血源性兔VX2肿瘤脑及脑膜转移瘤动物模型的建立及MRI检测

目的：研究MRI对血源性脑及脑膜转移瘤动物模型转移灶的检出效果。方法：18只新西兰大白兔随机分为3组,分别从左颈总动脉内接种VX2瘤细胞,A组：20％甘露醇注入5min后接种VX2瘤细胞：B组：20％甘露醇注入5min后,加入肝素再接种VX2瘤细胞;C组,对照组,单纯注入等量生理盐水。术后2周后行MRI检查。病理取材HE染色光镜下观察。结果：平扫：A组,1只（1／6）发现脑内结节并脑膜结节样增厚,T1WI为等信号,T2WI为稍高信号。B组,2只（2／6）为脑内多发结节,T1WI为等信号,TM为稍高信号。2只（2／6）脑膜结节样增厚。增强扫描：A组,2只（2／6）脑内见强化结节灶;直径在1．5mm-7．0mm之间。4K（4／6）脑膜线样增厚或结节样增厚强化。B组,6只（6／6）脑内见直径在1．5mm-5．0mm的高信号结节,其中5只为脑内多发结节灶;4只（4／6）脑膜线样或结节样增厚强化,左侧为主,其中2只（2／6）为双侧脑膜增厚。增强扫描A、B组问脑内病灶差异有统计学意义（Fisher’s确切概率值为0．04）。C组平扫及增强扫描均未见异常信号。结论：上述方法制成的动物模型可为医学影像学研究提供可靠的动物模型,加入肝素可提高瘤灶的形成几率,并证实血脑屏障对脑转移瘤的形成起重要作用。MRI增强检查是检出脑内及脑膜转移瘤的首选方法。     

Radiologically Defined Ecological Dynamics and Clinical Outcomes in Glioblastoma Multiforme: Preliminary Results

MATERIALS AND METHODS: We examined pretreatment magnetic resonance imaging (MRI) examinations from 32 patients with glioblastoma multiforme (GBM) enrolled in The Cancer Genome Atlas (TCGA). Spatial variations in T1 post-gadolinium and either T2-weighted or fluid attenuated inversion recovery sequences from each tumor MRI study were used to characterize each small region of the tumor by its local contrast enhancement and edema/cellularity (“habitat”). The patient cohort was divided into group 1 (survival < 400 days, n = 16) and group 2 (survival > 400 days, n = 16). RESULTS: Histograms of relative values in each sequence demonstrated that the tumor regions were consistently divided into high and low blood contrast enhancement, each of which could be subdivided into regions of high, low, and intermediate cell density/interstitial edema. Group 1 tumors contained greater volumes of habitats with low contrast enhancement but intermediate and high cell density (not fully necrotic) than group 2. Both leave-one-out and 10-fold cross-validation schemes demonstrated that individual patients could be correctly assigned to the short or long survival group with 81.25% accuracy. CONCLUSION: We demonstrate that novel image analytic techniques can characterize regional habitat variations in GBMs using combinations of MRI sequences. A preliminary study of 32 patients from the TCGA database found that the distribution of MRI-defined habitats varied significantly among the different survival groups. Radiologically defined ecological tumor analysis may provide valuable prognostic and predictive biomarkers in GBM and other tumors.     

Micro-MRI at 11.7 T of a murine brain tumor model using delayed contrast enhancement

In vivo imaging methodologies allow for serial measurement of tumor size, circumventing the need for sacrificing mice at given time points. In orthotopically transplanted murine models of brain tumors, cross-section micro-MRI allows for visualization and measurement of the physically inaccessible tumors. To allow for long resident times of a contrast agent in the tumor, intraperitoneal administration was used as a route of injection for contrast-enhanced micro-MRI, and a simple method for relative tumor volume measurements was examined. A strategy for visualizing the variability of the delayed tumor enhancement was developed. These strategies were applied to monitor the growth of brain tumors xenotransplanted into nude mice and either treated with the antiangiogenic peptide EMD 121974 or an inactive control peptide. Each mouse was used as its own control. Serial imaging was done weekly, beginning at Day 7 after tumor cell implantation and continued for 7 weeks. Images obtained were reconstructed on the MRI instrument. The image files were transferred off line to be postprocessed to assess tumor growth (volume) and variability in enhancement (three-dimensional [3-D] intensity models). In a small study, tumor growth and response to treatment were followed using this methodology and the high-resolution images displayed in 3-D allowed for straightforward qualitative assessment of variable enhancement related to vascular factors and tumor age.     

