Literature DB >> 29758503

MRI and PET/CT for evaluation of the pathological response to neoadjuvant chemotherapy in breast cancer: A systematic review and meta-analysis.

Huimin Li1, Liang Yao2, Penghui Jin3, Lidong Hu3, Xiaofei Li4, Tiankang Guo5, Kehu Yang6.   

Abstract

BACKGROUND: Neoadjuvant chemotherapy (NAC) has become an essential treatment for breast cancer. However, there is still no consensus on the best tool to evaluate pathological response to NAC.
METHODS: Two reviewers systematically searched Cochrane, PubMed, EMBASE, Web of Science, and CBM (last updated in February 2017) for eligible articles. We independently screened and selected studies that conformed to the inclusion criteria and extracted the requisite data. Pooled sensitivity, specificity, and the area under the SROC curve were calculated to estimate the diagnostic accuracy of magnetic resonance imaging (MRI) and positron emission computed tomography (PET/CT). And the relative DOR (RDOR) was used to compare accuracy for levels of the covariable.
RESULTS: Thirteen studies involving 575 patients who underwent MRI and 618 who underwent PET/CT were included in our analysis. The pooled sensitivity and specificity of MRI were 0.88 (95% CI: 0.78-0.94) and 0.69 (95% CI: 0.51-0.83), respectively. The corresponding values for PET/CT were 0.77 (95% CI: 0.58-0.90) and 0.78 (95% CI: 0.63-0.88), respectively. The area under the SROC curve for MRI and PET/CT were 0.88 and 0.84, respectively. And the RDOR = 1.44 (95% CI, 0.46-4.47 P = 0.83).
CONCLUSION: MRI had a higher sensitivity and PET/CT had a higher specificity in predicting the pathologic response after NAC in patients with breast cancer. According to the area under the SROC curve and anatomic discriminative resolution, MRI is the more suitable recommendation for predicting the pathologic response after NAC.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Breast cancer; MRI; Meta-analysis; Neoadjuvant chemotherapy; PET/CT

Mesh:

Year:  2018        PMID: 29758503     DOI: 10.1016/j.breast.2018.04.018

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  18 in total

1.  Prognostic value of response evaluation based on breast MRI after neoadjuvant treatment: a retrospective cohort study.

Authors:  Almir G V Bitencourt; Barbara S Pires; Vinicius F Calsavara; Erika M S Negrão; Juliana A Souza; Luciana Graziano; Camila S Guatelli; Fabiana B Makdissi; Solange M Sanches; Monique C Tavares; Cynthia A B T Osório; Marina De Brot; Elvira F Marques; Rubens Chojniak
Journal:  Eur Radiol       Date:  2021-05-25       Impact factor: 5.315

2.  A systematic review and meta-analysis of traditional Chinese medicine with chemotherapy in breast cancer.

Authors:  Gang Shi; Dan Yu; Juan Wu; Yanru Liu; Ruizhen Huang; Cheng Shun Zhang
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3.  Early ultrasound evaluation identifies excellent responders to neoadjuvant systemic therapy among patients with triple-negative breast cancer.

Authors:  Beatriz E Adrada; Rosalind Candelaria; Stacy Moulder; Alastair Thompson; Peng Wei; Gary J Whitman; Vicente Valero; Jennifer K Litton; Lumarie Santiago; Marion E Scoggins; Tanya W Moseley; Jason B White; Elizabeth E Ravenberg; Wei T Yang; Gaiane M Rauch
Journal:  Cancer       Date:  2021-04-20       Impact factor: 6.921

Review 4.  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

Review 5.  Imaging in Locoregional Management of Breast Cancer.

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Journal:  J Clin Oncol       Date:  2020-05-22       Impact factor: 44.544

6.  Preliminary experiences of PET/MRI in predicting complete response in patients with breast cancer treated with neoadjuvant chemotherapy.

Authors:  Chikako Sekine; Nachiko Uchiyama; Chikashi Watase; Takeshi Murata; Sho Shiino; Kenjiro Jimbo; Eriko Iwamoto; Shin Takayama; Hiroaki Kurihara; Kaishi Satomi; Masayuki Yoshida; Takayuki Kinoshita; Akihiko Suto
Journal:  Mol Clin Oncol       Date:  2021-12-24

Review 7.  Factors affecting the value of diffusion-weighted imaging for identifying breast cancer patients with pathological complete response on neoadjuvant systemic therapy: a systematic review.

Authors:  Kay J J van der Hoogt; Robert J Schipper; Gonneke A Winter-Warnars; Leon C Ter Beek; Claudette E Loo; Ritse M Mann; Regina G H Beets-Tan
Journal:  Insights Imaging       Date:  2021-12-18

8.  The diagnostic accuracy of magnetic resonance imaging in predicting pathologic complete response after neoadjuvant chemotherapy in patients with different molecular subtypes of breast cancer.

Authors:  Xinfeng Zhang; Dandan Wang; Zhuangkai Liu; Zheng Wang; Qiang Li; Hong Xu; Bin Zhang; Ting Liu; Feng Jin
Journal:  Quant Imaging Med Surg       Date:  2020-01

9.  Clinicopathological correlation of radiologic measurement of post-therapy tumor size and tumor volume for pancreatic ductal adenocarcinoma.

Authors:  Dongguang Wei; Mohamed M Zaid; Matthew H Katz; Laura R Prakash; Michael Kim; Ching-Wei D Tzeng; Jeffrey E Lee; Anshuman Agrawal; Asif Rashid; Hua Wang; Gauri Varadhachary; Robert A Wolff; Eric P Tamm; Priya R Bhosale; Anirban Maitra; Eugene J Koay; Huamin Wang
Journal:  Pancreatology       Date:  2020-11-14       Impact factor: 3.996

10.  Pretreatment apparent diffusion coefficient does not predict therapy response to neoadjuvant chemotherapy in breast cancer.

Authors:  Alexey Surov; Andreas Wienke; Hans Jonas Meyer
Journal:  Breast       Date:  2020-06-26       Impact factor: 4.380

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