Diffusion-weighted magnetic resonance imaging for predicting the response of rectal cancer to neoadjuvant concurrent chemoradiation

被引:39
|
作者
Cai, Gang [1 ,2 ]
Xu, Ye [2 ,3 ]
Zhu, Ji [1 ,2 ]
Gu, Wei-Lie [2 ,3 ]
Zhang, Shuai [2 ,4 ]
Ma, Xue-Jun [1 ,2 ]
Cai, San-Jun [2 ,3 ]
Zhang, Zhen [1 ,2 ]
机构
[1] Fudan Univ, Shanghai Canc Ctr, Dept Radiat Oncol, Shanghai 200032, Peoples R China
[2] Fudan Univ, Shanghai Med Coll, Dept Oncol, Shanghai 200032, Peoples R China
[3] Fudan Univ, Shanghai Canc Ctr, Dept Colorectal Surg, Shanghai 200032, Peoples R China
[4] Fudan Univ, Shanghai Canc Cente, Dept Radiol, Shanghai 200032, Peoples R China
关键词
Locally advanced rectal cancer; Neoadjuvant chemoradiation; Diffusion-weighted magnetic resonance imaging; Apparent diffusion coefficient; RADIATION-THERAPY; PREOPERATIVE CHEMORADIOTHERAPY; PROSTATE-CANCER; TUMOR RESPONSE; BRAIN-TUMORS; MRI; CHEMOTHERAPY; RADIOTHERAPY; COEFFICIENT; CARCINOMA;
D O I
10.3748/wjg.v19.i33.5520
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
AIM: To evaluate the clinical value of diffusion-weighted magnetic resonance imaging (DW-MRI) in predicting the response of rectal cancer to neoadjuvant chemoradiation. METHODS: This prospective study was approved by our institutional review board, and informed consent was obtained from each patient. Fifteen patients (median age 56 years) with locally advanced rectal cancer were treated in our hospital from June 2006 to December 2007. All patients were stage. B-C according to the results of MRI and endorectal ultrasound examinations. All patients underwent pelvic irradiation with 45 Gy/25 fx per 35 days. The concurrent chemotherapy regimen consisted of capecitabine 625 mg/m(2), bid (Monday-Friday), and oxaliplatin 50 mg/m(2), weekly. The patients underwent surgery 5-8 wk after the completion of neoadjuvant therapy. T downstaging was defined as the downstaging of the tumor from cT3 to ypT0-2 or from cT4 to ypT0-3. Good regression was defined as TRG 3-4, and poor regression was defined as TRG 0-2. Diffusion-weighted magnetic resonance images were obtained prior to and weekly during the course of neoadjuvant chemoradiation, and the apparent diffusion coefficient (ADC) values were calculated from the acquired tumor images. RESULTS: Comparison with the mean pretreatment tumor ADC revealed an increase in the mean tumor ADC during the course of neoadjuvant chemoradiation, especially at the 2nd week (P = 0.004). We found a strong negative correlation between the mean pretreatment tumor ADC and tumor regression after neoadjuvant chemoradiation (P = 0.021). In the T downstage and tumor regression groups, we found a significant increase in the mean ADC at the 2nd week of neoadjuvant therapy (P = 0.011; 0.004). CONCLUSION: DW-MRI might be a valuable clinical tool to help predict or assess the response of rectal cancer to neoadjuvant chemoradiation at an early time-point. (C) 2013 Baishideng. All rights reserved.
引用
收藏
页码:5520 / 5527
页数:8
相关论文
共 50 条
  • [1] Diffusion-weighted magnetic resonance imaging for predicting the response of rectal cancer to neoadjuvant concurrent chemoradiation
    Gang Cai
    Ye Xu
    Ji Zhu
    Wei-Lie Gu
    Shuai Zhang
    Xue-Jun Ma
    San-Jun Cai
    Zhen Zhang
    [J]. World Journal of Gastroenterology, 2013, 19 (33) : 5520 - 5527
  • [2] Diffusion-Weighted Magnetic Resonance Imaging in Monitoring Rectal Cancer Response to Neoadjuvant Chemoradiotherapy
    Barbaro, Brunella
    Vitale, Renata
    Valentini, Vincenzo
    Illuminati, Sonia
    Vecchio, Fabio M.
