Based on our patients' history of breast cancer, their most frequent motive for visiting the hospital was roughly categorized into three: noticed anomalies on self-checkup (Sel), abnormality was pointed out after mammography screening conducted by the government (Gov) , or abnormality was pointed out after mammographic screening at a routine facility examination (Fac). Then, we verified the hypothesis that the distribution of the tumor location found by Sel is consistent with the original location of the tumor. We compared the regional distribution of breast cancer onset in these three groups.
From 2010 to 2021, we included 3005 patients, classified into the Sel, Gov, or Fac group. From the Fac group, we excluded the patients who had visited the home doctor with the Sel or Gov group.
In the Sel group, the location of the main abnormality was classified into the ABCDE regions (n (%): A: 392 (25.3%), B: 154 (9.9%), C: 689 (44.5%), D: 153 (9.9%), E: 160 (10.3%)). As compared with the Sel group, no significant difference was found in the location distribution of the lesions in the Fac group: (A: 83 (23.1%), B: 35 (9.7%), C: 151 (41.9%), D: 47 (13.1%), and E: 44 (12.2%), p=0.3053). However, the Gov group showed a significant difference in the location distribution as compared with both the other groups: (A: 214 (26.7%), B: 63 (7.8%), C: 366 (45.6%), D: 102 (12.7%), E: 58 (7.2%), p=0.0144). There was a dissociation from other detection methods, and a possible weakness of mammographic screening in detecting lesions in the E region was revealed. Mammographic screening organized by the government was rather superior to institutional checkups in terms of the stage at detection (p<0.0001, our data), but it may be less sensitive to abnormalities in the E region.
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