Evidence map›Paper›PMID 39309916›Full record

ArticleHeliyon2024

The diagnostic value of histogram analysis of DWI and DKI for the mismatch repair status of rectal adenocarcinoma.

Hao Chen, Zhicheng Jin, Xiaoxiao Dai, Juan Zhu, Guangqiang Chen

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Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hao ChenDepartment of Medical Imaging, Anqing Municipal Hospital, Anqing, China.
Zhicheng JinDepartment of Nuclear Medicine, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Xiaoxiao DaiDepartment of Pathology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Juan ZhuDepartment of Medical Imaging, Anqing Municipal Hospital, Anqing, China.
Guangqiang ChenDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To compare the diagnostic value of histogram analysis derived from diffusion weighted imaging (DWI) and diffusion kurtosis imaging (DKI) in differentiating the mismatch repair (MMR) status of rectal adenocarcinoma. Methods: DWI and DKI were performed in 124 patients with rectal adenocarcinoma, which were divided into deficient mismatch repair (dMMR) group and proficient mismatch repair (pMMR) group. The patients' general clinical information, pathology and image characteristics were compared. The histogram analysis of apparent diffusion coefficient (ADC), diffusion kurtosis (K) and diffusion coefficient (D)derived from DWI and DKI at b values of 1000 and 2000 s/mm Results: The mean, 50th, 75th and 90th in ADC quantitative parameters of dMMR group were lower when the b value was 2000 s/mm Conclusion: Histogram analysis derived from DWI and DKI can be good predictor of MMR. Kskewness is the strongest independent factor for predicting MMR.

Indexed as

Diffusion weighted imagingHistogram analysisMagnetic resonance imagingMismatch repair statusRectal adenocarcinoma

Identifiers

PMID39309916
PMCPMC11416531

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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.