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Martín-Abreu C, Fariña-Jerónimo H, Plata-Bello J. Radiological and Not Clinical Variables Guide the Surgical Plan in Patients with Glioblastoma. Curr Oncol 2024; 31:1899-1912. [PMID: 38668045 PMCID: PMC11049408 DOI: 10.3390/curroncol31040142] [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: 02/13/2024] [Revised: 03/28/2024] [Accepted: 03/30/2024] [Indexed: 04/28/2024] Open
Abstract
Background and Purpose: The extent of resection is the most important prognostic factor in patients with glioblastoma. However, the factors influencing the decision to perform a biopsy instead of maximal resection have not been clearly established. The aim of this study was to analyze the factors associated with the intention to achieve maximal resection in glioblastoma patients. Methods: A retrospective single-center case-series analysis of patients with a new diagnosis of glioblastoma was performed. Patients were distributed into two groups: the biopsy (B) and complete resection (CR) groups. To identify factors associated with the decision to perform a B or CR, uni- and multivariate binary logistic regression analyses were performed. Cox regression analysis was also performed in the B and CR groups. Results: Ninety-nine patients with a new diagnosis of glioblastoma were included. Sixty-eight patients (68.7%) were treated with CR. Ring-enhancement and edema volume on presurgical magnetic resonance imaging were both associated with CR. Corpus callosum involvement and proximity to the internal capsule were identified as factors associated with the decision to perform a biopsy. In the multivariate analysis, edema volume (OR = 1.031; p = 0.002) and proximity to the internal capsule (OR = 0.104; p = 0.001) maintained significance and were considered independent factors. In the survival analysis, only corpus callosum involvement (HR = 2.055; p = 0.035) and MGMT status (HR = 0.484; p = 0.027) presented statistical significance in the CR group. Conclusions: The volume of edema and proximity to the internal capsule were identified as independent factors associated with the surgical decision. The radiological evaluation and not the clinical situation of the patient influences the decision to perform a biopsy or CR.
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Affiliation(s)
- Carla Martín-Abreu
- Department of Medical Oncology, Hospital Universitario de Canarias, 38320 La Laguna, Spain
| | - Helga Fariña-Jerónimo
- Department of Neurosurgery, Hospital Universitario de Canarias, 38320 La Laguna, Spain
| | - Julio Plata-Bello
- Department of Neurosurgery, Hospital Universitario de Canarias, 38320 La Laguna, Spain
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2
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Li Z, Song Y, Farrukh Hameed NU, Yuan S, Wu S, Gong X, Zhuang D, Lu J, Zhu F, Qiu T, Zhang J, Aibaidula A, Geng X, Yang Z, Tang W, Chen H, Zhou L, Mao Y, Wu J. Effect of high-field iMRI guided resection in cerebral glioma surgery: A randomized clinical trial. Eur J Cancer 2024; 199:113528. [PMID: 38218157 DOI: 10.1016/j.ejca.2024.113528] [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: 10/11/2023] [Revised: 12/18/2023] [Accepted: 12/26/2023] [Indexed: 01/15/2024]
Abstract
BACKGROUND Extent of resection (EOR) in glioma contributes to longer survival. The purpose of NCT01479686 was to prove whether intraoperative magnetic resonance imaging (iMRI) increases EOR in glioma surgery and benefit survival. METHODS Patients were randomized (1:1) to receive the iMRI (n = 161) or the conventional neuronavigation (n = 160). The primary endpoint was gross total resection (GTR); secondary outcomes reported were progression-free survival (PFS), overall survival (OS), and safety. RESULTS 188 high-grade gliomas (HGGs) and 133 low-grade gliomas (LGGs) were enrolled. GTR was 83.85% in the iMRI group vs. 50.00% in the control group (P < 0.0001). In 321 patients, the median PFS (mPFS) was 65.12 months in the iMRI group and 61.01 months in the control group (P = 0.0202). For HGGs, mPFS was improved in the iMRI group (19.32 vs. 13.34 months, P = 0.0015), and a trend of superior OS compared with control was observed (29.73 vs. 25.33 months, P = 0.1233). In the predefined eloquent area HGG subgroup, mPFS, and mOS were 20.47 months and 33.58 months in the iMRI vs. 12.21 months and 21.16 months in the control group (P = 0.0098; P = 0.0375, respectively). From the exploratory analyses of HGGs, residual tumor volume (TV) < 1.0 cm3 decreased the risk of survival (mPFS: 18.99 vs. 9.43 months, P = 0.0055; mOS: 29.77 vs. 18.10 months, P = 0.0042). LGGs with preoperative (pre-OP) TV > 43.1 cm3 and postoperative (post-OP) TV > 4.6 cm3 showed worse OS (P= 0.0117) CONCLUSIONS: It showed that iMRI significantly increased EOR and indicated survival benefits for HGGs, particularly eloquent HGGs. Residual TV in either HGGs or LGGs is a prognostic factor for survival.
