Integrating Diffusion-weighted and Perfusion-weighted Imaging for Improved Grading and Characterization of Brain Tumors

Supriya S Thakur; Aruna Vinchurkar

doi:10.36948/ijfmr.2024.v06i05.29331

Integrating Diffusion-weighted and Perfusion-weighted Imaging for Improved Grading and Characterization of Brain Tumors

Author(s)	Supriya S Thakur, Aruna Vinchurkar
Country	India
Abstract	Objective: This study aims to evaluate the role of Diffusion-Weighted Imaging (DWI) and Perfusion-Weighted Imaging (PWI) in the detection, characterization, and grading of brain tumors, focusing on their correlation with histopathological findings. Materials and Methods: A total of 40 patients with intracranial mass lesions underwent DWI, PWI, and conventional MRI using a 1.5 Tesla MRI scanner. Apparent Diffusion Coefficient (ADC) values were calculated for tumor core, peritumoral edema, and normal brain tissue. Cerebral Blood Volume (CBV), Cerebral Blood Flow (CBF), and Mean Transit Time (MTT) were analyzed using PWI. Data were statistically analyzed, with a p-value ≤ 0.05 considered significant. Results: The study included 38 neoplastic lesions and 2 tuberculomas. DWI showed distinct ADC values for different tumors, with meningiomas having a mean ADC of 0.84 ± 0.3 × 10⁻³ mm²/s and schwannomas a higher ADC of 2.14 × 10⁻³ mm²/s. PWI revealed elevated relative CBV in high-grade gliomas (mean: 2.1 ± 0.76), while lower rCBV was observed in metastases (mean: 0.5 ± 0.26). Tuberculomas exhibited intermediate perfusion characteristics. Conclusion: DWI and PWI, in conjunction with conventional MRI, enhance the diagnostic accuracy for brain tumors by providing valuable information on tumor cellularity and vascularity. These techniques aid in distinguishing between tumor types, grades, and associated edema, thus improving clinical decision-making and treatment planning.
Keywords	Diffusion-Weighted Imaging (DWI), Perfusion-Weighted Imaging (PWI), Brain tumors, Apparent Diffusion Coefficient (ADC), Dynamic susceptibility contrast (DSC), Relative cerebral blood volume (rCBV), Cerebral blood flow (CBF), Tumor grading
Field	Medical / Pharmacy
Published In	Volume 6, Issue 5, September-October 2024
Published On	2024-10-25
Cite This	Integrating Diffusion-weighted and Perfusion-weighted Imaging for Improved Grading and Characterization of Brain Tumors - Supriya S Thakur, Aruna Vinchurkar - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.29331
DOI	https://doi.org/10.36948/ijfmr.2024.v06i05.29331
Short DOI	https://doi.org/g8pnk3

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Integrating Diffusion-weighted and Perfusion-weighted Imaging for Improved Grading and Characterization of Brain Tumors

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