Delayed Contrast Extravasation MRI for Depicting Tumor and Non-Tumoral Tissues in Primary and Metastatic Brain Tumors

The current standard of care for newly diagnosed glioblastoma multiforme (GBM) is resection followed by radiotherapy with concomitant and adjuvant temozolomide. Recent studies suggest that nearly half of the patients with early radiological deterioration post treatment do not suffer from tumor recurrence but from pseudoprogression. Similarly, a significant number of patients with brain metastases suffer from radiation necrosis following radiation treatments. Conventional MRI is currently unable to differentiate tumor progression from treatment-induced effects. The ability to clearly differentiate tumor from non-tumoral tissues is crucial for appropriate patient management. Ten patients with primary brain tumors and 10 patients with brain metastases were scanned by delayed contrast extravasation MRI prior to surgery. Enhancement subtraction maps calculated from high resolution MR images acquired up to 75 min after contrast administration were used for obtaining stereotactic biopsies. Histological assessment was then compared with the pre-surgical calculated maps. In addition, the application of our maps for prediction of progression was studied in a small cohort of 13 newly diagnosed GBM patients undergoing standard chemoradiation and followed up to 19.7 months post therapy. The maps showed two primary enhancement populations: the slow population where contrast clearance from the tissue was slower than contrast accumulation and the fast population where clearance was faster than accumulation. Comparison with histology confirmed the fast population to consist of morphologically active tumor and the slow population to consist of non-tumoral tissues. Our maps demonstrated significant correlation with perfusion-weighted MR data acquired simultaneously, although contradicting examples were shown. Preliminary results suggest that early changes in the fast volumes may serve as a predictor for time to progression. These preliminary results suggest that our high resolution MRI-based delayed enhancement subtraction maps may be applied for clear depiction of tumor and non-tumoral tissues in patients with primary brain tumors and patients with brain metastases.     

MRI study on reversible and irreversible electroporation induced blood brain barrier disruption

Electroporation, is known to induce cell membrane permeabilization in the reversible (RE) mode and cell death in the irreversible (IRE) mode. Using an experimental system designed to produce a continuum of IRE followed by RE around a single electrode we used MRI to study the effects of electroporation on the brain. Fifty-four rats were injected with Gd-DOTA and treated with a G25 electrode implanted 5.5 mm deep into the striata. MRI was acquired immediately after treatment, 10 min, 20 min, 30 min, and up to three weeks following the treatment using: T1W, T2W, Gradient echo (GE), serial SPGR (DCE-MRI) with flip angles ranging over 5-25°, and diffusion-weighted MRI (DWMRI). Blood brain barrier (BBB) disruption was depicted as clear enhancement on T1W images. The average signal intensity in the regions of T1-enhancement, representing BBB disruption, increased from 1887±83 (arbitrary units) immediately post treatment to 2246±94 20 min post treatment, then reached a plateau towards the 30 min scan where it reached 2289±87. DWMRI at 30 min showed no significant effects. Early treatment effects and late irreversible damage were clearly depicted on T2W. The enhancing volume on T2W has increased by an average of 2.27±0.27 in the first 24-48 hours post treatment, suggesting an inflammatory tissue response. The permanent tissue damage, depicted as an enhancing region on T2W, 3 weeks post treatment, decreased to an average of 50±10% of the T2W enhancing volumes on the day of the treatment which was 33±5% of the BBB disruption volume. Permanent tissue damage was significantly smaller than the volume of BBB disruption, suggesting, that BBB disruption is associated with RE while tissue damage with IRE. These results demonstrate the feasibility of applying reversible and irreversible electroporation for transient BBB disruption or permanent damage, respectively, and applying MRI for planning/monitoring disruption volume/shape by optimizing electrode positions and treatment parameters.     

