[18F]FDG-PET predicts complete pathological response of breast cancer to neoadjuvant chemotherapy

Alina Berriolo-Riedinger; Claude Touzery; Jean-Marc Riedinger; Michel Toubeau; Bruno Coudert; Laurent Arnould; Christophe Boichot; Alexandre Cochet; Pierre Fumoleau; Fran?ois Brunotte

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[18F]FDG-PET predicts complete pathological response of breast cancer to neoadjuvant chemotherapy

机译：[18 F] FDG-PET预测乳腺癌对新辅助化疗的完全病理反应

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摘要

To evaluate, in breast cancer patients treated by neoadjuvant chemotherapy, the predictive value of reduction in FDG uptake with regard to complete pathological response (pCR).

机译：为了评估在接受新辅助化疗的乳腺癌患者中，FDG摄取减少对完全病理反应（pCR）的预测价值。

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来源
《European Journal of Nuclear Medicine and Molecular Imaging 》 |2007年第12期| 1915-1924| 共10页
作者
Alina Berriolo-Riedinger; Claude Touzery; Jean-Marc Riedinger; Michel Toubeau; Bruno Coudert; Laurent Arnould; Christophe Boichot; Alexandre Cochet; Pierre Fumoleau; Fran?ois Brunotte;
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作者单位

Department of Nuclear Medicine Centre Georges Francois Leclerc Dijon France;

Department of Nuclear Medicine Centre Georges Francois Leclerc Dijon France;

Department of Nuclear Medicine Centre Georges Francois Leclerc Dijon France;

Department of Nuclear Medicine Centre Georges Francois Leclerc Dijon France;

Department of Medical Oncology Centre Georges Francois Leclerc Dijon France;

Department of Pathology Centre Georges Francois Leclerc Dijon France;

Department of Nuclear Medicine Centre Georges Francois Leclerc Dijon France;

Department of Nuclear Medicine Centre Georges Francois Leclerc Dijon France;

Department of Medical Oncology Centre Georges Francois Leclerc Dijon France;

Department of Nuclear Medicine Centre Georges Francois Leclerc Dijon France;

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原文格式 PDF
正文语种 eng
中图分类
关键词
18F-fluorodeoxyglucose; Breast cancer; PET scan; Monitoring therapy; SUV;

机译：18F-氟脱氧葡萄糖;乳腺癌;PET扫描;监测治疗;SUV;

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专利

1. Predictive ability of 18F-fluorodeoxyglucose positron emission tomography/computed tomography for pathological complete response and prognosis after neoadjuvant chemotherapy in triple-negative breast cancer patients [J] . Sachiko Kiyoto, Yoshifumi Sugawara, Kohei Hosokawa, Asia Oceania Journal of Nuclear Medicine & Biology . 2016 ,第1期

机译：18F-氟脱氧葡萄糖正电子发射断层扫描/计算机断层扫描对三阴性乳腺癌患者新辅助化疗后病理学完全缓解和预后的预测能力
2. 18F-fluorodeoxyglucose uptake predicts pathological complete response after neoadjuvant chemotherapy for breast cancer: A retrospective cohort study [J] . JinS., KimS.-B., AhnJ.-H., Journal of Surgical Oncology . 2013 ,第2期

机译：一项回顾性队列研究表明，18F-氟脱氧葡萄糖摄入量可预测乳腺癌新辅助化疗后的病理完全缓解
3. Breast cancer index predicts pathological complete response and eligibility for breast conserving surgery in breast cancer patients treated with neoadjuvant chemotherapy [J] . MathieuM.C., MazouniC., KestyN.C., Annals of oncology: official journal of the European Society for Medical Oncology . 2012 ,第8期

机译：乳腺癌指数可预测接受新辅助化疗的乳腺癌患者的病理学完全缓解和保乳手术的资格
4. Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Deep Learning with Integrative Imaging, Molecular and Demographic Data [C] . Hongyi Duanmu, Pauline Boning Huang, Srinidhi Brahmavar, International Conference on Medical Image Computing and Computer-Assisted Intervention . 2020

机译：利用综合成像，分子和人口统计数据预测对乳腺癌新辅助化疗的病理完全反应
5. Using Preoperative Mri-guided Biopsies to Predict Pathologic Complete Response after Neoadjuvant Chemotherapy in Breast Cancer [D] . Kim, Jiyoon. 2019

机译：在乳腺癌新辅助化疗后使用术前Mri引导的活检来预测病理完全缓解
6. Utility of 18F-FDG PET/CT for predicting pathologic complete response in hormone receptor-positive HER2-negative breast cancer patients receiving neoadjuvant chemotherapy [O] . In Hee Lee, Soo Jung Lee, Jeeyeon Lee, 2020

机译：18F-FDG PET / CT用于预测荷尔蒙受体阳性HER2阴性乳腺癌患者的病理完全反应接受Neoadjuvant化疗的病理完全反应
7. Utility of 18F-FDG PET/CT for Predicting Pathologic Complete Response in Luminal HER2-Negative Breast Cancer Patients Receiving Neoadjuvant Chemotherapy [O] . In Hee Lee, Soo Jung Lee, Jeeyeon Lee, 2020

机译：18F-FDG PET / CT用于预测腔HER2阴性乳腺癌患者病理完全反应的效用，接受Neoadjuvant化疗

[18F]FDG-PET predicts complete pathological response of breast cancer to neoadjuvant chemotherapy

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