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Swinnen L, Chatzichristos C, Bhagubai M, Broux V, Zabler N, Dümpelmann M, Schulze-Bonhage A, De Vos M, Van Paesschen W. Home recording of 3-Hz spike-wave discharges in adults with absence epilepsy using the wearable Sensor Dot. Epilepsia 2024; 65:378-388. [PMID: 38036450 DOI: 10.1111/epi.17839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 11/17/2023] [Accepted: 11/28/2023] [Indexed: 12/02/2023]
Abstract
OBJECTIVE Home monitoring of 3-Hz spike-wave discharges (SWDs) in patients with refractory absence epilepsy could improve clinical care by replacing the inaccurate seizure diary with objective counts. We investigated the use and performance of the Sensor Dot (Byteflies) wearable in persons with absence epilepsy in their home environment. METHODS Thirteen participants (median age = 22 years, 11 female) were enrolled at the university hospitals of Leuven and Freiburg. At home, participants had to attach the Sensor Dot and behind-the-ear electrodes to record two-channel electroencephalogram (EEG), accelerometry, and gyroscope data. Ground truth annotations were created during a visual review of the full Sensor Dot recording. Generalized SWDs were annotated if they were 3 Hz and at least 3 s on EEG. Potential 3-Hz SWDs were flagged by an automated seizure detection algorithm, (1) using only EEG and (2) with an additional postprocessing step using accelerometer and gyroscope to discard motion artifacts. Afterward, two readers (W.V.P. and L.S.) reviewed algorithm-labeled segments and annotated true positive detections. Sensitivity, precision, and F1 score were calculated. Patients had to keep a seizure diary and complete questionnaires about their experiences. RESULTS Total recording time was 394 h 42 min. Overall, 234 SWDs were captured in 11 of 13 participants. Review of the unimodal algorithm-labeled recordings resulted in a mean sensitivity of .84, precision of .93, and F1 score of .89. Visual review of the multimodal algorithm-labeled segments resulted in a similar F1 score and shorter review time due to fewer false positive labels. Participants reported that the device was comfortable and that they would be willing to wear it on demand of their neurologist, for a maximum of 1 week or with intermediate breaks. SIGNIFICANCE The Sensor Dot improved seizure documentation at home, relative to patient self-reporting. Additional benefits were the short review time and the patients' device acceptance due to user-friendliness and comfortability.
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Affiliation(s)
- Lauren Swinnen
- Laboratory for Epilepsy Research, KU Leuven, Leuven, Belgium
| | - Christos Chatzichristos
- Department of Electrical Engineering, Stadius Center for Dynamical Systems, Signal Processing, and Data Analytics, KU Leuven, Leuven, Belgium
| | - Miguel Bhagubai
- Department of Electrical Engineering, Stadius Center for Dynamical Systems, Signal Processing, and Data Analytics, KU Leuven, Leuven, Belgium
| | - Victoria Broux
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Nicolas Zabler
- Epilepsy Center, Department of Neurosurgery, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Matthias Dümpelmann
- Epilepsy Center, Department of Neurosurgery, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Andreas Schulze-Bonhage
- Epilepsy Center, Department of Neurosurgery, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Maarten De Vos
- Department of Electrical Engineering, Stadius Center for Dynamical Systems, Signal Processing, and Data Analytics, KU Leuven, Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Wim Van Paesschen
- Laboratory for Epilepsy Research, KU Leuven, Leuven, Belgium
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
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Macea J, Bhagubai M, Broux V, De Vos M, Van Paesschen W. In-hospital and home-based long-term monitoring of focal epilepsy with a wearable electroencephalographic device: Diagnostic yield and user experience. Epilepsia 2023; 64:937-950. [PMID: 36681896 DOI: 10.1111/epi.17517] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 01/02/2023] [Accepted: 01/19/2023] [Indexed: 01/23/2023]
Abstract
