Preliminary study of diffusion-weighted MRI in the preoperative diagnosis of cystitis glandularis

Wang, H.-J.; Pui, Margaret H.; Guo, Yan; Guan, Jian; Zhang, X.-L.; Liu, M.-J.; Li, S.-R.; Lin, Jinhua

doi:10.1016/j.crad.2016.05.008

Cited by 9 publications

(11 citation statements)

References 11 publications

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“…Additionally, some authors have reported that these masses can progress to bladder adenocarcinoma [ 6 – 8 ]. Patients with CG usually have hematuria as well as CT, ultrasound, and magnetic resonance imaging findings of diffuse bladder wall thickening or nodules, similar to those of bladder malignancy [ 5 , 9 ]. Transurethral resection is recommended for treatment of CG [ 10 ].…”

Section: Discussionmentioning

confidence: 99%

“…On cystoscopic examination, CG often presents as an irregular nodular lesion that sometimes simulates a neoplasm [ 4 ]. It is usually misdiagnosed as bladder cancer because its clinical and imaging features mimic those of urothelial carcinoma [ 5 , 6 ]. Biopsy performed by cystoscopy enables acquisition of only part of the lesion and is therefore inaccurate [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

“…It is usually misdiagnosed as bladder cancer because its clinical and imaging features mimic those of urothelial carcinoma [ 5 , 6 ]. Biopsy performed by cystoscopy enables acquisition of only part of the lesion and is therefore inaccurate [ 5 ]. The purpose of this study was to evaluate the efficacy of quantitative analysis of enhanced computed tomography (CT) values for differentiating CG from bladder cancer.…”

Section: Introductionmentioning

confidence: 99%

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Quantitative Analysis of Enhanced Computed Tomography in Differentiating Cystitis Glandularis and Bladder Cancer

Hua

Gao

Lin

et al. 2020

BioMed Research International

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Objective. This study was performed to assess the value of quantitative analysis of enhanced computed tomography (CT) values in the differential diagnosis of bladder cancer and cystitis glandularis (CG). Methods. Eighty patients with bladder masses (39 with CG and 41 with bladder cancer) who underwent enhanced CT were retrospectively reviewed. The CT enhancement values of the lesion and normal bladder wall in the arterial phase, venous phase, and delayed phase were measured. The relative enhancement CT values (relative enhancement CT value=enhancement CT value of lesion−enhancement CT value of normal bladder) in the arterial phase, venous phase, and delayed phase were also calculated. The pathological results were used as the gold standard, and the area under the curve (AUC), sensitivity, and specificity were calculated for the six groups of quantitative indicators (enhanced CT values and relative enhanced CT values of CG and bladder cancer in the arterial, venous, and delayed phases). We performed the leave-group-out cross-validation method to validate the accuracy, AUC, sensitivity, and specificity. The differences in accuracy, AUC, sensitivity, and specificity among the six groups of quantitative indicators were compared by the t-test. Results. In a combined analysis of the AUC, sensitivity, and specificity performance, the best indicator was the arterial-phase relative enhancement CT value with a cut-off of 25.85 HU (AUC, 0.966; sensitivity, 95.1%; specificity, 92.3%). We used the 100-times leave-group-out cross-validation method to validate the accuracy, AUC, sensitivity, and specificity. Arterial-phase relative enhancement CT values showed the highest AUC and accuracy among the six groups, with statistical significance (P<0.05). Conclusion. Quantitative analysis of enhanced CT is of great clinical value in the differential diagnosis of CG and bladder cancer.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Quantitative Analysis of Enhanced Computed Tomography in Differentiating Cystitis Glandularis and Bladder Cancer

Hua

Gao

Lin

et al. 2020

BioMed Research International

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“…Studies showed that radiomics features predict the outcome and differentiation of MIBC (19,20). Other studies found that imaging parameters such as MRI distinguished BC from cystitis and aided differentiation of pathological grades of BC (21,22). There is an urgent need to develop objective and noninvasive techniques to distinguish NMIBC from MIBC before surgery and provide information to determine the necessity and adequacy of adjuvant therapy.…”

Section: Discussionmentioning

confidence: 99%

A nomogram combined with radiomics features, albuminuria, and metabolic syndrome to predict the risk of myometrial invasion of bladder cancer

