Bladder Cancer highlighted

Favorito, Luciano A.

doi:10.1590/s1677-5538.ibju.2020.02.01

Cited by 2 publications

(3 citation statements)

References 8 publications

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“…According to GLOBOCAN statistics, bladder cancer makes up 3% of global cancer cases and is especially common in developed nations [ 15 ]. According to data from the United States, bladder cancer ranks as the sixth most prevalent type of cancer [ 16 ]. Individuals aged 55 and above account for 90% of bladder cancer cases, with men being four times more susceptible to the disease compared to women [ 17 ].…”

Section: Discussionmentioning

confidence: 99%

Analysis of Bladder Cancer Staging Prediction Using Deep Residual Neural Network, Radiomics, and RNA-Seq from High-Definition CT Images

Zhou,

Zheng,

Sun

et al. 2024

Genetics Research

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Bladder cancer has recently seen an alarming increase in global diagnoses, ascending as a predominant cause of cancer-related mortalities. Given this pressing scenario, there is a burgeoning need to identify effective biomarkers for both the diagnosis and therapeutic guidance of bladder cancer. This study focuses on evaluating the potential of high-definition computed tomography (CT) imagery coupled with RNA-sequencing analysis to accurately predict bladder tumor stages, utilizing deep residual networks. Data for this study, including CT images and RNA-Seq datasets for 82 high-grade bladder cancer patients, were sourced from the TCIA and TCGA databases. We employed Cox and lasso regression analyses to determine radiomics and gene signatures, leading to the identification of a three-factor radiomics signature and a four-gene signature in our bladder cancer cohort. ROC curve analyses underscored the strong predictive capacities of both these signatures. Furthermore, we formulated a nomogram integrating clinical features, radiomics, and gene signatures. This nomogram’s AUC scores stood at 0.870, 0.873, and 0.971 for 1-year, 3-year, and 5-year predictions, respectively. Our model, leveraging radiomics and gene signatures, presents significant promise for enhancing diagnostic precision in bladder cancer prognosis, advocating for its clinical adoption.

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Section: Discussionmentioning

confidence: 99%

Analysis of Bladder Cancer Staging Prediction Using Deep Residual Neural Network, Radiomics, and RNA-Seq from High-Definition CT Images

Zhou,

Zheng,

Sun

et al. 2024

Genetics Research

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“…Bladder cancer (BCa) is a malignant tumour originating from the urothelium of the bladder and is one of the most common malignancies of the urinary system 1–3 . Global cancer statistics from 2020 show that BCa ranks ninth in incidence and thirteenth in mortality among all cancers 4 .…”

Section: Introductionmentioning

confidence: 99%

“…Bladder cancer (BCa) is a malignant tumour originating from the urothelium of the bladder and is one of the most common malignancies of the urinary system. 1 , 2 , 3 Global cancer statistics from 2020 show that BCa ranks ninth in incidence and thirteenth in mortality among all cancers. 4 With the widespread use and development of laparoscopic technology in urology, laparoscopic radical cystectomy has become the main treatment for BCa.…”

Section: Introductionmentioning

confidence: 99%

Impacts of enhanced recovery after surgery nursing interventions on wound infection and complications following bladder cancer surgery: A meta‐analysis

Yang,

Nie,

Xiao

et al. 2024

International Wound Journal

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A meta‐analysis was executed to comprehensively examine the impacts of enhanced recovery after surgery (ERAS) care interventions on complications and wound infections following bladder cancer (BCa) surgery. Computer searches were carried out in Embase, Google Scholar, Cochrane Library, PubMed, Wanfang and CNKI, from their inception to November 2023, for RCTs regarding perioperative ERAS nursing interventions in patients with BCa. Two independent researchers performed literature screening, extracted data and carried out quality evaluations. Stata 17.0 software was utilized for the analysis of the data. Ultimately, 16 RCTs, involving 1190 patients, were included. The analysis showed that, in comparison with conventional nursing methods, perioperative ERAS nursing application in patients with BCa remarkably decreased the occurrence of wound infections (OR: 0.31, 95% CI: 0.16–0.59) and complications (OR: 0.19, 95% CI: 0.13–0.28). Our study indicates that perioperative care based on the ERAS concept remarkably decreased the occurrence of wound infections and complications following BCa surgery, demonstrating notable nursing efficacy and meriting widespread clinical promotion.

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Bladder Cancer highlighted

Cited by 2 publications

References 8 publications

Analysis of Bladder Cancer Staging Prediction Using Deep Residual Neural Network, Radiomics, and RNA-Seq from High-Definition CT Images

Analysis of Bladder Cancer Staging Prediction Using Deep Residual Neural Network, Radiomics, and RNA-Seq from High-Definition CT Images

Impacts of enhanced recovery after surgery nursing interventions on wound infection and complications following bladder cancer surgery: A meta‐analysis

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