| Literature DB >> 26635136 |
Roland Roelz1,2, Peter Reinacher2, Ramazan Jabbarli1,3, Rainer Kraeutle4, Beate Hippchen1, Karl Egger5, Astrid Weyerbrock1, Marcia Machein1.
Abstract
Leptomeningeal metastasis (LM) of high grade gliomas (HGG) can lead to devastating disease courses. Understanding of risk factors for LM is important to identify patients at risk. We reviewed patient records and magnetic resonance imaging (MRI) of all patients with a first diagnosis of HGG who underwent surgery in our institution between 2008 and 2012. To assess the influence of potential risk factors for LM and the impact of LM on survival multivariate statistics were performed. 239 patients with a diagnosis of HGG and at least 6 months of MRI and clinical follow-up were included. LM occurred in 27 (11%) patients and was symptomatic in 17 (65%). A strong correlation of surgical entry to the ventricle and LM was found (HR: 8.1). Ventricular entry was documented in 137 patients (57%) and LM ensued in 25 (18%) of these. Only two (2%) of 102 patients without ventricular entry developed LM. Median overall survival of patients after diagnosis of LM (239 days) was significantly shorter compared to patients without LM (626 days). LM is a frequent complication in the course of disease of HGG and is associated with poor survival. Surgical entry to the ventricle is a key risk factor for LM.Entities:
Mesh:
Year: 2015 PMID: 26635136 PMCID: PMC4669436 DOI: 10.1038/srep17758
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Summary of clinical features of patients. Two multivariable statistical models were applied to assess the influence of these features on either LM (Failure Event: LM, Table 1) or overall survival (Failure Event: Death, Table 2).
| Failure Event: Leptomeningeal Metastasis | Leptomeningeal Metastasis | Univariate Statistics (log rank) | Multivariate Statistics (Cox regression) | |
|---|---|---|---|---|
| Yes | No | |||
| Patient characteristics | ||||
| Number of patients | 27 (11%) | 212 (89%) | ||
| Sex | 0.321 | 0.461 | ||
| Male | 18 (67%) | 119 (56%) | ||
| Female | 9 (33%) | 93 (44%) | ||
| Age at diagnosis (y), median | 56 (22–80) | 58 (8–87) | 0.301 | 0.431 |
| Follow-up (d), median | 498 | 585 | 0.193 | |
| Status | ||||
| Dead | 26 (96%) | 145 (68%) | 0.011 | |
| Alive | 1 (4%) | 58 (27%) | ||
| Unknown | 0 | 9 (4%) | ||
| Tumor Characteristics | ||||
| WHO-Grade | 0.602 | 0.427 | ||
| III | 5 (19%) | 49 (23%) | ||
| AA | 0 | 21 (10%) | ||
| AOD | 1 (4%) | 12 (6%) | ||
| AOA | 4 (15%) | 15 (7%) | ||
| IV | 22 (81%) | 163 (77%) | ||
| Glioblastoma | 22 (81%) | 157 (74%) | ||
| Gliosarcoma | 0 | 6 (3%) | ||
| Tumor size (mm), median | 54 | 42 | 0.917 | |
| Location of tumor | ||||
| Frontal | 7 (26%) | 71 (33%) | Reference for Location | |
| Temporal | 13 (48%) | 77 (36%) | 0.314 | 0.854 |
| Parietal | 2 (7%) | 34 (16%) | 0.550 | 0.609 |
| Other | 5 (19%) | 30 (14%) | 0.397 | 0.815 |
| Distance of tumor to ventricle | 0.631 | |||
| contiguous (0 mm) | 19 (70%) | 88 (42%) | ||
| non-contiguous (>0 mm) | 8 (30%) | 124 (58%) | ||
| Surgical Characteristics | ||||
| Number of tumor resections | 0.663 | 0.352 | ||
| 0 (Biopsy) | 2 (7%) | 31 (15%) | ||
| 1 | 14 (52%) | 93 (44%) | ||
| 2 | 6 (22%) | 64 (30%) | ||
| >2 | 5 (19%) | 24 (11%) | ||
| Extent of resection (1st surgery) | ||||
| GTR (>90%) | 19 (70%) | 145 (68%) | Reference for Extent of Resection | |
| STR (50–90%) | 6 (22%) | 36 (17%) | 0.686 | 0.956 |
| PR (<50%) | 0 | 0 | ||
| Biopsy | 2 (7%) | 31 (15%) | 0.380 | 0.335 |
| Ventricular entry | 25 (100%) | 112 (62%) | ||
| 1st surgery | 22 (88%) | 85 (76%) | ||
| 2nd surgery | 3 (12%) | 25 (22%) | ||
| >2nd surgery | 0 | 2 (2%) | ||
| Adjuvant Therapy | ||||
| None | 0 | 5 (2%) | 1.000 | |
| Radiotherapy | 27 (100%) | 190 (90%) | 0.147 | |
| 2nd Radiotherapy at recurrence | 9 (33%) | 47 (20%) | 0.266 | |
| Temozolomide | 20 (74%) | 149 (70%) | 0.708 | |
| PC/PCV | 5 (19%) | 26 (12%) | 0.432 | |
| Bevacizumab | 5 (19%) | 34 (16%) | 0.782 | |
*PC/PCV: Procarbacin and CCNU/Procarbazin, CCNU and Vincristin.
§Biopsy cases not included.
Figure 1Contingency table showing the correlation between contiguity of tumor to the ventricle and ventricular entry during surgery.
72% of patients with a tumor contiguous to the ventricle had surgical ventricular entry. In contrast, only 39% of patients with a non-contiguous tumor had surgical ventricular entry.
Figure 2(A) Kaplan-Meier survival estimates (Event: LM) for the influence of ventricular entry on LM. Ventricular entry confers a high risk for LM (HR: 8.1). (B) Kaplan-Meier survival estimates of patients with LM (analyzed as time-dependent variable) compared to patients without LM. Occurrence of LM confers significantly shorter overall survival. (C) Kaplan-Meier survival estimates of the study population for surgical ventricular entry. Beyond 700 days of follow-up, ventricular entry has a negative effect on overall survival.
Figure 3Clinical Presentation, MRI Features and Therapy of 27 Patients with LM.
Figure 4MRI examples of LM in the study population (a–c and e–h: T1w +Gd, d: T2-FLAIRw MRI).
Two general morphological types of LM – nodular (a+b, e+f) or diffuse (c+d, g+h) – were observed. Both types occurred as enhancing (lower row) or non-enhancing (upper row) lesions. White arrows indicate sites of LM.
The only relevant risk factor for LM was surgical entry to the ventricle.
Older age at diagnosis, higher WHO-Grade, LM, lower extent of resection and ventricular entry (beyond 700 days of follow-up) were significant predictors of inferior overall survival.
N/A: Not applicable.
*PC/PCV: Procarbacin and CCNU/Procarbazin, CCNU and Vincristin.
§Biopsy cases not included.