| Title |
Predictors for hilar/intrapulmonary lymph node metastasis in discrete type of clinical N1 non-small cell lung cancer
|
|---|---|
| Published in |
General Thoracic and Cardiovascular Surgery, September 2017
|
| DOI | 10.1007/s11748-017-0827-4 |
| Pubmed ID | |
| Authors |
Takayuki Fukui, Katsuhiko Kato, Toshiki Okasaka, Koji Kawaguchi, Koichi Fukumoto, Shota Nakamura, Shuhei Hakiri, Naoki Ozeki, Kohei Yokoi |
| Abstract |
Accurate preoperative evaluation of lymph nodes can provide optimal treatment for patients. However, in patients with clinical N1 disease (cN1) non-small cell lung cancer (NSCLC), no suitable predictor has been identified for hilar/intrapulmonary lymph node metastasis (pathological N1 disease; pN1). The purpose of this study was to identify pN1 in cN1 NSCLC patients. We retrospectively reviewed the clinicoradiological features of 109 patients with a discrete type of cN1 NSCLC who had undergone complete resection at our institution from 2004 to 2015. The association between clinicoradiological variables and nodal status was analyzed to identify predictors for pN1. The cohort consisted of 77 males and 32 females, ranging in age from 39 to 84 years. The breakdown by pathological N category was 40 (37%) pN0, 41 (38%) pN1, and 28 (25%) pN2 patients. Maximum lymph node diameter was identified as a significant predictor for pN1, with an odds ratio of 1.25 (P = 0.010). When limited to 63 patients who underwent positron emission tomography (FDG-PET) at our institution, the maximum standardized uptake value (SUVmax) of the lymph node was an independent predictor, with an odds ratio of 1.91 with logistic regression analysis (P = 0.004). The size of lymph node and the SUVmax were significant factors for pN1, with optimal cut-off values of 13 mm and 4.28, respectively. Among the patients with cN1, maximum lymph node size and SUVmax of the FDG-PET were significant predictors for pN1. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 27% |
| Other | 2 | 18% |
| Librarian | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Researcher | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 55% |
| Agricultural and Biological Sciences | 1 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Unknown | 3 | 27% |
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 15 March 2018.
All research outputs
#18,590,133
of 23,026,672 outputs
Outputs from General Thoracic and Cardiovascular Surgery
#229
of 427 outputs
Outputs of similar age
#242,533
of 316,402 outputs
Outputs of similar age from General Thoracic and Cardiovascular Surgery
#2
of 9 outputs
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