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Affiliation(s)
- Zeyang Li
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; Neurosurgical Institute of Fudan University, China
| | - Yanyan Song
- Department of Biostatistics, Clinical research institute, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - N U Farrukh Hameed
- University of Pittsburgh Medical Center and Hillman Cancer Center, Department of Neurosurgery, Pittsburgh, USA
| | - Shiwen Yuan
- Department of Psychiatry and Human Behavior, Brown University, Rhode Island Hospital, 146 West River Street, Providence, RI 02904, USA
| | - Shuai Wu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; Neurosurgical Institute of Fudan University, China
| | - Xiu Gong
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China
| | - Dongxiao Zhuang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; National Neurological Diseases Center, China
| | - Junfeng Lu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; Neurosurgical Institute of Fudan University, China; National Neurological Diseases Center, China
| | - Fengping Zhu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; Neurosurgical Institute of Fudan University, China; National Neurological Diseases Center, China
| | - Tianming Qiu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; Neurosurgical Institute of Fudan University, China; National Neurological Diseases Center, China
| | - Jie Zhang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; Neurosurgical Institute of Fudan University, China; National Neurological Diseases Center, China
| | - Abudumijiti Aibaidula
- Department of Neurosurgery, University of Missouri in Columbia, One Hospital Drive, MO, 65212, Columbia
| | - Xu Geng
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China
| | - Zhong Yang
- Department of Radiotherapy, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China
| | - Weijun Tang
- Department of Radiotherapy, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China
| | - Hong Chen
- Department of Pathology, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China
| | - Liangfu Zhou
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; Neurosurgical Institute of Fudan University, China; National Neurological Diseases Center, China
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; Neurosurgical Institute of Fudan University, China; National Neurological Diseases Center, China; Institute of Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Jinsong Wu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; Neurosurgical Institute of Fudan University, China; National Neurological Diseases Center, China; Institute of Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China.
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3
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Hardigan AA, Jackson JD, Patel AP. Surgical Management and Advances in the Treatment of Glioma. Semin Neurol 2023; 43:810-824. [PMID: 37963582 PMCID: PMC11229982 DOI: 10.1055/s-0043-1776766] [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] [Indexed: 11/16/2023]
Abstract
The care of patients with both high-grade glioma and low-grade glioma necessitates an interdisciplinary collaboration between neurosurgeons, neuro-oncologists, neurologists and other practitioners. In this review, we aim to detail the considerations, approaches and advances in the neurosurgical care of gliomas. We describe the impact of extent-of-resection in high-grade and low-grade glioma, with particular focus on primary and recurrent glioblastoma. We address advances in surgical methods and adjunct technologies such as intraoperative imaging and fluorescence guided surgery that maximize extent-of-resection while minimizing the potential for iatrogenic neurological deficits. Finally, we review surgically-mediated therapies other than resection and discuss the role of neurosurgery in emerging paradigm-shifts in inter-disciplinary glioma management such as serial tissue sampling and "window of opportunity trials".
