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Zheng K, Murphy MC, Camerucci E, Plitt AR, Shan X, Sui Y, Manduca A, Van Gompel JJ, Ehman RL, Huston J, Yin Z. Improved quantification of tumor adhesion in meningiomas using MR elastography-based slip interface imaging. PLoS One 2024; 19:e0305247. [PMID: 38917107 PMCID: PMC11198761 DOI: 10.1371/journal.pone.0305247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 05/27/2024] [Indexed: 06/27/2024] Open
Abstract
Meningiomas, the most prevalent primary benign intracranial tumors, often exhibit complicated levels of adhesion to adjacent normal tissues, significantly influencing resection and causing postoperative complications. Surgery remains the primary therapeutic approach, and when combined with adjuvant radiotherapy, it effectively controls residual tumors and reduces tumor recurrence when complete removal may cause a neurologic deficit. Previous studies have indicated that slip interface imaging (SII) techniques based on MR elastography (MRE) have promise as a method for sensitively determining the presence of tumor-brain adhesion. In this study, we developed and tested an improved algorithm for assessing tumor-brain adhesion, based on recognition of patterns in MRE-derived normalized octahedral shear strain (NOSS) images. The primary goal was to quantify the tumor interfaces at higher risk for adhesion, offering a precise and objective method to assess meningioma adhesions in 52 meningioma patients. We also investigated the predictive value of MRE-assessed tumor adhesion in meningioma recurrence. Our findings highlight the effectiveness of the improved SII technique in distinguishing the adhesion degrees, particularly complete adhesion. Statistical analysis revealed significant differences in adhesion percentages between complete and partial adherent tumors (p = 0.005), and complete and non-adherent tumors (p<0.001). The improved technique demonstrated superior discriminatory ability in identifying tumor adhesion patterns compared to the previously described algorithm, with an AUC of 0.86 vs. 0.72 for distinguishing complete adhesion from others (p = 0.037), and an AUC of 0.72 vs. 0.67 for non-adherent and others. Aggressive tumors exhibiting atypical features showed significantly higher adhesion percentages in recurrence group compared to non-recurrence group (p = 0.042). This study validates the efficacy of the improved SII technique in quantifying meningioma adhesions and demonstrates its potential to affect clinical decision-making. The reliability of the technique, coupled with potential to help predict meningioma recurrence, particularly in aggressive tumor subsets, highlights its promise in guiding treatment strategies.
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Affiliation(s)
- Keni Zheng
- Radiology, Mayo Clinic, Rochester, MN, United States of America
| | | | | | - Aaron R. Plitt
- Neurosurgery, Mayo Clinic, Rochester, MN, United States of America
| | - Xiang Shan
- Radiology, Mayo Clinic, Rochester, MN, United States of America
| | - Yi Sui
- Radiology, Mayo Clinic, Rochester, MN, United States of America
| | - Armando Manduca
- Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States of America
| | - Jamie J. Van Gompel
- Neurosurgery, Mayo Clinic, Rochester, MN, United States of America
- Otolaryngology, Mayo Clinic, Rochester, MN, United States of America
| | | | - John Huston
- Radiology, Mayo Clinic, Rochester, MN, United States of America
| | - Ziying Yin
- Radiology, Mayo Clinic, Rochester, MN, United States of America
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Corvino S, Altieri R, La Rocca G, Piazza A, Corazzelli G, Palmiero C, Mariniello G, Maiuri F, Elefante A, de Divitiis O. Topographic Patterns of Intracranial Meningioma Recurrences-Systematic Review with Clinical Implication. Cancers (Basel) 2024; 16:2267. [PMID: 38927972 PMCID: PMC11201517 DOI: 10.3390/cancers16122267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2024] [Revised: 06/14/2024] [Accepted: 06/15/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND While several risk factors for recurrences have been defined, the topographic pattern of meningioma recurrences after surgical resection has been scarcely investigated. The possibility of theoretically predicting the site of recurrence not only allows us to better understand the pathogenetic bases of the disease and consequently to drive the development of new targeted therapies, but also guides the decision-making process for treatment strategies and tailored follow-ups to decrease/prevent recurrence. METHODS The authors performed a comprehensive and detailed systematic literature review of the EMBASE and MEDLINE electronic online databases regarding the topographic pattern of recurrence after surgical treatment for intracranial meningiomas. Demographics and histopathological, neuroradiological and treatment data, pertinent to the topography of recurrences, as well as time to recurrences, were extracted and analyzed. RESULTS Four studies, including 164 cases of recurrences according to the inclusion criteria, were identified. All studies consider the possibility of recurrence at the previous dural site; three out of four, which are the most recent, consider 1 cm outside the previous dural margin to be the main limit to distinguish recurrences closer to the previous site from those more distant. Recurrences mainly occur within or close to the surgical bed; higher values of proliferation index are associated with recurrences close to the original site rather than within it. CONCLUSIONS Further studies, including genomic characterization of different patterns of recurrence, will better clarify the main features affecting the topography of recurrences. A comparison between topographic classifications of intracranial meningioma recurrences after surgery and after radiation treatment could provide further interesting information.
