Evidence map›Paper›PMID 35566437›Full record

ArticleJournal of clinical medicine2022

Machine Learning Based on Diffusion Kurtosis Imaging Histogram Parameters for Glioma Grading.

Liang Jiang, Leilei Zhou, Zhongping Ai, Chaoyong Xiao, Wen Liu, Wen Geng, Huiyou Chen, Zhenyu Xiong, Xindao Yin, Yu-Chen Chen

Abstract read
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In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

10 authors.

Liang JiangDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210029, China.
Leilei ZhouDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210029, China.
Zhongping AiDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210029, China.
Chaoyong XiaoDepartment of Radiology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, China.
Wen LiuDepartment of Radiology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, China.
Wen GengDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210029, China.
Huiyou ChenDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210029, China.
Zhenyu XiongDepartment of Radiation Oncology, Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ 08901, USA.ORCID 0000-0001-6905-5307
Xindao YinDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210029, China.
Yu-Chen ChenDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210029, China.ORCID 0000-0002-8539-7224

Funding

Natural Science Foundation of Jiangsu Province BK20201118
6 · The paper itself

Abstract

Glioma grading plays an important role in surgical resection. We investigated the ability of different feature reduction methods in support vector machine (SVM)-based diffusion kurtosis imaging (DKI) histogram parameters to distinguish glioma grades. A total of 161 glioma patients who underwent magnetic resonance imaging (MRI) from January 2017 to January 2020 were included retrospectively. The patients were divided into low-grade (

Indexed as

diffusion kurtosis imaginghistogram analysismachine learningpathological grade

Identifiers

PMID35566437
PMCPMC9105194

What OpenQuestion holds

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Registered trials

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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.