Preoperative Axillary Ultrasound in the Era of Z0011: A Model for Predicting High Axillary Disease Burden
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Design and Population
2.2. Data Collection and Variables
2.3. Statistical Analysis
3. Results
3.1. Patient Characteristics
3.2. Predictive Model
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Low Axillary Node Burden N = 45 | High Axillary Node Burden N = 62 | p-Value | |
---|---|---|---|
Age at diagnosis [SD] | 60.3 [10.9] | 63.0 [15.0] | 0.29 |
Age at diagnosis | 0.88 | ||
10 (22) | 13 (21) | ||
35 (78) | 49 (79) | ||
BMI status | 0.66 | ||
<18.5 | 2 (6) | 1 (2) | |
18.5–24.9 | 13 (29) | 15 (24) | |
25.0–29.9 | 11 (31) | 17 (32) | |
30.0–34.9 | 4 (11) | 10 (19) | |
≥35.0 | 8 (23) | 8 (15) | |
Facility * | 0.36 | ||
1 | 19 (42) | 19 (31) | |
2 | 5 (11) | 5 (8) | |
3 | 3 (7) | 8 (13) | |
4 | 3 (7) | 0 | |
5 | 0 | 1 (2) | |
6 | 1 (2) | 2 (3) | |
7 | 1 (2) | 6 (10) | |
8 | 5 (11) | 5 (8) | |
9 | 4 (9) | 4 (6) | |
10 | 3 (7) | 8 (13) | |
11 | 1 (2) | 1 (2) | |
12 | 0 | 2 (3) | |
13 | 0 | 1 (2) | |
Invasive type | 0.86 | ||
Ductal | 40 (89) | 56 (90) | |
Lobular | 4 (9) | 4 (6) | |
Mixed | 1 (2) | 2 (3) | |
Tumor size (cm) | 0.28 | ||
<2 cm | 15 (38) | 15 (25) | |
2–5 | 16 (41) | 27 (44) | |
>5 | 8 (21) | 19 (31) | |
Focality | 0.28 | ||
Unifocal | 36 (88) | 47 (77) | |
Multifocal | 4 (10) | 8 (13) | |
Multicentric | 1 (2) | 6 (10) | |
Surgery performed | 0.82 | ||
BCS | 19 (44) | 26 (42) | |
Mastectomy | 24 (56) | 36 (56) | |
Grade | 0.69 | ||
1 | 5 (11) | 8 (13) | |
2 | 14 (32) | 15 (24) | |
3 | 25 (57) | 39 (63) | |
Hormone receptor status | 0.05 | ||
Positive | 0 | 6 (15) | |
Negative | 24 (100) | 35 (85) | |
Her2 status | 0.67 | ||
Positive | 16 (80) | 30 (75) | |
Negative | 4 (20) | 10 (25) | |
Nodes on ultrasound | 0.16 | ||
1 | 36 (80) | 42 (68) | |
≥2 | 9 (20) | 20 (32) | |
Longest diameter measurement (cm) | 14.9 [8.7] | 14.2 [7.0] | 0.71 |
Longest diameter measurement (cm) | 0.43 | ||
≤1 cm | 14 (31) | 15 (24) | |
>1 cm | 31 (69) | 47 (76) | |
Thickened cortex | 0.12 | ||
<3 mm | 18 (40) | 16 (26) | |
≥3 mm | 27 (60) | 46 (74) | |
Replaced hilum ** | 0.18 | ||
Yes | 37 (82) | 44 (71) | |
No | 5 (18) | 7 (29) | |
Average number of nodes removed | 14.8 [6.3] | 15.7 [6.3] | 0.47 |
LVI | 26 (58) | 51 (82) | 0.005 |
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DiPasquale, A.; Peiris, L. Preoperative Axillary Ultrasound in the Era of Z0011: A Model for Predicting High Axillary Disease Burden. Curr. Oncol. 2025, 32, 307. https://doi.org/10.3390/curroncol32060307
DiPasquale A, Peiris L. Preoperative Axillary Ultrasound in the Era of Z0011: A Model for Predicting High Axillary Disease Burden. Current Oncology. 2025; 32(6):307. https://doi.org/10.3390/curroncol32060307
Chicago/Turabian StyleDiPasquale, Ashley, and Lashan Peiris. 2025. "Preoperative Axillary Ultrasound in the Era of Z0011: A Model for Predicting High Axillary Disease Burden" Current Oncology 32, no. 6: 307. https://doi.org/10.3390/curroncol32060307
APA StyleDiPasquale, A., & Peiris, L. (2025). Preoperative Axillary Ultrasound in the Era of Z0011: A Model for Predicting High Axillary Disease Burden. Current Oncology, 32(6), 307. https://doi.org/10.3390/curroncol32060307