Non-small cell lung cancer: Spectral computed tomography quantitative parameters for preoperative diagnosis of metastatic lymph nodes

Yang, Fengfeng; Dong, Jie; Wang, Xiuting; Fu, Xiaojiao; Zhang, Tong

doi:10.1016/j.ejrad.2017.01.026

Cited by 43 publications

(29 citation statements)

References 23 publications

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“…invasion are limited because of the lower prevalence of these signs in participants with breast cancer. Quantitative dual-energy CT parameters such as l Hu , normalized iodine concentration, and normalized effective atomic number have been suggested to be helpful for the preoperative identification of metastatic lymph nodes in patients with gastric cancer (16), lung cancer (27), and cervical lymphadenopathy (17,28,29). In our study, arterial phase l Hu , venous phase l Hu , arterial phase normalized iodine concentration, venous phase normalized iodine concentration, and venous phase normalized effective atomic number of metastatic SLNs were higher than those of nonmetastatic SLNs.…”

Section: Discussionmentioning

confidence: 99%

Axillary Sentinel Lymph Nodes in Breast Cancer: Quantitative Evaluation at Dual-Energy CT

et al. 2018

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Purpose To evaluate the diagnostic performance of quantitative parameters derived from dual-energy CT for the preoperative diagnosis of metastatic sentinel lymph nodes (SLNs) in participants with breast cancer. Materials and Methods For this prospective study, dual-phase contrast agent-enhanced CT was performed in female participants with breast cancer from June 2015 to December 2017. Quantitative dual-energy CT parameters and morphologic parameters were compared between metastatic and nonmetastatic SLNs. The quantitative parameters were fitted to univariable and multivariable logistic regression models. The diagnostic role of morphologic and quantitative parameters was analyzed by receiver operating characteristic curves and compared by using the McNemar test. Results This study included 193 female participants (mean age, 47.6 years ± 10.1; age range, 22-79 years). Quantitative dual-energy CT parameters including slope of the spectral Hounsfield unit curve (λ) measured at both arterial and venous phases, normalized iodine concentration at both arterial and venous phase, and normalized effective atomic number at the venous phase were higher in metastatic than in nonmetastatic SLNs (P value range, ≤.001 to .031). Univariable and multivariable logistic regression analyses showed that venous phase λ (in Hounsfield units per kiloelectron-volt) was the best single parameter for the detection of metastatic SLNs. The accuracy of the venous phase λ for detecting metastatic SLNs was 90.5% on a per-lymph node basis and 87.0% on a per-patient basis. The accuracy and specificity at venous phase λ was higher than their counterparts in the morphologic parameters (P < .001). Conclusion Dual-energy CT is a complementary means for the preoperative identification of sentinel lymph nodes metastases in participants with breast cancer. © RSNA, 2018 Online supplemental material is available for this article.

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Section: Discussionmentioning

confidence: 99%

Axillary Sentinel Lymph Nodes in Breast Cancer: Quantitative Evaluation at Dual-Energy CT

et al. 2018

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“…Dual-energy CT has been widely used recently [6]. Quantitative parameters derived from dual-energy CT data have proven to be useful for the diagnosis and nodal staging in several types of tumors [7][8][9][10]. However, the value of quantitative parameters from dual-energy CT in the preoperative diagnosis of LN metastasis in patients with pancreatic cancer remains elusive.…”

Section: Introductionmentioning

confidence: 99%

Resectable pancreatic ductal adenocarcinoma: association between preoperative CT texture features and metastatic nodal involvement

