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What is the advance of extent of resection in glioblastoma surgical treatment—a systematic review

Abstract

Glioblastoma multiform (GBM) is the most common malignant brain tumor characterized by poor prognosis, increased invasiveness, and high relapse rates. The relative survival estimates are quite low in spite of the standard treatment for GBM in recent years. Now, it has been gradually accepted that the amount of tumor mass removed correlates with longer survival rates. Although new technique advances allowing intraoperative analysis of tumor and normal brain tissue and functional paradigms based on stimulation techniques to map eloquent areas have been used for GBM resection, visual identification of tumor margins still remains a challenge for neurosurgeons. This article attempts to review and summarize the evolution of surgical resection for glioblastomas.

Background

Glioblastoma multiform (GBM) is the most common of all malignant central nervous system (CNS) tumors, which accounts for 47.1% of primary malignant brain tumors, or about 12,390 new cases each year in the USA [1]. Since GBM is one of the most aggressive types of cancer, relative survival estimates are quite low, with only 5.1% of patients surviving 5 years after diagnosis [2]. The optimal treatment for GBM consists of the combination of surgical resection, radiation therapy, and chemotherapy [3,4,5]. The surgical resection for glioma aims at relieving mass effect, achieving cytoreduction, and providing adequate tissue for histology and molecular tumor characterization [3]. In the absence of new neurological deficit, which are one of the prognostic factors in glioblastomas, higher volume of tumor mass resected correlates with longer survival in GBM patients [6, 7]. Furthermore, there is no controversy about maximal resection which is beneficial for patient’s prognosis compared to biopsy or no surgery. In general, there are three stages in the development of surgical treatment for GBM: (1) early biopsy, (2) gross total resection (GTR) for contrast-enhanced T1 magnetic resonance imaging (MRI), and (3) Maximal-resection for T2 magnetic resonance imaging or fluid-attenuated inversion recovery (FLAIR) abnormalities. This article reviews the key historic literature and focuses on the evolution of surgical resection strategies for glioblastomas.

Early biopsy stage

One of the founding fathers of modern neurosurgery, Walter Dandy [8], described the five right hemispherectomy procedures that he performed for the treatment of gliomas. Though he briefly mentioned the pathologies for some of the cases, it is safe to judge from his description that a number of tumors possessed the characteristics of malignancy: spreading to the contralateral side via corpus callosum, and recurrence in a short period of time. In the conclusion part, Dandy concluded that although this was a very aggressive operation to be advised, it nevertheless offers much longer extension of life to patients compared to any other possible form of treatment. Moreover, when the tumor cannot be completely resected, the procedure offers a treatment possibility otherwise not obtainable in certain tumors situated within the confines of the hemisphere. This can be considered as the first documented surgical procedure proposed for the treatment of malignant gliomas.

Contrast-enhanced T1 MRI for gross total resection

With the advent of computed tomography (CT) and magnetic resonance imaging (MRI), neurosurgeons were able to localize the tumor preoperatively, dramatically improving surgical accuracy and lowering morbidity and mortality. Moreover, the amount of tumor mass removed was no longer an approximate estimate of the neurosurgeons. Lacroix et al. [9] introduced the novel concept of a maximum extent of resection (EOR). The study reported the result of a retrospective study based on a cohort of 416 patients with histological proven GBM who underwent tumor resection and identified five prognostic predictors including age, Karnofsky Performance Scale (KPS) score, extent of resection, and the degree of necrosis and enhancement on preoperative MRI. Furthermore, they reached the conclusion that resection of 89% or more of the tumor volume was necessary to obtain significant survival improvement after surgery, while resection of 98% or more of the tumor volume is a significant independent predictor of survival in the multivariate analysis for the whole group. This paper established the concept that the highest tumor volume resected leads to better prognosis in GBM. Specifically, resection of 89% or more of the tumor volume significantly increases patient’s survival. Ten years later, Sanai et al. [10] looked at a cohort of 500 newly diagnosed supratentorial GBM patients between 1997 and 2005 who underwent surgical resection of the tumors followed by standard chemotherapy and radiation therapy. Patients that had previous resection or neoadjuvant therapy were excluded. Interestingly, it was demonstrated that as little as 78% EOR resulted in a significant survival advantage. At almost the same time, Orringer et al. [11] showed that EOR is significantly affected by tumor location, size, and neurosurgeon’s experience. This retrospective study also revealed a relationship between EOR and survival indicating that EOR greater than 90% was associated with greater 1-year survival than EOR less than 90%. However, it was objected that the mixed patient sampling of both newly diagnosed and recurrent GBM disrupted the uniformity of the study.

