| Literature DB >> 31680943 |
Wiebke Geißen1, Svenja Engels1, Paula Aust1, Jonas Schiffmann1, Holger Gerullis1, Friedhelm Wawroschek1, Alexander Winter1.
Abstract
Due to the high morbidity of extended lymph node dissection (eLND) and the low detection rate of limited lymph node dissection (LND), targeted sentinel lymph node dissection (sLND) was implemented in prostate cancer (PCa). Subsequently, nonradioactive sentinel lymph node (SLN) detection using magnetic resonance imaging (MRI) and a magnetometer after intraprostatic injection of superparamagnetic iron oxide nanoparticles (SPIONs) was successfully applied in PCa. To validate the reliability of this approach, considering the magnetic activity of SLNs or whether it is sufficient to dissect only the most active SLNs as shown in other tumor entities for radio-guided sLND, we analyzed magnetometer-guided sLND results in 218 high- and intermediate-risk PCa patients undergoing eLND as a reference standard. Using a sentinel nomogram to predict lymph node invasion (LNI), a risk range was determined up to which LND could be dispensed with or sLND only would be adequate. In total, 3,711 LNs were dissected, and 1,779 SLNs (median, 8) were identified. Among 78 LN-positive patients, there were 264 LN metastases (median, 2). sLND had a 96.79% diagnostic rate, 88.16% sensitivity, 98.59% specificity, 97.1% positive predictive value (PPV), 93.96% negative predictive value (NPV), 4.13% false-negative rate, and 0.92% additional diagnostic value (LN metastases only outside the eLND template). For intermediate-risk patients only, the sensitivity, specificity, PPV, and NPV were 100%. Magnetic activities of SLNs were heterogeneous regardless of metastasis. The accuracy of predicting the presence of metastases for each LN from the proportion of activity was only 57.3% in high- and 65% in intermediate-risk patients. Patients with LNI risk of less than 5% could have been spared LND, as no positive LNs were found in this group. For patients with an LNI risk between 5% and 20%, sLND-only would have been sufficient to detect almost all LN metastases; thus, eLND could be dispensed with in 36% of patients. In conclusion, SPION-guided sLND is a reliable alternative to eLND in intermediate-/high-risk PCa. No conclusions can be drawn from magnetic SLN activity regarding the presence of metastases. LND could be dispensed with according to a nomogram of predicted probability for LNI of 5% without losing any LN-positive patient. Patients with LNI risk between 5% and 20% could be spared eLND by performing sLND.Entities:
Keywords: lymph node metastases; lymphadenectomy; magnetometer; nomogram; prostate cancer; sentinel node; superparamagnetic iron oxide nanoparticle
Year: 2019 PMID: 31680943 PMCID: PMC6797623 DOI: 10.3389/fphar.2019.01123
Source DB: PubMed Journal: Front Pharmacol ISSN: 1663-9812 Impact factor: 5.810
Patient characteristics.
| Overall | Patients with high-risk PCa | Patients with intermediate-risk PCa | |
|---|---|---|---|
| Age, y (median) | 69 | 69 | 68 |
| Total PSA, ng/ml (median) | 10.95 | 15.40 | 8.18 |
| Tumor stage (%) | |||
| T1c | 94 (43.1) | 24 (19.8) | 70 (72.2) |
| T2a | 18 (8.3) | 8 (6.6) | 10 (10.3) |
| T2b | 24 (11.0) | 7 (5.8) | 17 (17.5) |
| T2c | 62 (28.4) | 62 (51.2) | 0 |
| T3a | 16 (7.3) | 16 (13.2) | 0 |
| T3b | 4 (1.8) | 4 (3.3) | 0 |
| Biopsy Gleason score (%) | 18 (8.3) | 8 (6.6) | 10 (10.3) |
| Postoperative Gleason score (%) |
|
|
|
| Pathologic stage (%) | |||
| pT2a | 4 (1.8) | 0 | 4 (4.1) |
| pT2c | 86 (39.4) | 30 (24.8) | 56 (57.7) |
| pT3a | 42 (19.3) | 22 (18.2) | 20 (20.6) |
| pT3b | 83 (38.1) | 66 (54.5) | 17 (17.5) |
| pT4 | 3 (1.4) | 3 (2.5) | 0 |
Data are given as median (IQR) or number (%). IQR, interquartile range; PSA, prostate-specific antigen.
2 × 2 Table to calculate diagnostic test accuracy of magnetometer-guided sentinel lymph node dissection in the overall cohort including intermediate- and high-risk prostate cancer patients (n = 218).
| LN status according to reference standard (eLND) | ||||
|---|---|---|---|---|
| LN + | LN − | Total | ||
|
|
| 67 | 2 | 69 |
|
| 9 | 140 | 149 | |
|
| 76 | 142 | 218 | |
Extended pelvic lymphadenectomy was used as a reference standard to calculate diagnostic accuracy of magnetometer-guided sentinel lymph node dissection for detecting lymph node–positive patients in the overall cohort.
LN, lymph node; eLND, extended lymph node dissection; SLN, sentinel lymph node.
