DW-MRI and DCE-MRI are of complementary value in predicting pathologic response to neoadjuvant chemoradiotherapy for esophageal cancer

被引:53
|
作者
Heethuis, Sophie E. [1 ]
Goense, Lucas [1 ,2 ]
van Rossum, Peter S. N. [1 ]
Borggreve, Alicia S. [1 ,2 ]
Mook, Stella [1 ]
Voncken, Francine E. M. [3 ]
Bartels-Rutten, Annemarieke [4 ]
Aleman, Berthe M. P. [3 ]
van Hillegersberg, Richard [2 ]
Ruurda, Jelle P. [2 ]
Meijer, Gert J. [1 ]
Lagendijk, Jan J. W. [1 ]
van Lier, Astrid L. H. M. W. [1 ]
机构
[1] Univ Med Ctr Utrecht, Dept Radiotherapy, Q00-3-11,POB 85500, NL-3508 GA Utrecht, Netherlands
[2] Univ Med Ctr Utrecht, Dept Surg, Utrecht, Netherlands
[3] Antoni von Leeuwenhoek Hosp, Netherlands Canc Inst, Dept Radiotherapy, Amsterdam, Netherlands
[4] Antoni van Leeuwenhoek Hosp, Netherlands Canc Inst, Dept Radiol, Amsterdam, Netherlands
关键词
CONTRAST-ENHANCED MRI; PREOPERATIVE CHEMORADIOTHERAPY; JUNCTIONAL CANCER; TUMOR RESPONSE; FDG PET; THERAPY; CHEMORADIATION; SURVIVAL; SURGERY; CARCINOMA;
D O I
10.1080/0284186X.2018.1473637
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: To explore the potential benefit and complementary value of a multiparametric approach using diffusion-weighted (DW-) and dynamic contrast-enhanced (DCE-) magnetic resonance imaging (MRI) for prediction of response to neoadjuvant chemoradiotherapy (nCRT) in esophageal cancer. Material and methods: Forty-five patients underwent both DW-MRI and DCE-MRI prior to nCRT (pre), during nCRT (week 2-3) (per) and after completion of nCRT, but prior to esophagectomy (post). Subsequently, histopathologic tumor regression grade (TRG) was assessed. Tumor apparent diffusion coefficient (ADC) and area-under-the-concentration time curve (AUC) were calculated for DW-MRI and DCE-MRI, respectively. The ability of these parameters to predict pathologic complete response (pCR, TRG1) or good response (GR, TRG <= 2) to nCRT was assessed. Furthermore the complementary value of DW-MRI and DCE-MRI was investigated. Results: GR was found in 22 (49%) patients, of which 10 (22%) patients showed pCR. For DW-MRI, the 75th percentile (P75) Delta ADC(post-pre) was most predictive for GR (c-index=0.75). For DCE-MRI, P90 Delta AUC(per-pre) was most predictive for pCR (c-index=0.79). Multivariable logistic regression analyses showed complementary value when combining DW-MRI and DCE-MRI for pCR prediction (c-index=0.89). Conclusions: Both DW-MRI and DCE-MRI are promising in predicting response to nCRT in esophageal cancer. Combining both modalities provides complementary information, resulting in a higher predictive value.
引用
收藏
页码:1201 / 1208
页数:8
相关论文
共 50 条
  • [1] Response assessment to neoadjuvant chemoradiotherapy for esophageal cancer using PET/CT and DW-MRI
    Borggreve, A.
    Goense, L.
    Van Rossum, P. S. N.
    Heethuis, S. E.
    Van Hillegersberg, R.
    Lagendijk, J. J. W.
    Van Lier, A. L. H. M. W.
    Mook, S.
    Ruurda, J. P.
    Van Vulpen, M.
    Voncken, F. E.
    Aleman, B. M. P.
    Bartels-Rutten, A.
    Ma, J.
    Fang, P.
    Musall, B. C.
    Lin, S. H.
