Abstract PS2-01-13: Pixels to Prognosis: Predicting Response to NAST Using Multiparametric Imaging Combining Tomosynthesis, Shear Wave Elastography and Doppler

Abstract Background: Predicting response to NAST may help tailor treatment, maximize pCR rates and de-escalate surgery (BCS, SLNB). We tested if multiparametric imaging- using mammography breast tomosynthesis (DBT), ultrasound shear wave elastography (SWE) & color Doppler after 2 NAST cycles (post2NAST) of their changes from baseline correlate with NAST response and predict pCR. Methods: In this prospective study, 100 non-metastatic breast ca pts (39 TNBC, 31 HER2 enriched, 28 Luminal B like) receiving NAST underwent imaging at baseline, post2NAST, after completing NAST. Changes in tumor dimensions, volume, density, stiffness, vascularity were correlated with pCR & RCB after surgery. Results: 40% achieved pCR. Post2NAST DBT density changes predicted pCR (p<0.0001); 92% patients with pCR had decreased density. Density post2NAST was strongly associated with response- 87% low-density tumors had low RCB (0-1), c.w. 88% persistent high-density tumors had poor response (RCB 2-3)- 87% sensitivity, 80% specificity. Post2NAST, ≥17.6% reduction in max diam predicted pCR with 82.5% sensitivity, 70% specificity (AUC = 0.817), while ≥39.4% vol. reduction predicted pCR with 87.5% sensitivity, 70% specificity (AUC = 0.824). Mean & max SWE values from tumor core, peritumoral zone & large ROI were studied. Only mean, max peritumoral SWE baseline→ post2NAST reduction was significantly assoc. with pCR (p=0.038, 0.020 respectively). Absolute SWE values post2NAST or post NAST across all regions didn’t distinguish responders. Baseline→ post2NAST reduction in Adler vascular score (semi-quantitative Doppler grading that classify vascularity/angiogenesis) was significantly assoc. with pCR, p=0.002. Patients achieving ‘No flow’ had highest pCR (71.4%). A ≥2-point drop demonstrated high 87% specificity for pCR. Mean 13-point vascular imaging score declined significantly (baseline 9.6→ 6.9 post2NAST). On ROC analysis, score ≤6 post2NAST predicted pCR with 77% sensitivity, 60% specificity (AUC = 0.695, p=0.001). Subtype analysis: HER2+ tumors had greatest DBT density reduction after NAST (87.1%, p=0.038), closely mirroring their highest pCR rates. TNBC &HER2+ subtypes had greater stiffness reductions on SWE post2NAST, esp. in peritumoral mean/max & large ROI values (AUC 0.70). While Adler score regression (to “no flow”) was commonest in TNBC, subtype difference didn't reach significance. Luminal B tumors consistently showed least favorable imaging response. Conclusions: Early imaging response post2NAST, especially DBT density/volume reduction & peritumoral SWE stiffness reduction strongly predict pCR, outperforming absolute values. Multiparametric imaging combining DBT, SWE & Doppler vascular scores (Adler & 13-point) offers a non-invasive, early surrogate for treatment response, enabling timely therapy tailoring, and predicting pCR. Citation Format: G. Agarwal, S. Dariya, S. Mayilvaganan, G. Chand, A. Mishra, N. Mohindra, V. Agrawal, P. Mishra. Pixels to Prognosis: Predicting Response to NAST Using Multiparametric Imaging Combining Tomosynthesis, Shear Wave Elastography and Doppler [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS2-01-13.

