- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04882371
Comparison of MRI With PET / CT in the Evaluation of Response to Neoadjuvant Therapy Based on the Molecular Subtypes of Breast Cancer
May 8, 2021 updated by: Cem Ilgin Erol
The current study aims to determine the diagnostic accuracy of Magnetic Resonance Imaging (MRI) and Positron Emission Tomography- Computed Tomography (PET-CT) in predicting a pathological response of molecular subtypes of breast cancer to neoadjuvant chemotherapy (NAC).
Study Overview
Status
Completed
Conditions
Detailed Description
Eighty-eight patients with breast cancer who had undergone surgery after NAC were retrospectively analyzed between January 2018 and May 2020, at the general surgery clinic of Istanbul Medeniyet University Göztepe Training and Research Hospital.
Demographic data, clinical findings, tumor markers, radiologic findings and pathology data were documented.
With the use of MRI and / or PET-CT obtained before and after NAC, tumor staging was performed, and tumor size and the presence of metastatic lymph nodes and radiological response to NAC were evaluated.
The response to NAC was evaluated according to the Response Evaluation Criteria in Solid Tumors (RECIST) and contrast enhancement patterns described by Tozaki et al. on MRI, and the classification PET Response Criteria in Solid Tumors (PERCIST) on PET-CT.
The postoperative pathology study reported the followings: the size and histopathologic type of the tumor, its hormone receptor status, staining intensities (Allred score), HER-2 positivity, Ki-67 proliferation percentages, and the molecular subtypes; the presence and number of metastatic lymph nodes, the response of the tumor and, the metastatic lymph node, if any, to NAC according to the Sataloff classification.
Patients with a Sataloff score of "A" were considered to have a pCR, those with the scores of "B" or "C" were considered to have a partial response.
When examining the Sataloff scores, the presence of pCR in both the primary tumor and axilla was evaluated and compared with the presence of radiological complete response on MRI and / or PET-CT.
In addition, the sensitivities of MRI and PET-CT in predicting pCR in patients undergoing NAC were statistically compared based on the molecular subtypes.
Patients whose MRI and PET-CT findings were consistent with histopathologic data were included in the "Radiology-Pathology agreement " group.
The sensitivity of imaging methods was determined by examining the rates of agreement in the molecular subgroups.
The Statistical Package for Social Sciences software for Windows version 20 (SPSS Inc.; Chicago, IL, USA) was used for all analyses.
Normality was assessed by the Shapiro-Wilk test.
Categorical variables were compared using chi-square or, where appropriate, Fisher's exact test.
The Mc-Nemar test was used for paired categorical data.
Trends in tables larger than 2x2 were examined with the linear-by-linear association test.
Kruskal-Wallis test was used to compare non-normal distributed variables in three groups.
Cohen's kappa (κ) was calculated to test the agreement between the classifications of radiology and pathology.
Study Type
Observational
Enrollment (Actual)
88
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Kadikoy
-
Istanbul, Kadikoy, Turkey, 34100
- Istanbul Medeniyet University Goztepe City Hospital
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
Female
Sampling Method
Non-Probability Sample
Study Population
Patients with breast cancer who had undergone surgery after neoadjuvant chemotherapy
Description
Inclusion Criteria:
- Older than 18
- Breast cancer patients
- Had neoadjuvant chemotherapy before surgery
- Had undergone surgery after chemotherapy
Exclusion Criteria:
- Younger than 18
- History of surgery for breast cancer
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Retrospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
MRI RECIST
Radiological responses were evaluated according to the Response Evaluation Criteria in Solid Tumors (RECIST) and changes in contrast enhancement patterns on MRI
|
Neoadjuvant Chemotherapy for Breast Cancer
Performed contrasted MRI for evaluate response of neoadjuvant chemotherapy
|
PET-CT PERCIST
Radiological responses were evaluated according to the classification of PET Response Criteria in Solid Tumors (PERCIST) on PET-CT.
|
Neoadjuvant Chemotherapy for Breast Cancer
Performed contrasted PET-CT for evaluate response of neoadjuvant chemotherapy
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Radiological evaluation of response to neoadjuvant chemotheraphy for breast cancer
Time Frame: 2 months
|
All patient had neoadjuvant chemotherapy, then a group of patient evaluated with MRI and the other group of patient with PET-CT
|
2 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Pathological evaluation of response to neoadjuvant chemotheraphy for breast cancer
Time Frame: 2 months
|
Surgery was performed for all patient after neoadjuvant chemotherapy.
