FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4316654313> ?p ?o ?g. }

• W4316654313 abstract "Abstract Background Deep-learning-based computer-aided diagnosis (DL-CAD) systems using MRI for prostate cancer (PCa) detection have demonstrated good performance. Nevertheless, DL-CAD systems are vulnerable to high heterogeneities in DWI, which can interfere with DL-CAD assessments and impair performance. This study aims to compare PCa detection of DL-CAD between zoomed-field-of-view echo-planar DWI (z-DWI) and full-field-of-view DWI (f-DWI) and find the risk factors affecting DL-CAD diagnostic efficiency. Methods This retrospective study enrolled 354 consecutive participants who underwent MRI including T2WI, f-DWI, and z-DWI because of clinically suspected PCa. A DL-CAD was used to compare the performance of f-DWI and z-DWI both on a patient level and lesion level. We used the area under the curve (AUC) of receiver operating characteristics analysis and alternative free-response receiver operating characteristics analysis to compare the performances of DL-CAD using f- DWI and z-DWI. The risk factors affecting the DL-CAD were analyzed using logistic regression analyses. P values less than 0.05 were considered statistically significant. Results DL-CAD with z-DWI had a significantly better overall accuracy than that with f-DWI both on patient level and lesion level (AUC patient : 0.89 vs. 0.86; AUC lesion : 0.86 vs. 0.76; P < .001). The contrast-to-noise ratio (CNR) of lesions in DWI was an independent risk factor of false positives (odds ratio [OR] = 1.12; P < .001). Rectal susceptibility artifacts, lesion diameter, and apparent diffusion coefficients (ADC) were independent risk factors of both false positives (OR rectal susceptibility artifact = 5.46; OR diameter, = 1.12; OR ADC = 0.998; all P < .001) and false negatives (OR rectal susceptibility artifact = 3.31; OR diameter = 0.82; OR ADC = 1.007; all P ≤ .03) of DL-CAD. Conclusions Z-DWI has potential to improve the detection performance of a prostate MRI based DL-CAD. Trial registration ChiCTR, NO. ChiCTR2100041834 . Registered 7 January 2021." @default.
• W4316654313 created "2023-01-17" @default.
• W4316654313 creator A5000506964 @default.
• W4316654313 creator A5013005956 @default.
• W4316654313 creator A5013218779 @default.
• W4316654313 creator A5013558185 @default.
• W4316654313 creator A5015373812 @default.
• W4316654313 creator A5019660907 @default.
• W4316654313 creator A5027472697 @default.
• W4316654313 creator A5028351340 @default.
• W4316654313 creator A5029495151 @default.
• W4316654313 creator A5035335524 @default.
• W4316654313 creator A5039496036 @default.
• W4316654313 creator A5042253582 @default.
• W4316654313 creator A5045685094 @default.
• W4316654313 creator A5048998957 @default.
• W4316654313 creator A5054113582 @default.
• W4316654313 creator A5054345200 @default.
• W4316654313 creator A5059839384 @default.
• W4316654313 creator A5061236362 @default.
• W4316654313 creator A5064564309 @default.
• W4316654313 creator A5068163384 @default.
• W4316654313 creator A5068568705 @default.
• W4316654313 creator A5077513967 @default.
• W4316654313 creator A5084661620 @default.
• W4316654313 date "2023-01-17" @default.
• W4316654313 modified "2023-10-14" @default.
• W4316654313 title "Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique" @default.
• W4316654313 cites W1939125751 @default.
• W4316654313 cites W1977513759 @default.
• W4316654313 cites W2016888482 @default.
• W4316654313 cites W2021436151 @default.
• W4316654313 cites W2068087459 @default.
• W4316654313 cites W2102524548 @default.
• W4316654313 cites W2109923019 @default.
• W4316654313 cites W2121642414 @default.
• W4316654313 cites W2127036910 @default.
• W4316654313 cites W2286590995 @default.
• W4316654313 cites W2584372647 @default.
• W4316654313 cites W2751670598 @default.
• W4316654313 cites W2772723798 @default.
• W4316654313 cites W2793169235 @default.
• W4316654313 cites W2804243838 @default.
• W4316654313 cites W2896446079 @default.
• W4316654313 cites W2919308409 @default.
• W4316654313 cites W2919509846 @default.
• W4316654313 cites W2922071185 @default.
• W4316654313 cites W2943766455 @default.
• W4316654313 cites W2962700793 @default.
• W4316654313 cites W2999091210 @default.
• W4316654313 cites W3018911559 @default.
• W4316654313 cites W3040242891 @default.
• W4316654313 cites W3045247358 @default.
• W4316654313 cites W3084915403 @default.
• W4316654313 cites W3107645027 @default.
• W4316654313 cites W3110793907 @default.
• W4316654313 cites W3122924283 @default.
• W4316654313 cites W3133779538 @default.
• W4316654313 cites W3148634016 @default.
• W4316654313 cites W3200921313 @default.
• W4316654313 doi "https://doi.org/10.1186/s40644-023-00527-0" @default.
• W4316654313 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36647150" @default.
• W4316654313 hasPublicationYear "2023" @default.
• W4316654313 type Work @default.
• W4316654313 citedByCount "0" @default.
• W4316654313 crossrefType "journal-article" @default.
• W4316654313 hasAuthorship W4316654313A5000506964 @default.
• W4316654313 hasAuthorship W4316654313A5013005956 @default.
• W4316654313 hasAuthorship W4316654313A5013218779 @default.
• W4316654313 hasAuthorship W4316654313A5013558185 @default.
• W4316654313 hasAuthorship W4316654313A5015373812 @default.
• W4316654313 hasAuthorship W4316654313A5019660907 @default.
• W4316654313 hasAuthorship W4316654313A5027472697 @default.
• W4316654313 hasAuthorship W4316654313A5028351340 @default.
• W4316654313 hasAuthorship W4316654313A5029495151 @default.
• W4316654313 hasAuthorship W4316654313A5035335524 @default.
• W4316654313 hasAuthorship W4316654313A5039496036 @default.
• W4316654313 hasAuthorship W4316654313A5042253582 @default.
• W4316654313 hasAuthorship W4316654313A5045685094 @default.
• W4316654313 hasAuthorship W4316654313A5048998957 @default.
• W4316654313 hasAuthorship W4316654313A5054113582 @default.
• W4316654313 hasAuthorship W4316654313A5054345200 @default.
• W4316654313 hasAuthorship W4316654313A5059839384 @default.
• W4316654313 hasAuthorship W4316654313A5061236362 @default.
• W4316654313 hasAuthorship W4316654313A5064564309 @default.
• W4316654313 hasAuthorship W4316654313A5068163384 @default.
• W4316654313 hasAuthorship W4316654313A5068568705 @default.
• W4316654313 hasAuthorship W4316654313A5077513967 @default.
• W4316654313 hasAuthorship W4316654313A5084661620 @default.
• W4316654313 hasBestOaLocation W43166543131 @default.
• W4316654313 hasConcept C112705442 @default.
• W4316654313 hasConcept C121608353 @default.
• W4316654313 hasConcept C126322002 @default.
• W4316654313 hasConcept C126838900 @default.
• W4316654313 hasConcept C127413603 @default.
• W4316654313 hasConcept C142724271 @default.
• W4316654313 hasConcept C143409427 @default.
• W4316654313 hasConcept C149550507 @default.
• W4316654313 hasConcept C151956035 @default.
• W4316654313 hasConcept C154945302 @default.

• next