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Affiliation(s)
- Sergio Corvino
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, Neurosurgical Division, Università di Napoli Federico II, 80131 Naples, Italy; (G.C.); (C.P.); (G.M.); (F.M.); (O.d.D.)
| | - Roberto Altieri
- Multidisciplinary Department of Medical-Surgical and Dental Specialties, University of Campania “Luigi Vanvitelli”, 80131 Naples, Italy;
| | - Giuseppe La Rocca
- Institute of Neurosurgery, A. Gemelli University Polyclinic, IRCCS and Foundation, Sacred Heart Catholic University, 20123 Rome, Italy;
| | - Amedeo Piazza
- Department of Neurosurgery, “Sapienza” University, 00185 Rome, Italy;
| | - Giuseppe Corazzelli
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, Neurosurgical Division, Università di Napoli Federico II, 80131 Naples, Italy; (G.C.); (C.P.); (G.M.); (F.M.); (O.d.D.)
| | - Carmela Palmiero
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, Neurosurgical Division, Università di Napoli Federico II, 80131 Naples, Italy; (G.C.); (C.P.); (G.M.); (F.M.); (O.d.D.)
| | - Giuseppe Mariniello
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, Neurosurgical Division, Università di Napoli Federico II, 80131 Naples, Italy; (G.C.); (C.P.); (G.M.); (F.M.); (O.d.D.)
| | - Francesco Maiuri
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, Neurosurgical Division, Università di Napoli Federico II, 80131 Naples, Italy; (G.C.); (C.P.); (G.M.); (F.M.); (O.d.D.)
| | - Andrea Elefante
- Department of Advanced Biomedical Sciences, School of Medicine, University of Naples “Federico II”, 80131 Naples, Italy;
| | - Oreste de Divitiis
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, Neurosurgical Division, Università di Napoli Federico II, 80131 Naples, Italy; (G.C.); (C.P.); (G.M.); (F.M.); (O.d.D.)
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Pacult MA, Przybylowski CJ, Raza SM, DeMonte F. Surgical Management of High-Grade Meningiomas. Cancers (Basel) 2024; 16:1978. [PMID: 38893100 PMCID: PMC11171173 DOI: 10.3390/cancers16111978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 09/27/2023] [Accepted: 05/21/2024] [Indexed: 06/21/2024] Open
Abstract
Maximal resection with the preservation of neurological function are the mainstays of the surgical management of high-grade meningiomas. Surgical morbidity is strongly associated with tumor size, location, and invasiveness, whereas patient survival is strongly associated with the extent of resection, tumor biology, and patient health. A versatile microsurgical skill set combined with a cogent multimodality treatment plan is critical in order to achieve optimal patient outcomes. Continued refinement in surgical techniques in conjunction with directed radiotherapeutic and medical therapies will define future treatment.
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Affiliation(s)
- Mark A. Pacult
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph’s Hospital and Medical Center, Phoenix, AZ 85013, USA;
| | - Colin J. Przybylowski
- Division of Neurosurgery, Fukushima Brain Tumor Center, Raleigh Neurosurgical Clinic, Raleigh, NC 27609, USA;
| | - Shaan M. Raza
- Department of Neurosurgery, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA;
| | - Franco DeMonte
- Department of Neurosurgery, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA;
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Burhan S, Detrez N, Rewerts K, Strenge P, Buschschlüter S, Kren J, Hagel C, Bonsanto MM, Brinkmann R, Huber R. Phase unwrapping for MHz optical coherence elastography and application to brain tumor tissue. BIOMEDICAL OPTICS EXPRESS 2024; 15:1038-1058. [PMID: 38404346 PMCID: PMC10890849 DOI: 10.1364/boe.510020] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 12/15/2023] [Accepted: 12/17/2023] [Indexed: 02/27/2024]
Abstract
During neuro-oncologic surgery, phase-sensitive optical coherence elastography (OCE) can be valuable for distinguishing between healthy and diseased tissue. However, the phase unwrapping process required to retrieve the original phase signal is a challenging and critical task. To address this issue, we demonstrate a one-dimensional unwrapping algorithm that recovers the phase signal from a 3.2 MHz OCE system. With a processing time of approximately 0.11 s per frame on the GPU, multiple 2π wraps are detected and corrected. By utilizing this approach, exact and reproducible information on tissue deformation can be obtained with pixel accuracy over the entire acquisition time. Measurements of brain tumor-mimicking phantoms and human ex vivo brain tumor samples verified the algorithm's reliability. The tissue samples were subjected to a 200 ms short air pulse. A correlation with histological findings confirmed the algorithm's dependability.
