Evidence map›Paper›PMID 34567237›Full record

ArticleComputational and mathematical methods in medicine2021

Texture Analysis in the Assessment of Rectal Cancer: Comparison of T2WI and Diffusion-Weighted Imaging.

Ming Li, Xiaodan Xu, Pengjiang Qian, Heng Jiang, Jianlong Jiang, Jinbing Sun, Zhihua Lu

Abstract readComparative Study
In one paragraph

Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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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

7 authors.

Ming LiDepartment of General Surgery, Changshu No. 1 People's Hospital, Changshu, 215500 Jiangsu Province, China.
Xiaodan XuDepartment of Gastroenterology, Changshu No. 1 People's Hospital, Changshu, 215500 Jiangsu Province, China.
Pengjiang QianSchool of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, 214122 Jiangsu Province, China.
Heng JiangDepartment of Radiology, Changshu No. 1 People's Hospital, Changshu, 215500 Jiangsu Province, China.
Jianlong JiangDepartment of General Surgery, Changshu No. 1 People's Hospital, Changshu, 215500 Jiangsu Province, China.
Jinbing SunDepartment of General Surgery, Changshu No. 1 People's Hospital, Changshu, 215500 Jiangsu Province, China.ORCID https://orcid.org/0000-0002-3400-6035
Zhihua LuDepartment of Radiology, Changshu No. 1 People's Hospital, Changshu, 215500 Jiangsu Province, China.ORCID https://orcid.org/0000-0002-6860-1449

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Texture analysis (TA) techniques derived from T2-weighted imaging (T2WI) and apparent diffusion coefficient (ADC) maps of rectal cancer can both achieve good diagnosis performance. This study was to compare TA from T2WI and ADC maps between different pathological T and N stages to confirm which TA analysis is better in diagnosis performance. 146 patients were enrolled in this study. Tumor TA was performed on every patient's T2WI and ADC maps, respectively; then, skewness, kurtosis, uniformity, entropy, energy, inertia, and correlation were calculated. Our results demonstrated that those significant different parameters derived from T2WI had better diagnostic performance than those from ADC maps in differentiating pT3b-4 and pN1-2 stage tumors. In particular, the energy derived from T2WI was an optimal parameter for diagnostic efficiency. High-resolution T2WI plays a key point in the local stage of rectal cancer; thus, TA derived from T2WI may be a more useful tool to aid radiologists and surgeons in selecting treatment.

Indexed as

AdultAgedAged, 80 and overChinaComputational BiologyDiffusion Magnetic Resonance ImagingFemaleHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedRectal NeoplasmsRetrospective StudiesROC Curve

Identifiers

PMID34567237
PMCPMC8457990

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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.