2 × 2 Table to calculate diagnostic test accuracy of magnetometer-guided sentinel lymph node dissection in high-risk prostate cancer patients (n = 121).
| LN status according to reference standard (eLND) | ||||
|---|---|---|---|---|
| LN + | LN − | Total | ||
|
|
| 54 | 2 | 56 |
|
| 9 | 56 | 65 | |
|
| 63 | 58 | 121 | |
Extended pelvic lymphadenectomy was used as a reference standard to calculate diagnostic test accuracy of magnetometer-guided sentinel lymph node dissection for detecting lymph node–positive patients among high-risk prostate cancer patients.
LN, lymph node; eLND, extended lymph node dissection; SLN, sentinel lymph node.
2 × 2 Table to calculate diagnostic test accuracy of magnetometer-guided sentinel lymph node dissection in intermediate-risk prostate cancer patients (n = 97).
| LN status according to reference standard (eLND) | ||||
|---|---|---|---|---|
| LN + | LN − | Total | ||
|
|
| 13 | 0 | 13 |
|
| 0 | 84 | 84 | |
|
| 13 | 84 | 97 | |
Extended pelvic lymphadenectomy was used as a reference standard to calculate diagnostic test accuracy of magnetometer-guided sentinel lymph node dissection for detecting lymph node–positive patients among intermediate-risk prostate cancer patients.
LN, lymph node; eLND, extended lymph node dissection; SLN, sentinel lymph node.
Figure 1Magnetic activity in units for all metastasis positive and negative lymph nodes after intraprostatic injection of SPIONs in intermediate- and high-risk prostate cancer patients (n = 218). (A) High-risk prostate cancer patients, n = 121; (B) intermediate-risk prostate cancer patients, n = 97. LNs, lymph nodes; PCa, prostate cancer.°, minor outliers, a point that falls outside the data set's inner fences;*, major outliers, a point that falls outside the outer fences.
Figure 2Accuracy with which one can deduce the presence of metastases for each lymph node from the proportion of magnetic activity compared to the measured maximum of the same patient in intermediate- and high-risk prostate cancer patients (n = 218). (A) High-risk prostate cancer patients, n = 121; (B) intermediate-risk prostate cancer patients, n = 97. The blue line represents the prediction accuracy of the presence of metastases based on magnetic activity. The red line is a reference for prediction accuracy that corresponds to randomness.
Figure 3Percentage of the most magnetically active positive lymph node from the most active lymph node of the same patient in lymph node–positive intermediate- and high-risk prostate cancer patients (n = 218). (A) High-risk prostate cancer patients, n = 121; (B) intermediate-risk prostate cancer patients, n = 97.
Figure 4Predictive accuracy for the presence of lymph node invasion based on the updated nomogram of Winter et al. (2017b). The blue line represents the predictive accuracy for lymph node invasion in this cohort based on the nomogram of Winter et al. (2017b). The red line is a reference for a predictive accuracy that corresponds to randomness.
Table to calculate the predictive accuracy of detecting lymph node–positive patients based on the updated nomogram of Winter et al. (2017b) using sentinel lymph node dissection as a reference standard.
| Nomogram-based risk group (%) | sLND right-positive patients | Patients without histologic LNI and negative SLNs; "right-negative" | Patients with histologic LNI and negative SLNs; "false-negative" | Patients with histological LNI and positive SLNs; "right-positive" (n = 218) |
|---|---|---|---|---|
| 0–5 | 0 | 11 | 0 | 11 |
| 5.01–10 | 3 | 40 | 0 | 43 |
| 10.01–15 | 1 | 15 | 0 | 16 |
| 15.01–20 | 5 | 14 | 0 | 19 |
| 20.01–25 | 5 | 7 | 0 | 12 |
| 25.01–30 | 4 | 10 | 0 | 14 |
| 30.01–35 | 2 | 4 | 0 | 6 |
| 35.01–40 | 2 | 5 | 0 | 7 |
| 40.01–45 | 5 | 8 | 0 | 13 |
| 45.01–50 | 6 | 7 | 1 | 14 |
| 50.01–55 | 0 | 0 | 2 | 2 |
| 55.01–60 | 4 | 5 | 0 | 9 |
| 60.01–65 | 7 | 3 | 0 | 10 |
| 65.01–70 | 3 | 3 | 1 | 7 |
| 70.01–75 | 6 | 1 | 0 | 7 |
| 75.01–80 | 1 | 1 | 2 | 4 |
| 80.01–85 | 9 | 0 | 1 | 10 |
| 85.01–90 | 1 | 3 | 0 | 4 |
| 90.01–95 | 2 | 3 | 0 | 5 |
| 95.01–100 | 3 | 0 | 2 | 5 |
The nomogram-based risk groups were calculated by applying the updated nomogram of Winter et al. (2017b). SLN, sentinel lymph node; LNI, lymph node invasion.
