Temat: Brain tumor - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Mathematical modeling of fluid flow in brain tumor
Autorzy:: Riahi, D. N.
Roy, R.
Powiązania:: https://bibliotekanauki.pl/articles/280794.pdf
Data publikacji:: 2014
Wydawca:: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:: tumor
brain tumor
spherical tumor
drug concentration
fluid flow
Opis:: We consider the problem of fluid flow in a brain tumor. We develop a mathematical model for the one-dimensional fluid flow in a spherical tumor where the spatial variations of the interstitial velocity, interstitial pressure and the drug concentration within the tumor are only with respect to the radial distance from the center of the tumor. The interstitial ve- locity in the radial direction and the interstitial pressure are determined analytically, while the radial variations of two investigated drug concentrations were determined numerically. We calculated these quantities in the tumor, in a corresponding normal tissue and for the concentrations also in the cavity that can exist after the tumor is removed. We determine, in particular, the way the interstitial pressure and velocity vary, which agrees with the expe- riments, as well as the way one drug concentration changes in the presence or absence of a second drug concentration within the tumor. We find that the amount of drug delivery in the tumor can be enhanced in the presence of another drug in the tumor, while the ratio of the amount of one drug in the tumor to its amount in the normal tissue can be reduced in the presence of the second drug in the tumor and the tissue.
Źródło:: Journal of Theoretical and Applied Mechanics; 2014, 52, 1; 271-279
1429-2955
Pojawia się w:: Journal of Theoretical and Applied Mechanics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: An overview of the preclinical and clinical studies of the effects of tumor treating fields on malignant glioma cells
Autorzy:: Bądziul, Dorota
Banaś-Ząbczyk, Agnieszka
Tabarkiewicz, Jacek
Powiązania:: https://bibliotekanauki.pl/articles/454690.pdf
Data publikacji:: 2017
Wydawca:: Uniwersytet Rzeszowski. Wydawnictwo Uniwersytetu Rzeszowskiego
Tematy:: anaplastic astrocytoma
glioblastoma multiforme
brain tumor
tumor treating fields
tumor therapy
Opis:: Anaplastic astrocytoma (AA, WHO grade III) and glioblastoma multiforme (GBM, WHO grade IV) are malignant tumors of the brain. The average survival time of patients with GMB is approximately one year and two years in the case of anaplastic astrocytoma with standard therapy based on surgical tumor resection followed by chemotherapy or radiotherapy. High invasiveness of gliomas, the ability of rapid division and so-called diffusive infiltration of tumor cells into normal brain tissue, which prevents complete surgical removal, are hallmarks of theses tumors. Therefore, new specific therapies for eliminating cancer cells are needed to treat this tumors. Recently, it has been demonstrated that alternating electric field, also known as tumor treating fields (TTFields) has a unique mechanism of destroying glioma cells. TTFields applies electromagnetic energy frequency-dependent and intensitydependent and disrupts cancer cell replication as they undergo mitosis. Futhermore, TTFields turn out to act comparably to conventional chemotherapeutics, lacking numerous side adverse associated with chemotherapy. The authors provide an up-todate review of the mechanism of action as well as preclinical and clinical data on TTFields.
Źródło:: European Journal of Clinical and Experimental Medicine; 2017, 2; 141-144
2544-2406
2544-1361
Pojawia się w:: European Journal of Clinical and Experimental Medicine
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Automatic detection of brain tumors using genetic algorithms with multiple stages in magnetic resonance images
Autorzy:: Annam, Karthik
Kumar, Sunil G.
Babu, Ashok P.
