Table 3.
The performance of the current auto-LNDS model and others in the literatures for lymph nodes detection. thods.
Method | Target area | Scan type | #cases | Nodal Size | #Nodes | #FP | #TP | #FN | Sens (95%CI) | PPV (95%CI) | FP/vol (95%CI) | Time/Vol |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Current-IT | Pelvic | MRI | 31 | ≥ 3.0mm | 935 | 268 | 745 | 190 | 80.0% (76.9%−82.2%) | 73.5% (70.7%−76.2%) | 8.6 (6.9–10.3) | 1.37sec |
Current-ET | Pelvic | MRI | 50 | ≥3.0mm | 1198 | 412 | 750 | 448 | 62.6% ( 59.5%−65.1%) | 64.5% (61.7%−67.3%) | 8.2 (7.0–9.5) | 1.43sec |
Barbu[16] | Pelvic+Aebden | CT | 54 | >10.0mm | 569 | 172 | 455 | 114 | 80.0% | 72.6% | 3.2 | 15–40sec |
Feuerstein[11] | Mediastinum | CT | 5 | >1.5mm | 106 | 567 | 87 | 19 | 82.1% | 13.3% | 113.4 | 1–6min |
Kitasaka[12] | Abdomen | CT | 5 | >5.0mm | 221 | 290 | 126 | 95 | 57.0% | 30.3% | 58 | 2–3h |
Feulner[14] | Mediastinum | CT | 54 | >10.0mm | 266 | 157 | 174 | 92 | 65.4% | 52.6% | 2.9 | 135sec |
IT: Internal testing dataset; ET: External testing dataset.