The concept of maximum EOR stimulated active research and leads to several other publications on the relationship among gross total resection (GTR), residual volume (RV), and survival [4, 12,13,14,15,16,17]. Most recently, the first quantitative meta-analysis on association of the extent of resection with survival in glioblastoma was carried out by Brown et al. [18] who systematically reviewed relevant papers published from January 1996 to December 2015. Adult patients (37 studies were recruited) with newly diagnosed supratentorial GBM undergoing various EORs were analyzed and presented objective overall or progression-free survival (PFS) data. The meta-analysis revealed that GTR probably increases the likelihood of 1-year survival compared with subtotal resection (STR) by about 61%, 2-year survival by about 19%, and progression-free survival at 12 months by 51%. In conclusion, GTR is favored in all patients with newly diagnosed GBM.

T2 MRI or FLAIR for maximal resection

Sherriff et al. [19] published a retrospective study to discuss the optimal irradiation pattern for postoperative patients with glioblastoma and suggested that most of relapsing tumors occur within 2 cm of the original contrast-enhanced mass. Due to the invasive nature of glioblastoma, it is not surprising that the tumor cells have already infiltrated beyond the contrast-enhanced T1 MRI. Here comes a question: can we do better than gross total resection? When most of neurosurgeons focused on gross total resection of contrast-enhanced T1 MRI, Li et al. [20] pushed the boundary of surgical resection procedures even further by performing additional resection of the T2 MRI or FLAIR abnormality beyond the contrast-enhanced T1 MRI. Their conclusion consists of two parts: (1) The median survival time for complete resection patients was significantly longer than that for incomplete resection patients (15.2 months versus 9.8 months, p < 0.001). (2) Resection of a significant portion (≥ 53.21%) of the T2 MRI or FLAIR abnormality region, if feasible and safely attempted, could have a beneficial impact on the survival of patients with GBM (median survival time 20.7 months versus 15.5 months, p < 0.001). At the same time, Brian et al. [21] demonstrated that the molecular and cellular composition of nonenhanced (NE) region differ significantly from those of the contrast-enhanced (CE) regions of GBM as determined by radiographically localized biopsies. CE samples had significantly higher cellularity than NE samples. The NE region showed the histological features of diffusely infiltrating glioma with neoplastic glial cells intermingled with nonneoplastic and reactive cells. This novel abnormal T2 MRI or FLAIR resection can be used to identify and access new therapeutic targets that may be expressed by infiltrating glioma cells or by nonneoplastic/reactive cells that play a key role in disease progression and stimulate further investigations.

Discussion

Dating back to Dandy’s era, investigations on the best surgical procedures to maximize treatment outcome in gliomas have been spanning for almost 100 years. Based on the concept of obtaining tissue sample for definitive diagnosis and reducing intracranial pressure, biopsy remained the main purpose of surgery in the middle to late twentieth century which was performed by either burr-hole or craniotomy [22,23,24]. As more evidence surfaced supporting the positive correlation between resection and survival, gross total resection came to the scientific community attention. Now, maximal safe resection of malignant gliomas as the first step of standard therapy is an accepted treatment strategy in malignant glioma surgery, and more evidence has elucidated a positive relationship between surgical resection and survival [18, 20, 25, 26]. In recent years, some new tools and techniques have been implemented to safely achieve GTR and to improve surgical results, such as fluorescein-guided technique, ultrasonography, intraoperative MRI (iMRI), and neuronavigation with functional MRI (fMRI). In the past 2 years, fluorescein sodium- and 5-ALA-guided techniques have been reported in many institutions to be effective for maximal safe resection of GBM and for prolonging the patients’ progression-free survival. Moreover, some reports supported the notion that these tools have an effect also on the patients’ overall survival (OS). Although growing evidence supported the use of intraoperative fluorescent agents, there are some hindered drawbacks for these techniques. To date, 5-ALA remains an expensive compound and requires special equipment and environment during the surgical procedure, although specificity and sensitivity for tumoral tissues of 5-ALA are 100% and 85% respectively [27], and fluorescein sodium has been based only on observational cohort studies and case series [16, 27].

