Evidence map›Paper›PMID 31956546›Full record

ArticleQuantitative imaging in medicine and surgery2020

Histological grades of rectal cancer: whole-volume histogram analysis of apparent diffusion coefficient based on reduced field-of-view diffusion-weighted imaging.

Yang Peng, Hao Tang, Xiaoyan Meng, Yaqi Shen, Daoyu Hu, Ihab Kamel, Zhen Li

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Article in Quantitative imaging in medicine and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

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20citing papers in PubMed
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3 · Its place in the literature

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20 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.

Yang PengTongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China.
Hao TangTongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China.
Xiaoyan MengTongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China.
Yaqi ShenTongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China.
Daoyu HuTongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China.
Ihab KamelRussell H. Morgan Department of Radiology and Radiological Science, the Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.
Zhen LiTongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China.

Funding

Advanced Software for MRI, PET, SPECT and CT Image AnalysisU24EB028980 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RUSINEK, HENRY · 2019 to 2021
$1.2M
NIBIB NIH HHS U24 EB028980
6 · The paper itself

Abstract

backgroundTo explore the role of whole-lesion histogram analysis of apparent diffusion coefficient (ADC) derived from reduced field-of-view (rFOV) diffusion-weighted imaging (DWI) technique in discriminating histological grades of rectal carcinoma.

methodsAltogether, 49 patients with rectal cancer were enrolled in this retrospective study. All patients received preoperative 3.0 T MR scan. Histogram parameters from rFOV DWI were calculated and correlated with histological differentiation of rectal cancer. The parameters were compared between different histological grades of rectal cancer by independent Student's t-test or Man-Whitney U-test. The Spearman correlation test analyzed correlations between histological grade and histogram parameters. The diagnostic performance of individual parameters for distinguishing poorly from well-/moderately differentiated tumors was assessed by receiver operating characteristic curve (ROC) analysis.

resultsThere were significant differences for ADCmean, 25

conclusionsQuantitative whole-lesion ADC histogram analysis based on the rFOV DWI technique could help differentiate histological grades of rectal cancer. The combination of ADCmean, 75

Indexed as

cell differentiationDiffusion magnetic resonance imaging (diffusion MRI)gastrointestinal neoplasmsmagnetic resonance imaging (MRI)rectal neoplasms

Identifiers

PMID31956546
PMCPMC6960428

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