Read by QxMD icon Read

Predictive value of preoperative MRI features for the Ki-67 index in well-differentiated G1/G2 pancreatic neuroendocrine tumors

Haitao Sun, Shilong Zhang, Kai Liu, Jianjun Zhou, Xingxing Wang, Tingting Shen, Xiaolin Wang
Acta Radiologica 2019 March 26, : 284185119840212

BACKGROUND: The accurate estimation of the Ki-67 index of well-differentiated pancreatic neuroendocrine tumors (PanNET) not only guides curative management but also avoids unnecessary treatment.

PURPOSE: To investigate whether magnetic resonance imaging (MRI) features could preoperatively discriminate the Ki-67 index of well-differentiated G1/G2 PanNETs and to construct an individualized predictive model through developing a MRI-based nomogram.

MATERIAL AND METHODS: Ninety-nine patients with G1/G2 PanNETs were divided into Ki-67 index <5% (n = 58) and Ki-67 index ≥5% groups (n = 41). Multiparametric MRI features of two groups were assessed via uni- and multivariate logistic regression models. The MRI-based nomogram was then developed based on multivariable logistic analysis; the effectivity of the nomogram was validated according to the C-index, calibrations, and a decision curve analysis.

RESULTS: MRI features, including tumor size (odds risk [OR] = 7.791; P = 0.003) and the ADC values (OR = 0.245, P = 0.018) were significant independent risk factors for the high Ki-67 index (≥5%) of G1/2 PanNETs at multivariable analysis. The performance of the MRI-based nomogram (with a C-index of 0.825) was improved compared with that based on tumor size and ADC alone (with C-index values of 0.709 and 0.716, respectively). The calibration curve of the nomogram exhibited good consistency between evaluated and observed outcomes. The decision curve showed that the nomogram incorporating two MRI features had better clinical utilization than single features.

CONCLUSION: The preliminary MRI-based nomogram could be used to discriminate the Ki-67 index in well-differentiated G1/2 PanNETs.


You need to log in or sign up for an account to be able to comment.

No comments yet, be the first to post one!

Trending on Read

Available on the App Store

Available on the Play Store
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"