1.Prediction of recurrence risk in soft tissue sarcomas by MRI and digital pathology based omics nomogram
Tongyu WANG ; Hexiang WANG ; Xindi ZHAO ; Feng HOU ; Jiangfei YANG ; Mingyu HOU ; Guangyao WAN ; Bin YUE ; Dapeng HAO
Chinese Journal of Radiology 2024;58(2):216-224
Objective:To investigate the value of an MRI and digital pathology images based omics nomogram for the prediction of recurrence risk in soft tissue sarcoma (STS).Methods:This was a retrospective cohort study. From January 2016 to March 2021, 192 patients with STS confirmed by pathology in the Affiliated Hospital of Qingdao University were enrolled, among which 112 patients in the Laoshan campus were enrolled as training set, and 80 patients in the Shinan campus were enrolled as validation set. The patients were divided into recurrence group ( n=87) and no recurrence group ( n=105) during follow-up. The clinical and MRI features of patients were collected. The radiomics features based on fat saturated T 2WI images and pathomics features based on digital pathology images of the lesions were extracted respectively. The clinical model, radiomics model, pathomics model, radiomics-pathomics combined model, and omics nomogram which combined the optimal prediction model and the clinical model were established by multivariate Cox regression analysis. The concordance index (C index) and time-dependent area under the receiver operating characteristic curve (t-AUC) were used to evaluate the performance of each model in predicting STS postoperative recurrence. The DeLong test was used for comparison of t-AUC between every two models. The X-tile software was used to determine the cut-off value of the omics nomogram, then the patients were divided into low risk ( n=106), medium risk ( n=64), and high risk ( n=22) groups. Three groups′ cumulative recurrence-free survival (RFS) rates were calculated and compared by the Kaplan-Meier survival curve and log-rank test. Results:The performance of the radiomics-pathomics combined model was superior to the radiomics model and pathomics model, with C index of 0.727 (95% CI 0.632-0.823) and medium t-AUC value of 0.737 (95% CI0.584-0.891) in the validation set. The omics nomogram was established by combining the clinical model and the radiomics-pathomics combined model, with C index of 0.763 (95% CI 0.685-0.842) and medium t-AUC value of 0.783 (95% CI0.639-0.927) in the validation set. The t-AUC value of omics nomogram was significantly higher than that of clinical model, TNM model, radiomics model, and pathomics model in the validation set ( Z=3.33, 2.18, 2.08, 2.72, P=0.001, 0.029, 0.037, 0.007). There was no statistical difference in t-AUC between the omics nomogram and radiomics-pathomics combined model ( Z=0.70, P=0.487). In the validation set, the 1-year RFS rates of STS patients in the low, medium, and high recurrence risk groups were 92.0% (95% CI 81.5%-100%), 55.9% (95% CI 40.8%-76.6%), and 37.5% (95% CI 15.3%-91.7%). In the training and validation sets, there were statistically significant in cumulative RFS rates among the low, medium, and high groups of STS patients (training set χ2=73.90, P<0.001; validation set χ2=18.70, P<0.001). Conclusion:The omics nomogram based on MRI and digital pathology images has favorable performance for the prediction of STS recurrence risk.
