Literature DB >> 22870824

18F-FDG uptake by metastatic axillary lymph nodes on pretreatment PET/CT as a prognostic factor for recurrence in patients with invasive ductal breast cancer.

Bong-Il Song1, Sang-Woo Lee, Shin Young Jeong, Yee Soo Chae, Won Kee Lee, Byeong-Cheol Ahn, Jaetae Lee.   

Abstract

UNLABELLED: This study assessed the maximum standardized uptake value of metastatic axillary lymph nodes in patients with invasive ductal breast cancer (IDC) to determine the pretreatment prognostic value of (18)F-FDG PET/CT for disease-free survival (DFS).
METHODS: Sixty-five female IDC patients who had undergone pretreatment (18)F-FDG PET/CT and had pathologically confirmed axillary lymph node involvement without distant metastasis were enrolled. All patients showed complete remission after first-line treatment. To obtain nodal SUVmax, a transaxial image representing the highest (18)F-FDG uptake was carefully selected and a region of interest was manually drawn on the (18)F-FDG-accumulating lesion. Clinicopathologic parameters such as age, TNM stage, estrogen receptor status, progesterone receptor status, human epidermal growth factor receptor 2 status, and primary-tumor and nodal SUVmax on PET were analyzed for their usefulness in predicting recurrence. Combinatorial effects and interactions between variables that were significant by univariate analysis were examined using multivariate Cox proportional-hazards models.
RESULTS: Twelve of 65 patients (18.5%) experienced recurrence during follow-up (median follow-up, 36 mo; range, 21-57 mo). Nodal SUVmax was significantly higher in patients with recurrence than in those who were disease-free (recurrence group: 5.2 ± 2.3, vs. disease-free group: 1.9 ± 1.9, P < 0.0001). A receiver-operating-characteristic curve demonstrated a nodal SUVmax of 2.8 (sensitivity, 91.7%; specificity, 86.8%; area under the curve, 0.890) to be the optimal cutoff for predicting DFS. Univariate analysis revealed that T stage, N stage, estrogen receptor status, and primary-tumor and nodal SUVmax correlated significantly with DFS. Among these 5 variables, only nodal SUVmax was found to be a single determinant of DFS by multivariate analysis (hazard ratio, 31.54; 95% confidence interval, 2.66-373.39; P = 0.0065).
CONCLUSION: Nodal SUVmax on pretreatment (18)F-FDG PET/CT may be an independent prognostic factor for disease recurrence in patients with IDC.

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Year:  2012        PMID: 22870824     DOI: 10.2967/jnumed.111.098640

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  33 in total

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2.  Prediction of breast cancer recurrence using lymph node metabolic and volumetric parameters from 18F-FDG PET/CT in operable triple-negative breast cancer.

Authors:  Yong-Il Kim; Yong Joong Kim; Jin Chul Paeng; Gi Jeong Cheon; Dong Soo Lee; June-Key Chung; Keon Wook Kang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-06-14       Impact factor: 9.236

3.  Basal ¹⁸F-fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography as a prognostic biomarker in patients with locally advanced breast cancer.

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Review 4.  Potential Role of PET/MRI for Imaging Metastatic Lymph Nodes in Head and Neck Cancer.

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5.  Staging the axilla in breast cancer patients with ¹⁸F-FDG PET: how small are the metastases that we can detect with new generation clinical PET systems?

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Review 8.  The Evolving Role of FDG-PET/CT in the Diagnosis, Staging, and Treatment of Breast Cancer.

Authors:  Koosha Paydary; Siavash Mehdizadeh Seraj; Mahdi Zirakchian Zadeh; Sahra Emamzadehfard; Sara Pourhassan Shamchi; Saeid Gholami; Thomas J Werner; Abass Alavi
Journal:  Mol Imaging Biol       Date:  2019-02       Impact factor: 3.488

9.  Variation and repeatability of measured standardized uptake values depending on actual values: a phantom study.

Authors:  Tomohiro Kaneta; Na Sun; Matsuyoshi Ogawa; Hitoshi Iizuka; Tetsu Arisawa; Ayako Hino-Shishikura; Keisuke Yoshida; Tomio Inoue
Journal:  Am J Nucl Med Mol Imaging       Date:  2017-11-01

10.  18F-FDG uptake in breast cancer correlates with immunohistochemically defined subtypes.

Authors:  Hye Ryoung Koo; Jeong Seon Park; Keon Wook Kang; Nariya Cho; Jung Min Chang; Min Sun Bae; Won Hwa Kim; Su Hyun Lee; Mi Young Kim; Jin You Kim; Mirinae Seo; Woo Kyung Moon
Journal:  Eur Radiol       Date:  2013-10-05       Impact factor: 5.315

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