Similar to 5-ALA-guided resection results, the use of preoperative fMRI and neuronavigation have improved maximal safe resection of GBM and prolonged median survival time to 20.7 months in our previously published article [20]. However, brain shift is an intrinsic difficulty in the use of neuronavigation, which result from patient’s positioning, dural opening, cerebrospinal fluid (CSF) loss, residual tumor volume decreasing, and peritumoral edema. The technique of iMRI offers a unique method to monitor brain shift, register whenever necessary, and to quantitative the residual tumoral volume, then using this data to decide whether further resection is necessary or not. Some authors have demonstrated that the use of iMRI achieved higher rate of GTR and significantly improved survival compared with conventional surgery using intraoperative neuronavigation alone [28,29,30,31]. Furthermore, Coburger et al. [32] even found that combining 5-ALA with iMRI achieved GTR in 100% of patients compared with 82% when using iMRI alone. Eyupoglu et al. [33] also demonstrated that combining these two techniques of iMRI and 5-ALA significantly improved life expectancy (from 14 to 18.5 months) for “supra-complete resection.” However, some authors argued that MRI only provided tumor anatomic detail and localization, which have limited utility in delineating the full tumor contour. Ellen et al. [34] described a novel technique combining positron emission tomography (PET)-guided MR spectroscopy (MRS). This study introduced MRS, which was initially non-diagnostic for malignancy, as a tool to diagnose grade IV GBM when combined with PET. Benoit et al. [35] also reported that metabolic information helped the surgical planning and PET-guided resection resulted in longer survival in GBM, while MRI-guided was not correlated with a significantly better survival. Limited data is available regarding the OS and the quality of life of patients, both of which are more of a concern for neurosurgeons. Although iMRI seems to have a better application prospect, high cost equipment, operating room refurbishment, and longer operating time limits its widespread use.

Intraoperative ultrasound is relatively inexpensive tool compared to iMRI and is convenient to account for brain shift, predict residual tumor, and visualize vascular relationships to tumor. Some authors have demonstrated that GTR was achieved in 55%–83% of their cases with or without neuronavigation when complete resection was the goal of surgery [36,26,27,28,29,30,31,32,33,34,35,38]. Prada et al. [38] recently reported that intraoperative ultrasound have an effective and specific role in identifying residual tumor, especially using contrast-enhanced ultrasound in GBM surgery. In a meta-analysis, Mahboob et al. [39] found an average GTR rate of 71% for high-grade gliomas compared to other techniques. However, there are still some drawbacks. Intraoperative ultrasound is an operator-dependent technique, so the learning curve for the technique can be steep and the level of experience in its use can affect image quality, orientation, and interpretation. Furthermore, different surface, bleeding, and hemostatic agents during the surgical procedure affect image quality, sensitivity, and specificity, which influence the decision to proceed with further resection. Despite these drawbacks, the development of 3D and higher frequency cranial probes still makes this technology attractive for the removal of malignant gliomas in the future.

When identifying eloquent areas of GBM involving cortical and subcortical regions, emerging technologies such as awake craniotomy (AC), laser interstitial thermal therapy (LITT), and Raman spectroscopy seem to be more effective in removing tumors without affecting the patient’s quality of life. The advantages of AC include better GTR, improved postoperative functional status, better postoperative KPS status, lower length of hospitalization, and low postoperative morbidities, especially when the tumor located in eloquent areas where the neurosurgeon cannot rely on the MRI and the anatomy itself for the maximal extent of resection [40,41,42,43,44]. LITT has been used to treat glioblastoma which was difficult to resect [45], and recurrent GBM [46]. All patients treated with LITT showed a significant increase in overall survival compared to traditional therapy. Jermyn et al. [47] developed a handheld probe (Raman spectroscopy) to differentiate between normal white and grey matter in tumor tissue, and obtained a sensitivity of 94% and specificity of 91% for WHO grade IV glioblastoma tissue. Banerjee and Verma [48] highly endorsed the application prospect of this technology in glioma. However, only few medical centers reported that LITT and Raman spectroscopy are effective in GBM therapy, calling for more random trials which are necessary to evaluate the results of LITT in the future.