Authors

Institutions

Publication Details

Journal
Clinical Cancer Research
Published
2026-02-17
DOI
https://doi.org/10.1158/1557-3265.sabcs25-ps2-01-13
Primary Topic
Ultrasound Imaging and Elastography
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract PS2-01-13: Pixels to Prognosis: Predicting Response to NAST Using Multiparametric Imaging Combining Tomosynthesis, Shear Wave Elastography and Doppler

Samprati Dariya, Namita Mohindra, Vinita Agrawal, G. Chand et al.
Clinical Cancer Research
Ultrasound Imaging and Elastography
article

Abstract PS2-01-13: Pixels to Prognosis: Predicting Response to NAST Using Multiparametric Imaging Combining Tomosynthesis, Shear Wave Elastography and Doppler

Samprati Dariya, Namita Mohindra, Vinita Agrawal, G. Chand, S. Mayilvaganan, A. Mishra, G. Agarwal, P. Mishra
article en

Abstract

Abstract Background: Predicting response to NAST may help tailor treatment, maximize pCR rates and de-escalate surgery (BCS, SLNB). We tested if multiparametric imaging- using mammography breast tomosynthesis (DBT), ultrasound shear wave elastography (SWE) & color Doppler after 2 NAST cycles (post2NAST) of their changes from baseline correlate with NAST response and predict pCR. Methods: In this prospective study, 100 non-metastatic breast ca pts (39 TNBC, 31 HER2 enriched, 28 Luminal B like) receiving NAST underwent imaging at baseline, post2NAST, after completing NAST. Changes in tumor dimensions, volume, density, stiffness, vascularity were correlated with pCR & RCB after surgery. Results: 40% achieved pCR. Post2NAST DBT density changes predicted pCR (p<0.0001); 92% patients with pCR had decreased density. Density post2NAST was strongly associated with response- 87% low-density tumors had low RCB (0-1), c.w. 88% persistent high-density tumors had poor response (RCB 2-3)- 87% sensitivity, 80% specificity. Post2NAST, ≥17.6% reduction in max diam predicted pCR with 82.5% sensitivity, 70% specificity (AUC = 0.817), while ≥39.4% vol. reduction predicted pCR with 87.5% sensitivity, 70% specificity (AUC = 0.824). Mean & max SWE values from tumor core, peritumoral zone & large ROI were studied. Only mean, max peritumoral SWE baseline→ post2NAST reduction was significantly assoc. with pCR (p=0.038, 0.020 respectively). Absolute SWE values post2NAST or post NAST across all regions didn’t distinguish responders. Baseline→ post2NAST reduction in Adler vascular score (semi-quantitative Doppler grading that classify vascularity/angiogenesis) was significantly assoc. with pCR, p=0.002. Patients achieving ‘No flow’ had highest pCR (71.4%). A ≥2-point drop demonstrated high 87% specificity for pCR. Mean 13-point vascular imaging score declined significantly (baseline 9.6→ 6.9 post2NAST). On ROC analysis, score ≤6 post2NAST predicted pCR with 77% sensitivity, 60% specificity (AUC = 0.695, p=0.001). Subtype analysis: HER2+ tumors had greatest DBT density reduction after NAST (87.1%, p=0.038), closely mirroring their highest pCR rates. TNBC &HER2+ subtypes had greater stiffness reductions on SWE post2NAST, esp. in peritumoral mean/max & large ROI values (AUC 0.70). While Adler score regression (to “no flow”) was commonest in TNBC, subtype difference didn't reach significance. Luminal B tumors consistently showed least favorable imaging response. Conclusions: Early imaging response post2NAST, especially DBT density/volume reduction & peritumoral SWE stiffness reduction strongly predict pCR, outperforming absolute values. Multiparametric imaging combining DBT, SWE & Doppler vascular scores (Adler & 13-point) offers a non-invasive, early surrogate for treatment response, enabling timely therapy tailoring, and predicting pCR. Citation Format: G. Agarwal, S. Dariya, S. Mayilvaganan, G. Chand, A. Mishra, N. Mohindra, V. Agrawal, P. Mishra. Pixels to Prognosis: Predicting Response to NAST Using Multiparametric Imaging Combining Tomosynthesis, Shear Wave Elastography and Doppler [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS2-01-13.

Clinical Cancer ResearchVol. 32(4_Supplement)
Sanjay Gandhi Post Graduate Institute of Medical Sciences (IN)
Openalex Percentile: Top 53%
Ultrasound Imaging and Elastography
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.