Evidence map›Paper›PMID 40546035›Full record

ArticleDiagnostic and interventional radiology (Ankara, Turkey)2025

Readout-segmented echo-planar imaging and conventional single-shot echo-planar imaging for determining cervical cancer image quality, lymphovascular space invasion, and lymph node metastasis status: a comparative study.

Huizhen Song, Jiao Bai, Yu Wang, Juan Xie, Yunzhu Wu, Jian Shu

Abstract readComparative Study
In one paragraph

Article in Diagnostic and interventional radiology (Ankara, Turkey), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Huizhen SongChengdu Seventh People's Hospital (Affiliated Cancer Hospital of Chengdu Medical College), Department of Radiology, Chengdu, China.ORCID 0000-0003-2843-2991
Jiao BaiThe Affiliated Hospital of Southwest Medical University, Department of Radiology, Luzhou, China.ORCID 0000-0001-5234-0988
Yu WangThe Affiliated Hospital of Southwest Medical University, Department of Radiology, Luzhou, China.ORCID 0009-0008-6946-7107
Juan XieThe Affiliated Hospital of Southwest Medical University, Department of Radiology, Luzhou, China.ORCID 0000-0003-3766-4196
Yunzhu WuNanjing University of Information Science and Technology, School of Artificial Intelligence, AI in Medicine, Nanjing, China.ORCID 0000-0002-4511-762X
Jian ShuThe Affiliated Hospital of Southwest Medical University, Department of Radiology, Luzhou, China.ORCID 0009-0009-2392-4613

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDiffusion-weighted imaging (DWI) using single-shot echo-planar imaging (ss-EPI) is prone to artifacts, geometric distortion, and T2* blurring. Readout-segmented echo-planar imaging (rs-EPI) may improve image quality in the DWI of cervical cancer (CC). This study aimed to compare the image quality between rs-EPI and ss-EPI DWI in CC and to evaluate whether the apparent diffusion coefficient (ADC) values of ss-EPI (ssADC) and rs-EPI (rsADC) can differentiate the status of lymphovascular space invasion (LVSI) and lymph node metastasis (LNM).

methodsThis prospective study included 69 patients with CC who underwent ss-EPI and rs-EPI DWI before surgery. Qualitative reader scores, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and ADC values derived from ss-EPI and rs-EPI were compared. The differences in ADC values were analyzed in patients who were (a) LNM-positive (LNM+, n = 17) and LNM-negative (LNM-, n = 52); (b) LVSI-positive (LVSI+, n = 33) and LVSI-negative (LVSI-, n = 36).

resultsThe rs-EPIs of CC had higher subjective image quality scores and a lower SNR than ss-EPI (all

conclusionOver a similar scan time, rs-EPI improves the qualitative image quality of DWI significantly more than ss-EPI and has good diagnostic accuracy for LNM status in CC. However, neither could predict the LVSI status. CLINICAL SIGNIFICANCE: Readout-segmented EPI improves the qualitative image quality of DWI and has good diagnostic accuracy for LNM status in CC, compared with conventional ss-EPI. It is more inclined to qualitative analysis of CC foci and provides a better scheme when choosing the DWI sequence scanning strategy for CC.

Indexed as

Diffusion Magnetic Resonance ImagingEcho-Planar ImagingLymphatic MetastasisUterine Cervical NeoplasmsAdultAgedFemaleHumansLymph NodesMiddle AgedNeoplasm InvasivenessProspective StudiesSignal-To-Noise Ratiocervical cancerdiffusion-weighted imagingEcho-planar imaginglymph node metastasislymphovascular space invasionsignal-to-noise ratio

Identifiers

PMID40546035
PMCPMC12591096

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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.