Improving the Extent of Malignant Glioma Resection by Dual Intraoperative Visualization Approach

Despite continuing debates around cytoreductive surgery in malignant gliomas, there is broad consensus that increased extent of tumor reduction improves overall survival. However, maximization of the extent of tumor resection is hampered by difficulty in intraoperative discrimination between normal and pathological tissue. In this context, two established methods for tumor visualization, fluorescence guided surgery with 5-ALA and intraoperative MRI (iMRI) with integrated functional neuronavigation were investigated as a dual intraoperative visualization (DIV) approach. Thirty seven patients presumably suffering from malignant gliomas (WHO grade III or IV) according to radiological appearance were included. Twenty-one experimental sequences showing complete resection according to the 5-ALA technique were confirmed by iMRI. Fourteen sequences showing complete resection according to the 5-ALA technique could not be confirmed by iMRI, which detected residual tumor. Further analysis revealed that these sequences could be classified as functional grade II tumors (adjacent to eloquent brain areas). The combination of fluorescence guided resection and intraoperative evaluation by high field MRI significantly increased the extent of tumor resection in this subgroup of malignant gliomas located adjacent to eloquent areas from 61.7% to 100%; 5-ALA alone proved to be insufficient in attaining gross total resection without the danger of incurring postoperative neurological deterioration. Furthermore, in the case of functional grade III gliomas, iMRI in combination with functional neuronavigation was significantly superior to the 5-ALA resection technique. The extent of resection could be increased from 57.1% to 71.2% without incurring postoperative neurological deficits.     

Importance of 3D conformal percutan and brachytherapy treatment planning based on CT and MRI examinations in treatment of oral cavity tumors

AIM: The importance of 3D conformal percutan and brachytherapy treatment planning based on CT and MRI examinations in treatment of oral cavity tumors. Introducing of the planning procedure and the selection aspects. METHOD: We present the treatment planning based on CT and MRI slices of an oral cavity tumor. The percutan or interstitial boost follow the percutan irradiation of the involved regions and lymph nodes, regarding to the target volume and the critical organs. RESULT: Our ADAC 3D planning system gives us the possibility to add the first line and the boost treatment plans, to determine and compare the dose distribution within the planned target volume and the radiation load of the critical organs. CONCLUSION: The comparative 3D radiation planning system allows higher local dose escalation required for the effective radiation treatment of oral cavity tumors with maximal protection of the surrounding healthy tissues.     

Contrast-Enhanced FLAIR (Fluid-Attenuated Inversion Recovery) for Evaluating Mild Traumatic Brain Injury

Purpose

To evaluate whether adding a contrast-enhanced fluid-attenuated inversion recovery (FLAIR) sequence to routine magnetic resonance imaging (MRI) can detect additional abnormalities in the brains of symptomatic patients with mild traumatic brain injury.

Materials and Methods

Fifty-four patients with persistent symptoms following mild closed head injury were included in our retrospective study (M∶F = 32∶22, mean age: 59.8±16.4, age range: 26–84 years). All MRI examinations were obtained within 14 days after head trauma (mean: 3.2±4.1 days, range: 0.2–14 days). Two neuroradiologists recorded (1) the presence of traumatic brain lesions on MR images with and without contrast-enhanced FLAIR images and (2) the pattern and location of meningeal enhancement depicted on contrast-enhanced FLAIR images. The number of additional traumatic brain lesions diagnosed with contrast-enhanced FLAIR was recorded. Correlations between meningeal enhancement and clinical findings were also evaluated.

Results

Traumatic brain lesions were detected on routine image sequences in 25 patients. Three additional cases of brain abnormality were detected with the contrast-enhanced FLAIR images. Meningeal enhancement was identified on contrast-enhanced FLAIR images in 9 cases while the other routine image sequences showed no findings of traumatic brain injury. Overall, the additional contrast-enhanced FLAIR images revealed more extensive abnormalities than routine imaging in 37 cases (p<0.001). In multivariate logistic regression analysis, subdural hematoma and posttraumatic loss of consciousness showed a significant association with meningeal enhancement on contrast-enhanced FLAIR images, with odds ratios 13.068 (95% confidence interval 2.037 to 83.852), and 15.487 (95% confidence interval 2.545 to 94.228), respectively.

