ArticleMedicine2017
Radiological prediction of tumor invasiveness of lung adenocarcinoma on thin-section CT.
Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
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Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- ACR Appropriateness Criteria® Indolent Lung Cancer.Journal of the American College of Radiology : JACR · 2026Guideline
- [Advance in Diagnose and Treatment Strategies of Adenocarcinoma in Situ].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2017Pooled it
- Clinicopathological and Prognostic Disparities in Part-Solid Versus Pure Solid Pulmonary Nodules as Early-Stage Lung Adenocarcinoma.Thoracic cancer · 2026Article
- Development of a model to predict high-risk histopathological features in early T-stage lung adenocarcinoma using thin-slice CT and FDG-PET/CT parameters for selecting optimal candidates for sub-lobar resection.Journal of thoracic disease · 2026Article
- Effect of respiratory phase on three-dimensional quantitative parameters of pulmonary subsolid nodules in low-dose computed tomography screening for lung cancer.Journal of thoracic disease · 2025Article
- A meta-learning-based robust federated learning for diagnosing lung adenocarcinoma and tuberculosis granulomas.Frontiers in oncology · 2025Article
- Correlation between Radiological Characteristics, PET-CT and Histological Subtypes of Primary Lung Adenocarcinoma-A 102 Case Series Analysis.Medicina (Kaunas, Lithuania) · 2024Article
- Construction and validation of a predictive model of invasive adenocarcinoma in pure ground-glass nodules less than 2 cm in diameter.BMC surgery · 2024Article
- The differential diagnosis of lung precursor glandular lesions, micro-invasive adenocarcinoma, and invasive adenocarcinoma using low dose spectral computed tomography perfusion imaging.Quantitative imaging in medicine and surgery · 2024Article
- Article
- Detection and treatment of lung adenocarcinoma at pre-/minimally invasive stage: is it lead-time bias?Journal of cancer research and clinical oncology · 2022Article
- Machine vision-assisted identification of the lung adenocarcinoma category and high-risk tumor area based on CT images.Patterns (New York, N.Y.) · 2022Article
- Adding predictive and diagnostic values of pulmonary ground-glass nodules on lung cancerFrontiers in medicine · 2022Review
- Discriminating invasive adenocarcinoma among lung pure ground-glass nodules: a multi-parameter prediction model.Journal of thoracic disease · 2021Article
- Predictors of Invasive Adenocarcinomas among Pure Ground-Glass Nodules Less Than 2 cm in Diameter.Cancers · 2021Article
- Radiological imaging and pathological findings of small lung adenocarcinoma: a narrative review.Journal of thoracic disease · 2021Review
- New T1 classification.General thoracic and cardiovascular surgery · 2020Review
- Article
- [Computed tomography findings, clinicopathological features, genetic characteristics and prognosis ofNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2019Article
- Changes in quantitative parameters of pulmonary nonsolid nodule induced by lung inflation according to paired inspiratory and expiratory computed tomography imaging.European radiology · 2019Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To evaluate thin-section computed tomography (CT) (TSCT) features that differentiate adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), and invasive adenocarcinoma (IVA), and to determine the size of solid portion on CT that correlates to pathological invasive components. Forty-eight patients were included. Nodules were classified into ground-glass nodule (GGN), part-solid, solid, and heterogeneous. Visual density of GGNs was subjectively evaluated using reference standard images: faint GGN (Ga), <-700 Hounsfield unit (HU); intermediate GGN (Gb), from -700 to -400 HU; dense GGN (Gc), >-400 HU; and mixed (Ga + Gb, Ga + Gc, and Gb + Gc). The evaluated TSCT findings included margin of nodule, distribution of solid portion, distribution of air bronchiologram, and pleural indentation. The longest diameters of the solid portion and the entire tumor were measured. Invasive diameters were measured in pathological specimens. Twenty-two AISs (16 GGNs [7 Ga, 5 Gb, 2 Gc, 1 Ga + Gc, 1 Gb + Gc], 4 part-solids, and 2 heterogeneous), 6 MIAs (1 GGN [Gb + Gc], 3 part-solids, and 2 solids), and 20 IVAs (1 GGN [Gb], 3 part-solids, and 16 solid) were found. The longest diameter (mean ± standard deviation) of the solid portion and total tumor were 9.7 ± 9.7 and 18.9 ± 5.6 mm, respectively. Significant differences in TSCT findings between AIS and IVA were margin of nodule (Pearson chi-squared test, P = 0.004), distribution of air bronchiologram (P = 0.0148), and pleural indentation (P = 0.0067). A solid portion >5.3 mm on TSCT indicated MIA or IVA, and >7.3 mm indicated IVA (receiver operating characteristic analysis, P < 0.0001). Irregular margin, air bronchiologram with disruption and/or irregular dilatation, and pleural indentation may distinguish IVA from AIS. A 5.3 to 7.3 mm solid portion on TSCT indicates MIA/IVA, and a solid portion >7.3 mm on TSCT indicates IVA.
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