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Affiliation(s)
- Sazgar Burhan
- Institut für Biomedizinische Optik, Universität zu Lübeck, Peter-Monnik-Weg 4, 23562 Lübeck, Germany
| | - Nicolas Detrez
- Medizinisches Laserzentrum Lübeck GmbH, Peter-Monnik-Weg 4, 23562 Lübeck, Germany
| | - Katharina Rewerts
- Institut für Biomedizinische Optik, Universität zu Lübeck, Peter-Monnik-Weg 4, 23562 Lübeck, Germany
| | - Paul Strenge
- Medizinisches Laserzentrum Lübeck GmbH, Peter-Monnik-Weg 4, 23562 Lübeck, Germany
| | | | - Jessica Kren
- Klinik für Neurochirurgie, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany
| | - Christian Hagel
- Institut für Neuropathologie, Universitätsklinikum Hamburg-Eppendorf, Martinistrasse 52, 20251 Hamburg, Germany
| | - Matteo Mario Bonsanto
- Institut für Neuropathologie, Universitätsklinikum Hamburg-Eppendorf, Martinistrasse 52, 20251 Hamburg, Germany
| | - Ralf Brinkmann
- Institut für Biomedizinische Optik, Universität zu Lübeck, Peter-Monnik-Weg 4, 23562 Lübeck, Germany
- Medizinisches Laserzentrum Lübeck GmbH, Peter-Monnik-Weg 4, 23562 Lübeck, Germany
| | - Robert Huber
- Institut für Biomedizinische Optik, Universität zu Lübeck, Peter-Monnik-Weg 4, 23562 Lübeck, Germany
- Medizinisches Laserzentrum Lübeck GmbH, Peter-Monnik-Weg 4, 23562 Lübeck, Germany
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Han T, Long C, Liu X, Zhang Y, Zhang B, Deng L, Jing M, Zhou J. Apparent diffusion coefficient histogram analysis for differentiating fibroblastic meningiomas from non-fibroblastic WHO grade 1 meningiomas. Clin Imaging 2023; 104:110019. [PMID: 37976629 DOI: 10.1016/j.clinimag.2023.110019] [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: 04/08/2023] [Revised: 10/05/2023] [Accepted: 11/02/2023] [Indexed: 11/19/2023]
Abstract
PURPOSE To investigate the role of apparent diffusion coefficient (ADC) histogram analysis in differentiating fibroblastic meningiomas (FM) from non-fibroblastic WHO grade 1 meningiomas (nFM). METHODS This retrospective study analyzed the histopathological and diagnostic imaging data of 220 patients with histopathologically confirmed FM and nFM. The whole tumors were delineated on axial ADC images, and histogram parameters (mean, variance, skewness, kurtosis, as well as the 1st, 10th, 50th, 90th, and 99th percentile ADC [ADCp1, ADCp10, ADCp50, ADCp90, and ADCp99, respectively]) were obtained. Multivariate logistic regression analysis was used to identify the most valuable variables for discriminating FM from nFM WHO grade 1 meningiomas, and their diagnostic efficacy in differentiating FM from nFM before surgery was assessed using receiver operating characteristic (ROC) curves. RESULTS The mean, variance, ADCp50, ADCp90, and ADCp99 of the FM group were all lower than those of the nFM group (P < 0.05), there was significant difference in location and sex (P < 0.05). Multivariate logistic regression showed ADCp99 (P < 0.001) and location (P = 0.007) were the most valuable parameters in the discrimination of FM and nFM WHO grade 1 meningiomas. The diagnostic efficacy was achieved an AUC of 0.817(95% CI, 0.759-0.866), the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were 66.4%, 83.6%, 75.0%, 80.2%, and 71.3%, respectively. CONCLUSION ADC histogram analysis is helpful in noninvasive differentiation of FM and nFM WHO grade 1 meningiomas, and combined ADCp99 and location have the best diagnostic efficacy.