Fang

Zhu

et al. 2020

Cancer Imaging

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Background: To explore the relationship between the lymph node status and preoperative computed tomography images texture features in pancreatic cancer. Methods: A total of 155 operable pancreatic cancer patients (104 men, 51 women; mean age 63.8 ± 9.6 years), who had undergone contrast-enhanced computed tomography in the arterial and portal venous phases, were enrolled in this retrospective study. There were 73 patients with lymph node metastases and 82 patients without nodal involvement. Four different data sets, with thin (1.25 mm) and thick (5 mm) slices (at arterial phase and portal venous phase) were analysed. Texture analysis was performed by using MaZda software. A combination of feature selection algorithms was used to determine 30 texture features with the optimal discriminative performance for differentiation between lymph node positive and negative groups. The prediction performance of the selected feature was evaluated by receiver operating characteristic (ROC) curve analysis. Results: There were 10 texture features with significant differences between two groups and significance in ROC analysis were identified. They were WavEnLH_s-2(wavelet energy with rows and columns are filtered with low pass and high pass frequency bands with scale factors 2) from wavelet-based features, 135dr_LngREmph (long run emphasis in 135 direction) and 135dr_Fraction (fraction of image in runs in 135 direction) from run length matrix-based features, and seven variables of sum average from coocurrence matrix-based features (SumAverg). The ideal cutoff value for predicting lymph node metastases was 270 for WavEnLH_s-2 (positive likelihood ratio 2.08). In addition, 135dr_ LngREmph and 135dr_Fraction were correlated with the ratio of metastatic to examined lymph nodes. Conclusions:Preoperative computed tomography high order texture features provide a useful imaging signature for the prediction of nodal involvement in pancreatic cancer.

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“…Until now, common types of spectral CT techniques have included dual-source (DS) CT, single-source fast kilovolt peak–switching (FS) CT, and single-source dual-layered (DL) detector CT, 6 which have been widely used in the clinical diagnosis and evaluation of bowel disease, 7 abdominal and pelvic trauma, 8 thyroid nodules, 9 , 10 gastric cancer, 11 and lung cancer. 12 , 13 The calcium-suppressed (CaSupp) technique (also called virtual non-calcium technique), which is a post-processing technique using spectral-based images, had also been used to visualize the bone marrow edema by removing the calcium components, in the evaluation of acute vertebral compression fractures, 14 – 19 nondisplaced hip fractures, 20 and axial spondyloarthritis. 21 Therefore, it was reasonable to presume that the TMJ disc could be visualized on CaSupp images by removing the calcium components in the articular bone, just as the TMJ disc could be brought out by the contrast media on CT arthrography.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the temporomandibular joint disc using calcium-suppressed technique in dual-layer detector computed tomography

et al. 2019

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Objectives To investigate the application value of the calcium-suppressed (CaSupp) images of dual-layer detector computed tomography (DLCT) in the evaluation of the temporomandibular joint (TMJ) discs. Methods Thirty-three healthy subjects underwent DLCT and magnetic resonance imaging (MRI) examinations. CaSupp images were reconstructed from the spectral-based images using a calcium suppression algorithm. The location, morphology, and thickness of the posterior band of the TMJ discs were evaluated on the oblique sagittal proton-density weighted images and CaSupp images. Results Of the 66 TMJ discs, anterior displacement was observed on 9 TMJ discs on MR images and 6 TMJ discs on CaSupp images, and posterior displacement was present on 3 TMJ discs on MR and CaSupp images. No significant difference was observed in TMJ disc displacement between MR images and CaSupp images ( P value = 0.730). The TMJ discs without displacement had no significant difference in the thickness of the posterior band between the MR and CaSupp images ( P value = 0.401). Conclusions The calcium-suppressed technique in DLCT may be a simple and preliminary way to evaluate the TMJ disc displacement and structure.

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Non-small cell lung cancer: Spectral computed tomography quantitative parameters for preoperative diagnosis of metastatic lymph nodes

Cited by 43 publications

References 23 publications

Axillary Sentinel Lymph Nodes in Breast Cancer: Quantitative Evaluation at Dual-Energy CT

Axillary Sentinel Lymph Nodes in Breast Cancer: Quantitative Evaluation at Dual-Energy CT

Resectable pancreatic ductal adenocarcinoma: association between preoperative CT texture features and metastatic nodal involvement

Evaluating the temporomandibular joint disc using calcium-suppressed technique in dual-layer detector computed tomography

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