Evidence map›Paper›PMID 41113798›Full record

ArticleJournal of clinical imaging science2025

Whole-body magnetic resonance imaging with ultra-short echo time sequence versus fluorodeoxyglucose-positron emission tomography/computed tomography in detecting gynecologic metastases.

Kazim Ziya Gumus, Karina Hew, Savas Ozdemir, Sanjay Lamsal, Sindhu Kumar, Minh Nguyen, Pan Su, Vahid Khalilzad Sarghi, Mauricio Hernandez, Gregory C Wynn and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical imaging science, 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

12 authors.

Kazim Ziya GumusDepartment of Radiology, University of Florida College of Medicine, Jacksonville, United States.
Karina HewDepartment of Obstetrics and Gynecology, University of Florida, Jacksonville, United States.
Savas OzdemirDepartment of Radiology, University of Florida College of Medicine, Jacksonville, United States.ORCID https://orcid.org/0000-0002-3342-848X
Sanjay LamsalDepartment of Radiology, University of Florida College of Medicine, Jacksonville, United States.
Sindhu KumarDepartment of Radiology, University of Florida College of Medicine, Jacksonville, United States.
Minh NguyenDepartment of Radiology, University of Florida College of Medicine, Jacksonville, United States.
Pan SuMRI, Siemens Medical Solutions USA Inc., Pennsylvania, United States.
Vahid Khalilzad SarghiMRI, Siemens Healthineers, Atlanta, United States.
Mauricio HernandezDepartment of Radiology, University of Florida College of Medicine, Jacksonville, United States.
Gregory C WynnDepartment of Radiology, University of Florida College of Medicine, Jacksonville, United States.
Dheeraj Reddy GopireddyDepartment of Radiology, University of Florida College of Medicine, Jacksonville, United States.
Chandana LallDepartment of Radiology, City of Hope, Duarte, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to assess the diagnostic performance of whole-body magnetic resonance imaging (wbMRI) in comparison with gold standard Material and Methods: We prospectively enrolled five histologically proven GCa patients who underwent FDG-PET/CT and were identified with metastatic disease in their lungs. We customized a wbMRI protocol including ultra-short echo time (UTE) MRI sequence with a stack-of-spiral acquisition and imaged the patients on a 3 Tesla MRI scanner. Nuclear medicine physicians and radiologists reviewed the PET/CT and MRI images respectively and compared the findings for each patient. PET/CT images were accepted gold standard. We calculated the sensitivities of wbMRI and assessed the differences in diagnostic performance between PET/CT and wbMRI using McNemar's test ( Results: Three patients had cervical cancer while two had ovarian cancer. FDG-PET/CT detected a total of 44 findings (including nodules, lesions, and lymph nodes) across the five patients. WbMRI showed 39 findings with a sensitivity of 89%. McNemar's test revealed no statistically significant difference between wbMRI and PET/CT. The pre-contrast UTE sequence displayed 33 findings (33/44) and in detecting lung nodules, it displayed an accuracy of 70% (7/10). Conclusion: This pilot study suggests that wbMRI demonstrates no statistically significant difference compared to

Indexed as

Gynecological cancersPositron emission tomography/computed tomographyStack of spiralsUltra-short echo timeWhole-body magnetic resonance imaging

Identifiers

PMID41113798
PMCPMC12530790

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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.