Literature DB >> 31339353

Identification of Axillary Lymph Node Metastasis in Patients With Breast Cancer Using Dual-Phase FDG PET/CT.

Shinsuke Sasada1, Norio Masumoto1, Yuri Kimura1, Keiko Kajitani1, Akiko Emi1, Takayuki Kadoya1, Morihito Okada1.   

Abstract

OBJECTIVE. The aim of this study was to assess the diagnostic performance of dual-phase 18F-FDG PET/CT in detecting axillary lymph node metastasis in patients with breast cancer. MATERIALS AND METHODS. A total of 826 patients with breast cancer were retrospectively evaluated. PET/CT scans were performed 1 hour and 2 hours after FDG administration before treatment. The maximum standardized uptake value (SUVmax) in the axillary lymph node at both time points (hereafter referred to as SUVmax1 and SUVmax2, respectively) and the retention index (RI) were calculated. RESULTS. Axillary lymph node metastasis was detected in 285 of 826 patients (34.5%). The median axillary SUVmax1, SUVmax2, and RI in patients with nodal metastasis were higher than those in patients without metastasis (1.5 vs 0.6, 1.6 vs 0.5, and 7.7 vs -3.7, respectively; all p < 0.001). The diagnostic accuracy of axillary SUVmax1 and SUVmax2 was equivalent, and the sensitivity and specificity of SUVmax1 were 74.7% and 83.4%, respectively. Although the performance of the axillary RI was inferior to that of SUVmax1 and SUVmax2, both the SUVmax and the RI were independent predictors of nodal metastasis, and a positive RI suggested axillary lymph node involvement when the SUVmax1 was significantly high. Of 533 patients with category T1-2 breast cancer without lymph node swelling, 101 (19.0%) had pathologic lymph node involvement; the negative predictive value of axillary SUVmax1 was 86.8%. CONCLUSION. Delayed phase imaging identified axillary lymph node metastasis as accurately as standard PET/CT. A high negative predictive value of PET/CT for the detection of nodal metastasis is helpful to avoid surgical axillary assessment in patients with category T1-2 breast cancer without lymph node swelling.

Entities:  

Keywords:  18F-FDG; PET; breast neoplasms; lymphatic metastasis

Year:  2019        PMID: 31339353     DOI: 10.2214/AJR.19.21373

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  5 in total

1.  Prediction of Metastasis in the Axillary Lymph Nodes of Patients With Breast Cancer: A Radiomics Method Based on Contrast-Enhanced Computed Tomography.

Authors:  Chunmei Yang; Jing Dong; Ziyi Liu; Qingxi Guo; Yue Nie; Deqing Huang; Na Qin; Jian Shu
Journal:  Front Oncol       Date:  2021-09-20       Impact factor: 6.244

2.  A Nomogram for Predicting Lymphovascular Invasion in Superficial Esophageal Squamous Cell Carcinoma.

Authors:  Rongwei Ruan; Shengsen Chen; Yali Tao; Jiangping Yu; Danping Zhou; Zhao Cui; Qiwen Shen; Shi Wang
Journal:  Front Oncol       Date:  2021-05-10       Impact factor: 6.244

3.  Malignant prediction of incidental findings using ring-type dedicated breast positron emission tomography.

Authors:  Shinsuke Sasada; Norio Masumoto; Akiko Emi; Takayuki Kadoya; Morihito Okada
Journal:  Sci Rep       Date:  2022-01-21       Impact factor: 4.379

4.  Investigation of Added Value of Imaging Performed in a Prone Position to Standard 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Imaging for Staging in Patients with Breast Cancer.

Authors:  Ezgi Başak Erdoğan; Mehmet Aydın
Journal:  Mol Imaging Radionucl Ther       Date:  2022-02-02

5.  Artificial Intelligence Algorithm-Based Ultrasound Image Segmentation Technology in the Diagnosis of Breast Cancer Axillary Lymph Node Metastasis.

Authors:  Lianhua Zhang; Zhiying Jia; Xiaoling Leng; Fucheng Ma
Journal:  J Healthc Eng       Date:  2021-07-22       Impact factor: 2.682

  5 in total

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