Functional hemodynamic imaging markers for the prediction of pathological outcomes in breast cancer patients treated with neoadjuvant chemotherapy

被引:0
|
作者
Deng, Bin [1 ,2 ]
Muldoon, Ailis [1 ]
Cormier, Jayne [3 ]
Mercaldo, Nathaniel D. [2 ,4 ]
Niehoff, Elizabeth [5 ]
Moffett, Natalie [5 ]
Saksena, Mansi A. [2 ,3 ]
Isakoff, Steven J. [2 ,5 ]
Carp, Stefan A. [1 ,2 ]
机构
[1] Massachusetts Gen Hosp, Athinoula A Martinos Ctr Biomed Imaging, Dept Radiol, Charlestown, MA 02129 USA
[2] Harvard Med Sch, Boston, MA 02115 USA
[3] Massachusetts Gen Hosp, Dept Radiol, Breast Imaging Div, Boston, MA USA
[4] Massachusetts Gen Hosp, Inst Technol Assessment, Boston, MA USA
[5] Massachusetts Gen Hosp, Canc Ctr, Boston, MA USA
关键词
diffuse optical tomography; digital breast tomosynthesis; breast cancer; neoadjuvant chemotherapy; therapy monitoring; functional imaging marker; DIFFUSE OPTICAL SPECTROSCOPY; TUMOR RESPONSE; PREOPERATIVE CHEMOTHERAPY; WOMEN; MAMMOGRAPHY; TISSUE; HEMOGLOBIN; REDUCTION; MRI;
D O I
10.1117/1.JBO.29.6.066001
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Significance: Achieving pathologic complete response (pCR) after neoadjuvant chemotherapy (NACT) is a significant predictor of increased likelihood of survival in breast cancer patients. Early prediction of pCR is of high clinical value as it could allow personalized adjustment of treatment regimens in non-responding patients for improved outcomes. Aim: We aim to assess the association between hemoglobin-based functional imaging biomarkers derived from diffuse optical tomography (DOT) and the pathological outcome represented by pCR at different timepoints along the course of NACT. Approach: Twenty-two breast cancer patients undergoing NACT were enrolled in a multimodal DOT and X-ray digital breast tomosynthesis (DBT) imaging study in which their breasts were imaged at different compression levels. Logistic regressions were used to study the associations between DOT-derived imaging markers evaluated after the first and second cycles of chemotherapy, respectively, with pCR status determined after the conclusion of NACT at the time of surgery. Receiver operating characteristic curve analysis was also used to explore the predictive performance of selected DOT-derived markers. Results: Normalized tumor HbT under half compression was significantly lower in the pCR group compared to the non-pCR group after two chemotherapy cycles (p=0.042). In addition, the change in normalized tumor StO2 upon reducing compression from full to half mammographic force was identified as another potential indicator of pCR at an earlier time point, i.e., after the first chemo cycle (p=0.038). Exploratory predictive assessments showed that AUCs using DOT-derived functional imaging markers as predictors reach as high as 0.75 and 0.71, respectively, after the first and second chemo cycle, compared to AUCs of 0.50 and 0.53 using changes in tumor size measured on DBT and MRI. Conclusions: These findings suggest that breast DOT could be used to assist response assessment in women undergoing NACT, a critical but unmet clinical need, and potentially enable personalized adjustments of treatment regimens.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients
    Tahmassebi, Amirhessam
    Wengert, Georg J.
    Helbich, Thomas H.
    Bago-Horvath, Zsuzsanna
    Alaei, Sousan
    Bartsch, Rupert
    Dubsky, Peter
    Balizen, Pascal
    Clausen, Paola
    Kapetas, Panagiotis
    Morris, Elizabeth A.