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Affiliation(s)
- Andrew A Hardigan
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - Joshua D Jackson
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - Anoop P Patel
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
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4
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Bin-Alamer O, Abou-Al-Shaar H, Gersey ZC, Huq S, Kallos JA, McCarthy DJ, Head JR, Andrews E, Zhang X, Hadjipanayis CG. Intraoperative Imaging and Optical Visualization Techniques for Brain Tumor Resection: A Narrative Review. Cancers (Basel) 2023; 15:4890. [PMID: 37835584 PMCID: PMC10571802 DOI: 10.3390/cancers15194890] [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: 08/29/2023] [Revised: 09/26/2023] [Accepted: 10/04/2023] [Indexed: 10/15/2023] Open
Abstract
Advancements in intraoperative visualization and imaging techniques are increasingly central to the success and safety of brain tumor surgery, leading to transformative improvements in patient outcomes. This comprehensive review intricately describes the evolution of conventional and emerging technologies for intraoperative imaging, encompassing the surgical microscope, exoscope, Raman spectroscopy, confocal microscopy, fluorescence-guided surgery, intraoperative ultrasound, magnetic resonance imaging, and computed tomography. We detail how each of these imaging modalities contributes uniquely to the precision, safety, and efficacy of neurosurgical procedures. Despite their substantial benefits, these technologies share common challenges, including difficulties in image interpretation and steep learning curves. Looking forward, innovations in this field are poised to incorporate artificial intelligence, integrated multimodal imaging approaches, and augmented and virtual reality technologies. This rapidly evolving landscape represents fertile ground for future research and technological development, aiming to further elevate surgical precision, safety, and, most critically, patient outcomes in the management of brain tumors.
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Affiliation(s)
- Othman Bin-Alamer
- Center for Image-Guided Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA; (O.B.-A.); (H.A.-A.-S.); (Z.C.G.); (S.H.); (J.A.K.); (D.J.M.); (J.R.H.); (E.A.); (X.Z.)
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - Hussam Abou-Al-Shaar
- Center for Image-Guided Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA; (O.B.-A.); (H.A.-A.-S.); (Z.C.G.); (S.H.); (J.A.K.); (D.J.M.); (J.R.H.); (E.A.); (X.Z.)
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - Zachary C. Gersey
- Center for Image-Guided Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA; (O.B.-A.); (H.A.-A.-S.); (Z.C.G.); (S.H.); (J.A.K.); (D.J.M.); (J.R.H.); (E.A.); (X.Z.)
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - Sakibul Huq
- Center for Image-Guided Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA; (O.B.-A.); (H.A.-A.-S.); (Z.C.G.); (S.H.); (J.A.K.); (D.J.M.); (J.R.H.); (E.A.); (X.Z.)
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - Justiss A. Kallos
- Center for Image-Guided Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA; (O.B.-A.); (H.A.-A.-S.); (Z.C.G.); (S.H.); (J.A.K.); (D.J.M.); (J.R.H.); (E.A.); (X.Z.)
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - David J. McCarthy
- Center for Image-Guided Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA; (O.B.-A.); (H.A.-A.-S.); (Z.C.G.); (S.H.); (J.A.K.); (D.J.M.); (J.R.H.); (E.A.); (X.Z.)
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - Jeffery R. Head
- Center for Image-Guided Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA; (O.B.-A.); (H.A.-A.-S.); (Z.C.G.); (S.H.); (J.A.K.); (D.J.M.); (J.R.H.); (E.A.); (X.Z.)
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - Edward Andrews
- Center for Image-Guided Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA; (O.B.-A.); (H.A.-A.-S.); (Z.C.G.); (S.H.); (J.A.K.); (D.J.M.); (J.R.H.); (E.A.); (X.Z.)
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - Xiaoran Zhang
- Center for Image-Guided Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA; (O.B.-A.); (H.A.-A.-S.); (Z.C.G.); (S.H.); (J.A.K.); (D.J.M.); (J.R.H.); (E.A.); (X.Z.)
