Effect of disease and recovery on functional anatomy in brain tumor patients: insights from functional MRI and diffusion tensor imaging

Utility of Preoperative Blood-Oxygen-Level-Dependent Functional MR Imaging in Patients with a Central Nervous System Neoplasm

Functional neuroimaging provides means to understand the relationship between brain structure and associated functions. Functional MR (fMR) imaging can offer a unique insight into preoperative planning for central nervous system (CNS) neoplasms by identifying areas of the brain effected or spared by the neoplasm. BOLD (blood-oxygen-level-dependent) fMR imaging can be reliably used to map eloquent cortex presurgically and is sufficiently accurate for neurosurgical planning. In patients with brain tumors undergoing neurosurgical intervention, fMR imaging can decrease postoperative morbidity. This article discusses the applications, significance, and interpretation of BOLD fMR imaging, and its applications in presurgical planning for CNS neoplasms.

Utility of Preoperative Blood-Oxygen-Level-Dependent Functional MR Imaging in Patients with a Central Nervous System Neoplasm

Functional neuroimaging provides means to understand the relationship between brain structure and associated functions. Functional MR (fMR) imaging can offer a unique insight into preoperative planning for central nervous system (CNS) neoplasms by identifying areas of the brain effected or spared by the neoplasm. BOLD (blood-oxygen-level-dependent) fMR imaging can be reliably used to map eloquent cortex presurgically and is sufficiently accurate for neurosurgical planning. In patients with brain tumors undergoing neurosurgical intervention, fMR imaging can decrease postoperative morbidity. This article discusses the applications, significance, and interpretation of BOLD fMR imaging, and its applications in presurgical planning for CNS neoplasms.

Spetzler-Martin grade IV and V arteriovenous malformations: Treatment outcomes and risk factors for negative outcomes after surgical resection

OBJECTIVE

Microsurgical resection may be recommended for high grade brain arteriovenous malformations (BAVMs) (HBAVMs) in individualized patients. Careful case selection is necessary to minimize postoperative complications. The aim of this study was to determine the surgical outcomes in patients with HBAVMs and to identify their risk factors associated with postoperative negative outcomes.

PATIENTS AND METHODS

We retrospectively studied 53 consecutive patients with HBAVMs. All patients had undergone preoperative diffusion tensor imaging (DTI), MRI, 3D time-of-flight MRA (3D TOF-MRA) and digital subtraction angiography (DSA) followed by resection. White matter (WM) eloquent fibre tracts, including the corticospinal tract (CST), optic radiation (OR) and arcuate fasciculus (AF), were tract. Both functional, angioarchitectural and operative factors were analyzed with respect to the surgical outcomes.

RESULTS

Nineteen (35.8%) patients suffered from negative surgical outcomes (MRS > 2) one week after surgery. At the last clinic visit, 10 patients (18.9%) suffered from negative surgical outcomes. Diffuse nidus (P = 0.018), Perforating arteries (PA) supplying (P = 0.009) and CST involving (P = 0.001) were independent risk factors for negative short-term outcomes. PA supplying (P = 0.039), CST involving (P = 0.026) and postoperative intracranial haemorrhage (ICH) (P = 0.014) were independent risk factors for negative long-term neurological outcomes. Larger nidus size (P = 0.024) was predictor of postoperative ICH. The cut-off point was 6.8 cm.

CONCLUSIONS

This study identified that diffuse nidus, PA supplying and CST involving are risk factors for negative short-term outcomes in patients with HBAVMs. PA supplying, CST involving and postoperative ICH are risk factors for negative long-term outcomes. Larger nidus size was risk factor for postoperative ICH.

A supplementary grading scale combining lesion-to-eloquence distance for predicting surgical outcomes of patients with brain arteriovenous malformations

