Table 1 Patient Characteristics of target dataset (N = 61).

From: Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction

Variables

 

N (%)

Age (Year)

≤45

32 (52.5%)

>45

29 (47.5%)

Major Complication

No

51 (83.6%)

Yes

10 (16.4%)

Mastectomy

Total/radical

39 (64.0%)

Nipple-sparing

16 (26.2%)

Skin-sparing

6 (9.8%)

Type of reconstruction

Autologous

47 (77.0%)

Tissue Expander

14 (23.0%)

RT fractionation

Conventional

53 (86.9%)

Hypofractionated

8 (13.1%)

Neoadjuvant chemotherapy

No

43 (70.5%)

Yes

18 (29.5%)

Adjuvant chemotherapy

No

21 (34.4%)

Yes

39 (63.9%)

Missing

1 (1.6%)

RT plan

3D

48 (78.7%)

IMRT

13 (21.3%)

Tumor bed boost

No

49 (80.3%)

Yes

12 (19.7%)

The use of bolus

No

59 (96.7%)

Yes

2 (3.3%)

Body mass index (kg/m2)

≤23

32 (52.5%)

>23

29 (47.5%)

Pre-RT CT to Post-1Y CT (days)

 

417 (IQR 343–512)

Pre-RT CT to Post-2Y CT (days)

 

803 (IQR 741–951)

Pre-RT Anomaly score

 

1.99 (range, −0.65 to 19.40)

Post-1Y Anomaly score

 

2.92 (range, −0.16 to 11.50)

Post-2Y Anomaly score

 

2.94 (range, −0.36 to 14.35)

  1. RT Radiation therapy, 3D 3-dimensional, IMRT Intensity modulated radiation therapy, CT Computed tomography, 1Y 1-year, 2Y 2-year, IQR Interquartile range.
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