Apart from surgical treatment strategies, adjuvant therapies including chemotherapy and radiotherapy should be considered in the standard of care for GBM patients as they also influence patient survival, PFS, and OS [5, 49,50,51]. Matsuda et al. [25] reported a median OS of 36.9 months for patients who underwent GTR of newly diagnosed GBM, with a particular focus on the influence of the subventricular zone (SVZ), combined with high-dose proton beam therapy, compared with a median OS of 26.2 months for patients treated with conventional radiotherapy. Emmanuel et al. [52] evaluated GBM patients characterized by long-term survival (LTS; survival of at least 3 years after diagnosis). Twelve patients out of 101 that underwent surgical resection became LTS patients. Among those 12 LTS patients, seven of them had a gross total resection (GTR), including two with an additional resection after iMRI, three had a near total resection and one had a partial resection, ten patients had a methylation of methylguanine-DNA methyltransferase (MGMT), only two had an isocitrate dehydrogenase 1 (IDH1) mutation, and seven received a full Stupp protocol. Half of the patients with a second surgery survived at least 2 years postoperatively. Those encouraging observations emphasize the importance of maximizing the resection using advanced techniques, and future research should focus on the microenvironment of GBM and, if necessary, multiple surgical procedures although GBM therapy remains challenging.

Abbreviations

5-ALA:

5-Aminolevulinic acid

AC:

Awake craniotomy

CE:

Contrast-enhanced

CNS:

Central nervous system

CSF:

Cerebrospinal fluid

CT:

Computed tomography

EOR:

Extent of resection

FLAIR:

Fluid-attenuated inversion recovery

fMRI:

Functional magnetic resonance imaging

GTR:

Gross total resection

IDH:

Isocitrate dehydrogenase

iMRI:

Intraoperative magnetic resonance imaging

KPS:

Karnofsky Performance Scale

LITT:

Laser interstitial thermal therapy

LTS:

Long-term survival

MGMT:

Methylguanine-DNA methyltransferase

MRI:

Magnetic resonance imaging

NE:

Nonenhanced

OS:

Overall survival

PFS:

Progression-free survival

RV:

Residual volume

STR:

Subtotal resection

SVZ:

Subventricular zone

References

  1. Ostrom QT, Gittleman H, Liao P, Vecchione-Koval T, Wolinsky Y, Kruchko C, et al. CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2010-2014. Neuro-Oncology. 2017;19(suppl_5):v1–v88. https://doi.org/10.1093/neuonc/nox158.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Ostrom QT, Gittleman H, Fulop J, Liu M, Blanda R, Kromer C, et al. CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2008-2012. Neuro-Oncology. 2015;17(Suppl 4):iv1–iv62. https://doi.org/10.1093/neuonc/nov189.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Omuro A, DeAngelis LM. Glioblastoma and other malignant gliomas: a clinical review. JAMA. 2013;310(17):1842–50. https://doi.org/10.1001/jama.2013.280319.

    Article  CAS  PubMed  Google Scholar 

  4. Stummer W, Pichlmeier U, Meinel T, Wiestler OD, Zanella F, Reulen HJ, et al. Fluorescence-guided surgery with 5-aminolevulinic acid for resection of malignant glioma: a randomised controlled multicentre phase III trial. Lancet Oncol. 2006;7(5):392–401. https://doi.org/10.1016/S1470-2045(06)70665-9.

    Article  CAS  PubMed  Google Scholar 

  5. Stupp R, Mason WP, van den Bent MJ, Weller M, Fisher B, Taphoorn MJ, et al. R. European Organisation for, T. Treatment of Cancer Brain, G. Radiotherapy, and G. National Cancer Institute of Canada Clinical Trials, Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med. 2005;352(10):987–96. https://doi.org/10.1056/NEJMoa043330.