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - Constantinos G. Hadjipanayis
- Center for Image-Guided Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA; (O.B.-A.); (H.A.-A.-S.); (Z.C.G.); (S.H.); (J.A.K.); (D.J.M.); (J.R.H.); (E.A.); (X.Z.)
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
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5
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Liaropoulos I, Liaropoulos A, Liaropoulos K. Critical Assessment of Cancer Characterization and Margin Evaluation Techniques in Brain Malignancies: From Fast Biopsy to Intraoperative Flow Cytometry. Cancers (Basel) 2023; 15:4843. [PMID: 37835537 PMCID: PMC10571534 DOI: 10.3390/cancers15194843] [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: 09/08/2023] [Revised: 09/29/2023] [Accepted: 10/01/2023] [Indexed: 10/15/2023] Open
Abstract
Brain malignancies, given their intricate nature and location, present significant challenges in both diagnosis and treatment. This review critically assesses a range of diagnostic and surgical techniques that have emerged as transformative tools in brain malignancy management. Fast biopsy techniques, prioritizing rapid and minimally invasive tissue sampling, have revolutionized initial diagnostic stages. Intraoperative flow cytometry (iFC) offers real-time cellular analysis during surgeries, ensuring optimal tumor resection. The advent of intraoperative MRI (iMRI) has seamlessly integrated imaging into surgical procedures, providing dynamic feedback and preserving critical brain structures. Additionally, 5-aminolevulinic acid (5-ALA) has enhanced surgical precision by inducing fluorescence in tumor cells, aiding in their complete resection. Several other techniques have been developed in recent years, including intraoperative mass spectrometry methodologies. While each technique boasts unique strengths, they also present potential limitations. As technology and research continue to evolve, these methods are set to undergo further refinement. Collaborative global efforts will be pivotal in driving these advancements, promising a future of improved patient outcomes in brain malignancy management.
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Zhang W, Ille S, Schwendner M, Wiestler B, Meyer B, Krieg SM. The Impact of ioMRI on Glioblastoma Resection and Clinical Outcomes in a State-of-the-Art Neuro-Oncological Setup. Cancers (Basel) 2023; 15:3563. [PMID: 37509226 PMCID: PMC10377519 DOI: 10.3390/cancers15143563] [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: 05/16/2023] [Revised: 06/30/2023] [Accepted: 07/08/2023] [Indexed: 07/30/2023] Open
Abstract
Intraoperative magnetic resonance imaging (ioMRI) aims to improve gross total resection (GTR) in glioblastoma (GBM) patients. Despite some older randomized data on safety and feasibility, ioMRI's actual impact in a modern neurosurgical setting utilizing a larger armamentarium of techniques has not been sufficiently investigated to date. We therefore aimed to analyze its effects on residual tumor, patient outcome, and progression-free survival (PFS) in GBM patients in a modern high-volume center. Patients undergoing ioMRI for resection of supratentorial GBM were enrolled between March 2018 and June 2020. ioMRI was performed in all cases at the end of resection when surgeons expected complete macroscopic tumor removal. Extent of resection (EOR) was performed by volumetric analysis, with GTR defined as an EOR ≥ 95%, respectively. Progression-free survival (PFS) was analyzed through univariate and multivariate Cox proportional regression analyses. In total, we enrolled 172 patients. Mean EOR increased from 93.9% to 98.3% (p < 0.0001) due to ioMRI, equaling an increase in GTR rates from 78.5% to 93.0% (p = 0.0002). Residual tumor volume decreased from 1.3 ± 4.2 cm3 to 0.6 ± 2.5 cm3 (p = 0.0037). Logistic regression revealed recurrent GBM as a risk factor leading to subtotal resection (STR) (odds ratio (OR) = 3.047, 95% confidence interval (CI) 1.165-7.974, p = 0.023). Additional resection after ioMRI led to equally long PFS compared to patients with complete tumor removal before ioMRI (hazard ratio (HR) = 0.898, 95%-CI 0.543-1.483, p = 0.67). ioMRI considerably reduces residual tumor volume and helps to achieve comparable PFS, even in patients with unexpected residual tumor after initial resection before ioMRI.
