode arrays. Spatial overlaps are systematically prevented during optimization, enabling arbitrary electrode shapes and configurations. The approach supports maximizing the field intensity in target region-of-interests (ROI) and optimizing for a desired focality-intensity tradeoff. Results We demonstrate montage optimization for standard two-electrode TES, focal center-surround TES, TIS, ECT and TTFields. Comparisons against reference simulations are used to validate the performance of the algorithm. The system requirements are kept moderate, allowing the optimization to run on regular notebooks and promoting its use in basic and clinical research. Conclusions The new framework complements existing optimization methods that require small electrodes, a predetermined discretization of the electrode positions on the scalp and work best for multi-channel systems. It strongly extends the possibilities to optimize electrode montages towards application-specific aims and supports researchers in discovering innovative stimulation schemes. The framework is available in SimNIBS.
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Affiliation(s)
- Konstantin Weise
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Methods and Development Group "Brain Networks", Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Leipzig University of Applied Sciences (HTWK), Institute for Electrical Power Engineering, Leipzig, Germany
| | - Kristoffer H Madsen
- Technical University of Denmark, Section for Cognitive Systems, Department of Applied Mathematics and Computer Science, Kongens Lyngby, Denmark
- Danish Research Centre for Magnetic Resonance, Department of Radiology and Nuclear Medicine, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark
| | - Torge Worbs
- Danish Research Centre for Magnetic Resonance, Department of Radiology and Nuclear Medicine, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark
- Technical University of Denmark, Section for Magnetic Resonance, Department of Health Technology, Kongens Lyngby, Denmark
| | - Thomas R Knösche
- Leipzig University of Applied Sciences (HTWK), Institute for Electrical Power Engineering, Leipzig, Germany
| | - Anders Korshøj
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark
| | - Axel Thielscher
- Danish Research Centre for Magnetic Resonance, Department of Radiology and Nuclear Medicine, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark
- Technical University of Denmark, Section for Magnetic Resonance, Department of Health Technology, Kongens Lyngby, Denmark
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Cao F, Mikic N, Wong ET, Thielscher A, Korshoej AR. Guidelines for Burr Hole Surgery in Combination With Tumor Treating Fields for Glioblastoma: A Computational Study on Dose Optimization and Array Layout Planning. Front Hum Neurosci 2022; 16:909652. [PMID: 35782043 PMCID: PMC9245346 DOI: 10.3389/fnhum.2022.909652] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 05/31/2022] [Indexed: 12/03/2022] Open
Abstract
Tumor treating fields (TTFields) is an anti-cancer technology increasingly used for the treatment of glioblastoma. Recently, cranial burr holes have been used experimentally to enhance the intensity (dose) of TTFields in the underlying tumor region. In the present study, we used computational finite element methods to systematically characterize the impact of the burr hole position and the TTFields transducer array layout on the TTFields distribution calculated in a realistic human head model. We investigated a multitude of burr hole positions and layouts to illustrate the basic principles of optimal treatment planning. The goal of the paper was to provide simple rules of thumb for physicians to use when planning the TTFields in combination with skull remodeling surgery. Our study suggests a number of key findings, namely that (1) burr holes should be placed directly above the region of interest, (2) field enhancement occurs mainly underneath the holes, (3) the ipsilateral array should directly overlap the holes and the contralateral array should be placed directly opposite, (4) arrays in a pair should be placed at far distance and not close to each other to avoid current shunting, and finally (5) rotation arrays around their central normal axis can be done without diminishing the enhancing effect of the burr holes. Minor deviations and adjustments (<3 cm) of arrays reduces the enhancement to some extent although the procedure is still effective in these settings. In conclusion, our study provides simple guiding principles for implementation of dose-enhanced TTFields in combination with burr-holes. Future studies are required to validate our findings in additional models at the patient specific level.