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Affiliation(s)
- Tao Han
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China
| | - Changyou Long
- Image Center of affiliated Hospital of Qinghai University, Xining 810001, China
| | - Xianwang Liu
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China
| | - Yuting Zhang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China
| | - Bin Zhang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China
| | - Liangna Deng
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China
| | - Mengyuan Jing
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China
| | - Junlin Zhou
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China.
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Zaed I, Della Pepa GM, Cannizzaro D, Menna G, Cardia A. Applicability and efficacy of ultrasound elastography in neurosurgery: a systematic review of the literature. J Neurosurg Sci 2023; 67:750-757. [PMID: 36239425 DOI: 10.23736/s0390-5616.22.05866-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
INTRODUCTION Neurosurgery is one of the fields in which intraoperative imaging is paramount. One of these main imaging tools that have been acquiring the interest of the neurosurgical community is Ultrasound elastography (USE), which is an imaging technology sensitive to tissue stiffness. Here we present a systematic review of the use of USE in neurosurgery. EVIDENCE ACQUISITION A systematic review of the literature has been performed, according to the PRISMA guideline, for the last 30 years on 3 different databases (MEDLINE, Scopus, and Cochrane), to gather all the studies on the use of ultrasound elastography for neurosurgical pathologies, including both clinical and laboratory studies. EVIDENCE SYNTHESIS A total of 15 articles met the inclusion criteria. USE has widely and safely been used especially for oncological lesions (meningiomas and gliomas) and focal cortical dysplasia. However, there are also encouraging laboratory studies about its application for the management of traumatic brain injury, and ischemic stroke. CONCLUSIONS This systematic review showed that, despite the lack of strong evidence, USE is a valid intraoperative tool, especially in oncological neurosurgery.
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Affiliation(s)
- Ismail Zaed
- Department of Neurosurgery, ASST Ovest Milanese, Legnano Hospital, Milan, Italy -
| | - Giuseppe M Della Pepa
- Institute of Neurosurgery, IRCCS A. Gemelli University Polyclinic Foundation, Rome, Italy
| | - Delia Cannizzaro
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Department of Neurosurgery, IRCCS Humanitas Clinic, Rozzano, Milan, Italy
| | - Grazia Menna
- Institute of Neurosurgery, IRCCS A. Gemelli University Polyclinic Foundation, Rome, Italy
| | - Andrea Cardia
- Department of Neurosurgery, Neurocenter of Southern Switzerland, EOC, Lugano, Switzerland
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Albakr A, Ben-Israel D, Yang R, Kruger A, Alhothali W, Al Towim A, Lama S, Ajlan A, Riva-Cambrin J, Prada F, Al-Habib A, Sutherland GR. Ultrasound Elastography in Neurosurgery: Current Applications and Future Perspectives. World Neurosurg 2023; 170:195-205.e1. [PMID: 36336268 DOI: 10.1016/j.wneu.2022.10.108] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 10/25/2022] [Accepted: 10/26/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Similar to clinical palpation, Ultrasound elastography (USE) helps distinguish between tissues by providing information on their elasticity. While it has been widely explored and has been applied to many body organs, USE has not been studied as extensively for application in neurosurgery. The current systematic review was performed to identify articles related to the use of interoperative USE in neurosurgery. METHODS Search included MEDLINE(R) database. Only original peer-reviewed full-text articles were included. No language or publication year restrictions were imposed. Two independent reviewers assessed the search results for relevance. The identified articles were screened by title, abstract, and full-text review. RESULTS Seventeen articles were included in the qualitative analysis and 13 articles were related to oncology, epilepsy (n = 3), and spine (n = 1). In oncology, USE was found useful in defining tumor stiffness, aiding surgical planning, detecting residual tumors, discriminating between tumor and brain tissue, and differentiating between different tumors. In epilepsy, USE could improve the detection of epileptogenic foci, thereby enhancing the prospect of complete and safe resection. The application in spinal surgery was limited to demonstrating that a compressed spinal cord is stiffer than the decompressed one. CONCLUSIONS USE was found to be a safe, quick, portable, and economic tool that was a useful intraoperative adjunct to provide information corresponding to a variety of neurosurgical diseases, at different stages of surgery. This review describes the current intraoperative neurosurgical applications of USE, the concept of elasticity, and different USE modalities as well as the technical challenges, limitations, and possible future implications.