OBJECTIVE The aim is to report the performance of an electroencephalogram (EEG) seizure-detector algorithm on data obtained with a wearable device (WD) in patients with focal refractory epilepsy and their experience. METHODS Patients used a WD, the Sensor Dot (SD), to measure two channels of EEG using dry electrode patches during presurgical evaluation and at home for up to 8 months. An automated seizure detection algorithm flagged EEG regions with possible seizures, which we reviewed to evaluate the algorithm's diagnostic yield. In addition, we collected data on usability, side effects, and patient satisfaction with an electronic seizure diary application (Helpilepsy). RESULTS Sixteen inpatients used the SD for up to 5 days and had 21 seizures. Sixteen outpatients used the device for up to 8 months and reported 101 focal impaired awareness seizures during the periods selected for analysis. Focal seizure detection sensitivity based on behind-the-ear EEG was 52% in inpatients and 23% in outpatients. False detections/h, positive predictive value (PPV), and F1 scores were 7.13%, .11%, and .002% for inpatients and 7.77%, .04%, and .001% for outpatients. Artifacts and low signal quality contributed to poor performance metrics. The seizure detector identified 19 nonreported seizures during sleep, when the signal quality was better. Regarding patients' experience, the likelihood of using the device at 6 months was 62%, and side effects were the main reason for dropping out. Finally, daily and monthly questionnaire completion rates were 33% and 65%, respectively. SIGNIFICANCE Focal seizure detection sensitivity based on behind-the-ear EEG was 52% in inpatients and 23% in outpatients, with high false alarm rates and low PPV and F1 scores. This unobtrusive wearable seizure detection device was well received but had side effects. The current workflow and low performance limit its implementation in clinical practice. We suggest different steps to improve these performance metrics and patient experience.
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Affiliation(s)
- Jaiver Macea
- Laboratory for Epilepsy Research, Department of Neurosciences and Leuven Brain Institute, KU Leuven, Leuven, Belgium.,Department of Neurology, Leuven University Hospitals, Leuven, Belgium
| | - Miguel Bhagubai
- Department of Electrical Engineering, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium
| | - Victoria Broux
- Department of Neurology, Leuven University Hospitals, Leuven, Belgium
| | - Maarten De Vos
- Department of Electrical Engineering, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium.,Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Wim Van Paesschen
- Laboratory for Epilepsy Research, Department of Neurosciences and Leuven Brain Institute, KU Leuven, Leuven, Belgium.,Department of Neurology, Leuven University Hospitals, Leuven, Belgium
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Zhang J, Chatzichristos C, Vandecasteele K, Swinnen L, Broux V, Cleeren E, Van Paesschen W, De Vos M. Automatic annotation correction for wearable EEG based epileptic seizure detection. J Neural Eng 2022; 19. [PMID: 35158349 DOI: 10.1088/1741-2552/ac54c1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 02/14/2022] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Video-electroencephalography (vEEG), which defines the ground truth for the detection of epileptic seizures, is inadequate for long-term home monitoring. Thanks to their advantages in comfort and unobtrusiveness, wearable EEG devices have been suggested as a solution for home monitoring. However, one of the challenges in data-driven automated seizure detection with wearable EEG data is to have reliable seizure annotations. Seizure annotations on the gold-standard 25-channel vEEG recordings may not be optimal to delineate seizure activity on the concomitantly recorded wearable EEG, due to artifacts or absence of ictal activity on the limited set of electrodes of the wearable EEG. This paper aims to develop an automatic approach to correct the imperfect annotations of seizure activity on wearable EEG, which can be used to train seizure detection algorithms. APPROACH This paper first investigates the effectiveness of correcting the seizure annotations for the training set with a visual annotation correction. Then a novel approach has been proposed to automatically remove non-seizure data from wearable EEG in epochs annotated as seizures in gold-standard video-EEG recordings. The performance of the automatic annotation correction approach was evaluated by comparing the seizure detection models trained with 1. original vEEG seizure annotations, 2. visually corrected seizure annotations, and 3. automatically corrected seizure annotations. RESULTS The automatic seizure detection approach trained with automatically corrected seizure annotations was more sensitive and had fewer false-positive detections compared to the approach trained with visually corrected seizure annotations, and the approach trained with the original seizure annotations from gold-standard vEEG. SIGNIFICANCE The wearable EEG seizure detection approach performs better when trained with automatic seizure annotation correction.