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Affiliation(s)
- Fang Cao
- Department of Health Technology, Center for Magnetic Resonance, Technical University of Denmark, Kgs. Lyngby, Denmark
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark
| | - Nikola Mikic
- Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Eric T. Wong
- Division of Hematology/Oncology, Department of Medicine, Rhode Island Hospital, Providence, RI, United States
| | - Axel Thielscher
- Department of Health Technology, Center for Magnetic Resonance, Technical University of Denmark, Kgs. Lyngby, Denmark
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark
| | - Anders Rosendal Korshoej
- Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- *Correspondence: Anders Rosendal Korshoej
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Kurata K, Shimada K, Takamatsu H. Application of the Taguchi method to explore a robust condition of tumor-treating field treatment. PLoS One 2022; 17:e0262133. [PMID: 35061762 PMCID: PMC8782397 DOI: 10.1371/journal.pone.0262133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 12/16/2021] [Indexed: 11/25/2022] Open
Abstract
Tumor-treating fields have potential as minimally invasive cancer treatment. This study aimed to explore the optimum tumor-treating field conditions that minimize unpredicted variations in therapeutic outcomes resulting from differences in cell size and electrical properties. The electric field concentration that induces a dielectrophoretic force near the division plane of a mitotic cell was calculated by finite element analysis for 144 cases, based on different combinations of six noise factors associated with cells and four controllable factors including frequency, as determined by the Taguchi method. Changing the frequency from 200 to 400 kHz strongly increased robustness in producing a dielectrophoretic force, irrespective of noise factors. However, this frequency change reduced the force magnitude, which can be increased by simply applying a higher voltage. Based on additional simulations that considered this trade-off effect, a frequency of 300 kHz is recommended for a robust TTF treatment with allowable variations. The dielectrophoretic force was almost independent of the angle of applied electric field deviated from the most effective direction by ±20 degrees. Furthermore, increased robustness was observed for extracellular fluid with higher conductivity and permittivity. The Taguchi method was useful for identifying robust tumor-treating field therapy conditions from a considerably small number of replicated simulations.
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Affiliation(s)
- Kosaku Kurata
- Department of Mechanical Engineering, Kyushu University, Fukuoka, Japan
- * E-mail:
| | - Kazuki Shimada
- Graduate School of Engineering, Kyushu University, Fukuoka, Japan
| | - Hiroshi Takamatsu
- Department of Mechanical Engineering, Kyushu University, Fukuoka, Japan
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Mikic N, Poulsen FR, Kristoffersen KB, Laursen RJ, Guldberg TL, Skjøth-Rasmussen J, Wong ET, Møller S, Dahlrot RH, Sørensen JCH, Korshøj AR. Study protocol for OptimalTTF-2: enhancing Tumor Treating Fields with skull remodeling surgery for first recurrence glioblastoma: a phase 2, multi-center, randomized, prospective, interventional trial. BMC Cancer 2021; 21:1010. [PMID: 34503460 PMCID: PMC8427888 DOI: 10.1186/s12885-021-08709-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 08/18/2021] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND OptimalTTF-2 is a randomized, comparative, multi-center, investigator-initiated, interventional study aiming to test skull remodeling surgery in combination with Tumor Treating Fields therapy (TTFields) and best physicians choice medical oncological therapy for first recurrence in glioblastoma patients. OptimalTTF-2 is a phase 2 trial initiated in November 2020. Skull remodeling surgery consists of five burrholes, each 15 mm in diameter, directly over the tumor resection cavity. Preclinical research indicates that this procedure enhances the effect of Tumor Treating Fields considerably. We recently concluded a phase 1 safety/feasibility trial that indicated improved overall survival and no additional toxicity. This phase 2 trial aims to validate the efficacy of the proposed intervention. METHODS The trial is designed as a comparative, 1:1 randomized, minimax two-stage phase 2 with an expected 70 patients to a maximum sample size of 84 patients. After 12-months follow-up of the first 52 patients, an interim futility analysis will be performed. The two trial arms will consist of either a) TTFields therapy combined with best physicians choice oncological treatment (control arm) or b) skull remodeling surgery, TTFields therapy and best practice oncology (interventional arm). Major eligibility criteria include age ≥ 18 years, 1st recurrence of supratentorial glioblastoma, Karnofsky performance score ≥ 70, focal tumor, and lack of significant co-morbidity. Study design aims to detect a 20% increase in overall survival after 12 months (OS12), assuming OS12 = 40% in the control group and OS12 = 60% in the intervention group. Secondary endpoints include hazard rate ratio of overall survival and progression-free survival, objective tumor response rate, quality of life, KPS, steroid dose, and toxicity. Toxicity, objective tumor response rate, and QoL will be assessed every 3rd month. Endpoint data will be collected at the end of the trial, including the occurrence of suspected unexpected serious adverse reactions (SUSARs), unacceptable serious adverse events (SAEs), withdrawal of consent, or loss-to-follow-up. DISCUSSION New treatment modalities are highly needed for first recurrence glioblastoma. Our proposed treatment modality of skull remodeling surgery, Tumor Treating Fields, and best practice medical oncological therapy may increase overall survival significantly. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT0422399 , registered 13. January 2020.