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Affiliation(s)
- Abdulrahman Albakr
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada; Division of Neurosurgery, Department of Surgery, King Saud University, Riyadh, Saudi Arabia; Project neuroArm, Department of Clinical Neurosciences, and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - David Ben-Israel
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Runze Yang
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Alexander Kruger
- Project neuroArm, Department of Clinical Neurosciences, and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Wajda Alhothali
- Division of Neurosurgery, Department of Surgery, King Saud University, Riyadh, Saudi Arabia
| | - Abdullah Al Towim
- Division of Neurosurgery, Department of Surgery, King Saud University, Riyadh, Saudi Arabia
| | - Sanju Lama
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada; Project neuroArm, Department of Clinical Neurosciences, and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Abdulrazag Ajlan
- Division of Neurosurgery, Department of Surgery, King Saud University, Riyadh, Saudi Arabia
| | - Jay Riva-Cambrin
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Francesco Prada
- Department of Neurological Surgery, University of Virginia Health System, Charlottesville, Virginia, USA; Acoustic Neuroimaging and Therapy Laboratory, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; Focused Ultrasound Foundation, Charlottesville, Virginia, USA
| | - Amro Al-Habib
- Division of Neurosurgery, Department of Surgery, King Saud University, Riyadh, Saudi Arabia
| | - Garnette R Sutherland
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada; Project neuroArm, Department of Clinical Neurosciences, and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.
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Laparoscopic Adenomyomectomy under Real-Time Intraoperative Ultrasound Elastography Guidance: A Case Series and Feasibility Study. J Clin Med 2022; 11:jcm11226707. [PMID: 36431184 PMCID: PMC9693154 DOI: 10.3390/jcm11226707] [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: 10/03/2022] [Revised: 10/30/2022] [Accepted: 11/10/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND This study aimed to examine the clinical characteristics of 11 patients undergoing laparoscopic adenomyomectomy guided by intraoperative ultrasound elastography and this technique's feasibility. PATIENTS AND METHODS Eleven patients undergoing laparoscopic adenomyomectomy using ultrasound elastography for adenomyosis at Kawasaki Medical School Hospital in Okayama, Japan between March 2020 and February 2021 were enrolled. Operative outcomes included operative time, operative bleeding, resected weight, operation complications, percent change in hemoglobin (Hb) values, and uterine volume pre- and postoperatively. Dysmenorrhea improvement was evaluated by changes in visual analog scale (VAS) scores pre- and 6- and 12-months postoperatively. RESULTS The median operative time and bleeding volume was 125 min (range, 88-188 min) and 150 mL (10-450 mL), respectively. The median resected weight was 5.0 g (1.5-180 g). No intraoperative or postoperative blood transfusions or perioperative complications were observed. The median changes in uterine volume, Hb value, and VAS score were -49% (-65 to -28%), -3% (-11 to 35%), and -80% (-100 to -50%), respectively. The median follow-up period post-surgery was 14 months (7-30 months). Adenomyosis recurrence was not observed in the patients during the follow-up period. CONCLUSIONS Laparoscopic adenomyomectomy using ultrasound elastography guidance is minimally invasive and resects as many adenomyotic lesions as possible.
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Hersh AM, Weber-Levine C, Jiang K, Young L, Kerensky M, Routkevitch D, Tsehay Y, Perdomo-Pantoja A, Judy BF, Lubelski D, Theodore N, Manbachi A. Applications of elastography in operative neurosurgery: A systematic review. J Clin Neurosci 2022; 104:18-28. [PMID: 35933785 PMCID: PMC11023619 DOI: 10.1016/j.jocn.2022.07.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 07/19/2022] [Accepted: 07/20/2022] [Indexed: 11/30/2022]
Abstract
Elastography is an imaging technology capable of measuring tissue stiffness and consistency. The technology has achieved widespread use in the workup and management of diseases of the liver, breast, thyroid, and prostate. Although elastography is increasingly being applied in neurosurgery, it has not yet achieved widespread adoption and many clinicians remain unfamiliar with the technology. Therefore, we sought to summarize the range of applications and elastography modalities available for neurosurgery, report its effectiveness in comparison with conventional imaging methods, and offer recommendations. All full-text English-language manuscripts on the use of elastography for neurosurgical procedures were screened using the PubMed/MEDLINE, Embase, Cochrane Library, Scopus, and Web of Science databases. Thirty-two studies were included with 990 patients, including 21 studies on intracranial tumors, 5 on hydrocephalus, 4 on epilepsy, 1 on spinal cord compression, and 1 on adolescent scoliosis. Twenty studies used ultrasound elastography (USE) whereas 12 used magnetic resonance elastography (MRE). MRE studies were mostly used in the preoperative setting for assessment of lesion stiffness, tumor-brain adherence, diagnostic workup, and operative planning. USE studies were performed intraoperatively to guide resection of lesions, determine residual microscopic abnormalities, assess the tumor-brain interface, and study mechanical properties of tumors. Elastography can assist with resection of brain tissue, detection of microscopic lesions, and workup of hydrocephalus, among other applications under investigation. Its sensitivity often exceeds that of conventional MRI and ultrasound for identifying abnormal tissue and lesion margins.
