Evidence map›Paper›PMID 35116234›Full record

ArticleTranslational cancer research2021

Clinical value of energy spectrum curves of dual-energy computer tomography may help to predict pathological grading of gastric adenocarcinoma.

Zhihua Lu, Suying Wu, Chuan Yan, Jianwei Chen, Yueming Li

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Article in Translational cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
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7citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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7 citing papers in PubMed.

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  2. A new digital biomarker ofFrontiers in cell and developmental biology · 2025
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zhihua Lu *Department of Radiology, Putian First Hospital of Fujian Province, Putian, China.
Suying Wu *Department of Radiology, Putian First Hospital of Fujian Province, Putian, China.
Chuan YanDepartment of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Jianwei ChenDepartment of Radiology, Fujian Cancer Hospital, Fuzhou, China.
Yueming LiDepartment of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo explore the clinical value of energy spectrum curves of dual-energy computer tomography (CT) in quantitative evaluation of different pathological grades of gastric adenocarcinoma.

methodsA total of 62 patients with 36 poorly, 25 moderately and 1 well differentiated gastric adenocarcinomas confirmed pathologically were collected. Dual-energy CT plain and enhanced scanning were undergone before operation. Dual-Energy software was used to measure the slope of the energy spectrum curves (λ) in arterial and venous phases (VPs) after image reconstruction. Patients were divided into two groups according to the pathological results, including well and moderately differentiated gastric adenocarcinoma group and poorly differentiated gastric adenocarcinoma group. Data of each group were analyzed by independent sample t-test. Receiver operating characteristic curve (ROC) was used to evaluate the diagnostic efficiency of the corresponding parameters.

resultsThere were significant differences in λ values of 40-50, 40-60, 40-80, 40-90, 40-100, 40-120, 40-130, 40-140 and 40-150 keV energy ranges in VP between the well and moderately differentiated group and poorly differentiated group (P<0.05), but no significant differences in λ values of different energy ranges in arterial phase (AP) between the two groups (P>0.05). And the area under curve in 40-120 keV energy range was the largest in VP. λ

conclusionsThe energy spectrum curve of dual-energy CT had certain diagnostic value in the quantitative evaluation of pathological grading of gastric adenocarcinoma.

Indexed as

Computer tomography (CT)dual energyenergy spectrum curvegastric adenocarcinomapathology

Identifiers

PMID35116234
PMCPMC8797754

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