Table 2. Detailed Diagnostic Accuracy of Unenhanced Computed Tomography at the Findings Level in Emergency Department Patients With Abdominal Pain, Using Contrast-Enhanced Computed Tomography as Reference Standarda.
| Diagnostic accuracy methods | Radiologist | |||||
|---|---|---|---|---|---|---|
| Faculty A | Faculty B | Faculty C | Resident A | Resident B | Resident C | |
| Overall accuracy, No. (%) [95% CI] | ||||||
| Primary and secondary diagnoses | 139/201 (69) [62-75] | 146/201 (73) [66-79] | 148/201 (74) [67-80] | 141/201 (70) [63-76] | 139/201 (69) [62-75] | 138/201 (69) [62-75] |
| Primary diagnoses only | 163/201 (81) [75-86] | 165/201 (82) [76-87] | 169/201 (84) [78-89] | 158/201 (79) [72-84] | 151/201 (75) [69-81] | 152/201 (76) [69-81] |
| Secondary diagnoses only | 170/201 (85) [79-89] | 180/201 (90) [84-93] | (173/201) (86) [80-91] | 177/201 (88) [83-92] | 184/201 (92) [87-95] | 181/201 (90) [85-94] |
| False-positive rate, No. (%) [95% CI] | ||||||
| Primary and secondary diagnoses | 43/201 (21) [16-28] | 20/201 (10) [6-15] | 33/201 (16) [11-22] | 38/201 (19) [14-25] | 17/201 (8) [5-13] | 22/201 (11) [7-16] |
| Primary diagnoses only | 20/201 (10) [6-15] | 10/201 (5) [2-9] | 16/201 (8) [5-13] | 24/201 (12) [8-17] | 12/201 (6) [3-10] | 12/201 (6) [3-10] |
| Secondary diagnoses only | 24/201 (12) [8-17] | 11/201 (5) [3-10] | 20/201 (10) [6-15] | 16/201 (8) [5-13] | 5/201 (2) [1-6] | 11/201 (5) [3-10] |
| False-negative rate, No. (%) [95% CI] | ||||||
| Primary and secondary diagnoses | 27/201 (13) [9-19] | 38/201 (19) [14-25] | 28/201 (14) [9-20] | 30/201 (15) [10-21] | 52/201 (26) [20-33] | 54/201 (27) [21-34] |
| Primary diagnoses only | 21/201 (10) [7-16] | 27/201 (13) [9-19] | 19/201 (9) [6-14] | 22/201 (11) [7-16] | 43/201 (21) [16-28] | 46/201 (23) [17-29] |
| Secondary diagnoses only | 7/201 (3) [1-7] | 12/201 (6) [3-10] | 10/201 (5) [2-9] | 8/201 (4) [2-8] | 12/201 (6) [3-10] | 11/201 (5) [3-10] |
Overall accuracy is (true positive with false negative) divided by (true positive with true negative with false positive with false negative). To be considered accurate, all true-positive diagnoses had to be identified without any false positives. False-positive rate is false positive divided by (true positive with true negative with false positive with false negative). Any false positive in an examination qualifies. False-negative rate is false negative divided by (true positive with true negative with false positive with false negative). Any false negative in an examination qualifies.