| Title |
Validation and head-to-head comparison of three nomograms predicting probability of lymph node invasion of prostate cancer in patients undergoing extended and/or sentinel lymph node dissection
|
|---|---|
| Published in |
European Journal of Nuclear Medicine and Molecular Imaging, August 2017
|
| DOI | 10.1007/s00259-017-3788-z |
| Pubmed ID | |
| Authors |
Nikolaos Grivas, Esther Wit, Corinne Tillier, Erik van Muilekom, Floris Pos, Alexander Winter, Henk van der Poel |
| Abstract |
The updated Winter nomogram is the only nomogram predicting lymph node invasion (LNI) in prostate cancer (PCa) patients based on sentinel node (SN) dissection (sLND). The aim of the study was to externally validate the Winter nomogram and examine its performance in patients undergoing extended pelvic lymph node dissection (ePLND), ePLND combined with SN biopsy (SNB) and sLND only. The results were compared with the Memorial Sloan Kettering Cancer Center (MSKCC) and updated Briganti nomograms. This retrospective study included 1183 patients with localized PCa undergoing robot-assisted laparoscopic radical prostatectomy (RARP) combined with pelvic lymphadenectomy and 224 patients treated with sLND and external beam radiotherapy (EBRT), aiming to offer pelvic radiotherapy only in case of histologically positive SNs. In the RARP population, ePLND was applied in 956 (80.8%) patients,while 227 (19.2%) patients were offered ePLND combined with additional SNB. The median numbers of removed nodes were 10 (interquartile range, IQR = 6-14), 15 (IQR = 10-20) and 7 (IQR = 4-10) in the ePLND, ePLND + SNB, and sLND groups, respectively. Corresponding LNI rates were 16.6%, 25.5% and 42%. Based on the AUC, the performance of the Briganti nomogram (0.756) in the ePLND group was superior to both the MSKCC (0.744) and Winter nomogram (0.746). The Winter nomogram, however, was the best predictor of LNI in both the ePLND + SNB (0.735) and sLND (0.709) populations. In the calibration analysis, all nomograms showed better accuracy in the low/intermediate risk patients, while in the high-risk population, an overestimation of the risk for LNI was observed. The SN-based updated nomogram showed better prediction in the SN population. The results were also comparable, relative to predictive tools developed with (e)PLND, suggesting a difference in sampling accuracy between SNB and non-SNB. Patients who benefit most from the nomogram would be those with a low/intermediate risk of LN metastasis. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 20% |
| Student > Bachelor | 4 | 13% |
| Student > Doctoral Student | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Lecturer | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 7 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 50% |
| Unspecified | 1 | 3% |
| Linguistics | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 10 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 August 2017.
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#21,153,429
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Outputs from European Journal of Nuclear Medicine and Molecular Imaging
#2,610
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Outputs of similar age from European Journal of Nuclear Medicine and Molecular Imaging
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