The application of dual-layer spectral detector computed tomography in solitary pulmonary nodule identification

Wen, Qingyun; Yue, Yong; Shang, Jin; Lü, Xiaomei; Gao, Lu; Hou, Yang

doi:10.21037/qims-20-2

Cited by 23 publications

(24 citation statements)

References 35 publications

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“…In this study, the safety and effect of transbronchial RP-EBUS-guided cryobiopsy were investigated in comparison with CT imaging in diagnosing DPLDs, and it was found that transbronchial RP-EBUS-guided cryobiopsy was safe On CT imaging, DPLDs may be nodular, mesh, and alveolar in bilateral lungs (17). However, these patterns of pulmonary imaging may represent different diseases, such as pulmonary carcinoma, tuberculosis, or groundglass nodules of glucose metabolism (18,19). Thus, the clinicoradiological approach based on imaging features and clinical data could not reach a correct diagnosis in 9 (15%) patients although most patients (n=51, 85%) were correctly diagnosed in our study.…”

Section: Discussionmentioning

confidence: 99%

Diagnosis of diffuse parenchymal lung diseases using transbronchial cryobiopsy guided by endobronchial ultrasound compared to clinicoradiological diagnosis

Li¹,

Pan²,

Ma³

et al. 2022

Quant Imaging Med Surg

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Background: This study aimed to evaluate the safety and effect of transbronchial cryobiopsy guided by radial probe endobronchial ultrasound (RP-EBUS) compared with clinicoradiological diagnoses in diffuse parenchymal lung diseases (DPLDs).Methods: A total of 60 patients with DPLDs confirmed by chest computed tomography (CT) who underwent transbronchial lung cryobiopsy guided by RP-EBUS were enrolled. The ultrasound images were obtained and identified together with corresponding chest CT characteristics. The cryobiopsy samples were evaluated histopathologically and compared with CT imaging, and the complications were analyzed. Results:The multidisciplinary diagnosis was clear in 51 (85%) participants but unclear in the remaining 9 (15%) participants. In transbronchial cryobiopsy guided by RP-EBUS, 36 (60%) participants had the biopsy in 1 lobe while 24 (40%) had a biopsy in 2 different lobes, with a mean biopsy specimen size of 43.17±15.25 mm 2 . The histopathologic diagnosis based on biopsy confirmed the preprocedural clinicoradiological diagnosis in 51 (85%) patients and clarified the diagnosis in the other 9 patients with unclear clinicoradiological diagnosis, including alveolated lung parenchyma with interstitial chronic inflammation in 4 (6.7%) cases and chronic bronchiolitis and interstitial lymphocytic infiltrates in the other 5 (8.3%). Intraprocedural complications occurred in 57 (95%) patients, including pneumothorax in 9 (15%), bleeding in 47 (78.3%), and hypoxemia in 1 (1.7%). The ultrasound images of DPLDs were normal, mesh (n=24), nodular (n=9), and alveolar type (n=27).Conclusions: Transbronchial cryobiopsy guided by RP-EBUS is safe and effective and can supply additional information to the clinicoradiological approach for correct diagnosis of DPLDs.

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Section: Discussionmentioning

confidence: 99%

Diagnosis of diffuse parenchymal lung diseases using transbronchial cryobiopsy guided by endobronchial ultrasound compared to clinicoradiological diagnosis

Li¹,

Pan²,

Ma³

et al. 2022

Quant Imaging Med Surg

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“…Several studies suggested that the use of contrast-enhanced SDCT improves correct characterization of a lesion 10 21 22 23 . Most recently, two studies found dual-energy CT parameters including iodine concentration to be useful for the identification of pulmonary nodules regarding primary lung cancer and pulmonary metastasis in thyroid cancer 24 25 . Moreover, iodine concentration was found to be a useful marker for vascularization in treatment response assessment in lung cancer 8 26 , renal cell cancer 27 , hepatocellular carcinoma 9 28 , and gastrointestinal stroma tumor 29 .…”

Section: Discussionmentioning

confidence: 99%

Dual-Layer Spectral Detector CT in Comparison with FDG-PET/CT for the Assessment of Lymphoma Activity

