Literature DB >> 25915099

Early Metabolic Response to Neoadjuvant Treatment: FDG PET/CT Criteria according to Breast Cancer Subtype.

David Groheux1, Mohamed Majdoub1, Alice Sanna1, Patricia de Cremoux1, Elif Hindié1, Sylvie Giacchetti1, Antoine Martineau1, Anne de Roquancourt1, Pascal Merlet1, Dimitris Visvikis1, Matthieu Resche-Rigon1, Mathieu Hatt1, Marc Espié1.   

Abstract

PURPOSE: To investigate parameters based on fluorine 18 fluorodeoxyglucose (FDG) positron emission tomographic (PET) imaging that are best correlated with pathologic complete response (PCR) in human epidermal growth factor receptor type 2 (HER2)-positive cancer and triple-negative breast cancer (TNBC) and with partial or complete response in ER-positive/HER2-negative breast cancer.
MATERIALS AND METHODS: This study was approved by institutional review board with waivers of informed written consent and included consecutive patients treated by neoadjuvant chemotherapy. Five PET examination-derived parameters were tested: standard uptake value (SUV) maximum (SUV(max)), peak (SUV(peak)), and mean (SUV(mean)), metabolically active tumor volume, and total lesion glycolysis (TLG). Absolute values at baseline PET, at PET imaging after two cycles of chemotherapy, and variation (ie, change) were measured. Correlations with pathologic response (Wilcoxon rank-sum test) and predictive power assessed (area under the curve [AUC] on the basis of receiver operating characteristic analysis) were examined.
RESULTS: Included were 169 consecutive patients (mean age, 50 years). PCR was more frequent in HER2-positive tumors (16 of 33 patients [48.5%]) and TNBCs (20 of 54 patients [37%]) than in ER positive/HER2-negative tumors (four of 82 [4.9%]) (P < .001). Among patients with ER-positive/HER2-negative cancers, 33 patients had partial response. In TNBC, best association with PCR was obtained with change in SUV(max) (AUC, 0.86) or change in TLG (AUC, 0.88). In HER2-positive phenotype, absolute SUV(max) (or SUV(peak)) values at PET imaging after two cycles of chemotherapy (AUC for each cycle, 0.93) were better correlated with PCR than change in SUV(max) (AUC, 0.78; P = .11) or change in TLG (AUC, 0.62; P = .005). Regarding ER-positive/HER2-negative cancers, change in SUV(max) or change in TLG (AUC, 0.75) were parameters best correlated with partial or complete response. Baseline SUV(max) was higher in lymph nodes than in primary tumor in 31 patients. Findings were similar considering the site with highest FDG uptake.
CONCLUSION: Quantitative indexes of tumor glucose use that are best correlated with pathologic response vary by phenotype: change in SUV(max) or TLG are most adequate for TNBCs and ER-positive/ HER2-negative cancers and absolute SUV(max) after two cycles of chemotherapy for HER2-positive breast cancers. © RSNA, 2015.

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Year:  2015        PMID: 25915099     DOI: 10.1148/radiol.2015141638

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  25 in total

1.  PET/CT-Based Response Evaluation in Cancer-a Systematic Review of Design Issues.

Authors:  Oke Gerke; Karen Ehlers; Edith Motschall; Poul Flemming Høilund-Carlsen; Werner Vach
Journal:  Mol Imaging Biol       Date:  2020-02       Impact factor: 3.488

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
Journal:  Eur Radiol       Date:  2017-05-05       Impact factor: 5.315

Review 3.  ¹⁸F-FDG PET/CT in the early prediction of pathological response in aggressive subtypes of breast cancer: review of the literature and recommendations for use in clinical trials.

Authors:  David Groheux; David Mankoff; Marc Espié; Elif Hindié
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-01-13       Impact factor: 9.236

4.  FDG-PET/CT and MRI for Evaluation of Pathologic Response to Neoadjuvant Chemotherapy in Patients With Breast Cancer: A Meta-Analysis of Diagnostic Accuracy Studies.

Authors:  Sara Sheikhbahaei; Tyler J Trahan; Jennifer Xiao; Mehdi Taghipour; Esther Mena; Roisin M Connolly; Rathan M Subramaniam
Journal:  Oncologist       Date:  2016-07-08

5.  Noninvasive 89Zr-Transferrin PET Shows Improved Tumor Targeting Compared with 18F-FDG PET in MYC-Overexpressing Human Triple-Negative Breast Cancer.

Authors:  Kelly E Henry; Thomas R Dilling; Dalya Abdel-Atti; Kimberly J Edwards; Michael J Evans; Jason S Lewis
Journal:  J Nucl Med       Date:  2017-08-28       Impact factor: 10.057

Review 6.  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

7.  Optical Mammography in Patients with Breast Cancer Undergoing Neoadjuvant Chemotherapy: Individual Clinical Response Index.

Authors:  Pamela G Anderson; Sirishma Kalli; Angelo Sassaroli; Nishanth Krishnamurthy; Shital S Makim; Roger A Graham; Sergio Fantini
Journal:  Acad Radiol       Date:  2017-05-19       Impact factor: 3.173

8.  Complete Metabolic Response on Interim 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography to Predict Long-Term Survival in Patients with Breast Cancer Undergoing Neoadjuvant Chemotherapy.

Authors:  Suyun Chen; Nuhad K Ibrahim; Yuanqing Yan; Stephen T Wong; Hui Wang; Franklin C Wong
Journal:  Oncologist       Date:  2017-04-04

9.  Integrated 18F-FDG PET/MRI in breast cancer: early prediction of response to neoadjuvant chemotherapy.

Authors:  Nariya Cho; Seock-Ah Im; Gi Jeong Cheon; In-Ae Park; Kyung-Hun Lee; Tae-Yong Kim; Young Seon Kim; Bo Ra Kwon; Jung Min Lee; Hoon Young Suh; Koung Jin Suh
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-11-04       Impact factor: 9.236

Review 10.  Molecular Imaging of Biomarkers in Breast Cancer.

Authors:  Gary A Ulaner; Chris C Riedl; Maura N Dickler; Komal Jhaveri; Neeta Pandit-Taskar; Wolfgang Weber
Journal:  J Nucl Med       Date:  2016-02       Impact factor: 10.057

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