title: Magnetic resonance imaging follow-up of liver growth of neuroendocrine tumors in an experimental mouse model.
abstract: Liver metastases in patients with gastroenteropancreatic (GEP) endocrine tumors represent the main factor of adverse prognosis in this tumor type and thus have a strong effect on the therapeutic strategies. Currently, magnetic resonance imaging (MRI) is considered the modality of choice for the noninvasive, in vivo detection of liver metastases. Dedicated MRI protocols suitable for following liver lesion evolution on an experimental model of endocrine tumors could be valuable. An experimental animal model mimicking the clinical situation of intrahepatic dissemination has been designed. The goal of this study was to characterize liver lesions in this athymic nude mouse model and assess the detection sensitivity of MRI using a physiological gating strategy optimized for high magnetic fields. The experiments were performed at 7 T using a dual cardiac-respiratory-triggered multiple spin-echo sequence. This protocol was used to carry out a longitudinal follow-up of hepatic lesions in a group of eight nude mice at different stages: Day 7 (D7), Day 12 (D12), Day 17 (D17) and Day 24 (D24). The hepatic lesion volume fraction (HLVF) was quantified using an adaptive segmentation procedure based on a dual-reference limit. Mean transverse relaxation time T(2) values were quantified from multiple spin-echo images. The first lesions were detected at stage D12 on images with 20-ms TE. From D12, the HLVF increased significantly with stage. The mean T(2) values also increased significantly at D17 and D24. In conclusion, the level of detection and characterization of liver lesions were performed using a devoted protocol with a dedicated high-field MRI synchronization strategy. In future studies, MRI could be used to monitor the effects of targeted therapies on liver endocrine metastases in preclinical animal models.
authors.affiliation: Université de Lyon, CREATIS-LRMN, CNRS UMR 5220, Inserm U630, INSA-Lyon, Université Lyon 1, F-69622, Villeurbanne, France.
authors.forename: Loredana
authors.initials: L
authors.lastname: Baboi
authors.forename: Frank
authors.initials: F
authors.lastname: Pilleul
authors.forename: Laurent
authors.initials: L
authors.lastname: Milot
authors.forename: Carole
authors.initials: C
authors.lastname: Lartizien
authors.forename: Gilles
authors.initials: G
authors.lastname: Poncet
authors.forename: Colette
authors.initials: C
authors.lastname: Roche
authors.forename: Jean-Yves
authors.initials: JY
authors.lastname: Scoazec
authors.forename: Olivier
authors.initials: O
authors.lastname: Beuf
mesh_terms: D000818:Animals; D004195:Disease Models, Animal; D005260:Female; D006801:Humans; D008113:Liver Neoplasms / Q000473:pathology* / Q000556:secondary*; D051379:Mice; D008819:Mice, Nude; D009361:Neoplasm Invasiveness; D018358:Neuroendocrine Tumors / Q000473:pathology* / Q000556:secondary*; D015203:Reproducibility of Results; D055425:Respiratory-Gated Imaging Techniques / Q000379:methods*; D012680:Sensitivity and Specificity