Conclusion

Meningeal enhancement on contrast-enhanced FLAIR images can help detect traumatic brain lesions as well as additional abnormalities not identified on routine unenhanced MRI. Therefore contrast-enhanced FLAIR MR imaging is recommended when a contrast MR study is indicated in a patient with a symptomatic prior closed mild head injury.     

Contrast Enhanced MRI Assessment of Tumor Blood Volume After Application of Electric Pulses

The effect of application of short, intense electric pulses on tumor blood volume was investigated using albumin-(Gd-DTPA)₃₀ contrast-enhanced magnetic resonance imaging (MRI). One of paired SA-1 fibrosarcoma tumors implanted in each flank of A/J mice was treated with electric pulses. MRI was performed dynamically before and after intravenous administration of albumin-(Gd-DTPA)₃₀ (0.02 mmol Gd/kg), and fractional tumor blood volume was estimated. MRI images of tumors exposed to electric pulses showed no enhancement at 30 min after injection of albu-min-(Gd-DTPA)₃₀. However, marked enhancement was observed in paired tumors of the same mice that were not exposed to electric pulses. A significant difference in blood volume was observed between nontreated tumors and tumors treated with electric pulses. Application of electric pulses to the tumors significantly reduced blood volume in the tumors. Therefore, through a reduction in tumor blood volume, electric pulses may, besides producing electroporation of cells, exert antitumor effectiveness by entrapping drugs within the tumors.     

Identifying the Association of Contrast Enhancement with Vascular Endothelia Growth Factor Expression in Anaplastic Gliomas: A Volumetric Magnetic Resonance Imaging Analysis

Contrast enhancement is a crucial radiologic feature of malignant brain tumors, which are associated with genetic changes of the tumor. The purpose of the current study was to investigate the potential relationship among tumor contrast enhancement with MR imaging, vascular endothelial growth factor (VEGF) expression, and survival outcome in anaplastic gliomas. MR images from 240 patients with histologically confirmed anaplastic gliomas were retrospectively analyzed. The volumes of T2 hyperintense, contrast enhanced regions and necrotic regions on postcontrast T1-weighted images were measured. The ratio of the enhanced volume to necrotic volume was compared between patients with high versus low levels of VEGF expression and was further used in the survival analysis. The volumetric ratio of enhancement to necrosis was significantly higher in patients with low VEGF expression than in those with high VEGF expression (Mann-Whitney, p = 0.009). In addition, the enhancement/necrosis ratio was identified as a significant predictor of progression-free survival (Cox regression model, p = 0.004) and overall survival (Cox regression model, p = 0.006) in the multivariate analysis. These results suggest that the volumetric ratio of enhancement to necrosis could serve as a noninvasive radiographic marker associated with VEGF expression and that this ratio is an independent predictor for progression-free survival and overall survival in patients with anaplastic gliomas.     

Signal Intensities in Preoperative MRI Do Not Reflect Proliferative Activity in Meningioma

