Prediction of Upgrade to Invasive Cancer in Patients Diagnosed With Ductal Carcinoma in Situ by Percutaneous Core Needle Biopsy
NCT ID: NCT04498611
Last Updated: 2022-03-14
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
113 participants
INTERVENTIONAL
2020-07-13
2021-08-15
Brief Summary
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Therefore, this study intend to evaluate the effectiveness as a diagnostic tool that can help determine the axillary lymph node surgery by predicting the possibility of post-operative up-staging using magnetic resonance imagings of breast cancer patients who have been identified as ductal carcinoma in situ and are scheduled for surgery.
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Detailed Description
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2. Scheduled MRI tests will be performed on patients enrolled from July 2020, and will be performed using the standard protocols (3T, contrast enhancement and diffuse enhancement images DWI b0,800,1200). Among the MRI images taken, the range of lesions is evaluated in contrast-enhanced T1-highlighted images, and the Apparent Diffusion Coefficient values of the lesions are three-dimensionally mapped using a CAD program and histogram analysis on diffused images. The ADC reference value derived from the retrospective analysis is used to predict prospectively for invasive cancer in all lesions.
3. Mastectomy is performed according to the existing surgical method. Axillary lymph node surgery is determined according to the existing decision method (tumor location, size, range, histological grade, etc.).
Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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breast DCIS patients
Breast DCIS patients who diagnosed by tissue biopsy except excisional biopsy before surgery, and who agreed to taking the breast MRI.
contrast-enhanced breast MRI
Contrast-enhanced MRI will be performed on patients diagnosed with ductal carcinoma in-situ (DCIS) by preoperative biopsy.
Interventions
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contrast-enhanced breast MRI
Contrast-enhanced MRI will be performed on patients diagnosed with ductal carcinoma in-situ (DCIS) by preoperative biopsy.
Eligibility Criteria
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Inclusion Criteria
* Breast Ductal Carcinoma in-situ patients who diagnosed preoperative tissue biopsy
* A person who understands this study and agrees with willingness to participate
Exclusion Criteria
* When there is no lesion that can be discriminated from magnetic resonance imaging
* Neoadjuvant chemotherapy patients
* Patients who have complication (hematoma, abscess etc.) after preoperative biopsy
19 Years
ALL
No
Sponsors
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Seoul National University Hospital
OTHER
Responsible Party
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Hyeong-Gon Moon
associate professor
Principal Investigators
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Hyeong-Gon Moon
Role: STUDY_DIRECTOR
Seoul National University of Medicine
Locations
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Seoul National University Hospital
Seoul, Jongno-gu, South Korea
Countries
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References
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Mori N, Ota H, Mugikura S, Takasawa C, Tominaga J, Ishida T, Watanabe M, Takase K, Takahashi S. Detection of invasive components in cases of breast ductal carcinoma in situ on biopsy by using apparent diffusion coefficient MR parameters. Eur Radiol. 2013 Oct;23(10):2705-12. doi: 10.1007/s00330-013-2902-2. Epub 2013 Jun 4.
Baxter GC, Graves MJ, Gilbert FJ, Patterson AJ. A Meta-analysis of the Diagnostic Performance of Diffusion MRI for Breast Lesion Characterization. Radiology. 2019 Jun;291(3):632-641. doi: 10.1148/radiol.2019182510. Epub 2019 Apr 23.
Surov A, Meyer HJ, Wienke A. Can apparent diffusion coefficient (ADC) distinguish breast cancer from benign breast findings? A meta-analysis based on 13 847 lesions. BMC Cancer. 2019 Oct 15;19(1):955. doi: 10.1186/s12885-019-6201-4.
Lamb LR, Lehman CD, Oseni TO, Bahl M. Ductal Carcinoma In Situ (DCIS) at Breast MRI: Predictors of Upgrade to Invasive Carcinoma. Acad Radiol. 2020 Oct;27(10):1394-1399. doi: 10.1016/j.acra.2019.09.025. Epub 2019 Nov 4.
Lee KH, Han JW, Kim EY, Yun JS, Park YL, Park CH. Predictive factors for the presence of invasive components in patients diagnosed with ductal carcinoma in situ based on preoperative biopsy. BMC Cancer. 2019 Dec 10;19(1):1201. doi: 10.1186/s12885-019-6417-3.
Borlinhas F, Conceicao RC, Ferreira HA. Optimal b-values for diffusion kurtosis imaging in invasive ductal carcinoma versus ductal carcinoma in situ breast lesions. Australas Phys Eng Sci Med. 2019 Sep;42(3):871-885. doi: 10.1007/s13246-019-00773-2. Epub 2019 Jul 18.
Other Identifiers
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2004-219-1119
Identifier Type: -
Identifier Source: org_study_id
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