Evidence map›Paper›PMID 38135990›Full record

ArticleBioengineering (Basel, Switzerland)2023

Multimodal MRI for Estimating Her-2 Gene Expression in Endometrial Cancer.

Xiwei Li, Shifeng Tian, Changjun Ma, Lihua Chen, Jingwen Qin, Nan Wang, Liangjie Lin, Ailian Liu

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

8 authors at 3 institutions in 1 country.

Xiwei LiDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.
Shifeng TianDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.
Changjun MaDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.
Lihua ChenDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.
Jingwen QinDepartment of Pathology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.
Nan WangDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.
Liangjie LinClinical and Technical Support, Philips Healthcare, Beijing 100016, China.
Ailian LiuDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.
First Affiliated Hospital of Dalian Medical University · CNDalian Medical University · CNPhilips (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the value of multimodal MRI, including amide proton transfer-weighted imaging (APT), diffusion kurtosis imaging (DKI), and T2 mapping sequences for estimating human epidermal growth factor receptor-2 (Her-2) expression in patients with endometrial cancer (EC).

methodsA total of 54 patients with EC who underwent multimodal pelvic MRI followed by biopsy were retrospectively selected and divided into the Her-2 positive (n = 24) and Her-2 negative (n = 30) groups. Her-2 expression was confirmed by immunohistochemistry (IHC). Two observers measured APT, mean kurtosis (MK), mean diffusivity (MD), and T2 values for EC lesions.

resultsThe Her-2 (+) group showed higher APT values and lower MD and T2 values than the Her-2 (-) group (all

conclusionThe APT, DKI, and T2 mapping sequences can be used to preoperatively assess the Her-2 expression in EC, which can contribute to more precise treatment for clinical preoperative.

Indexed as

amide proton transfer-weighted imagingdiffusion kurtosis imagingendometrial cancermagnetic resonance imagingT2 mapping

Identifiers

PMID38135990
PMCPMC10740753
OpenAlexW4389392438

What OpenQuestion holds

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LicenceCC BY
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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.