    Meyer-Baese, Anke
    Pinker, Katja
    INVESTIGATIVE RADIOLOGY, 2019, 54 (02) : 110 - 117
  • [42] Radiomic model based on magnetic resonance imaging for predicting pathological complete response after neoadjuvant chemotherapy in breast cancer patients
    Yu, Yimiao
    Wang, Zhibo
    Wang, Qi
    Su, Xiaohui
    Li, Zhenghao
    Wang, Ruifeng
    Guo, Tianhui
    Gao, Wen
    Wang, Haiji
    Zhang, Biyuan
    FRONTIERS IN ONCOLOGY, 2024, 13
  • [43] Assessment of Predictive Markers of Response to Neoadjuvant Chemotherapy in Breast Cancer
    Tewari, Mallika
    Pradhan, Satyajit
    Singh, Usha
    Singh, Taj Bali
    Shukla, Hari Shankar
    ASIAN JOURNAL OF SURGERY, 2010, 33 (04) : 157 - 167
  • [44] Molecular Biomarkers Predict Pathological Complete Response of Neoadjuvant Chemotherapy in Breast Cancer Patients: Review
    Freitas, Ana Julia Aguiar de
    Causin, Rhafaela Lima
    Varuzza, Muriele Bertagna
    Hidalgo Filho, Cassio Murilo Trovo
    Silva, Vinicius Duval da
    Souza, Cristiano de Padua
    Marques, Marcia Maria Chiquitelli
    CANCERS, 2021, 13 (21)
  • [45] Multivariable Models Based on Baseline Imaging Features and Clinicopathological Characteristics to Predict Breast Pathologic Response after Neoadjuvant Chemotherapy in Patients with Breast Cancer
    Chen, Peixian
    Wang, Chuan
    Lu, Ruiliang
    Pan, Ruilin
    Zhu, Lewei
    Zhou, Dan
    Ye, Guolin
    BREAST CARE, 2022, 17 (03) : 306 - 315
  • [46] Breast cancer spatial heterogeneity in near-infrared spectra and the prediction of neoadjuvant chemotherapy response
    Santoro, Ylenia
    Leproux, Anais
    Cerussi, Albert
    Tromberg, Bruce
    Gratton, Enrico
    JOURNAL OF BIOMEDICAL OPTICS, 2011, 16 (09)
  • [47] 18F-FLT PET/CT as an imaging tool for early prediction of pathological response in patients with locally advanced breast cancer treated with neoadjuvant chemotherapy: a pilot study
    Flavio Crippa
    Roberto Agresti
    Marco Sandri
    Gabriella Mariani
    Barbara Padovano
    Alessandra Alessi
    Giulia Bianchi
    Emilio Bombardieri
    Ilaria Maugeri
    Mario Rampa
    Maria Luisa Carcangiu
    Giovanna Trecate
    Claudio Pascali
    Anna Bogni
    Gabriele Martelli
    Filippo de Braud
    European Journal of Nuclear Medicine and Molecular Imaging, 2015, 42 : 818 - 830
  • [48] Outcome after neoadjuvant chemotherapy in Asian breast cancer patients
    Lim, Li Yan
    Miao, Hui
    Lim, Joline S. J.
    Lee, Soo Chin
    Bhoo-Pathy, Nirmala
    Yip, Cheng Har
    Taib, Nur Aishah B. M.
    Chan, Patrick
    Tan, Ern Yu
    Lim, Swee Ho
    Lim, Geok Hoon
    Woo, Evan
    Tan, Yia Swam
    Lee, Jung Ah
    Wong, Mabel
    Tan, Puay Hoon
    Ong, Kong Wee
    Wong, Fuh Yong
    Yap, Yoon Sim
    Hartman, Mikael
    CANCER MEDICINE, 2017, 6 (01): : 173 - 185
  • [49] Magnetic Resonance Imaging Evaluation of Pathological Response in Breast Cancer After Neoadjuvant Chemotherapy
    Gülçin Akkavak Palazalı
    Ravza Yılmaz
    Ozgkıour Palazalı
    Memduh Dursun
    Indian Journal of Surgery, 2023, 85 : 39 - 44
  • [50] Accuracy of Breast Ultrasonography and Mammography in Comparison with Postoperative Histopathology in Breast Cancer Patients after Neoadjuvant Chemotherapy
    Schmidt, Gilda
    Findeklee, Sebastian
    Martinez, Gerda del Sol
    Georgescu, Mihai-Teodor
    Gerlinger, Christoph
    Nemat, Sogand
    Klamminger, Gilbert Georg
    Nigdelis, Meletios P.
    Solomayer, Erich-Franz
    Hamoud, Bashar Haj
    DIAGNOSTICS, 2023, 13 (17)