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Affiliation(s)
- Jingwei Zhang
- Department of Electrical Engineering, STADIUS, KU Leuven, Kasteelpark Arenberg 10, Leuven, Flanders, 3000, BELGIUM
| | - Christos Chatzichristos
- Department of Electrical Engineering, STADIUS, KU Leuven, Kasteelpark Arenberg 10 - box 2446, Leuven, Flanders, 3000, BELGIUM
| | - Kaat Vandecasteele
- Department of Electrical Engineering, STADIUS, KU Leuven, Kasteelpark Arenberg 10, Leuven, Flanders, 3000, BELGIUM
| | - Lauren Swinnen
- KU Leuven, ON V Herestraat 49 - box 1022, Leuven, Flanders, 3000, BELGIUM
| | - Victoria Broux
- Katholieke Universiteit Leuven UZ Leuven, UZ Herestraat 49, Leuven, Flanders, 3000, BELGIUM
| | - Evy Cleeren
- Katholieke Universiteit Leuven UZ Leuven, ON II Herestraat 49 - box 1021, Leuven, Flanders, 3000, BELGIUM
| | - Wim Van Paesschen
- Katholieke Universiteit Leuven UZ Leuven, UZ Herestraat 49 - box 7003, Leuven, Flanders, 3000, BELGIUM
| | - Maarten De Vos
- Department of Electrical Engineering, KU Leuven, Kasteelpark Arenberg 10 - box 2440, Leuven, Flanders, 3000, BELGIUM
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Robijns J, Lodewijckx J, Claes S, Van Bever L, Pannekoeke L, Censabella S, Bussé L, Colson D, Kaminski I, Broux V, Puts S, Vanmechelen S, Timmermans A, Noé L, Bulens P, Govers M, Maes A, Mebis J. Response to the Comment on ‘‘Photobiomodulation therapy for the prevention of acute radiation dermatitis (RD) in head and neck cancer patients (DERMISHEAD trial)”by He et al. Radiother Oncol 2022; 169:143-144. [DOI: 10.1016/j.radonc.2022.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 01/04/2022] [Indexed: 10/19/2022]
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Swinnen L, Chatzichristos C, Jansen K, Lagae L, Depondt C, Seynaeve L, Vancaester E, Van Dycke A, Macea J, Vandecasteele K, Broux V, De Vos M, Van Paesschen W. Accurate detection of typical absence seizures in adults and children using a two-channel electroencephalographic wearable behind the ears. Epilepsia 2021; 62:2741-2752. [PMID: 34490891 PMCID: PMC9292701 DOI: 10.1111/epi.17061] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 07/09/2021] [Accepted: 08/23/2021] [Indexed: 01/17/2023]
Abstract
OBJECTIVE Patients with absence epilepsy sensitivity <10% of their absences. The clinical gold standard to assess absence epilepsy is a 24-h electroencephalographic (EEG) recording, which is expensive, obtrusive, and time-consuming to review. We aimed to (1) investigate the performance of an unobtrusive, two-channel behind-the-ear EEG-based wearable, the Sensor Dot (SD), to detect typical absences in adults and children; and (2) develop a sensitive patient-specific absence seizure detection algorithm to reduce the review time of the recordings. METHODS We recruited 12 patients (median age = 21 years, range = 8-50; seven female) who were admitted to the epilepsy monitoring units of University Hospitals Leuven for a 24-h 25-channel video-EEG recording to assess their refractory typical absences. Four additional behind-the-ear electrodes were attached for concomitant recording with the SD. Typical absences were defined as 3-Hz spike-and-wave discharges on EEG, lasting 3 s or longer. Seizures on SD were blindly annotated on the full recording and on the algorithm-labeled file and consequently compared to 25-channel EEG annotations. Patients or caregivers were asked to keep a seizure diary. Performance of the SD and seizure diary were measured using the F1 score. RESULTS We concomitantly recorded 284 absences on video-EEG and SD. Our absence detection algorithm had a sensitivity of .983 and false positives per hour rate of .9138. Blind reading of full SD data resulted in sensitivity of .81, precision of .89, and F1 score of .73, whereas review of the algorithm-labeled files resulted in scores of .83, .89, and .87, respectively. Patient self-reporting gave sensitivity of .08, precision of 1.00, and F1 score of .15. SIGNIFICANCE Using the wearable SD, epileptologists were able to reliably detect typical absence seizures. Our automated absence detection algorithm reduced the review time of a 24-h recording from 1-2 h to around 5-10 min.
