Evidence map›Paper›PMID 40673939›Full record

ArticleAbdominal radiology (New York)2026

Effectiveness of T2-weighted and contrast-enhanced T1-weighted multivane sequences in the preoperative evaluation of uterine endometrial cancer.

Tomohiro Ando, Hiroki Kato, Takahide Maeda, Takuya Seko, Tatsuro Furui, Masanori Isobe, Kimihiro Kajita, Masaya Kawaguchi, Yoshifumi Noda, Abdelazim Elsayed Elhelaly and 2 more

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Article in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Tomohiro AndoGifu University, Gifu City, Japan. ando.tomohiro.y6@f.gifu-u.ac.jp.
Hiroki KatoGifu University, Gifu City, Japan.
Takahide MaedaGifu University, Gifu City, Japan.
Takuya SekoGifu University, Gifu City, Japan.
Tatsuro FuruiGifu University, Gifu City, Japan.
Masanori IsobeGifu University, Gifu City, Japan.
Kimihiro KajitaGifu University, Gifu City, Japan.
Masaya KawaguchiGifu University, Gifu City, Japan.
Yoshifumi NodaGifu University, Gifu City, Japan.
Abdelazim Elsayed ElhelalyGifu University, Gifu City, Japan.
Hirohiko ImaiGifu University, Gifu City, Japan.
Masayuki MatsuoGifu University, Gifu City, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to evaluate the clinical effectiveness of MultiVane (MV) sequence, which is a motion correction technique using rotating blades, for patients with uterine endometrial cancer. MATERIALS AND

methodsThis study enrolled 42 patients with histopathologically confirmed uterine endometrial cancer, who underwent preoperative MRI including sagittal T2-weighted images (T2WI) and contrast-enhanced T1-weighted images (CE-T1WI) acquired using both turbo spin-echo (TSE) and MV sequences with approximately matched acquisition times. Two experienced radiologists independently evaluated all sagittal images. First, the readers assessed the degree of motion artifacts and measured the signal intensity of the tumor and myometrium to calculate the signal-to-noise ratio (SNR) and tumor-to-myometrium contrast ratio (CR). Second, the readers assessed the depth of myometrial invasion on sagittal T2WI and CE-T1WI acquired using TSE and MV sequences. Image quality and diagnostic performance for assessing myometrial invasion were compared between TSE and MV sequences.

resultsMotion artifacts were significantly improved on MV sequence than on TSE sequence (p < 0.01). The SNR and CR were not significantly different between TSE and MV sequences (p > 0.05). Sensitivities, specificities, accuracies, and area under the curve for the diagnosis of myometrial invasion were slightly increased on MV sequence than on TSE sequence, but these differences were not statistically significant (p > 0.05).

conclusionMV sequence contributes to the improvement of motion artifacts in the female pelvis without degrading SNR and CR of endometrial cancer and myometrium compared to TSE sequence. MV sequence did not significantly improve the diagnostic performance for assessing myometrial invasion in endometrial cancer, possibly due to the limited imaging plane and small sample size.

Indexed as

Endometrial NeoplasmsImage EnhancementMagnetic Resonance ImagingPreoperative CareAdultAgedAged, 80 and overArtifactsContrast MediaFemaleHumansMiddle AgedNeoplasm InvasivenessRetrospective StudiesSignal-To-Noise RatioContrast MediaMotion artifactMultiVaneMyometrial invasionUterine endometrial cancer

Identifiers

PMID40673939

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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.