Evidence map›Paper›PMID 40932677›Full record

ArticleLa Radiologia medica2025

Alexander Herold, Azadeh Hajati, Yihan Cao, Kevin P Fialkowski, Soumyadeep Ghosh, Francis Delaney, Vrushab Gowda, Pedram Heidari, Shadi A Esfahani, Mukesh G Harisinghani and 9 more

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

Article in La Radiologia medica, 2025. 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
–field-weighted citation impact
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

19 authors.

Alexander HeroldDivision of Abdominal Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White Building, Room 270, Boston, MA, 02114, USA.
Azadeh HajatiDivision of Abdominal Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White Building, Room 270, Boston, MA, 02114, USA.
Yihan CaoDivision of Abdominal Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White Building, Room 270, Boston, MA, 02114, USA.
Kevin P FialkowskiDivision of Abdominal Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White Building, Room 270, Boston, MA, 02114, USA.
Soumyadeep GhoshDivision of Abdominal Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White Building, Room 270, Boston, MA, 02114, USA.
Francis DelaneyDivision of Abdominal Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White Building, Room 270, Boston, MA, 02114, USA.
Vrushab GowdaDivision of Abdominal Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White Building, Room 270, Boston, MA, 02114, USA.
Pedram HeidariDivision of Nuclear Medicine & Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA.
Shadi A EsfahaniDivision of Nuclear Medicine & Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA.
Mukesh G HarisinghaniDivision of Abdominal Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White Building, Room 270, Boston, MA, 02114, USA.
Luigi AsmundoDivision of Abdominal Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White Building, Room 270, Boston, MA, 02114, USA.
Lucian BeerDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, AKH Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Valeria Peña-TrujilloDivision of Abdominal Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White Building, Room 270, Boston, MA, 02114, USA.
Samantha G HarringtonDivision of Nuclear Medicine & Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA.
Steven StufflebeamDepartment of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, 149 13th Street, MA, 02129, Boston, USA.
Bruce R RosenDepartment of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, 149 13th Street, MA, 02129, Boston, USA.
Michael WeberDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, AKH Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Susie Y HuangDepartment of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, 149 13th Street, MA, 02129, Boston, USA.
Onofrio A CatalanoDivision of Abdominal Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White Building, Room 270, Boston, MA, 02114, USA. onofriocatalano@yahoo.it.ORCID http://orcid.org/0000-0001-7733-4138

Funding

Molecular Imaging of Fibrosis for Improved Treatment Planning of Pancreatic Ductal AdenocarcinomaK08CA259626 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Shadi Abdar Esfahani · 2022 to 2026
$1.3M
NCI NIH HHS K08 CA259626
6 · The paper itself

Abstract

purposeTo evaluate the diagnostic performance of MATERIALS AND

methodsThis retrospective study evaluated patients with histologically-confirmed gastroenteropancreatic neuroendocrine tumors who underwent both contrast-enhanced MRI and

resultsThe study included 36 patients (mean age 66.4 ± 10.7 years, 55.6% male) with 720 lesions, of which 582 were metastases. MRI demonstrated superior performance (sensitivity 94.0%, specificity 94.2%) compared to all other modalities (all p < .001). Combined PET/CT showed superior sensitivity (68.1%) compared to PET alone (61.1%) (p < .001). The addition of diagnostic contrast-enhanced CT to PET interpretation identified 41 additional metastases. Size-stratified analysis revealed superior detection of subcentimeter lesions by MRI (sensitivity 83.3% for ≤ 5 mm, 99.6% for 6-10 mm) compared to PET/CT (34.8% and 78.6%, respectively; p < .001). For lesions > 10 mm, both MRI and PET/CT achieved 100% sensitivity, while PET alone reached 94.1% (p = .019).

conclusionMRI outperforms

Indexed as

Intestinal NeoplasmsLiver NeoplasmsMagnetic Resonance ImagingNeuroendocrine TumorsOrganometallic CompoundsPancreatic NeoplasmsPositron Emission Tomography Computed TomographyStomach NeoplasmsAgedContrast MediaFemaleGallium RadioisotopesHumansMaleMiddle AgedRadiopharmaceuticalsContrast Mediagallium Ga 68 dotatateGallium RadioisotopesOrganometallic CompoundsRadiopharmaceuticalsDiagnostic performanceDOTATATE PET/CTLiver metastasesMagnetic resonance imagingNeuroendocrine tumor

Identifiers

PMID40932677
PMCPMC13060773

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.