Pancreatic neuroendocrine tumor: Correlations between MRI features, tumor biology, and clinical outcome after surgery

Canellas, Rodrigo; Lo, Grace C.; Bhowmik, Sreejita; Ferrone, Cristina R.; Sahani, Dushyant V.

doi:10.1002/jmri.25756

Cited by 28 publications

(14 citation statements)

References 25 publications

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“…De Robertis et al13 reported that an ill-defined margin and significantly lower mean ADC value were valuable predictors for G2/G3 tumors. Canellas et al33 found that G2/G3 tumors had larger tumor size (>2.0 cm), iso-or hypo-intensity on T2WI, presence of pancreatic ductal dilatation, and restricted diffusion within the tumor compared to G1 tumors. Similar results were observed in our study.…”

Section: Discussionmentioning

confidence: 99%

<p>Pancreatic neuroendocrine tumor: prediction of the tumor grade using magnetic resonance imaging findings and texture analysis with 3-T magnetic resonance</p>

Guo¹,

Ren²,

Chen³

et al. 2019

CMAR

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Purpose The purpose of this study was to evaluate the performance of magnetic resonance imaging (MRI) findings and texture parameters for prediction of the histopathologic grade of pancreatic neuroendocrine tumors (PNETs) with 3-T magnetic resonance. Patients and methods PNETs are classified into Grade 1 (G1), Grade 2 (G2), and Grade 3 (G3) tumors based on the Ki-67 proliferation index and the mitotic activity. A total of 77 patients with pathologically confirmed PNETs met the inclusion criteria. Texture analysis (TA) was applied to T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI) maps. Patient demographics, MRI findings, and texture parameters were compared among three different histopathologic subtypes by using Fisher’s exact tests or Kruskal–Wallis test. Then, logistic regression analysis was adopted to predict tumor grades. ROC curves and AUCs were calculated to assess the diagnostic performance of MRI findings and texture parameters in prediction of tumor grades. Results There were 31 G1, 29 G2, and 17 G3 patients. Compared with G1, G2/G3 tumors showed higher frequencies of an ill-defined margin, a predominantly solid tumor type, local invasion or metastases, hypo-enhancement at the arterial phase, and restriction diffusion. Four T2-based (inverse difference moment, energy, correlation, and differenceEntropy) and five DWI-based (correlation, contrast, inverse difference moment, maxintensity, and entropy) TA parameters exhibited statistical significance among PNETs ( P <0.001). The AUCs of six predicting models on T2WI and DWI ranged from 0.703–0.989. Conclusion Our data indicate that MRI findings, including tumor margin, texture, local invasion or metastases, tumor enhancement, and diffusion restriction, as well as texture parameters can aid the prediction of PNETs grading.

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Section: Discussionmentioning

confidence: 99%

<p>Pancreatic neuroendocrine tumor: prediction of the tumor grade using magnetic resonance imaging findings and texture analysis with 3-T magnetic resonance</p>

Guo¹,

Ren²,

Chen³

et al. 2019

CMAR

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“…Of all pancreatic tumors, pancreatic neuroendocrine tumors (pNETs) only account for 1% to 5% and are rare and highly heterogeneous neuroendocrine tumors 1 - 3 . With the attention and technology improvement, the incidence has increased in 2 to 3 fold over the past decades 4 - 6 . Due to its peculiarity of occult malignancy and indolent characteristics, pNETs patients have a limited survival outcome with a 5-year survival rate of 80%-90% after resected surgery 3 , 7 , 8 .…”

Section: Introductionmentioning

confidence: 99%

The latest exploration of staging and prognostic classification for pancreatic neuroendocrine tumors: a large population-based study

Gao

Liu

et al. 2018

J. Cancer

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Background: A modified European Neuroendocrine Tumor Society (mENETS) staging system has been confirmed to be more suitable for pancreatic neuroendocrine tumors (pNETs) when compared to the American Joint Committee on Cancer (AJCC) or the European Neuroendocrine Tumor Society (ENETS) systems in the last few years. However, the importance of N stage has been recently published with several significant updates.Methods: SEER registry (n = 2,209) was used to evaluate the application of the AJCC 7th staging system, ENETS staging system, mENETS staging system and reformed ENETS (rENETS) staging system in this study.Results: For the ENETS staging system, patients with stage I disease had a similar prognosis to patients with stage II disease (P=0.154), and patients with stage IIIA and stage IIIB diseases showed adverse prognostic potential. The proportion of patients with stage III diseases using AJCC 7th staging system was extremely lower than those with mENETS staging system or rENETS staging system (3.6%, 23.0% and 23.7%, respectively). Furthermore, the hazard ratio of death for patients with stage II or III disease using rENETS staging system was slightly higher than that of mENETS staging system. Besides, survival curves were better separated by rENETS staging system. A prognostic nomogram for overall survival (OS) was formulated to obtain superior discriminatory abilities.Conclusions: The rENETS staging system has superior distribution in proportion than the AJCC 7th, ENETS or mENETS staging system, and one more accurate and advanced predictive model will be achieved via the incorporation to be adopted in clinical practice.

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“…In the era of personalized medicine, where the size of a tumor of neuroendocrine origin has been several times used as a criterion to proceed with an additional oncological surgery [15][16][17][18] , it is important to know the accordance or the discordance of the techniques used to identify the real size of a tumor. On the other hand, qualitive data may have an equally important role on decision making since may differentiate malignant from benign lesions 19,20 .…”

Section: Discussionmentioning

confidence: 99%

"Biliary cystadenoma and cystadenocarcinoma in patients operated for liver hydatid cysts: a retrospective clinical study and literature review"

Alexandraki¹,

Antonopoulou²,

Παπαϊωάννου³

et al. 2020

Arch Balk Med Union

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Précision des modalités d'imagerie de la glande surrénale dans la prédiction de la dimension tumorale histologique suite à la surrénalectomie Introduction. La tomodensitométrie (TDM) et l'imagerie par résonance magnétique (IRM) sont les outils de diagnostic utilisés pour l'identification d'un néoplasme surrénalien. Traditionnellement, la taille radiologique (RS) de la glande surrénale est considérée comme sous-estimée par toute imagerie préopératoire par rapport à la taille histologique réelle (HS). L'objectif de l'étude était de déterminer si des techniques d'imagerie récentes et plus sophistiquées ABSTRACT Background. Computed tomography (CT) and magnetic resonance imaging (MRI) are the imaging modalities used for the identification of an adrenal neoplasm. Traditionally, the adrenal gland radiological size (RS) is underestimated by any preoperative imaging compared to the actual histological size (HS). The objective of the study was to investigate whether recent and more sophisticated imaging techniques can more accurately predict adrenal tumors' size. Material and methods. We retrospectively analyzed 129 patients (86 females, 67%) with mean age 54.

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Pancreatic neuroendocrine tumor: Correlations between MRI features, tumor biology, and clinical outcome after surgery

Abstract: 3 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2018;47:425-432.

Cited by 28 publications

References 25 publications

<p>Pancreatic neuroendocrine tumor: prediction of the tumor grade using magnetic resonance imaging findings and texture analysis with 3-T magnetic resonance</p>

<p>Pancreatic neuroendocrine tumor: prediction of the tumor grade using magnetic resonance imaging findings and texture analysis with 3-T magnetic resonance</p>

The latest exploration of staging and prognostic classification for pancreatic neuroendocrine tumors: a large population-based study

"Biliary cystadenoma and cystadenocarcinoma in patients operated for liver hydatid cysts: a retrospective clinical study and literature review"

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