| Literature DB >> 28241044 |
Hélène Bonsang-Kitzis1,2, Delphine Mouttet-Boizat1, Eugénie Guillot1, Jean-Guillaume Feron1, Virginie Fourchotte1, Séverine Alran1, Jean-Yves Pierga3, Paul Cottu3, Florence Lerebours3, Denise Stevens4, Anne Vincent-Salomon5, Brigitte Sigal-Zafrani5, François Campana6, Roman Rouzier1, Fabien Reyal1,2.
Abstract
BACKGROUND: Avoiding axillary lymph node dissection (ALND) for invasive breast cancers with isolated tumor cells or micrometastatic sentinel node biopsy (SNB) could decrease morbidity with minimal clinical significance.Entities:
Mesh:
Substances:
Year: 2017 PMID: 28241044 PMCID: PMC5328272 DOI: 10.1371/journal.pone.0169962
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Patient characteristics in every subgroup depending on the threshold score value between 0.1 and 0.9.
(True Negative (TN), False Negative (FN), True Positive (TP), False Positive (FP)). Example given for a threshold value = 0.3. ITC = Isolated Tumor Cells.
Fig 2Decision-making tree according to the Sentinel Lymph Node Biopsy results and the MSKCC score.
SLN = Sentinel Lymph Node. AD = Axillary Dissection.
Population baseline characteristics.
| 1036 ER positive HER2 negative tumor-positive sentinel node breast cancer | ||
|---|---|---|
| Clinical and Pathological Characteristics | N (%)—Median (range) | |
| 57.7 (31–85) | ||
| 273 (26%) | ||
| 352 (34%) | ||
| 411 (40%) | ||
| 894 (86%) | ||
| 142 (14%) | ||
| 15 (0–100) | ||
| 834 (80%) | ||
| 192 (18%) | ||
| 0 (0.9%) | ||
| 372 (36%) | ||
| 325 (31%) | ||
| 559 (54%) | ||
| 152 (14.6%) | ||
| 173 (17%) | ||
| 299 (29%) | ||
| 564 (54%) | ||
| 882 (85%) | ||
| 128 (12%) | ||
| 21 (2%) | ||
| 5 (0.5%) | ||
| 769 (74%) | ||
| 139 (13%) | ||
| 50 (5%) | ||
| 28 (3%) | ||
| 5 (5%) | ||
| 93 (9%) | ||
Fig 3MSKCC Non-Sentinel Node Prediction nomogram scores distribution in our population.
Fig 4ROC curve for the Non-Sentinel Node Prediction Nomogram (MSKCC) in our population.
Fig 5Type of SN metastases according to the MSKCC Non-Sentinel Node Prediction nomogram score in True Negative (TN), False Negative (FN), True Positive (TP), False Positive (FP) patients.
True Negative = LowRisk NNeg, False Negative = LowRisk NPos, True Positive = HighRisk NPos, False Positive = HighRisk NNeg.
Fig 6True Negative (TN), False Negative (FN), True Positive (TP), False Positive (FP) rates according to the Non-Sentinel Node Prediction Nomogram score (MSKCC).
Fig 7Total cost depending on the threshold set for the MSKCC Non-Sentinel Node Prediction Nomogram with or without Sentinel Node extemporaneous exam (red and blue curve respectively).
Population’s distribution with a nomogram threshold set at 0.3 (MSKCC).
| 1036 ER positive HER2 negative tumor-positive sentinel node breast cancer. Threshold = 0.3 (MSKCC) | ||||
|---|---|---|---|---|
| Patients status (MSKCC score) | Low Risk (≤ 0.3) 536 patients | High Risk (> 0.3) 500 patients | p value | |
| 58 (31–82) | 57 (31–85) | |||
| 133 (24.8) | 140 (28.0) | 0.5 | ||
| 186 (34.7) | 166 (33.2) | |||
| 217 (40.5) | 194 (38.8) | |||
| 468 (87.3) | 426 (85.2) | 0.37 | ||
| 68 (12.7) | 74 (14.8) | |||
| 12 (0–60) | 17 (2–100) | |||
| 484 (90.5) | 350 (70.6) | |||
| 50 (9.3) | 142 (28.6) | |||
| 1 (0.2) | 4(0.8) | |||
| 120 (22.4) | 252 (50.4) | |||
| 219 (40.6) | 106 (21.2) | |||
| 266 (49.6) | 293 (58.6) | |||
| 51 (9.5) | 101 (20.2) | |||
| 171 (31.9) | 2 (0.4) | |||
| 274 (51.1) | 25 (5.0) | |||
| 91 (17.0) | 473 (94.6) | |||
| 513 (95.7) | 369 (73.8) | |||
| 23 (4.3) | 105 (21.0) | |||
| 0 | 21 (4.2) | |||
| 0 | 5 (1.0) | |||
| 470 (87.7) | 299 (59.8) | |||
| 45 (8.4) | 94 (18.8) | |||
| 11 (2.0) | 39 (7.8) | |||
| 6 (1.1) | 22 (4.4) | |||
| 4 (0.7) | 46 (9.2) | |||