2023
DOI: 10.1007/s00330-023-09661-6
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Computed high-b-value high-resolution DWI improves solid lesion detection in IPMN of the pancreas

Abstract: Objectives To examine the effect of high-b-value computed diffusion-weighted imaging (cDWI) on solid lesion detection and classification in pancreatic intraductal papillary mucinous neoplasm (IPMN), using endoscopic ultrasound (EUS) and histopathology as a standard of reference. Methods Eighty-two patients with known or suspected IPMN were retrospectively enrolled. Computed high-b-value images at b = 1000 s/mm2 were calculated from standard (b = 0, 50, 300… Show more

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Cited by 5 publications
(2 citation statements)
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References 28 publications
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“…Finally, DWI offers important information in the assessment of the onset of small pancreatic carcinoma by using short protocols [39]. DWI play a crucial role in the identification of worrisome feature in pancreatic cystic lesions and, according to some authors, high b-value DWI may help in the detection and classification of solid lesions in IPMN [31,32] (Figure 18), thus contributing to the differentiation between benign and malignant IPMNs [33]. On unenhanced MRI, DWI with MRCP could improve the diagnosis of malignant IPMN with a better prediction of invasive IPMN [34,35].…”
Section: Diffusion Weighted Imaging (Dwi)mentioning
confidence: 99%
“…Finally, DWI offers important information in the assessment of the onset of small pancreatic carcinoma by using short protocols [39]. DWI play a crucial role in the identification of worrisome feature in pancreatic cystic lesions and, according to some authors, high b-value DWI may help in the detection and classification of solid lesions in IPMN [31,32] (Figure 18), thus contributing to the differentiation between benign and malignant IPMNs [33]. On unenhanced MRI, DWI with MRCP could improve the diagnosis of malignant IPMN with a better prediction of invasive IPMN [34,35].…”
Section: Diffusion Weighted Imaging (Dwi)mentioning
confidence: 99%
“…However, advances in this field appear to be more in the form of new biomarkers like next generation sequencing for specific mutations, 8 serum proteome, 9 tumor microenvironment and microbiome, 10 and deep learning and artificial intelligence. 11 …”
mentioning
confidence: 99%