Literature DB >> 25072926

Value of 18F-FDG PET/CT for early prediction of pathologic response (by residual cancer burden criteria) of locally advanced breast cancer to neoadjuvant chemotherapy.

Seok Mo Lee1, Sang Kyun Bae, Tae Hyun Kim, Hye Kyoung Yoon, Soo Jin Jung, Ji Sun Park, Chun K Kim.   

Abstract

PURPOSE: A relatively new pathologic grading system, called residual cancer burden (RCB) criteria (0 to III), for assessing the response to neoadjuvant chemotherapy (NCT) of breast cancer has been reported to be more accurate than conventional pathologic criteria. This study assesses the value of F-FDG PET/CT in early prediction of chemotherapeutic response determined based on these criteria. PATIENTS AND METHODS: Thirty-six patients with locally advanced breast cancer underwent F-FDG PET/CT before and after the first (just before the second) cycle of NCT. Percentage changes (%△) in SUVmax, metabolic tumor volume (MTV), and total lesion glycolysis (TLG) between F-FDG PET/CT before and after the first cycle of NCT were correlated with RCB index on pathologic specimens after the completion of NCT.
RESULTS: The %△SUVmax, %△MTV, and %△TLG in the RCB 0/I group (n = 5) were all significantly larger than those in the RCB II/III group (n = 31) (82.9%, 100%, and 100% vs 45.8%, 83.2%, and 88.0%, respectively, P < 0.01). The sensitivity/specificity/accuracy of the optimal cutoff %△SUVmax, %△MTV, and %△TLG for discriminating RCB 0/I group from RCB II/III group based on the receiver operating characteristic analysis were 80.0%/96.8%/94.4%, 100%/80.6%/83.3%, and 100%/80.6%/83.3%, respectively. The area under the curve for the 3 parameters was 0.923, 0.903, and 0.884, respectively, and not statistically different.
CONCLUSIONS: The %Δmetabolic parameters derived from F-FDG PET/CT studies performed before and after the first cycle of NCT in patients with locally advanced breast cancer appear to be useful in early prediction of eventual therapy response determined based on the RCB pathologic grading system.

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Year:  2014        PMID: 25072926     DOI: 10.1097/RLU.0000000000000531

Source DB:  PubMed          Journal:  Clin Nucl Med        ISSN: 0363-9762            Impact factor:   7.794


  11 in total

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Review 2.  The accuracy of 18F-FDG PET/CT in predicting the pathological response to neoadjuvant chemotherapy in patients with breast cancer: a meta-analysis and systematic review.

Authors:  Fangfang Tian; Guohua Shen; Yunfu Deng; Wei Diao; Zhiyun Jia
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Review 4.  The Evolving Role of FDG-PET/CT in the Diagnosis, Staging, and Treatment of Breast Cancer.

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Journal:  Mol Imaging Biol       Date:  2019-02       Impact factor: 3.488

5.  Metabolic Tumor Burden Assessed by Dual Time Point [18F]FDG PET/CT in Locally Advanced Breast Cancer: Relation with Tumor Biology.

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Journal:  Mol Imaging Biol       Date:  2017-08       Impact factor: 3.488

6.  ⁹⁹mTc-3PRGD₂ SPECT to monitor early response to neoadjuvant chemotherapy in stage II and III breast cancer.

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Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-05-07       Impact factor: 9.236

7.  Prognostic Value of Metabolic and Volumetric Parameters of Preoperative FDG-PET/CT in Patients With Resectable Pancreatic Cancer.

Authors:  Hyung-Jun Im; Suthet Oo; Woohyun Jung; Jin-Young Jang; Sun-Whe Kim; Gi Jeong Cheon; Keon Wook Kang; June-Key Chung; E Edmund Kim; Dong Soo Lee
Journal:  Medicine (Baltimore)       Date:  2016-05       Impact factor: 1.889

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

Authors:  Young-Sil An; Doo Kyoung Kang; Yongsik Jung; Tae Hee Kim
Journal:  Medicine (Baltimore)       Date:  2017-11       Impact factor: 1.817

Review 9.  Evaluation of the Efficacy of Neoadjuvant Chemotherapy for Breast Cancer.

Authors:  Huan Wang; Xiaoyun Mao
Journal:  Drug Des Devel Ther       Date:  2020-06-18       Impact factor: 4.162

10.  Reduction of the fluorine-18-labeled fluorodeoxyglucose dose for clinically dedicated breast positron emission tomography.

Authors:  Yoko Satoh; Tetsuro Sekine; Yoshie Omiya; Hiroshi Onishi; Utaroh Motosugi
Journal:  EJNMMI Phys       Date:  2019-11-29
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