Diffusion-weighted magnetic resonance imaging in the prediction and assessment of chemotherapy outcome in liver metastases

被引:14
|
作者
Mungai, Francesco [1 ]
Pasquinelli, Filippo [2 ]
Mazzoni, Lorenzo Nicola [3 ]
Virgili, Gianni [4 ]
Ragozzino, Alfonso [5 ]
Quaia, Emilio [6 ]
Morana, Giovanni [7 ]
Giovagnoni, Andrea [8 ]
Grazioli, Luigi [9 ]
Colagrande, Stefano [1 ,10 ]
机构
[1] Univ Florence, Azienda Osped Univ Careggi, Dept Expt & Clin Biomed Sci, I-50134 Florence, Italy
[2] Osped Santa Maria Nuova, Dept Radiol, Florence, Italy
[3] Azienda Osped Univ Careggi, Hlth Phys Sect, Florence, Italy
[4] Univ Florence, Azienda Osped Univ Careggi, Dept Translat Med & Surg, I-50134 Florence, Italy
[5] Osped SM Grazie, Sect Radiodiagnost, Naples, Italy
[6] Cattinara Hosp, Dept Radiol, Trieste, Italy
[7] Osped Ca Foncello, Dept Diagnost Radiol, Treviso, Italy
[8] Univ Politecn Marche, Dept Radiol, Ancona, Italy
[9] Spedali Civil Brescia, Dept Radiol, I-25125 Brescia, Italy
[10] Univ Florence, Azienda Osped Univ Careggi, Dipartimento Sci Biomed Sperimentali & Clin, I-50134 Florence, Italy
来源
RADIOLOGIA MEDICA | 2014年 / 119卷 / 08期
关键词
Magnetic resonance imaging; Diffusion-weighted imaging; Apparent diffusion coefficient; Chemotherapy; Liver metastasis; PRETREATMENT PREDICTION; TUMOR RESPONSE; BREAST-CANCER; COEFFICIENT; HYPOXIA; MRI;
D O I
10.1007/s11547-013-0379-3
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
This study assessed the capability of magnetic resonance (MR) diffusion-weighted imaging (DwI) with measurement of apparent diffusion coefficient (ADC) in both predicting and evaluating the response to chemotherapy (CHT) of liver metastases by itself and along with preliminary dimensional assessment. Patients affected by liver metastases from cancers of the digestive tract and breast were prospectively enrolled and underwent computed tomography and MR-DwI before CHT (time 0) and 20-25 days after the beginning of the second cycle (time 3). Moreover, MR-DwI was performed 10-15 (time 1) and 20-25 days (time 2) after the beginning of the first cycle. Maximum diameter and mean ADC value (x10(-3) mm(2)/s) of metastases were evaluated. Lesions were classified as progressive disease (PD), stable disease (SD) or partial response (PR) according to dimensional changes between time 0 and time 3, following RECIST 1.1 indications. Clinically, PD lesions were defined as nonresponding (NR), and SD and PR lesions as responding (R). Analysis of variance and ROC analyses were performed (significance at p < 0.05). Eighty-six metastases (33 patients) were classified as follows: 15 PD, 39 SD and 32 PR without significant differences in mean ADC values among the groups before CHT and at all corresponding times. The mean ADC values of SD and PR groups at times 1 (respectively 1.66 +/- A 0.36 and 1.59 +/- A 0.23), 2 (1.72 +/- A 0.42 and 1.68 +/- A 0.37) and 3 (1.86 +/- A 0.44 and 1.73 +/- A 0.39) were significantly higher than the corresponding values at time 0 (1.50 +/- A 0.30 and 1.39 +/- A 0.33). An accurate cutoff value of ADC increase or diameter decrease for the early identification of R or NR lesions was not found. The pretreatment ADC value of a liver metastasis does not seem useful in predicting the CHT outcome. A trend towards early ADC increase, alone or occurring with dimensional decrease, may be a good indicator of a responding lesion.