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Affiliation(s)
- N Mikic
- Department of Neurosurgery, Aarhus University Hospital, Palle Juul-Jensens Blvd 165, 8200, Aarhus, Denmark.
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Blvd. 82, 8200, Aarhus, Denmark.
| | - F R Poulsen
- Department of Neurosurgery, Odense University Hospital, Kløvervænget 47, 5000, Odense, Denmark
- Clinical Institute BRIDGE (Brain Research InterDisciplinary Guided Excellence), University of Southern Denmark, Winsløwparken 19, 5000, Odense, Denmark
| | - K B Kristoffersen
- Department of Oncology, Aarhus University Hospital, Palle Juul-Jensens Blvd. 99, 8200, Aarhus, Denmark
| | - R J Laursen
- Department of Neurosurgery, Aalborg University Hospital, Hobrovej 18-22, 9000, Aalborg, Denmark
| | - T L Guldberg
- Department of Oncology, Aalborg University Hospital, Hobrovej 18-22, 9000, Aalborg, Denmark
| | - J Skjøth-Rasmussen
- Department of Neurosurgery, Rigshospitalet, Inge Lehmanns Vej 6, 2100, København Ø, Denmark
| | - E T Wong
- Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02215, USA
- Harvard Medical School, 25 Shattuck St, Boston, MA, 02115, USA
| | - S Møller
- Department of Oncology, Rigshospitalet, Blegdamsvej 9, 2100, København Ø, Denmark
| | - R H Dahlrot
- Department of Oncology, Odense University Hospital, Kløvervænget 19, 5000, Odense, Denmark
| | - J C H Sørensen
- Department of Neurosurgery, Aarhus University Hospital, Palle Juul-Jensens Blvd 165, 8200, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Blvd. 82, 8200, Aarhus, Denmark
| | - A R Korshøj
- Department of Neurosurgery, Aarhus University Hospital, Palle Juul-Jensens Blvd 165, 8200, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Blvd. 82, 8200, Aarhus, Denmark
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Nour Y, Pöttgen C, Kebir S, Lazaridis L, Lüdemann L, Guberina M, Gauler T, Scheffler B, Jabbarli R, Pierscianek D, Sure U, Schmidt T, Oster C, Hau P, Glas M, Lübcke W, Stuschke M, Guberina N. Dosimetric impact of the positioning variation of tumor treating field electrodes in the PriCoTTF-phase I/II trial. J Appl Clin Med Phys 2021; 22:242-250. [PMID: 33389825 PMCID: PMC7856507 DOI: 10.1002/acm2.13144] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 11/06/2020] [Accepted: 12/04/2020] [Indexed: 12/25/2022] Open
Abstract
Purpose The aim of the present study based on the PriCoTTF‐phase I/II trial is the quantification of skin‐normal tissue complication probabilities of patients with newly diagnosed glioblastoma multiforme treated with Tumor Treating Field (TTField) electrodes, concurrent radiotherapy, and temozolomide. Furthermore, the skin‐sparing effect by the clinically applied strategy of repetitive transducer array fixation around their center position shall be examined. Material and Methods Low‐dose cone‐beam computed tomography (CBCT) scans of all fractions of the first seven patients of the PriCoTTF‐phase I/II trial, used for image guidance, were applied for the dosimetric analysis, for precise TTField transducer array positioning and contour delineation. Within this trial, array positioning was varied from fixation‐to‐fixation period with a standard deviation of 1.1 cm in the direction of the largest variation of positioning and 0.7 cm in the perpendicular direction. Physical TTField electrode composition was examined and a respective Hounsfield Unit attributed to the TTField electrodes. Dose distributions in the planning CT with TTField electrodes in place, as derived from prefraction CBCTs, were calculated and accumulated with the algorithm Acuros XB. Dose‐volume histograms were obtained for the first and second 2 mm scalp layer with and without migrating electrodes and compared with those with fixed electrodes in an average position. Skin toxicity was quantified according to Lyman's model. Minimum doses in hot‐spots of 0.05 cm2 and 25 cm2 (ΔD0.05cm2, ΔD25cm2) size in the superficial skin layers were analyzed. Results Normal tissue complication probabilities (NTCPs) for skin necrosis ranged from 0.005% to 1.474% (median 0.111%) for the different patients without electrodes. NTCP logarithms were significantly dependent on patient (P < 0.0001) and scenario (P < 0.0001) as classification variables. Fixed positioning of TTField arrays increased skin‐NTCP by a factor of 5.50 (95%, CI: 3.66–8.27). The variation of array positioning increased skin‐NTCP by a factor of only 3.54 (95%, CI: 2.36–5.32) (P < 0.0001, comparison to irradiation without electrodes; P = 0.036, comparison to irradiation with fixed electrodes). NTCP showed a significant rank correlation with D25cm2 over all patients and scenarios (rs = 0.76; P < 0.0001). Conclusion Skin‐NTCP calculation uncovers significant interpatient heterogeneity and may be used to stratify patients into high‐ and low‐risk groups of skin toxicity. Array position variation may mitigate about one‐third of the increase in surface dose and skin‐NTCP by the TTField electrodes.