Gehling

Mokry

Duong

et al. 2022

Rofo

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Purpose In patients with malignant lymphoma, disease activity is recommended to be assessed by FDG-PET/CT and the Deauville five-point scale (5-PS). The purpose of this study was to explore the potential of iodine concentration measured in contrast-enhanced dual-layer spectral detector CT (SDCT) as an alternative surrogate parameter for lymphoma disease activity by investigating its correlation with maximum standardized uptake values (SUVmax) and 5-PS. Materials and Methods 25 patients were retrospectively analyzed. Contrast-enhanced SDCT and FDG-PET/CT were performed in the same treatment interval within at most 3 months. CT attenuation values (AV), absolute iodine concentrations (aIC), and normalized iodine concentrations (nIC) of lymphoma lesions were correlated with SUVmax using Spearman’s rank correlation coefficient. The performance of aIC and nIC to detect lymphoma activity (defined as 5-PS > 3) was determined using ROC curves. Results 60 lesions were analyzed, and 31 lesions were considered active. AV, aIC, and nIC all correlated significantly with SUVmax. The strongest correlation (Spearman ρ = 0.71; p < 0.001) and highest area under the ROC curve (AUROC) for detecting lymphoma activity were observed for nIC normalized to inferior vena cava enhancement (AUROC = 0.866). The latter provided sensitivity, specificity, and diagnostic accuracy of 87 %, 75 %, and 80 %, respectively, at a threshold of 0.20. ROC analysis for AV (AUROC = 0.834) and aIC (AUROC = 0.853) yielded similar results. Conclusion In malignant lymphomas, there is a significant correlation between metabolic activity as assessed by FDG-PET/CT and iodine concentration as assessed by SDCT. Iodine concentration shows promising diagnostic performance for detecting lymphoma activity and may represent a potential imaging biomarker. Key Points: Citation Format

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“…x b u x u x [7] Based on the augmented Lagrangian function, problem [7] can be rewritten as follows:…”

Section: Details Of the Solving Schemementioning

confidence: 99%

“…Recently, multienergy computed tomography (MECT) has attracted increasing attention due to its great potential in medical imaging, especially in medicine and surgery, for its capabilities in quantitative material decomposition (1)(2)(3). Dual-energy CT (DECT) is one of the most common uses of MECT and can be implemented with dual-energy fast kilovoltage peak (kVp) switching and dual-layer sandwich detectors (4)(5)(6)(7). However, it is limited by the use of energyintegrating detectors.…”

Section: Introductionmentioning

confidence: 99%

Low-dose spectral reconstruction with global, local, and nonlocal priors based on subspace decomposition

Yu¹,

Cai²,

Li³

et al. 2023

Quant Imaging Med Surg

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Background: Multienergy computed tomography (MECT) is a promising imaging modality for material decomposition, lesion detection, and other clinical applications. However, there is an urgent need to design efficient and accurate algorithms to solve the inverse problems related to spectral reconstruction and improve image quality, especially under low-dose and incomplete datasets. The key issue for MECT reconstruction is how to efficiently describe the interchannel and intrachannel priors in multichannel images.Methods: In this model, in order to correlate the similarities of interchannel images and regularize the multichannel images, the global, local, and nonlocal priors are jointly integrated into the low-dose MECT reconstruction model. First, the subspace decomposition method first employs the global low-rankness to map the original MECT images to the low-dimensional eigenimages. Then, nonlocal self-similarity of the eigenimages is cascaded into the optimization model. Additionally, the L0 quasi-norm on gradient images is incorporated into the proposed method to further enhance the local sparsity of intrachannel images. The alternating direction method is applied to solve the optimization model in an iterative scheme.Results: Simulation, preclinical, and real datasets were applied to validate the effectiveness of the proposed method. From the simulation dataset, the new method was found to reduce the root-mean-square error (RMSE) by 42.31% compared with the latest research fourth-order nonlocal tensor decomposition MECT reconstruction (FONT-SIR) method under 160 projection views. The calculation time of an iteration for the proposed method was 23.07% of the FONT-SIR method. The results of material decomposition in real mouse data further confirmed the accuracy of the proposed method for different materials. Conclusions: We developed a method in which the global, local, and nonlocal priors are jointly used to develop the reconstruction model for low-dose MECT, where the global low-rankness and nonlocal prior are cascaded by subspace decomposition and block-matching, and the L0 sparsity is applied to express the local prior. The results of the experiments demonstrate that the proposed method based on subspace improves computational efficiency and has advantages in noise suppression and structure preservation over competing algorithms.

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The application of dual-layer spectral detector computed tomography in solitary pulmonary nodule identification

Cited by 23 publications

References 35 publications

Diagnosis of diffuse parenchymal lung diseases using transbronchial cryobiopsy guided by endobronchial ultrasound compared to clinicoradiological diagnosis

Diagnosis of diffuse parenchymal lung diseases using transbronchial cryobiopsy guided by endobronchial ultrasound compared to clinicoradiological diagnosis

Dual-Layer Spectral Detector CT in Comparison with FDG-PET/CT for the Assessment of Lymphoma Activity

Low-dose spectral reconstruction with global, local, and nonlocal priors based on subspace decomposition

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