BACKGROUND: Identification of high-grade meningiomas in preoperative magnetic resonance imaging (MRI) is important for optimized surgical strategy and best possible resection. Numerous studies investigated subjectively determined morphological features as predictors of tumor biology in meningiomas. The aim of this study was to identify the predictive value of more reliable, quantitatively measured signal intensities in MRI for differentiation of high- and low-grade meningiomas and identification of meningiomas with high proliferation rates, respectively. PATIENTS AND METHODS: Sixty-six patients (56 World Health Organization [WHO] grade I, 9 WHO grade II, and 1 WHO grade I) were included in the study. Preoperative MRI signal intensities (fluid-attenuated inversion recovery [FLAIR], T1 precontrast, and T1 postcontrast as genuine and normalized values) were correlated with Ki-67 expression in tissue sections of resected meningiomas. Differences between the groups (analysis of variance) and Spearman rho correlation were computed using SPSS 22. RESULTS: Mean values of genuine signal intensities of meningiomas in FLAIR, T1 native, and T1 postcontrast were 323.9 ± 59, 332.8 ± 67.9, and 768.5 ± 165.3. Mean values of normalized (to the contralateral white matter) signal intensities of meningiomas in FLAIR, T1 native, and T1 postcontrast were 1.5 ± 0.3, 0.8 ± 0.1, and 1.9 ± 0.4. There was no significant correlation between MRI signal intensities and WHO grade or Ki-67 expression. Signal intensities did not differ significantly between WHO grade I and II/III meningiomas. Ki-67 expression was significantly increased in high-grade meningiomas compared with low-grade meningiomas (P < 0.01). Objectively measured values of MRI signal intensities (FLAIR, T1 precontrast, and T1 postcontrast enhancement) did not distinguish between high-grade and low-grade meningiomas. Furthermore, there was no association between MRI signal intensities and Ki-67 expression representing proliferative activity.Meningiomas are among the most common brain tumors. Their incidence is about 1%, and they account for almost one third of all primary intracranial masses. The majority of meningiomas are very slowly growing and nonsymptomatic or minimally symptomatic entities, discovered as incidental findings on neuroimaging [1]. The World Health Organization (WHO) classification system distinguishes 3 histological grades and 15 subtypes and is a well-accepted tool for prediction of prognosis. Although most meningiomas are benign masses, certain histological subtypes reveal very high recurrence rates despite the tumors’ seemingly total removal. Grade II (atypical) and grade III (anaplastic) meningiomas are associated with an increased risk of recurrence, are more aggressive, and show invasive behavior [2]. Grade I meningiomas are generally considered as benign tumors, but recent studies indicate substantial neurological deficits and impaired long-term survival due to tumor recurrence and stroke despite their low histopathological grading in a considerable proportion of cases [3], [4]. Increased mitotic activity (more than 4 mitoses per 10 high-power fields) and elevated Ki-67 expression (Ki-67 index of more than 5% of nuclei) are reliable histopathological markers for tumor recurrence [2].Because histopathological grading alone does not predict outcome satisfyingly, numerous studies investigated the value of preoperative magnetic resonance imaging (MRI) for prognostics. For example, Liu et al. demonstrated that hyperintensity on diffusion-weighted imaging, heterogeneous gadolinium enhancement, disruption of the arachnoid at brain tumor interface, T2 hyperintense peritumoral edema, and irregular tumor shape were independent predictors of non–grade I meningioma [5]. Other works produced comparable results, although some of these studies underline the importance of positive capsular enhancement [6], [7], whereas others emphasize the predictive value of peritumoral edema [5], [8]. All the above-cited works investigated morphological features of meningiomas summarized in subjective scoring systems, but not one of the studies objectively analyzed values of SIs in commonly used preoperative MRI sequences.Therefore, the aim of this study was to investigate the predictive value of genuine and normalized SIs of standardized preoperative MRI (T1 pre- and postcontrast, T2, and fluid-attenuated inversion recovery [FLAIR]) as in vivo predictors of proliferative activity of meningiomas.     

Brain white and gray matter anatomy of MRI segmentation based on tissue evaluation

Different approaches to gray and white matter measurements in magnetic resonance imaging (MRI) have been studied. For clinical use, the estimated values must be reliable and accurate when, unfortunately, many techniques fail on these criteria in an unrestricted clinical environment. A recent method for tissue clusterization in MRI analysis has the advantage of great simplicity, and it takes the account of partial volume effects. In this study, we will evaluate the intensity of MR sequences known as T1-weighted images in an axial sliced section. Intensity group clustering algorithms are proposed to achieve further diagnosis for brain MRI, which has been hardly studied. Subjective study has been suggested to evaluate the clustering group intensity in order to obtain the best diagnosis as well as better detection for the suspected cases. This technique makes use of image tissue biases of intensity value pixels to provide 2 regions of interest as techniques. Moreover, the original mathematic solution could still be used with a specific set of modern sequences. There are many advantages to generalize the solution, which give far more scope for application and greater accuracy.     

