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BackgroundRadiation proctitis is a common complication after radiotherapy for cervical cancer. Unlike simple radiation damage to other organs, radiation proctitis is a complex disease closely related to the microbiota. However, analysis of the gut microbiota is time-consuming and expensive. This study aims to mine rectal information using radiomics and incorporate it into a nomogram model for cheap and fast prediction of severe radiation proctitis prediction in postoperative cervical cancer patients.MethodsThe severity of the patient’s radiation proctitis was graded according to the RTOG/EORTC criteria. The toxicity grade of radiation proctitis over or equal to grade 2 was set as the model’s target. A total of 178 patients with cervical cancer were divided into a training set (n = 124) and a validation set (n = 54). Multivariate logistic regression was used to build the radiomic and non-raidomic models.ResultsThe radiomics model [AUC=0.6855(0.5174-0.8535)] showed better performance and more net benefit in the validation set than the non-radiomic model [AUC=0.6641(0.4904-0.8378)]. In particular, we applied SHapley Additive exPlanation (SHAP) method for the first time to a radiomics-based logistic regression model to further interpret the radiomic features from case-based and feature-based perspectives. The integrated radiomic model enables the first accurate quantitative assessment of the probability of radiation proctitis in postoperative cervical cancer patients, addressing the limitations of the current qualitative assessment of the plan through dose-volume parameters only.ConclusionWe successfully developed and validated an integrated radiomic model containing rectal information. SHAP analysis of the model suggests that radiomic features have a supporting role in the quantitative assessment of the probability of radiation proctitis in postoperative cervical cancer patients.

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Abstract. Because of its own characteristics and the complexities of driving conditions, Tractor-Semitrailer easily produce shimmy when driving at the high speed. In order to effectively control the high-speed shimmy of Tractor-Semitrailer, differential braking control strategy based on sliding mode variable structure control theory is proposed, and the Corresponding controller is designed. Then, the Simulink controller model and the TruckSim Tractor-Semitrailer vehicle dynamic model are respectively set up, then carried out co-simulation to compare controlled and uncontrolled Tractor-Semitrailer' driving state at high speed . The results show that the proposed control strategy can effectively reduce yaw velocity and roll angle produced by shimmy at high speed driving, so as to achieve the purposes that controlling the high-speed shimmy and improving the stability of Tractor-Semitrailer traveling at high speed .