Dynamic Diffuse Optical Tomography for Monitoring Neoadjuvant Chemotherapy in Patients with Breast Cancer

被引:32
|
作者
Gunther, Jacqueline E. [1 ]
Lim, Emerson A. [3 ]
Kim, Hyun K. [4 ]
Flexman, Molly [1 ]
Altoe, Mirella [1 ]
Campbell, Jessica A. [3 ]
Hibshoosh, Hanina [5 ]
Crew, Katherine D. [3 ,6 ]
Kalinsky, Kevin [3 ]
Hershman, Dawn L. [3 ,6 ]
Hielscher, Andreas H. [1 ,2 ,4 ]
机构
[1] Columbia Univ, Dept Biomed Engn, 500 W 120th St,Mudd Bldg,ET351,MC 8904, New York, NY 10027 USA
[2] Columbia Univ, Dept Elect Engn, 500 W 120th St,Mudd Bldg,ET351,MC 8904, New York, NY 10027 USA
[3] Columbia Univ, Med Ctr, Dept Med, Div Hematol Oncol, New York, NY USA
[4] Columbia Univ, Med Ctr, Dept Radiol, New York, NY 10027 USA
[5] Columbia Univ, Med Ctr, Dept Pathol & Cell Biol, New York, NY USA
[6] Columbia Univ, Med Ctr, Dept Epidemiol, New York, NY USA
基金
美国国家科学基金会; 加拿大自然科学与工程研究理事会; 美国国家卫生研究院;
关键词
PATHOLOGICAL COMPLETE RESPONSE; INTERSTITIAL FLUID PRESSURE; TUMOR RESPONSE; ULTRASOUND LOCALIZATION; CLINICAL-IMPLICATIONS; SOLID TUMORS; SPECTROSCOPY; WOMEN; DIAGNOSIS; SURVIVAL;
D O I
10.1148/radiol.2018161041
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
Purpose: To identify dynamic optical imaging features that associate with the degree of pathologic response in patients with breast cancer during neoadjuvant chemotherapy (NAC). Materials and Methods: Of 40 patients with breast cancer who participated in a longitudinal study between June 2011 and March 2016, 34 completed the study. There were 13 patients who obtained a pathologic complete response (pCR) and 21 patients who did not obtain a pCR. Imaging data from six subjects were excluded from the study because either the patients dropped out of the study before it was finished or there was an instrumentation malfunction. Two weeks into the treatment regimen, three-dimensional images of both breasts during a breath hold were acquired by using dynamic diffuse optical tomography. Features from the breath-hold traces were used to distinguish between response groups. Receiver operating characteristic (ROC) curves and sensitivity analysis were used to determine the degree of association with 5-month treatment outcome. Results: An ROC curve analysis showed that this method could identify patients with a pCR with a positive predictive value of 70.6% (12 of 17), a negative predictive value of 94.1% (16 of 17), a sensitivity of 92.3% (12 of 13), a specificity of 76.2% (16 of 21), and an area under the ROC curve of 0.85. Conclusion: Several dynamic optical imaging features obtained within 2 weeks of NAC initiation were identified that showed statistically significant differences between patients with pCR and patients without pCR as determined 5 months after treatment initiation. If confirmed in a larger cohort prospective study, these dynamic imaging features may be used to predict treatment outcome as early as 2 weeks after treatment initiation. (C) RSNA, 2018.
引用
收藏
页码:778 / 786
页数:9
相关论文
共 50 条
  • [31] Ultrasound and diffuse optical tomography-transformer model for assessing pathological complete response to neoadjuvant chemotherapy in breast cancer
    Zou, Yun
    Xue, Minghao
    Hossain, Md Iqbal
    Zhu, Quing
    [J]. JOURNAL OF BIOMEDICAL OPTICS, 2024, 29 (07)
  • [32] Predicting Breast Tumor Response to Neoadjuvant Chemotherapy with Diffuse Optical Spectroscopic Tomography prior to Treatment
    Jiang, Shudong
    Pogue, Brian W.
    Kaufman, Peter A.
    Gui, Jiang
    Jermyn, Michael
    Frazee, Tracy E.
    Poplack, Steven P.
    DiFlorio-Alexander, Roberta
    Wells, Wendy A.
    Paulsen, Keith D.