2.Efficacy of debridement combined with antibiotic-loaded artificial bone in treatment of clavicle osteomyelitis
Ruifang YANG ; Xinwei WANG ; Shilin WANG ; Xinxin LIU ; Zairan GUO ; Wenlong ZHONG ; Lei ZHANG ; Jiangfei CHEN
The Journal of Practical Medicine 2023;39(23):3065-3070
Objective To explore the efficacy of debridement combined with antibiotic-loaded artificial bone in the treatment of clavicular osteomyelitis.Methods The data of 45 patients with clavicle osteomyelitis admitted to Luoyang Orthopedic Hospital(Henan Orthopedic Hospital)in Henan Province from January 2012 to June 2022 were retrospectively analyzed.They were divided into treatment group(n = 24)treated with debridement combined with antibiotic-loaded artificial bone,and control group(n = 21)treated with debridement.We compared the operation time,the duration of drainage tube placement,wound healing time,white blood cells(WBC),C-reactive protein(CRP),and erythrocyte sedimentation rate(ESR)in the two groups.Preoperative visual analog scores(VAS)and VAS 1 month after operation,and preoperative Constant-Murley score(CMS)and CMS 12 months after operation were observed.Infections,recurrence and complications in the two groups were recorded in the follow-up.Results All the 45 patients completed the surgery successfully and were followed up for 13 to 35 months,with an average of(23.53±5.11)months.The operation time and the duration of drainage tube place-ment of the treatment group were longer than those of the control group(P<0.05),and there was no significant difference in the wound healing time(P>0.05);preoperative and 14-day postoperative WBC,CRP,and ESR,VAS 1 month after operation,and CMS 12 months after operation were all significantly improved in the two groups.The differences were all statistically significant(P<0.05),and the CMS of the treatment group was higher than that of the control group(P<0.05).During the follow-up,there were less cases of infection recurrence in the treatment group when compared with that in the control group(2/24,8.33%vs.5/21,23.81%).There were 2 cases of aseptic exudation in the treatment group.There were 1 case of bone defect in the treatment group and 5 in the control group,all of which had healed after the second-stage iliac implantation,and the rest did not have the complication of aseptic exudation,bone defects and pathologic fracture.Conclusion Debridement and antibiotic-loaded artificial bone can effectively control the infection and preserve the shape and function of the clavicle,with a low recurrence rate of postoperative infection,simple surgical operation,and no serious complications.It is wor-thy of clinical promotion.
3.The modified Valsalva maneuver in hypopharynx CT scan.
Xuhui LIANG ; Fenglei XU ; Ming XIA ; Lihui ZHUANG ; Xiaoming LI ; Xiaozhi HOU ; Qi ZHANG ; Jiangfei YANG
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2023;37(5):343-349
Objective:To analyze the significance and factors influencing of CT scan under the modified Valsalva maneuver. Methods:Clinical data of 52 patients with hypopharyngeal carcinoma diagnosed from August 2021 to December 2022 were collected, all patients had calm breathing CT scan and modified Valsalva maneuver CT scan. Compare the exposure effect of the aryepiglottic fold, interarytenoid fold, postcricoid area, piriform fossa apex, posterior hypopharyngeal wall, and glottis with each CT scanning method. The effects of age, neck circumference, neck length, BMI, tumor site, and T stage on the exposure effect were analyzed. Results:In 52 patients, 50 patients(96.15%) completed CT scan at once time. The exposure effect of the CT scan under modified Valsalva maneuver in the aryepiglottic fold, interarytenoid fold, postcricoid area, piriform fossa apex, posterior hypopharyngeal wall was significantly better than CT scan under calm breathing(Z=-4.002, -8.026, -8.349, -7.781, -8.608, all P<0.01), while CT scan under modified Valsalva maneuver was significantly worse in glottis than CT scan under calm breathing(Z=-3.625, P<0.01). In the modified Valsalva CT scan, age had no obvious effect on the exposure effect. The exposure effect was better with long neck length, smaller neck circumference, smaller BMI and smaller T stage. The exposure of postcricoid carcinoma was better than pyriform sinus carcinoma and posterior hypopharyngeal wall carcinoma. But differences were not all statistically significant. Conclusion:The anatomical structure of the hypopharynx was clearly under CT scan with modified Valsalva maneuver, which clinical application is simple, but the effect of glottis was worse. The influence of age, neck circumference, neck length, BMI, and tumor T stage on the exposure effect still needs further investigation.
Humans
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Hypopharynx/diagnostic imaging*
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Valsalva Maneuver
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Hypopharyngeal Neoplasms/surgery*
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Tomography, X-Ray Computed
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Carcinoma