Quantitative Assessment of Tumor Responses after Radiation Therapy in a DLD-1 Colon Cancer Mouse Model Using Serial Dynamic Contrast-Enhanced Magnetic Resonance Imaging

被引:6
|
作者
Ahn, Sung Jun [1 ,2 ]
Koom, Woong Sub [3 ]
An, Chan Sik [1 ,2 ]
Lim, Joon Seok [1 ,2 ]
Lee, Seung-Koo [1 ,2 ]
Suh, Jin-Suck [1 ,2 ]
Song, Ho-Taek [1 ,2 ]
机构
[1] Yonsei Univ, Coll Med, Dept Radiol, Seoul 120752, South Korea
[2] Yonsei Univ, Coll Med, Res Inst Radiol Sci, Seoul 120752, South Korea
[3] Yonsei Univ, Coll Med, Dept Radiat Oncol, Seoul 120752, South Korea
关键词
Colorectal cancer; radiation therapy; magnetic resonance imaging; permeability; angiogenesis; ADVANCED BREAST-CANCER; RECTAL-CANCER; NEOADJUVANT CHEMOTHERAPY; COLORECTAL-CANCER; MRI; PARAMETERS; CARCINOMA; ANGIOGENESIS; RADIOTHERAPY; MICROCIRCULATION;
D O I
10.3349/ymj.2012.53.6.1147
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Purpose: The purpose of this study was to investigate the predictability of pretreatment values including Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) derived parameters (K-trans, K-ep and V-e), early changes in parameters (K-trans, tumor volume), and heterogeneity (standard deviation of K-trans) for radiation therapy responses via a human colorectal cancer xenograft model. Materials and Methods: A human colorectal cancer xenograft model with DLD-1 cancer cells was produced in the right hind limbs of five mice. Tumors were irradiated with 3 fractions of 3 Gy each for 3 weeks. Baseline and follow up DCE-MRI were performed. Quantitative parameters (K-trans, K-ep and V-e) were calculated based on the Tofts model. Early changes in K-trans, standard deviation (SD) of K-trans, and tumor volume were also calculated. Tumor responses were evaluated based on histology. With a cut-off value of 0.4 for necrotic factor, a comparison between good and poor responses was conducted. Results: The good response group (mice #1 and 2) exhibited higher pretreatment K-trans than the poor response group (mice #3, 4, and 5). The good response group tended to show lower pretreatment K-ep, higher pretreatment V-e, and larger baseline tumor volume than the poor response group. All the mice in the good response group demonstrated marked reductions in K-trans and SD value after the first radiation. All tumors showed increased volume after the first radiation therapy. Conclusion: The good response after radiation therapy group in the DLD-1 colon cancer xenograft nude mouse model exhibited a higher pretreatment K-trans and showed an early reduction in K-trans, demonstrating a more homogenous distribution.
引用
收藏
页码:1147 / 1153
页数:7
相关论文
共 50 条
  • [31] Monitoring Response to Primary Chemotherapy in Breast Cancer using Dynamic Contrast-enhanced Magnetic Resonance Imaging
    Laura Martincich
    Filippo Montemurro
    Giovanni De Rosa
    Vincenzo Marra
    Riccardo Ponzone
    Stefano Cirillo
    Marco Gatti
    Nicoletta Biglia
    Ivana Sarotto
    Piero Sismondi
    Daniele Regge
    Massimo Aglietta
    Breast Cancer Research and Treatment, 2004, 83 : 67 - 76
  • [32] Orbital benign and malignant lymphoproliferative disorders: Differentiation using semi-quantitative and quantitative analysis of dynamic contrast-enhanced magnetic resonance imaging
    Hu, Hao
    Xu, Xiao-Quan
    Liu, Hu
    Hong, Xun-Ning
    Shi, Hai-Bin
    Wu, Fei-Yun
    EUROPEAN JOURNAL OF RADIOLOGY, 2017, 88 : 88 - 94
  • [33] Automatic removal of large blood vasculature for objective assessment of brain tumors using quantitative dynamic contrast-enhanced magnetic resonance imaging
    Kesari, Anshika
    Yadav, Virendra Kumar
    Gupta, Rakesh Kumar
    Singh, Anup
    NMR IN BIOMEDICINE, 2024, 37 (11)
  • [34] Effect of tamoxifen in an experimental model of breast tumor studied by dynamic contrast-enhanced magnetic resonance imaging and different contrast agents
    Marzola, P
    Ramponi, S
    Nicolato, E
    Lovati, E
    Sandri, M
    Calderan, L
    Crescimanno, C
    Merigo, F
    Sbarbati, A
    Grotti, A
    Vultaggio, S
    Cavagna, F
    Lorusso, V
    Osculati, F
    INVESTIGATIVE RADIOLOGY, 2005, 40 (07) : 421 - 429
  • [35] Dynamic contrast-enhanced magnetic resonance imaging in locally advanced rectal cancer: role of perfusion parameters in the assessment of response to treatment
    Ciolina, Maria
    Caruso, Damiano
    De Santis, Domenico
    Zerunian, Marta
    Rengo, Marco
    Alfieri, Norma
    Musio, Daniela
    De Felice, Francesca
    Ciardi, Antonio
    Tombolini, Vincenzo
    Laghi, Andrea
    RADIOLOGIA MEDICA, 2019, 124 (05): : 331 - 338
  • [36] Monitoring response to primary chemotherapy in breast cancer using dynamic contrast-enhanced magnetic resonance imaging
    Martincich, L
    Montemurro, F
    De Rosa, G
    Marra, V
    Ponzone, R
    Cirillo, S
    Gatti, M
    Biglia, N
    Sarotto, I
    Sismondi, P
    Regge, D
    Aglietta, M
    BREAST CANCER RESEARCH AND TREATMENT, 2004, 83 (01) : 67 - 76
  • [37] Quantitative Assessment of Tumor Blood Flow Changes in a Murine Breast Cancer Model After Adriamycin Chemotherapy Using Contrast-Enhanced Destruction-Replenishment Sonography
    Wang, Jian-Wei
    Zheng, Wei
    Chen, Yao
    Cao, Long-Hui
    Luo, Rong-Zhen
    Li, An-Hua
    Zhou, Jian-Hua
    JOURNAL OF ULTRASOUND IN MEDICINE, 2013, 32 (04) : 683 - 690
  • [38] Assessment of Liver Fibrosis Using Pharmacokinetic Parameters of Dynamic Contrast-enhanced Magnetic Resonance Imaging
    Li, Zhiming
    Sun, Jihong
    Chen, Lumin
    Huang, Ning
    Hu, Peng
    Hu, Xi
    Han, Guocan
    Zhou, Yurong
    Bai, Weixian
    Niu, Tianye
    Yang, Xiaoming
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2016, 44 (01) : 98 - 104
  • [39] Glioma grading using an optimized T1-weighted dynamic contrast-enhanced magnetic resonance imaging paradigm
    Abdi, Aza Ismail
    EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE, 2024, 55 (01)
  • [40] Evaluation of Tumor Angiogenesis in a Mouse PC-3 Prostate Cancer Model Using Dynamic Contrast-Enhanced Sonography
    Lee, Hak Jong
    Hwang, Sung Il
    Chung, Jin-Haeng
    Jeon, Jong June
    Choi, Jeong Hye
    Jung, Hyun Sook
    JOURNAL OF ULTRASOUND IN MEDICINE, 2012, 31 (08) : 1223 - 1231