Evidence map›Paper›PMID 38795181›Full record

ArticleNeurosurgical review2024

The value of whole tumor apparent diffusion coefficient histogram parameters in predicting meningiomas progesterone receptor expression.

Zhiyong Zhao, Jinglong Zhang, Shuai Yuan, He Zhang, Hang Yin, Gang Wang, Yawen Pan, Qiang Li

Abstract read
PubMed Publisher
In one paragraph

Article in Neurosurgical review, 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

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

2 citing papers in PubMed.

  1. Article
  2. 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.

Zhiyong Zhao *Department of Neurosurgery and Laboratory of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, Gansu, China.
Jinglong Zhang *Department of Neurosurgery and Laboratory of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, Gansu, China.
Shuai YuanDepartment of Neurosurgery and Laboratory of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, Gansu, China.
He ZhangDepartment of Neurosurgery and Laboratory of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, Gansu, China.
Hang YinDepartment of Neurosurgery and Laboratory of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, Gansu, China.
Gang WangDepartment of Neurosurgery and Laboratory of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, Gansu, China.
Yawen PanDepartment of Neurosurgery and Laboratory of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, Gansu, China. panyawen666@sohu.com.
Qiang LiDepartment of Neurosurgery and Laboratory of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, Gansu, China. strong908@163.com.

Funding

Cuiying Technology Innovation Plan CY2021-MS-B10Gansu Province Health Care Industry Research Programme GSWSKY2021-006
6 · The paper itself

Abstract

purposeThis study investigated the value of whole tumor apparent diffusion coefficient (ADC) histogram parameters and magnetic resonance imaging (MRI) semantic features in predicting meningioma progesterone receptor (PR) expression. MATERIALS AND

methodsThe imaging, pathological, and clinical data of 53 patients with PR-negative meningiomas and 52 patients with PR-positive meningiomas were retrospectively reviewed. The whole tumor was outlined using Firevoxel software, and the ADC histogram parameters were calculated. The differences in ADC histogram parameters and MRI semantic features were compared between the two groups. The predictive values of parameters for PR expression were assessed using receiver operating characteristic curves. The correlation between whole-tumor ADC histogram parameters and PR expression in meningiomas was also analyzed.

resultsGrading was able to predict the PR expression in meningiomas (p = 0.012), though the semantic features of MRI were not (all p > 0.05). The mean, Perc.01, Perc.05, Perc.10, Perc.25, and Perc.50 histogram parameters were able to predict meningioma PR expression (all p < 0.05). The predictive performance of the combined histogram parameters improved, and the combination of grade and histogram parameters provided the optimal predictive value, with an area under the curve of 0.849 (95%CI: 0.766-0.911) and sensitivity, specificity, ACC, PPV, and NPV of 73.08%, 81.13%, 77.14%, 79.20%, and 75.40%, respectively. The mean, Perc.01, Perc.05, Perc.10, Perc.25, and Perc.50 histogram parameters were positively correlated with PR expression (all p < 0.05).

conclusionWhole tumor ADC histogram parameters have additional clinical value in predicting PR expression in meningiomas.

Indexed as

Diffusion Magnetic Resonance ImagingMeningeal NeoplasmsMeningiomaReceptors, ProgesteroneAdultAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesReceptors, ProgesteroneApparent diffusion coefficientHistogram analysisMagnetic resonance imagingMeningiomaProgesterone receptor

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.