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Using of Laplacian Re-decomposition image fusion algorithm for glioma grading with SWI, ADC, and FLAIR images

100%

Khorasani A. , Tavakoli M. B. , Saboori M.

Polish Journal of Medical Physics and Engineering

2021

tom Vol. 27, Iss. 4

261--269

Introduction: Based on the tumor’s growth potential and aggressiveness, glioma is most often classified into low or high-grade groups. Traditionally, tissue sampling is used to determine the glioma grade. The aim of this study is to evaluate the efficiency of the Laplacian Re-decomposition (LRD) medical image fusion algorithm for glioma grading by advanced magnetic resonance imaging (MRI) images and introduce the best image combination for glioma grading. Material and methods: Sixty-one patients (17 low-grade and 44 high-grade) underwent Susceptibility-weighted image (SWI), apparent diffusion coefficient (ADC) map, and Fluid attenuated inversion recovery (FLAIR) MRI imaging. To fuse different MRI image, LRD medical image fusion algorithm was used. To evaluate the effectiveness of LRD in the classification of glioma grade, we compared the parameters of the receiver operating characteristic curve (ROC). Results: The average Relative Signal Contrast (RSC) of SWI and ADC maps in high-grade glioma are significantly lower than RSCs in low-grade glioma. No significant difference was detected between low and high-grade glioma on FLAIR images. In our study, the area under the curve (AUC) for low and high-grade glioma differentiation on SWI and ADC maps were calculated at 0.871 and 0.833, respectively. Conclusions: By fusing SWI and ADC map with LRD medical image fusion algorithm, we can increase AUC for low and high-grade glioma separation to 0.978. Our work has led us to conclude that, by fusing SWI and ADC map with LRD medical image fusion algorithm, we reach the highest diagnostic accuracy for low and high-grade glioma differentiation and we can use LRD medical fusion algorithm for glioma grading.

Diffusion-weighted MRI of kidney in the diagnosis of clear cell renal cell carcinoma of various grades of differentiation

72%

Mytsyk Y. , Dutka I. , Komnastka I. , Gorecki A. , Yuriy B. , Shatynska-Mytsyk I.

Journal of Pre-Clinical and Clinical Research

2015

tom 09

nr 1

Introduction. Renal cell carcinoma (RCC) is the most common malignant epithelial tumour of the kidney, accounting for 85–90% of all solid renal tumours in adults and comprising 1–3% of all malignant visceral neoplasms. Recently, computed tomography (CT) has been considered the ‘gold standard’ in the diagnostic imaging of RCC; however, the use of CT is always associated with radiation exposure and consequently carries a significant increase in the risk of malignancy for patients with neoplastic processes. In recent years, magnetic resonance imaging (MRI) is increasingly attracting the attention of clinicians as the method of choice for the diagnosis and staging of RCC, due to several advantages over CT. Materials and method. The study involved 62 adult patients with a pathologically verified clear cell subtype of the renal cell carcinoma (ccRCC) and 15 healthy volunteers. All patients underwent renal MRI which included diffusion-weighted imaging (DWI) with subsequent apparent diffusion coefficient (ADC) measurement. Results. A significant difference was observed in the mean ADC value of the normal renal parenchyma and ccRCC – 1.82 ± 0.16 × 10– 3 mm2/s vs 2.15 ± 0.12 × 10– 3 mm2/s, respectively (р < 0,05). Additionally, statistically reliable differences in ADC values in patients with high and low ccRCC grades were obtained: in patients with the I grade, the mean ADC value was 1.92 ± 0.12 × 10– 3 mm2/s, in patients with the II grade, this value was 1.84 ± 0.14 × 10– 3 mm2/s, in patients with the III grade, the mean ADC value was 1.79 ± 0.12 × 10– 3 mm2/s, and in patients with the IV grade of nuclear polymorphism the mean ADC value was 1.72 ± 0.11 × 10– 3 mm2/s (p <0.05). Conclusions. The data obtained in the survey show a significant restriction in the diffusion of hydrogen molecules in tissues of ccRCC, compared to the healthy renal parenchyma due to the tumour’s greater density. A statistically significant difference was observed in the mean ADC values of ccRCC tumours with different Fuhrman nuclear grades: tumours with a low grade of differentiation demonstrated higher mean ADC values compared to highly differentiated tumours. Application of DWI modality of MR imaging with ADC calculation allows to obtain valuable information that is vital for the diagnosis of ccRCC and differentiation of its degree of malignancy.

Techniki obrazowania rezonansu magnetycznego (MR)

58%

Cichocka M.

Inżynier i Fizyk Medyczny

2015

tom Vol. 4, nr 6

313--318

Obrazowanie rezonansu magnetycznego (MR) pozwala nie tylko na uwidocznienie struktur ciała człowieka. Dzięki rozwojowi metody możliwe jest także określenie funkcjonalności mózgu (badania funkcjonalne, fMRI), nieinwazyjna ocena składu chemicznego tkanek (spektroskopia, MRS), obrazowanie dyfuzji wody (dyfuzja, DWI oraz tensor dyfuzji, DTI), a także pomiar perfuzji krwi przez poszczególne tkanki (perfuzja, PWI). Techniki te znajdują coraz szersze zastosowanie w różnych dziedzinach medycyny.

Magnetic resonance imaging (MRI) allows not only to visualize the structures of the human body. Thanks to the development of this method, it is also possible to determine the functionality of the brain (functional imaging, fMRI), non-invasively evaluate the tissues chemical composition (spectroscopy, MRS) image water diffusion (diffusion-weighted imaging, DWI and diffusion tensor, DTI), as well as to measure blood perfusion in individual tissues (perfusion-weighted imaging, PWI). These techniques are increasingly used in various fields of medicine.