ArticleJournal of thoracic disease2019
Interobserver size measurement variability in part-solid lung adenocarcinoma using pre-operative computed tomography.
Article in Journal of thoracic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Deep learning-based computed tomography quantification integrated with circulating tumor cells for prognostic evaluation in stage I lung adenocarcinoma.Quantitative imaging in medicine and surgery · 2026Article
- Pembrolizumab versus pembrolizumab plus chemotherapy in patients with PDL1 ⩾50% advanced non-small-cell lung cancer, depending on tumor aggressiveness and clinical impact.Therapeutic advances in medical oncology · 2025Article
- Radiologic Parameters Predicting the Histologic Invasiveness of Pure Ground-Glass Nodules.Annals of thoracic surgery short reports · 2024Article
- Measurement of solid size in early-stage lung adenocarcinoma by virtual 3D thin-section CT applied artificial intelligence.Scientific reports · 2023Article
- Prognostic impact of deep learning-based quantification in clinical stage 0-I lung adenocarcinoma.European radiology · 2023Article
- Article
- Eighth edition T category is prognostic: the size of the solid component matters, not the ratio.Journal of thoracic disease · 2020Article
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Abstract
backgroundIn the current lung cancer tumor-node-metastasis classification, solid tumor size is used for tumor diameter measurement as the dense component. However, measuring solid tumor size is sometimes difficult and inter-observer variability may increase, particularly in part-solid nodules with ground-glass opacity (GGO). This study aimed to investigate inter-observer size measurement variability in lung adenocarcinoma.
methodsOf 47 patients with part-solid lung adenocarcinoma who had undergone surgery at our department from January to December 2016, five surgeons and one radiologist undertook unidimensional solid and total size tumor measurements using pre-operative axial computed tomography images, and we assessed inter-observer size measurement variability. Variability was then subclassified into five groups, according to computer tomography-identified tumor morphological characteristics, namely: (I) minimally invasive; (II) peribronchovascular; (III) spiculation/atelectasis; (IV) adjacent to cystic lesion, and; (V) diffuse consolidation and GGO.
resultsThe mean inter-observer variability was 9.7 mm (solid size) and 7.7 mm (total size). Analysis of the maximum and minimum measurement size values for each patient undertaken showed that the most experienced surgeon and the radiologist measured the minimum size more frequently. To correct for differences in mean tumor diameter in each group, a comparison was made using a coefficient of variation (CV) calculated as the ratio of the standard deviation to the mean. Group I characteristics showed the largest coefficient value for variation in solid size measurement.
conclusionsInter-observer measurement variability for solid size was larger than for total size in lung adenocarcinoma. Large variability in group I indicated the difficulty of size measurement for low-grade malignant potential nodules such as adenocarcinoma in situ, minimally invasive adenocarcinoma, and early-stage invasive adenocarcinoma. The possibility of unavoidable size measurement variability should be recognized when deciding on surgical procedures for these diseases.
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