Brain Tumor Location Identification and Patient Observation from MRI Images

Automated detection of brain tumor location is essential for both medical and analytical uses. In this paper, we clustered brain MRI images to detect tumor location. To obtain perfect results, we presented an unsupervised robust PCA algorithm to clustered images. The proposed method clusters brain MR image pixels to four leverages. The algorithm is implemented for five brain diseases such as glioma, Huntington, meningioma, Pick, and Alzheimer’s. We used ten images of each disease to validate the optimal identification rate. According to the results obtained, 2% of the data in the bad leverage part of the image were determined, which acceptably discerned the tumor. Results show that this method has the potential to detect tumor location for brain disease with high sensitivity. Moreover, results show that the method for the Glioma images has approximately better results than others. However, according to the ROC curve for all selected diseases, the present method can find lesion location.

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NIMG-64. IMPACT OF TUMOR LOCATION ON IMAGE-DERIVED VOLUME, PROLIFERATION RATE AND GROWTH VELOCITY IN GLIOBLASTOMA PATIENTS

Neuro-Oncology ◽

10.1093/neuonc/noz175.733 ◽

2019 ◽

Vol 21 (Supplement_6) ◽

pp. vi175-vi176

Author(s):

Julia Lorence ◽

Kristin Swanson ◽

Cassandra Rickertsen ◽

Sara Ranjbar ◽

Sandra Johnston ◽

...

Keyword(s):

Brain Tumor ◽

Tumor Growth ◽

Frontal Lobe ◽

Left Hemisphere ◽

Growth Kinetics ◽

Parietal Lobe ◽

Prognostic Significance ◽

Tumor Location ◽

Tumor Proliferation ◽

Tumor Growth Kinetics

Abstract INTRODUCTION Glioblastoma (GBM) is the most common malignant primary brain tumor in adults with a median overall survival (OS) of 15months. Despite advancements in treatments, prognosis is dismal and the prognostic significance of tumor location is not entirely understood. METHODOLOGY: In our study, we investigated sex-specific volumetric, tumor growth kinetics, and outcome differences among GBMs in various brain locations. Primary GBM patients with pretreatment magnetic resonance imaging (MRI) data (N=289, 173 males, 116 females) were selected from our brain tumor repository. Tumor abnormality was segmented on T1-weighted post-gadolinium contrast agent (T1Gd) MRIs. We utilized the Harvard-Oxford brain atlases to determine the location of GBMs. RESULTS Overall, our study found smaller tumors in the left hemisphere. This may be expected as left-hemispheric GBM symptoms could present earlier, leading to earlier diagnosis and treatment. However, when the cohort was split by sex, we found this observation significant for females only in the parietal lobe (p < 0.0001). Further, female GBMs demonstrated smaller necrotic volume in the left hemisphere (p = 0.030). Sex-specific differences in incidence were noted in the temporal and occipital lobes (2M:1F). Comparing tumor growth kinetics in different brain locations and hemispheres, females had significantly lower tumor proliferation rates in the left hemisphere (p = 0.009) and lower tumor proliferation rates in the left frontal lobe (p = 0.031). Controlling for treatment, patients with frontal lobe tumors had significantly longer OS compared to those with GBMs in the temporal lobe (p = 0.046, 312 days). Differences in growth velocities were noted between frontal and parietal lobe with frontal GBMs having lower velocities in comparison to parietal lobe GBMs. CONCLUSION Together, our results demonstrate that tumor growth and proliferation rates may vary based on location and sex. Additional research is needed to further explore the clinical significance of tumor location.

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The correlation between brain tumor location and onset of neuroophthalmic symptoms in brain tumor patients in Adam Malik General Hospital Medan

Journal of the Neurological Sciences ◽

10.1016/j.jns.2021.118452 ◽

2021 ◽

Vol 429 ◽

pp. 118452

Author(s):

Citra Mega Kharisma ◽

Cut Aria Arina ◽

Kiki Mohammad Iqbal

Keyword(s):

Brain Tumor ◽

General Hospital ◽

Tumor Location ◽

Tumor Patients

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Prevalence and Risk Factors of Hypothalamic-Pituitary Dysfunction in Infant and Toddler Childhood Brain Tumor Survivors

Acta Endocrinologica ◽

10.1530/eje-21-0137 ◽

2021 ◽

Author(s):

C A Lebbink ◽

T.p Ringers ◽

A.y.n. Schouten-van Meeteren ◽

L van Iersel ◽

S.c Clement ◽

...