Zhou¹,

Zhang²,

Ang³

et al. 2021

Transl Cancer Res TCR

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Background: To establish a preoperative prediction model of myometrial invasion of bladder cancer (BC) based on the radiomics characteristics of multi-parameter thin-slice enhanced computed tomography (CT) imaging.Methods: Data from 100 patients with BC were analyzed retrospectively. The patients were divided into two groups: muscular invasive BC and non-muscular invasive BC. The tumor region was segmented from enhanced CT images (arterial-and venous-phase calibration maps) of all patients using Slicer-3D software. We extracted 1,223 texture features from tumor image data based on the shape and gray-level co-occurrence matrix, gray size region matrix, gray run-length matrix, adjacent gray difference matrix, and gray correlation matrix. The patients were randomly divided into a training group (n=70) and a verification group (n=30) in a 7:3 ratio. Interclass correlation coefficients >0.75, least absolute shrinkage, and selection operator regression were used for feature selection. The prediction model was established by combining Rad-score, independent clinical factors, and support vector machine (SVM), and a radiomics nomogram was constructed. The nomogram was tested using the consistency index, calibration curve, time-dependent receiver operating characteristic curve, and clinical decision curve to predict the myometrial invasion of the bladder preoperatively.Results: Six radiomics features that were significantly related to myometrial invasion of BC were selected to construct a predictive model. The area under the curve (AUC) values of training group and verification group based on SVM were 0.898 (95% CI: 0.820-0.976) and 0.702 (95% CI: 0.495-0.909), respectively.Single factor and multiple factor analysis showed that albuminuria (95% CI: 0.243-2.206, P=0.0014) and metabolic syndrome (95% CI: 0.850-2.935, P<0.001) were independent influencing factors of BC myometrial invasion. Clinical factors and 11 radiomics features were used to construct a comprehensive model for predicting the pathological grade of BC (radiomics + clinical). After a comprehensive comparison, we found that the overall effectiveness of the model (radiomics + clinical) was the highest (AUC =0.8457). Conclusions:Based on the multi-parameter thin-layer enhanced CT radiomics feature can be used as a potential independent predictor of BC myometrial invasion, the model based on parameters can initially quantitatively characterize the risk of myometrial invasion, and has excellent potential for predicting myometrial invasion of BC.

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“…The pathogenesis of CG is associated with pathological consequence of normal bladder urothelial metaplasia, caused by chronic irritation including bladder infection, obstruction, and stones 3 . Due to inconspicuous symptoms in early staging CG, the first detection with CG is deferred and the early clinical screening for CG is also scant 4 . Clinically, refractory CG can be treated with cystectomy or partial cystectomy 5 .…”

Section: Introductionmentioning

confidence: 99%

Bioinformatics and experimental findings reveal the therapeutic actions and targets of pachymic acid against cystitis glandularis

Shi

Liang

et al. 2021

BioFactors

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Pachymic acid (PA), a bioactive ingredient isolated from Poria cocos Wolf, is reported with potential benefits of anti‐inflammatory, anti‐oxidative actions. It is reasoned that PA may play the potential benefits against cystitis glandularis (CG), an inflammation of the bladder tissue. In this study, we aimed to apply the network pharmacology and molecular docking analyses to reveal concrete anti‐CG targets and mechanisms of PA, and then the bioinformatic findings were verified by using clinical and animal samples. The methodological data from network pharmacology approach showed that 303 and 243 reporting targets of CG and PA, and other 31 shared targets of CG and PA were identified. Subsequently, all top targets of PA against CG were screened out, including cyclooxygenase‐2, epidermal growth factor receptor, tumor antigen p53 (TP53), tumor necrosis factor‐alpha (TNF), interleukin‐1 (IL‐1) beta, proto‐oncogene c‐jun. Molecular docking data demonstrated that PA exerted potent bonding capacities with TNF, TP53 proteins in CG. In human study, the findings suggested that overactivated TNF‐α expression and suppressed TP53 activation were detected in CG samples. In animal study, PA‐treated mice showed reduced intravesical IL‐1, IL‐6 levels, and lactate dehydrogenase content, downregulated TNF‐α and upregulated TP53 proteins in bladder samples. Taken together, our bioinformatics and experimental findings identify the key anti‐CG biotargets and mechanisms of PA. More markedly, these pivotal pharmacological targets of PA against CG have been screened out and verified by using computational and experimental analyses.

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Preliminary study of diffusion-weighted MRI in the preoperative diagnosis of cystitis glandularis

Cited by 9 publications

References 11 publications

Quantitative Analysis of Enhanced Computed Tomography in Differentiating Cystitis Glandularis and Bladder Cancer

Quantitative Analysis of Enhanced Computed Tomography in Differentiating Cystitis Glandularis and Bladder Cancer

A nomogram combined with radiomics features, albuminuria, and metabolic syndrome to predict the risk of myometrial invasion of bladder cancer

Bioinformatics and experimental findings reveal the therapeutic actions and targets of pachymic acid against cystitis glandularis

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