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Positive Node Traced Before Neoadjuvant Chemotherapy (NAC)

Not Applicable
Completed
Conditions
Breast Cancer
Interventions
Procedure: complete remission (CR) group
Procedure: partial remission (PR) group
Procedure: stable disease (SD) group
Procedure: progressive disease (PD) group
Registration Number
NCT03355261
Lead Sponsor
Shengjing Hospital
Brief Summary

To investigate this regression model by injecting and tracing carbon nanoparticles (CNs) into the fusion node prior to NAC in patients with breast cancer.

Detailed Description

Guided by ultrasound, 0.3 mL of CNs suspension was injected in a fusion node prior to NAC in 110 patients with local advanced breast cancer. Patients underwent breast surgery and total axillary lymph node dissection following 2-6 cycles of NAC. The distribution by intercostobrachial nerves (ICBN) of positive nodes, black-stained nodes and lymphovascular invasion was investigated by response to NAC.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
110
Inclusion Criteria
  • invasive ductal carcinoma diagnosed by biopsy;
  • clinically positive node diagnosed by contrast enhance computer tomography (CECT), the number of strengthened nodes at Level I ≥ 1 with the longest diameter of the strengthened node ≥ 2cm;
  • NAC regimen followed the NCCN guideline;
  • no prior history of breast cancer or other malignancies.
Exclusion Criteria
  • the cycle number of neo-adjuvant chemotherapy is equal to or less than 2

Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
complete remission (CR) groupcomplete remission (CR) groupAccording to the RECIST 1.1, 32 patients were allocated into the complete remission (CR) group based on their responses to neoadjuvant chemotherapy (NAC).
partial remission (PR) grouppartial remission (PR) groupAccording to the RECIST 1.1, 61 patients were allocated into the partial remission (PR) group based on their responses to neoadjuvant chemotherapy (NAC).
stable disease (SD) groupstable disease (SD) groupAccording to the RECIST 1.1, 12 patients were allocated into the stable disease (SD) group based on their responses to neoadjuvant chemotherapy (NAC).
progressive disease (PD) groupprogressive disease (PD) groupAccording to the RECIST 1.1, 5 patients were allocated into the progressive disease (PD) group based on their responses to neoadjuvant chemotherapy (NAC).
Primary Outcome Measures
NameTimeMethod
The spatial distribution of positive nodes in axillary after neoadjuvant chemotherapy based on pectoralis minor locationDuring the surgery

After neoadjuvant chemotherapy, whether positive nodes remission (transform to negative), from Level III to Level II, and from Level II to Level I. This means that if the nodes at Level I are negative, the nodes at Level II or Level III will be negative; if the nodes at Level II are negative, the nodes at Level III will be negative; if the nodes at Level III are positive, the nodes at Level I and Level II will be positive.

Secondary Outcome Measures
NameTimeMethod
The spatial distribution of black-stained in axillary after neoadjuvant chemotherapy based on pectoralis minor locationDuring the surgery

If the chemotherapy is sensitive, the number of black-stained nodes will increase from Level I, Level II, to Level III. If the chemotherapy is resistance, the number of black-stained nodes will remain the original number or a little increasing locally.

The spatial distribution of positive nodes in axillary after neoadjuvant chemotherapy based on intercostobrachiales nerves (ICBN) locationDuring the surgery

After neoadjuvant chemotherapy, whether positive nodes remission (transform to negative), from above ICBN to below ICBN. This means that if the nodes below ICBN are negative, the nodes above ICBN will be negative; if the nodes above ICBN are positive, the nodes below ICBN will be positive.

Trial Locations

Locations (3)

The Second Hospital of Jilin University

🇨🇳

Changchun, Jilin, China

the First Affiliated Hospital of China Medical University

🇨🇳

Shenyang, Liaoning, China

Shengjing Hospital of China Medical University

🇨🇳

Shenyang, Liaoning, China

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