Domala, Narsaiah
Powiązania:: https://bibliotekanauki.pl/articles/27314266.pdf
Data publikacji:: 2022
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: MRI brain tumor
GLCM
SURF
genetic optimization
advanced machine learning
Opis:: The field of biomedicine is still working on a solution to the challenge of diagnosing brain tumors, which is now one of the most significant challenges facing the profession. The possibility of an early diagnosis of brain cancer depends on the development of new technologies or instruments. Automated processes can be made possible thanks to the classification of different types of brain tumors by utilizing patented brain images. In addition, the proposed novel approach may be used to differentiate between different types of brain disorders and tumors, such as those that affect the brain. The input image must first undergo pre-processing before the tumor and other brain regions can be separated. Following this step, the images are separated into their respective colors and levels, and then the Gray Level Co-Occurrence and SURF extraction methods are used to determine which aspects of the photographs contain the most significant information. Through the use of genetic optimization, the recovered features are reduced in size. The cut-down features are utilized in conjunction with an advanced learning approach for the purposes of training and evaluating the tumor categorization. Alongside the conventional approach, the accuracy, inaccuracy, sensitivity, and specificity of the methodology under consideration are all assessed. The approach offers an accuracy rate greater than 90%, with an error rate of less than 2% for every kind of cancer. Last but not least, the specificity and sensitivity of each kind are higher than 90% and 50%, respectively. The usage of a genetic algorithm to support the approach is more efficient than using the other ways since the method that the genetic algorithm utilizes has greater accuracy as well as higher specificity.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 4; 36--43
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Palliative care of the patient with the brain cancer Astrocytoma GII/GIII – a case study
Opieka paliatywna nad pacjentem z guzem mózgu typu astrocytoma GII/GIII - opis przypadku
Autorzy:: Gawlik, Marta
Kurpas, Donata
Powiązania:: https://bibliotekanauki.pl/articles/526671.pdf
Data publikacji:: 2013
Wydawca:: Uniwersytet Opolski. Instytut Nauk o Zdrowiu
Tematy:: Brain tumor
astrocytoma GII/GIII
palliative care
guz mózgu
opieka paliatywna
Opis:: Introduction: Malignant cancers of the central nervous system with the consequences of strong symptoms and urgent progression of the disease put the palliative teams of the palliative wards in the feeling of helplessness. Difficulties in undertaking the treatment and lack of experience with such patients cause their higher mortality rate. The main aim of the case: The aim of the study is to present the clinical treatment and the palliative care of the patient with Astrocytoma GII/GIII (ICD 10 C -71). Data and Methods: Analyses of the medical documentation, observation and nursing interview with the patient’s family were taken into account. Case study: A 39 year old woman, who had never been cured for cancer before, was transferred from the neurosurgery to the palliative care ward with brain cancer astrocytoma GII/GIII without any contact and lack of improvement of her condition. After a symptomatic treatment, a combined therapy was applied which consisted of oral chemotherapy (Lomustine) and radiotherapy. The patient’s condition was systematically improving. The patient and her family received care and support from the therapeutic team, which made it possible for the patient to return back home after eight months on the ward. It made the patient function alone and lead active social life despite of the limitations caused by cancer. Conclusions: It is not advisable to make quick decisions of ceasing the treatment only because of the diagnosis of inoperable brain malignant cancers. The therapeutic team play a significant role in the process of restoring the vital functions of the patient and in the entire therapy. Especially the family, who are the active members of the team, become very important. Education and the family support is essential and helps to tackle such a difficult chronic disease with bad prognosis. It also helps to understand specific symptoms and behaviours of the patients with brain cancer much better. Furthermore, it helps to lower the level of the family’s anxiety and frustration. Active cooperation of the family and the therapeutic team allows the patient to get back home AFVSS.