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Affiliation(s)
- Wei Zhang
- Department of Neurosurgery, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Sebastian Ille
- Department of Neurosurgery, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Maximilian Schwendner
- Department of Neurosurgery, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Benedikt Wiestler
- Department of Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Bernhard Meyer
- Department of Neurosurgery, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Sandro M Krieg
- Department of Neurosurgery, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
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Ius T, Sabatino G, Panciani PP, Fontanella MM, Rudà R, Castellano A, Barbagallo GMV, Belotti F, Boccaletti R, Catapano G, Costantino G, Della Puppa A, Di Meco F, Gagliardi F, Garbossa D, Germanò AF, Iacoangeli M, Mortini P, Olivi A, Pessina F, Pignotti F, Pinna G, Raco A, Sala F, Signorelli F, Sarubbo S, Skrap M, Spena G, Somma T, Sturiale C, Angileri FF, Esposito V. Surgical management of Glioma Grade 4: technical update from the neuro-oncology section of the Italian Society of Neurosurgery (SINch®): a systematic review. J Neurooncol 2023; 162:267-293. [PMID: 36961622 PMCID: PMC10167129 DOI: 10.1007/s11060-023-04274-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 02/20/2023] [Indexed: 03/25/2023]
Abstract
PURPOSE The extent of resection (EOR) is an independent prognostic factor for overall survival (OS) in adult patients with Glioma Grade 4 (GG4). The aim of the neuro-oncology section of the Italian Society of Neurosurgery (SINch®) was to provide a general overview of the current trends and technical tools to reach this goal. METHODS A systematic review was performed. The results were divided and ordered, by an expert team of surgeons, to assess the Class of Evidence (CE) and Strength of Recommendation (SR) of perioperative drugs management, imaging, surgery, intraoperative imaging, estimation of EOR, surgery at tumor progression and surgery in elderly patients. RESULTS A total of 352 studies were identified, including 299 retrospective studies and 53 reviews/meta-analysis. The use of Dexamethasone and the avoidance of prophylaxis with anti-seizure medications reached a CE I and SR A. A preoperative imaging standard protocol was defined with CE II and SR B and usefulness of an early postoperative MRI, with CE II and SR B. The EOR was defined the strongest independent risk factor for both OS and tumor recurrence with CE II and SR B. For intraoperative imaging only the use of 5-ALA reached a CE II and SR B. The estimation of EOR was established to be fundamental in planning postoperative adjuvant treatments with CE II and SR B and the stereotactic image-guided brain biopsy to be the procedure of choice when an extensive surgical resection is not feasible (CE II and SR B). CONCLUSIONS A growing number of evidences evidence support the role of maximal safe resection as primary OS predictor in GG4 patients. The ongoing development of intraoperative techniques for a precise real-time identification of peritumoral functional pathways enables surgeons to maximize EOR minimizing the post-operative morbidity.