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Affiliation(s)
- Lauren Swinnen
- Laboratory for Epilepsy Research, KU Leuven and Department of Neurology, University Hospitals, Leuven, Belgium
| | - Christos Chatzichristos
- Department of Electrical Engineering, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium
| | - Katrien Jansen
- Department Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Lieven Lagae
- Department Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Chantal Depondt
- Department of Neurology, Hôpital Erasme, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Laura Seynaeve
- Department of Neurology, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.,Neuroprotection and Neuromodulation, Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | | | | | - Jaiver Macea
- Laboratory for Epilepsy Research, KU Leuven and Department of Neurology, University Hospitals, Leuven, Belgium
| | - Kaat Vandecasteele
- Department of Electrical Engineering, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium
| | - Victoria Broux
- Laboratory for Epilepsy Research, KU Leuven and Department of Neurology, University Hospitals, Leuven, Belgium
| | - Maarten De Vos
- Department of Electrical Engineering, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium.,Department Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Wim Van Paesschen
- Laboratory for Epilepsy Research, KU Leuven and Department of Neurology, University Hospitals, Leuven, Belgium
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Robijns J, Lodewijckx J, Claes S, Van Bever L, Pannekoeke L, Censabella S, Bussé L, Colson D, Kaminski I, Broux V, Puts S, Vanmechelen S, Timmermans A, Noé L, Bulens P, Govers M, Maes A, Mebis J. Response to the Comment on "Photobiomodulation therapy for the prevention of acute radiation dermatitis (RD) in head and neck cancer patients (DERMISHEAD trial)" by Baiocchi et al. Radiother Oncol 2021; 163:242-243. [PMID: 34274395 DOI: 10.1016/j.radonc.2021.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 07/05/2021] [Indexed: 10/20/2022]
Affiliation(s)
- Jolien Robijns
- Faculty of Medicine & Life Sciences, Hasselt University, Belgium.
| | - Joy Lodewijckx
- Faculty of Medicine & Life Sciences, Hasselt University, Belgium
| | - Stefan Claes
- Limburg Oncology Center, Jessa Hospital - Campus Virga Jesse, Hasselt, Belgium
| | - Leen Van Bever
- Limburg Oncology Center, Jessa Hospital - Campus Virga Jesse, Hasselt, Belgium
| | - Luc Pannekoeke
- Limburg Oncology Center, Jessa Hospital - Campus Virga Jesse, Hasselt, Belgium
| | - Sandrine Censabella
- Limburg Oncology Center, Jessa Hospital - Campus Virga Jesse, Hasselt, Belgium
| | - Lore Bussé
- Faculty of Medicine & Life Sciences, Hasselt University, Belgium
| | - Dora Colson
- Faculty of Medicine & Life Sciences, Hasselt University, Belgium
| | - Iris Kaminski
- Faculty of Medicine & Life Sciences, Hasselt University, Belgium
| | - Victoria Broux
- Faculty of Medicine & Life Sciences, Hasselt University, Belgium
| | - Sofie Puts
- Faculty of Medicine & Life Sciences, Hasselt University, Belgium
| | | | - An Timmermans
- Department of Dermatology, Jessa Hospital, Hasselt, Belgium
| | - Leen Noé
- Limburg Oncology Center, Jessa Hospital - Campus Virga Jesse, Hasselt, Belgium
| | - Paul Bulens
- Limburg Oncology Center, Jessa Hospital - Campus Virga Jesse, Hasselt, Belgium
| | - Mieke Govers
- Limburg Oncology Center, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Annelies Maes
