Evidence map›Paper›PMID 39144027›Full record

ArticleQuantitative imaging in medicine and surgery2024

Using amide proton transfer-weighted magnetic resonance imaging (MRI) in peritumor tissue to predict parametrial infiltration of cervical cancer: a case-control study.

Lianze Du, Qinghai Yuan, Mengdi Zhang, Rui Ma, Lili Zhu, Qinghe Han

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Lianze DuDepartment of Radiology, The Second Hospital of Jilin University, Changchun, China.ORCID https://orcid.org/0000-0002-6087-0994
Qinghai YuanDepartment of Radiology, The Second Hospital of Jilin University, Changchun, China.
Mengdi ZhangDepartment of Radiology, The Second Hospital of Jilin University, Changchun, China.
Rui MaDepartment of Radiology, The Second Hospital of Jilin University, Changchun, China.
Lili ZhuDepartment of Radiology, The Second Hospital of Jilin University, Changchun, China.
Qinghe HanDepartment of Radiology, The Second Hospital of Jilin University, Changchun, China.ORCID https://orcid.org/0000-0002-6594-2467

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Parametrial infiltration (PMI) is an important indicator for staging and treatment of cervical cancer (CC). The potential of amide proton transfer-weighted (APTw) parameters of peritumor tissue in predicting PMI is still uncertain. This study aims to explore whether the APTw parameters of peritumor tissue can improve diagnostic value of diffusion-weighted imaging (DWI) in magnetic resonance imaging (MRI). Methods: Eighty-one patients with pathologic analysis-confirmed CC were enrolled in this retrospective study. All patients underwent APTw MRI and DWI. The APTw values of tumor (APTw-t), APTw values in peritumor tissues (APTw-p) and apparent diffusion coefficient (ADC) values were independently reviewed by two radiologists to map the regions of interest and measure the corresponding values. Receiver operating characteristic curves were generated to evaluate the diagnostic performance of these quantitative parameters. Results: The study patients were divided into the PMI group (n=22) and non-PMI group (n=59). The APTw-t and APTw-p values (%) of PMI group were higher than those of the non-PMI group [3.71 (interquartile range, IQR, 3.60-3.98) and 2.75 (IQR, 2.68-2.77) Conclusions: APTw in peritumor tissues, combined with ADC value can be used to efficiently distinguish PMI of CC.

Indexed as

amide proton transfer-weighted (APTw)apparent diffusion coefficient (ADC)Cervical cancer (CC)Peritumor tissue

Identifiers

PMID39144027
PMCPMC11320517

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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.