Patterns In Brain Tumors Research Articles

Shape-Scale Co-Awareness Network for 3D Brain Tumor Segmentation.

The accurate segmentation of brain tumor is significant in clinical practice. Convolutional Neural Network (CNN)-based methods have made great progress in brain tumor segmentation due to powerful local modeling ability. However, brain tumors are frequently pattern-agnostic, i.e. variable in shape, size and location, which can not be effectively matched by traditional CNN-based methods with local and regular receptive fields. To address the above issues, we propose a shape-scale co-awareness network (S2CA-Net) for brain tumor segmentation, which can efficiently learn shape-aware and scale-aware features simultaneously to enhance pattern-agnostic representations. Primarily, three key components are proposed to accomplish the co-awareness of shape and scale. The Local-Global Scale Mixer (LGSM) decouples the extraction of local and global context by adopting the CNN-Former parallel structure, which contributes to obtaining finer hierarchical features. The Multi-level Context Aggregator (MCA) enriches the scale diversity of input patches by modeling global features across multiple receptive fields. The Multi-Scale Attentive Deformable Convolution (MS-ADC) learns the target deformation based on the multiscale inputs, which motivates the network to enforce feature constraints both in terms of scale and shape for optimal feature matching. Overall, LGSM and MCA focus on enhancing the scale-awareness of the network to cope with the size and location variations, while MS-ADC focuses on capturing deformation information for optimal shape matching. Finally, their effective integration prompts the network to perceive variations in shape and scale simultaneously, which can robustly tackle the variations in patterns of brain tumors. The experimental results on BraTS 2019, BraTS 2020, MSD BTS Task and BraTS2023-MEN show that S2CA-Net has superior overall performance in accuracy and efficiency compared to other state-of-the-art methods. Code: https://github.com/jiangyu945/S2CA-Net.

Theranostic Nanoparticle Uptake in Patient Brain Tumors as Quantified by MP2RAGE T1 Mapping

Modern radiation therapy techniques provide effective treatments for solid tumors, but there remain challenges with delivering high doses to elusive tumors without causing toxicity to surrounding normal tissue. Pre-clinical trials have demonstrated the theranostic properties of a recently developed gadolinium-based nanoparticle (Gd-NP). The first in-human clinical trial was conducted to assess the safety and dose tolerance of intravenous Gd-NPs in combination with whole brain radiotherapy and showed favorable results, including a significant correlation between tumor uptake and therapeutic response. The second, double-blinded, in-human clinical trial is underway in the US and aims to evaluate if brain-directed stereotactic radiation in conjunction with NPs will improve local tumor control compared to radiation alone. The current work investigates uptake patterns in brain tumors of 23 patients as quantified by magnetization prepared 2 rapid gradient echo (MP2RAGE) T1 mapping. A phantom containing eight vials of NP-saline solutions at varying concentrations was created to examine the relationship between NP concentration and longitudinal relaxation (T1, in seconds). This relationship is known as relaxivity and is dependent on the contrast agent, field strength and T1 mapping sequence. A 3T MAGNETOM Vida scanner and MP2RAGE sequence were used to image the phantom and MP2RAGE T1 maps were calculated using Bloch equations (QMRLab software). Relaxivity was determined and applied to 23 patient T1 maps (pre- and post- Gd-NP administration) to calculate uptake on an individual tumor basis. Theranostic NP uptake was calculated for every voxel in each of 129 brain metastases and examined for patterns in quantity and distribution. Average individual tumor uptake ranged from 0.02-0.12 mg/ml, where average overall uptake was equal to 0.05 mg/ml. A relationship between tumor diameter and mean NP concentration was observed and best represented by a power-based curve (R2 = 0.92). In contrast, patients with suspected placebo administration appeared to have no uptake and therefore no relationship with tumor diameter. The distribution of NP concentration within the tumor was also examined; on average, linear uptake profiles through tumor centroids (ant-post, left-right) demonstrated roughly gaussian patterns of uptake with lower concentrations at the tumor edges and higher concentrations at the tumor center. This pattern indicates robust tumor penetration and may have implications for amplifying radiation dose to hypoxic tumors. Gd-NP uptake in brain metastases can be quantified using MP2RAGE T1 mapping. Uptake was determined for each voxel in each tumor volume, where a gaussian pattern of spatial concentrations was observed. This analysis procedure will be applied to the full data set, when available, to evaluate the impact of NP uptake (in conjunction with radiation therapy) within individual patients and individual tumors.