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Affiliation(s)
- Youness Nour
- Department of Radiotherapy, West German Cancer Center, University Hospital Essen, University of Duisburg, Essen, Germany
| | - Christoph Pöttgen
- Department of Radiotherapy, West German Cancer Center, University Hospital Essen, University of Duisburg, Essen, Germany
| | - Sied Kebir
- Division of Clinical Neurooncology, Department of Neurology and West German Cancer Center, University Hospital Essen, University of Duisburg, Essen, Germany
| | - Lazaros Lazaridis
- Division of Clinical Neurooncology, Department of Neurology and West German Cancer Center, University Hospital Essen, University of Duisburg, Essen, Germany
| | - Lutz Lüdemann
- Department of Radiotherapy, West German Cancer Center, University Hospital Essen, University of Duisburg, Essen, Germany
| | - Maja Guberina
- Department of Radiotherapy, West German Cancer Center, University Hospital Essen, University of Duisburg, Essen, Germany
| | - Thomas Gauler
- Department of Radiotherapy, West German Cancer Center, University Hospital Essen, University of Duisburg, Essen, Germany
| | - Björn Scheffler
- DKFZ-Division Translational Neurooncology at the West German Cancer Centre (WTZ), German Cancer Consortium (DKTK), Partner Site University Hospital Essen, University of Duisburg, Essen, Germany.,German Cancer Consortium (DKTK), Partner Site University Hospital Essen, Germany
| | - Ramazan Jabbarli
- Department of Neurosurgery, University Hospital Essen, University of Duisburg, Essen, Germany
| | - Daniela Pierscianek
- Department of Neurosurgery, University Hospital Essen, University of Duisburg, Essen, Germany
| | - Ulrich Sure
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, Germany.,Department of Neurosurgery, University Hospital Essen, University of Duisburg, Essen, Germany
| | - Teresa Schmidt
- Division of Clinical Neurooncology, Department of Neurology and West German Cancer Center, University Hospital Essen, University of Duisburg, Essen, Germany
| | - Christoph Oster
- Division of Clinical Neurooncology, Department of Neurology and West German Cancer Center, University Hospital Essen, University of Duisburg, Essen, Germany
| | - Peter Hau
- Department of Neurology and Wilhelm Sander-NeuroOncology Unit, Regensburg University Hospital, Germany
| | - Martin Glas
- Division of Clinical Neurooncology, Department of Neurology and West German Cancer Center, University Hospital Essen, University of Duisburg, Essen, Germany.,German Cancer Consortium (DKTK), Partner Site University Hospital Essen, Germany
| | - Wolfgang Lübcke
- Department of Radiotherapy, West German Cancer Center, University Hospital Essen, University of Duisburg, Essen, Germany
| | - Martin Stuschke
- Department of Radiotherapy, West German Cancer Center, University Hospital Essen, University of Duisburg, Essen, Germany.,German Cancer Consortium (DKTK), Partner Site University Hospital Essen, Germany
| | - Nika Guberina
- Department of Radiotherapy, West German Cancer Center, University Hospital Essen, University of Duisburg, Essen, Germany
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Lang ST, Gan LS, McLennan C, Monchi O, Kelly JJP. Impact of Peritumoral Edema During Tumor Treatment Field Therapy: A Computational Modelling Study. IEEE Trans Biomed Eng 2020; 67:3327-3338. [PMID: 32286953 DOI: 10.1109/tbme.2020.2983653] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Tumor treatment fields (TTFie-lds) are an approved adjuvant therapy for glioblastoma (GBM). The magnitude of applied electrical field has been shown to be related to the anti-tumoral response. However, peritumoral edema may result in shunting of electrical current around the tumor, thereby reducing the intra-tumoral electric field. In this study, we systematically address this issue with computational simulations. METHODS Finite element models are created of a human head with varying amounts of peritumoral edema surrounding a virtual tumor. The electric field distribution