    Article  CAS  PubMed  Google Scholar 

  6. Sanai N, Berger MS. Glioma extent of resection and its impact on patient outcome. Neurosurgery. 2008;62(4):753–64discussion 264-6. https://doi.org/10.1227/01.neu.0000318159.21731.cf.

    Article  PubMed  Google Scholar 

  7. McGirt MJ, Chaichana KL, Gathinji M, Attenello FJ, Than K, Olivi A, et al. Independent association of extent of resection with survival in patients with malignant brain astrocytoma. J Neurosurg. 2009;110(1):156–62. https://doi.org/10.3171/2008.4.17536.

    Article  PubMed  Google Scholar 

  8. Dandy WE. Removal of right cerebral hemisphere for certain tumors with hemiplegia: preliminary report. JAMA. 1928. https://doi.org/10.1001/jama.1928.02690380007003.

  9. Lacroix M, Abi-Said D, Fourney DR, Gokaslan ZL, Shi W, DeMonte F, et al. A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival. J Neurosurg. 2001;95(2):190–8. https://doi.org/10.3171/jns.2001.95.2.0190.

    Article  CAS  PubMed  Google Scholar 

  10. Sanai N, Polley MY, McDermott MW, Parsa AT, Berger MS. An extent of resection threshold for newly diagnosed glioblastomas. J Neurosurg. 2011;115(1):3–8. https://doi.org/10.3171/2011.2.JNS10998.

    Article  PubMed  Google Scholar 

  11. Orringer D, Lau D, Khatri S, Zamora-Berridi GJ, Zhang K, Wu C, et al. Extent of resection in patients with glioblastoma: limiting factors, perception of resectability, and effect on survival. J Neurosurg. 2012;117(5):851–9. https://doi.org/10.3171/2012.8.JNS12234.

    Article  PubMed  Google Scholar 

  12. Stummer W, van den Bent MJ, Westphal M. Cytoreductive surgery of glioblastoma as the key to successful adjuvant therapies: new arguments in an old discussion. Acta Neurochir. 2011;153(6):1211–8. https://doi.org/10.1007/s00701-011-1001-x.

    Article  PubMed  Google Scholar 

  13. Stummer W, Reulen HJ, Meinel T, Pichlmeier U, Schumacher W, Tonn JC, et al. Extent of resection and survival in glioblastoma multiforme: identification of and adjustment for bias. Neurosurgery. 2008;62(3):564–76discussion 564-76. https://doi.org/10.1227/01.neu.0000317304.31579.17.

    Article  PubMed  Google Scholar 

  14. Stummer W, Kamp MA. The importance of surgical resection in malignant glioma. Curr Opin Neurol. 2009;22(6):645–9. https://doi.org/10.1097/WCO.0b013e3283320165.

    Article  PubMed  Google Scholar 

  15. Pichlmeier U, Bink A, Schackert G, Stummer W, A.L.A.G.S. Group. Resection and survival in glioblastoma multiforme: an RTOG recursive partitioning analysis of ALA study patients. Neuro-Oncology. 2008;10(6):1025–34. https://doi.org/10.1215/15228517-2008-052.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Stummer W, Novotny A, Stepp H, Goetz C, Bise K, Reulen HJ. Fluorescence-guided resection of glioblastoma multiforme by using 5-aminolevulinic acid-induced porphyrins: a prospective study in 52 consecutive patients. J Neurosurg. 2000;93(6):1003–13. https://doi.org/10.3171/jns.2000.93.6.1003.

    Article  CAS  PubMed  Google Scholar 

  17. Chaichana KL, Cabrera-Aldana EE, Jusue-Torres I, Wijesekera O, Olivi A, Rahman M, et al. When gross total resection of a glioblastoma is possible, how much resection should be achieved? World Neurosurg. 2014;82(1–2):e257–65. https://doi.org/10.1016/j.wneu.2014.01.019.

