Paraphernalia
PPubMed24 Nov 2020Cited 41×

Diagnostic Accuracy of Cross-Polarization OCT and OCT-Elastography for Differentiation of Breast Cancer Subtypes: Comparative Study

Ekaterina V. Gubarkova, Elena B. Kiseleva, Marina A. Sirotkina, Dmitry A. Vorontsov, Ksenia A. Achkasova, Sergey S. Kuznetsov, Konstantin S. Yashin, Aleksander L. Matveyev, Aleksander A. Sovetsky, Lev A. Matveev, Anton A. Plekhanov, Alexey Y. Vorontsov, Vladimir Y. Zaitsev, Natalia D. Gladkova

Abstract

'Dmitry A. Vorontsov' 'Ksenia A. Achkasova' 'Sergey S. Kuznetsov' 'Konstantin S. Yashin' 'Aleksander L. Matveyev' 'Aleksander A. Sovetsky' 'Lev A. Matveev' 'Anton A. Plekhanov' 'Alexey Y. Vorontsov' 'Vladimir Y. Zaitsev' 'Natalia D. Gladkova'] The possibility to assess molecular-biological and morphological features of particular breast cancer types can improve the precision of resection margin detection and enable accurate determining of the tumor aggressiveness, which is important for treatment selection. To enable reliable differentiation of breast-cancer subtypes and evaluation of resection margin, without performing conventional histological procedures, here we apply cross-polarization optical coherence tomography (CP-OCT) and compare it with a novel variant of compressional optical coherence elastography (C-OCE) in terms of the diagnostic accuracy (Ac) with histological verification. The study used 70 excised breast cancer specimens with different morphological structure and molecular status (Luminal A, Luminal B, Her2/Neo+, non-luminal and triple-negative cancer). Our first aim was to formulate convenient criteria of visual assessment of CP-OCT and C-OCE images intended (i) to differentiate tumorous and non-tumorous tissues and (ii) to enable more precise differentiation among different malignant states. We identified such criteria based on the presence of heterogeneities and characteristics of signal attenuation in CP-OCT images, as well as the presence of inclusions/mosaic structures combined with visually feasible assessment of several stiffness grades in C-OCE images. Secondly, we performed a blinded reader study of the Ac of C-OCE versus CP-OCT, for delineation of tumorous versus non-tumorous tissues followed by identification of breast cancer subtypes. For tumor detection, C-OCE showed higher specificity than CP-OCT (97.5% versus 93.3%) and higher Ac (96.0 versus 92.4%). For the first time, the Ac of C-OCE and CP-OCT were evaluated for differentiation between non-invasive and invasive breast cancer (90.4% and 82.5%, respectively).

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