| Literature DB >> 34636967 |
Meng Cui1,2, Hewen Chen1,2, Guochen Sun2, Jialin Liu2, Meng Zhang1,2, Hepu Lin3, Caihong Sun2, Xiaodong Ma4,5.
Abstract
PURPOSE: To compare the multimodal techniques (including neuronavigation, intraoperative MRI [iMRI], and neuromonitoring [IONM]) and conventional approach (only guided by neuronavigation) in removing glioblastoma (GBM) with corpus callosum (CC) involvement (ccGBM), their effectiveness and safety were analyzed and compared.Entities:
Keywords: Corpus callosum; Glioblastoma; Intraoperative magnetic resonance; Intraoperative neuromonitoring; Neuronavigation; Survival
Mesh:
Year: 2021 PMID: 34636967 PMCID: PMC8913450 DOI: 10.1007/s00701-021-05008-6
Source DB: PubMed Journal: Acta Neurochir (Wien) ISSN: 0001-6268 Impact factor: 2.816
Fig. 1Resection procedure assisted by multimodal techniques. A Preoperative plan of neuronavigation designed by the surgeon, sensory tracts (pink), motor tracts (purple), and tumor (green). B Bilateral minimally invasive craniotomy was designed to avoid injury to the superior sagittal sinus. C Resection guided by neuronavigation on a screen and under a microscope. Tumor was started to be removed via corticectomy avoiding eloquent cortices from the side that had the maximal tumor burden. D Continuous MEP, SEP, EEG, and EMG monitoring, as well as their alterations during the resection process. E iMRI magnet moved to the OR for scanning. F The residual tumor was identified on iMRI images. According to the iMRI DICOM data, the neuronavigation was updated to perform further resection
Fig. 2Characteristics of ccGBM that invaded different parts of the corpus callosum. All images originated from axial and coronal postcontrast 3D T1-weighted MRI. Genu invasion of the CC (A, D), body invasion of the CC (B, E), and splenium invasion of the CC (C, F). The upper column shows the bGBM (A–C); the lower column shows the non-butterfly ccGBM (D–F)
Baseline clinical and tumor characteristics between the multimodal and conventional groups
| Variables | Multimodal group | Conventional group | |
|---|---|---|---|
| Age (years)† | 49.4 ± 14.0 | 49.4 ± 10.5 | 0.987 |
| Sex, | 0.512 | ||
| Male | 30 (53.6) | 13 (61.9) | |
| Female | 26 (46.4) | 8 (38.1) | |
| Muscle strength | |||
| Related cases | 39 (69.6) | 11 (52.4) | 0.157 |
| Grades (0–5)‡ | 4.1 ± 1.3 | 4.3 ± 1.0 | 0.547 |
| Language | |||
| Related cases | 17 (30.4) | 6 (28.6) | 0.879 |
| AQ‡ | 94.6 ± 9.4 | 94.4 ± 9.8 | 0.696 |
| Cognitive impairment | |||
| Related cases | 48 (85.7) | 14 (66.7) | 0.120 |
| Median MoCA score (IQR)‡ | 27 (21–30) | 27 (19.5–30) | 0.790 |
| Median preop. KPS (IQR)‡ | 70 (60–80) | 80 (60–85) | 0.515 |
| Other symptoms, | |||
| Headache | 38 (67.9) | 12 (57.1) | 0.380 |