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Affiliation(s)
- Andrew M Hersh
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Carly Weber-Levine
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Kelly Jiang
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Lisa Young
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Max Kerensky
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Denis Routkevitch
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Yohannes Tsehay
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States
| | | | - Brendan F Judy
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Daniel Lubelski
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Nicholas Theodore
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
| | - Amir Manbachi
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
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Pan HY, Zhang Q, Wu WJ, Li X. Preoperative neoadjuvant chemotherapy in patients with breast cancer evaluated using strain ultrasonic elastography. World J Clin Cases 2022; 10:7293-7301. [PMID: 36158032 PMCID: PMC9353890 DOI: 10.12998/wjcc.v10.i21.7293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 04/25/2022] [Accepted: 06/24/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The incidence of breast cancer in China is increasing while its mortality rate is decreasing. The annual breast cancer incidence in China is 39.2 million, accounting for two-thirds of the urban population. In China, breast cancer is the fifth most common malignant tumor overall and the most common in women, accounting for 17% of female malignant tumors.
AIM To investigate the accuracy of strain ultrasound elastography (SUE) on the evaluation of preoperative neoadjuvant chemotherapy (NAC) in breast cancer.
METHODS Overall, 90 patients with breast cancer treated at our hospital between January 2018 and February 2019 were selected for this study. The patients received six cycles of NAC with docetaxel, epirubicin, and cyclophosphamide. Surgical treatment was also performed, and pathological reactivity was assessed. The patients were evaluated using conventional ultrasonography and SUE before biopsy. The differences between groups were analyzed to calculate the mean and standard deviation with significance measured using a t-test, while multivariate analysis was performed using logistic regression analysis.
RESULTS Of the patients analyzed, 20 had a pathological complete remission (pCR) while 70 did not achieve pCR after NAC. The ratio of the elastic strain ratio (SR) and elastic score of 4–5 in patients with pCR were 5.5 ± 1.16 and 15.00%, respectively; these were significantly lower than those in patients without pCR (85%) and significantly higher than in patients without pCR (14%). SR and elastic score 4–5 were independent factors influencing NAC efficacy (OR=0.644, 1.426 and 1.366, respectively, P < 0.05). SR was positively correlated with elasticity score (rs = 0.411, P < 0.05). The area under the receiver operator characteristic curve of SR and SR combined with elastic score in predicting patients without pCR was 0.822 and 0.891, respectively (P < 0.05).
CONCLUSION Strain ultrasonic elastography may be used to evaluate the effects of preoperative NAC in patients with breast cancer.
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Affiliation(s)
- Hong-Yu Pan
- Department of Ultrasound, Wuhan Fourth Hospital; Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, Hubei Province, China
| | - Qian Zhang
- Department of Ultrasound, Wuhan Fourth Hospital; Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, Hubei Province, China
| | - Wen-Jing Wu
- Department of Ultrasound, Wuhan Fourth Hospital; Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, Hubei Province, China
| | - Xia Li
- Department of Ultrasound, Wuhan Fourth Hospital; Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, Hubei Province, China
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11
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Prada F, Ciocca R, Corradino N, Gionso M, Raspagliesi L, Vetrano IG, Doniselli F, Del Bene M, DiMeco F. Multiparametric Intraoperative Ultrasound in Oncological Neurosurgery: A Pictorial Essay. Front Neurosci 2022; 16:881661. [PMID: 35516800 PMCID: PMC9063404 DOI: 10.3389/fnins.2022.881661] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 03/16/2022] [Indexed: 12/20/2022] Open
Abstract
Intraoperative ultrasound (ioUS) is increasingly used in current neurosurgical practice. This is mainly explained by its affordability, handiness, multimodal real-time nature, and overall by its image spatial and temporal resolution. Identification of lesion and potential residue, analysis of the vascularization pattern, and characterization of the nature of the mass are only some of the advantages that ioUS offers to guide safe and efficient tumor resection. Technological advances in ioUS allow to achieve both structural and functional imaging. B-mode provides high-resolution visualization of the lesion and of its boundaries and relationships. Pioneering modes, such as contrast-enhanced ultrasound (CEUS), ultrasensitive Doppler, and elastosonography, are tools with great potential in characterizing different functional aspects of the lesion in a qualitative and quantitative manner. As already happening for many organs and pathologies, the combined use of different US modalities offers new insights in a multiparametric fashion. In this study, we present the potential of our multiparametric approach for ioUS during neuro-oncological surgery. In this effort, we provide a pictorial essay focusing on the most frequent pathologies: low- and high-grade gliomas, meningiomas, and brain metastases.
