Evidence map›Paper›PMID 36715108›Full record

ArticleThe British journal of radiology2023

Texture analysis of diffusion kurtosis imaging for differentiating malignant from benign sinonasal lesions: added value to conventional imaging features.

Guo-Yi Su, Yong-Kang Xu, Jun Liu, Hao Hu, Mei-Ping Lu, Min Yin, Xiao-Quan Xu, Fei-Yun Wu

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The British journal of radiology, 2023. 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
0.3field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 2 institutions in 1 country.

Guo-Yi SuDepartment of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yong-Kang XuDepartment of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jun LiuDepartment of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hao HuDepartment of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Mei-Ping LuDepartment of Otorhinolaryngology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Min YinDepartment of Otorhinolaryngology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xiao-Quan XuDepartment of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Fei-Yun WuDepartment of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiangsu Province Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the performance of texture analysis (TA) of diffusion kurtosis imaging (DKI) in differentiating malignant from benign sinonasal lesions, and its added value to the conventional imaging features.

methodsFifty-eight patients with malignant and 40 patients with benign sinonasal lesions were retrospectively enrolled. Conventional CT and MRI features were reviewed. Texture parameters were obtained and compared between two groups. Multivariate logistic regression analysis was used to identify the most valuable variables. Receiver operating characteristic curves were performed to assess the differentiating performance of independent variables and their combination.

resultsThere were significant differences in tumor necrosis, bone erosion and soft tissue invasion between the two groups (all

conclusionTA of DKI could supply incremental value to conventional imaging features for pre-operative differential diagnosis between benign and malignant sinonasal lesions. ADVANCES IN KNOWLEDGE: The present study is the first to combine conventional imaging features and the TA of DKI in the differential diagnosis between benign and malignant sinonasal lesions. Our findings suggest that TA of DKI could supply incremental value to conventional imaging features.

Indexed as

Diffusion Magnetic Resonance ImagingDiffusion Tensor ImagingDiagnosis, DifferentialHumansRetrospective StudiesROC CurveSensitivity and Specificity

Identifiers

PMID36715108
PMCPMC10078880
OpenAlexW4318476555

What OpenQuestion holds

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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.