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

Results pending

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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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

113 participants

Study Classification

INTERVENTIONAL

Study Start Date

2020-07-13

Study Completion Date

2021-08-15

Brief Summary

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It is considered that whether or not the accompanying invasive cancer classified through MRI images of breast cancer patients identified as Ductal Carcinoma in situ (DCIS) through preoperative tissue biopsy is significantly consistent with the postoperative stage.

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.

Detailed Description

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1. To date, there is no significant research data on the value of the Apparent Diffusion Coefficient (ADC) that can distinguish between pure Ductal Carcinoma in situ (pure DCIS) and invasive cancer (DCIS-IC), from June 2019 to 2020 1 Of the 144 patients who obtained Diffusion Weighted images (b=0,800,1200) with 3.0-T MRI equipment and diagnosed with ductal carcinoma in situ on the biopsy, among 144 patients who did not undergo preoperative chemotherapy using a CAD program, the 3-dimensional Apparent Diffusion Coefficient value of the tumor is measured and compared with whether or not there is invasive cancer after surgery, and the optimal Apparent Diffusion Coefficient reference value that can predict the invasive cancer will be retrospectively derived.
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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Carcinoma, Ductal, Breast Invasive Breast Cancer IMAGE

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

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.

Group Type EXPERIMENTAL

contrast-enhanced breast MRI

Intervention Type DIAGNOSTIC_TEST

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.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Adult over 19 years-old
* 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

* Ductal Carcinoma in-situ which diagnosed excisional biopsy
* 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
Minimum Eligible Age

19 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Seoul National University Hospital

OTHER

Sponsor Role lead

Responsible Party

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Hyeong-Gon Moon

associate professor

Responsibility Role PRINCIPAL_INVESTIGATOR

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

Site Status

Countries

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South Korea

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.

Reference Type BACKGROUND
PMID: 23732688 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 31012817 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 31615463 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 31699638 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 31822268 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 31321627 (View on PubMed)

Other Identifiers

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2004-219-1119

Identifier Type: -

Identifier Source: org_study_id

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