Literature DB >> 28807244

Endoscopic management of upper tract urothelial carcinoma: Improved prediction of invasive cancer using a ureteroscopic scoring model.

Seong Soo Jeon1, Hyun Hwan Sung2, Hwang Gyun Jeon1, Deok Hyun Han1, Byong Chang Jeong1, Seong Il Seo1, Hyun Moo Lee1, Han-Yong Choi1.   

Abstract

BACKGROUND: The aim of this study was to investigate clinical and ureteroscopic factors considered as important for the prediction of invasive upper tract urothelial carcinoma (UTUC) and establish a model using a new ureteroscopic scoring.
METHODS: We analyzed tumor depth and grade from ureteroscopic biopsies in 172 patients who underwent imaging studies, urine cytology, and radical nephroureterectomy. Invasive UTUC was defined as muscle-invasive or non-organ confined tumors. Ureteroscopic scoring was defined as sum of the risk factors, lamina propria invasion, or presence of a high-grade tumor.
RESULTS: In the multivariate analysis, lamina propria invasion was a significant factor associated with an increased risk of invasive UTUC. Positive urine cytology, hydronephrosis, and local invasion on imaging were also significant. Presence of a high-grade tumor was not significant due to interaction with lamina propria invasion (P < 0.001). In the ureteroscopic scoring model, the odds ratio of invasive UTUC was significantly related to the ureteroscopic scoring number (30.9% (56/81), 66.7% (14/42), and 83.7% (41/49) according to the sum of risk factors 0 to 2, respectively, (P < 0.001). Positive predictive value (PPV) for invasive UTUC was increased in relation to the number of risk factors including urine cytology, hydronephrosis, local invasion on imaging, and any abnormal ureteroscopic finding (lamina propria invasion or presence of high-grade tumors). The PPV gradually increased as follows: 6.3%, 33.3%, 52.1%, 81.6%, to 92.9% for 0 to 4 positive risk factors, respectively (P < 0.001).
CONCLUSIONS: When lamina propria invasion and presence of a high-grade tumor were incorporated, our novel ureteroscopic scoring model was highly predictive of invasive UTUC.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Predictive factor; Upper tract urothelial carcinoma; Ureteroscopy

Mesh:

Year:  2017        PMID: 28807244     DOI: 10.1016/j.suronc.2017.04.003

Source DB:  PubMed          Journal:  Surg Oncol        ISSN: 0960-7404            Impact factor:   3.279


  3 in total

1.  Multi-institutional Evaluation of Upper Urinary Tract Biopsy Using Backloaded Cup Biopsy Forceps, a Nitinol Basket, and Standard Cup Biopsy Forceps.

Authors:  Daniel J Lama; Shoaib Safiullah; Roshan M Patel; Thomas K Lee; Jyoti P Balani; Lishi Zhang; Zhamshid Okhunov; Vitaly Margulis; Stephen J Savage; Edward Uchio; Jaime Landman
Journal:  Urology       Date:  2018-04-06       Impact factor: 2.649

2.  Ex-vivo Imaging of Upper Tract Urothelial Carcinoma Using Novel pH Low Insertion Peptide (Variant 3), a Molecular Imaging Probe.

Authors:  Joseph Brito; Borivoj Golijanin; Ohad Kott; Anna Moshnikova; Catrina Mueller-Leonhard; Boris Gershman; Oleg A Andreev; Yana K Reshetnyak; Ali Amin; Dragan Golijanin
Journal:  Urology       Date:  2019-01-16       Impact factor: 2.649

3.  A Novel Preoperative Prediction Model Based on Deep Learning to Predict Neoplasm T Staging and Grading in Patients with Upper Tract Urothelial Carcinoma.

Authors:  Yuhui He; Wenzhi Gao; Wenwei Ying; Ninghan Feng; Yang Wang; Peng Jiang; Yanqing Gong; Xuesong Li
Journal:  J Clin Med       Date:  2022-09-30       Impact factor: 4.964

  3 in total

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