Pathological datas were analyzed
|
2 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
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- World Health Organization, Fact Sheets, Detail, Cancer. https://www.who.int/news-room/fact-sheets/detail/cancer
- International Agency for Research on Cancer, Globocan 2018 Report. https://www.uicc.org/news/global-cancer-data-globocan-2018
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- Cardoso F, Costa A, Norton L, Senkus E, Aapro M, André F, Barrios CH, Bergh J, Biganzoli L, Blackwell KL, Cardoso MJ, Cufer T, El Saghir N, Fallowfield L, Fenech D, Francis P, Gelmon K, Giordano SH, Gligorov J, Goldhirsch A, Harbeck N, Houssami N, Hudis C, Kaufman B, Krop I, Kyriakides S, Lin UN, Mayer M, Merjaver SD, Nordström EB, Pagani O, Partridge A, Penault-Llorca F, Piccart MJ, Rugo H, Sledge G, Thomssen C, Van't Veer L, Vorobiof D, Vrieling C, West N, Xu B, Winer E; European School of Oncology; European Society of Medical Oncology. ESO-ESMO 2nd international consensus guidelines for advanced breast cancer (ABC2). Breast. 2014 Oct;23(5):489-502. doi: 10.1016/j.breast.2014.08.009. Epub 2014 Sep 20.
- Cortazar P, Zhang L, Untch M, Mehta K, Costantino JP, Wolmark N, Bonnefoi H, Cameron D, Gianni L, Valagussa P, Swain SM, Prowell T, Loibl S, Wickerham DL, Bogaerts J, Baselga J, Perou C, Blumenthal G, Blohmer J, Mamounas EP, Bergh J, Semiglazov V, Justice R, Eidtmann H, Paik S, Piccart M, Sridhara R, Fasching PA, Slaets L, Tang S, Gerber B, Geyer CE Jr, Pazdur R, Ditsch N, Rastogi P, Eiermann W, von Minckwitz G. Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis. Lancet. 2014 Jul 12;384(9938):164-72. doi: 10.1016/S0140-6736(13)62422-8. Epub 2014 Feb 14. Erratum In: Lancet. 2019 Mar 9;393(10175):986.
- Rastogi P, Anderson SJ, Bear HD, Geyer CE, Kahlenberg MS, Robidoux A, Margolese RG, Hoehn JL, Vogel VG, Dakhil SR, Tamkus D, King KM, Pajon ER, Wright MJ, Robert J, Paik S, Mamounas EP, Wolmark N. Preoperative chemotherapy: updates of National Surgical Adjuvant Breast and Bowel Project Protocols B-18 and B-27. J Clin Oncol. 2008 Feb 10;26(5):778-85. doi: 10.1200/JCO.2007.15.0235. Erratum In: J Clin Oncol. 2008 Jun 1;26(16):2793.
- Abedi M, Farrokh D, Shandiz Homaei F, Joulaee A, Anbiaee R, Zandi B, Gity M, Sayah HR, Abedi MS. The validity of MRI in evaluation of tumor response to neoadjuvant chemotherapy in locally advanced breast cancer. Iran J Cancer Prev. 2013 Winter;6(1):28-35.
- Gonzalez-Angulo AM, Morales-Vasquez F, Hortobagyi GN. Overview of resistance to systemic therapy in patients with breast cancer. Adv Exp Med Biol. 2007;608:1-22. Review.
- Wang H, Mao X. Evaluation of the Efficacy of Neoadjuvant Chemotherapy for Breast Cancer. Drug Des Devel Ther. 2020 Jun 18;14:2423-2433. doi: 10.2147/DDDT.S253961. eCollection 2020.
- Dhillon GS, Bell N, Ginat DT, Levit A, Destounis S, O'Connell A. Breast MR Imaging: What the Radiologist Needs to Know. J Clin Imaging Sci. 2011;1:48. doi: 10.4103/2156-7514.85655. Epub 2011 Oct 3.