Wstęp: Złośliwe nowotwory centralnego układu nerwowego w konsekwencji ostrych objawów i nagłej progresji choroby stawiają w poczuciu bezradności zespoły terapeutyczne oddziałów medycyny paliatywnej. Trudności w podjęciu leczenia oraz braku doświadczenia w opiece nad pacjentami z tego typu nowotworami, są powodem podwyższonego wskaźnika umieralności pacjentów. Cel badania: Przedstawienie leczenia klinicznego oraz opieki nad pacjentką z rozpoznaniem astrocytoma GII/GIII (ICD 10 C-71). Materiał i Metody: Analizy dokumentacji medycznej, obserwacja i wywiad pielęgniarski z rodziną pacjentki. Opis przypadku: 39-letnia kobieta nigdy wcześniej nieleczona onkologicznie została przekazana z oddziału neurochirurgii do oddziału medycyny paliatywnej z rozpoznaniem guza mózgu astrocytoma GII/GIII bez kontaktu i brakiem rokowań na poprawę stanu. Po podjęciu leczenia objawowego, zastosowaniu terapię skojarzoną: chemioterapią doustną (Lemustyna) oraz radioterapię. Stan pacjentki ulegał systematycznej poprawie. Opieka i wsparcie zespołu terapeutycznego udzielone chorej oraz jej rodzinie pozwoliły nie tylko na powrót pacjentki do domu po ośmiu miesiącach pobytu na oddziale, ale również na jej samodzielne funkcjonowanie i aktywny udział w życiu społecznym pomimo ograniczeń, jakie niesie choroba nowotworowa. Wnioski: Pomimo nieoperacyjnych nowotworów złośliwych mózgu nie należy zbyt szybko podejmować decyzji o zaprzestaniu leczenia pacjenta. W procesie terapii i powrotu najważniejszych funkcji życiowych pacjenta dużą rolę odgrywa zespół terapeutyczny, szczególnie rodzina, która staje się aktywnym członkiem tego zespołu. Edukacja i system wsparcia dla rodziny pozwalają na zmierzenie się z trudną sytuacją choroby przewlekłej o złym rokowaniu, oraz zrozumienie specyficznych objawów i zachowań pacjenta towarzyszących tego typu nowotworom. Pozwala to na zmniejszenie poziomu lęku i frustracji członków rodziny. Aktywna współpraca rodziny z personelem medycznym umożliwia powrót pacjenta do domu w stanie stabilnym.
Źródło:: Puls Uczelni; 2013, 4; 39-42
2080-2021
Pojawia się w:: Puls Uczelni
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Application of region growing method to brain tumor segmentation - preliminary results
Autorzy:: Piekar, E.
Szwarc, P.
Sobotnicki, A.
Momot, M.
Powiązania:: https://bibliotekanauki.pl/articles/333522.pdf
Data publikacji:: 2013
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: segmentation
region growing
T1 images
brain tumor
segmentacja
obrazy T1
guz mózgu
Opis:: In this article image have been subject to segmentation using Matlab software, i.e. T1 in normal conditions, perfusion images and images after administering a contrast agent. The tumor in images made in normal conditions was difficult to identify. The images obtained after administering the contrast agent confirmed that the homogeneity criterion has been appropriately selected. In perfusion images the pixels of the background were added to the tumor. When the parameters were changed i.e. pixel counter or neighborhood type the method became more efficient; the tumor boundaries were outlined more precisely. The region growing method enables precise tumor detection; however, the selection of an appropriate homogeneity criterion is a prerequisite for correct segmentation.
Źródło:: Journal of Medical Informatics & Technologies; 2013, 22; 153-160
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Comparative Analysis and Fusion of MRI and PET Images based on Wavelets for Clinical Diagnosis
Autorzy:: Sebastian, Jinu
King, Gnana
Powiązania:: https://bibliotekanauki.pl/articles/2200731.pdf
Data publikacji:: 2022
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: MRI
PET
multimodality medical image fusion
wavelet transform
brain tumor
Alzheimer’s disease
YUV color space
Opis:: Nowadays, Medical imaging modalities like Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), Single Photon Emission Tomography (SPECT), and Computed Tomography (CT) play a crucial role in clinical diagnosis and treatment planning. The images obtained from each of these modalities contain complementary information of the organ imaged. Image fusion algorithms are employed to bring all of this disparate information together into a single image, allowing doctors to diagnose disorders quickly. This paper proposes a novel technique for the fusion of MRI and PET images based on YUV color space and wavelet transform. Quality assessment based on entropy showed that the method can achieve promising results for medical image fusion. The paper has done a comparative analysis of the fusion of MRI and PET images using different wavelet families at various decomposition levels for the detection of brain tumors as well as Alzheimer’s disease. The quality assessment and visual analysis showed that the Dmey wavelet at decomposition level 3 is optimum for the fusion of MRI and PET images. This paper also compared the results of several fusion rules such as average, maximum, and minimum, finding that the maximum fusion rule outperformed the other two.