    Article  PubMed  Google Scholar 

  18. Brown TJ, Brennan MC, Li M, Church EW, Brandmeir NJ, Rakszawski KL, et al. Association of the extent of resection with survival in glioblastoma: a systematic review and meta-analysis. JAMA Oncol. 2016;2(11):1460–9. https://doi.org/10.1001/jamaoncol.2016.1373.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Sherriff J, Tamangani J, Senthil L, Cruickshank G, Spooner D, Jones B, et al. Patterns of relapse in glioblastoma multiforme following concomitant chemoradiotherapy with temozolomide. Br J Radiol. 2013;86(1022):20120414. https://doi.org/10.1259/bjr.20120414.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Li YM, Suki D, Hess K, Sawaya R. The influence of maximum safe resection of glioblastoma on survival in 1229 patients: can we do better than gross-total resection? J Neurosurg. 2016;124(4):977–88. https://doi.org/10.3171/2015.5.JNS142087.

    Article  PubMed  Google Scholar 

  21. Gill BJ, Pisapia DJ, Malone HR, Goldstein H, Lei L, Sonabend A, et al. MRI-localized biopsies reveal subtype-specific differences in molecular and cellular composition at the margins of glioblastoma. Proc Natl Acad Sci U S A. 2014;111(34):12550–5. https://doi.org/10.1073/pnas.1405839111.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Nazzaro JM, Neuwelt EA. The role of surgery in the management of supratentorial intermediate and high-grade astrocytomas in adults. J Neurosurg. 1990;73(3):331–44. https://doi.org/10.3171/jns.1990.73.3.0331.

    Article  CAS  PubMed  Google Scholar 

  23. Toennis W, Walter W. Glioblastoma multiforme (report on 2611 cases). Acta Neurochir Suppl (Wien). 1959;6:40–62.

    CAS  Google Scholar 

  24. Kreth FW, Berlis A, Spiropoulou V, Faist M, Scheremet R, Rossner R, et al. The role of tumor resection in the treatment of glioblastoma multiforme in adults. Cancer. 1999;86(10):2117–23.

    Article  CAS  PubMed  Google Scholar 

  25. Matsuda M, Kohzuki H, Ishikawa E, Yamamoto T, Akutsu H, Takano S, et al. Prognostic analysis of patients who underwent gross total resection of newly diagnosed glioblastoma. J Clin Neurosci. 2018;50:172–6. https://doi.org/10.1016/j.jocn.2018.01.009.

    Article  PubMed  Google Scholar 

  26. Pessina F, Navarria P, Cozzi L, Ascolese AM, Simonelli M, Santoro A, et al. Maximize surgical resection beyond contrast-enhancing boundaries in newly diagnosed glioblastoma multiforme: is it useful and safe? A single institution retrospective experience. J Neuro-Oncol. 2017;135(1):129–39. https://doi.org/10.1007/s11060-017-2559-9.

    Article  Google Scholar 

  27. Okuda T, Yoshioka H, Kato A. Fluorescence-guided surgery for glioblastoma multiforme using high-dose fluorescein sodium with excitation and barrier filters. J Clin Neurosci. 2012;19(12):1719–22. https://doi.org/10.1016/j.jocn.2011.12.034.

    Article  PubMed  Google Scholar 

  28. Senft C, Bink A, Franz K, Vatter H, Gasser T, Seifert V. Intraoperative MRI guidance and extent of resection in glioma surgery: a randomised, controlled trial. Lancet Oncol. 2011;12(11):997–1003. https://doi.org/10.1016/S1470-2045(11)70196-6.

    Article  PubMed  Google Scholar 

  29. Chen LF, Yang Y, Ma XD, Yu XG, Gui QP, Xu BN, Zhou DB. Optimizing the extent of resection and minimizing the morbidity in insular high-grade glioma surgery by high-field intraoperative MRI guidance. Turk Neurosurg. 2017;27(5):696–706. https://doi.org/10.5137/1019-5149.JTN.18346-16.1.

    Article  PubMed  Google Scholar 

  30. Nimsky C, Ganslandt O, Hastreiter P, Wang R, Benner T, Sorensen AG, et al. Preoperative and intraoperative diffusion tensor imaging-based fiber tracking in glioma surgery. Neurosurgery. 2007;61(1 Suppl):178–85discussion 186. https://doi.org/10.1227/01.neu.0000279214.00139.3b.

