Benefits of Independent Double Reading in Digital Mammography
| Autor: | Patrick C. Brennan, Sarah J. Lewis, Kriscia Tapia, Mordechai Z. Juni, Miguel P. Eckstein, Claudia Mello-Thoms, Aarthi Ganesan, Ernest U. Ekpo |
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| Rok vydání: | 2019 |
| Předmět: |
Digital mammography
Computer science media_common.quotation_subject Double reading 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine 030220 oncology & carcinogenesis Reading (process) Pairing Statistical analyses Statistics Radiology Nuclear Medicine and imaging Sensitivity (control systems) Observer variation media_common |
| Zdroj: | Academic Radiology. 26:717-723 |
| ISSN: | 1076-6332 |
| Popis: | Rationale and Objectives To establish the efficacy of pairing readers randomly and evaluate the merits of developing optimal pairing methodologies. Materials and Methods Sensitivity, specificity, and proportion correct were computed for three different case sets that were independently read by 16 radiologists. Performance of radiologists as single readers was compared to expected double reading performance. We theoretically evaluated all possible pairing methodologies. Bootstrap resampling methods were used for statistical analyses. Results Significant improvements in expected performance for double versus single reading (ie, delta performance) were shown for all performance measures and case-sets (p ≤ .003), with overall delta performance across all theoretically possible pairing schemes (n = 10,395) ranging between .05 and .08. Delta performance for the 20 best pairing schemes was significant (p Conclusion Significant benefits accrue from double reading, and while random reader pairing achieves most double reading benefits, a strategic pairing approach may maximize the benefits of double reading. |
| Databáze: | OpenAIRE |
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