Evidence map›Paper›PMID 22653422›Full record

ArticleGeneral thoracic and cardiovascular surgery2012

One-dimensional mean computed tomography value evaluation of ground-glass opacity on high-resolution images.

Akihiko Kitami, Yoshito Kamio, Shoko Hayashi, Kosuke Suzuki, Shugo Uematsu, Ryozo Gen, Takashi Suzuki, Mitsutaka Kadokura

Abstract read
In one paragraph

Article in General thoracic and cardiovascular surgery, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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

12 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. [Diagnosis and Treatment of Pulmonary Ground-glass Nodules].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2019
    Review
  9. Article
  10. Article
  11. Article
  12. Article
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.

Akihiko KitamiRespiratory Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan. akitami@med.showa-u.ac.jp
Yoshito Kamio
Shoko Hayashi
Kosuke Suzuki
Shugo Uematsu
Ryozo Gen
Takashi Suzuki
Mitsutaka Kadokura

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDifferentiation of atypical adenomatous hyperplasia (AAH), bronchioloalveolar carcinoma (BAC), and invasive carcinoma on computed tomography (CT) is useful for determining "follow-up or resection" strategies for lesions displaying ground-glass opacity (GGO). The purpose of this study is to evaluate one-dimensional quantitative CT values of GGO on high-resolution CT (HRCT) images using computer-aided diagnosis.

methodsBetween April 2001 and March 2010, a total of 44 nodules in 42 patients with pure or mixed GGOs ≤2 cm were retrospectively evaluated. Maximum diameter and one-dimensional mean CT (m-CT) value of the diameter were measured using a computer graphics support system (HOPE/DrABLE-EX, Fujitsu, Tokyo, Japan) that displays a CT density profile across the tumor.

resultsm-CT values were -682 ± 64 HU (range) for AAH lesions, -544 ± 179 (range) for Type A lesions, -496 ± 147 (range) for Type B lesions, and -371 ± 142 (range) for invasive lesions. AAH lesions had a significantly lower m-CT value than Type B lesions. AAH, Type A, and Type B lesions had significantly lower m-CT values than invasive lesions (p < 0.05). All seven GGO lesions with a maximum diameter ≤1 cm and m-CT value ≤-600 HU were pre-invasive lesions, while 16 of 22 (73 %) cases with maximum diameter >1 cm and m-CT value >-600 HU were invasive lesions.

conclusionObservation may be indicated for GGO lesions with a maximum diameter ≤1 cm and m-CT value ≤-600 HU.

Indexed as

Radiographic Image Interpretation, Computer-AssistedTomography, X-Ray ComputedAdenocarcinomaAdenocarcinoma, Bronchiolo-AlveolarAdenocarcinoma of LungAdenomaAdultAgedAged, 80 and overDiagnosis, DifferentialFemaleHumansHyperplasiaJapanLung NeoplasmsMale

Identifiers

PMID22653422
PMCPMC3388248

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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.