Early Changes in Quantitative Ultrasound Imaging Parameters during Neoadjuvant Chemotherapy to Predict Recurrence in Patients with Locally Advanced Breast Cancer
Abstract
:Simple Summary
Abstract
1. Introduction
2. Material and Methods
2.1. Patient Selection
2.2. Treatment Details
2.3. Quantitative Ultrasound Parameter Estimation
2.4. Texture Features and Texture Derivatives Evaluation
2.5. Statistical Analysis and Classification Algorithms
3. Results
3.1. Clinical Characteristics
3.2. Quantitative Ultrasound Feature Analysis
3.3. Classifier Results
3.4. Clinical Outcomes and Performance of Prediction Models
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Features | Recurrence (n = 28) | Non-Recurrence (n = 55) | |||
---|---|---|---|---|---|
Patient Characteristics | n | % | n | % | |
Age | Median (Range) | 50 (29–79) years | 48 (31–72) years | ||
Menopausal Status | Premenopausal | 16 | 57 | 33 | 60 |
Perimenopausal | 1 | 4 | 3 | 6 | |
Postmenopausal | 10 | 36 | 17 | 31 | |
Not specified | 1 | 4 | 2 | 4 | |
Laterality | Right | 15 | 54 | 27 | 49 |
Left | 13 | 46 | 28 | 51 | |
Pathological features | n | % | n | % | |
Histology | IDC | 25 | 89 | 51 | 93 |
ILC | 2 | 7 | 1 | 2 | |
Others | 1 | 4 | 3 | 5 | |
HR+/HER2+ | 6 | 21 | 14 | 26 | |
HR+/Her2− | 10 | 36 | 20 | 36 | |
HR−/HER2+ | 4 | 14 | 5 | 9 | |
TNBC | 8 | 29 | 16 | 29 | |
Neoadjuvant Treatment | n | % | n | % | |
Chemotherapy regimen | AC-T | 21 | 75 | 35 | 64 |
FEC-D | 5 | 18 | 15 | 27 | |
TC | 2 | 7 | 5 | 8 | |
Dose Dense | No | 13 | 46 | 26 | 47 |
Yes | 15 | 54 | 29 | 53 | |
Trastuzumab | No | 18 | 64 | 36 | 66 |
Yes | 10 | 36 | 19 | 34 | |
Treatment Response | n | % | n | % | |
Pathological Complete Response (pCR) | 0 | 0 | 16 | 29 | |
Partial Responder (PR) | 21 | 75 | 33 | 60 | |
Non Responder (NR) | 7 | 25 | 6 | 11 |
Parameter | Recurrence Mean ± SEM | Non-Recurrence Mean ± SEM | p-Value |
---|---|---|---|
∆ASD-ENE | 0.008 ± 0.021 | 0.005 ± 0.099 | 0.033 |
∆MBF-HOM-CON | −0.306 ± 0.889 | 0.160 ± 0.867 | 0.038 |
Classification Performance | Model | %Sn | %Sp | %Acc | AUC | Selected Feature(s) |
---|---|---|---|---|---|---|
First and second-order (QUS + QUS-Tex1) | k-NN | 73 (61–83) | 64 (52–75) | 74 (63–85) | 0.70 (0.59–0.79) | ΔSAS ΔASD-ENE ASD-CONW0 |
SVM | 74 (64–83) | 86 (77–95) | 84 (72–95) | 0.78 (0.66–0.89) | SASW0 ASD-CONW0 ΔAAC-HOM | |
All features (QUS + QUS-Tex1 + QUS-Tex1-Tex2) | k-NN | 87 (78–95) | 75 (64–85) | 81 (70–93) | 0.83 (0.73–0.92) | ACEW0 AAC-CON-CONW0 ΔASD-CON-CON |
SVM | 75 (62–87) | 85 (72–96) | 85 (73–97) | 0.78 (0.68–0.88) | SASW0 ASD-CONW0 ΔAAC-HOM |
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Bhardwaj, D.; Dasgupta, A.; DiCenzo, D.; Brade, S.; Fatima, K.; Quiaoit, K.; Trudeau, M.; Gandhi, S.; Eisen, A.; Wright, F.; et al. Early Changes in Quantitative Ultrasound Imaging Parameters during Neoadjuvant Chemotherapy to Predict Recurrence in Patients with Locally Advanced Breast Cancer. Cancers 2022, 14, 1247. https://doi.org/10.3390/cancers14051247
Bhardwaj D, Dasgupta A, DiCenzo D, Brade S, Fatima K, Quiaoit K, Trudeau M, Gandhi S, Eisen A, Wright F, et al. Early Changes in Quantitative Ultrasound Imaging Parameters during Neoadjuvant Chemotherapy to Predict Recurrence in Patients with Locally Advanced Breast Cancer. Cancers. 2022; 14(5):1247. https://doi.org/10.3390/cancers14051247
Chicago/Turabian StyleBhardwaj, Divya, Archya Dasgupta, Daniel DiCenzo, Stephen Brade, Kashuf Fatima, Karina Quiaoit, Maureen Trudeau, Sonal Gandhi, Andrea Eisen, Frances Wright, and et al. 2022. "Early Changes in Quantitative Ultrasound Imaging Parameters during Neoadjuvant Chemotherapy to Predict Recurrence in Patients with Locally Advanced Breast Cancer" Cancers 14, no. 5: 1247. https://doi.org/10.3390/cancers14051247