Keyword(s):

Risk Factors ◽

Brain Tumor ◽

Age Groups ◽

Tumor Location ◽

Childhood Brain Tumor ◽

Older Children ◽

Treatment Protocols ◽

Pituitary Dysfunction ◽

Frequent Use

Objective Childhood brain tumor survivors (CBTS) are at risk to develop hypothalamic-pituitary (HP) dysfunction (HPD). The risk for HPD may vary between different age groups due to maturation of the brain and differences in oncologic treatment protocols. Specific studies on HPD in infant brain tumor survivors (infant-BTS, 0-1 years at diagnosis) or toddler brain tumor survivors (toddler-BTS, ≥1-3 years) have not been performed. Patients and Methods A retrospective nationwide cohort study in CBTS was performed. Prevalence and risk factors for HPD were compared between infant-, toddler- and older-BTS. Subgroup analysis was performed for all non-irradiated CBTS (n=460). Results In total 718 CBTS were included, with a median follow-up time of 7.9 years. Overall, despite less frequent use of radiotherapy (RT) in infants, no differences in prevalence of HPD were found between the three groups. RT (OR 16.44; 95%CI 8.93 to 30.27), suprasellar tumor location (OR 44.76; 95%CI 19.00 to 105.49) and younger age (OR 1.11; 95%CI 1.05 to 1.18) were associated with HP dysfunction. Infant-BTS and toddler-BTS showed more weight gain (p<0.0001) and smaller height SDS (p=0.001) during follow-up. In non-irradiated CBTS, infant-BTS and toddler-BTS were significantly more frequently diagnosed with TSH-, ACTH- and ADH deficiency, compared to older-BTS. Conclusion Infant and toddler brain tumor survivors seem to be more vulnerable to develop HP dysfunction than older children. These results emphasize the importance of special infant- and toddler brain tumor treatment protocols and the need for endocrine surveillance in children treated for a brain tumor at young age.

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An Automatic and Efficient Technique for Tumor Location Identification and Classification through Breast MR Images

Expert Systems with Applications ◽

10.1016/j.eswa.2021.115580 ◽

2021 ◽

pp. 115580

Author(s):

Poonam Jaglan ◽

Rajeshwar Dass ◽

Manoj Duhan

Keyword(s):

Tumor Location ◽

Efficient Technique ◽

Mr Images ◽

Breast Mr ◽

Location Identification

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Effects of supratentorial and infratentorial tumor location on cognitive functioning of children with brain tumor

Child s Nervous System ◽

10.1007/s00381-019-04434-3 ◽

2019 ◽

Vol 36 (3) ◽

pp. 513-524

Author(s):

Claudia Corti ◽

Cosimo Urgesi ◽

Maura Massimino ◽

Lorenza Gandola ◽

Alessandra Bardoni ◽

...

Keyword(s):

Brain Tumor ◽

Cognitive Functioning ◽

Tumor Location

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The economic impact of glioma survivorship

Neurology ◽

10.1212/wnl.0000000000010263 ◽

2020 ◽

Vol 95 (11) ◽

pp. e1575-e1581

Author(s):

Sameah A. Haider ◽

Karam Asmaro ◽

Steven N. Kalkanis ◽

Ian Y. Lee ◽

Michael Bazydlo ◽

...

Keyword(s):

Brain Tumor ◽

Household Income ◽

Medical Expenditure Panel Survey ◽

Financial Burden ◽

Tumor Location ◽

Medical Expenditure ◽

Fisher Exact Test ◽

Low Grade ◽

Annual Household Income ◽

Initial Surgery

ObjectiveWe aimed to characterize the socioeconomic impact of glioma for patients with clinical and radiographic evidence of disease stability, using the standardized Medical Expenditure Panel Survey–Household Component (MEPS-HC).MethodsThe MEPS-HC questionnaire was used to investigate the degree of economic hardship referable to the patient's brain tumor and treatment. The questionnaire included demographic variables such as age at diagnosis, ethnicity, highest level of education, and annual household income. Descriptive statistics were used to characterize variables and between-group comparisons were evaluated using Fisher exact test.ResultsOf 127 prescreened patients, 89 of 107 eligible patients completed the survey. Pathology at diagnosis was predominantly low grade (60%). Most patients were insured at time of diagnosis (91%), married (76%), and employed (79%), with annual household incomes slightly higher than the national average. Despite this, nearly a quarter incurred debt referable to brain tumor care (24%), 53% required extended unpaid time off, and 46% retired or were no longer working. Financial burden and workforce morbidity were insensitive to tumor location, laterality, and annual household income. Patients with gross total resection at initial surgery were less likely to report ongoing limitations in daily activities (45% vs 83%, p = 0.004).ConclusionsEven in a population of stable, high-functioning glioma survivors, financial burden and workforce morbidity was ubiquitous across all tumor subtypes, treatment paradigms, and income levels.

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