    Article  PubMed  Google Scholar 

  31. Bander ED, Magge R, Ramakrishna R. Advances in glioblastoma operative techniques. World Neurosurg. 2018;116:529–38. https://doi.org/10.1016/j.wneu.2018.04.023.

    Article  PubMed  Google Scholar 

  32. Coburger J, Engelke J, Scheuerle A, Thal DR, Hlavac M, Wirtz CR, et al. Tumor detection with 5-aminolevulinic acid fluorescence and Gd-DTPA-enhanced intraoperative MRI at the border of contrast-enhancing lesions: a prospective study based on histopathological assessment. Neurosurg Focus. 2014;36(2):E3. https://doi.org/10.3171/2013.11.FOCUS13463.

    Article  PubMed  Google Scholar 

  33. Eyupoglu IY, Hore N, Merkel A, Buslei R, Buchfelder M, Savaskan N. Supra-complete surgery via dual intraoperative visualization approach (DiVA) prolongs patient survival in glioblastoma. Oncotarget. 2016;7(18):25755–68. https://doi.org/10.18632/oncotarget.8367.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Kim ES, Satter M, Reed M, Fadell R, Kardan A. A novel, integrated PET-guided MRS technique resulting in more accurate initial diagnosis of high-grade glioma. Neuroradiol J. 2016;29(3):193–7. https://doi.org/10.1177/1971400916639962.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Pirotte BJ, Levivier M, Goldman S, Massager N, Wikler D, Dewitte O, et al. Positron emission tomography-guided volumetric resection of supratentorial high-grade gliomas: a survival analysis in 66 consecutive patients. Neurosurgery. 2009;64(3):471–81discussion 481. https://doi.org/10.1227/01.NEU.0000338949.94496.85.

    Article  PubMed  Google Scholar 

  36. Moiyadi AV, Shetty PM, Mahajan A, Udare A, Sridhar E. Usefulness of three-dimensional navigable intraoperative ultrasound in resection of brain tumors with a special emphasis on malignant gliomas. Acta Neurochir. 2013;155(12):2217–25. https://doi.org/10.1007/s00701-013-1881-z.

    Article  PubMed  Google Scholar 

  37. Tian YJ, Lin S, Liu HZ, Wang LS, He W, Zhang MZ, et al. Value of intra-operative ultrasound in detecting the boundaries of intra cranial gliomas. Zhonghua Yi Xue Za Zhi. 2009;89(19):1305–8.

    PubMed  Google Scholar 

  38. Prada F, Bene MD, Fornaro R, Vetrano IG, Martegani A, Aiani L, et al. Identification of residual tumor with intraoperative contrast-enhanced ultrasound during glioblastoma resection. Neurosurg Focus. 2016;40(3):E7. https://doi.org/10.3171/2015.11.FOCUS15573.

    Article  PubMed  Google Scholar 

  39. Mahboob S, McPhillips R, Qiu Z, Jiang Y, Meggs C, Schiavone G, et al. Intraoperative ultrasound-guided resection of gliomas: a meta-analysis and review of the literature. World Neurosurg. 2016;92:255–63. https://doi.org/10.1016/j.wneu.2016.05.007.

    Article  PubMed  Google Scholar 

  40. Eseonu CI, Rincon-Torroella J, ReFaey K, Lee YM, Nangiana J, Vivas-Buitrago T, et al. Awake craniotomy vs craniotomy under general anesthesia for Perirolandic gliomas: evaluating perioperative complications and extent of resection. Neurosurgery. 2017;81(3):481–9. https://doi.org/10.1093/neuros/nyx023.

    Article  PubMed  Google Scholar 

  41. Eseonu CI, Rincon-Torroella J, ReFaey K, Quinones-Hinojosa A. The cost of brain surgery: awake vs asleep craniotomy for Perirolandic region tumors. Neurosurgery. 2017;81(2):307–14. https://doi.org/10.1093/neuros/nyx022.

