Predicting response to breast cancer neoadjuvant chemotherapy using diffuse optical spectroscopy

被引:222
|
作者
Cerussi, Albert
Hsiang, David
Shah, Natasha
Mehta, Rita
Durkin, Amanda
Butler, John
Tromberg, Bruce J.
机构
[1] Univ Calif Irvine, Laser Med & Microbeam Program, Beckman Laser Inst, Irvine, CA 92612 USA
[2] Univ Calif Irvine, Laser Med & Microbeam Program, Med Clin, Irvine, CA 92612 USA
[3] Univ Calif Irvine, Med Ctr, Chao Comprehens Canc Ctr, Div Oncol Surg, Orange, CA 92868 USA
关键词
diffuse optical imaging; frequency-domain photon migration; near-infrared; tissue spectroscopy; translational research;
D O I
10.1073/pnas.0611058104
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Diffuse optical spectroscopy (DOS) and imaging are emerging diagnostic techniques that quantitatively measure the concentration of deoxy-hemoglobin (ctHHb), oxy-hemoglobin (ctO(2)Hb), water (ctH(2)O), and lipid in cm-thick tissues. In early-stage clinical studies, diffuse optical imaging and DOS have been used to characterize breast tumor biochemical composition and monitor therapeutic response in stage II/III neoadjuvant chemotherapy patients. We investigated whether DOS measurements obtained before and 1 week into a 3-month adriamycin/cytoxan neoadjuvant chemotherapy regimen can predict final, postsurgical pathological response. Baseline DOS measurements of 11 patients before therapy revealed significant increases in tumor ctHHb, CtO(2)Hb, ctH(2)O, and spectral scattering slope, and decreases in bulk lipids, relative to normal breast tissue. Tumor concentrations of ctHHb, CtO(2)Hb, and ctH(2)O dropped 27 +/- 15%, 33 +/- 7%, and 11 +/- 15%, respectively, within 1 week (6.5 +/- 1.4 days) of the first treatment for pathology-confirmed responders (n = 6), whereas nonresponders (n = 5) and normal side controls showed no significant changes in these parameters. The best single predictor of therapeutic response 1 week posttreatment was ctHHb (83% sensitivity, 100% specificity), while discrimination analysis based on combined ctHHb and ctH(2)O changes classified responders vs. nonresponders with 100% sensitivity and specificity. In addition, the pretreatment tumor-to-normal ctO(2)Hb ratio was significantly higher in responders (2.82 +/- 0.44) vs. nonresponders (1.82 +/- 0.49). These results highlight DOS sensitivity to tumor cellular metabolism and biochemical composition and demonstrate its potential for predicting and monitoring an individual's response to treatment.
引用
收藏
页码:4014 / 4019
页数:6
相关论文
共 50 条
  • [1] Prediction of neoadjuvant chemotherapy response using diffuse optical spectroscopy in breast cancer
    Ying-hua Yu
    Xiao Zhu
    Qin-guo Mo
    Ying Cui
    [J]. Clinical and Translational Oncology, 2018, 20 : 524 - 533
  • [2] Prediction of neoadjuvant chemotherapy response using diffuse optical spectroscopy in breast cancer
    Yu, Ying-hua
    Zhu, Xiao
    Mo, Qin-guo
    Cui, Ying
    [J]. CLINICAL & TRANSLATIONAL ONCOLOGY, 2018, 20 (04): : 524 - 533
  • [3] Predicting breast cancer response to neoadjuvant chemotherapy using pretreatment diffuse optical spectroscopic texture analysis
    Tran, William T.
    Gangeh, Mehrdad J.
    Sannachi, Lakshmanan
    Chin, Lee
    Watkins, Elyse
    Bruni, Silvio G.
    Rastegar, Rashin Fallah
    Curpen, Belinda
    Trudeau, Maureen
    Gandhi, Sonal
    Yaffe, Martin
    Slodkowska, Elzbieta
    Childs, Charmaine
    Sadeghi-Naini, Ali
    Czarnota, Gregory J.
    [J]. BRITISH JOURNAL OF CANCER, 2017, 116 (10) : 1329 - 1339
  • [4] Predicting breast cancer response to neoadjuvant chemotherapy using pretreatment diffuse optical spectroscopic texture analysis
    William T Tran
    Mehrdad J Gangeh
    Lakshmanan Sannachi
    Lee Chin
    Elyse Watkins
    Silvio G Bruni
    Rashin Fallah Rastegar
    Belinda Curpen
    Maureen Trudeau
    Sonal Gandhi
    Martin Yaffe
    Elzbieta Slodkowska
    Charmaine Childs
    Ali Sadeghi-Naini
    Gregory J Czarnota
    [J]. British Journal of Cancer, 2017, 116 : 1329 - 1339
  • [5] Predicting Treatment Response of Breast Cancer to Neoadjuvant Chemotherapy Using Ultrasound-Guided Diffuse Optical Tomography
    Zhi, Wenxiang
    Liu, Guangyu
    Chang, Cai
    Miao, Aiyu
    Zhu, Xiaoli
    Xie, Li
    Zhou, Jin
    [J]. TRANSLATIONAL ONCOLOGY, 2018, 11 (01): : 56 - 64
  • [6] Functional imaging of neoadjuvant chemotherapy response in women with locally advanced breast cancer using diffuse optical spectroscopy
    Soliman, H.
    Gunasekara, A.
    Rycroft, M.
    Zubovits, J.
    Dent, R.
    Spayne, J.
    Jong, R.
    Yaffe, M.
    Czarnota, G.
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2009, 27 (15)
  • [7] Functional Imaging Using Diffuse Optical Spectroscopy of Neoadjuvant Chemotherapy Response in Women with Locally Advanced Breast Cancer
    Soliman, Hany
    Gunasekara, Anoma
    Rycroft, Mary
    Zubovits, Judit
    Dent, Rebecca
    Spayne, Jacqueline
    Yaffe, Martin J.
    Czarnota, Gregory J.
    [J]. CLINICAL CANCER RESEARCH, 2010, 16 (09) : 2605 - 2614
  • [8] Functional Imaging of Neoadjuvant Chemotherapy Response in Women with Locally Advanced Breast Cancer using Diffuse Optical Spectroscopy
    Soliman, Hany
    Yaffe, Martin J.
    Czarnota, Gregory J.
    [J]. 2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20, 2009, : 3244 - 3246
  • [9] Optical Mammography Using Diffuse Optical Spectroscopy for Monitoring Tumor Response to Neoadjuvant Chemotherapy in Women with Locally Advanced Breast Cancer
    Schaafsma, Boudewijn E.
    de Giessen, Martijn van
    Charehbili, Ayoub
    Smit, Vincent T. H. B. M.
    Kroep, Judith R.
    Lelieveldt, Boudewijn P. F.
    Liefers, Gerrit-Jan
    Chan, Alan
    Lowik, W. G. M.
    Dijkstra, Jouke
    de Velde, Cornelis J. H. van
    Wasser, Martin N. J. M.
    Vahrmeijer, Alexander L.
    [J]. CLINICAL CANCER RESEARCH, 2015, 21 (03) : 577 - 584
  • [10] Optical Mammography Using Diffuse Optical Spectroscopy for Monitoring Tumor Response to Neoadjuvant Chemotherapy in Women with Locally Advanced Breast Cancer
    Su, M. -Y. L.
    [J]. BREAST DISEASES, 2015, 26 (03): : 214 - 217