Radiomics technology for identifying early-stage lung adenocarcinomas suitable for sublobar resection

Yoshiyasu, Nobuyuki; Kojima, Fumio; Hayashi, Kuniyoshi; Bando, Toru

doi:10.1016/j.jtcvs.2020.05.009

Cited by 17 publications

(31 citation statements)

References 20 publications

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“…The first-order histogram features quantify the density characteristics at the voxel level, which is helpful for the objective assessment of subtle changes in lung cancer [27]. Skewness and range, as typical first order statistics generated from the histogram, have been shown to demonstrate good performance in differentiating between IAs and AISs/MIAs [28], even in pGGNs [29]. Some studies have provided evidence that texture analysis can be used as a non-invasive method to quantify heterogeneity [30].…”

Section: Discussionmentioning

confidence: 99%

Use of CT radiomics to differentiate minimally invasive adenocarcinomas and invasive adenocarcinomas presenting as pure ground-glass nodules larger than 10 mm

Xiong

Jiang

Che

et al. 2021

European Journal of Radiology

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This study aimed to develop a model based on radiomics features extracted from computed tomography (CT) images to effectively differentiate between minimally invasive adenocarcinomas (MIAs) and invasive adenocarcinomas (IAs) manifesting as pure ground-glass nodules (pGGNs) larger than 10 mm. Method: This retrospective study included patients who underwent surgical resection for persistent pGGN between November 2012 and June 2018 and diagnosed with MIAs or IAs. The patients were randomly assigned to the training and test cohorts. The correlation coefficient method and the least absolute shrinkage and selection operator (LASSO) method were applied to select radiomics features useful for constructing a model whose performance was assessed by the area under the receiver operating characteristic curve (AUC-ROC). The radiomics model was compared to a standard CT model (shape, volume and mean CT value of the largest crosssection) and the combined radiomics-standard CT model using univariate and multivariate logistic regression analysis.Results: The radiomics model showed better discriminative ability (training AUC, 0.879; test AUC, 0.877) than the standard CT model (training AUC, 0.820; test AUC, 0.828). The combined model (training AUC, 0.879; test AUC, 0.870) did not demonstrate improved performance compared with the radiomics model. Radiomics_score was an independent predictor of invasiveness following multivariate logistic analysis. Conclusions: For pGGNs larger than 10 mm, the radiomics model demonstrated superior diagnostic performance in differentiating between IAs and MIAs, which may be useful to clinicians for diagnosis and treatment selection.

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Section: Discussionmentioning

confidence: 99%

Use of CT radiomics to differentiate minimally invasive adenocarcinomas and invasive adenocarcinomas presenting as pure ground-glass nodules larger than 10 mm

Xiong

Jiang

Che

et al. 2021

European Journal of Radiology

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“…A previous study (27) used 3D evaluations on CT images to predict the pathological LNM and tumor invasiveness of cT1N0M0 lung AC and found that solid tumor size was positively correlated with pathological invasiveness. However, the measurement of solid tumor size differed using different software and among the different observers (28,29). 18 F-FDG PET-CT integrates anatomical and metabolic information and is currently the primary tool for staging NSCLC (30), and previous studies have demonstrated that SUV max was related to VPI, LVI, and LNM.…”

Section: Discussionmentioning

confidence: 99%

Risk analysis in peripheral clinical T1 non-small cell lung cancer correlations between tumor-to-blood standardized uptake ratio on 18F-FDG PET-CT and primary tumor pathological invasiveness: a real-world observational study