OBJECTIVE Case selection for the surgical treatment of brain arteriovenous malformations (BAVMs) remains challenging. This study aimed to construct a predictive grading system combining lesion-to-eloquence distance (LED) for selecting patients with BAVMs for surgery. METHODS Between September 2012 and September 2015, the authors retrospectively studied 201 consecutive patients with BAVMs. All patients had undergone preoperative functional MRI and diffusion tensor imaging (DTI), followed by resection. Both angioarchitectural factors and LED were analyzed with respect to the change between preoperative and final postoperative modified Rankin Scale (mRS) scores. LED refers to the distance between the lesion and the nearest eloquent area (eloquent cortex or eloquent fiber tracts) measured on preoperative fMRI and DTI. Based on logistic regression analysis, the authors constructed 3 new grading systems. The HDVL grading system includes the independent predictors of mRS change (hemorrhagic presentation, diffuseness, deep venous drainage, and LED). Full Score combines the variables in the Spetzler-Martin (S-M) grading system (nidus size, eloquence of adjacent brain, and venous drainage) and the HDVL. For the third grading system, the fS-M grading system, the authors added information regarding eloquent fiber tracts to the S-M grading system. The area under the receiver operating characteristic (ROC) curves was compared with those of the S-M grading system and the supplementary S-M grading system of Lawton et al. RESULTS LED was significantly correlated with a change in mRS score (p < 0.001). An LED of 4.95 mm was the cutoff point for the worsened mRS score. Hemorrhagic presentation, diffuseness, deep venous drainage, and LED were independent predictors of a change in mRS score. Predictive accuracy was highest for the HDVL grading system (area under the ROC curve 0.82), followed by the Full Score grading system (0.80), the fS-M grading system (0.79), the supplementary S-M grading system (0.76), and least for the S-M grading system (0.71). Predictive accuracy of the HDVL grading system was significantly better than that of the Spetzler-Martin grade (p = 0.040). CONCLUSIONS LED was a significant predictor for the preoperative risk evaluation for surgery. The HDVL system was a good predictor of neurological outcomes after BAVM surgery. Adding the consideration of the involvement of eloquent fiber tracts to preoperative evaluation can effectively improve its predictive accuracy.

Effect of functional MRI-guided navigation on surgical outcomes: a prospective controlled trial in patients with arteriovenous malformations

OBJECTIVE The impact of functional MRI (fMRI)-guided navigation on the surgical outcome of patients with arteriovenous malformations (AVMs) is undetermined. This large, randomized controlled trial (RCT) was designed to determine the safety and efficacy of fMRI-guided microsurgery of AVMs. This paper reports the preliminary results of the interim analysis. METHODS Between September 2012 and June 2015, eligible patients were randomized to the standard microsurgery group (control group) or the fMRI-guided surgery group (experimental group) in a 1:1 ratio. Patients in the control group underwent conventional digital subtraction angiography and MRI before surgery. The surgery was performed according to the standard procedure. However, patients in the experimental group underwent blood oxygen level-dependent (BOLD) fMRI and diffusion tensor imaging within 1 week before surgery. Moreover, preoperative eloquent brain tissue mapping and intraoperative fMRI navigation were performed in addition to the standard procedure. The preliminary end points were the total removal rate of AVMs and postoperative surgical complications. The primary end points were modified Rankin Scale (mRS) score (favorable: mRS Score 0-2; poor: mRS Score 3-6) and surgery-related permanent functional deficits (S-PFD) at the last clinic visit (≥ 6 months). Statistical analysis was performed using the statistical package from SPSS. RESULTS The interim analysis included 184 participants (93 in the experimental group and 91 in the control group). Patients were equally distributed between the 2 groups. Neither the preliminary nor the primary end points, including postoperative complications (p = 0.781), residual AVM (p = 1.000), last mRS score (p = 0.654), and S-PFD (p = 0.944) showed any significant difference between the control and experimental group. According to the results of the univariate analysis, eloquent adjacent brain tissue (OR 0.14; 95% CI 0.06-0.32; p < 0.001), large size of the nidus (OR 1.05; 95% CI 1.02-1.08; p = 0.002), or diffuse nidus (OR 3.05; 95% CI 1.42-6.58; p = 0.004) were all significantly associated with S-PFD. Additionally, a high Spetzler-Martin score (OR 3.54; 95% CI 2.08-6.02; p < 0.001), no previous hemorrhage (OR 2.35; 95% CI 1.00-5.54; p = 0.05), or a low preoperative mRS score (OR 0.42; 95% CI 0.17-1.00; p = 0.049) were also significantly associated with S-PFD. Multivariate analysis revealed that independent factors correlated with S-PFD were eloquent adjacent brain tissue (OR 0.17; 95% CI 0.04-0.70; p = 0.014) and low preoperative mRS score (OR 0.22; 95% CI 0.07-0.69; p = 0.009). CONCLUSIONS This preplanned interim analysis revealed no significant differences in the primary end points between the experimental and control group, prompting an early termination of this RCT. The preliminary data indicated that the additional intervention of fMRI navigation is not associated with a more favorable surgical outcome in patients with AVMs. The results indicated that eloquent adjacent brain tissue and a low preoperative mRS score are independent risk factors for S-PFD. Clinical trial registration no.: NCT01758211 ( clinicaltrials.gov ).

