Ontology type: schema:ScholarlyArticle
2017-04
AUTHORSEmad Lotfalizadeh, Maxime Ronot, Mathilde Wagner, Jérôme Cros, Anne Couvelard, Marie-Pierre Vullierme, Wassim Allaham, Olivia Hentic, Philippe Ruzniewski, Valérie Vilgrain
ABSTRACTOBJECTIVES: To evaluate the value of MR imaging including diffusion-weighted imaging (DWI) for the grading of pancreatic neuroendocrine tumours (pNET). MATERIAL AND METHODS: Between 2006 and 2014, all resected pNETs with preoperative MR imaging including DWI were included. Tumour grading was based on the 2010 WHO classification. MR imaging features included size, T1-w, and T2-w signal intensity, enhancement pattern, apparent (ADC) and true diffusion (D) coefficients. RESULTS: One hundred and eight pNETs (mean 40 ± 33 mm) were evaluated in 94 patients (48 women, 51 %, mean age 52 ± 12). Fifty-five (51 %), 42 (39 %), and 11 (10 %) tumours were given the following grades (G): G1, G2, and G3. Mean ADC and D values were significantly lower as grade increased (ADC: 2.13 ± 0.70, 1.78 ± 0.72, and 0.86 ± 0.22 10-3 mm2/s, and D: 1.92 ± 0.70, 1.75 ± 0.74, and 0.82 ± 0.19 10-3 mm2/s G1, G2, and G3, all p < 0.001). A higher grade was associated with larger sized tumours (p < 0.001). The AUROC of ADC and D to differentiate G3 and G1-2 were 0.96 ± 0.02 and 0.95 ± 0.02. Optimal cut-off values for the identification of G3 were 1.19 10-3 mm2/s for ADC (sensitivity 100 %, specificity 92 %) and 1.04 10-3 mm2/s for D (sensitivity 82 %, specificity 92 %). CONCLUSION: Morphological/functional MRI features of pNETS depend on tumour grade. DWI is useful for the identification of high-grade tumours. KEY POINTS: • Morphological and functional MRI features of pNETs depend on tumour grade. • Their combination has a high predictive value for grade. • All pNETs should be explored by MR imaging including DWI. • DWI is helpful for identification of high-grade and poorly-differentiated tumours. More... »
PAGES1748-1759
http://scigraph.springernature.com/pub.10.1007/s00330-016-4539-4
DOIhttp://dx.doi.org/10.1007/s00330-016-4539-4
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1043979657
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/27543074
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"description": "OBJECTIVES: To evaluate the value of MR imaging including diffusion-weighted imaging (DWI) for the grading of pancreatic neuroendocrine tumours (pNET).\nMATERIAL AND METHODS: Between 2006 and 2014, all resected pNETs with preoperative MR imaging including DWI were included. Tumour grading was based on the 2010 WHO classification. MR imaging features included size, T1-w, and T2-w signal intensity, enhancement pattern, apparent (ADC) and true diffusion (D) coefficients.\nRESULTS: One hundred and eight pNETs (mean 40\u2009\u00b1\u200933\u00a0mm) were evaluated in 94 patients (48 women, 51\u00a0%, mean age 52\u2009\u00b1\u200912). Fifty-five (51\u00a0%), 42 (39\u00a0%), and 11 (10\u00a0%) tumours were given the following grades (G): G1, G2, and G3. Mean ADC and D values were significantly lower as grade increased (ADC: 2.13\u2009\u00b1\u20090.70, 1.78\u2009\u00b1\u20090.72, and 0.86\u2009\u00b1\u20090.22 10-3 mm2/s, and D: 1.92\u2009\u00b1\u20090.70, 1.75\u2009\u00b1\u20090.74, and 0.82\u2009\u00b1\u20090.19 10-3 mm2/s G1, G2, and G3, all p\u2009<\u20090.001). A higher grade was associated with larger sized tumours (p\u2009<\u20090.001). The AUROC of ADC and D to differentiate G3 and G1-2 were 0.96\u2009\u00b1\u20090.02 and 0.95\u2009\u00b1\u20090.02. Optimal cut-off values for the identification of G3 were 1.19 10-3 mm2/s for ADC (sensitivity 100\u00a0%, specificity 92\u00a0%) and 1.04 10-3 mm2/s for D (sensitivity 82\u00a0%, specificity 92\u00a0%).\nCONCLUSION: Morphological/functional MRI features of pNETS depend on tumour grade. DWI is useful for the identification of high-grade tumours.\nKEY POINTS: \u2022 Morphological and functional MRI features of pNETs depend on tumour grade. \u2022 Their combination has a high predictive value for grade. \u2022 All pNETs should be explored by MR imaging including DWI. \u2022 DWI is helpful for identification of high-grade and poorly-differentiated tumours.",
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"name": "Prediction of pancreatic neuroendocrine tumour grade with MR imaging features: added value of diffusion-weighted imaging",
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