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Objective:To explore the clinical effectiveness of a self-designed robot reduction system for femoral intertrochanteric fractures.Methods:A retrospective study was conducted to analyze the 57 patients with intertrochanteric fracture who had been treated at Department of Orthopedics, The Fourth Affiliated Central Hospital of Tianjin Medical University from June 2022 to February 2023. The patients were divided into a robot group (using the self-designed robot reduction system to assist intramedullary nailing) and a traction bed group (using a traction bed to assist intramedullary nailing) based on their fracture reduction method. The robot group: 31 patients, 11 males and 20 females, with an age of (78.7±9.3) years; 16 left and 15 right sides; 17 cases of type 31-A1, 12 cases of type 31-A2 and 2 cases of type 31-A3 by the AO/OTA classification. The traction bed group: 26 patients, 12 males and 14 females, with an age of (78.7±7.7) years; 13 left and 13 right sides; 16 cases of type 31-A1, 9 cases of type 31-A2 and 1 cases of type 31-A3 by the AO/OTA classification. The 2 groups were compared in terms of reduction and operation time, intraoperative blood loss, fluoroscopy frequency, reduction quality, and VAS and Harris score at preoperation, 1 week and 6 months postoperation.Results:The 2 groups were comparable due to insignificant differences in their preoperative general data ( P>0.05). The robot group was significantly better than the traction bed group in reduction time [(4.4±2.2) min versus (9.4±3.2) min], operation time [(29.0±13.5) min versus (49.3±13.3) min], intraoperative blood loss [(76.5±30.5) mL versus (115.0±38.4) mL], fluoroscopy frequency [(10.2±2.6) times versus (14.8±3.2) times], and good/excellent rate of reduction [80.6% (25/31) versus 50.0% (13/26)] ( P<0.05). All patients were followed up for (6.8±0.3) months. Respectively, the VAS scores at preoperation and 6 months postoperation was (6.2±1.3) and (2.4±0.8) points for the robot group, and (6.3±1.3) and (2.7±0.8) points for the traction bed group, showing no statistically significant differences between the 2 groups ( P>0.05). However, the VAS score was (3.3±1.2) points for the robotic group and (4.8±1.5) points for the traction bed group at 1 week postoperation, showing a statistically significant difference between the 2 groups ( P<0.001). Respectively, the Harris scores at preoperation and 6 months postoperation were (35.3±3.0) and (88.7±3.4) points for the robot group, and (35.6±2.9) and (87.2±3.5) points for the traction bed group, showing no statistically significant differences between the 2 groups ( P>0.05). However, the Harris score was (57.3±3.7) points for the robotic group and (46.7±2.8) points for the traction bed group at 1 week postoperation, showing a statistically significant difference between the 2 groups ( P<0.05). The patient satisfaction rates in the robot and traction bed groups were 96.8% (30/31) and 92.3% (24/26), respectively, showing no statistically significant difference ( P>0.05). Conclusion:Our self-designed robot reduction for femoral intertrochanteric fractures can effectively shorten reduction and operation time, reduce bleeding and fluoroscopy frequency, and enhance anatomical reduction.
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【Objective】 To investigate the value of deep learning image reconstruction (DLIR) in improving image quality and reducing beam-hardening artifacts of low-dose abdominal CT. 【Methods】 For this study we prospectively enrolled 26 patients (14 males and 12 females, mean age of 60.35±10.89 years old) who underwent CT urography between October 2019 and June 2020. All the patients underwent conventional-dose unenhanced CT and contrast-enhanced CT in the portal venous phase (noise index of 10; volume computed tomographic dose index: 9.61 mGy) and low-dose CT in the excretory phase(noise index of 23; volume computed tomographic dose index: 2.95 mGy). CT images in the excretory phase were reconstructed using four algorithms: ASiR-V 50%, DLIR-L, DLIR-M, and DLIR-H. Repeated measures ANOVA and Kruskal-Wallis H test were used to compare the quantitative (skewness, noise, SNR, CNR) and qualitative (image quality, noise, beam-hardening artifacts) values among the four image groups. Post hoc comparisons were performed using Bonferroni test. 【Results】 In either quantitative or qualitative evaluation, the SNR, CNR, overall image quality score, and noise of DLIR images were similar or better than ASiR-V 50%. In addition, the SNR, CNR, and overall image quality scores increased as the DLIR weight increased, while the noise decreased. There was no statistically significant difference in the distortion artifacts (P=0.776) and contrast-induced beam-hardening artifacts (P=0.881) scores among these groups. 【Conclusion】 Compared with the ASiR-V 50% algorithm, DLIR algorithm, especially DLIR-M and DLIR-H, can significantly improve the image quality of low-dose abdominal CT, but has limitations in reducing contrast-induced beam-hardening artifacts.
