Marios Konstantinos Tasoulis1, Han-Byoel Lee2,3,4, Wei Yang5, Romney Pope6, Savitri Krishnamurthy7, Soo-Yeon Kim8, Nariya Cho8, Victoria Teoh1, Gaiane M Rauch9, Benjamin D Smith10, Vicente Valero11, Kabir Mohammed12, Wonshik Han2,3,4, Fiona MacNeill1, Henry M Kuerer13. 1. Department of Breast Surgery, The Royal Marsden NHS Foundation Trust, London, United Kingdom. 2. Department of Surgery, Seoul National University College of Medicine, Seoul, South Korea. 3. Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea. 4. Cancer Research Institute, Seoul National University, Seoul, South Korea. 5. Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston. 6. Department of Radiology, The Royal Marsden NHS Foundation Trust, London, United Kingdom. 7. Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston. 8. Department of Radiology, Seoul National University Hospital, Seoul, South Korea. 9. Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston. 10. Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston. 11. Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston. 12. Research and Development Department, The Royal Marsden NHS Foundation Trust, Sutton, United Kingdom. 13. Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston.
Abstract
Importance: Image-guided breast biopsy of a residual imaging abnormality or tumor bed after neoadjuvant chemotherapy (NACT) is increasingly used to assess residual cancer, facilitate risk-adaptive surgery, and potentially identify exceptional responders in whom local therapy may be de-escalated. Objective: To further assess the accuracy of post-NACT image-guided biopsy to predict residual cancer in the breast. Design, Setting, and Participants: This diagnostic study analyzed multicenter patient-level data of patients with breast cancer who were treated with NACT and underwent image-guided biopsy before surgery at Royal Marsden Hospital in London, UK; Seoul National University Hospital in Seoul, South Korea; and MD Anderson Cancer Center in Houston, Texas. Data were analyzed from June to July 2019. Main Outcomes and Measures: Diagnostic accuracy of post-NACT image-guided biopsy. Final surgical pathology was used as reference standard. Results: Data from 166 women were analyzed. The median (range) age was 49 (25-76) years. The median (range) tumor size on pretreatment and posttreatment imaging was 33.5 (12-100) mm and 10 (0-100) mm, respectively. The overall pathologic complete response rate was 51.2% (n = 85) (16.1% [5 of 31] for hormone receptor-positive/ERBB2 (formerly HER2)-negative; 44.7% [21 of 47] for hormone receptor-positive/ERBB2-positive; 69% [20 of 29] for hormone receptor-negative/ERBB2-positive; and 66.1% [39 of 59] for triple negative). The majority (143 [86.1%]) underwent image-guided vacuum-assisted biopsy (VAB), and 23 had core-cut biopsy. The median (range) needle gauge was 10 (7-14), and the median (range) number of samples was 6 (2-18). When image-guided biopsy (VAB and core-cut biopsy) was representative (159 [95.8%]), the false-negative rate across the whole cohort was 18.7% (95% CI, 10.6%-29.3%). Subgroup analysis of patients with a complete/partial clinical response and residual imaging abnormality of 2 cm or smaller with at least 6 VABs taken (76 [45.8%]) demonstrated a false-negative rate of 3.2% (95% CI, 0.1%-16.7%), a negative predictive value of 97.4% (95% CI, 86.5%-99.9%), and an overall accuracy of 89.5% (95% CI, 80.3%-95.3%). Conclusions and Relevance: This large multicenter pooled data analysis suggests that a standardized protocol using image-guided VAB of a tumor bed measuring 2 cm or smaller with 6 or more representative samples allows reliable prediction of residual disease. These results could inform the design of de-escalation trials in NACT exceptional responders testing the safety of eliminating surgery.
Importance: Image-guided breast biopsy of a residual imaging abnormality or tumor bed after neoadjuvant chemotherapy (NACT) is increasingly used to assess residual cancer, facilitate risk-adaptive surgery, and potentially identify exceptional responders in whom local therapy may be de-escalated. Objective: To further assess the accuracy of post-NACT image-guided biopsy to predict residual cancer in the breast. Design, Setting, and Participants: This diagnostic study analyzed multicenter patient-level data of patients with breast cancer who were treated with NACT and underwent image-guided biopsy before surgery at Royal Marsden Hospital in London, UK; Seoul National University Hospital in Seoul, South Korea; and MD Anderson Cancer Center in Houston, Texas. Data were analyzed from June to July 2019. Main Outcomes and Measures: Diagnostic accuracy of post-NACT image-guided biopsy. Final surgical pathology was used as reference standard. Results: Data from 166 women were analyzed. The median (range) age was 49 (25-76) years. The median (range) tumor size on pretreatment and posttreatment imaging was 33.5 (12-100) mm and 10 (0-100) mm, respectively. The overall pathologic complete response rate was 51.2% (n = 85) (16.1% [5 of 31] for hormone receptor-positive/ERBB2 (formerly HER2)-negative; 44.7% [21 of 47] for hormone receptor-positive/ERBB2-positive; 69% [20 of 29] for hormone receptor-negative/ERBB2-positive; and 66.1% [39 of 59] for triple negative). The majority (143 [86.1%]) underwent image-guided vacuum-assisted biopsy (VAB), and 23 had core-cut biopsy. The median (range) needle gauge was 10 (7-14), and the median (range) number of samples was 6 (2-18). When image-guided biopsy (VAB and core-cut biopsy) was representative (159 [95.8%]), the false-negative rate across the whole cohort was 18.7% (95% CI, 10.6%-29.3%). Subgroup analysis of patients with a complete/partial clinical response and residual imaging abnormality of 2 cm or smaller with at least 6 VABs taken (76 [45.8%]) demonstrated a false-negative rate of 3.2% (95% CI, 0.1%-16.7%), a negative predictive value of 97.4% (95% CI, 86.5%-99.9%), and an overall accuracy of 89.5% (95% CI, 80.3%-95.3%). Conclusions and Relevance: This large multicenter pooled data analysis suggests that a standardized protocol using image-guided VAB of a tumor bed measuring 2 cm or smaller with 6 or more representative samples allows reliable prediction of residual disease. These results could inform the design of de-escalation trials in NACT exceptional responders testing the safety of eliminating surgery.
Authors: Laila A Gharzai; Lauren A Szczygiel; Dean A Shumway; Hanna Bandos; Thomas B Julian; Eleftherios P Mamounas; Julia White; Jennifer F De Los Santos; Mark Basik; Patricia A Ganz; Reshma Jagsi Journal: Breast Cancer Res Treat Date: 2021-03-19 Impact factor: 4.872