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Affiliation(s)
- Tamara Ius
- Division of Neurosurgery, Head-Neck and NeuroScience Department, University Hospital of Udine, Udine, Italy
| | - Giovanni Sabatino
- Institute of Neurosurgery, Fondazione Policlinico Gemelli, Catholic University, Rome, Italy
- Unit of Neurosurgery, Mater Olbia Hospital, Olbia, Italy
| | - Pier Paolo Panciani
- Division of Neurosurgery, Department of Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
| | - Marco Maria Fontanella
- Department of Neuro-Oncology, University of Turin and City of Health and Science Hospital, 10094, Torino, Italy
| | - Roberta Rudà
- Department of Neuro-Oncology, University of Turin and City of Health and Science Hospital, 10094, Torino, Italy
- Neurology Unit, Hospital of Castelfranco Veneto, 31033, Castelfranco Veneto, Italy
| | - Antonella Castellano
- Department of Neuroradiology, San Raffaele Scientific Institute, Vita-Salute University, Milan, Italy
| | - Giuseppe Maria Vincenzo Barbagallo
- Department of Medical and Surgical Sciences and Advanced Technologies (G.F. Ingrassia), Neurological Surgery, Policlinico "G. Rodolico - San Marco" University Hospital, University of Catania, Catania, Italy
- Interdisciplinary Research Center On Brain Tumors Diagnosis and Treatment, University of Catania, Catania, Italy
| | - Francesco Belotti
- Division of Neurosurgery, Department of Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | | | - Giuseppe Catapano
- Division of Neurosurgery, Department of Neurological Sciences, Ospedale del Mare, Naples, Italy
| | | | - Alessandro Della Puppa
- Neurosurgical Clinical Department of Neuroscience, Psychology, Pharmacology and Child Health, Careggi Hospital, University of Florence, Florence, Italy
| | - Francesco Di Meco
- 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, USA
| | - Filippo Gagliardi
- Department of Neurosurgery and Gamma Knife Radiosurgery, San Raffaele Scientific Institute, Vita-Salute University, Milan, Italy
| | - Diego Garbossa
- Department of Neuroscience "Rita Levi Montalcini," Neurosurgery Unit, University of Turin, Torino, Italy
| | | | - Maurizio Iacoangeli
- Department of Neurosurgery, Università Politecnica Delle Marche, Azienda Ospedali Riuniti, Ancona, Italy
| | - Pietro Mortini
- Department of Neurosurgery and Gamma Knife Radiosurgery, San Raffaele Scientific Institute, Vita-Salute University, Milan, Italy
| | | | - Federico Pessina
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090, Milan, Italy
- Neurosurgery Department, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Milan, Italy
| | - Fabrizio Pignotti
- Institute of Neurosurgery, Fondazione Policlinico Gemelli, Catholic University, Rome, Italy
- Unit of Neurosurgery, Mater Olbia Hospital, Olbia, Italy
| | - Giampietro Pinna
- Unit of Neurosurgery, Department of Neurosciences, Hospital Trust of Verona, 37134, Verona, Italy
| | - Antonino Raco
- Division of Neurosurgery, Department of NESMOS, AOU Sant'Andrea, Sapienza University, Rome, Italy
| | - Francesco Sala
- Department of Neurosciences, Biomedicines and Movement Sciences, Institute of Neurosurgery, University of Verona, 37134, Verona, Italy
| | - Francesco Signorelli
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, Neurosurgery Unit, University "Aldo Moro", 70124, Bari, Italy
| | - Silvio Sarubbo
- Department of Neurosurgery, Santa Chiara Hospital, Azienda Provinciale Per I Servizi Sanitari (APSS), Trento, Italy
| | - Miran Skrap
- Division of Neurosurgery, Head-Neck and NeuroScience Department, University Hospital of Udine, Udine, Italy
| | | | - Teresa Somma
- Division of Neurosurgery, Department of Neurosciences, Reproductive and Odontostomatological Sciences, Università Degli Studi Di Napoli Federico II, Naples, Italy
| | | | | | - Vincenzo Esposito
- Department of Neurosurgery "Giampaolo Cantore"-IRCSS Neuromed, Pozzilli, Italy
- Department of Human, Neurosciences-"Sapienza" University of Rome, Rome, Italy
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Optical spectroscopy and chemometrics in intraoperative tumor margin assessment. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.116955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
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Sharma M, Wang D, Palmisciano P, Ugiliweneza B, Woo S, Nelson M, Miller D, Savage J, Boakye M, Andaluz N, Mistry AM, Chen CC, Williams BJ. Is intraoperative MRI use in malignant brain tumor surgery a health care burden? A matched analysis of MarketScan Database. J Neurooncol 2022; 160:331-339. [DOI: 10.1007/s11060-022-04142-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 09/20/2022] [Indexed: 10/31/2022]
