| Title |
Utility of 18F FDG-PET/CT for predicting prognosis of luminal-type breast cancer
|
|---|---|
| Published in |
Breast Cancer Research and Treatment, February 2015
|
| DOI | 10.1007/s10549-015-3303-9 |
| Pubmed ID | |
| Authors |
Kenjiro Aogi, Takayuki Kadoya, Yoshifumi Sugawara, Sachiko Kiyoto, Hideo Shigematsu, Norio Masumoto, Morihito Okada |
| Abstract |
Postoperative prognosis is better for hormonal receptor-positive breast cancer than for other phenotypes; however, there are no definitive predictive factors for relapse or survival. This study aimed to evaluate the maximum standardized uptake value (SUVmax) on (18)F-fluoro-2-deoxy-glucose positron emission tomography/computed tomography (FDG-PET/CT) and clinicopathological characteristics as possible predictors of postoperative relapse-free survival (RFS) and overall survival (OS) in hormonal receptor-positive breast cancer patients. We evaluated 262 patients with Stage I-III breast cancer diagnosed as luminal type (luminal A, 166; luminal B, 96 patients) who underwent preoperative FDG-PET/CT between January 2006 and December 2011 at two institutions. The relationships among SUVmax and clinicopathological factors (age, clinical T/N stage, nuclear grade, lymph node metastasis and vascular invasion) were evaluated. A phantom study was performed to correct differences in PET/CT analysis between two institutions. The patients were divided according to the SUVmax cutoff on receiver operating characteristic (ROC) analysis for OS (≤6.0 group vs. >6.0 group, AUC = 0.742). Clinical T-factor and nuclear grade were significantly correlated with SUVmax (p < 0.0001 and p = 0.0092, respectively). In the uni- and multivariate analyses using the Cox model for relapse, SUVmax was significant (p = 0.013 and p = 0.055, respectively) among characteristics. RFS curves showed that prognosis was significantly better for the SUVmax ≤ 6.0 group than for the SUVmax > 6.0 group (p = 0.004). Similarly, SUVmax was significant for OS (p = 0.007 and p = 0.008). OS was significantly different between the SUVmax ≤ 6.0 and >6.0 groups (p < 0.001). SUVmax was useful for predicting outcomes in patients with luminal-type breast cancer. |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 7 | 19% |
| Other | 4 | 11% |
| Student > Ph. D. Student | 4 | 11% |
| Researcher | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Other | 7 | 19% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 56% |
| Nursing and Health Professions | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Computer Science | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 9 | 25% |
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 24 February 2015.
All research outputs
#20,262,276
of 22,792,160 outputs
Outputs from Breast Cancer Research and Treatment
#4,107
of 4,655 outputs
Outputs of similar age
#214,613
of 254,710 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#54
of 67 outputs
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