Exploring the variability of radiomic features of lung cancer lesions on unenhanced and contrast-enhanced chest CT imaging

Tamponi, Matteo; Crivelli, Paola; Montella, R; Sanna, Fabrizio; Gabriele, Domenico; Poggiu, A.; Sanna, E.; Marini, Piergiorgio; Meloni, Giovanni Battista; Sverzellati, Nicola; Conti, Maurizio

doi:10.1016/j.ejmp.2021.02.014

Cited by 11 publications

(10 citation statements)

References 39 publications

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“…The scanning time of each frame was about 19 S. after the injection of contrast agent, 20 ml normal saline was injected at the same flow rate. Axial enhanced T1WI lipid suppression sequence scanning was performed immediately after dynamic enhancement scanning [ 14 ]. The observation sites include lower radioulnar joint, radiocarpal joint, intercarpal joint, carpometacarpal joint, interphalangeal joint and synovium, cartilage, bone and tendon of corresponding parts.…”

Section: Methodsmentioning

confidence: 99%

[Retracted] Application of Dynamic Contrast‐Enhanced MRI in the Diagnosis of Rheumatoid Arthritis

Zhang

Xiao

Zhou

et al. 2022

Contrast Media & Molecular Imaging

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In order to solve the application problem of dynamic contrast-enhanced MRI in the diagnosis of rheumatoid arthritis, this paper proposes application research based on dynamic contrast-enhanced MRI in the staging diagnosis of rheumatoid arthritis. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has a high value in evaluating the activity of patients with early rheumatoid arthritis (RA). This paper discusses the correlation between hemodynamic parameters and omeractramris score, clinical laboratory indexes, and activity score (DAS28), analyzes its feasibility in evaluating the prognosis of RA, and provides a reliable basis for the rational formulation of an early RA treatment plan. After reviewing the previous cases, 33 patients with subclinical synovitis of RA were selected for wrist joint contrast-enhanced ultrasonography. The data were analyzed by contrast-enhanced software, and the quantitative parameters of contrast-enhanced were obtained: start development time (AT), peak time (TTP), peak intensity (PI), grad gradient, and area under the curve (AUC). The synovial blood supply was classified by CEUS, and the CEUS blood supply classification and power Doppler (PDUS) blood supply classification were compared. The results of regression analysis showed that AUC (or = 1.026, 95% CI: 1.001–1.052) and PI (or = 1.561, 95% CI: 1.019–2.393) were independent risk factors for predicting the aggravation of the disease. The diagnostic efficacy of AUC and PI in predicting the aggravation of the disease was analyzed. The areas under the ROC curve of AUC and PI were 0.935 and 0.927, respectively, and the difference between them was not statistically significant.

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Section: Methodsmentioning

confidence: 99%

[Retracted] Application of Dynamic Contrast‐Enhanced MRI in the Diagnosis of Rheumatoid Arthritis

Zhang

Xiao

Zhou

et al. 2022

Contrast Media & Molecular Imaging

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“…Both unenhanced and contrast-enhanced CT scans have been used in radiomics studies ( 36 , 37 ). Although radiomic features were sensitive to contrast medium, which could mask the lesions intrinsic variability in patients with esophageal and esophago-gastric cancer, contrast-enhanced CT remains the most common step performed first in stage due to the high prevalence of metastatic disease ( 38 ).…”

Section: Discussionmentioning

confidence: 99%

Prognostic and incremental value of computed tomography-based radiomics from tumor and nodal regions in esophageal squamous cell carcinoma