Źródło:: International Journal of Electronics and Telecommunications; 2022, 68, 4; 867--873
2300-1933
Pojawia się w:: International Journal of Electronics and Telecommunications
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Brain tumor classification in MRI imagesusing genetic algorithm appended CNN
Autorzy:: Balamurugan, Thiyagu
Gnanamanoharan, E.
Powiązania:: https://bibliotekanauki.pl/articles/38703164.pdf
Data publikacji:: 2023
Wydawca:: Instytut Podstawowych Problemów Techniki PAN
Tematy:: deep learning
convolutional neural networks
EfficientNetB3
genetic algorithm
brain tumor classification
głęboka nauka
splotowe sieci neuronowe
algorytm genetyczny
klasyfikacja nowotworów mózgu
Opis:: Brain tumors are fatal for majority of the patients, the different nature of the tumorcells requires the use of combined medical measures, and categorizing such tumors isa difficult task for radiologists. The diagnostic structures based on PCs have been offeredas an aid in diagnosing a brain tumor using magnetic resonance imaging (MRI). Generalfunctions are retrieved from the lowest layers of the neural network, and these lowestlayers are responsible for capturing low-level features and patterns in the raw input data,which can be particularly unique to the raw image. To validate this, the EfficientNetB3pre-trained model is utilized to classify three types of brain tumors: glioma, meningioma,and pituitary tumor. Initially, the characteristics of several EfficientNet modules are takenfrom the pre-trained EfficientNetB3 version to locate the brain tumor. Three types of braintumor datasets are used to assess each approach. Compared to the existing deep learningmodels, the concatenated functions of EfficientNetB3 and genetic algorithms give betteraccuracy. Tensor flow 2 and Nesterov-accelerated adaptive moment estimation (Nadam)are also employed to improve the model training process by making it quicker and better.The proposed technique using CNN attains an accuracy of 99.56%, a sensitivity of 98.9%,a specificity of 98.6%, an F-score of 98.9%, a precision of 98.9%, and a recall of 99.54%.
Źródło:: Computer Assisted Methods in Engineering and Science; 2023, 30, 3; 305-321
2299-3649
Pojawia się w:: Computer Assisted Methods in Engineering and Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: A benign entity – cerebral multinodular and vacuolating neuronal tumor
Autorzy:: Kış, Naciye
Erok, Berrin
Kılıç, Harun
Önder, Hakan
Powiązania:: https://bibliotekanauki.pl/articles/2053962.pdf
Data publikacji:: 2022-03-30
Wydawca:: Uniwersytet Rzeszowski. Wydawnictwo Uniwersytetu Rzeszowskiego
Tematy:: do not touch brain tumors
magnetic resonance imaging
multinodular and vacuolating neuronal tumor
Opis:: Introduction and aim. Multinodular and vacuolating neuronal tumor (MVNT) of the cerebrum is a rare benign, mixed glial/ neuronal lesion which has been included in the recent (2016) World Health Organization (WHO) Classification of the central nervous system tumors.Most of the reported cases are remarkable with adult onset seizure in the literature.They can also be found incidentally in nonepilepsy patients with or without headache We aimed to present this unique entity with its typical magnetic resonance imaging (MRI) features. Description of the case. A 21-year old man presented with complaint of headache that increased in frequency within the last few months.No relevant seizure or any other signs of note.He was diagnosed with MVNT by imaging andstarted to be followed-up.The repeat MRI 6 months later showed no interval changes. Conclusion. Clinicians should be aware of that it is a do not touch lesion in asymptomatic patients with no need for biopsy or surgery and follow up imaging is sufficient when presented with the typical MRI manifestations. Surgical resection may be required for seizure control and was reported in few cases with no tumoral regrowth in the literature.
Źródło:: European Journal of Clinical and Experimental Medicine; 2022, 1; 126-128
2544-2406
2544-1361
Pojawia się w:: European Journal of Clinical and Experimental Medicine
Dostawca treści:: Biblioteka Nauki

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