# Prediction of Neoadjuvant Therapy Efficacy and Prognosis for Breast Cancer Based on Multimodal Data

> **NCT07671690** · NA · NOT_YET_RECRUITING · sponsor: **Yunnan Cancer Hospital** · enrollment: 1800 (estimated)

## Conditions studied

- Breast Carcinoma

## Interventions

- **DIAGNOSTIC_TEST:** To explore the value of a multimodal deep learning model integrating MRI, ultrasound, digital pathology and clinical information in predicting pCR and long-term prognosis.

## Key facts

- **NCT ID:** NCT07671690
- **Lead sponsor:** Yunnan Cancer Hospital
- **Sponsor class:** OTHER
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2026-06-01
- **Primary completion:** 2026-12-31
- **Final completion:** 2029-06-30
- **Target enrollment:** 1800 (ESTIMATED)
- **Last updated:** 2026-06-26


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07671690

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07671690, "Prediction of Neoadjuvant Therapy Efficacy and Prognosis for Breast Cancer Based on Multimodal Data". Retrieved via MORVS 2026-10-21 from https://api.morvs.ai/clinical/NCT07671690. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*