Evidence map›Paper›PMID 28231320›Full record

ArticlePloS one2017

Improved image quality and diagnostic potential using ultra-high-resolution computed tomography of the lung with small scan FOV: A prospective study.

Huiyuan Zhu, Lian Zhang, Yali Wang, Preeti Hamal, Xiaofang You, Haixia Mao, Fei Li, Xiwen Sun

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Huiyuan ZhuDepartment of Radiology, Pulmonary Hospital Affiliated to Tongji University, Shanghai, China.
Lian ZhangDepartment of Radiology, Pulmonary Hospital Affiliated to Tongji University, Shanghai, China.
Yali WangDepartment of Radiology, Pulmonary Hospital Affiliated to Tongji University, Shanghai, China.
Preeti HamalDepartment of Radiology, Pulmonary Hospital Affiliated to Tongji University, Shanghai, China.
Xiaofang YouDepartment of Radiology, Pulmonary Hospital Affiliated to Tongji University, Shanghai, China.
Haixia MaoDepartment of Radiology, Pulmonary Hospital Affiliated to Tongji University, Shanghai, China.
Fei LiDepartment of Radiology, Jiading Hospital of Traditional Chinese Medicine, Shanghai, China.
Xiwen SunDepartment of Radiology, Pulmonary Hospital Affiliated to Tongji University, Shanghai, China.
Shanghai Pulmonary Hospital · CNShanghai Traditional Chinese Medicine Hospital · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to assess whether CT imaging using an ultra-high-resolution CT (UHRCT) scan with a small scan field of view (FOV) provides higher image quality and helps to reduce the follow-up period compared with a conventional high-resolution CT (CHRCT) scan. We identified patients with at least one pulmonary nodule at our hospital from July 2015 to November 2015. CHRCT and UHRCT scans were conducted in all enrolled patients. Three experienced radiologists evaluated the image quality using a 5-point score and made diagnoses. The paired images were displayed side by side in a random manner and annotations of scan information were removed. The following parameters including image quality, diagnostic confidence of radiologists, follow-up recommendations and diagnostic accuracy were assessed. A total of 52 patients (62 nodules) were included in this study. UHRCT scan provides a better image quality regarding the margin of nodules and solid internal component compared to that of CHRCT (P < 0.05). Readers have higher diagnostic confidence based on the UHRCT images than of CHRCT images (P<0.05). The follow-up recommendations were significantly different between UHRCT and CHRCT images (P<0.05). Compared with the surgical pathological findings, UHRCT had a relative higher diagnostic accuracy than CHRCT (P > 0.05). These findings suggest that the UHRCT prototype scanner provides a better image quality of subsolid nodules compared to CHRCT and contributes significantly to reduce the patients' follow-up period.

Indexed as

AdultAgedAlgorithmsFemaleHumansImage Processing, Computer-AssistedLungLung NeoplasmsMaleMiddle AgedProspective StudiesRadiographic Image Interpretation, Computer-AssistedTomography, X-Ray Computed

Identifiers

PMID28231320
PMCPMC5322956
OpenAlexW2591096408

What OpenQuestion holds

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Registered trials

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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.