Review article: MRI-targeted biopsies for prostate cancer diagnosis and management

Noureldin, Mohamed; Eldred‐Evans, David; Khoo, Christopher C.; Winkler, Mathias; Sokhi, Heminder; Tam, Henry; Ahmed, Hashim U.

doi:10.1007/s00345-020-03182-3

Cited by 13 publications

(12 citation statements)

References 34 publications

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“…Currently, typical clinical diagnosis methods for PCa include digital rectal examination (DRE), serum prostate specific antigen (PSA) level measurement, multiparametric magnetic resonance imaging (mpMRI), and trans-rectal ultrasound (TRUS) guided biopsy ( 6 ). However, each of these methods can only identify a proportion of cancers.…”

Section: Introductionmentioning

confidence: 99%

Identification of candidate hub genes correlated with the pathogenesis, diagnosis, and prognosis of prostate cancer by integrated bioinformatics analysis

Wei¹,

Liang²,

Anderson³

et al. 2022

Transl Cancer Res TCR

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Background: Prostate cancer (PCa) has the second highest morbidity and mortality rates in men.Concurrently, novel diagnostic and prognostic biomarkers of PCa remain crucial.Methods: This study utilized integrated bioinformatics method to identify and validate the potential hub genes with high diagnostic and prognostic value for PCa.Results: Four Gene Expression Omnibus (GEO) datasets including 123 PCa samples and 76 normal samples were screened and a total of 368 differentially expressed genes (DEGs), including 120 up-regulated DEGs and 248 down-regulated DEGs, were identified. Subsequent Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that the DEGs were majorly enriched in focal adhesion, chemical carcinogenesis, drug metabolism, and cytochrome P450 pathways. Then, 11 hub genes were identified from the protein-protein interaction (PPI) network of the DEGs; 7 of the 11 genes showed the ability of distinguishing PCa from normal prostate based on receiver operating characteristic (ROC) curve analysis. And 5 of the 11 genes were correlated with clinical attributes. Lower CAV1, KRT5, SNAI2 and MYLK expression level were associated with higer Gleason score, advanced pathological T stage and N stage. Lower KRT5 and MYLK expression level were significantly correlated with poor disease-free survival, and lower KRT5 and PTGS2 expression level were significantly related to biochemical recurrence (BCR) status of PCa patients. Conclusions:In conclusion, CAV1, KRT5, SNAI2, and MYLK show potential clinical diagnostic and prognostic value and could be used as novel candidate biomarkers and therapeutic targets for PCa.

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Section: Introductionmentioning

confidence: 99%

Identification of candidate hub genes correlated with the pathogenesis, diagnosis, and prognosis of prostate cancer by integrated bioinformatics analysis

Wei¹,

Liang²,

Anderson³

et al. 2022

Transl Cancer Res TCR

View full text Add to dashboard Cite

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“…Recently, there has been increasing utilisation of magnetic resonance imaging-targeted biopsies, transperineal prostate biopsies (TPBs), and other changes [ 9 , 10 ]. These diagnostic techniques offer superior ability to detect and predict disease [ [11] , [12] , [13] , [14] , [15] ].…”

Section: Introductionmentioning

confidence: 99%

Impact of delay from transperineal biopsy to radical prostatectomy upon objective measures of cancer control

Jack

Perera

et al. 2022

Asian Journal of Urology

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“…In Europe and America, the incidence of PCa accounted for the first in masculine malignant tumor and the mortality rate occupied the second. While in China, there were more than 100000 new PCa patients each year ( 2 ). A large number of studies had shown that when it occurred to clinical symptoms, most patients had entered the advanced stage ( 3 ).…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional ultrasound integrating nomogram and the blood flow image for prostate cancer diagnosis and biopsy: A retrospective study

Chen

Niu²,

Chen³

et al. 2022

Front. Oncol.

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BackgroundsProstate cancer (PCa) is the second most common male cancer in the world and based on its high prevalence and overwhelming effect on patients, more precise diagnostic and therapeutic methods are essential research topics. As such, this study aims to evaluate the value of three-dimensional transrectal ultrasound (3D-TRUS) in the detection, diagnosis and biopsy of PCa, and to provide a basis for clinical practice of PCa.MethodsRetrospective analysis and comparison of a total of 401 male patients who underwent prostate TRUS in our hospital from 2019 to 2020 were conducted, with all patients having prostate biopsy. Nomogram was used to estimate the probability of different ultrasound signs in diagnosing prostate cancer. The ROC curve was used to estimate the screening and diagnosis rates of 3D-TRUS, MRI and TRUS for prostate cancer.ResultsA total of 401 patients were randomly divided into two groups according to different methods of prostate ultrasonography, namely the TRUS group (251 patients) and the 3D-TRUS group (150 patients). Of these cases, 111 patients in 3D-TRUS group underwent MRI scan. The nomogram further determined the value of 3D-TRUS for prostate cancer. The ROC AUC of prostate cancer detected by TRUS, MRI and 3D-TRUS was 0.5580, 0.6216 and 0.6267 respectively. Biopsy complications were lower in 3D-TRUS group than TRUS group, which was statistically significant (P<0.005).ConclusionsThe accuracy of 3D-TRUS was higher in diagnosis and biopsy of prostate cancer. Meanwhile, the positive rate of biopsy could be improved under direct visualization of 3D-TRUS, and the complications could be decreased markedly. Therefore, 3D-TRUS was of high clinical value in diagnosis and biopsy of prostate cancer.

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Review article: MRI-targeted biopsies for prostate cancer diagnosis and management

Cited by 13 publications

References 34 publications

Identification of candidate hub genes correlated with the pathogenesis, diagnosis, and prognosis of prostate cancer by integrated bioinformatics analysis

Identification of candidate hub genes correlated with the pathogenesis, diagnosis, and prognosis of prostate cancer by integrated bioinformatics analysis

Impact of delay from transperineal biopsy to radical prostatectomy upon objective measures of cancer control

Three-dimensional ultrasound integrating nomogram and the blood flow image for prostate cancer diagnosis and biopsy: A retrospective study

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