Table 3.
Characteristics of 150 women with breast cancer.
| Demographic variable | Category | Use of CIMIDx by patients (n=97) |
Use of CIMIDx by radiologist (n=53) |
Significance (P)a
|
|
| mean (SD) or n (%) | mean (SD) or n (%) | ||||
| Age (years) |
|
|
47.5 (33.2) | 26 (18.4) | .53 |
| Time since diagnosis (years) |
|
|
47.5 (40.3) | 26 (21.2) | .59 |
|
Annual household income (INR)
| |||||
|
|
|
<1,00,000 | 12 (12.4%) |
|
|
|
|
|
1,00,000-2,70,000 | 36 (37.1%) |
|
|
|
|
|
>2,70,000 | 49 (50.5%) |
|
|
|
Education
| |||||
|
|
|
Grades <12 | 13 (13.4%) |
|
|
|
|
|
Grades 13-15 | 48 (49.5%) |
|
|
|
|
|
Grades >15 | 36 (37.1%) |
|
|
| Stage | |||||
|
|
Normal | Normal breast issue | 8 (8.3%) | 1 (1.9%) | .57 |
|
|
Benign | ||||
|
|
|
Fibrocystic disease | 3 (3.1%) | 2 (3.8%) |
|
|
|
|
Fibroadenoma | 6 (6.2%) | 4 (7.6%) |
|
|
|
|
Atypical ductal hyperplasia | 3 (3.1%) | 2 (3.8%) |
|
|
|
|
Benign lesion, other | 1 (1.0%) | 2 (3.8%) |
|
|
|
Malignant | ||||
|
|
|
DCISb, grade I | 9 (9.3%) | 6 (11.3%) | >.99 |
|
|
|
DCIS grade II and III | 26 (26.8%) | 6 (11.3%) |
|
|
|
|
IDCc | 24 (24.7%) | 20 (37.7%) |
|
|
|
|
ILCd | 12 (12.4%) | 7 (13.2%) |
|
|
|
|
ILC and IDC | 3 (3.1%) | 2 (3.8%) |
|
|
|
|
Malignant lesion, others | 2 (2.1%) | 1 (1.9%) |
|
aAt interviews with different medical colleges and hospitals in Chennai, Tamil Nadu, India, May 2013 to April 2014, the cloud-based system support intelligent medical image diagnosis prototype was used for breast health issues. The P values were calculated with t tests for the means, and the Pearson chi-Square tests for the percentages.
bDCIS: ductal carcinoma in situ
cIDC: invasive ductal cancer
dILC: invasive lobular cancer