Literature DB >> 28238444

PET-CT in presurgical lymph node staging in non-small cell lung cancer: the importance of false-negative and false-positive findings.

A Bustos García de Castro1, J Ferreirós Domínguez2, R Delgado Bolton3, C Fernández Pérez4, B Cabeza Martínez2, M García García-Esquinas2, J L Carreras Delgado5.   

Abstract

OBJECTIVE: To assess the importance of false-negative and false-positive findings in computed tomography (CT) and 18F-FDG positron emission tomography (PET) in mediastinal lymph node staging in patients undergoing surgery for non-small cell lung cancer (NSCLC).
MATERIAL AND METHODS: This retrospective study included 113 consecutive patients and 120 resected NSCLCs; 22 patients received neoadjuvant treatment. We compared the findings on preoperative 18F-FDG PET-CT studies with the postoperative pathology findings. Lymph node size and primary tumor size were measured with CT, and lymph nodes and primary tumors were evaluated qualitatively and semiquantitatively (using standardized uptake values (SUVmax)) with PET.
RESULTS: Metastatic lymph nodes were found in 26 (21.7%) of the 120 tumors and in 41 (7.7%) of the 528 lymph node stations analyzed. 18F-FDG PET-CT yielded 53.8% sensitivity, 76.6% specificity, 38.9% positive predictive value, 85.7% negative predictive value, and 71.7% diagnostic accuracy. The false-negative rate was 14.2%. Multivariable analysis found that the factors associated with false-negative findings were a moderate degree of differentiation in the primary tumor (p = 0.005) and an SUVmax of the primary tumor >4 (p = 0.027). The false-positive rate was 61.1%, and the multivariable analysis found that lymph node size >1cm was associated with false-positive findings (p < 0.001).
CONCLUSIONS: In mediastinal lymph node staging in patients with NSCLC, 18F-FDG PET-CT improves the specificity and negative predictive value and helps clinicians to select the patients that will benefit from surgery. Given the high rate of false positives, histological confirmation of positive cases is recommendable.
Copyright © 2017 SERAM. Publicado por Elsevier España, S.L.U. All rights reserved.

Entities:  

Keywords:  Carcinoma de pulmón de células no pequeñas; Estadificación tumoral; Helical computed tomography; Imagen multimodalidad; Multimodality imaging; Non-small cell lung cancer; Positron emission tomography; Tomografía computarizada helicoidal; Tomografía por emisión de positrones; Tumor staging

Mesh:

Year:  2017        PMID: 28238444     DOI: 10.1016/j.rx.2016.12.001

Source DB:  PubMed          Journal:  Radiologia        ISSN: 0033-8338


  13 in total

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