Volume-based metabolic parameter of breast cancer on preoperative 18F-FDG PET/CT could predict axillary lymph node metastasis.

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Volume-based metabolic parameter of breast cancer on preoperative 18F-FDG PET/CT could predict axillary lymph node metastasis.

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2017 nî lūn-bûn

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2017年学术文章

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2017年学术文章

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Volume-based metabolic paramet ...... xillary lymph node metastasis.

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Volume-based metabolic paramet ...... xillary lymph node metastasis.

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Volume-based metabolic paramet ...... xillary lymph node metastasis.

@en

Volume-based metabolic paramet ...... xillary lymph node metastasis.

@nl

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Volume-based metabolic paramet ...... xillary lymph node metastasis.

@en

Volume-based metabolic paramet ...... xillary lymph node metastasis.

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P1476

Volume-based metabolic paramet ...... xillary lymph node metastasis.

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P2093

Doo Kyoung Kang

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Tae Hee Kim

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Young-Sil An

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P2860

Use of immunohistochemical markers can refine prognosis in triple negative breast cancer.

Prognostic Significance of Metabolic Tumor Volume Measured by (18)F-FDG PET/CT in Operable Primary Breast Cancer.

Predictors of axillary lymph node metastases (ALNM) in a Korean population with T1-2 breast carcinoma: triple negative breast cancer has a high incidence of ALNM irrespective of the tumor size.

Triple-negative breast cancer: clinical features and patterns of recurrence.

Basal-like grade III invasive ductal carcinoma of the breast: patterns of metastasis and long-term survival

Stratifying triple-negative breast cancer prognosis using 18F-FDG-PET/CT imaging.

An overview of prognostic factors for long-term survivors of breast cancer

(18)F-FDG/PET May Help to Identify a Subgroup of Patients with T1-T2 Breast Cancer and 1-3 Positive Lymph Nodes Who Are at a High Risk of Recurrence after Mastectomy

Prognostic value of FDG PET/CT-based metabolic tumor volumes in metastatic triple negative breast cancer patients

Simple Prediction Model of Axillary Lymph Node Positivity After Analyzing Molecular and Clinical Factors in Early Breast Cancer.

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e8557

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scholarly article

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10.1097/MD.0000000000008557

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English

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Yongsik Jung

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2017-11-01T00:00:00Z

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29137072

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5690765

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