was simulated using the standard TTFields electrode montage. Electric field magnitude was extracted from the tumor and related to edema thickness. Two patient specific models were created to confirm these results. RESULTS The inclusion of peritumoral edema decreased the average magnitude of the electric field within the tumor. In the model considering a frontal tumor and an anterior-posterior electrode configuration, ≥6 mm of peritumoral edema decreased the electric field by 52%. In the patient specific models, peritumoral edema decreased the electric field magnitude within the tumor by an average of 26%. The effect of peritumoral edema on the electric field distribution was spatially heterogenous, being most significant at the tissue interface between edema and tumor. CONCLUSIONS The inclusion of peritumoral edema during TTFields modelling may have a dramatic effect on the predicted electric field magnitude within the tumor. Given the importance of electric field magnitude for the anti-tumoral effects of TTFields, the presence of edema should be considered both in future modelling studies and when planning TTField therapy.
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Korshoej AR, Lukacova S, Lassen-Ramshad Y, Rahbek C, Severinsen KE, Guldberg TL, Mikic N, Jensen MH, Cortnum SOS, von Oettingen G, Sørensen JCH. OptimalTTF-1: Enhancing tumor treating fields therapy with skull remodeling surgery. A clinical phase I trial in adult recurrent glioblastoma. Neurooncol Adv 2020; 2:vdaa121. [PMID: 33215088 PMCID: PMC7660275 DOI: 10.1093/noajnl/vdaa121] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Preclinical studies suggest that skull remodeling surgery (SR-surgery) increases the dose of tumor treating fields (TTFields) in glioblastoma (GBM) and prevents wasteful current shunting through the skin. SR-surgery introduces minor skull defects to focus the cancer-inhibiting currents toward the tumor and increase the treatment dose. This study aimed to test the safety and feasibility of this concept in a phase I setting. METHODS Fifteen adult patients with the first recurrence of GBM were treated with personalized SR-surgery, TTFields, and physician's choice oncological therapy. The primary endpoint was toxicity and secondary endpoints included standard efficacy outcomes. RESULTS SR-surgery resulted in a mean skull defect area of 10.6 cm2 producing a median TTFields enhancement of 32% (range 25-59%). The median TTFields treatment duration was 6.8 months and the median compliance rate 90%. Patients received either bevacizumab, bevacizumab/irinotecan, or temozolomide rechallenge. We observed 71 adverse events (AEs) of grades 1 (52%), 2 (35%), and 3 (13%). There were no grade 4 or 5 AEs or intervention-related serious AEs. Six patients experienced minor TTFields-induced skin rash. The median progression-free survival (PFS) was 4.6 months and the PFS rate at 6 months was 36%. The median overall survival (OS) was 15.5 months and the OS rate at 12 months was 55%. CONCLUSIONS TTFields therapy combined with SR-surgery and medical oncological treatment is safe and nontoxic and holds the potential to improve the outcome for GBM patients through focal dose enhancement in the tumor.
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Affiliation(s)
- Anders Rosendal Korshoej
- Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Slavka Lukacova
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | | | - Christian Rahbek
- Department of Neuroradiology, Aarhus University Hospital, Aarhus Denmark
| | | | | | - Nikola Mikic
- Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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Korshoej AR, Sørensen JCH, von Oettingen G, Poulsen FR, Thielscher A. Optimization of tumor treating fields using singular value decomposition and minimization of field anisotropy. ACTA ACUST UNITED AC 2019; 64:04NT03. [DOI: 10.1088/1361-6560/aafe54] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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