Experimental manipulations of afferent immune responses influence efferent immune responses to brain tumors

Tumors grow more readily in the brain than in the periphery, in part due to immune privilege. Differences in both afferent and efferent components of the immune response contribute to this lower level of responsiveness. On the afferent side, despite the lack of lymphatic vessels in the brain, antigens from brain arrive in lymph nodes and spleen by several routes, and the route taken may influence the type of response generated. Work with viruses and soluble antigens in mice has shown that the intracerebral location and the volume of the inoculation influence the strength of the cytotoxic T cell response. We examined whether these factors influence the T cell response against experimental brain tumors in mice. Placement of tumor cells in the cerebral ventricles instead of the parenchyma generated an immune response sufficient to increase survival time. A large volume of an intraparenchymal infusion of tumor cells caused spread of cells to the ventricles, and resulted in longer survival time relative to a small volume infusion. Infusion of the same dose of radiolabeled tumor cells in either a small volume or a large volume allowed tracking of potential tumor antigens to the periphery. Both modes of infusion resulted in similar levels of radioactivity in blood, spleen and kidney. Unexpectedly, cells infused intraparenchymally in a small volume, compared to a large volume, resulted in (1) more radioactivity in cervical lymph nodes (parotid and deep cervical lymph nodes), (2) a greater number of CD11b+/Gr1+ myeloid suppressor cells in the tumors, and (3) fewer CD8+ cells within the tumor mass. Consistent with these observations, providing a stronger afferent stimulus by giving a concurrent subcutaneous injection of the same tumor cells infused into the brain increased CD8+ T cell infiltration of the tumor in the brain. These results suggest that the immune response elicited by antigens that drain predominantly to the cervical lymph nodes may be less effective than responses elicited at other lymph nodes, perhaps due to immunosuppressive cells. Directing therapies to the optimal peripheral sites may improve immune responses against brain tumors.     

PET for diagnosis and therapy of brain tumors

Main contribution of PET in the management of brain tumors is at the therapeutic level. Specific reasons explain this role of molecular imaging in the therapeutic management of brain tumors, especially gliomas. Gliomas are by nature infiltrating neoplasms and the interface between tumor and normal brain tissue may not be accurately defined on CT and MRI. Also, gliomas are often histologically heterogeneous with anaplastic areas evolving within a low-grade tumor, and the contrast-enhancement on CT or MRI does not represent a good marker for anaplastic tissue detection. Finally, assessment of tumor residue, recurrence or progression may be altered by different signals related to inflammation or adjuvant therapies, even on contrast-enhanced CT and MRI. These limitations of the conventional neuroimaging in delineating tumor and detecting anaplastic tissue lead to potential inaccuracy in lesion targeting at different steps of the management (diagnostic, surgical, and post-therapeutic stages). Molecular information provided by PET has proved helpful to supplement morphological imaging data in this context. ¹⁸F-FDG (FDG) and amino-acid tracers such as ¹¹C-methionine (MET), provides complementary metabolic data that are independent from the anatomical MR information. These tracers help in the definition of glioma extension, in the detection of anaplastic areas and in the postoperative follow-up. Additionally, PET data have an independent prognostic value. To take advantage of PET data in glioma treatment, PET might be integrated in the planning of image-guided biopsies, radiosurgery and resection.     

Meningeal lymphatics regulate radiotherapy efficacy through modulating anti-tumor immunity

As a first-line treatment, radiotherapy (RT) is known to modulate the immune microenvironment of glioma, but it is unknown whether the meningeal lymphatic vessel (MLV)-cervical lymph node (CLN) network regulates the process or influences RT efficacy. Here, we show that the MLV-CLN network contributes to RT efficacy in brain tumors and mediates the RT-modulated anti-tumor immunity that is enhanced by vascular endothelial growth factor C (VEGF-C). Meningeal lymphatic dysfunction impaired tumor-derived dendritic cell (DC) trafficking and CD8⁺ T cell activation after RT, whereas tumors overexpressing VEGF-C with meningeal lymphatic expansion were highly sensitive to RT. Mechanistically, VEGF-C-driven modulation of RT-triggered anti-tumor immunity was attributed to C-C Motif Chemokine Ligand 21 (CCL21)-dependent DC trafficking and CD8⁺ T cell activation. Notably, delivery of VEGF-C mRNA significantly enhanced RT efficacy and anti-tumor immunity in brain tumors. These findings suggest an essential role of the MLV-CLN network in RT-triggered anti-tumor immunity, and highlight the potential of VEGF-C mRNA for brain tumor therapy.Subject terms: Tumour immunology, Radiotherapy     

