1.Three-dimensional computed tomography in postoperative evaluation of the knees after anterior cruciate ligament reconstruction.
Xixun QI ; Liming GUAN ; Lei GUO ; Yusen ZHU ; Songbai LI ; Ke XU
Journal of Biomedical Engineering 2012;29(4):673-681
This study evaluated the clinical value of three-dimensional computed tomography (3D-CT) images in the knees following arthroscopic anterior cruciate ligament (ACL) reconstruction. Sixty-five consecutive patients underwent arthroscopic ACL reconstruction with single-incision and single-tunnel techniques. Preoperative and postoperative (12 months in between) clinical evaluation were performed using the Lysholm knee score and a KT-1000 arthrometer (side to side). Computed tomography (CT) of the knees was performed in a week after operation in all cases and at mean follow-up of 12 months. All of the clinical evaluation scales performed showed an overall improvement. 3D-CT images can display not only the bone tunnels of the knees including femoral and tibia very distinctly, but also the contour of the reconstructed ACL including adjacent structures. The average femoral tunnel diameter increased significantly (3%) from (9.15 +/- 0.03) mm postoperatively to (9.48 +/- 0.5) mm after 12 months; tibial tunnel increased significantly (12%) from (9.11 +/- 0.09) mm to (10.2 +/- 0.3) mm. There was no statistical difference between tunnel enlargements. So multi-slices spiral CT can evaluate the contour and changes of contour and changes of the knee after ACL reconstruction, which will be helpful in the intraoperative location and postoperative assessment of the knees.
Adult
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Anterior Cruciate Ligament
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diagnostic imaging
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surgery
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Anterior Cruciate Ligament Injuries
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Anterior Cruciate Ligament Reconstruction
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methods
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Arthroscopy
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Female
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Humans
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Imaging, Three-Dimensional
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Knee Injuries
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diagnostic imaging
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surgery
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Male
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Middle Aged
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Postoperative Period
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Tomography, X-Ray Computed
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methods
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Young Adult
2.Structure and performance of calcium polyphosphate for bone tissue engineering.
Kai QIU ; Yuanwei CHEN ; Qi ZHANG ; Hongfa SU ; Xixun YU ; Changxiu WAN
Journal of Biomedical Engineering 2006;23(6):1271-1274
Porous calcium polyphosphate (CPP) has shown promise of tissue engineered implant application because of the biocompatibility and biodegradation. CPP with different polymerization degree were prepared by controlling the calcining time, and its polymerization degree could be calculated by developed method in this paper. Different crystal types CPP were prepared by quenching from the melt and crystallization of amorphous CPP. From the in vitro degradation, carried out in Tris-HCl buffer, the degradation velocity of CPP was controllable. The weight loss of CPP with different polymerization degrees and crystal types were different. With the increasing of polymerization degree, the weight loss during the degradation was decreasing, contrarily the strength of CPP was increasing. The amorphous CPP could degrade completely in 17 days while gamma-CPP do completely in 25 days. The degradation velocity beta-CPP and alpha-CPP was slower than gamma-CPP and the weight loss was about 12% and 5% respectively. The results of this study indicate that CPP have potential applications for bone tissue engineering as inorganic polymeric biomaterials.
Absorbable Implants
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Biocompatible Materials
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chemistry
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Bone Substitutes
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chemistry
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Calcium Phosphates
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chemistry
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Humans
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Tissue Engineering
3.The value of synthetic MRI in identifying different molecular types of breast cancer and triple negative and non triple negative breast cancer
Ruimeng ZHAO ; Siyao DU ; Liangcun GUO ; Guoliang HUANG ; Xixun QI ; Shu LI ; Lina ZHANG
Chinese Journal of Radiology 2022;56(6):636-642
Objective:To investigate the value of synthetic MRI quantitative parameters in identifying different molecular types of breast cancer and triple negative breast cancer (TNBC) and non-TNBC.Methods:A retrospective analysis was performed on 208 patients diagnosed with invasive ductal breast cancer in the First Affiliated Hospital of China Medical University from March 2019 to September 2020. All patients underwent synthetic MR examinations and the following quantitative parameters were measured, including tumor diameter, volume, apparent diffusion coefficient (ADC), and corresponding values of T 1, T 2, and proton density (PD). According to the immunohistochemical results, there were 122 cases of progesterone receptor (PR) positive and 86 cases of PR negative, 123 cases of estrogen receptor (ER) positive and 85 cases of ER negative, 79 cases of human epidermal growth factor receptor-2 (HER2) positive and 129 cases of HER2 negative, 149 cases of Ki-67 high expression and 59 cases of Ki-67 low expression; there were 36 cases of TNBC and 172 cases of non-TNBC. Independent samples t test or Mann-Whitney U test were used to compare the quantitative parameters of different molecular types, TNBC and non-TNBC patients. Multivariate logistic regression was used to analyze independent predictors of TNBC, and receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the efficacy of sole and combined parameters in identifying TNBC. Results:T 1 and T 2 values in PR negative breast cancer patients were higher than those in PR positive patients ( t=2.30, Z=2.04, P<0.05); the values of T 1 and T 2 in ER negative patients were higher than those in ER positive patients ( t=2.52, Z=2.48, P<0.05); ADC value and tumor diameter of HER2 positive patients were larger than those in HER2 negative patients ( t=-3.21, Z=-3.22, P<0.05). T 2 value, tumor volume and diameter in patients with Ki-67 high expression were significantly higher than those in patients with Ki-67 low expression ( Z=-3.47, -2.51, -2.84, P<0.05); ADC value in Ki-67 high expression group was less than that in Ki-67 low expression group ( t=3.94, P<0.001). T 1, T 2 values and tumor volume in TNBC patients were higher than those in non-TNBC patients ( t=-3.26, Z=-5.58, Z=-2.02, P<0.05], and ADC value in TNBC patients was lower than that in non-TNBC patients ( t=3.07, P=0.002). Multivariate logistic regression analysis showed that T 2 (OR=1.060, 95%CI 1.028-1.093, P<0.001) and ADC value (OR=0.947, 95%CI 0.911-0.984, P=0.005) were independent predictors of TNBC. The efficacy of each parameter alone and in combination to identify TNBC showed that the T 2 value in the single parameter had the largest AUC (0.759), and there was no significant difference between T 2 value and its combined parameters in the diagnosis of TNBC. Conclusions:The quantitative parameters based on synthetic MRI, especially T 2 value, have value in differentiating different molecular types of breast cancer, TNBC and non-TNBC may be another non-contrast parameter for evaluating tumor aggressiveness beyond ADC value.