Evidence map›Paper›PMID 42599582›Full record

Observational studyJournal of endocrinological investigation2026

Diffusion-weighted magnetic resonance imaging as a promising technique for detection and follow-up of liver metastases from neuroendocrine tumors: a retrospective and prospective study from the NETTARE task force.

Tiziana Feola, Franz Sesti, Alessia Filice, Alexandra Nistor, Alessandra Valenti, Giulia Puliani, Roberta Centello, Carla Pandozzi, Arianna Gagliardi, Riccardo Pirisino and 7 more

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Journal of endocrinological investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Tiziana FeolaDept. of Experimental Medicine, Sapienza University of Rome, Rome, Italy.ORCID http://orcid.org/0000-0003-1066-0064
Franz SestiDepartment of Wellbeing, Health and Environmental Sustainability - BeSSA, Sapienza University of Rome, Rieti, Italy.ORCID http://orcid.org/0000-0003-3850-627X
Alessia FiliceDept. of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Alexandra NistorDept. of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Alessandra ValentiDepartment of Radiological, Pathological and Oncological Sciences, Sapienza University of Rome, Rome, Italy.
Giulia PulianiOncological Endocrinology Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Roberta CentelloDept. of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Carla PandozziDept. of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Arianna GagliardiDept. of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Riccardo PirisinoDepartment of Nuclear Medicine, Santa Maria Goretti Hospital, AUSL Latina, Latina, Italy.
Oreste BagniDepartment of Nuclear Medicine, Santa Maria Goretti Hospital, AUSL Latina, Latina, Italy.
Mauro SalducciDepartment of Sense Organs, Sapienza University of Rome, Rome, Italy.
Marialuisa AppetecchiaOncological Endocrinology Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Carlo CatalanoDepartment of Radiological, Pathological and Oncological Sciences, Sapienza University of Rome, Rome, Italy.
Andrea M IsidoriDept. of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Francesca MaccioniDepartment of Radiological, Pathological and Oncological Sciences, Sapienza University of Rome, Rome, Italy.
Elisa GiannettaDept. of Experimental Medicine, Sapienza University of Rome, Rome, Italy. elisa.giannetta@uniroma1.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA combination of morphological and functional imaging plays a crucial role for neuroendocrine tumors (NETs) management. Diffusion-weighted magnetic resonance imaging (DWI-MRI) is an emerging key imaging technique in the NET field.

aimto evaluate the diagnostic and prognostic role of DWI-MRI in liver metastases (LMs) from NETs compared with multiparametric MRI and functional imaging with

methodsThis is a monocentric, observational, both retrospective and prospective study including patients with histologically proven diagnosis of gastroenteropancreatic (GEP) NET with LM evaluated with MRI and

results426 LMs were analyzed from 17 patients (11 males, mean age 57.2 ± 12.6 years) meeting the inclusion criteria (11.8% G1, 64.7% G2, and 23.5% G3); MRI detected a median of 15 (IQR 2.5-40) lesions per patient, DWI 15 (IQR 2.5-36.5) lesions, while PET-CT 6 (IQR 2.5-20) lesions. Non-parametric analyses suggested that DWI had a detection rate comparable to MRI (p = 0.068) and superior to 68Ga-DOTA peptides PET-CT (p = 0.004), whereas mixed-effects modelling accounting for within-patient clustering showed no statistically significant pairwise differences between imaging modalities after multiple-comparison correction. Moderate-to-good consistency in lesion burden estimation across imaging modalities supported the reproducibility of lesion quantification. Correlation analyses suggested MRI lesion load may reflect the aggressiveness of disease.

conclusionsDWI-MRI can be a useful time-saving imaging technique in the diagnosis and follow-up of LMs from NETs, with a potentially favorable cost-effectiveness ratio.

Indexed as

Diffusion Magnetic Resonance ImagingLiver NeoplasmsNeuroendocrine TumorsAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedOrganometallic CompoundsPositron Emission Tomography Computed TomographyPrognosisProspective StudiesRetrospective StudiesOrganometallic CompoundsDiffusion-weighted magnetic resonanceLiver metastasesMagnetic resonanceNeuroendocrine neoplasmsNeuroendocrine tumors

Identifiers

PMID42599582
PMCPMC13627239

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.