A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound

Tadayyon, Hadi; Sannachi, Lakshmanan; Gangeh, Mehrdad J.; Kim, Christina; Ghandi, Khashayar; Trudeau, Maureen; Pritchard, Kathleen I.; Tran, William T.; Slodkowska, Elzbieta; Sadeghi‐Naini, Ali; Czarnota, Gregory J.

doi:10.1038/srep45733

Cited by 55 publications

(100 citation statements)

References 43 publications

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“…A recent study reported good potential for tumour-core-to-margin ratio of QUS parameters to characterize breast tumour aggressiveness and predict its response to chemotherapy 56 . Benign and malignant lesions of breast often demonstrate different marginal characteristics 64 .…”

Section: Discussionmentioning

confidence: 99%

“…Such limitations can be addressed by performing texture analysis on QUS parametric images in which these artifacts have been compensated. In this context, a recent study has reported significant differences in textural features determined from QUS parametric images at pre-treatment between responding and non-responding breast cancer patients to neo-adjuvant chemotherapy 56 . Specifically, the significant parameters were measures of inhomogeneity in size and concentration of scatterers within tumours.…”

Section: Introductionmentioning

confidence: 99%

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Breast-Lesion Characterization using Textural Features of Quantitative Ultrasound Parametric Maps

Sadeghi‐Naini

Suraweera

Tran

et al. 2017

Sci Rep

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This study evaluated, for the first time, the efficacy of quantitative ultrasound (QUS) spectral parametric maps in conjunction with texture-analysis techniques to differentiate non-invasively benign versus malignant breast lesions. Ultrasound B-mode images and radiofrequency data were acquired from 78 patients with suspicious breast lesions. QUS spectral-analysis techniques were performed on radiofrequency data to generate parametric maps of mid-band fit, spectral slope, spectral intercept, spacing among scatterers, average scatterer diameter, and average acoustic concentration. Texture-analysis techniques were applied to determine imaging biomarkers consisting of mean, contrast, correlation, energy and homogeneity features of parametric maps. These biomarkers were utilized to classify benign versus malignant lesions with leave-one-patient-out cross-validation. Results were compared to histopathology findings from biopsy specimens and radiology reports on MR images to evaluate the accuracy of technique. Among the biomarkers investigated, one mean-value parameter and 14 textural features demonstrated statistically significant differences (p < 0.05) between the two lesion types. A hybrid biomarker developed using a stepwise feature selection method could classify the legions with a sensitivity of 96%, a specificity of 84%, and an AUC of 0.97. Findings from this study pave the way towards adapting novel QUS-based frameworks for breast cancer screening and rapid diagnosis in clinic.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Breast-Lesion Characterization using Textural Features of Quantitative Ultrasound Parametric Maps

Sadeghi‐Naini

Suraweera

Tran

et al. 2017

Sci Rep

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“…Nowadays, many methods are available to assess tumor response, such as clinical palpation, ultrasound [ 18 ], X-ray mammography, magnetic resonance imaging (MRI) [ 21 ], and positron emission tomography/computed tomography (PET/CT) [ 3 ]. However, they still have their limitations.…”

Section: Introductionmentioning

confidence: 99%

Prediction of neoadjuvant chemotherapy response using diffuse optical spectroscopy in breast cancer

