Pancreatic Neuroendocrine Tumors in Patients with Multiple Endocrine Neoplasia Type 1: Diagnostic Value of Different MRI Sequences.


Journal

Neuroendocrinology
ISSN: 1423-0194
Titre abrégé: Neuroendocrinology
Pays: Switzerland
ID NLM: 0035665

Informations de publication

Date de publication:
2021
Historique:
received: 22 04 2020
accepted: 23 06 2020
pubmed: 25 6 2020
medline: 27 1 2022
entrez: 25 6 2020
Statut: ppublish

Résumé

MRI is a useful imaging modality to assess the presence of pancreatic neuroendocrine tumors (PNETs), allowing repeat monitoring examinations in multiple endocrine neoplasia type 1 (MEN-1) patients. We aimed to compare the diagnostic accuracy of conventional MRI sequences to identify which sequence better depicts the presence of PNETs in MEN-1 patients. We performed a retrospective analysis of consecutive MEN-1 patients who underwent a conventional MRI protocol to monitor previously proven PNETs. MRI sequences T1-w chemical shift (CS), T2-w HASTE, fat-suppressed (FS) T2-w HASTE, diffusion-weighted imaging (DWI), and pre- and post-contrast FS T1-w sequences were independently analyzed by 2 experienced radiologists using a 3-grade score (no lesion, uncertain lesion, and certain lesion); lesion size and signal intensity were recorded. A Friedman ANOVA and a Wilcoxon pairwise test for the post hoc analysis were used. The sensitivity of each sequence was measured, and the results were analyzed with the χ2 test. We included 21 patients with a total of 45 PNETs proven by histology, endoscopic ultrasonography-guided fine-needle aspiration, CT, and nuclear medicine studies. A statistically significant (p < 0.01) difference was observed in the detection performance of each MRI sequence, particularly between DWI (91%) and T2-w FS (85%) sequences in comparison to the others (T1-w CS, T2-w, and pre- and post-contrast FS T1-w, ≤56% for all); no significant (p = 0.5) difference was found between the detection performance of DWI and T2-w FS sequences. No correlation was observed between the qualitative score of each sequence and lesion tumor size. DWI and T2-w FS sequences proved to be the most accurate in the detection of PNETs, thus suggesting a role for an abbreviated MRI protocol without contrast medium administration for monitoring MEN-1 patients.

Sections du résumé

BACKGROUND
MRI is a useful imaging modality to assess the presence of pancreatic neuroendocrine tumors (PNETs), allowing repeat monitoring examinations in multiple endocrine neoplasia type 1 (MEN-1) patients.
OBJECTIVES
We aimed to compare the diagnostic accuracy of conventional MRI sequences to identify which sequence better depicts the presence of PNETs in MEN-1 patients.
METHOD
We performed a retrospective analysis of consecutive MEN-1 patients who underwent a conventional MRI protocol to monitor previously proven PNETs. MRI sequences T1-w chemical shift (CS), T2-w HASTE, fat-suppressed (FS) T2-w HASTE, diffusion-weighted imaging (DWI), and pre- and post-contrast FS T1-w sequences were independently analyzed by 2 experienced radiologists using a 3-grade score (no lesion, uncertain lesion, and certain lesion); lesion size and signal intensity were recorded. A Friedman ANOVA and a Wilcoxon pairwise test for the post hoc analysis were used. The sensitivity of each sequence was measured, and the results were analyzed with the χ2 test.
RESULTS
We included 21 patients with a total of 45 PNETs proven by histology, endoscopic ultrasonography-guided fine-needle aspiration, CT, and nuclear medicine studies. A statistically significant (p < 0.01) difference was observed in the detection performance of each MRI sequence, particularly between DWI (91%) and T2-w FS (85%) sequences in comparison to the others (T1-w CS, T2-w, and pre- and post-contrast FS T1-w, ≤56% for all); no significant (p = 0.5) difference was found between the detection performance of DWI and T2-w FS sequences. No correlation was observed between the qualitative score of each sequence and lesion tumor size.
CONCLUSIONS
DWI and T2-w FS sequences proved to be the most accurate in the detection of PNETs, thus suggesting a role for an abbreviated MRI protocol without contrast medium administration for monitoring MEN-1 patients.

Identifiants

pubmed: 32580192
pii: 000509647
doi: 10.1159/000509647
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

696-704

Informations de copyright

© 2020 S. Karger AG, Basel.

Auteurs

Francesco Verde (F)

Department of Advanced Biomedical Sciences, University of Naples "Federico II,", Naples, Italy.

Roberta Galatola (R)

Department of Advanced Biomedical Sciences, University of Naples "Federico II,", Naples, Italy.

Valeria Romeo (V)

Department of Advanced Biomedical Sciences, University of Naples "Federico II,", Naples, Italy, valeria.romeo@unina.it.

Teresa Perillo (T)

Department of Advanced Biomedical Sciences, University of Naples "Federico II,", Naples, Italy.

Raffaele Liuzzi (R)

Institute of Biostructures and Bioimaging of the National Council of Research (CNR), Naples, Italy.

Luigi Camera (L)

Department of Advanced Biomedical Sciences, University of Naples "Federico II,", Naples, Italy.

Michele Klain (M)

Department of Advanced Biomedical Sciences, University of Naples "Federico II,", Naples, Italy.

Roberta Modica (R)

Department of Clinical Medicine and Surgery, University of Naples "Federico II,", Naples, Italy.

Antongiulio Faggiano (A)

Department of Clinical Medicine and Surgery, University of Naples "Federico II,", Naples, Italy.

Vincenzo Napolitano (V)

Department of Translational Medical Sciences, University of Campania "L. Vanvitelli,", Naples, Italy.

Annamaria Colao (A)

Department of Clinical Medicine and Surgery, University of Naples "Federico II,", Naples, Italy.

Arturo Brunetti (A)

Department of Advanced Biomedical Sciences, University of Naples "Federico II,", Naples, Italy.

Simone Maurea (S)

Department of Advanced Biomedical Sciences, University of Naples "Federico II,", Naples, Italy.

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