- Limburg Oncology Center, Jessa Hospital - Campus Virga Jesse, Hasselt, Belgium; Limburg Oncology Center, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Jeroen Mebis
- Faculty of Medicine & Life Sciences, Hasselt University, Belgium; Department of Medical Oncology, Jessa Hospital, Hasselt, Belgium
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Robijns J, Lodewijckx J, Claes S, Van Bever L, Pannekoeke L, Censabella S, Bussé L, Colson D, Kaminski I, Broux V, Puts S, Vanmechelen S, Timmermans A, Noé L, Bulens P, Govers M, Maes A, Mebis J. Response to the Letter to the editor by Donnelly et al. regarding the article "Photobiomodulation therapy for the prevention of acute radiation dermatitis in head and neck cancer patients (DERMISHEAD trial)". Radiother Oncol 2021; 161:255-256. [PMID: 34119590 DOI: 10.1016/j.radonc.2021.06.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 06/04/2021] [Indexed: 10/21/2022]
Affiliation(s)
- Jolien Robijns
- Faculty of Medicine & Life Sciences, Hasselt University, Belgium.
| | - Joy Lodewijckx
- Faculty of Medicine & Life Sciences, Hasselt University, Belgium
| | - Stefan Claes
- Limburg Oncology Center, Jessa Hospital - Campus Virga Jesse, Hasselt, Belgium
| | - Leen Van Bever
- Limburg Oncology Center, Jessa Hospital - Campus Virga Jesse, Hasselt, Belgium
| | - Luc Pannekoeke
- Limburg Oncology Center, Jessa Hospital - Campus Virga Jesse, Hasselt, Belgium
| | - Sandrine Censabella
- Limburg Oncology Center, Jessa Hospital - Campus Virga Jesse, Hasselt, Belgium
| | - Lore Bussé
- Faculty of Medicine & Life Sciences, Hasselt University, Belgium
| | - Dora Colson
- Faculty of Medicine & Life Sciences, Hasselt University, Belgium
| | - Iris Kaminski
- Faculty of Medicine & Life Sciences, Hasselt University, Belgium
| | - Victoria Broux
- Faculty of Medicine & Life Sciences, Hasselt University, Belgium
| | - Sofie Puts
- Faculty of Medicine & Life Sciences, Hasselt University, Belgium
| | | | - An Timmermans
- Department of Dermatology, Jessa Hospital, Hasselt, Belgium
| | - Leen Noé
- Limburg Oncology Center, Jessa Hospital - Campus Virga Jesse, Hasselt, Belgium
| | - Paul Bulens
- Limburg Oncology Center, Jessa Hospital - Campus Virga Jesse, Hasselt, Belgium
| | - Mieke Govers
- Limburg Oncology Center, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Annelies Maes
- Limburg Oncology Center, Jessa Hospital - Campus Virga Jesse, Hasselt, Belgium; Limburg Oncology Center, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Jeroen Mebis
- Faculty of Medicine & Life Sciences, Hasselt University, Belgium; Department of Medical Oncology, Jessa Hospital, Hasselt, Belgium
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Nijs K, Lismont A, De Wachter G, Broux V, Callebaut I, Ory JP, Jalil H, Poelaert J, Van de Velde M, Stessel B. The analgesic efficacy of forearm versus upper arm intravenous regional anesthesia (Bier's block): A randomized controlled non-inferiority trial. J Clin Anesth 2021; 73:110329. [PMID: 33962340 DOI: 10.1016/j.jclinane.2021.110329] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 04/19/2021] [Accepted: 04/21/2021] [Indexed: 11/18/2022]
Abstract