Zhu

et al. 2017

Clin Transl Oncol

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PurposeNear-infrared diffuse optical spectroscopy (DOS) has been recently used to predict neoadjuvant chemotherapy response (NAC). In the present study, we explore the change in blood-oxygen content using DOS to predict NAC response against breast cancer.Materials and methodsA total of 20 patients were enrolled and underwent DOS scan with blood-oxygen detection before each treatment cycle. The first DOS scan was performed before NAC treatment (pretreatment), and subsequent scans were performed after each NAC treatment circle. Changes in blood content and oxygen content by DOS were evaluated and compared with tumor size, and their changes were analyzed in response versus nonresponse group.ResultsThirteen patients were classified into response and seven patients into nonresponse group. The tumor blood content value (−1.06 ± 0.43) and oxygen content value (0.48 ± 0.17) of DOS at pretreatment was significantly different from presurgery in response group (P < 0.05), but not in nonresponse group. In response group, the percentage change in blood content (median 91.19%) was significantly larger than tumor size (median 48.89%) (P = 0.0035), while in oxygen content (median 47.11%) is not (P = 0.2815). Comparing each cycle, the percentage change in blood content could distinguish responder from non-responder as early as after the first treatment cycle (19.1 versus 6.6%, P = 0.0265). Blood content percentage sensitivity was 76.9% and specificity was 85.7% (AUC 0.912), while oxygen content percentage sensitivity was 76.9% and specificity was 71.4% (AUC 0.797).ConclusionBoth blood and oxygen content measured by DOS could be used to discriminate responder to the treatment versus non-responder. Among the two, percentage change of blood content was more precise and earlier than that of oxygen content to predicted breast tumor response. The percentage change in blood content could distinguish responder from non-responder after the first treatment cycle.

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“…Second, 213 (7.6%) patients with IHC HER2 2+ lacked further FISH tests, causing a relatively large proportion of undetermined HER2 status and group of patients with unclassified molecular subtype in our population. Additionally, applications of novel features including quantitative ultrasound 41 and shear wave elastography 42 were unavailable in this study, which may better predict treatment response and survival in BC.…”

Section: Discussionmentioning

confidence: 99%

Association of sonographic features and molecular subtypes in predicting breast cancer disease outcomes

et al. 2020

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Background Features in preoperative ultrasound could predict the prognosis of triple‐negative breast cancer (TNBC), while its prognostic value in other molecular subtypes of breast cancer (BC) was unknown. The study aimed to assess the prognostic value of preoperative sonographic features, including orientations, on long‐term outcomes in BC and its association with different molecular subtypes. Methods Women diagnosed with invasive BC > 5 mm who underwent surgery were retrospectively reviewed. Clinical, pathological, and sonographic profiles were collected and recurrence‐free survival (RFS) and breast cancer‐specific survival (BCSS) were reported. Interactions between clinicopathological features and tumor orientations in predicting RFS and BCSS were analyzed. Competing risk model was performed to estimate prognostic values of sonographic features for RFS and BCSS. Results A total of 2812 patients were included. With a median follow‐up of 60.0 months, 268 (9.5%) patients suffered from recurrences and 104 (3.7%) died of BC. The prognostic values of vertical orientation in predicting RFS (P = .001) and BCSS (P = .001) were strongly associated with molecular subtypes. Non‐TNBC tumors with vertical orientation had less recurrence events compared with parallel orientation (6.3% vs 8.7%, P = .035), whereas failed to predict disease outcomes in multivariate analysis (P > .05). Oppositely, in TNBC, vertical orientation was associated with worse RFS (HR = 3.50; 95% confidence interval [CI] 1.69‐7.24; P < .001) and BCSS (HR = 6.36; 95% CI 2.86‐14.14; P < .001) in multivariate analysis with a 5‐year RFS and BCSS of 73.4% and 74.6%. Meanwhile, vertical orientation was related with smaller tumor size (P < .001), human epidermal growth factor receptor 2 nonamplification (P < .001), and lower Ki‐67 expression (P = .001) among non‐TNBC population, whereas TNBC tumors with vertical orientation had a higher burden of axillary lymph node metastases (2.8 ± 1.0 vs 1.4 ± 0.2, P = .001). Conclusions Prognostic values of sonographic orientation in predicting BC disease outcomes were associated with molecular subtypes. Vertical orientation in preoperative sonogram may serve as a prognostic biomarker for TNBC patients.

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A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound

Cited by 55 publications

References 43 publications

Breast-Lesion Characterization using Textural Features of Quantitative Ultrasound Parametric Maps

Breast-Lesion Characterization using Textural Features of Quantitative Ultrasound Parametric Maps

Prediction of neoadjuvant chemotherapy response using diffuse optical spectroscopy in breast cancer

Association of sonographic features and molecular subtypes in predicting breast cancer disease outcomes

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