EPIDEMIOLOGICAL PATTERNS OF PAEDIATRIC BRAIN TUMORS IN COIMBATORE

Background: Tumors of the nervous system are the second most common childhood tumors after leukemia,constituting approximately 35% of all childhood malignancies and remain the leading cause of cancer related deaths in children. In India,in the absence of a comprehensive population based national cancer registry,we depend on local hospital based registries for assessing the incidence of pediatric brain tumor.Hence,more and more institutional data are required to assess the actual disease load in India. Objective: The main objective of the present study is to assess the epidemiological patterns of brain tumors in children presenting in CMCH. Materials and Methods: Data regarding age,gender,topography and histopathology of 22 pediatric patients (0-18years)with brain tumors operated inCMCH over a period of 5 years(January 2015 to December 2019)was collected retrospectively and analysed. The results obtained were compared with available Indiandata and western literature. Results: Of 22 cases, males(63.6%) outnumbered females. In the present study, the most common anatomical site for brain tumors was cerebellum(45.5%) followed by cerebral hemispheres(36.2%), ventricles(13.6%) and sellar region(4.5%). The present study showed that Infratentorial tumors were more common (54.5%) as compared to Supratentorial tumors (45.5%).Thepresent study revealed that astrocytoma(36.4%) is the most common brain tumor in childhood. other common tumors include medulloblastoma(27.2%), followed by ependymoma(13.6%), oligodendroglioma(9%),pineal gland tumor(4.5%),craniopharyngioma(4.5%) and meningeal tumor(4.5%). Conclusion: From the present series, we conclude that, the frequencies of major histologic types of brain tumors found in the study do not differ substantially from that found in other developed and developing countries. Medulloblastomas and astrocytomas, which form the major histologic types in pediatric patients need special attention.

Computerized Tomographic Patterns of Intracranial Tumors in Northwest Nigeria

Background: Brain tumors are among the most challenging disorders encountered worldwide. Early and accurate diagnosis is essential for the management of these tumors. Different patterns of distribution of intracranial tumors have been described in various regions of the world, with previous reports in Africa suggesting that brain tumors were uncommon. This relative rarity has been attributed to low detection due to lack of neurosurgical and advanced neuroimaging facilities previously, a limitation that has now been gradually surmounted with the establishment of neurosurgical and more advanced radiological facilities on the continent. Objectives: The objective of this study is to describe the current pattern of intracranial tumors on computed tomography (CT) scan seen in Ahmadu Bello University Teaching Hospital (ABUTH) Zaria, Northwest Nigeria. Methods: This is a retrospective study of CT images of 60 patients of all age groups diagnosed with brain tumors between January 2015 and December 2019. The CT scans of the brain were performed using General Electric Hi-Speed NX/i dual-slice CT scanner (Germany). The age, sex, diagnosis using the WHO histological, and the pattern on CT were recorded, and data were analyzed using Statistical Package for the Social Sciences version 22.0, ARMONK, NY, USA 2013. Only cases with conclusive histology diagnosis were analyzed. This study was approved by the Health Research Ethics Committee of the ABUTH, Zaria (approval Number ABUTH/HREC/M36/2015), on January 23, 2015, before commencement. Results: In the 60 cases of brain tumors studied, patients' age range was 6 months–65 years, with a peak in the fourth and fifth decades of life (accounting for 38.3%). The mean age was 33.04 years ± 17.73 standard deviation. There was equal occurrence among males and females. About 96.7% of the tumors were primary and 3.7% secondary tumors; meningioma (MEN) (45%) was the most common tumor seen. About 45% of the cases were extra-axial, while 55% were intra-axial. Most (81.67%) of the tumors were located in the supratentorial region, while 18.33% were infratentorial. Headache (75%) and visual impairment (53.3%) were the most frequent clinical presentations. Conclusion: MEN was the most common tumor type seen in this study. This corroborates most studies in Nigeria and other African countries but contradicts some studies among Caucasians that showed glioma to be more common. This affirms that racial factors and environmental influence could have significant effects on the pattern of diseases. The results of this study will provide useful data on the pattern of brain tumors in this environment.