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Affiliation(s)
- Francesco Prada
- Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
- Department of Neurological Surgery, University of Virginia, Charlottesville, VA, United States
- Focused Ultrasound Foundation, Charlottesville, VA, United States
- Acoustic Neuroimaging and Therapy Laboratory, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
- *Correspondence: Francesco Prada,
| | - Riccardo Ciocca
- Acoustic Neuroimaging and Therapy Laboratory, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
- Faculty of Medicine and Surgery, Università degli Studi di Milano, Milan, Italy
| | - Nicoletta Corradino
- Acoustic Neuroimaging and Therapy Laboratory, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
- Faculty of Medicine and Surgery, Università degli Studi di Milano, Milan, Italy
| | - Matteo Gionso
- Acoustic Neuroimaging and Therapy Laboratory, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
- Faculty of Medicine and Surgery, Humanitas University, Pieve Emanuele, Italy
| | - Luca Raspagliesi
- Acoustic Neuroimaging and Therapy Laboratory, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
- Department of Neurosurgery, Humanitas Clinical and Research Center, Milan, Italy
| | | | - Fabio Doniselli
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy
| | - Massimiliano Del Bene
- Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
- Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Francesco DiMeco
- Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- Johns Hopkins Medical School, Baltimore, MD, United States
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12
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Cepeda S, García-García S, Arrese I, Velasco-Casares M, Sarabia R. Advantages and Limitations of Intraoperative Ultrasound Strain Elastography Applied in Brain Tumor Surgery: A Single-Center Experience. Oper Neurosurg (Hagerstown) 2022; 22:305-314. [DOI: 10.1227/ons.0000000000000122] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 11/12/2021] [Indexed: 12/31/2022] Open
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13
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Ashikuzzaman M, Rivaz H. Second-Order Ultrasound Elastography With L1-Norm Spatial Regularization. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2022; 69:1008-1019. [PMID: 34995188 DOI: 10.1109/tuffc.2022.3141686] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Time delay estimation (TDE) between two radio-frequency (RF) frames is one of the major steps of quasi-static ultrasound elastography, which detects tissue pathology by estimating its mechanical properties. Regularized optimization-based techniques, a prominent class of TDE algorithms, optimize a nonlinear energy functional consisting of data constancy and spatial continuity constraints to obtain the displacement and strain maps between the time-series frames under consideration. The existing optimization-based TDE methods often consider the L2 -norm of displacement derivatives to construct the regularizer. However, such a formulation over-penalizes the displacement irregularity and poses two major issues to the estimated strain field. First, the boundaries between different tissues are blurred. Second, the visual contrast between the target and the background is suboptimal. To resolve these issues, herein, we propose a novel TDE algorithm where instead of L2 -, L1 -norms of both first- and second-order displacement derivatives are taken into account to devise the continuity functional. We handle the non-differentiability of L1 -norm by smoothing the absolute value function's sharp corner and optimize the resulting cost function in an iterative manner. We call our technique Second-Order Ultrasound eLastography (SOUL) with the L1 -norm spatial regularization ( L1 -SOUL). In terms of both sharpness and visual contrast, L1 -SOUL substantially outperforms GLobal Ultrasound Elastography (GLUE), tOtal Variation rEgulaRization and WINDow-based time delay estimation (OVERWIND), and SOUL, three recently published TDE algorithms in all validation experiments performed in this study. In cases of simulated, phantom, and in vivo datasets, respectively, L1 -SOUL achieves 67.8%, 46.81%, and 117.35% improvements of contrast-to-noise ratio (CNR) over SOUL. The L1 -SOUL code can be downloaded from http://code.sonography.ai.
