ABSTRACT
Paraquat poisoning has become a serious public health problem in some Asian countries because of misuse or suicide. We sought to develop and validate a radiomics nomogram incorporating radiomics signature and laboratory bio-markers, for differentiating bacterial pneumonia and acute paraquat lung injury. 180 patients with pneumonia and acute paraquat who underwent CT examinations between December 2014 and October 2017 were retrospectively evaluated for testing and validation. Clinical information including demographic data, clinical symptoms and laboratory test were also recorded. A prediction model was built by using backward logistic regression and presented on a nomogram. The radiomics-based features yielded areas under the receiver operating characteristic curve of 0.870 (95% CI 0.757-0.894), sensitivity of 0.857, specificity of 0.804, positive predictive value of 83.3%, negative predictive value of 0.818 in the primary cohort, while in the validation cohort the model showed similar results (0.865 (95% CI 0.686-0.907), 0.833, 0.792, 81.5%, respectively). The individualized nomogram included radiomics signature, body temperature, nausea and vomiting, and aspartate transaminase. We have developed a radiomics nomogram that combination of the radiomics features and clinical risk factors to differentiate paraquat lung injury and pneumonia for patients with an unclear medical history of exposure to paraquat poisoning, providing appropriate therapy decision support.
Subject(s)
Nomograms , Pneumonia/diagnosis , Pulmonary Edema/diagnosis , Tomography, X-Ray Computed , Acute Disease , Acute Lung Injury , Adult , Algorithms , Calibration , Clinical Decision-Making , Cohort Studies , Diagnosis, Differential , Female , Humans , Male , Pneumonia/diagnostic imaging , Pulmonary Edema/diagnostic imaging , ROC Curve , Reproducibility of ResultsABSTRACT
Objective To explore the application value of different dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) models in pathological grading of breast invasive ductal carcinoma.Methods Forty-five cases of breast invasive ductal carcinoma confirmed by clinical pathology from June 2016 to October 2017 in Shanxi Provincial People's Hospital were enrolled in this study.Grade 1 and 2 invasive ductal carcinomas were classified into the low-grade group,grade 3 invasive ductal carcinomas was classified as the high-grade group.The whole patients underwent DCE-MRI scans.Volume transport constant (Ktrans) was obtained by using the Extended Tofts Linear model with population arterial input function (AIF).Then,the Reference Region model was used to obtain the reference region model volume transport constant(RRKtrans).The performances of histogram analysis of these two quantitative parameters in pathological grading of breast invasive ductal carcinoma were compared.Results The mean,25 ％,50 ％,75 ％,90 ％ percentiles,kurtosis and skewness of RRKtrans in high grade group were (0.793±0.258)/min,(0.484±0.209)/min,(0.773±0.277)/min,(1.066±0.351)/min,(1.322±0.406)/min,2.647 (1.426,3.679),0.398 (0.297,0.514) respectively,and the corresponding parameters in low grade group were (0.506±0.203)/min,(0.301 ±0.142)/min,(0.487 ±0.211)/min,(0.692±0.281)/min,(0.861±0.323)/min,1.725 (0.779,2.316),0.258 (0.133,0.302) respectively.There were significant differences between the two groups (all P ＜ 0.05).The mean,50 ％,75 ％,90 ％percentiles of Ktrans in high grade groups were (0.099±0.034)/min,(0.110±0.033)/min,(0.132±0.045)/min,(0.140±0.047)/min respectively,and the corresponding parameters in low grade group were (0.067±0.030)/min,(0.082 ±0.067)/min,(0.096 ±0.059)/min,(0.113 ±0.074)/min respectively.There were significant differences between the two groups (all P ＜ 0.05).RRKtrans was superior to Ktrans in distinguishing area under the curve (AUC) of receiver operating characteristic curve (ROC) of high and low grading of breast invasive ductal carcinoma.Conclusion RRKtrans obtained by Reference Region model and Ktrans obtained by Population AIF DCE-MRI have some values in pathological grading of breast invasive ductal carcinoma,but the performance of RRKtrans is superior to Kftrans.
ABSTRACT
Abdominal imaging is one of the important clinical applications of magnetic resonance imagining, but image degradation due to respiratory motion remains a major problem. Retrospective respiratory navigator gating technique is an effective approach to alleviate such degradation but is subject to long scan time and low signal-to-noise ratio (SNR) efficiency. In this study, a modified retrospective navigator gating technique with variable over-sampling ratio acquisition and weighted average reconstruction algorithm is presented. Experiments in phantom and the imaging results of seven volunteers demonstrated that the proposed method provided an enhanced SNR and reduced ghost-to-image ratio compared to the conventional method. The proposed method can also be used to reduce imaging time while maintaining comparable image quality.
