Evidence map›Paper›PMID 26829400›Full record

ArticleDiagnostic and interventional radiology (Ankara, Turkey)

Utility of histogram analysis of ADC maps for differentiating orbital tumors.

Xiao-Quan Xu, Hao Hu, Guo-Yi Su, Hu Liu, Xun-Ning Hong, Hai-Bin Shi, Fei-Yun Wu

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Article in Diagnostic and interventional radiology (Ankara, Turkey). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

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23citing papers 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.

2 · The registry

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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  14. Histogram analysis of apparent diffusion coefficient maps for differentiating malignant from benign parotid gland tumors.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2018
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiao-Quan XuDepartment of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. wfy_njmu@163.com.
Hao Hu
Guo-Yi Su
Hu Liu
Xun-Ning Hong
Hai-Bin Shi
Fei-Yun Wu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to evaluate the role of histogram analysis of apparent diffusion coefficient (ADC) maps for differentiating benign and malignant orbital tumors.

methodsFifty-two patients with orbital tumors were enrolled from March 2013 to November 2014. Pretreatment diffusion-weighted imaging was performed on a 3T magnetic resonance scanner with b factors of 0 and 800 s/mm2, and the corresponding ADC maps were generated. Whole-tumor regions of interest were drawn on all slices of the ADC maps to obtain histogram parameters, including ADCmean, ADCmedian, standard deviation (SD), skewness, kurtosis, quartile, ADC10, ADC25, ADC75, and ADC90. Histogram parameter differences between benign and malignant orbital tumors were compared. The diagnostic value of each significant parameter in predicting malignant tumors was established.

resultsAge, ADCmean, ADCmedian, quartile, kurtosis, ADC10, ADC25, ADC75, and ADC90 parameters were significantly different between benign and malignant orbital tumor groups, while gender, location, SD, and skewness were not significantly different. The best diagnostic performance in predicting malignant orbital tumors was achieved at the threshold of ADC10=0.990 (AUC, 0.997; sensitivity, 96.2%; specificity, 100%).

conclusionHistogram analysis of ADC maps holds promise for differentiating benign and malignant orbital tumors. ADC10 has the potential to be the most significant parameter for predicting malignant orbital tumors.

Indexed as

AdolescentAdultAgedAged, 80 and overDiagnosis, DifferentialDiffusion Magnetic Resonance ImagingFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedOrbital NeoplasmsOrbital PseudotumorRetrospective StudiesYoung Adult

Identifiers

PMID26829400
PMCPMC4790068

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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.