引用
收藏
页码:625 / 633
页数:9
相关论文
共 50 条
  • [1] Diffusion-weighted magnetic resonance imaging in the prediction and assessment of chemotherapy outcome in liver metastases
    Francesco Mungai
    Filippo Pasquinelli
    Lorenzo Nicola Mazzoni
    Gianni Virgili
    Alfonso Ragozzino
    Emilio Quaia
    Giovanni Morana
    Andrea Giovagnoni
    Luigi Grazioli
    Stefano Colagrande
    La radiologia medica, 2014, 119 : 625 - 633
  • [2] Prognostic value of pretreatment diffusion-weighted magnetic resonance imaging for outcome prediction of colorectal cancer liver metastases undergoing 90Y-microsphere radioembolization
    Schmeel, Frederic Carsten
    Simon, Birgit
    Luetkens, Julian Alexander
    Traeber, Frank
    Meyer, Carsten
    Schmeel, Leonard Christopher
    Sabet, Amir
    Ezziddin, Samer
    Schild, Hans Heinz
    Hadizadeh, Dariusch Reza
    JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2017, 143 (08) : 1531 - 1541
  • [3] Prediction of Early Response to Chemotherapy in Breast Cancer Liver Metastases by Diffusion-Weighted MR Imaging
    Bai, Genji
    Wang, Yating
    Zhu, Yan
    Guo, Lili
    TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2019, 18 : 1 - 8
  • [4] Value of Magnetic Resonance Diffusion-Weighted Imaging for the Prediction of Radiosensitivity in Nasopharyngeal Carcinoma
    Hong, Jinsheng
    Yao, Yiqi
    Zhang, Yu
    Tang, Tianlan
    Zhang, Hao
    Bao, Daoliang
    Chen, Yunbin
    Pan, Jianji
    OTOLARYNGOLOGY-HEAD AND NECK SURGERY, 2013, 149 (05) : 707 - 713
  • [5] Diffusion-weighted magnetic resonance imaging for assessment after neoadjuvant chemotherapy in breast cancer, based on morphological concepts
    Murata, Yoriko
    Kubota, Kei
    Hamada, Norihiko
    Miyatake, Kana
    Tadokoro, Michiko
    Nakatani, Kimiko
    Ue, Hironobu
    Tsuzuki, Kazuhiro
    Nishioka, Akihito
    Iguchi, Mitsuko
    Maeda, Hironobu
    Ogawa, Yasuhiro
    ONCOLOGY LETTERS, 2010, 1 (02) : 293 - 298
  • [6] Role of diffusion-weighted imaging in response prediction and evaluation after high dose rate brachytherapy in patients with colorectal liver metastases
    Karim, Salma
    Seidensticker, Ricarda
    Seidensticker, Max
    Ricke, Jens
    Schinner, Regina
    Treitl, Karla
    Ruebenthaler, Johannes
    Ingenerf, Maria
    Schmid-Tannwald, Christine
    RADIOLOGY AND ONCOLOGY, 2024, 58 (01) : 33 - 42
  • [7] Prognostic value of pretreatment diffusion-weighted magnetic resonance imaging for outcome prediction of colorectal cancer liver metastases undergoing 90Y-microsphere radioembolization
    Frederic Carsten Schmeel
    Birgit Simon
    Julian Alexander Luetkens
    Frank Träber
    Carsten Meyer
    Leonard Christopher Schmeel
    Amir Sabet
    Samer Ezziddin
    Hans Heinz Schild
    Dariusch Reza Hadizadeh
    Journal of Cancer Research and Clinical Oncology, 2017, 143 : 1531 - 1541
  • [8] Prognostic prediction of resectable colorectal liver metastasis using the apparent diffusion coefficient from diffusion-weighted magnetic resonance imaging
    Yoshikawa, Masato
    Morine, Yuji
    Yamada, Shinichiro
    Miyazaki, Katsuki
    Tokuda, Kazunori
    Saito, Yu
    Arakawa, Yusuke
    Ikemoto, Tetsuya
    Imura, Satoru
    Shimada, Mitsuo
    ANNALS OF GASTROENTEROLOGICAL SURGERY, 2021, 5 (02): : 252 - 258
  • [9] Early Assessment of Induction Chemotherapy Response of Nasopharyngeal Carcinoma by Pretreatment Diffusion-Weighted Magnetic Resonance Imaging
    Zheng, Dechun
    Chen, Yunbin
    Chen, Ying
    Xu, Luying
    Lin, Fengjie
    Lin, Jin
    Huang, Chaobin
    Pan, Jianji
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2013, 37 (05) : 673 - 680
  • [10] Diffusion-weighted Magnetic Resonance Imaging for the Staging of Liver Fibrosis
    Bonekamp, Susanne
    Torbenson, Michael S.
    Kamel, Ihab R.
    JOURNAL OF CLINICAL GASTROENTEROLOGY, 2011, 45 (10) : 885 - 892