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14
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Galldiks N, Angenstein F, Werner JM, Bauer EK, Gutsche R, Fink GR, Langen KJ, Lohmann P. Use of advanced neuroimaging and artificial intelligence in meningiomas. Brain Pathol 2022; 32:e13015. [PMID: 35213083 PMCID: PMC8877736 DOI: 10.1111/bpa.13015] [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] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 06/09/2021] [Accepted: 08/02/2021] [Indexed: 01/04/2023] Open
Abstract
Anatomical cross‐sectional imaging methods such as contrast‐enhanced MRI and CT are the standard for the delineation, treatment planning, and follow‐up of patients with meningioma. Besides, advanced neuroimaging is increasingly used to non‐invasively provide detailed insights into the molecular and metabolic features of meningiomas. These techniques are usually based on MRI, e.g., perfusion‐weighted imaging, diffusion‐weighted imaging, MR spectroscopy, and positron emission tomography. Furthermore, artificial intelligence methods such as radiomics offer the potential to extract quantitative imaging features from routinely acquired anatomical MRI and CT scans and advanced imaging techniques. This allows the linking of imaging phenotypes to meningioma characteristics, e.g., the molecular‐genetic profile. Here, we review several diagnostic applications and future directions of these advanced neuroimaging techniques, including radiomics in preclinical models and patients with meningioma.
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Affiliation(s)
- Norbert Galldiks
- Department of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany.,Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany.,Center for Integrated Oncology (CIO), Universities of Aachen, Cologne, Germany
| | - Frank Angenstein
- Functional Neuroimaging Group, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Magdeburg, Germany.,Leibniz Institute for Neurobiology (LIN), Magdeburg, Germany.,Medical Faculty, Otto von Guericke University, Magdeburg, Germany
| | - Jan-Michael Werner
- Department of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Elena K Bauer
- Department of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Robin Gutsche
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany
| | - Gereon R Fink
- Department of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany.,Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany.,Center for Integrated Oncology (CIO), Universities of Aachen, Cologne, Germany.,Department of Nuclear Medicine, University Hospital Aachen, Aachen, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany.,Department of Stereotaxy and Functional Neurosurgery, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany
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15
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Del Bene M, DiMeco F, Unsgård G. Editorial: Intraoperative Ultrasound in Brain Tumor Surgery: State-Of-The-Art and Future Perspectives. Front Oncol 2021; 11:780517. [PMID: 34796119 PMCID: PMC8593403 DOI: 10.3389/fonc.2021.780517] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 10/13/2021] [Indexed: 01/18/2023] Open
Affiliation(s)
- Massimiliano Del Bene
- Department of Neurosurgery, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Neurologico Carlo Besta, Milan, Italy.,Department of Experimental Oncology, European Institute of Oncology (IEO), Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
| | - Francesco DiMeco
- Department of Neurosurgery, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Neurologico Carlo Besta, Milan, Italy.,Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.,Department of Neurological Surgery, Johns Hopkins Medical School, Baltimore, MD, United States
| | - Geirmund Unsgård
- Norwegian University of Science and Technology, Trondheim, Norway
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16
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Cepeda S, Sarabia R. Letter to the Editor. Intraoperative ultrasound elastography applied in meningioma surgery. Neurosurg Focus 2021; 50:E23. [PMID: 33932930 DOI: 10.3171/2021.1.focus2115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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17
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Pons-Escoda A. Editorial comment on "A new method for quantification and 3D visualization of brain tumor adhesion using slip interface imaging in patients with meningiomas". Eur Radiol 2021; 31:5552-5553. [PMID: 34041568 DOI: 10.1007/s00330-021-08055-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 05/06/2021] [Indexed: 10/21/2022]
Affiliation(s)
- Albert Pons-Escoda
- Radiology Department, Neurooncology Unit, Hospital Universitari de Bellvitge, Insitut de Diagnostic per la Imatge, C/ Feixa Llarga SN L'Hospitalet de Llobregat, 08907, Barcelona, Spain.
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18
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Schupper AJ, Yong RL, Hadjipanayis CG. The Neurosurgeon's Armamentarium for Gliomas: An Update on Intraoperative Technologies to Improve Extent of Resection. J Clin Med 2021; 10:jcm10020236. [PMID: 33440712 PMCID: PMC7826675 DOI: 10.3390/jcm10020236] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 01/06/2021] [Accepted: 01/08/2021] [Indexed: 12/18/2022] Open
Abstract
Maximal safe resection is the standard of care in the neurosurgical treatment of high-grade gliomas. To aid surgeons in the operating room, adjuvant techniques and technologies centered around improving intraoperative visualization of tumor tissue have been developed. In this review, we will discuss the most advanced technologies, specifically fluorescence-guided surgery, intraoperative imaging, neuromonitoring modalities, and microscopic imaging techniques. The goal of these technologies is to improve detection of tumor tissue beyond what conventional microsurgery has permitted. We describe the various advances, the current state of the literature that have tested the utility of the different adjuvants in clinical practice, and future directions for improving intraoperative technologies.
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