Distinct topographic-anatomical patterns in primary and secondary brain tumors and their therapeutic potential

PurposeUnderstanding the topographic-anatomical patterns of brain tumors has the potential to improve our pathophysiological understanding and may allow for anatomical tailoring of surgery and radiotherapy. This study analyzed topographic-anatomical patterns underlying neuroepithelial tumors, primary CNS lymphoma and metastases.MethodsAny histologically confirmed supra- or infratentorial parenchymal neoplasia of one institution over a 4-year period was included. Using high-resolution magnetic resonance imaging data, a detailed analysis of the topographic-anatomical tumor features was performed. Differences between neuroepithelial tumors, primary central nervous system lymphoma (PCNSL) and metastases were assessed using pairwise comparisons adjusted for multiple testing, upon significance of the omnibus test.ResultsBased on image analysis of 648 patients—419 (65%) neuroepithelial tumors, 28 (5%) PCNSL and 201 (31%) metastases—entity-specific topographic-anatomical patterns were identified. Neuroepithelial tumors showed a radial ventriculo-cortical orientation, inconsistent with the current belief of a growth along white matter tracts, whereas the pattern in PCNSL corresponded to a growth along such. Metastases preferentially affected the cortex and subcortical white matter of large arteries’ terminal supply areas. This study provides a comprehensive anatomical description of the topography of NT, PCNSL and metastases intended to serve as a topographic reference for clinicians and neuroscientists.ConclusionsThe identified distinct anatomical patterns provide evidence for a specific interaction between tumor and anatomical structures, following a pathoclitic concept. Understanding differences in their anatomical behavior has the potential to improve our pathophysiological understanding and to tailor therapy of brain tumors.

Is High Altitude an Emergent Occupational Hazard for Primary Malignant Brain Tumors in Young Adults? A Hypothesis

Abstract Introduction: Brain cancer accounts for approximately 1.4% of all cancers and 2.3% of all cancer-related deaths. Although relatively rare, the associated morbidity and mortality affecting young- and middle-aged individuals has a major bearing on the death-adjusted life years compared to other malignancies. Over the years, we have observed an increase in the incidence of primary malignant brain tumors (PMBTs) in young adults. This observational analysis is to study the prevalence and pattern of brain tumors in young population and find out any occupational correlation. Materials and Methods: The data were obtained from our tertiary care cancer institute's malignant diseases treatment center registry from January 2008 to January 2018. A total of 416 cases of PMBT were included in this study. Results: Our analysis suggested an overall male predominance with most PMBTs occurring at ages of 20–49 years. The glial tumors constituted 94.3% while other histology identified were gliosarcoma (1) gliomatosis cerebri (1), hemangiopericytoma (3), and pineal tumors (3). In our institute, PMBT constituted 1% of all cancers while 2/416 patients had secondary glioblastoma multiforme with 40% showing positivity for O-6-methylguanine-DNA-methyltransferase promoter methylation. Conclusions: Most patients belonged to a very young age group without any significant family history. A probable hypothesis could be excessive cosmic radiation exposure to persons staying at high altitude areas due to occupational exigencies for which in-depth case–control epidemiological studies are required to reach any conclusion.

LCN2-interacting proteins and their expression patterns in brain tumors

Lipocalin 2 (LCN2) is a member of the lipocalin family. Elevated expression of LCN2 has been observed in many human tumors, suggesting it might be a potential biomarker and/or therapeutic target in malignancies. In this study, we aimed to explore LCN2 interacting proteins through bioinformatics, as well as their biological functions. Protein-protein interaction networks (PPIN) were constructed using LCN2 and its interacting proteins as the core node. These PPINs were scale free biological networks in which LCN2 and its interacting proteins could connect or cross-talk with at least one partner protein. Both functional and KEGG pathway enrichment analyses identified the known and potential biological functions of the PPIN, such as cell migration and cancer-related pathways. Expression levels of the PPIN proteins, as well as their expression correlations, in five types of brain tumor, were analyzed and integrated into the PPIN to illustrate a dynamic change. A significant correlation was found between the survival time of glioblastoma patients and the expression level of 10 genes (LCN2, MMP9, MMP2, PDE4DIP, L2HGDH, HNRNPA1, DDX31, LOXL2, FAM60A and RNF25). Taken together, our results suggest that LCN2 and its interacting proteins are mostly differentially expressed and have a distinguishing co-expression pattern. They might promote proliferation and migration via cell migration signaling and cancer-related pathways. LCN2 and its interacting proteins might be potential biomarkers in glioblastoma.