    Meijer, G. J.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2019, 133 : S413 - S414
  • [2] Breast MR with special focus on DW-MRI and DCE-MRI
    Petralia, G.
    Bonello, L.
    Priolo, F.
    Summers, P.
    Bellomi, M.
    [J]. CANCER IMAGING, 2011, 11 (01): : 76 - 90
  • [3] The value of GRASP on DCE-MRI for assessing response to neoadjuvant chemotherapy in patients with esophageal cancer
    Lu, Yanan
    Ma, Ling
    Qin, Jianjun
    Wang, Zhaoqi
    Guo, Jia
    Zhao, Yan
    Zhang, Hongkai
    Yan, Xu
    Liu, Hui
    Li, Hailiang
    Kamel, Ihab R.
    Qu, Jinrong
    [J]. BMC CANCER, 2019, 19 (01)
  • [4] The value of GRASP on DCE-MRI for assessing response to neoadjuvant chemotherapy in patients with esophageal cancer
    Yanan Lu
    Ling Ma
    Jianjun Qin
    Zhaoqi Wang
    Jia Guo
    Yan Zhao
    Hongkai Zhang
    Xu Yan
    Hui Liu
    Hailiang Li
    Ihab R. Kamel
    Jinrong Qu
    [J]. BMC Cancer, 19
  • [5] Role of DW-MRI in Predicting Pathologic Complete Response after Neoadjuvant Chemoradiation in Patients with Rectal Cancer
    Joybari, Ali Yaghobi
    Jozian, Fariba
    Alahyari, Sam
    Nasiri, Saeed
    Samsami, Majid
    Sandoughdaran, Saleh
    [J]. MIDDLE EAST JOURNAL OF CANCER, 2023, 14 (01) : 146 - 152
  • [6] Integration of DCE-MRI and DW-MRI Quantitative Parameters for Breast Lesion Classification
    Fusco, Roberta
    Sansone, Mario
    Filice, Salvatore
    Granata, Vincenza
    Catalano, Orlando
    Amato, Daniela Maria
    Di Bonito, Maurizio
    D'Aiuto, Massimiliano
    Capasso, Immacolata
    Rinaldo, Massimo
    Petrillo, Antonella
    [J]. BIOMED RESEARCH INTERNATIONAL, 2015, 2015
  • [7] Radiomics Based on DCE-MRI for Predicting Response to Neoadjuvant Therapy in Breast Cancer
    Zeng, Qiao
    Xiong, Fei
    Liu, Lan
    Zhong, Linhua
    Cai, Fengqin
    Zeng, Xianjun
    [J]. ACADEMIC RADIOLOGY, 2023, 30 : S38 - S49
  • [8] DCE-MRI radiomics features for predicting breast cancer neoadjuvant therapy response
    Kontopodis, E.
    Manikis, G. C.
    Skepasianos, I.
    Tzagkarakis, K.
    Nikiforaki, K.
    Papadakis, G. Z.
    Maris, T. G.
    Papadaki, E.
    Karantanas, A.
    Marias, K.
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGING SYSTEMS AND TECHNIQUES (IST), 2018, : 203 - 208
  • [9] Combined T2w volumetry, DW-MRI and DCE-MRI for response assessment after chemoradiation in rectal cancer
    Intven, M.
    Monninkhof, E. M.
    Reerink, O.
    Philippens, M. E. P.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2015, 115 : S223 - S223
  • [10] Parameterizing the Logistic Model of Tumor Growth by DW-MRI and DCE-MRI Data to Predict Treatment Response and Changes in Breast Cancer Cellularity during Neoadjuvant Chemotherapy
    Atuegwu, Nkiruka C.
    Arlinghaus, Lori R.
    Li, Xia
    Chakravarthy, A. Bapsi
    Abramson, Vandana G.
    Sanders, Melinda E.
    Yankeelov, Thomas E.
    [J]. TRANSLATIONAL ONCOLOGY, 2013, 6 (03): : 256 - 264