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@article{173129,
author = {Mr Kabir Ahmad Sheikh and Mr Ishfaq Nissar and Ms Nahida Bilal},
title = {Diffusion-Weighted Imaging in Pancreatic Tumors},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {11},
number = {9},
pages = {2284-2287},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=173129},
abstract = {By evaluating tissue microstructure and cellularity, the potent magnetic resonance imaging (MRI) method known as diffusion-weighted imaging (DWI) offers important insights into the characterisation of pancreatic cancers. This non-invasive imaging technique helps distinguish between benign and malignant pancreatic lesions by measuring the diffusion of water molecules in tissues. In addition to evaluating tumor aggressiveness and response to treatment, DWI has shown great promise in the detection of neuroendocrine tumors (PNETs), cystic neoplasms, and pancreatic ductal adenocarcinoma (PDAC). One important quantitative indicator for assessing tumor pathology is the apparent diffusion coefficient (ADC), which is obtained from DWI. Additionally, DWI aids treatment planning, improves preoperative staging, and increases early tumor identification. Notwithstanding its benefits, issues like motion artifacts and imaging technique uniformity still exist. Diffusion-weighted imaging (DWI) is an advanced magnetic resonance imaging (MRI) technique that has gained significant attention in the evaluation of pancreatic tumors. By quantifying the random motion of water molecules within tissues, DWI provides unique insights into the microstructural characteristics of pancreatic lesions, offering both qualitative and quantitative information. This non-invasive imaging modality has demonstrated utility in distinguishing between benign and malignant pancreatic tumors, assessing tumor aggressiveness, and monitoring treatment response. The apparent diffusion coefficient (ADC), derived from DWI, serves as a key quantitative biomarker, with lower ADC values typically associated with higher cellularity and malignancy. DWI has shown particular promise in differentiating pancreatic ductal adenocarcinoma (PDAC) from other pancreatic lesions, such as neuroendocrine tumors and cystic neoplasms, as well as in detecting small tumors that may be missed on conventional imaging. Furthermore, DWI has potential applications in predicting prognosis and guiding therapeutic decisions. Despite its advantages, challenges such as technical variability, limited spatial resolution, and susceptibility to artifacts remain. Ongoing advancements in DWI techniques, including highresolution and multi-parametric approaches, are expected to enhance its diagnostic accuracy and clinical utility. This review highlights the role of DWI in the characterization of pancreatic tumors, its clinical applications, and future directions for research and implementation in routine practice.},
keywords = {Apparent Diffusion Coefficient (ADC), Pancreatic Ductal Adenocarcinoma (PDAC), Magnetic Resonance Imaging (MRI},
month = {February},
}
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