Literature DB >> 27401897

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.

Sara Sheikhbahaei1, Tyler J Trahan1, Jennifer Xiao1, Mehdi Taghipour1, Esther Mena1, Roisin M Connolly2, Rathan M Subramaniam3.   

Abstract

INTRODUCTION: This study compared the diagnostic test accuracy of magnetic resonance imaging (MRI) with that of (18)F-fluoro-2-glucose-positron emission tomography/computed tomography (FDG-PET/CT) imaging in assessment of response to neoadjuvant chemotherapy (NAC) in breast cancer.
METHODS: A systematic search was performed in PubMed and EMBASE (last updated in June 2015). Studies investigating the performance of MRI and FDG-PET or FDG-PET/CT imaging during or after completion of NAC in patients with histologically proven breast cancer were eligible for inclusion. We considered only studies reporting a direct comparison between these imaging modalities to establish precise summary estimates in the same setting of patients. Pathologic response was considered as the reference standard. Two authors independently screened and selected studies that met the inclusion criteria and extracted the data.
RESULTS: A total of 10 studies were included. The pooled estimates of sensitivity and specificity across all included studies were 0.71 and 0.77 for FDG-PET/CT (n = 535) and 0.88 and 0.55 for MRI (n = 492), respectively. Studies were subgrouped according to the time of therapy assessment. In the intra-NAC setting, FDG-PET/CT imaging outperformed MRI with fairly similar pooled sensitivity (0.91 vs. 0.89) and higher specificity (0.69 vs. 0.42). However, MRI appeared to have higher diagnostic accuracy than FDG-PET/CT imaging when performed after the completion of NAC, with significantly higher sensitivity (0.88 vs. 0.57).
CONCLUSION: Analysis of the available studies of patients with breast cancer indicates that the timing of imaging for NAC-response assessment exerts a major influence on the estimates of diagnostic accuracy. FDG-PET/CT imaging outperformed MRI in intra-NAC assessment, whereas the overall performance of MRI was higher after completion of NAC, before surgery. IMPLICATIONS FOR PRACTICE: The timing of therapy assessment imaging exerts a major influence on overall estimates of diagnostic accuracy. (18)F-fluoro-2-glucose-positron emission tomography (FDG-PET)/computed tomography (CT) imaging outperformed magnetic resonance imaging (MRI) in intra-neoadjuvant chemotherapy assessment with fairly similar pooled sensitivity and higher specificity. However, MRI appeared to be more accurate than FDG-PET/CT in predicting pathologic response when used in the post-therapy setting. ©AlphaMed Press.

Entities:  

Keywords:  18F-fluoro-2-glucose-positron emission tomography/computed tomography; Breast cancer; Magnetic resonance imaging; Meta-analysis; Neoadjuvant chemotherapy

Mesh:

Substances:

Year:  2016        PMID: 27401897      PMCID: PMC4978549          DOI: 10.1634/theoncologist.2015-0353

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  34 in total

Review 1.  Meta-analysis confirms achieving pathological complete response after neoadjuvant chemotherapy predicts favourable prognosis for breast cancer patients.

Authors:  Xiangnan Kong; Meena S Moran; Ning Zhang; Bruce Haffty; Qifeng Yang
Journal:  Eur J Cancer       Date:  2011-07-05       Impact factor: 9.162

2.  Magnetic resonance imaging response monitoring of breast cancer during neoadjuvant chemotherapy: relevance of breast cancer subtype.

Authors:  Claudette E Loo; Marieke E Straver; Sjoerd Rodenhuis; Sara H Muller; Jelle Wesseling; Marie-Jeanne T F D Vrancken Peeters; Kenneth G A Gilhuijs
Journal:  J Clin Oncol       Date:  2011-01-10       Impact factor: 44.544

Review 3.  Role of positron emission tomography for the monitoring of response to therapy in breast cancer.

