HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Hokkaido University Hospital >
Peer-reviewed Journal Articles, etc >

Preoperative identification of clinicopathological prognostic factors for relapse-free survival in clinical N1 non-small cell lung cancer : a retrospective single center-based study

This item is licensed under: Creative Commons Attribution 4.0 International

Files in This Item:
2020_Aragaki_ Preoperative identification of clinicopathological prognostic factors for relapse-free survival in clinical N1 non-small cell lung cancer_a retrospective single center-based study.pdf891.61 kBPDFView/Open
Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/80009

Title: Preoperative identification of clinicopathological prognostic factors for relapse-free survival in clinical N1 non-small cell lung cancer : a retrospective single center-based study
Authors: Aragaki, Masato Browse this author →KAKEN DB
Kato, Tatsuya Browse this author
Fujiwara-Kuroda, Aki Browse this author
Hida, Yasuhiro Browse this author →KAKEN DB
Kaga, Kichizo Browse this author →KAKEN DB
Wakasa, Satoru Browse this author →KAKEN DB
Keywords: Clinical N1
Maximum standardized uptake value
Multivariate analysis
Non-small cell lung cancer
Positron emission tomography
Issue Date: 2020
Journal Title: Journal of Cardiothoracic Surgery
Volume: 15
Issue: 1
Start Page: 229
Publisher DOI: 10.1186/s13019-020-01272-2
Abstract: Background Given the difficulty in preoperatively diagnosing lymph node metastasis, patients with Stage I-III non-small cell lung cancer (NSCLC) are likely to be included in the clinical N1 (cN1) group. However, better treatment options might be selected through further stratification. This study aimed to identify preoperative clinicopathological prognostic and stratification factors for patients with cN1 NSCLC. Methods This retrospective study evaluated 60 patients who were diagnosed with NSCLC during 2004-2014. Clinical nodal status had been evaluated using routine chest computed tomography (CT) and/or positron emission tomography (PET). To avoid biasing the fluorodeoxyglucose uptake values based on inter-institution or inter-model differences, we used only two PET systems (one PET system and one PET/CT system). Relapse-free survival (RFS) and overall survival (OS) were the primary study outcomes. The maximum standardized uptake value (SUVmax) was calculated for each tumor and categorized as low or high based on the median value. Patient sex, age, histology, tumor size, and tumor markers were also assessed. Results Poor OS was associated with older age (P = 0.0159) and high SUVmax values (P = 0.0142). Poor RFS was associated with positive carcinoembryonic antigen (CEA) expression (P = 0.0035) and high SUVmax values (P = 0.015). Multivariate analyses confirmed that poor OS was independently predicted by older age (hazard ratio [HR] = 2.751, confidence interval [CI]: 1.300-5.822; P = 0.0081) and high SUVmax values (HR = 5.121, 95% CI: 1.759-14.910; P = 0.0027). Furthermore, poor RFS was independently predicted by positive CEA expression (HR = 2.376, 95% CI: 1.056-5.348; P = 0.0366) and high SUVmax values (HR = 2.789, 95% CI: 1.042-7.458; P = 0.0410). The primary tumor’s SUVmax value was also an independent prognostic factor for both OS and RFS. Conclusions For patients with cN1 NSCLC, preoperative prognosis and stratification might be performed based on CEA expression, age, and the primary tumor’s SUVmax value. To enhance the prognostic value of the primary tumor’s SUVmax value, minimizing bias between facilities and models could lead to a more accurate prognostication.
Rights: http://creativecommons.org/licenses/by/4.0/
Type: article
URI: http://hdl.handle.net/2115/80009
Appears in Collections:北海道大学病院 (Hokkaido University Hospital) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 新垣 雅人

Export metadata:

OAI-PMH ( junii2 , jpcoar_1.0 )

MathJax is now OFF:


 

 - Hokkaido University