Risk factors for worsened muscle strength after the surgical treatment of arteriovenous malformations of the eloquent motor area

OBJECT Case selection for the surgical treatment of arteriovenous malformations (AVMs) of the eloquent motor area remains challenging. The aim of this study was to determine the risk factors for worsened muscle strength after surgery in patients with this disorder. METHODS At their hospital the authors retrospectively studied 48 consecutive patients with AVMs involving motor cortex and/or the descending pathway. All patients had undergone preoperative functional MRI (fMRI) and diffusion tensor imaging (DTI), followed by resection. Both functional and angioarchitectural factors were analyzed with respect to the change in muscle strength. Functional factors included lesion-to-corticospinal tract distance (LCD) on DTI and lesion-to-activation area distance (LAD) and cortical reorganization on fMRI. Based on preoperative muscle strength, the changes in muscle strength at 1 week and 6 months after surgery were defined as short-term and long-term surgical outcomes, respectively. Statistical analysis was performed using the statistical package SPSS (version 20.0.0, IBM Corp.). RESULTS Twenty-one patients (43.8%) had worsened muscle strength 1 week after surgery. However, only 10 patients (20.8%) suffered from muscle strength worsening 6 months after surgery. The LCD was significantly correlated with short-term (p < 0.001) and long-term (p < 0.001) surgical outcomes. For long-term outcomes, patients in the 5 mm ≥ LCD > 0 mm (p = 0.009) and LCD > 5 mm (p < 0.001) categories were significantly associated with a lower risk of permanent motor worsening in comparison with patients in the LCD = 0 mm group. No significant difference was found between patients in the 5 mm ≥ LCD > 0 mm group and LCD > 5 mm group (p = 0.116). Nidus size was the other significant predictor of short-term (p = 0.021) and long-term (p = 0.016) outcomes. For long-term outcomes, the area under the ROC curve (AUC) was 0.728, and the cutoff point was 3.6 cm. Spetzler-Martin grade was not associated with short-term surgical outcomes (0.143), although it was correlated with long-term outcomes (0.038). CONCLUSIONS An AVM with a nidus in contact with tracked eloquent fibers (LCD = 0) and having a large size is more likely to be associated with worsened muscle strength after surgery in patients with eloquent motor area AVMs. Surgical treatment in these patients should be carefully considered. In patients with an LCD > 5 mm, radical resection may be considered to eliminate the risk of hemorrhage.

Surgical Treatment of Cavernous Malformations Involving the Posterior Limb of the Internal Capsule: Utility and Predictive Value of Preoperative Diffusion Tensor Imaging

OBJECTIVE

The surgical treatment of cavernous malformations involving the posterior limb of the internal capsule (PLIC-CMs) is challenging. The aim of this study was to determine the utility and predictive value of preoperative diffusion tensor imaging (DTI) in the surgical treatment of PLIC-CMs.

METHODS

Patients with PLIC-CMs who were surgically treated between September 2012 and June 2015 were reviewed. All patients underwent preoperative DTI. Three major fiber tracts were selected for evaluation: 1) corticospinal tract (CST); 2) arcuate fasciculus (AF); and 3) optic radiation (OR). The utility of preoperative DTI for surgical approach selection and intraoperative navigation was documented. An involvement grading system of the major fibers was applied to determine the predictive value of preoperative DTI. A last modified Rankin Scale (mRS) score of 0-2 was considered a good outcome, and a last mRS >2 was considered a poor outcome.

RESULTS

Thirteen patients with 13 PLIC-CMs were reviewed in this study. All the lesions were radically resected via the corridor formed by CST, AF, and OR. None of the patents suffered from mRS >3, and 7 patients (53.8%) got good outcomes at the last clinic visit. The difference between the preoperative mRS scores and last mRS scores was not significant (P = 0.673). The involvement grade of the fiber tracts was significantly associated with the surgical outcome (P = 0.011).

CONCLUSIONS

Preoperative DTI may be a promising tool to determine the surgical approach and predict the surgical outcomes in patients with PLIC-CMs.

Anatomical, functional and molecular biomarker applications of magnetic resonance neuroimaging

ABSTRACT 

MRI and magnetic resonance spectroscopy (MRS) along with computed tomography and PET are the most common imaging modalities used in the clinics to detect structural abnormalities and pathological conditions in the brain. MRI generates superb image resolution/contrast without radiation exposure that is associated with computed tomography and PET; MRS and spectroscopic imaging technologies allow us to measure changes in brain biochemistry. Increasingly, neurobiologists and MRI scientists are collaborating to solve neuroscience problems across sub-cellular through anatomical levels. To achieve successful cross-disciplinary collaborations, neurobiologists must have sufficient knowledge of magnetic resonance principles and applications in order to effectively communicate with their MRI colleagues. This review provides an overview of magnetic resonance techniques and how they can be used to gain insight into the active brain at the anatomical, functional and molecular levels with the goal of encouraging neurobiologists to include MRI/MRS as a research tool in their endeavors.