| Seizure | 7 (12.5) | 2 (9.5) | 1 |
| Nausea/vomiting | 12 (21.4) | 5 (23.8) | 1 |
| Hypoesthesia | 4 (7.1) | 2 (9.5) | 1 |
| Vision defect | 3 (5.4) | 1 (4.8) | 1 |
| bGBM, | 27 (48.2) | 9 (42.9) | 0.675 |
| Non-butterfly ccGBM, | 29 (51.8) | 12 (57.1) | |
| Tumor location | |||
| Frontal lobe | 35 (62.5) | 9 (42.9) | 0.121 |
| Frontal insular/temporal lobe | 15 (26.8) | 7 (33.3) | 0.571 |
| Parietal/parietooccipital lobe | 6 (10.7) | 5 (23.8) | 0.273 |
| Site of CC invasion, | |||
| Genu | 36 (64.3) | 10 (47.6) | 0.184 |
| Body | 6 (10.7) | 1 (4.8) | 0.716 |
| Splenium | 5 (8.9) | 5 (23.8) | 0.177 |
| Genu and body | 8 (14.3) | 3 (14.3) | 1 |
| Splenium and body | 1 (1.8) | 2 (9.5) | 0.179 |
| Preop. total tumor vol (cm3)‡ | 59.33 ± 40.30 | 60.40 ± 27.24 | 0.354 |
| CC invasion vol (cm3)‡ | 5.59 ± 3.60 | 7.07 ± 4.19 | 0.128 |
| Ratio of CC invasion/total vol (%)‡ | 11.39 ± 6.65 | 12.64 ± 5.98 | 0.287 |
| IDH 1/2 mutation, | 15 (26.8) | 9 (42.9) | 0.175 |
| MGMT methylation, | 22 (39.3) | 10 (47.6) | 0.509 |
| Radiotherapy, | 41 (73.2) | 16 (76.2) | 0.791 |
| Median TMZ cycles (range)‡ | 5.5 (0–31) | 4 (0–24) | 0.851 |
†Calculated by independent samples t test
‡Calculated by Mann–Whitney U test
Outcomes of the multimodal group and the conventional group
| Variables | Multimodal group (56) | Conventional group (21) | |||
|---|---|---|---|---|---|
| Length of hospital stay (IQR)‡ | 20 (15–25) | 17 (14–22.5) | 0.433 | ||
| Surgery-related complications, | 10 (17.9) | 5 (23.8) | 0.792 | ||
| EOR, % (IQR) | 100 (96.39–100) | 96.10 (87.71–100) | |||
| Rate of GTR (%) | 34 (60.7) | 7 (33.3) | |||
| Rate of NTR (%) | 16 (28.6) | 7 (33.3) | 0.411 | ||
| Muscle strength‡ | |||||
| Preoperative | 4.1 ± 1.3 | 4.3 ± 1.0 | 0.547 | ||
| At discharge | 3.6 ± 1.8 | 0.362 | 3.5 ± 1.7 | 0.149 | 0.711 |
| Postoperative 3 months | 4.2 ± 1.2 | 0.772 | 3.4 ± 2.0 | 0.153 | 0.152 |
| Preservation rate, | 36 (92.3) | 6 (54.5) | |||
| Permanent deficits, | 3 (5.4) | 5 (23.8) | |||
| AQ‡ | |||||
| Preoperative | 94.6 ± 9.4 | 94.4 ± 9.8 | 0.696 | ||
| At discharge | 93.7 ± 10.0 | 0.429 | 87.4 ± 15.3 | 0.096 | 0.180 |
| Postoperative 3 months | 93.5 ± 9.7 | 0.513 | 88.7 ± 13.6 | 0.151 | 0.254 |
| Preservation rate, | 14 (82.4) | 3 (50.0) | 0.279 | ||
| Permanent deficits, | 3 (5.4) | 3 (14.3) | 0.410 | ||
| MoCA score‡ | |||||
| Preoperative | 27 (21–30) | 27 (19.5–30) | 0.790 | ||
| At discharge | 27 (18–30) | 0.956 | 24 (16–30) | 0.549 | 0.339 |
| Postoperative 3 months | 27 (18.25–30) | 0.914 | 25 (16–30) | 0.567 | 0.315 |
| Preservation rate, | 44 (91.7) | 10 (71.4) | 0.125 | ||
| Permanent deficits, | 4 (7.1) | 4 (19.0) | 0.269 | ||
| KPS (IQR)‡ | |||||
| Preoperative | 70 (60–80) | 80 (60–85) | 0.515 | ||
