Intravoxel incoherent motion diffusion-weighted MR imaging of solid pancreatic masses: reliability and usefulness for characterization

Robertis, Riccardo De; Cardobi, Nicolò; Ortolani, Silvia; Martini, Paolo Tinazzi; Stemmer, Alto; Grimm, Robert; Gobbo, Stefano; Butturini, Giovanni; D’Onofrio, Mirko

doi:10.1007/s00261-018-1684-z

Cited by 33 publications

(26 citation statements)

References 32 publications

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“…Perfusion-related IVIM-derived parameters seem especially auspicious for differentiation between normal pancreatic parenchyma and solid pancreatic lesions with high sensitivity and specificity [29].…”

Section: Pancreasmentioning

confidence: 99%

Intravoxel incoherent motion magnetic resonance imaging: basic principles and clinical applications

et al. 2020

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The purpose of this article was to show basic principles, acquisition, advantages, disadvantages, and clinical applications of intravoxel incoherent motion (IVIM) magnetic resonance imaging (MRI). IVIM MRI as a method was introduced in the late 1980s, but recently it started attracting more interest thanks to its applications in many fields, particularly in oncology and neuroradiology. This imaging technique has been developed with the objective of obtaining not only a functional analysis of different organs but also different types of lesions. Among many accessible tools in diagnostic imaging, IVIM MRI aroused the interest of many researchers in terms of studying its applicability in the evaluation of abdominal organs and diseases. The major conclusion of this article is that IVIM MRI seems to be a very auspicious method to investigate the human body, and that nowadays the most promising clinical application for IVIM perfusion MRI is oncology. However, due to lack of standardisation of image acquisition and analysis, further studies are needed to validate this method in clinical practice.

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Section: Pancreasmentioning

confidence: 99%

Intravoxel incoherent motion magnetic resonance imaging: basic principles and clinical applications

et al. 2020

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“…Multiparametric MRI-based radiomics analysis is non-invasive and efficient, providing a quantitative measure of intralesional heterogeneity that may help in distinguishing benign and malignant lesions, assessing tumor aggressiveness, and evaluating treatment response [19] . Multiparametric MRI has already been used for the differentiation of PC from MFCP in some studies [ 15 , 28 , 29 ], but those applying the mp-MRI radiomics signature remain scarce. In the present study, we first developed and validated a comprehensive model that combined MRI-based radiomics signature with clinically independent risk factors to enhance the diagnostic accuracy in differentiating PC and MFCP lesions.…”

Section: Discussionmentioning

confidence: 99%

Development and validation of a novel model incorporating MRI-based radiomics signature with clinical biomarkers for distinguishing pancreatic carcinoma from mass-forming chronic pancreatitis

Liu

Zhou

et al. 2022

Translational Oncology

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Highlights A novel model incorporating multiparametric MRI-based radiomic signature with clinically independent risk factors can greatly improve the non-invasive diagnostic accuracy in differentiating PC from MFCP. The nomogram integrating rad-score and clinically independent risk factors had a better diagnostic performance than the mp-MRI and clinical models. The mixed model may aid in formulating treatment strategies and help to avoid unnecessary surgical operations for doctors.

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“…The mean ADC value of PDAC was significantly lower than that of MFCP (1.17 ± 0.23 < vs. 1.47 ± 0.18, p < 0.01, obtained at 3.0 T MRI). Recently intravoxel incoherent motion (IVIM) DWI has been shown to be able to differentiate between PDAC and AIP and between PDAC and CP [ 29 – 31 ]. The slow component of diffusion D slow and the perfusion fraction f were significantly higher in CP than in PDAC [ 30 ].…”

Section: Mass-forming Chronic Pancreatitis: Imaging Featuresmentioning

confidence: 99%

Mass-forming pancreatitis versus pancreatic ductal adenocarcinoma: CT and MR imaging for differentiation

et al. 2020

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Various inflammatory abnormalities of the pancreas can mimic pancreatic ductal adenocarcinoma (PDAC) at cross-sectional imaging. Misdiagnosis of PDAC at imaging may lead to unnecessary surgery. On the other hand, chronic pancreatitis (CP) bears a greater risk of developing PDAC during the course of the disease. Thus, differentiation between mass-forming chronic pancreatitis (MFCP) and PDAC is important to avoid unnecessary surgery and not to delay surgery of synchronous PDAC in CP. Imaging features such as the morphology of the mass including displacement of calcifications, presence of duct penetrating, sign appearance of duct stricturing, presence or absence of vessel encasement, apparent diffusion coefficient (ADC) value and intravoxel incoherent motion (IVIM) at diffusion-weighted imaging (DWI), fluorodeoxyglucose (FDG) uptake in PET/CT, and mass perfusion parameters can help to differentiate between PDAC and MFCP. Correct interpretation of imaging features can appropriately guide biopsy and surgery, if necessary. This review summarizes the relevant computed tomography (CT) and magnetic resonance imaging (MRI) features that can help the radiologist to come to a confident diagnosis and to guide further management in equivocal cases.

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Intravoxel incoherent motion diffusion-weighted MR imaging of solid pancreatic masses: reliability and usefulness for characterization

Abstract: IVIM-derived parameters have excellent reliability and could help in differentiation among solid pancreatic lesions and NP.

Cited by 33 publications

References 32 publications

Intravoxel incoherent motion magnetic resonance imaging: basic principles and clinical applications

Intravoxel incoherent motion magnetic resonance imaging: basic principles and clinical applications

Development and validation of a novel model incorporating MRI-based radiomics signature with clinical biomarkers for distinguishing pancreatic carcinoma from mass-forming chronic pancreatitis

Mass-forming pancreatitis versus pancreatic ductal adenocarcinoma: CT and MR imaging for differentiation

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