STUDY OBJECTIVE This study aimed to assess if a forearm (FA) intravenous regional anesthesia (IVRA) with a lower, less toxic, local anesthetic dosage is non-inferior to an upper arm (UA) IVRA in providing a surgical block in patients undergoing hand and wrist surgery. DESIGN Observer-blinded, randomized non-inferiority study. SETTING Operating room. PATIENTS 280 patients undergoing hand surgery were randomly assigned to UA IVRA (n = 140) or FA IVRA (n = 140). INTERVENTIONS Forearm IVRA or upper arm IVRA in patients undergoing hand and wrist surgery. MEASUREMENTS The primary outcome was block success rate of both techniques. Block success was defined as no need of additional analgesics. A second, alternative non-inferiority outcome was defined as no need of conversion to general anesthesia. A difference in success rate of <5% was considered non-inferior. Secondary endpoints were tourniquet pain measured with a Numerical Rating Scale (0-10), satisfaction of patients and surgeons, onset time, surgical time and total OR time. MAIN RESULTS Non-inferiority of block success rate, defined as no need of additional analgesics or conversion to general anesthesia was inconclusive (5.24%, 95% CI:-4.34%,+14.82%). Non-inferiority of no need of conversion to general anesthesia was confirmed (+0.73%, 95% CI:-0.69%,+2.15%). No differences were observed in onset time (FA: 5 (5, 8) vs UA: 6 (5, 7) min, p = 0.74), surgical time (FA: 8 (5, 12) vs UA: 7 (5, 11) min, p = 0.71), nor total OR stay time (FA: 34 (27, 41) vs UA: 35 (32, 39) min, p = 0.09). Tourniquet pain after 10 min was significantly lower after FA IVRA compared to UA IVRA (FA: 2.00 (0.00, 4.00) vs UA: 3.00 (1.00,5.00) min, p = 0.003). CONCLUSION We failed to demonstrate non-inferiority of forearm IVRA with a lower dosage of LA in providing a surgical block without rescue opioids and LA. Non-inferiority of no need of conversion to general anesthesia was confirmed.
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Affiliation(s)
- Kristof Nijs
- Department of Anaesthesiology and Pain Medicine, Jessa Hospital, Hasselt, Belgium; UHasselt, Faculty of Medicine and Life Sciences, Diepenbeek, Belgium; KULeuven, Department of Cardiovascular Sciences, Leuven, Belgium; Department of Anaesthesiology and Pain Medicine, University Hospitals Leuven, Leuven, Belgium.
| | - André Lismont
- Department of Anaesthesiology and Pain Medicine, Jessa Hospital, Hasselt, Belgium; Pain Clinic, Department of Anaesthesiology and Perioperative Medicine, Vrije Universiteit Brussel (VUB), University Hospital Brussels (UZ Brussel), Brussels, Belgium
| | | | - Victoria Broux
- Department of Anaesthesiology and Pain Medicine, Jessa Hospital, Hasselt, Belgium
| | - Ina Callebaut
- Department of Anaesthesiology and Pain Medicine, Jessa Hospital, Hasselt, Belgium; UHasselt, Faculty of Medicine and Life Sciences, Diepenbeek, Belgium
| | - Jean-Paul Ory
- Department of Anaesthesiology and Pain Medicine, Jessa Hospital, Hasselt, Belgium
| | - Hassanin Jalil
- Department of Anaesthesiology and Pain Medicine, Jessa Hospital, Hasselt, Belgium
| | - Jan Poelaert
- Pain Clinic, Department of Anaesthesiology and Perioperative Medicine, Vrije Universiteit Brussel (VUB), University Hospital Brussels (UZ Brussel), Brussels, Belgium
| | - Marc Van de Velde
- KULeuven, Department of Cardiovascular Sciences, Leuven, Belgium; Department of Anaesthesiology and Pain Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Björn Stessel
- Department of Anaesthesiology and Pain Medicine, Jessa Hospital, Hasselt, Belgium; UHasselt, Faculty of Medicine and Life Sciences, Diepenbeek, Belgium
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Robijns J, Lodewijckx J, Claes S, Van Bever L, Pannekoeke L, Censabella S, Bussé L, Colson D, Kaminski I, Broux V, Puts S, Vanmechelen S, Timmermans A, Noé L, Bulens P, Govers M, Maes A, Mebis J. Photobiomodulation therapy for the prevention of acute radiation dermatitis in head and neck cancer patients (DERMISHEAD trial). Radiother Oncol 2021; 158:268-275. [DOI: 10.1016/j.radonc.2021.03.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 02/26/2021] [Accepted: 03/04/2021] [Indexed: 12/25/2022]