Cao¹,

Mi²,

Dai³

et al. 2022

Chinese Journal of Cancer Research

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Objective This study aimed to evaluate the prognostic value of preoperative radiomics and establish an integrated model for esophageal squamous cell cancer (ESCC). Methods A total of 931 patients were retrospectively enrolled in this study (training cohort, n=624; validation cohort, n=307). Radiomics features were obtained by contrast-enhanced computed tomography (CT) before esophagectomy. A radiomics index was set based on features of tumor and reginal lymph nodes by using the least absolute shrinkage and selection operator (LASSO) Cox regression. Prognostic nomogram was built based on radiomics index and other independent risk factors. The prognostic value was assessed by using Harrell’s concordance index, time-dependent receiver operating characteristics and Kaplan-Meier curves. Results Twelve radiomic features from tumor and lymph node regions were identified to build a radiomics index, which was significantly associated with overall survival (OS) in both training cohort and validation cohort. The radiomics index was highly correlated with clinical tumor-node-metastasis (cTNM) and pathologic TNM (pTNM) stages, but it demonstrated a better prognostic value compared with cTNM stage and was almost comparable with pTNM stage. Multivariable Cox regression showed that the radiomics index was an independent prognostic factor. An integrated model was constructed based on gender, preoperative serum sodium concentration, pTNM and the radiomics index for clinical usefulness. The integrated model demonstrated discriminatory ability better compared with the traditional clinical-pathologic model and pTNM alone, indicating incremental value for prognosis. Conclusions CT-based radiomics for primary tumor and reginal lymph nodes was sufficient in predicting OS for patients with ESCC. The integrated model demonstrated incremental value for prognosis and was robust for clinical applications.

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“…CECT scan is a commonly used auxiliary examination method in clinical diagnosis and treatment. The results of several studies have shown that the radiomics characteristics of tumors are altered after the uptake of contrast agents, particularly first-order histogram features and textural features ( 30 – 32 ). Several studies compared CECT-based radiomics with NCECT-based radiomics and came to different conclusions.…”

Section: Discussionmentioning

confidence: 99%

The adding value of contrast-enhanced CT radiomics: Differentiating tuberculosis from non-tuberculous infectious lesions presenting as solid pulmonary nodules or masses

Zhao

Xiong

Tian

et al. 2022

Front. Public Health

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PurposeTo compare the value of contrast-enhanced CT (CECT) and non-contrast-enhanced CT (NCECT) radiomics models in differentiating tuberculosis (TB) from non-tuberculous infectious lesions (NTIL) presenting as solid pulmonary nodules or masses, and develop a combine radiomics model (RM).Materials and methodsThis study was a retrospective analysis of 101 lesions in 95 patients, including 49 lesions (from 45 patients) in the TB group and 52 lesions (from 50 patients) in the NTIL group. Lesions were randomly divided into training and test sets in the ratio of 7:3. Conventional imaging features were used to construct a conventional imaging model (IM). Radiomics features screening and NCECT or CECT RM construction were carried out by correlation analysis and gradient boosting decision tree, and logistic regression. Finally, conventional IM, NCECT RM, and CECT RM were used for combine RM construction. Additionally, we recruited three radiologists for independent diagnosis. The differential diagnostic performance of each model was assessed using the areas under the receiver operating characteristic curve (AUCs).ResultsThe CECT RM (training AUC, 0.874; test AUC, 0.796) outperformed the conventional IM (training AUC, 0.792; test AUC, 0.708), the NCECT RM (training AUC, 0.835; test AUC, 0.704), and three radiologists. The diagnostic efficacy of the combine RM (training AUC, 0.922; test AUC, 0.833) was best in the training and test sets.ConclusionsThe diagnostic efficacy of the CECT RM was superior to that of the NCECT RM in identifying TB from NTIL presenting as solid pulmonary nodules or masses. The combine RM had the best performance and may outperform expert radiologists.

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Exploring the variability of radiomic features of lung cancer lesions on unenhanced and contrast-enhanced chest CT imaging

Cited by 11 publications

References 39 publications

[Retracted] Application of Dynamic Contrast‐Enhanced MRI in the Diagnosis of Rheumatoid Arthritis

[Retracted] Application of Dynamic Contrast‐Enhanced MRI in the Diagnosis of Rheumatoid Arthritis

Prognostic and incremental value of computed tomography-based radiomics from tumor and nodal regions in esophageal squamous cell carcinoma

The adding value of contrast-enhanced CT radiomics: Differentiating tuberculosis from non-tuberculous infectious lesions presenting as solid pulmonary nodules or masses

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