Objective To discuss the X-ray appearances of osteogenesis imperfecta.Methods The clinical and radiological manifestations of osteogenesis imperfecta in 10 child-patients were studied retrospectively.Results ①The change of osseous density:generalized osteoporosis with abnormal fragility of bone;②According to the abnormal contour of limbs bone,the patterns of lesions(10 cases) were categorized to four subtypes including long and thin type(3 cases),stumpy type(3 cases),pocketed and swelled lesions(2 cases) and blended appearances(2 cases);③Among the 10 cases,the lesions complicated by arthropathy were seen in 5 cases;④complicated by abnormal spines in 5 cases,pelvis deformity in 3 cases,chest deformity in 4 cases.Conclusion Radiological manifestations have certain clinical value in the diagnosis and typing of osteogenesis imperfecta.

OBJECTIVE: To explore the feasibility of rapid and accurate three-dimensional (3D) image reconstruction using Uromedix-3D software for urological surgery. METHODS: The original renal thin-slice enhancement CT data were obtained from patients with kidney lesions treated in our hospital between December, 2015 and October, 2018. The self-developed Uromedix- 3D system was used to reconstruct the normal kidney structures, blood vessels, collecting systems and the lesions. The spatial anatomic relationships of the structures were measured and digitized for surgical planning. RESULTS: 3D reconstruction of the kidneys was performed in a total of 173 cases, and the mean time for reconstruction was 31.24±2.012 min. Of these cases, 147 (84.9%) had renal tumors, and 2 had renal tumors with tumor thrombus. In addition to renal tumors, the Uromedix-3D system was also used for reconstructing other lesions including UPJO, kidney stones and retroperitoneal masses. Renal artery reconstruction was performed in 170 cases, which allowed observation of the precise terminal branches (up to 7th grade arterial branch) of the artery; 109 (64%) cases showed the 5th grade arterial branch or above. Renal artery variations were detected in 37 cases, including accessory renal artery (24 cases) and multiple renal arteries (13 cases). The renal veins were reconstructed in 164 cases, and second grade or above (up to the 4th grade) vein branches were observed in 138 (84%) cases. CONCLUSIONS Uromedix-3D system can accurately and efficiently reconstruct the 3D structure of human kidneys and the renal lesions based on enhanced CT data. The reconstructed 3D model allows objective assessment of the spatial anatomical relationship of the lesions to provide assistance in surgical planning.
Humans ; Imaging, Three-Dimensional ; Kidney ; Kidney Calculi ; diagnostic imaging ; surgery ; Kidney Neoplasms ; diagnostic imaging ; surgery ; Tomography, X-Ray Computed

Objective To improve the CT image quality of the anorectal junction in venous phase using a new deep learning image reconstruction(DLIR)algorithm.Methods A retrospective analysis was conducted on 71 patients undergoing pelvic computed tomography(CT)scans.All CT images were reconstructed at a thin slice thickness of 0.625 mm using 50%ASiR-V,low-,medium-and high-intensity DLIR(DLIR-L,DLIR-M and DLIR-H).The CT attenuations and standard deviation values of anal canal and hip fat were measured for each reconstruction group.With the standard deviation of hip fat as background noise,the contrast-to-noise ratio(CNR)and signal-to-noise ratio(SNR)of anal canal were calculated.Two radiologists independently assessed image quality and diagnostic confidence for local invasion of rectal cancer using the 5-point Likert scale.The objective measurement indicators and subjective scores were analyzed and compared,and Kappa test was used to evaluate the consistency.Results The differences in CT value of anal canal and hip fat among the groups were trivial(P>0.05),but fat SD,anal canal SNR and CNR(P<0.05)differed significantly,with lowest fat SD,highest anal canal SNR and CNR in DLIR-H group,while highest fat SD,lowest anal canal SNR and CNR in 50%ASiR-V group.Compared with 50%ASiR-V group,DLIR-H group decreased fat SD by 44.3%,but increased anal canal SNR and CNR by 89.5%and 92.1%,respectively(P<0.05).The subjective score of 4 groups were significantly different(P<0.05),decreasing from DLIR-H to 50%ASiR-V,and the inter-group differences were significant(P<0.05),except the difference between 50%ASiR-V group and DLIR-L group(P>0.05).There was a statistically significant difference in the diagnostic confidence for local invasion of rectal cancer among different groups(P<0.05),and the scores were significantly higher in DLIR-M and DLIR-H groups than in 50%ASiR-V and DLIR-L groups(P<0.05).Conclusion Compared with the standard 50%ASiR-V image,DLIR-M and DLIR-H reconstruction algorithms can effectively improve the image quality for the anorectal junction in CT imaging.The higher-intensity DLIR results in better image quality and stronger ability to display fine structures,which can provide more evidences for clinical precision evaluation and personalized precision treatment.