Evidence map›Paper›PMID 30903336›Full record

ArticleEuropean radiology2019

Morphological classification of pre-invasive lesions and early-stage lung adenocarcinoma based on CT images.

Feng Gao, Ming Li, Ziwei Zhang, Li Xiao, Guozhen Zhang, Xiangpeng Zheng, Yanqing Hua, Jianying Li

Abstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Prognostic Impact of the Angiogenic GeneFrontiers in oncology · 2022
    Article
  9. Article
  10. 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.

Feng GaoDepartment of Radiology, Huadong Hospital Fudan University, Shanghai, 200040, China.
Ming LiDepartment of Radiology, Huadong Hospital Fudan University, Shanghai, 200040, China. minli77@163.com.
Ziwei ZhangDepartment of Radiology, Duke University Medical Center, Durham, NC, USA.
Li XiaoDepartment of Pathology, Huadong Hospital Fudan University, Shanghai, 200040, China.
Guozhen ZhangDepartment of Radiology, Huadong Hospital Fudan University, Shanghai, 200040, China.
Xiangpeng ZhengDiagnostic and Treatment Center of Small Lung Nodules, Huadong Hospital Fudan University, 221#, West Yanan Road, Shanghai, 200040, China.
Yanqing HuaDepartment of Radiology, Huadong Hospital Fudan University, Shanghai, 200040, China.
Jianying LiCT Research Center, GE Healthcare China, Shanghai, 200040, China.

Funding

Medical Imaging Key Program of Wise Healthcare Technology 120, Health Commision of Shanghai 2018ZHYL0103Research Programe of Shanghai Hospital Development Center SHDC22015025
6 · The paper itself

Abstract

objectiveTo retrospectively analyze the computed tomography (CT) features in patients with pre-invasive lesions and early-stage lung adenocarcinoma and to explore the correlation between tumor morphological changes and pathological diagnoses. MATERIALS AND

methodsCT morphological characteristics in 2106 patients with pre-invasive (stage 0) and early-stage (stage I) lung adenocarcinoma were analyzed; lesions were confirmed by surgical pathology. Based on the morphological characteristics, the lesions were divided into eight types: I (cotton ball, ground-glass nodules), II (solid fill), III (granular), IV (dendriform), V (bubble-like lucencies), VI (alveolate or honeycomb), VII (scar-like), and VIII (notched or umbilication). The different distributions of eight morphological types in pathological types of the lesions and subtypes of invasive adenocarcinoma were analyzed by chi-squared or Fisher's exact test. Correlation between the percentage of ground-glass opacity in the lesions and pathology types were analyzed by two-tailed Pearson's test.

resultsA negative correlation was observed between the pathological types and proportion of ground-glass component in the lesions (p < 0.001 and r = - 0.583). Significant differences in morphological characteristics among various pathological types of pre-invasive lesions and early lung adenocarcinomas were observed (p < 0.05). Furthermore, among the different pathological subtypes of stage I invasive adenocarcinoma, the differences in their manifestation as morphological types I, II, III, and VI were statistically significant (p < 0.05).

conclusionThe eight types of morphological classification of pre-invasive lesions and early-stage (stage 0 or stage I) lung adenocarcinoma has different pathological bases, and morphological classification may be useful for the diagnosis and differential diagnosis of lung adenocarcinoma. KEY POINTS: • CT morphological classification of pre-invasive lesions and lung adenocarcinoma is intuitive. • CT morphological classification characterizes morphological changes of the entire lesion. • Different pathological types of lung adenocarcinoma have different morphological features.

Indexed as

Adenocarcinoma of LungAdultAgedAged, 80 and overDiagnosis, DifferentialFemaleHumansLung NeoplasmsMaleMiddle AgedNeoplasm InvasivenessNeoplasm StagingRetrospective StudiesTomography, X-Ray ComputedYoung AdultComputed tomographyLung adenocarcinomaMorphological

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.