Evidence map›Paper›PMID 31559171›Full record

ArticleQuantitative imaging in medicine and surgery2019

Application value of dual-energy computed tomography spectrum curve combined with clinical risk factors in predicting adherent perinephric fat.

Guan Li, Wei Huang, Qinmei Xu, Jie Dong, Zhiqiang Cao, Di Wang, Mingyu Zou, Guangming Lu

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Article in Quantitative imaging in medicine and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Guan LiDepartment of Radiology, Jinling Hospital, Nanjing Medical University, Nanjing 210002, China.
Wei HuangDepartment of Radiology, Jinling Hospital, Nanjing Medical University, Nanjing 210002, China.
Qinmei XuDepartment of Radiology, Jinling Hospital, Nanjing Medical University, Nanjing 210002, China.
Jie DongDepartment of Urology, Jinling Hospital, Nanjing Medical University, Nanjing 210002, China.
Zhiqiang CaoDepartment of Urology, General Hospital of Northern Theater Command, Shenyang 110016, China.
Di WangDepartment of Pathology, General Hospital of Northern Theater Command, Shenyang 110016, China.
Mingyu ZouDepartment of Radiology, General Hospital of Northern Theater Command, Shenyang 110016, China.
Guangming LuDepartment of Radiology, Jinling Hospital, Nanjing Medical University, Nanjing 210002, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdherent perinephric fat (APF) is evaluated preoperatively with the Mayo adhesive probability (MAP) scoring system using conventional single form computed tomography (CT) images. An objective or quantitative indicator for predicting APF is urgently needed for clinical application.

methodsData obtained from 150 renal tumor patients with partial nephrectomy (PN) were used in the present study. Patients were divided into two groups based on the surgical results: an APF group (n=100) and a non-APF group (n=50). All patients had renal contrast-enhanced dual-energy CT (DECT) scan, and the data were brought into a post-processing workstation. Monoenergetic plus mode was adopted to analyze the spectrum curve of the region of interest (ROI). Logistic stepwise relapse investigation was utilized to analyze the related risk factors. The maximum Youden index was taken as the cut-off value. The sensitivity, specificity, accuracy, and 95% CI of the model were calculated.

resultsAPF is related to patients' clinical characteristics of age, gender, BMI, smoking, tumor diameter, exophytic, and benign or malignant nature of the renal masses (P<0.05). The shape of the curve of ROI

conclusionsThe DECT spectrum curve performed well in predicting APF, and the curve slope K can be used as an objective quantitative indicator.

Indexed as

adherent perinephric fat (APF)Dual-energy computed tomography (DECT)partial nephrectomy (PN)spectrum curve

Identifiers

PMID31559171
PMCPMC6732060

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