| At discharge | 80 (62.5–90) | 0.080 | 70 (60–90) | 0.908 | 0.605 |
| Postoperative 3 months | 70 (50–90) | 0.922 | 80 (35–90) | 0.939 | 0.867 |
| Median PFS in months (95% CI)‡ | 10.9 (8.9 –12.9) | 7.0 (4.5–9.5) | |||
| Median OS in months (95% CI)‡ | 16.1 (12.0–20.2) | 11.6 (4.6–18.6) | |||
Boldface type indicates statistical significance
*Comparison between the multimodal group and the conventional group
#Comparison between the preoperative and the postoperative neurological function
‡Calculated by Mann–Whitney U test
§Cases that did not have function deterioration at 3 months postoperatively divided by preoperative-related cases of tumors influencing the motor, language, or cognition
¶Cases that had permanent neurological deficits divided by total cases
Fig. 3Kaplan–Meier survival curves of different groups. Multimodal group versus conventional group (A, B); bGBM versus non-butterfly ccGBM (C, D)
Fig. 4A case of using iMRI to increase the EOR for ccGBM. The patient was a 61-year-old woman who had a pathologic diagnosis of glioblastoma (WHO grade IV). The pre- (A), intra- (B), and postoperative (C) MRIs showed the residual tumor and further resection that increased the EOR from 96.88 to 100%. Volumetric measurements were automatically made by Brainlab. The arrow shows that the residual tumor was located in the contralateral corpus callosum
Comparison between the bGBM and non-butterfly ccGBM in the multimodal group
| Variables | bGBM | Non-butterfly ccGBM | |
|---|---|---|---|
| Age (years)† | 49.6 ± 15.2 | 49.2 ± 13.1 | 0.912 |
| Sex, | 0.058 | ||
| Male | 18 (66.7) | 12 (41.4) | |
| Female | 9 (33.3) | 17 (58.6) | |
| Median preop. KPS (IQR)‡ | 70 (60–80) | 70 (65–80) | 0.762 |
| Preop. total tumor vol (cm3)‡ | 58.81 ± 45.81 | 59.81 ± 35.22 | 0.749 |
| CC invasion vol (cm3)‡ | 6.43 ± 4.12 | 4.80 ± 2.90 | 0.144 |
| Median ratio of CC invasion/total vol, % (IQR)‡ | 11.5 (8.9–16.6) | 9.5 (4.8–13.6) | 0.093 |
| 5 (18.5) | 10 (34.5) | 0.178 | |
| 13 (48.1) | 10 (34.5) | 0.299 | |
| Radiotherapy, | 20 (74.1) | 21 (72.4) | 0.889 |
| Median TMZ cycles (range)‡ | 4 (0–21) | 6 (0–31) | 0.537 |
| Outcomes | |||
| Length of hospital stay (IQR)‡ | 21 (16–25) | 17 (13.5–25.5) | 0.221 |
| EOR, % (IQR)‡ | 100 (91.59–100) | 100 (96.48–100) | 0.434 |
| KPS at discharge‡ | 80 (60–90) | 80 (65–90) | 0.381 |
| KPS at 3 months‡ | 70 (40–90) | 80 (50–95) | 0.072 |
| Median PFS in months (95% CI)‡ | 10.9 (8.2–13.6) | 10.9 (8.2–13.6) | 0.639 |
| Median OS in months (95% CI)‡ | 15.9 (11.3–20.5) | 16.4 (10.5–22.3) | 0.252 |
†Calculated by independent samples t test
‡Calculated by Mann–Whitney U test
Prognostic factors of ccGBM by univariate analysis
| Multivariate analysis | Age | Multimodal approach | EOR | Radiotherapy | TMZ cycles | KPS on 3 months | IDH mutation | MGMT methylation |