    [J]. CLINICAL CANCER RESEARCH, 2014, 20 (23) : 6006 - 6015
  • [33] Early Optical Tomography Changes Predict Breast Cancer Response to Neoadjuvant Chemotherapy
    Lim, E. A.
    Gunther, J. E.
    Flexman, M.
    Kim, H. K.
    Hibshoosh, H.
    Kalinsky, K.
    Crew, K.
    Maurer, M.
    Taback, B.
    Feldman, S.
    Brown, M.
    Refice, S.
    Alvarez-Cid, M.
    Hielscher, A.
    Hershman, D. L.
    [J]. CANCER RESEARCH, 2012, 72
  • [34] ACRIN 6691 Monitoring and Predicting Breast Cancer Neoadjuvant Chemotherapy Response Using Diffuse Optical Spectroscopic Imaging (DOSI).
    Tromberg, B. J.
    L'Heureux, D. Z.
    Mankoff, D. A.
    Zhang, Z.
    Cerussi, A.
    Mehta, R.
    Carpenter, P. M.
    Butler, J. A.
    Hylton, N. M.
    Kaufman, P.
    Pogue, B. W.
    Paulsen, K.
    Yodh, A. G.
    Boas, D.
    Isakoff, S.
    [J]. CANCER RESEARCH, 2011, 71
  • [35] ACRIN 6691 monitoring and predicting breast cancer neoadjuvant chemotherapy response using diffuse optical spectroscopic imaging (DOSI)
    Tromberg, B. J.
    Butler, J. A.
    Mankoff, D. A.
    Isakoff, S. J.
    Hylton, N. M.
    Yodh, A. G.
    Boas, D.
    Paulsen, K.
    Pogue, B. W.
    Kaufman, P. A.
    Mehta, R. S.
    Carpenter, P. M.
    Cerussi, A.
    Zhang, Z.
    Hartfeil, D. M.
    L'Heureux, D.
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2011, 29 (15)
  • [36] Neoadjuvant chemotherapy with MRI monitoring for breast cancer
    Dave, R. V.
    Millican-Slater, R.
    Dodwell, D.
    Horgan, K.
    Sharma, N.
    [J]. BRITISH JOURNAL OF SURGERY, 2017, 104 (09) : 1177 - 1187
  • [37] Near-infrared diffuse optical imaging for early prediction to neoadjuvant chemotherapy in patients with primary breast cancer
    Ogura, H.
    Yoshizawa, N.
    Ueda, S.
    Hosokawa, Y.
    Matsunuma, R.
    Tochikubo, J.
    Nasu, H.
    Shigekawa, T.
    Takeuchi, H.
    Osaki, A.
    Saeki, T.
    Yoshimoto, K.
    Ohmae, E.
    Suzuki, T.
    Ueda, Y.
    Yamashita, Y.
    Sakahara, H.
    [J]. CANCER RESEARCH, 2016, 76
  • [38] Early changes in diffuse optical tomography predicts pathologic complete response to neoadjuvant chemotherapy in triple-negative breast cancer
    Altoe, Mirella L.
    Kalinsky, Kevin
    Guo, Hua
    Hibshoosh, Hanina
    Tejada, Mariella
    Crew, Katherine D.
    Accordino, Melissa K.
    Trivedi, Meghna S.
    Marone, Alessandro
    Kim, Hyun K.
    Hielscher, Andreas H.
    Hershman, Dawn L.
    [J]. CANCER RESEARCH, 2020, 80 (04)
  • [39] Diffuse optical tomography can predict pathologic complete response in patients with HER2+or triple negative breast cancer undergoing neoadjuvant chemotherapy
    Kalinsky, K.
    Lee, S.
    Zhong, X.
    Lim, E. A.
    Gunther, J. E.
    Hibshoosh, H.
    Kim, H. K.
    Accordino, M.
    Crew, K.
    Hielscher, A.
    Hershman, D. L.
    [J]. CANCER RESEARCH, 2017, 77
  • [40] Effects of neoadjuvant chemotherapy on the contralateral non-tumor-bearing breast assessed by diffuse optical tomography
    Mirella L. Altoe
    Kevin Kalinsky
    Alessandro Marone
    Hyun K. Kim
    Hua Guo
    Hanina Hibshoosh
    Mariella Tejada
    Katherine D. Crew
    Melissa K. Accordino
    Meghna S. Trivedi
    Dawn L. Hershman
    Andreas H. Hielscher
    [J]. Breast Cancer Research, 23