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. Author manuscript; available in PMC: 2018 Mar 13.
Published in final edited form as: J Clin Pathol. 2017 May 2;70(11):947–953. doi: 10.1136/jclinpath-2016-204231

Table 2.

Characteristics of test set cases by whether a participant pathologist would request a second opinion (N = 115 participants, 6900 independent assessments)

Would you ask for a second pathologist’s opinion of this case before finalising the report? (Assume a pathologist is available.)

Combined yes response rate
(95% CI)
Response options
N (%)


Case
characteristics*
Number
of cases
Number of
assessments
Rate of second
opinion for
combined
responses
p Value Yes, because I would
want a second
pathologist’s opinion
for diagnostic
reasons
Yes, because it is
our policy to get
a second opinion
in cases with this
diagnosis
Yes to both,
because I
would want it
and because it
is our policy
No, I do not
want a
second
opinion
Total 240 6900 70 (65 to 75) 1731 (25) 2376 (34) 720 (10) 2073 (30)
Patient characteristics for breast biopsy cases
Patient age (years)§
  40–49 118 3391 71 (66 to 76) 0.038 856 (25) 1188 (35) 356 (10) 991 (29)
  50–59 67 1924 70 (65 to 75) 495 (26) 663 (34) 195 (10) 571 (30)
  60–69 29 833 67 (60 to 73) 171 (21) 295 (35) 88 (11) 279 (33)
  70+ 26 752 69 (63 to 75) 209 (28) 230 (31) 81 (11) 232 (31)
Breast density§
  Low density 118 3391 68 (63 to 73) <0.001 786 (23) 1184 (35) 340 (10) 1081 (32)
  High density 122 3509 72 (67 to 77) 945 (27) 1192 (34) 380 (11) 992 (28)
Biopsy type§,
  Core needle biopsy 138 3953 72 (67 to 77) 0.006 969 (25) 1415 (36) 459 (12) 1110 (28)
  Excisional biopsy 102 2947 67 (62 to 73) 762 (26) 961 (33) 261 (9) 963 (33)
Case characteristics assessed by participant pathologists
Cumulative number of unique sub-diagnoses given to a case**
  <4 50 1436 64 (58 to 71) <0.001 141 (10) 702 (49) 80 (6) 513 (36)
  4–7 137 3938 70 (66 to 75) 1090 (28) 1240 (31) 445 (11) 1163 (30)
  ≥8 53 1526 74 (69 to 79) 500 (33) 434 (28) 195 (13) 397 (26)
Degree of challenge
  Low 4829 59 (53 to 66) <0.001 701 (15) 1879 (39) 292 (6) 1957 (41)
  High 2071 94 (92 to 97) 1030 (50) 497 (24) 428 (21) 116 (6)
Confidence in assessment
  High Confidence 5640 65 (59 to 70) <0.001 1107 (20) 2071 (37) 464 (8) 1998 (35)
  Low confidence 1260 94 (91 to 97) 624 (50) 305 (24) 256 (20) 75 (6)
Case considered borderline
  Yes 1803 95 (93 to 97) <0.001 954 (53) 366 (20) 398 (22) 85 (5)
  No 5097 61 (55 to 67) 777 (15) 2010 (39) 322 (6) 1988 (39)
Participant diagnosis
  Benign w/o atypia 2658 55 (49 to 61) <0.001 579 (22) 708 (27) 167 (6) 1204 (45)
  Atypia 1336 88 (83 to 93) 647 (48) 292 (22) 236 (18) 161 (12)
  DCIS 2186 77 (71 to 83) 413 (19) 998 (46) 269 (12) 506 (23)
  Invasive 720 72 (65 to 79) 92 (13) 378 (53) 48 (7) 202 (28)
*

By self-report on baseline survey.

Row percentages might not add up to 100 due to rounding.

Binary variable created from all three affirmative responses where 1=yes, 0=no. LS means and CIs estimated on logit scale and back transformed on the scale of the mean using the inverse link function.

Probability > χ2, Wald statistics for type 3 GEE analysis.

§

Women’s age and biopsy type were provided to participants during specimen assessment; breast density was not provided.

Low density (≤50 fibroglandular; BIRADS category 1 and 2) and high density (≤51% fibroglandular; BIRADS category 3 and 4; breast density was not provided to participants during specimen assessment).

**

Number of unique diagnostic subtypes at the level of each case as determined by participants.

DCIS, ductal carcinoma in situ; GEE, generalised estimating equation; LS, least square.