|---|---|---|---|---|---|---|---|---|
| HR for PFS (95% CI) | 1.02 (1.01–1.04) | 0.53 (0.30–0.93) | 0.94 (0.91–0.98) | 0.27 (0.15–0.48) | 0.88 (0.83–0.95) | 0.99 (0.98–0.99) | 0.48 (0.27–0.87) | 0.59 (0.35–0.99) |
| 0.051 | 0.027 | 0.004 | < 0.001 | < 0.001 | < 0.001 | 0.015 | 0.048 | |
| HR for OS (95% CI) | 1.02 (1.00–1.05) | 0.55 (0.30–0.99) | 0.94 (0.90–0.98) | 0.24 (0.13–0.42) | 0.84 (0.77–0.91) | 0.98 (0.98–0.99) | 0.46 (0.24–0.88) | 0.57 (0.33–1.00) |
| 0.029 | 0.048 | 0.004 | < 0.001 | < 0.001 | < 0.001 | 0.018 | 0.048 |
Prognostic factors of ccGBM by multivariate analysis
| Multivariate analysis | Age | EOR | Radiotherapy | TMZ cycles | KPS on 3 months | IDH mutation | MGMT methylation |
|---|---|---|---|---|---|---|---|
| HR for PFS (95% CI) | 1.00 (0.98–1.03) | 0.94 (0.90–0.99) | 0.44 (0.23–0.83) | 0.93 (0.86–0.99) | 1.00 (0.99–1.01) | 0.73 (0.36–1.48) | 0.80 (0.45–1.43) |
| 0.745 | 0.402 | 0.381 | 0.451 | ||||
| HR for OS (95% CI) | 1.01 (0.98–1.03) | 0.94 (0.90–0.99) | 0.43 (0.23–0.83) | 0.87 (0.80–0.96) | 1.00 (0.98–1.01) | 0.94 (0.45–2.00) | 0.67 (0.36–1.23) |
| 0.689 | 0.302 | 0.865 | 0.193 |
Boldface type indicates statistical significance
EOR threshold identified by multivariate analysis in increments of 1% EOR
| Multivariate Analysis | EOR (92%) | EOR (91%) | EOR (90%) |
|---|---|---|---|
| HR for PFS (95% CI) | 0.51 (0.28–0.96) | 0.55 (0.28–1.07) | 0.61 (0.30–1.25) |
| 0.079 | 0.179 | ||
| HR for OS (95% CI) | 0.49 (0.26–0.91) | 0.47 (0.24–0.93) | 0.53 (0.25–1.11) |
| 0.091 |
Boldface type indicates statistical significance
Summary of studies on patients with ccGBM
| Study | Patients of surgery ( | Included patients | EOR, median (range) or mean ± SEM | 100% GTR (%) | 90–99% NTR (%) | EOR threshold | Median overall survival (months) | Overall complication rate |
|---|---|---|---|---|---|---|---|---|
| Franco et al., 2020 | 25 | ccGBM | > 95% ( | / | / | / | 8.6 | 32.0% |
| Forster et al., 2020 | 17 | ccGBM (WHO II = 1, WHO III = 3) | / | 15 (71.4) | 6 (28.6) | / | 12.6 | / |
| Dayani et al., 2018 | 14 | Only bGBM | 83.0% (44.2–100%) | / | / | 86% | 14.1 | 28.6% |
| Opoku-Darko et al., 2017 | 9 | Only bGBM | > 98% ( | / | / | 7.8 | 22.2% | |
| Burks et al., 2016 | 21 | bGBM (WHO II = 13, WHO = 6) | / | 33 (82.5%) | 3 (7.5%) | / | 15.0 | 22.5% |
| Chen et al., 2015 | 18 | ccGBM (WHO III = 4) | > 95% ( | / | / | 85% | 12.5 | / |
| Chaichana et al., 2014 | 29 | Only bGBM | 61.4 ± 4.9% | / | / | 65% | 7.0 | / |
| Dziurzynski et al., 2012 | 11 | Only bGBM | 100% (24.7–100%) | 6 (54.5) | 0 | / | 8.8 | / |
| Present study | 56 | ccGBM | 100% (79.3–100%) | 34 (60.7) | 16 (28.6) | 92% | 16.1 | 17.9% |
| bGBM ( | 100% (91.59–100%) | 15 (55.6) | 8 (29.6) | 15.9 | 22.2% |