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Effect of 3D Slicer Preoperative Planning and Intraoperative Guidance with Mobile Phone Virtual Reality Technology on Brain Glioma Surgery. CONTRAST MEDIA & MOLECULAR IMAGING 2022; 2022:9627663. [PMID: 35795881 PMCID: PMC9155860 DOI: 10.1155/2022/9627663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 04/15/2022] [Accepted: 04/27/2022] [Indexed: 12/01/2022]
Abstract
Objective To explore the effect of 3D Slicer preoperative planning and intraoperative guidance with mobile phone virtual reality (VR) technology on brain glioma surgery. Methods By means of retrospective study, the data of 77 brain glioma patients treated in the neurosurgery departments at The Second Affiliated Hospital of Wannan Medical College and Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from January 2015 to January 2022 were analyzed, and the patients were divided into the experimental group (EG, n = 38) and the control group (CG, n = 39) according to the surgical modalities. Before surgery, all patients received positron emission tomography-computed tomography (PET/CT) scanning and magnetic resonance imaging (MRI) examination. For patients in EG, the DICOM format images acquired from PET-CT and MRI examinations were imported with the 3D Slicer software for 3D visual fusion reconstruction, acquiring VR images, and developing detailed preoperative planning. Then, the reconstructed images were imported into the Sina software on a mobile phone, and the surgery was performed with the assistance of VR technology; for patients in CG, traditional 2D images were used for tumor contour drawing by the subjective visual method, and the craniotomy was performed under a traditional microscope. Patients' surgery indicators and Karnofsky Performance Scale (KPS) scores were compared between the two groups. Results The number of cases with total resection, rate of total resection, hospital stay after surgery, and surgery time were significantly better in EG than in CG (P < 0.05); after treatment, the KPS score was significantly higher in EG than in CG (75.66 ± 4.01 vs 65.36 ± 5.23, P < 0.001). Conclusion Combining 3D Slicer preoperative planning with intraoperative mobile phone VR technology can promote the accuracy of brain glioma surgery, which is conducive to effectively removing tumors while protecting patients' neural function.
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Matsumae M, Nishiyama J, Kuroda K. Intraoperative MR Imaging during Glioma Resection. Magn Reson Med Sci 2022; 21:148-167. [PMID: 34880193 PMCID: PMC9199972 DOI: 10.2463/mrms.rev.2021-0116] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 10/11/2021] [Indexed: 11/09/2022] Open
Abstract
One of the major issues in the surgical treatment of gliomas is the concern about maximizing the extent of resection while minimizing neurological impairment. Thus, surgical planning by carefully observing the relationship between the glioma infiltration area and eloquent area of the connecting fibers is crucial. Neurosurgeons usually detect an eloquent area by functional MRI and identify a connecting fiber by diffusion tensor imaging. However, during surgery, the accuracy of neuronavigation can be decreased due to brain shift, but the positional information may be updated by intraoperative MRI and the next steps can be planned accordingly. In addition, various intraoperative modalities may be used to guide surgery, including neurophysiological monitoring that provides real-time information (e.g., awake surgery, motor-evoked potentials, and sensory evoked potential); photodynamic diagnosis, which can identify high-grade glioma cells; and other imaging techniques that provide anatomical information during the surgery. In this review, we present the historical and current context of the intraoperative MRI and some related approaches for an audience active in the technical, clinical, and research areas of radiology, as well as mention important aspects regarding safety and types of devices.
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Affiliation(s)
- Mitsunori Matsumae
- Department of Neurosurgery, Tokai University School of Medicine, Isehara, Kanagawa, Japan
| | - Jun Nishiyama
- Department of Neurosurgery, Tokai University School of Medicine, Isehara, Kanagawa, Japan
| | - Kagayaki Kuroda
- Department of Human and Information Sciences, School of Information Science and Technology, Tokai University, Hiratsuka, Kanagawa, Japan
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