Authors:  Olivier Humbert; Alexandre Cochet; Bruno Coudert; Alina Berriolo-Riedinger; Salim Kanoun; François Brunotte; Pierre Fumoleau
Journal:  Oncologist       Date:  2015-01-05

4.  Neoadjuvant chemotherapy in breast cancer: prediction of pathologic response with PET/CT and dynamic contrast-enhanced MR imaging--prospective assessment.

Authors:  Ukihide Tateishi; Mototaka Miyake; Tomoaki Nagaoka; Takashi Terauchi; Kazunori Kubota; Takayuki Kinoshita; Hiromitsu Daisaki; Homer A Macapinlac
Journal:  Radiology       Date:  2012-04       Impact factor: 11.105

5.  Predictive value of neoadjuvant chemotherapy failure in breast cancer using FDG-PET after the first course.

Authors:  Hélène Kolesnikov-Gauthier; Laurence Vanlemmens; Marie-Christine Baranzelli; Philippe Vennin; Véronique Servent; Charles Fournier; Philippe Carpentier; Jacques Bonneterre
Journal:  Breast Cancer Res Treat       Date:  2011-10-26       Impact factor: 4.872

6.  TBCRC 008: early change in 18F-FDG uptake on PET predicts response to preoperative systemic therapy in human epidermal growth factor receptor 2-negative primary operable breast cancer.

Authors:  Roisin M Connolly; Jeffrey P Leal; Matthew P Goetz; Zhe Zhang; Xian C Zhou; Lisa K Jacobs; Joyce Mhlanga; Joo H O; John Carpenter; Anna Maria Storniolo; Stanley Watkins; John H Fetting; Robert S Miller; Kostandinos Sideras; Stacie C Jeter; Bridget Walsh; Penny Powers; Jane Zorzi; Judy C Boughey; Nancy E Davidson; Lisa A Carey; Antonio C Wolff; Nagi Khouri; Edward Gabrielson; Richard L Wahl; Vered Stearns
Journal:  J Nucl Med       Date:  2014-12-04       Impact factor: 10.057

7.  Combined use of ¹⁸F-FDG PET/CT and MRI for response monitoring of breast cancer during neoadjuvant chemotherapy.

Authors:  Kenneth E Pengel; Bas B Koolen; Claudette E Loo; Wouter V Vogel; Jelle Wesseling; Esther H Lips; Emiel J Th Rutgers; Renato A Valdés Olmos; Marie Jeanne T F D Vrancken Peeters; Sjoerd Rodenhuis; Kenneth G A Gilhuijs
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-04-29       Impact factor: 9.236

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

Authors:  David Groheux; Mohamed Majdoub; Alice Sanna; Patricia de Cremoux; Elif Hindié; Sylvie Giacchetti; Antoine Martineau; Anne de Roquancourt; Pascal Merlet; Dimitris Visvikis; Matthieu Resche-Rigon; Mathieu Hatt; Marc Espié
Journal:  Radiology       Date:  2015-04-27       Impact factor: 11.105

Review 9.  Current approaches and challenges in monitoring treatment responses in breast cancer.

Authors:  Lindsey J Graham; Matthew P Shupe; Erika J Schneble; Frederick L Flynt; Michael N Clemenshaw; Aaron D Kirkpatrick; Chris Gallagher; Aviram Nissan; Leonard Henry; Alexander Stojadinovic; George E Peoples; Nathan M Shumway
Journal:  J Cancer       Date:  2014-01-05       Impact factor: 4.207

10.  Assessment of residual tumour by FDG-PET: conventional imaging and clinical examination following primary chemotherapy of large and locally advanced breast cancer.

Authors:  J Dose-Schwarz; R Tiling; S Avril-Sassen; S Mahner; A Lebeau; C Weber; M Schwaiger; F Jänicke; M Untch; N Avril
Journal:  Br J Cancer       Date:  2009-11-17       Impact factor: 7.640

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  22 in total

Review 1.  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 2.  MRI Performance in Detecting pCR After Neoadjuvant Chemotherapy by Molecular Subtype of Breast Cancer.