    Article  PubMed  Google Scholar 

  42. Southwell DG, Hervey-Jumper SL, Perry DW, Berger MS. Intraoperative mapping during repeat awake craniotomy reveals the functional plasticity of adult cortex. J Neurosurg. 2016;124(5):1460–9. https://doi.org/10.3171/2015.5.JNS142833.

    Article  PubMed  Google Scholar 

  43. Lau D, Hervey-Jumper SL, Han SJ, Berger MS. Intraoperative perception and estimates on extent of resection during awake glioma surgery: overcoming the learning curve. J Neurosurg. 2018;128(5):1410–8. https://doi.org/10.3171/2017.1.JNS161811.

    Article  PubMed  Google Scholar 

  44. Bajunaid KM, Ajlan AM. Awake craniotomy. A patient’s perspective. Neurosciences (Riyadh). 2015;20(3):248–52. https://doi.org/10.17712/nsj.2015.3.20140548.

    Article  Google Scholar 

  45. Mohammadi AM, Hawasli AH, Rodriguez A, Schroeder JL, Laxton AW, Elson P, et al. The role of laser interstitial thermal therapy in enhancing progression-free survival of difficult-to-access high-grade gliomas: a multicenter study. Cancer Med. 2014;3(4):971–9. https://doi.org/10.1002/cam4.266.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Carpentier A, Chauvet D, Reina V, Beccaria K, Leclerq D, McNichols RJ, et al. MR-guided laser-induced thermal therapy (LITT) for recurrent glioblastomas. Lasers Surg Med. 2012;44(5):361–8. https://doi.org/10.1002/lsm.22025.

    Article  PubMed  Google Scholar 

  47. Jermyn M, Mok K, Mercier J, Desroches J, Pichette J, Saint-Arnaud K, et al. Intraoperative brain cancer detection with Raman spectroscopy in humans. Sci Transl Med. 2015;7(274):274ra19. https://doi.org/10.1126/scitranslmed.aaa2384.

    Article  CAS  PubMed  Google Scholar 

  48. Banerjee H, Verma M. Intraoperative brain cancer detection with Raman spectroscopy in humans. Ann Transl Med. 2016;4(4):68. https://doi.org/10.3978/j.issn.2305-5839.2015.11.16.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Stupp R, Taillibert S, Kanner A, Read W, Steinberg D, Lhermitte B, et al. Effect of tumor-treating fields plus maintenance temozolomide vs maintenance temozolomide alone on survival in patients with glioblastoma: a randomized clinical trial. JAMA. 2017;318(23):2306–16. https://doi.org/10.1001/jama.2017.18718.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Akiyama Y, Kimura Y, Enatsu R, Mikami T, Wanibuchi M, Mikuni N. Advantages and disadvantages of combined chemotherapy with carmustine wafer and bevacizumab in patients with newly diagnosed glioblastoma: a single-institutional experience. World Neurosurg. 2018;113:e508–14. https://doi.org/10.1016/j.wneu.2018.02.070.

    Article  PubMed  Google Scholar 

  51. Yang DY, Bu XY, Zhou ZL, Yan ZY, Ma CX, Qu MQ, Zhao YW, Kong LF, Wang YW, Luo JC. Enhanced antitumor effects of radiotherapy combined local nimustine delivery rendezvousing with oral temozolomide chemotherapy in glioblastoma patients. J Cancer Res Ther. 2018;14(1):78–83. https://doi.org/10.4103/jcrt.JCRT_844_17.

    Article  PubMed  Google Scholar 

  52. Emmanuel C, Lawson T, Lelotte J, Fomekong E, Vaz G, Renard L, et al. Long-term survival after glioblastoma resection: hope despite poor prognosis factors. J Neurosurg Sci. 2018. https://doi.org/10.23736/S0390-5616.18.04180-2.

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BL and LW drafted the manuscript. YL helped to revise the manuscript. XL, JH, and YML conceived of this study. All authors read and approved the final manuscript.

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Wang, L., Liang, B., Li, Y.I. et al. What is the advance of extent of resection in glioblastoma surgical treatment—a systematic review. Chin Neurosurg Jl 5, 2 (2019). https://doi.org/10.1186/s41016-018-0150-7

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