Incheon St. Mary's Hospital
Incheon, South Korea
Location status: Recruiting
Location contact
Jae Pak Yi, MD
SUB_INVESTIGATOR
Young-Joon Kang, MD, PhD
CONTACT
Young-Joon Kang, MD, PhD
PRINCIPAL_INVESTIGATOR
NCT Number: NCT06505577
Breast cancer, the most prevalent malignancy among women globally, is increasing in incidence. While non-metastatic breast cancer requires surgery, determining the optimal extent of resection remains challenging. Inadequate resection margins necessitate reoperation, leading to increased psychological stress, costs, and potentially compromised cosmetic outcomes and prognosis.
Accurate preoperative assessment of resection extent is crucial and involves various factors, including imaging studies, physical examinations, tumor molecular subtypes, and intraductal carcinoma components. This prospective observational study aims to identify and integrate multiple predictive factors to enhance surgical planning and minimize reoperation rates in breast cancer patients.
Interested in participating?
Request Info19 year and older
All sexes
Observational
Incheon, South Korea
Location status: Recruiting
Jae Pak Yi, MD
SUB_INVESTIGATOR
Young-Joon Kang, MD, PhD
CONTACT
Young-Joon Kang, MD, PhD
PRINCIPAL_INVESTIGATOR
Breast cancer is the most prevalent malignancy among women globally, leading to surgical interventions for non-metastatic cases. While breast cancer generally has a favorable prognosis, achieving negative resection margins at initial surgery is crucial for optimal outcomes. The challenge associated with accurately predicting the extent of resection preoperatively, as failure to secure clear margins may necessitate further resection or total mastectomy, resulting in increased psychological stress, higher healthcare costs, compromised cosmetic results, and potential negative impacts on long-term prognosis and quality of life. Many factors contribute to predicting the optimal resection extent, including imaging studies, physical examination findings, tumor molecular subtypes, presence and extent of intraductal carcinoma components, etc. Despite the availability of these predictive factors, their integration and practical application in clinical decision-making remain challenging. This prospective observational study aims to address this gap by analyzing the interplay of these factors in real-world clinical settings, with the primary objective of deriving an integrated predictive model to guide surgeons in determining the optimal extent of resection preoperatively.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Adult patients (≥ 19 years old) diagnosed with breast cancer (invasive and in situ).
Patients scheduled for surgical resection of the tumor Availability of both preoperative tumor size assessments and pathologic measurements post-surgery
Exclusion criteria
Patients with recurrent breast cancer Inflammatory breast cancer Patients who did not undergo surgery Patients whose preoperative tumor size data is not available or deficient for analyzing
All patients are scheduled to undergo standard breast surgery as part of their routine clinical care. No additional interventions are administered specifically for this study.
Time frame: Within 30 days after surgery
To assess the concordance between preoperative tumor size assessments made by surgeons and the actual tumor size determined by pathologic analysis following surgical resection in patients with breast cancer.
Time frame: Within 30 days after surgery
To assess the concordance between preoperative tumor size assessments made by surgeons and the actual tumor size determined by pathologic analysis following surgical resection in patients with breast cancer. A difference of 5mm or more between preoperative and pathologic measurements is defined as discordance.
Time frame: Within 30 days after surgery
To evaluate the concordance between preoperative tumor size assessments and pathologic measurements in the subgroup of patients with ductal carcinoma in situ (DCIS).
Time frame: Within 30 days after surgery
To assess the concordance between preoperative tumor size assessments and pathologic measurements in the subgroup of patients who received neoadjuvant systemic therapy
Time frame: Within 30 days after surgery
To determine the rate of change in surgical method (e.g., from lumpectomy to mastectomy, nipple-sparing to skin-sparing, or vice versa) based on discrepancies between preoperative tumor size assessments and pathologic measurements. This involves collecting the initial surgical method plan from the surgeon before the surgery and, after confirming the pathological size post-surgery, collecting the final surgical method deemed feasible for the patient from the surgeon.
Time frame: Within 30 days after surgery
To determine the associated factors contributing to size discrepancies between mammography (with or without breast ultrasonography) and MRI. For analyzing the clinical factors that necessitate the use of MRI to predict the pathologic tumor size.
Time frame: Within 1 year after enroll
The proportion of patients who develop new malignant lesions during the follow-up period within 1 year after breast surgery.
Contact information is provided by the study sponsor or research team.
Incheon St.Mary's Hospital
Other
Concordance Between Preoperative Assessments and Pathologic Size Measurements in Breast Cancer: a Prospective Observational Study
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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