High-Resolution Diffusion-Weighted Imaging for Monitoring Breast Cancer Treatment Response

被引:50
|
作者
Wilmes, Lisa J. [1 ]
McLaughlin, Rebekah L. [1 ]
Newitt, David C. [1 ]
Singer, Lisa [1 ]
Sinha, Sumedha P. [1 ]
Proctor, Evelyn [1 ]
Wisner, Dorota J. [1 ]
Saritas, Emine U. [3 ]
Kornak, John [2 ]
Shankaranarayanan, Ajit [4 ]
Banerjee, Suchandrima [4 ]
Jones, Ella F. [1 ]
Joe, Bonnie N. [1 ]
Hylton, Nola M. [1 ]
机构
[1] Univ Calif San Francisco, Dept Radiol & Biomed Imaging, San Francisco, CA 94115 USA
[2] Univ Calif San Francisco, Dept Epidemiol & Biostat, San Francisco, CA 94115 USA
[3] Univ Calif Berkeley, Dept Bioengn, Berkeley, CA 94720 USA
[4] GE Healthcare, Appl Sci Lab, Menlo Pk, CA USA
基金
美国国家卫生研究院;
关键词
Diffusion-weighted magnetic resonance imaging; DWI; breast cancer; treatment response; apparent diffusion coefficient; ADC; NEOADJUVANT CHEMOTHERAPY; SPINAL-CORD; PRETREATMENT PREDICTION; MRI; SPECTROSCOPY;
D O I
10.1016/j.acra.2013.01.009
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
Rationale and Objectives: The aim of this work was to compare a high-resolution diffusion-weighted imaging (HR-DWI) acquisition (voxel size = 4.8 mm(3)) to a standard diffusion-weighted imaging (STD-DWI) acquisition (voxel size = 29.3 mm(3)) for monitoring neoadjuvant therapy-induced changes in breast tumors. Materials and Methods: Nine women with locally advanced breast cancer were imaged with both HR-DWI and STD-DWI before and after 3 weeks (early treatment) of neoadjuvant taxane-based treatment. Tumor apparent diffusion coefficient (ADC) metrics (mean and histogram percentiles) from both DWI methods were calculated, and their relationship to tumor volume change after 12 weeks of treatment (posttreatment) measured by dynamic contrast enhanced magnetic resonance imaging was evaluated with a Spearman's rank correlation. Results: The HR-DWI pretreatment 15th percentile tumor ADC (P = .03) and early treatment 15th, 25th, and 50th percentile tumor ADCs (P = .008, .010, .04, respectively) were significantly lower than the corresponding STD-DWI percentile ADCs. The mean tumor HR-ADC was significantly lower than STD-ADC at the early treatment time point (P = .02), but not at the pretreatment time point (P = .07). A significant early treatment increase in tumor ADC was found with both methods (P < .05). Correlations between HR-DWI tumor ADC and posttreatment tumor volume change were higher than the STD-DWI correlations at both time points and the lower percentile ADCs had the strongest correlations. Conclusion: These initial results suggest that the HR-DWI technique has potential for improving characterization of low tumor ADC values over STD-DWI and that HR-DWI may be of value in evaluating tumor change with treatment.
引用
收藏
页码:581 / 589
页数:9
相关论文
共 50 条
  • [21] Navigated diffusion-weighted imaging with interpolated phase-correction for high-resolution imaging of stroke
    J. Bernarding
    E. Gedat
    H. C. Koennecke
    J. Braun
    Neuroradiology, 2003, 45 : 767 - 772
  • [22] Preclinical Comparison of H-scan Ultrasound and Diffusion-Weighted Magnetic Resonance Imaging for Monitoring Treatment Response in Breast Cancer
    Tai, Haowei
    Margolis, Ryan
    Li, Junjie
    Hoyt, Kenneth
    2022 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS), 2022,
  • [23] Diffusion-weighted imaging reflects pathological therapeutic response and relapse in breast cancer
    Fujimoto, Hiroshi
    Kazama, Toshiki
    Nagashima, Takeshi
    Sakakibara, Masahiro
    Suzuki, Tiberiu Hiroshi
    Okubo, Yoshiyuki
    Shiina, Nobumitsu
    Fujisaki, Kaoru
    Ota, Satoshi
    Miyazaki, Masaru
    BREAST CANCER, 2014, 21 (06) : 724 - 731
  • [24] Characterization of tumor and adjacent peritumoral stroma in patients with breast cancer using high-resolution diffusion-weighted imaging: Correlation with pathologic biomarkers
    Shin, Hee Jung
    Park, Jin Young
    Shin, Ki Chang
    Kim, Hak Hee
    Cha, Joo Hee
    Chae, Eun Young
    Choi, Woo Jung
    EUROPEAN JOURNAL OF RADIOLOGY, 2016, 85 (05) : 1004 - 1011
  • [25] Diffusion-weighted imaging reflects pathological therapeutic response and relapse in breast cancer
    Hiroshi Fujimoto
    Toshiki Kazama
    Takeshi Nagashima
    Masahiro Sakakibara
    Tiberiu Hiroshi Suzuki
    Yoshiyuki Okubo
    Nobumitsu Shiina
    Kaoru Fujisaki
    Satoshi Ota
    Masaru Miyazaki
    Breast Cancer, 2014, 21 : 724 - 731
  • [26] Optimizing Image Quality with High-Resolution, Deep-Learning-Based Diffusion-Weighted Imaging in Breast Cancer Patients at 1.5 T
    Olthof, Susann-Cathrin
    Weiland, Elisabeth
    Benkert, Thomas
    Wessling, Daniel
    Leyhr, Daniel
    Afat, Saif
    Nikolaou, Konstantin
    Preibsch, Heike
    DIAGNOSTICS, 2024, 14 (16)
  • [27] Validity of Negative High-Resolution Diffusion-Weighted Imaging in Transient Acute Cerebrovascular Events
    Hotter, Benjamin
    Kufner, Anna
    Malzahn, Uwe
    Hohenhaus, Marc
    Jungehuelsing, Gerhard J.
    Fiebach, Jochen B.
    STROKE, 2013, 44 (09) : 2598 - 2600
  • [28] High-resolution diffusion-weighted imaging of the breast with multiband 2D radiofrequency pulses and a generalized parallel imaging reconstruction
    Taviani, Valentina
    Alley, Marcus T.
    Banerjee, Suchandrima
    Nishimura, Dwight G.
    Daniel, Bruce L.
    Vasanawala, Shreyas S.
    Hargreaves, Brian A.
    MAGNETIC RESONANCE IN MEDICINE, 2017, 77 (01) : 209 - 220
  • [29] High-resolution diffusion-weighted imaging with interleaved variable-density spiral acquisitions
    Li, TQ
    Kim, DH
    Moseley, ME
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2005, 21 (04) : 468 - 475
  • [30] A Comparison of Methods for High-Spatial-Resolution on Diffusion-weighted Imaging in Breast MRI
    McKay, Jessica A.
    Church, An L.
    Rubin, Nathan
    Emory, Tim H.
    Hoven, Noelle F.
    Kuehn-Hajder, Jessica E.
    Nelson, Michael T.
    Ramanna, Sudhir
    Auerbach, Edward J.
    Moeller, Steen
    Bolan, Patrick J.
    RADIOLOGY, 2020, 297 (02) : 304 - 312