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In women with newly diagnosed breast cancer, synchronous contralateral breast cancer is reported in 1% to 3%. During the initial diagnosis of breast cancer, it is important to detect the contralateral cancer to avoid second round of cancer therapy. Because breast MRI is a highly sensitive modality, it is used for screening of occult contralateral disease in women newly diagnosed with breast cancer and detects contralateral cancers not seen on clinical or conventional imaging (mammography and ultrasonography) in 4.1% of women. However, the use of breast MRI for screening contralateral breast cancer, is limited not only by high costs and long examination time but also by high false-positive findings resulting in more benign biopsies and extensive surgeries. In addition, the use of intravenous gadolinium-based contrast agent is contraindicated in pregnancy and in women with renal impairment or contrast material allergy contrast. Thus, there is a need to develop a more safe and cost-effective supplemental imaging modality for screening breast cancer. Diffusion-weighted (DW) MRI is a fast, functional modality that measures the movement of water molecules to create tissue contrast without the need for contrast injection. Breast malignancies exhibit hindered diffusion and appear hyperintense on DW MRI with low apparent diffusion coefficient (ADC) compared to normal surrounding tissue. A number of studies have shown that the use of DW MRI can significantly reduce the false positives and unnecessary benign biopsy of breast MRI. Several studies have explored how to use DW MRI as a stand-alone tool for breast cancer screening, and recent results have shown that DW MRI is more useful than conventional imaging in detecting small breast cancer. However, most of these studies were retrospective with inconsistent results. Thus, a prospective multicenter study with standardized acquisition and interpretation protocols in a large population is needed to determine the efficacy of DW MRI for breast cancer screening. The purpose of our study is to determine whether DWI improves the performance of preoperative DCE MRI in detecting clinically occult contralateral breast cancers.
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| Measure | Description | Time Frame |
|---|---|---|
| The area under the (receiver operating characteristic) curve (AUC) per lesion and breast level | AUC | 2 year after enrollment |
| Measure | Description | Time Frame |
|---|---|---|
| Sensitivity per lesion and breast level | Number of positive examinations with a tissue diagnosis of cancer within 2 year/All examinations with tissue diagnosis of cancer within the same period | 2 year after enrollment |
| Specificity per lesion and breast level |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with Newly Diagnosed Breast Cancer
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Woo Kyung Moon, MD, PhD | Contact | +82220722584 | moonwk@snu.ac.kr | |
| Su Min Ha, MD, PhD | Contact | +8220724778 | su3ha5@hanmail.net |
| Name | Affiliation | Role |
|---|---|---|
| Woo Kyung Moon, MD, PhD | Seoul National University Hospital | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Seoul National University Hospital | Recruiting | Seoul | South Korea |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 37272245 | Derived | Park VY, Shin HJ, Kang BJ, Kim MJ, Moon WK, Song SE, Ha SM. Diffusion-Weighted Magnetic Resonance Imaging for Preoperative Evaluation of Patients With Breast Cancer: Protocol of a Prospective, Multicenter, Observational Cohort Study. J Breast Cancer. 2023 Jun;26(3):292-301. doi: 10.4048/jbc.2023.26.e18. Epub 2023 Apr 6. |
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| ID | Term |
|---|---|
| D001943 | Breast Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
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Number of negative examinations without tissue diagnosis of cancer within 2 year/All examinations without tissue diagnosis of cancer within the same period |
| 2 year after enrollment |
| Positive Predictive value per lesion and breast level | True positive/True positive + False positive | 2 year after enrollment |
| Characteristics of detected cancers | Tumor size, type, grade, molecular subtype, and lymph node metastasis | 2 year after enrollment |
| D017437 |
| Skin and Connective Tissue Diseases |