Authors:  Nancy Yu; Vivian W Y Leung; Sarkis Meterissian
Journal:  World J Surg       Date:  2019-09       Impact factor: 3.352

3.  Dedicated Breast Positron Emission Tomography for the Evaluation of Early Response to Neoadjuvant Chemotherapy in Breast Cancer.

Authors:  Ella F Jones; Kimberly M Ray; Wen Li; Youngho Seo; Benjamin L Franc; Amy J Chien; Laura J Esserman; Miguel H Pampaloni; Bonnie N Joe; Nola M Hylton
Journal:  Clin Breast Cancer       Date:  2016-12-29       Impact factor: 3.225

4.  Response to neoadjuvant chemotherapy for breast cancer judged by PERCIST - multicenter study in Japan.

Authors:  Kazuhiro Kitajima; Koya Nakatani; Kazushige Yamaguchi; Masatoyo Nakajo; Atsushi Tani; Mana Ishibashi; Keiko Hosoya; Takahiro Morita; Takayuki Kinoshita; Hayato Kaida; Yasuo Miyoshi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-05-12       Impact factor: 9.236

Review 5.  Imaging for Response Assessment in Cancer Clinical Trials.

Authors:  Anna G Sorace; Asser A Elkassem; Samuel J Galgano; Suzanne E Lapi; Benjamin M Larimer; Savannah C Partridge; C Chad Quarles; Kirsten Reeves; Tiara S Napier; Patrick N Song; Thomas E Yankeelov; Stefanie Woodard; Andrew D Smith
Journal:  Semin Nucl Med       Date:  2020-06-10       Impact factor: 4.446

6.  Early Assessment Window for Predicting Breast Cancer Neoadjuvant Therapy using Biomarkers, Ultrasound, and Diffuse Optical Tomography.

Authors:  Quing Zhu; Foluso O Ademuyiwa; Catherine Young; Catherine Appleton; Matthew F Covington; Cynthia Ma; Souzan Sanati; Ian S Hagemann; Atahar Mostafa; K M Shihab Uddin; Isabella Grigsby; Ashley E Frith; Leonel F Hernandez-Aya; Steven S Poplack
Journal:  Breast Cancer Res Treat       Date:  2021-05-10       Impact factor: 4.872

7.  Minimally Invasive Complete Response Assessment of the Breast After Neoadjuvant Systemic Therapy for Early Breast Cancer (MICRA trial): Interim Analysis of a Multicenter Observational Cohort Study.

Authors:  Ariane A van Loevezijn; Marieke E M van der Noordaa; Erik D van Werkhoven; Claudette E Loo; Gonneke A O Winter-Warnars; Terry Wiersma; Koen K van de Vijver; Emilie J Groen; Charlotte F J M Blanken-Peeters; Bas J G L Zonneveld; Gabe S Sonke; Frederieke H van Duijnhoven; Marie-Jeanne T F D Vrancken Peeters
Journal:  Ann Surg Oncol       Date:  2020-12-02       Impact factor: 5.344

8.  Avoiding breast cancer surgery in a select cohort of complete responders to neoadjuvant chemotherapy: The long-term outcomes.

Authors:  Anuradha Apte; Simon Marsh; Sankaran Chandrasekharan; Arunmoy Chakravorty
Journal:  Ann Med Surg (Lond)       Date:  2021-05-07

Review 9.  Conscious sedation compared to general anesthesia for intracranial mechanical thrombectomy: A meta-analysis.

Authors:  Huasu Shen; Xiaoyu Ma; Zhen Wu; Xian Shao; Jingjing Cui; Bao Zhang; Mohamed Ea Abdelrahim; Jin Zhang
Journal:  Brain Behav       Date:  2021-05-07       Impact factor: 2.708

10.  A Meta-Analysis for Using Radiomics to Predict Complete Pathological Response in Esophageal Cancer Patients Receiving Neoadjuvant Chemoradiation.

Authors:  Yung-Shuo Kao; Yen Hsu
Journal:  In Vivo       Date:  2021 May-Jun       Impact factor: 2.406

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