Noninvasive magnetic resonance imaging of the development of individual colon cancer tumors in rat liver

Monitoring tumor development is essential for the understanding of mechanisms involved in tumor progression and to determine efficacy of therapy. One of the evolving approaches is longitudinal noninvasive magnetic resonance imaging (MRI) of tumors in experimental models. We applied high-resolution MRI at 7 Tesla to study the development of colon cancer tumors in rat liver. MRI acquisition was triggered to the respiratory cycle to minimize motion artifacts. A special radio frequency (RF) coil was designed to acquire detailed T1-weighted and T2-weighted images of the liver. T2-weighted images identified hyperintense lesions representing tumors with a minimum diameter of 2 mm, enabling the determination of growth rates and morphological aspects of individual tumors. It is concluded that high-resolution MRI using a dedicated RF coil and triggering to the respiratory cycle is an excellent tool for quantitative and morphological analysis of individual diffusely distributed tumors throughout the liver. However, at present, MRI requires expensive equipment and expertise and is a time-consuming methodology. Therefore, it should preferably be used for dedicated applications rather than for high-throughput assessment of total tumor load in animals.     

Walsh Hadamard Transform for Simple Linear Iterative Clustering (SLIC) Superpixel Based Spectral Clustering of Multimodal MRI Brain Tumor Segmentation

The automated brain tumor segmentation methods are challenging due to the diverse nature of tumors. Recently, the graph based spectral clustering method is utilized for brain tumor segmentation to make high-quality segmentation output. In this paper, a new Walsh Hadamard Transform (WHT) texture for superpixel based spectral clustering is proposed for segmentation of a brain tumor from multimodal MRI images. First, the selected kernels of WHT are utilized for creating texture saliency maps and it becomes the input for the Simple Linear Iterative Clustering (SLIC) algorithm, to generate more precise texture based superpixels. Then the texture superpixels become nodes in the graph of spectral clustering for segmenting brain tumors of MRI images. Finally, the original members of superpixels are recovered to represent Complete Tumor (CT), Tumor Core (TC) and Enhancing Tumor (ET) tissues. The observational results are taken out on BRATS 2015 datasets and evaluated using the Dice Score (DS), Hausdorff Distance (HD) and Volumetric Difference (VD) metrics. The proposed method produces competitive results than other existing clustering methods.     

Acute Vascular Disruption by 5,6-Dimethylxanthenone-4-Acetic Acid in an Orthotopic Model of Human Head and Neck Cancer

The sustenance of most solid tumors including head and neck cancers (HNCs) is strongly dependent on the presence of a functioning vascular network. In this study, we examined the acute effects of a tumor vascular disrupting agent (VDA), 5,6-dimethylxanthenone-4-acetic acid (DMXAA; ASA404), in an orthotopic model of human HNC. Noninvasive magnetic resonance imaging (MRI) was used to monitor the vascular response of orthotopic FaDu xenografts to VDA therapy. Untreated tumors showed a marked but heterogeneous pattern of enhancement after contrast agent injection on serial T1-weighted (T1W) MR images. After VDA treatment, T2W and T1W MRI revealed evidence of hemorrhaging and lack of functioning vessels (enhancement) within the tumor. Quantitative estimates of relative vascular volume also showed a significant (P < .01) reduction in DMXAA-treated tumors 24 hours after therapy compared with untreated controls. Histology and immunostaining of untreated orthotopic FaDu tumors revealed poorly differentiated squamous cell carcinoma histology with distinctly visible CD31⁺ endothelial cells. In sharp contrast, minimal CD31 staining with irregular endothelial fragments and faint outlines of blood vessels were seen in DMXAA-treated tumor sections. CD31 immunostaining and histology also highlighted the selectivity of vascular damage and tissue necrosis after VDA therapy with no evidence of toxicity observed in normal salivary gland, heart, liver, and skeletal muscle tissues. Together, our results demonstrate a potent and selective vascular disruptive activity of DMXAA in an orthotopic HNC model. Further evaluation into its antitumor effects alone and in combination with other agents is warranted.     

