FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4200345488> ?p ?o ?g. }

• W4200345488 abstract "Radiologists' diagnostic capabilities for breast mass lesions depend on their experience. Junior radiologists may underestimate or overestimate Breast Imaging Reporting and Data System (BI-RADS) categories of mass lesions owing to a lack of diagnostic experience. The computer-aided diagnosis (CAD) method assists in improving diagnostic performance by providing a breast mass classification reference to radiologists. This study aims to evaluate the impact of a CAD method based on perceptive features learned from quantitative BI-RADS descriptions on breast mass diagnosis performance. We conducted a retrospective multi-reader multi-case (MRMC) study to assess the perceptive feature-based CAD method. A total of 416 digital mammograms of patients with breast masses were obtained from 2014 through 2017, including 231 benign and 185 malignant masses, from which we randomly selected 214 cases (109 benign, 105 malignant) to train the CAD model for perceptive feature extraction and classification. The remaining 202 cases were enrolled as the test set for evaluation, of which 51 patients (29 benign and 22 malignant) participated in the MRMC study. In the MRMC study, we categorized six radiologists into three groups: junior, middle-senior, and senior. They diagnosed 51 patients with and without support from the CAD model. The BI-RADS category, benign or malignant diagnosis, malignancy probability, and diagnosis time during the two evaluation sessions were recorded. In the MRMC evaluation, the average area under the curve (AUC) of the six radiologists with CAD support was slightly higher than that without support (0.896 vs. 0.850, p = 0.0209). Both average sensitivity and specificity increased (p = 0.0253). Under CAD assistance, junior and middle-senior radiologists adjusted the assessment categories of more BI-RADS 4 cases. The diagnosis time with and without CAD support was comparable for five radiologists. The CAD model improved the radiologists' diagnostic performance for breast masses without prolonging the diagnosis time and assisted in a better BI-RADS assessment, especially for junior radiologists." @default.
• W4200345488 created "2021-12-31" @default.
• W4200345488 creator A5000253316 @default.
• W4200345488 creator A5002156862 @default.
• W4200345488 creator A5008660322 @default.
• W4200345488 creator A5012843035 @default.
• W4200345488 creator A5025079276 @default.
• W4200345488 creator A5031046706 @default.
• W4200345488 creator A5031770114 @default.
• W4200345488 creator A5031987827 @default.
• W4200345488 creator A5033986825 @default.
• W4200345488 creator A5034133337 @default.
• W4200345488 creator A5044367029 @default.
• W4200345488 creator A5049623649 @default.
• W4200345488 creator A5059499077 @default.
• W4200345488 creator A5060542004 @default.
• W4200345488 creator A5068304714 @default.
• W4200345488 creator A5080810304 @default.
• W4200345488 creator A5091778076 @default.
• W4200345488 date "2021-12-17" @default.
• W4200345488 modified "2023-09-26" @default.
• W4200345488 title "Can a Computer-Aided Mass Diagnosis Model Based on Perceptive Features Learned From Quantitative Mammography Radiology Reports Improve Junior Radiologists’ Diagnosis Performance? An Observer Study" @default.
• W4200345488 cites W1917647701 @default.
• W4200345488 cites W1974876475 @default.
• W4200345488 cites W1985164435 @default.
• W4200345488 cites W1988264599 @default.
• W4200345488 cites W1992364439 @default.
• W4200345488 cites W2000058857 @default.
• W4200345488 cites W2051110825 @default.
• W4200345488 cites W2100940783 @default.
• W4200345488 cites W2106028737 @default.
• W4200345488 cites W2149291062 @default.
• W4200345488 cites W2200566924 @default.
• W4200345488 cites W2299565249 @default.
• W4200345488 cites W2492170386 @default.
• W4200345488 cites W2493683088 @default.
• W4200345488 cites W250128136 @default.
• W4200345488 cites W2510224130 @default.
• W4200345488 cites W2539558234 @default.
• W4200345488 cites W2551660187 @default.
• W4200345488 cites W2588570836 @default.
• W4200345488 cites W2761100306 @default.
• W4200345488 cites W2765666676 @default.
• W4200345488 cites W2766061684 @default.
• W4200345488 cites W2801301435 @default.
• W4200345488 cites W2901743512 @default.
• W4200345488 cites W2915602243 @default.
• W4200345488 cites W2936218643 @default.
• W4200345488 cites W2966285781 @default.
• W4200345488 cites W2966665347 @default.
• W4200345488 cites W2975029521 @default.
• W4200345488 cites W2980030301 @default.
• W4200345488 cites W3018760760 @default.
• W4200345488 cites W3101755009 @default.
• W4200345488 cites W3159480464 @default.
• W4200345488 cites W3159635797 @default.
• W4200345488 cites W3180226778 @default.
• W4200345488 doi "https://doi.org/10.3389/fonc.2021.773389" @default.
• W4200345488 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34976817" @default.
• W4200345488 hasPublicationYear "2021" @default.
• W4200345488 type Work @default.
• W4200345488 citedByCount "3" @default.
• W4200345488 countsByYear W42003454882023 @default.
• W4200345488 crossrefType "journal-article" @default.
• W4200345488 hasAuthorship W4200345488A5000253316 @default.
• W4200345488 hasAuthorship W4200345488A5002156862 @default.
• W4200345488 hasAuthorship W4200345488A5008660322 @default.
• W4200345488 hasAuthorship W4200345488A5012843035 @default.
• W4200345488 hasAuthorship W4200345488A5025079276 @default.
• W4200345488 hasAuthorship W4200345488A5031046706 @default.
• W4200345488 hasAuthorship W4200345488A5031770114 @default.
• W4200345488 hasAuthorship W4200345488A5031987827 @default.
• W4200345488 hasAuthorship W4200345488A5033986825 @default.
• W4200345488 hasAuthorship W4200345488A5034133337 @default.
• W4200345488 hasAuthorship W4200345488A5044367029 @default.
• W4200345488 hasAuthorship W4200345488A5049623649 @default.
• W4200345488 hasAuthorship W4200345488A5059499077 @default.
• W4200345488 hasAuthorship W4200345488A5060542004 @default.
• W4200345488 hasAuthorship W4200345488A5068304714 @default.
• W4200345488 hasAuthorship W4200345488A5080810304 @default.
• W4200345488 hasAuthorship W4200345488A5091778076 @default.
• W4200345488 hasBestOaLocation W42003454881 @default.
• W4200345488 hasConcept C121608353 @default.
• W4200345488 hasConcept C126322002 @default.
• W4200345488 hasConcept C126838900 @default.
• W4200345488 hasConcept C127413603 @default.
• W4200345488 hasConcept C142724271 @default.
• W4200345488 hasConcept C194789388 @default.
• W4200345488 hasConcept C19527891 @default.
• W4200345488 hasConcept C199639397 @default.
• W4200345488 hasConcept C2777432617 @default.
• W4200345488 hasConcept C2779098232 @default.
• W4200345488 hasConcept C2779399171 @default.
• W4200345488 hasConcept C2779549770 @default.
• W4200345488 hasConcept C2780472235 @default.
• W4200345488 hasConcept C41008148 @default.
• W4200345488 hasConcept C530470458 @default.
• W4200345488 hasConcept C58471807 @default.
• W4200345488 hasConcept C71924100 @default.
• W4200345488 hasConceptScore W4200345488C121608353 @default.

• next