Imagerie des tumeurs cérébrales de l’enfant

Brain tumors represent around a quarter of all solid tumors observed in the pediatric population. Infratentorial tumors are the most frequent, mostly encountered between 4 and 11 years of age. Early imaging is important because initial symptoms can be misinterpreted as statural and pubertal disorders or pseudoabdominal symptoms with apathy and vomiting in infants. Because signal abnormalities on MRI are most often not specific, it is essential to take into account the clinical and topographic characteristics of the lesion to establish an appropriate differential diagnosis. The main patterns of brain tumors observed in pediatrics are presented. Brain metastases are very unusual in children, in contrast to lepto-meningeal metastasis.

Simulating the impact of a molecular ‘decision-process’ on cellular phenotype and multicellular patterns in brain tumors

Experimental evidence indicates that human brain cancer cells proliferate or migrate, yet do not display both phenotypes at the same time. Here, we present a novel computational model simulating this cellular decision-process leading up to either phenotype based on a molecular interaction network of genes and proteins. The model's regulatory network consists of the epidermal growth factor receptor (EGFR), its ligand transforming growth factor- α ( TGF α ), the downstream enzyme phospholipaseC- γ ( PLC γ ) and a mitosis-associated response pathway. This network is activated by autocrine TGF α secretion, and the EGFR-dependent downstream signaling this step triggers, as well as modulated by an extrinsic nutritive glucose gradient. Employing a framework of mass action kinetics within a multiscale agent-based environment, we analyse both the emergent multicellular behavior of tumor growth and the single-cell molecular profiles that change over time and space. Our results show that one can indeed simulate the dichotomy between cell migration and proliferation based solely on an EGFR decision network. It turns out that these behavioral decisions on the single cell level impact the spatial dynamics of the entire cancerous system. Furthermore, the simulation results yield intriguing experimentally testable hypotheses also on the sub-cellular level such as spatial cytosolic polarization of PLC γ towards an extrinsic chemotactic gradient. Implications of these results for future works, both on the modeling and experimental side are discussed.

Localized In Vivo 1H Magnetic Resonance Spectroscopy and In Vitro Analyses of Heterogeneous Brain Tumors

Results of magnetic resonance spectroscopic (MRS) studies of the chemical patterns in brain tumors have been inconsistent. Actual biochemical correlations are needed. In 2 patients with heterogeneous intracranial tumors, in vivo 1H MRS and in vitro biochemical analyses were correlated. Histology confirmed the tumor heterogeneity. Choline was elevated in the cellular portion of both tumors but decreased in the necrotic or cystic portions. Creatine was diffusely decreased while lactate was elevated in all regions of both tumors. Furthermore, the increase in the choline peak on 1H MRS appeared to be due to increases in water-soluble choline compounds. This study illustrates the value of small localized voxels for differentiating regional chemical differences in tumors.

Brain tumors in pediatric patients at king faisal specialist hospital and research centre

We report our experience with brain tumors in pediatric patients, patients who came to our attention when they were aged 14 years or less. In general, the pattern of brain tumors at this Institution is similar to that reported in the neurosurgical literature. Fortunately we have modern diagnostic technology and modern operating instrumentation available to use for dealing with such lesions, which are often in their late stages.

DYNAMIC COMPUTED TOMOGRAPHY STUDY OF THE BRAIN

The dynamic computed tomography study of the brain consists of the rapid intravenous injection of 49 ml of radiographic contrast material in 7 sec followed by serial 5-sec CT scans with interscan times of only 1 sec. The data from these scans can be reprocessed to create 12 segmented images in 35 sec. When small samples of four or six pixels of cortex are examined by the cursor, sharp rises of 20 to 25 CT units (500 scale) are seen on the time-density curves. Samples of white matter are usually no more than two CT units. When larger cursor samples of 220 to 255 pixels including cortex and white matter are examined, the time-density curves represent a combination of these two patterns. Comparison between symmetrical areas in the two hemispheres generally shows parallel curves in controls. The studies provide high-resolution cerebral perfusion images. In ischemia secondary to ipsilateral carotid stenosis, there is depression of the up-slope and a depressed late peak. Infarctions show a flat perfusion curve. Several patterns in brain tumors have been illustrated. The study, simple to perform, adds significant perfusion information to the previously static CT examination of the brain.