Li¹,

Shi²,

Niu³

et al. 2022

Quant Imaging Med Surg

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Background: Sublobar resection is not suitable for patients with pathological invasiveness [including lymph node metastasis (LNM), visceral pleural invasion (VPI), and lymphovascular invasion (LVI)] of peripheral clinical T1 (cT1) non-small-cell lung cancer (NSCLC), while primary tumor maximum standardized uptake value (SUV max ) on 18 F-FDG PET-CT is related to pathological invasiveness, the significance differed among different institutions is still challenging. This study explored the relationship between the tumor-to-blood standardized uptake ratio (SUR) of 18 F-FDG PET-CT and primary tumor pathological invasiveness in peripheral cT1 NSCLC patients.Methods: This retrospective study included 174 patients with suspected lung neoplasms who underwent preoperative 18 F-FDG PET-CT. We compared the differences of the clinicopathological variables, metabolic and morphological parameters in the pathological invasiveness and less-invasiveness group. We performed a trend test for these parameters based on the tertiles of SUR. The relationship between SUR and pathological invasiveness was evaluated by univariate and multivariate logistics regression models (included unadjusted, simple adjusted, and fully adjusted models), odds ratios (ORs), and 95% confidence intervals (95% CIs) were calculated. A smooth fitting curve between SUR and pathological invasiveness was produced by the generalized additive model (GAM).Results: Thirty-eight point five percent of patients had pathological invasiveness and tended to have a higher SUR value than the less-invasiveness group [6.50 (4.82-11.16) vs. 4.12 (2.04-6.61), P<0.001]. The trend of SUV max , mean standardized uptake value (SUV mean ), metabolic tumor volume (MTV), total lesion glycolysis (TLG), mean CT value (CT mean ), size of the primary tumor, neuron-specific enolase (NSE), the incidence of LNM, adenocarcinoma (AC), and poor differentiation in the tertiles of SUR value were statistically significant (P were <0.

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“…In this issue of the Journal, Yoshiyasu and colleagues 1 report that a radiomics technique was effective in identifying less-invasive adenocarcinomas that may be suitable for sublobar resection. In a cohort of 212 resected lung adenocarcinomas, their quantitative imaging analysis and CART (classification and regression tree) model was highly accurate in predicting which lesions were less invasive (either adenocarcinoma in situ or minimally invasive adenocarcinoma rather than invasive).…”

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confidence: 99%

Commentary: Through the looking glass—radiomics and evaluation of early lung cancer

Muniappan

2021

The Journal of Thoracic and Cardiovascular Surgery

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Radiomics technology for identifying early-stage lung adenocarcinomas suitable for sublobar resection

Cited by 17 publications

References 20 publications

Use of CT radiomics to differentiate minimally invasive adenocarcinomas and invasive adenocarcinomas presenting as pure ground-glass nodules larger than 10 mm

Use of CT radiomics to differentiate minimally invasive adenocarcinomas and invasive adenocarcinomas presenting as pure ground-glass nodules larger than 10 mm

Risk analysis in peripheral clinical T1 non-small cell lung cancer correlations between tumor-to-blood standardized uptake ratio on 18F-FDG PET-CT and primary tumor pathological invasiveness: a real-world observational study

Commentary: Through the looking glass—radiomics and evaluation of early lung cancer

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Radiomics technology for identifying early-stage lung adenocarcinomas suitable for sublobar resection

Cited by 17 publications

References 20 publications

Use of CT radiomics to differentiate minimally invasive adenocarcinomas and invasive adenocarcinomas presenting as pure ground-glass nodules larger than 10 mm

Use of CT radiomics to differentiate minimally invasive adenocarcinomas and invasive adenocarcinomas presenting as pure ground-glass nodules larger than 10 mm

Risk analysis in peripheral clinical T1 non-small cell lung cancer correlations between tumor-to-blood standardized uptake ratio on 18F-FDG PET-CT and primary tumor pathological invasiveness: a real-world observational study

Commentary: Through the looking glass—radiomics and evaluation of early lung cancer

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Use of CT radiomics to differentiate minimally invasive adenocarcinomas and invasive adenocarcinomas presenting as pure ground-glass nodules larger than 10 mm

Use of CT radiomics to differentiate minimally invasive adenocarcinomas and invasive adenocarcinomas presenting as pure ground-glass nodules larger than 10 mm