New understandings of the lithofacies paleogeography of the middle assemblage of Majiagou Fm in the Ordos Basin and its exploration significance

Accurate lithofacies-paleogeographic reconstruction is of great significance in predicting the dolomite reservoir distribution of the middle assemblage of Ordovician Majiagou Fm in the Ordos Basin. In this paper, the controlling effects of palaeotectonic background over sedimentation were first analyzed. Then the sedimentary mode of the middle assemblage was established and the lithofacies-paleogeography was reconstructed objectively for three intervals (Ma55, Ma57 and Ma59), based on the observation results of a large number of drilling cores and rock sections, together with the results of logging interpretation of rock composition and structure, single factor maps analysis and seismic data interpretation. The following findings were obtained. First, the middle assemblage of Majiagou Fm presents the uplift-depression alternation; two secondary low uplift zones extending in NS, i.e. Wushen Banner–Wuqi and Shenmu–Yulin–Yan'an, are developed in the eastern side of the central paleo-uplift, between which there is intraplatform depression, and lagoons are deposited in the Mizhi area in the east of the basin. Second, in the Ordos Basin, four NE-trending rift troughs are developed in the Proterozoic, which greatly affects the Ordovician sedimentary pattern and controls the distribution of intraplatform grain banks. Third, influenced jointly by the uplift-depression alternation and the intraplatform rift troughs of the Proterozoic, the intraplatform grain banks in the middle assemblage are mainly developed in the two low uplift zones, i.e. Shenmu–Yulin–Yan'an and Wushen Banner–Wuqi, trending NE in a similar echelon distribution. In conclusion, the two low uplift zones are the main development areas for high-quality carbonate reservoirs within the middle assemblage of Majiagou Fm in the basin

Preoperative CT-based radiomics combined with tumour spread through air spaces can accurately predict early recurrence of stage I lung adenocarcinoma: a multicentre retrospective cohort study

Abstract Objective To develop and validate a prediction model for early recurrence of stage I lung adenocarcinoma (LUAD) that combines radiomics features based on preoperative CT with tumour spread through air spaces (STAS). Materials and methods The most recent preoperative thin-section chest CT scans and postoperative pathological haematoxylin and eosin-stained sections were retrospectively collected from patients with a postoperative pathological diagnosis of stage I LUAD. Regions of interest were manually segmented, and radiomics features were extracted from the tumour and peritumoral regions extended by 3 voxel units, 6 voxel units, and 12 voxel units, and 2D and 3D deep learning image features were extracted by convolutional neural networks. Then, the RAdiomics Integrated with STAS model (RAISm) was constructed. The performance of RAISm was then evaluated in a development cohort and validation cohort. Results A total of 226 patients from two medical centres from January 2015 to December 2018 were retrospectively included as the development cohort for the model and were randomly split into a training set (72.6%, n = 164) and a test set (27.4%, n = 62). From June 2019 to December 2019, 51 patients were included in the validation cohort. RAISm had excellent discrimination in predicting the early recurrence of stage I LUAD in the training cohort (AUC = 0.847, 95% CI 0.762–0.932) and validation cohort (AUC = 0.817, 95% CI 0.625–1.000). RAISm outperformed single modality signatures and other combinations of signatures in terms of discrimination and clinical net benefits. Conclusion We pioneered combining preoperative CT-based radiomics with STAS to predict stage I LUAD recurrence postoperatively and confirmed the superior effect of the model in validation cohorts, showing its potential to assist in postoperative treatment strategies