Multi-Slice Spiral Computed Tomography Image Features under Hybrid Iterative Reconstruction Algorithm in Staging Diagnosis of Bladder Cancer.

Lan Zang

doi:10.1155/2021/7733654

Abstract

Objective This study was aimed to explore the accuracy of multi-slice spiral computed tomography (CT) scan in preoperative staging diagnosis of bladder cancer based on hybrid iterative reconstruction algorithm, so as to provide a more reasonable supporting basis for guiding clinical work in the future. Methods Retrospectively, 120 patients admitted to hospital from July 2019 to April 2021, who were confirmed to be with urothelial carcinoma of the bladder by pathological examination after surgical treatment, were selected. CT images before processing were set as the control group and those after processing were set as the observation group according to whether they were processed by the hybrid iterative algorithm. Postoperative pathological examination was utilized as the standard for analysis. The accuracy and consistency of the two methods were compared. Results The accuracy of the results of each stage of the observation group (T1 stage: 91.09%, T2 stage: 89.66%, T3 stage: 88.89%, and T4 stage: 88.89%) and consistency (T1 stage: 0.66, T2 stage: 0.69, T3 stage: 0.71, and T4 stage: 0.82) were higher than those of the control group (accuracy: T1—57.01%, T2—48.28%, T3—44.44%, and T4—44.44%). The consistency was as follows: T1—0.32, T2—0.24, T3—0.37, and T4—0.43, and the comparison was statistically significant (P < 0.05). Conclusion The adoption value of the image features based on the hybrid iterative reconstruction algorithm in the diagnosis of bladder cancer staging was higher than that of the conventional multi-slice spiral CT, indicating that the hybrid iterative reconstruction algorithm had a good adoption prospect in clinical examination.

Highlights

Bladder cancer is a malignant tumor originating from urinary mucosal epithelial cells and is one of the most common urinary malignancies, with its incidence ranking first among all genitourinary tumors in China [1,2,3]. ere is no limit to the age of onset of the disease, which can even occur in children, and the incidence of the disease will increase with the increase of age, with a high incidence between 50 and 70 years old [4, 5]
Verification Results of the Hybrid Iterative Reconstruction Algorithm. e 120 kV/200 mA filtered back projection (FBP) algorithm and the 120 kV/90 mA hybrid iterative reconstruction algorithm were utilized for clinical verification. e effects of different parts are shown in Figure 3, Figure 4, and Figure 5. e results all showed that under the condition of reducing the radiation dose, the hybrid iterative reconstruction algorithm maintained the image quality, met the needs of clinical diagnosis of different visceral diseases, and can be utilized in this experimental study
Among the 163 tumors, 84 tumors occurred in the lateral wall, tumors occurred in the posterior wall, and tumors occurred in other parts. e results were consistent with the above statistical results. en, the computed tomography (CT) images of the observation group and the control group were compared with the pathological diagnosis results in terms of the number of cancerous lesions, the diameter of lesions, and the diagnosis of tumor sites, and the results showed no considerable differences

Summary

Introduction

Bladder cancer is a malignant tumor originating from urinary mucosal epithelial cells and is one of the most common urinary malignancies, with its incidence ranking first among all genitourinary tumors in China [1,2,3]. ere is no limit to the age of onset of the disease, which can even occur in children, and the incidence of the disease will increase with the increase of age, with a high incidence between 50 and 70 years old [4, 5]. The incidence of bladder cancer in males is 3–4 times that of females [6]. Erefore, the treatment of bladder cancer has become the focus of attention, and the choice of treatment depends on the clinical staging of bladder cancer. The misdiagnosis rate of clinical staging of bladder cancer is about 25%–50% [8]. The commonly utilized detection methods of bladder cancer in clinical mainly include B-mode ultrasound, computed tomography (CT), magnetic resonance imaging (MRI), and cystoscopy. B-mode ultrasound, MRI, and cystoscopy all have various limitations. The resolution of the B-mode ultrasound is low, and the cystoscope will cause damage to the patient. CT is insufficient in the detection of small lesions, with staging

Methods

Results

Discussion

Conclusion