Literature DB >> 35111608

Diagnostic performance of a novel high-resolution dedicated axillary PET system in the assessment of regional nodal spread of disease in early breast cancer.

Jingyi Cheng1,2,3, Junjie Li2,4,5, Guangyu Liu2,4,5, Ruohong Shui2,6, Sheng Chen2,4,5, Benlong Yang2,4,5, Zhimin Shao2,4,5.   

Abstract

BACKGROUND: In early breast cancer, a non-invasive method with higher sensitivity and negative predictive value (NPV) is needed to identify and recognize more indolent axillary lymph nodes (ALNs). This study aimed to assess whether a novel high-resolution dedicated ALN positron emission tomography (LymphPET) system could improve sensitivity in detecting early breast cancer (clinical N0-N1 stage).
METHODS: A total of 103 patients with clinical stage T1-2N0-1M0 breast cancer were evaluated by 18F-fluorodeoxyglucose (18F-FDG) LymphPET. The maximum single-voxel PET uptake value of ALNs (maxLUV) and the tumor-to-background ratio (TBR) for fat (TBR1) and muscle (TBR2) tissue were calculated. Then, 78 patients with cN0 stage breast cancer received sentinel lymph node biopsy alone or combined with axillary lymph node dissection (ALND), and 25 patients with cN1 stage breast cancer underwent fine-needle aspiration.
RESULTS: A total of 99 invasive breast carcinoma cases were included in this study. The diagnostic sensitivity of LymphPET was 88%, specificity was 79%, false-negative rate was 12%, the false-positive rate was 21%, positive predictive value was 75%, NPV was 90%, and accuracy was 83%. The maxLUV was superior to TBR1 and TBR2 in detecting ALNs, with 0.27 being the most optimal cutoff value.
CONCLUSIONS: The 18F-FDG LymphPET system can be used to identify and recognize more indolent ALNs of breast cancer due to greater sensitivity and a much higher NPV. 2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Entities:  

Keywords:  Lymph node assessment; molecular imaging; new PET technology

Year:  2022        PMID: 35111608      PMCID: PMC8739142          DOI: 10.21037/qims-21-388

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  38 in total

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2.  Preliminary results for positron emission mammography: real-time functional breast imaging in a conventional mammography gantry.

Authors:  I Weinberg; S Majewski; A Weisenberger; A Markowitz; L Aloj; L Majewski; D Danforth; J Mulshine; K Cowan; J Zujewski; C Chow; E Jones; V Chang; W Berg; J Frank
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3.  (18)F-FDG PET/CT with Contrast Enhancement for Evaluation of Axillary Lymph Node Involvement in T1 Breast Cancer.

Authors:  Eun Jung Kong; Kyung Ah Chun; Ihn Ho Cho; Soo Jung Lee
Journal:  Nucl Med Mol Imaging       Date:  2010-06-15

4.  Eighth Edition of the AJCC Cancer Staging Manual: Breast Cancer.

Authors:  Armando E Giuliano; Stephen B Edge; Gabriel N Hortobagyi
Journal:  Ann Surg Oncol       Date:  2018-04-18       Impact factor: 5.344

5.  Positron emission mammography-guided breast biopsy.

Authors:  R R Raylman; S Majewski; A G Weisenberger; V Popov; R Wojcik; B Kross; J S Schreiman; H A Bishop
Journal:  J Nucl Med       Date:  2001-06       Impact factor: 10.057

6.  Occult breast cancer: scintimammography with high-resolution breast-specific gamma camera in women at high risk for breast cancer.

Authors:  Rachel F Brem; Jocelyn A Rapelyea; Gilat Zisman; Kevin Mohtashemi; Joyce Raub; Christine B Teal; Stan Majewski; Benjamin L Welch
Journal:  Radiology       Date:  2005-08-26       Impact factor: 11.105

7.  Preoperative ultrasound-guided needle biopsy of axillary nodes in invasive breast cancer: meta-analysis of its accuracy and utility in staging the axilla.

Authors:  Nehmat Houssami; Stefano Ciatto; Robin M Turner; Hiram S Cody; Petra Macaskill
Journal:  Ann Surg       Date:  2011-08       Impact factor: 12.969

8.  Positron emission mammography: correlation of estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 status and 18F-FDG.

Authors:  Carolyn L Wang; Lawrence R MacDonald; James V Rogers; Aleksandr Aravkin; David R Haseley; J David Beatty
Journal:  AJR Am J Roentgenol       Date:  2011-08       Impact factor: 3.959

9.  Clinical imaging characteristics of the positron emission mammography camera: PEM Flex Solo II.

Authors:  Lawrence MacDonald; John Edwards; Thomas Lewellen; David Haseley; James Rogers; Paul Kinahan
Journal:  J Nucl Med       Date:  2009-09-16       Impact factor: 10.057

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  1 in total

1.  Development of High-Resolution Dedicated PET-Based Radiomics Machine Learning Model to Predict Axillary Lymph Node Status in Early-Stage Breast Cancer.

Authors:  Jingyi Cheng; Caiyue Ren; Guangyu Liu; Ruohong Shui; Yingjian Zhang; Junjie Li; Zhimin Shao
Journal:  Cancers (Basel)       Date:  2022-02-14       Impact factor: 6.639

  1 in total

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