Back to Search Start Over

The Establishment of New Thresholds for PLND-Validated Clinical Nomograms to Predict Non-Regional Lymph Node Metastases: Using 68 Ga-PSMA PET/CT as References.

Authors :
Jiao J
Quan Z
Zhang J
Wen W
Qin J
Yang L
Meng P
Jing Y
Ma S
Wu P
Han D
Davis AA
Ren J
Yang X
Kang F
Zhang Q
Wang J
Qin W
Source :
Frontiers in oncology [Front Oncol] 2021 Apr 15; Vol. 11, pp. 658669. Date of Electronic Publication: 2021 Apr 15 (Print Publication: 2021).
Publication Year :
2021

Abstract

Purpose: PLND (pelvic lymph node dissection)-validated nomograms are widely accepted clinical tools to determine the necessity of PLND by predicting the metastasis of lymph nodes (LNMs) in pelvic region. However, these nomograms are in lacking of a threshold to predict the metastasis of extrareolar lymph nodes beyond pelvic region, which is not suitable for PLND. The aim of this study is to evaluate a threshold can be set for current clinical PLND-validated nomograms to predict extrareolar LN metastases beyond pelvic region in high-risk prostate cancer patients, by using <superscript>68</superscript> Ga-PSMA PET/CT as a reference to determine LN metastases (LNMs).<br />Experimental Design: We performed a retrospective analysis of 57 high-risk treatment-naïve PC patients in a large tertiary care hospital in China who underwent <superscript>68</superscript> Ga-PSMA-617 PET/CT imaging. LNMs was detected by <superscript>68</superscript> Ga-PSMA-617 PET/CT and further determined by imaging follow-up after anti-androgen therapy. The pattern of LN metastatic spread of PC patients were evaluated and analyzed. The impact of <superscript>68</superscript> Ga-PSMA PET/CT on clinical decisions based on three clinical PLND-validated nomograms (Briganti, Memorial Sloan Kettering Cancer Center, Winter) were evaluated by a multidisciplinary prostate cancer therapy team. The diagnostic performance and the threshold of these nomograms in predicting extrareolar LNMs metastasis were evaluated via receiver operating characteristic (ROC) curve analysis.<br />Results: LNMs were observed in 49.1% of the patients by <superscript>68</superscript> Ga-PSMA PET/CT, among which 65.5% of LNMs were pelvic-regional and 34.5% of LNMs were observed in extrareolar sites (52.1% of these were located above the diaphragm). The Briganti, MSKCC and Winter nomograms showed that 70.2%-71.9% of the patients in this study need to receive ePLND according to the EAU and NCCN guidelines. The LN staging information obtained from <superscript>68</superscript> Ga-PSMA PET/CT would have led to changes of planned management in 70.2% of these patients, including therapy modality changes in 21.1% of the patients, which were mainly due to newly detected non-regional LNMs. The thresholds of nomograms to predict non-regional LNMs were between 64% and 75%. The PC patients with a score >64% in Briganti nomogram, a score >75% in MSKCC nomogram and a score >67% in Winter nomogram were more likely to have non-regional LNMs. The AUCs (Area under curves) of the clinical nomograms (Briganti, MSKCC and Winter) in predicting non-regional LNMs were 0.816, 0.830 and 0.793, respectively.<br />Conclusions: By using <superscript>68</superscript> Ga-PSMA PET/CT as reference of LNM, the PLND-validated clinical nomograms can not only predict regional LNMs, but also predict non-regional LNMs. The additional information from <superscript>68</superscript> Ga-PSMA PET/CT may provide added benefit to nomograms-based clinical decision-making in more than two-thirds of patients for reducing unnecessary PLND. We focused on that a threshold can be set for current clinical PLND-validated nomograms to predict extrareolar LN metastases with an AUC accuracy of about 80% after optimizing the simple nomograms which may help to improve the efficiency for PC therapy significantly in clinical practice.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2021 Jiao, Quan, Zhang, Wen, Qin, Yang, Meng, Jing, Ma, Wu, Han, Davis, Ren, Yang, Kang, Zhang, Wang and Qin.)

Details

Language :
English
ISSN :
2234-943X
Volume :
11
Database :
MEDLINE
Journal :
Frontiers in oncology
Publication Type :
Academic Journal
Accession number :
33937073
Full Text :
https://doi.org/10.3389/fonc.2021.658669