Objective To investigate CT features of multifoeal lung adenocarcinoma (MLA) with ground glass opacity and the relationships with pathology.Methods Totally 16 cases (36 lesions) of MLA confirmed by pathology were collected.Based on pathology,the lesions were divided into pre-invasive lesion group (n =7),minimally invasive adenocarcinoma (MIA) group (n=20) and invasive adenocarcinoma (IAC) group (n =9).CT features of all three groups were analyzed and compared with pathology.Results Among 36 lesions,there were 19 lesions (52.78％) with round shape,19 (52.78％) with lobulation,12 (33.33％) with spiculation sign,13 (36.11％) with vacuole sign,12 (33.33％)with blood vessel cluster sign,and 32 lesions (88.89％) with well-defined interface.Seven pre-invasive lesions (7/7,100％) were all pure ground glass opacity (pGGO),while 12 lesions (12/20,60.00％) were pGGO in MIA group,other 8 lesions (8/20,40.00％) were mixed ground glass opacity (mGGO).Only 1 lesion (1/9,11.11％) in IAC group was pGGO,other 8 lesions (1/9,88.89％) were mGGO.There were significant differences of pGGO,spiculation sign,vacuole sign and blood vessel cluster sign among 3 groups (all P＜0.05).There were significant differences of pGGO,spiculation sign and blood vessel cluster sign between pre-invasive lesion and IAC group (P=0.001,0.003,0.001).Significant differences were found in spiculation sign,vacuole sign and blood vessel cluster sign between MIA and IAC group (P=0.014,0.014,0.001).Conclusion CT findings of multiple ground glass opacity are helpful to diagnosis of MLA before surgery.

Objective To investigate the diagnostic value of CT thin-section target reconstruction technique in patients with pulmonary small size groud glass nodules (sGGN).Methods A total of 109 patients with pulmonary sGGN certified post-operation and/or follow up were analyzed retrospectively,and the clinical and CT images of all patients were completely collected.There were 23 cases of benign group,21 cases of adenocarcinoma in situ group,29 cases of minimally invasive adenocarcinoma group and 36 cases of invasive adenocarcinoma group,respectively.The differential diagnostic value using CT thin-section target reconstruction technique was analyzed between the benign and malignant pulmonary sGGN groups,and the CT feature detection rates were compared between CT thin section target and common reconstruction techniques.Results The CT thin-section target reconstruction technique had improved the diagnostic efficiency of pulmonary sGGN.The diagnostic accuracy,area under curve(AUC),sensitivity and specificity were 85.32 ％,0.679,90.80 ％,63.64 ％ in malignant group and 77.06％,0.764,83.72％,52.17％ in benign pulmonary sGGN group,respectively.The CT features as solid component in whole nodule,"halo sign",speculation sign,pleural retraction sign,lobulation sign were more detected by using the thin-section target reconstruction technique than that by using the common reconstruction among adenocarcinoma in situ group,minimally invasive adenocarcinoma group and invasive adenocarcinoma group (P＜0.05) but not speculation sign in the invasive adenocarcinoma group(P=0.126).Conclusion The CT thin section target reconstruction technique can improve the diagnostic value of pulmonary sGGN.

Understanding the connection between brain and behavior in animals requires precise monitoring of their behaviors in three-dimensional (3-D) space. However, there is no available three-dimensional behavior capture system that focuses on rodents. Here, we present MouseVenue3D, an automated and low-cost system for the efficient capture of 3-D skeleton trajectories in markerless rodents. We improved the most time-consuming step in 3-D behavior capturing by developing an automatic calibration module. Then, we validated this process in behavior recognition tasks, and showed that 3-D behavioral data achieved higher accuracy than 2-D data. Subsequently, MouseVenue3D was combined with fast high-resolution miniature two-photon microscopy for synchronous neural recording and behavioral tracking in the freely-moving mouse. Finally, we successfully decoded spontaneous neuronal activity from the 3-D behavior of mice. Our findings reveal that subtle, spontaneous behavior modules are strongly correlated with spontaneous neuronal activity patterns.
Animals ; Behavior, Animal ; Brain/diagnostic imaging* ; Imaging, Three-Dimensional/methods* ; Mice ; Neuroimaging ; Rodentia