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【Objective】 To assess the effect of reconstruction kernels and window settings on the detection and measurement of pulmonary solid nodules and their measurement variability and repeatability. 【Methods】 We retrospectively recruited 49 patients with pulmonary solid nodules who had undergone low-dose CT scanning. Images were reconstructed using five reconstruction kernels： lung， bone， chest， detail and standard kernels. Two radiologists independently assessed the detection rate， diameter and CT number measurement of nodules under the five kernels and two window settings （lung-window and mediastinal-window）. Bland-Altman plots and relative average deviation （RAD） were used to evaluate the repeatability and variability of nodule diameter and CT number measurement. 【Results】 Seventy-seven nodules were detected on lung-window regardless of reconstruction kernels， while the detection rates （75.3%-98.7%） were significantly different （P<0.001） on the mediastinal-window， with the lung kernel significantly improving the detection of nodules with the diameter below 6 mm. In both display windows， the diameter and CT number measurements among reconstruction kernels were similar except for the lung kernel. The lung-window had better variability in the diameter measurement while mediastinal-window was better in CT number measurement among various reconstruction kernels. Although the variability in the diameter of the nodule on the lung-window and mediastinal-window was similar， there was a significant difference in the variability in the diameter measurement among different reconstruction kernels on the mediastinal-window （P=0.004）. No significant difference in the variability in the CT number measurement was found among the different reconstruction kernels （lung-window P=0.163； mediastinal-window P=0.201）， and the variability in the CT number measurements on the mediastinal-window was smaller than that of the lung-window. Both window displays had acceptable repeatability in diameter and CT number measurement； however， the mediastinal-window was better in CT number measurement. 【Conclusion】 The lung kernel can improve the detection of pulmonary solid nodules below 6 mm， but is limited in the CT number measurement. The lung-window display provides better variability in measuring nodule diameter， while mediastinal-window display is better at measuring CT numbers.
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Objective To investigate the CT performances and causes of misdiagnosis of parovarian cyst,to improve its diagnostic accuracy.Methods CT data of 75 patients with surgically and pathologically confirmed parovarian cyst were analyzed retrospectively. Results Among the 75 patients,there were 79 cysts,in which 48 patients (51 cysts)originated from the epoophoron and 27 patients (28 cysts) from the mesosalpinx.77 were simple serous cysts and 2 serous cystadenomas.38 were located in the right ovarian adnexa,36 in the left ovarian adnexa,3 in the anterosuperior uterus,1 in the rectouterine pouch and 1 in the right iliac fossa.The size of the cysts ranged from 10 mm × 13 mm to 174 mm × 227 mm.75 were single cysts and 4 double cysts,34 presented as ovoid cysts,25 as irregular cysts, 17 as round cysts and 3 as gourd-shaped cysts.All the 79 cysts showed clear boundaries,thin walls,non-mural nodules,cystic fluid with a homogeneous densitywith CT value of 0-31 HU.Enhanced scanning revealed curved “obvious enhancement of the fallopian tube”at the edge of 68 cysts.In addition,the ipsilateral ovary could be detected in 76 cysts.“Holding ball”was found in 1 9 cysts.Conclusion Indication in ipsilateral ovary,curved “obvious enhancement of the fallopian tube”at the edge of cysts and “holding ball”are distinctive CT performances of parovarian cysts.CT has an important diagnostic value in parovarian cyst.
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Objective To discuss the treatment of periprosthetic femoral fractures (PFF) with unstable prosthesis by replacement of long-stem femoral prosthesis and internal fixation.Methods From December 2005 to December 2014,15 PFF patients with unstable prosthesis (15 hips) following were treated at our department.They were 10 men and 5 women,aged from 64 to 89 years (mean,76.2 years).Their primary surgeries included total hip arthroplasty in 13 cases and biological bi-polar replacement of femoral head in 2.Two prostheses were cement and 13 biological.By Vancouver classification,9 cases were type B2,and 6 type B3.The unstable prostheses in the 15 cases were replaced by long-stem femoral ones,followed by internal fixation.At the last follow-ups,clinical outcome were evaluated by Harris scoring and images of PFF by Beals & Tower criteria.Complications were documented.Results One died 4 months after operation.The other 14 patients were followed up for an average of 4.5 years (from 6 months to 9 years).Fracture union was achieved in 12 cases after an average of 3.9 months (from 3 to 9 months).Nonunion occurred in 2 cases.Imaging evaluation revealed 9 excellent cases,3 good ones and 2 poor ones.The Harris scores at the last follow-up averaged was 82.3 points (from 50 to 100 points).Deep vein thrombosis occurred preoperatively in one case and posterior tibial vein thrombosis occurred in 2 cases respectively on day 3 and day 10 postoperatively.No such complications occurred as malunion,fixation failure,dislocation or prosthesis loosening.Conclusion Satisfactory outcomes can be achieved by replacement of long-stem femoral prosthesis combined with appropriate fixation for treatment of PFF with unstabrosthesis.
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Objective To evaluate the usefulness of extrapleural locating method in CT-guidod transthoracic pulmonary biopsy to prevent or reduce the size of peumothorax.Methods One hundred and fifteen cases of CT-gnided transthoracic pulmonary biopsy with the pulmonary lesions not in direct contact with the pleura were selected.Of 115 cases,46 were performed with extrapleural locating method (EPL) and 69 cases with lesion edge locating method (LEL).Taking the maximum distance between the partial and visceral pleura (MPVD) measured on the CT image after the procedure as the index of the volume of pneumothorax.The incidence and volume of pneumothorax of both groups were compared and statistically analysed with R ×C Chi-Square test.The retention time of the biopsy needle in the lung parenchyma of the two group was documented and the average time was calculated in each group.Results The incidence of pneumothorax was 45.7% (21/46),median 0.4 cm with EPL group,and 66.7% (46/69) and median 0.3cm with LEL group.When the distance between the lesion and pleura was equal or smaller than 2 cm (≤2cm),the incidence of pneumothorax was 39.4% (13/33) with EPL group and 73.2% (30/41) with LEL group,and the difference of incidence and volume of the pneumothorax between two groups was statistically signifieant(X2 =9.981,P =0.019).When the distance was larger than 2 cm( >2 cm),the incidence and volume of pneumothorax between two groups were not significant statistically.The average retention time of the biopsy needle in the lung parenchyma was (7.2±1.8)s with EPL group and (58.3±11.6) s with LEL group.Conclusion The extrapleural locating method can reduce effectively the retention time of the biopsy needle in the lung parenchyma and the incidence and volume of pneumothorax in CT-gnided transthoracic pulmonary biopsy.