Objective To investigate the relationship between preoperative mean daily step counts and pulmonary complications after thoracoscopic lobectomy in elderly patients. Methods From 2018 to 2021, the elderly patients with pulmonary complications after thoracoscopic lobectomy were included. A 1∶1 propensity score matching was performed with patients without pulmonary complications. The clinical data were compared between the two groups. ResultsTotally, 100 elderly patients with pulmonary complications were enrolled, including 78 males and 22 females, aged 66.4±4.5 years. And 100 patients without pulmonary complications were matched, including 71 males and 29 females aged 66.2±5.0 years. There was no significant difference in the preoperative data between the two groups (P>0.05). Compared to the patients with pulmonary complications, the ICU stay was shorter (8.1±4.4 h vs. 12.9±7.5 h, P＜0.001), the first out-of-bed activity time was earlier (8.8±4.5 h vs. 11.2±6.1 h, P=0.002), and the tube incubation time was shorter (19.3±9.2 h vs. 22.5±9.4 h, P=0.015) in the patients wihout pulmonary complications. There was no statistical difference in other perioperative data between the two groups (P>0.05). The mean daily step counts in the pulmonary complications group were significantly less than that in the non-pulmonary complications group (4 745.5±2 190.9 steps vs. 6 821.1±2 542.0 steps, P＜0.001). The daily step counts showed an upward trend for three consecutive days in the two groups, but the difference was not significant. Conclusion The decline of preoperative mean daily step counts is related to pulmonary complications after thoracoscopic lobectomy in elderly patients. Recording daily step counts can promote preoperative active exercise training for hospitalized patients.
Objective
To analyze the ability of spectral CT imaging in displaying breast cancer lesions and explore the value of spectral CT imaging in detecting breast cancer.
Methods
The spectral CT images with different parameters of sixty-eight breast cancer lesions confirmed by pathology between July 2013 and February 2016 were retrospectively analyzed. The contrast noise ratio (CNR) and signal to noise ratio (SNR) as well as the ability in detecting breast cancer of the images with different parameters were compared.
Results
Fat-water material decomposition images showed breast cancer lesions best. Iodine-water material decomposition images had the lowest CNR. 70 keV monochromatic images and the monochromatic of best CNR images had better SNR. Fat-water material decomposition images detected all of the breast cancer lesions. Conventional CT plain scan detected least lesions.
Conclusion
Spectral CT imaging, especially fat-water material decomposition images, can show breast cancer lesions well, which has the potential application for detection of breast cancer lesions.
