ArticleCancer management and research2019
Nomogram For The Prediction Of Malignancy In Small (8-20 mm) Indeterminate Solid Solitary Pulmonary Nodules In Chinese Populations.
Article in Cancer management and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 36 citations in OpenAlex.
- Incidence and risk factors for malignancy in patients with incidental solitary pulmonary nodules: a systematic review and meta-analysis.Annals of medicine · 2026Pooled it
- Lung cancer risk prediction models based on pulmonary nodules: A systematic review.Thoracic cancer · 2022Pooled it
- Solitary pulmonary nodule malignancy predictive models applicable to routine clinical practice: a systematic review.Systematic reviews · 2021Pooled it
- Low-dose versus standard-dose computed tomography-guided biopsy for pulmonary nodules: a randomized controlled trial.Journal of cardiothoracic surgery · 2023Trial
- The probability of lung cancer in patients with pulmonary nodules detected via low-dose computed tomography screening in China.BMC cancer · 2025Article
- CT radiomics based model for differentiating malignant and benign small (≤20mm) solid pulmonary nodules.Frontiers in oncology · 2025Article
- Non-malignant pathological results from CT-guided biopsy for pulmonary nodules: a predictive model for identifying false-negative results.Journal of cardiothoracic surgery · 2024Article
- Preoperative computed tomography-guided localization for pulmonary nodules: a randomized controlled trial of coil and anchored needle localization.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2024Article
- Expanding Role of Advanced Image Analysis in CT-detected Indeterminate Pulmonary Nodules and Early Lung Cancer Characterization.Radiology · 2023Review
- A strategy to reduce the false-positive rate after low-dose computed tomography in lung cancer screening: A multicenter prospective cohort study.Cancer medicine · 2023Article
- Preoperative lung nodule localization: comparison of hook-wire and indocyanine green.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2023Article
- Nomogram combining clinical and radiological characteristics for predicting the malignant probability of solitary pulmonary nodules measuring ≤ 2 cm.Frontiers in oncology · 2023Article
- Clinical-radiological predictive model in differential diagnosis of small (≤ 20 mm) solitary pulmonary nodules.BMC pulmonary medicine · 2021Article
- Developing of risk models for small solid and subsolid pulmonary nodules based on clinical and quantitative radiomics features.Journal of thoracic disease · 2021Article
- Clinical Analysis of Video-Assisted Thoracoscopic Surgery for Resection of Solitary Pulmonary Nodules and Influencing Factors in the Diagnosis of Benign and Malignant Nodules.Evidence-based complementary and alternative medicine : eCAM · 2021Article
- Predicting Lung Cancer Risk of Incidental Solid and Subsolid Pulmonary Nodules in Different Sizes.Cancer management and research · 2020Article
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study aimed to develop and validate a nomogram for predicting the malignancy of small (8-20 mm) solid indeterminate solitary pulmonary nodules (SPNs) in a Chinese population by using routine clinical and computed tomography data.
methodsThe prediction model was developed using a retrospective cohort that comprised 493 consecutive patients with small indeterminate SPNs who were treated between December 2012 and December 2016. The model was independently validated using a second retrospective cohort comprising 216 consecutive patients treated between January 2017 and May 2018. The investigated variables included patient characteristics (e.g., age and smoking history), nodule parameters (e.g., marginal spiculation and significant enhancement), and tumor biomarker levels (e.g., carcinoembryonic antigen). A prediction model was developed by using multivariable logistic regression analysis, and the model's performance was presented as a nomogram. The model was evaluated based on its discriminative ability, calibration, and clinical usefulness.
resultsThe developed nomogram was ultimately based on age, marginal spiculation, significant enhancement, and pleural indentation. The Harrell concordance index values were 0.869 in the training cohort (95% confidence interval: 0.837-0.901) and 0.847 in the validation cohort (95% confidence interval: 0.792-0.902). The Hosmer-Lemeshow test revealed good calibration in each of the training and validation cohorts. Decision curve analysis confirmed that the nomogram was clinically useful (risk threshold from 0.10 to 0.85).
conclusionPatient age, marginal spiculation, significant enhancement, and pleural indentation are independent predictors of malignancy in small indeterminate solid SPNs. The developed nomogram is easy-to-use and may allow the accurate prediction of malignancy in small indeterminate solid SPNs among Chinese patients.
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