Evidence map›Paper›PMID 28585375›Full record

ArticleThoracic cancer2017

Intra-observer and inter-observer agreements for the measurement of dual-input whole tumor computed tomography perfusion in patients with lung cancer: Influences of the size and inner-air density of tumors.

Qingle Wang, Zhiyong Zhang, Fei Shan, Yuxin Shi, Wei Xing, Liangrong Shi, Xingwei Zhang

Abstract read
In one paragraph

Article in Thoracic cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

3 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.

Qingle WangDepartment of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Zhiyong ZhangDepartment of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Fei ShanShanghai Institute of Medical Imaging, Shanghai, China.
Yuxin ShiShanghai Institute of Medical Imaging, Shanghai, China.
Wei XingDepartment of Radiology, Third Affiliated Hospital of Suzhou University, Suzhou, China.
Liangrong ShiDepartment of Oncology, Third Affiliated Hospital of Suzhou University, Suzhou, China.
Xingwei ZhangDepartment of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study was conducted to assess intra-observer and inter-observer agreements for the measurement of dual-input whole tumor computed tomography perfusion (DCTP) in patients with lung cancer.

methodsA total of 88 patients who had undergone DCTP, which had proved a diagnosis of primary lung cancer, were divided into two groups: (i) nodules (diameter ≤3 cm) and masses (diameter >3 cm) by size, and (ii) tumors with and without air density. Pulmonary flow, bronchial flow, and pulmonary index were measured in each group. Intra-observer and inter-observer agreements for measurement were assessed using intraclass correlation coefficient, within-subject coefficient of variation, and Bland-Altman analysis.

resultsIn all lung cancers, the reproducibility coefficient for intra-observer agreement (range 26.1-38.3%) was superior to inter-observer agreement (range 38.1-81.2%). Further analysis revealed lower agreements for nodules compared to masses. Additionally, inner-air density reduced both agreements for lung cancer.

conclusionThe intra-observer agreement for measuring lung cancer DCTP was satisfied, while the inter-observer agreement was limited. The effects of tumoral size and inner-air density to agreements, especially between two observers, should be emphasized. In future, an automatic computer-aided segment of perfusion value of the tumor should be developed.

Indexed as

AdultAgedAged, 80 and overFemaleHumansLung NeoplasmsMaleMiddle AgedObserver VariationPerfusion ImagingReproducibility of ResultsTomography, X-Ray ComputedTumor BurdenCT perfusiondual-blood supplylung cancerobserver variation

Identifiers

PMID28585375
PMCPMC5582470

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