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Robijns J, Censabella S, Claes S, Pannekoeke L, Bussé L, Colson D, Kaminski I, Broux V, Lodewijckx J, Puts S, Bulens P, Maes A, Noé L, Brosens M, Timmermans A, Lambrichts I, Somers V, Mebis J. Letter to the Editor concerning the article "Application of red light phototherapy in the treatment of radioactive dermatitis in patients with head and neck cancer". World J Surg Oncol 2019; 17:57. [PMID: 30904020 PMCID: PMC6431425 DOI: 10.1186/s12957-019-1603-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Accepted: 03/18/2019] [Indexed: 01/19/2023] Open
Abstract
The aim of this Letter to the Editor was to report some methodological shortcomings in the recently published article “Application of red light phototherapy in the treatment of radioactive dermatitis in patients with head and neck cancer” by Zhang et al. There are some issues regarding the incomplete photobiomodulation (PBM) parameters, the chosen outcome measures, and some missing reference articles. In conclusion, the results of this study should be interpreted with caution and further research is necessary.
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Affiliation(s)
- Jolien Robijns
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium.
| | - Sandrine Censabella
- Department of Medical Oncology, Jessa Hospital, Stadsomvaart 11, Hasselt, Belgium
| | - Stefan Claes
- Limburg Oncology Centre, Jessa Hospital, Stadsomvaart 11, Hasselt, Belgium
| | - Luc Pannekoeke
- Limburg Oncology Centre, Jessa Hospital, Stadsomvaart 11, Hasselt, Belgium
| | - Lore Bussé
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium
| | - Dora Colson
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium
| | - Iris Kaminski
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium
| | - Victoria Broux
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium
| | - Joy Lodewijckx
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium
| | - Sofie Puts
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium
| | - Paul Bulens
- Department of Medical Oncology, Jessa Hospital, Stadsomvaart 11, Hasselt, Belgium.,Limburg Oncology Centre, Jessa Hospital, Stadsomvaart 11, Hasselt, Belgium
| | - Annelies Maes
- Department of Medical Oncology, Jessa Hospital, Stadsomvaart 11, Hasselt, Belgium.,Limburg Oncology Centre, Jessa Hospital, Stadsomvaart 11, Hasselt, Belgium
| | - Leen Noé
- Department of Medical Oncology, Jessa Hospital, Stadsomvaart 11, Hasselt, Belgium.,Limburg Oncology Centre, Jessa Hospital, Stadsomvaart 11, Hasselt, Belgium
| | - Marc Brosens
- Department of Medical Oncology, Jessa Hospital, Stadsomvaart 11, Hasselt, Belgium.,Limburg Oncology Centre, Jessa Hospital, Stadsomvaart 11, Hasselt, Belgium
| | - An Timmermans
- Department of Dermatology, Jessa Hospital, Stadsomvaart 11, Hasselt, Belgium
| | - Ivo Lambrichts
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium
| | - Veerle Somers
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium
| | - Jeroen Mebis
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium.,Department of Medical Oncology, Jessa Hospital, Stadsomvaart 11, Hasselt, Belgium.,Limburg Oncology Centre, Jessa Hospital, Stadsomvaart 11, Hasselt, Belgium
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