Baseline and early digital [18F]FDG PET/CT and multiparametric MRI contain promising features to predict response to neoadjuvant therapy in locally advanced rectal cancer patients: a pilot study

Author:

Vuijk Floris A.1,Feshtali Shahbazi Shirin2,Noortman Wyanne A.34,van Velden Floris H.P.3,Dibbets-Schneider Petra3,Marinelli Andreas W.K.S.5,Neijenhuis Peter A.6,Schmitz Roderick7,Ghariq Eidrees2,Velema Laura A.8,Peters Femke P.89,Smit Frits3,Peeters Koen C.M.J.1,Temmink Sofieke J.D.1,Crobach Stijn A.L.P.10,Putter Hein11,Vahrmeijer Alexander L.1,Hilling Denise E.11213,de Geus-Oei Lioe-Fee3414

Affiliation:

1. Department of Surgery, Leiden University Medical Center

2. Department of Radiology, Leiden University Medical Center, Leiden

3. Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center

4. Biomedical Photonic Imaging Group, University of Twente, Enschede

5. Department of Surgery, Haaglanden Medisch Centrum, Den Haag

6. Department of Surgery, Alrijne Ziekenhuis, Leiderdorp

7. Department of Surgery, Groene Hart Ziekenhuis, Gouda

8. Department of Radiation Oncology, Leiden University Medical Center

9. Department of Radiation Oncology, Antoni van Leeuwenhoek Hospital, Amsterdam

10. Department of Pathology, Leiden University Medical Center

11. Department of Medical Statistics, Leiden University Medical Center, Leiden

12. Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, University Medical Center Rotterdam

13. Department of Surgery, Ijsselland Ziekenhuis, Capelle a/d IJssel

14. Department of Radiation Science & Technology, Technical University Delft, The Netherlands

Abstract

Objective In this pilot study, we investigated the feasibility of response prediction using digital [18F]FDG PET/computed tomography (CT) and multiparametric MRI before, during, and after neoadjuvant chemoradiation therapy in locally advanced rectal cancer (LARC) patients and aimed to select the most promising imaging modalities and timepoints for further investigation in a larger trial. Methods Rectal cancer patients scheduled to undergo neoadjuvant chemoradiation therapy were prospectively included in this trial, and underwent multiparametric MRI and [18F]FDG PET/CT before, 2 weeks into, and 6–8 weeks after chemoradiation therapy. Two groups were created based on pathological tumor regression grade, that is, good responders (TRG1-2) and poor responders (TRG3-5). Using binary logistic regression analysis with a cutoff value of P ≤ 0.2, promising predictive features for response were selected. Results Nineteen patients were included. Of these, 5 were good responders, and 14 were poor responders. Patient characteristics of these groups were similar at baseline. Fifty-seven features were extracted, of which 13 were found to be promising predictors of response. Baseline [T2: volume, diffusion-weighted imaging (DWI): apparent diffusion coefficient (ADC) mean, DWI: difference entropy], early response (T2: volume change, DWI: ADC mean change) and end-of-treatment presurgical evaluation MRI (T2: gray level nonuniformity, DWI: inverse difference normalized, DWI: gray level nonuniformity normalized), as well as baseline (metabolic tumor volume, total lesion glycolysis) and early response PET/CT (Δ maximum standardized uptake value, Δ peak standardized uptake value corrected for lean body mass), were promising features. Conclusion Both multiparametric MRI and [18F]FDG PET/CT contain promising imaging features to predict response to neoadjuvant chemoradiotherapy in LARC patients. A future larger trial should investigate baseline, early response, and end-of-treatment presurgical evaluation MRI and baseline and early response PET/CT.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3