    Rizzo, Gianluca
    Gambacorta, Maria Antonietta
    Coco, Claudio
    Crucitti, Antonio
    Persiani, Roberto
    Sofo, Luigi
    Bonomo, Lorenzo
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2012, 83 (02): : 594 - 599
  • [3] Quantitative aspects of diffusion-weighted magnetic resonance imaging in rectal cancer response to neoadjuvant therapy
    Bassaneze, Thiago
    Goncalves, Jose Eduardo
    Faria, Juliano Ferreira
    Palma, Rogerio Tadeu
    Waisberg, Jaques
    [J]. RADIOLOGY AND ONCOLOGY, 2017, 51 (03) : 270 - 276
  • [4] Predicting response to neoadjuvant chemoradiation therapy in locally advanced rectal cancer: Diffusion-weighted 3 tesla MR imaging
    Jung, Se Hee
    Heo, Suk Hee
    Kim, Jin Woong
    Jeong, Yong Yeon
    Shin, Sang Soo
    Soung, Min-Gyu
    Kim, Heong Rok
    Kang, Heoung Keun
    [J]. JOURNAL OF MAGNETIC RESONANCE IMAGING, 2012, 35 (01) : 110 - 116
  • [5] Diffusion-weighted magnetic resonance imaging in the early detection of response to chemoradiation in cervical cancer
    Harry, Vanessa N.
    Semple, Scott I.
    Gilbert, Fiona J.
    Parkin, David E.
    [J]. GYNECOLOGIC ONCOLOGY, 2008, 111 (02) : 213 - 220
  • [6] Diffusion-Weighted Magnetic Resonance Imaging for Prediction of Response of Advanced Cervical Cancer to Chemoradiation
    Zhang, Yun
    Chen, Jian-Yu
    Xie, Chuan-Miao
    Mo, Yun-Xian
    Liu, Xue-Wen
    Liu, Yi
    Wu, Pei-Hong
    [J]. JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2011, 35 (01) : 102 - 107
  • [7] Diffusion-weighted magnetic resonance imaging in locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy
    De Felice, F.
    Magnante, A. L.
    Musio, D.
    Ciolina, M.
    De Cecco, C. N.
    Rengo, M.
    Laghi, A.
    Tombolini, V.
    [J]. EJSO, 2017, 43 (07): : 1324 - 1329
  • [8] THE VALUE OF DIFFUSION-WEIGHTED MAGNETIC RESONANCE IMAGING IN THE PREDICTION AND EARLY EVALUATION OF RESPONSE TO NEOADJUVANT TREATMENT IN RECTAL CANCER.
    Lambrecht, M.
    Vandecaveye, V.
    De Keyzer, F.
    Roels, S.
    Roebben, I.
    Claus, F.
    Penninckx, F.
    Haustermans, K.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2010, 96 : S444 - S444
  • [9] Perfusion effects in diffusion-weighted magnetic resonance imaging of rectal cancer
    Nordenstam, J.
    Rothenberger, D.
    Madoff, R.
    Wikstrom, J.
    Jessurun, J.
    Garwood, M.
    Mellgren, A.
    [J]. DISEASES OF THE COLON & RECTUM, 2008, 51 (05) : 745 - 745
  • [10] Diffusion-weighted magnetic resonance imaging for predicting pathologic response to neoadjuvant chemoradiotherapy in esophageal squamous cell cancer.
    Hao, Daxuan
    Yang, Yuanyuan
    Li, Xue
    Wu, Xiaoyuan
    Chen, Yongshun
    Wang, Jianhua
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2017, 35