Predicting breast cancer response to neoadjuvant chemotherapy using pretreatment diffuse optical spectroscopic texture analysis

• Published in: British journal of cancer Vol. 116; no. 10; pp. 1329 - 1339
• Main Authors: 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
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 09.05.2017; Nature Publishing Group
• Subjects: 631/1647/527; 692/53/2423; 692/699/67/1059/99; 692/699/67/1347; Accuracy; Anthracyclines - administration & dosage; Antineoplastic Combined Chemotherapy Protocols - therapeutic use; Area Under Curve; Biomedical and Life Sciences; Biomedicine; Breast cancer; Breast Neoplasms - diagnostic imaging; Breast Neoplasms - drug therapy; Breast Neoplasms - pathology; Bridged-Ring Compounds - administration & dosage; Cancer Research; Cancer therapies; Carcinoma, Ductal, Breast - diagnostic imaging; Carcinoma, Ductal, Breast - drug therapy; Carcinoma, Ductal, Breast - pathology; Carcinoma, Lobular - drug therapy; Carcinoma, Lobular - pathology; Chemotherapy; Chemotherapy, Adjuvant; Drug Resistance; Epidemiology; Female; Health sciences; Hemoglobin; Hemoglobins - metabolism; Humans; Magnetic resonance imaging; Mammography; Medical imaging; Medical research; Middle Aged; Molecular Medicine; Neoadjuvant Therapy; Oncology; Oxygen - metabolism; Predictive Value of Tests; Radiation; ROC Curve; Spectrum Analysis; Taxoids - administration & dosage; Tomography, Optical - methods; Translational Therapeutics; Trastuzumab - administration & dosage; Tumor Burden; Tumors; United Kingdom > UK; Toronto Ontario Canada; Canada; imaging biomarkers; diffuse optical spectroscopy imaging; breast cancer
• DOI: 10.1038/bjc.2017.97
• ISSN: 0007-0920; 1532-1827

Background: Diffuse optical spectroscopy (DOS) has been demonstrated capable of monitoring response to neoadjuvant chemotherapy (NAC) in locally advanced breast cancer (LABC) patients. In this study, we evaluate texture features of pretreatment DOS functional maps for predicting LABC response to NAC. Methods: Locally advanced breast cancer patients ( n =37) underwent DOS breast imaging before starting NAC. Breast tissue parametric maps were constructed and texture analyses were performed based on grey-level co-occurrence matrices for feature extraction. Ground truth labels as responders (R) or non-responders (NR) were assigned to patients based on Miller–Payne pathological response criteria. The capability of DOS textural features computed on volumetric tumour data before the start of treatment (i.e., ‘pretreatment’) to predict patient responses to NAC was evaluated using a leave-one-out validation scheme at subject level. Data were analysed using a logistic regression, naive Bayes, and k -nearest neighbour classifiers. Results: Data indicated that textural characteristics of pretreatment DOS parametric maps can differentiate between treatment response outcomes. The HbO 2 homogeneity resulted in the highest accuracy among univariate parameters in predicting response to chemotherapy: sensitivity (%Sn) and specificity (%Sp) were 86.5% and 89.0%, respectively, and accuracy was 87.8%. The highest predictors using multivariate (binary) combination features were the Hb-contrast+HbO 2 -homogeneity, which resulted in a %Sn/%Sp=78.0/81.0% and an accuracy of 79.5%. Conclusions: This study demonstrated that the pretreatment DOS texture features can predict breast cancer response to NAC and potentially guide treatments.