Table to calculate the predictive accuracy of detecting lymph node–positive patients based on the updated nomogram of Winter et al. (2017b) using extended lymph node dissection as a reference standard.
| Nomogram- based risk group (%) | Patients with histological LNI and positive LNs detected by eLND; "right-positive" (n = 76) | Patients without histological LNI and negative LNs detected by eLND; "right-negative" | Patients with histological LNI and without positive LNs detected by eLND; "false-negative" | Total |
|---|---|---|---|---|
| 0–5 | 0 | 11 | 0 | 11 |
| 5.01–10 | 3 | 40 | 0 | 43 |
| 10.01–15 | 1 | 15 | 0 | 16 |
| 15.01–20 | 5 | 14 | 0 | 19 |
| 20.01–25 | 5 | 7 | 0 | 12 |
| 25.01–30 | 4 | 10 | 0 | 14 |
| 30.01–35 | 2 | 4 | 0 | 6 |
| 35.01–40 | 2 | 5 | 0 | 7 |
| 40.01–45 | 5 | 8 | 0 | 13 |
| 45.01–50 | 7 | 7 | 0 | 14 |
| 50.01–55 | 2 | 0 | 0 | 2 |
| 55.01–60 | 4 | 5 | 0 | 9 |
| 60.01–65 | 6 | 3 | 1 | 10 |
| 65.01–70 | 4 | 3 | 0 | 7 |
| 70.01–75 | 6 | 1 | 0 | 7 |
| 75.01–80 | 3 | 1 | 0 | 4 |
| 80.01–85 | 9 | 0 | 1 | 10 |
| 85.01–90 | 1 | 3 | 0 | 4 |
| 90.01–95 | 2 | 3 | 0 | 5 |
| 95.01–100 | 5 | 0 | 0 | 5 |
The nomogram-based risk groups were calculated by applying the updated nomogram of Winter et al. (2017b). eLND, extended lymph node dissection. sLND, sentinel lymph node dissection; SLN, sentinel lymph node; LNI, lymph node invasion
Table to calculate the predictive accuracy of detecting positive lymph nodes based on the updated nomogram of Winter et al. (2017b) using sentinel lymph node dissection as a reference standard.
| Nomogram- based risk group (%) | Histologically positive SLNs; "right-positive" | Histologically positive Non-SLNs; "false-negative" | Total (n = 264) |
|---|---|---|---|
| 5.01–10 | 4 | 0 | 4 |
| 10.01–15 | 2 | 0 | 2 |
| 15.01–20 | 8 | 1 | 9 |
| 20.01–25 | 6 | 2 | 8 |
| 25.01–30 | 6 | 12 | 18 |
| 30.01–35 | 4 | 1 | 5 |
| 35.01–40 | 2 | 1 | 3 |
| 40.01–45 | 13 | 10 | 23 |
| 45.01–50 | 9 | 15 | 24 |
| 50.01–55 | 0 | 5 | 5 |
| 55.01–60 | 12 | 4 | 16 |
| 60.01–65 | 9 | 3 | 12 |
| 65.01–70 | 4 | 6 | 10 |
| 70.01–75 | 18 | 3 | 21 |
| 75.01–80 | 2 | 7 | 9 |
| 80.01–85 | 20 | 18 | 38 |
| 85.01–90 | 9 | 8 | 17 |
| 90.01–95 | 3 | 2 | 5 |
| 95.01–100 | 5 | 30 | 35 |
The nomogram-based risk groups were calculated by applying the updated nomogram of Winter et al. ( 2017b). sLND, sentinel lymph node dissectio;.SLN, sentinel lymph node; LNI, lymph node invasion.
Table to calculate the predictive accuracy of detecting positive lymph nodes based on the updated nomogram of Winter et al. (2017b) using extended lymph node dissection as a reference standard.
| Nomogram-based risk group (%) | Histologically positive LNs in the eLND template; "right-positive" | Histologically positive LNs outside the eLND template; "false-negative" | Total |
|---|---|---|---|
| 5.01–10 | 4 | 0 | 4 |
| 10.01–15 | 2 | 0 | 2 |
| 15.01–20 | 8 | 1 | 9 |
| 20.01–25 | 8 | 0 | 8 |
| 25.01–30 | 18 | 0 | 18 |
| 30.01–35 | 3 | 2 | 5 |
| 35.01–40 | 3 | 0 | 3 |
| 40.01–45 | 20 | 3 | 23 |
| 45.01–50 | 24 | 0 | 24 |
| 50.01–55 | 5 | 0 | 5 |
| 55.01–60 | 16 | 0 | 16 |
| 60.01–65 | 10 | 2 | 12 |
| 65.01–70 | 10 | 0 | 10 |
| 70.01–75 | 19 | 2 | 21 |
| 75.01–80 | 6 | 3 | 9 |
| 80.01–85 | 35 | 3 | 38 |
| 85.01–90 | 17 | 0 | 17 |
| 90.01–95 | 4 | 1 | 5 |
| 95.01–100 | 32 | 3 | 35 |
The nomogram-based risk groups were calculated by applying the updated nomogram of Winter et al. (2017b). eLND, extended lymph node dissection; SLN, sentinel lymph node.