Imaging of non- or very subtle contrast-enhancing malignant gliomas with [¹¹C]-methionine positron emission tomography

In patients with World Health Organization (WHO) grade III glioma with a lack of or minimal (< 1 cm3) magnetic resonance imaging (MRI) contrast enhancement, the volume of the metabolically active part of the tumor was assessed by [11C]-methionine positron emission tomography (MET-PET). Eleven patients with WHO grade III gliomas underwent MET-PET and MRI (contrast-enhanced T1- and T2-weighted images). To calculate the volumes in cubic centimeters, threshold-based volume of interest analyses of the metabolically active tumor (MET uptake index ≥ 1.3), contrast enhancement, and the T2 lesion were performed after coregistration of all images. In all patients, the metabolically active tumor volume was larger than the volume of gadolinium-diethylenetriamine pentaacetic acid (Gd-DTPA) enhancement (20.8 ± 18.8 vs 0.29 ± 0.25 cm3; p < .001). With the exception of one patient, the volumes of contrast enhancement were located within the metabolically active tumor volume. In contrast, in the majority of patients, MET uptake overlapped with the T2 lesion and reached beyond it (in 10 of 12 MRIs/MET-PET scans). The present data suggest that in patients with WHO grade III glioma with minimal or a lack of contrast enhancement, MET-PET delineates metabolically active tumor tissue. These findings support the use of combined PET-MRI with radiolabeled amino acids (eg, MET) for the delineating of the true extent of active tumor in the diagnosis and treatment planning of patients with gliomas.     

Understanding Heterogeneity and Permeability of Brain Metastases in Murine Models of HER2-Positive Breast Cancer Through Magnetic Resonance Imaging: Implications for Detection and Therapy

OBJECTIVES: Brain metastases due to breast cancer are increasing, and the prognosis is poor. Lack of effective therapy is attributed to heterogeneity of breast cancers and their resulting metastases, as well as impermeability of the blood–brain barrier (BBB), which hinders delivery of therapeutics to the brain. This work investigates three experimental models of HER2 + breast cancer brain metastasis to better understand the inherent heterogeneity of the disease. We use magnetic resonance imaging (MRI) to quantify brain metastatic growth and explore its relationship with BBB permeability. DESIGN: Brain metastases due to breast cancer cells (SUM190-BR3, JIMT-1-BR3, or MDA-MB-231-BR-HER2) were imaged at 3 T using balanced steady-state free precession and contrast-enhanced T1-weighted spin echo sequences. The histology and immunohistochemistry corresponding to MRI were also analyzed. RESULTS: There were differences in metastatic tumor appearance by MRI, histology, and immunohistochemistry (Ki67, CD31, CD105) across the three models. The mean volume of an MDA-MB-231-BR-HER2 tumor was significantly larger compared to other models (F_2,12 = 5.845, P < .05); interestingly, this model also had a significantly higher proportion of Gd-impermeable tumors (F_2,12 = 22.18, P < .0001). Ki67 staining indicated that Gd-impermeable tumors had significantly more proliferative nuclei compared to Gd-permeable tumors (t[24] = 2.389, P < .05) in the MDA-MB-231-BR-HER2 model. CD31 and CD105 staining suggested no difference in new vasculature patterns between permeable and impermeable tumors in any model. CONCLUSION: Significant heterogeneity is present in these models of brain metastases from HER2 + breast cancer. Understanding this heterogeneity, especially as it relates to BBB permeability, is important for improvement in brain metastasis detection and treatment delivery.