- Nunes LW, Schnall MD, Orel SG, Hochman MG, Langlotz CP, Reynolds CA, Torosian MH. Correlation of lesion appearance and histologic findings for the nodes of a breast MR imaging interpretation model. Radiographics. 1999 Jan-Feb;19(1):79-92. doi: 10.1148/radiographics.19.1.g99ja0379.
- Rausch DR, Hendrick RE. How to optimize clinical breast MR imaging practices and techniques on Your 1.5-T system. Radiographics. 2006 Sep-Oct;26(5):1469-84. doi: 10.1148/rg.265055176.
- Tozaki M, Kobayashi T, Uno S, Aiba K, Takeyama H, Shioya H, Tabei I, Toriumi Y, Suzuki M, Fukuda K. Breast-conserving surgery after chemotherapy: value of MDCT for determining tumor distribution and shrinkage pattern. AJR Am J Roentgenol. 2006 Feb;186(2):431-9.
- Kim TH, Kang DK, Yim H, Jung YS, Kim KS, Kang SY. Magnetic resonance imaging patterns of tumor regression after neoadjuvant chemotherapy in breast cancer patients: correlation with pathological response grading system based on tumor cellularity. J Comput Assist Tomogr. 2012 Mar-Apr;36(2):200-6. doi: 10.1097/RCT.0b013e318246abf3.
- Hegarty C, Collins CD. PET/CT and breast cancer. Cancer Imaging. 2010 Oct 4;10 Spec no A(1A):S59-62. doi: 10.1102/1470-7330.2010.9031.
- Park SH, Moon WK, Cho N, Chang JM, Im SA, Park IA, Kang KW, Han W, Noh DY. Comparison of diffusion-weighted MR imaging and FDG PET/CT to predict pathological complete response to neoadjuvant chemotherapy in patients with breast cancer. Eur Radiol. 2012 Jan;22(1):18-25. doi: 10.1007/s00330-011-2236-x. Epub 2011 Aug 16.
- Basu S, Chen W, Tchou J, Mavi A, Cermik T, Czerniecki B, Schnall M, Alavi A. Comparison of triple-negative and estrogen receptor-positive/progesterone receptor-positive/HER2-negative breast carcinoma using quantitative fluorine-18 fluorodeoxyglucose/positron emission tomography imaging parameters: a potentially useful method for disease characterization. Cancer. 2008 Mar 1;112(5):995-1000. doi: 10.1002/cncr.23226.
- Spring LM, Fell G, Arfe A, Sharma C, Greenup R, Reynolds KL, Smith BL, Alexander B, Moy B, Isakoff SJ, Parmigiani G, Trippa L, Bardia A. Pathologic Complete Response after Neoadjuvant Chemotherapy and Impact on Breast Cancer Recurrence and Survival: A Comprehensive Meta-analysis. Clin Cancer Res. 2020 Jun 15;26(12):2838-2848. doi: 10.1158/1078-0432.CCR-19-3492. Epub 2020 Feb 11.
- Boughey JC, McCall LM, Ballman KV, Mittendorf EA, Ahrendt GM, Wilke LG, Taback B, Leitch AM, Flippo-Morton T, Hunt KK. Tumor biology correlates with rates of breast-conserving surgery and pathologic complete response after neoadjuvant chemotherapy for breast cancer: findings from the ACOSOG Z1071 (Alliance) Prospective Multicenter Clinical Trial. Ann Surg. 2014 Oct;260(4):608-14; discussion 614-6. doi: 10.1097/SLA.0000000000000924.
- Resende U, Cabello C, Oliveira Botelho Ramalho S, Zeferino LC. Predictors of Pathological Complete Response in Women with Clinical Complete Response to Neoadjuvant Chemotherapy in Breast Carcinoma. Oncology. 2018;95(4):229-238. doi: 10.1159/000489785. Epub 2018 Jul 19.
- Tang S, Xiang C, Yang Q. The diagnostic performance of CESM and CE-MRI in evaluating the pathological response to neoadjuvant therapy in breast cancer: a systematic review and meta-analysis. Br J Radiol. 2020 Aug;93(1112):20200301. doi: 10.1259/bjr.20200301. Epub 2020 Jul 2.
- Tateishi U, Miyake M, Nagaoka T, Terauchi T, Kubota K, Kinoshita T, Daisaki H, Macapinlac HA. Neoadjuvant chemotherapy in breast cancer: prediction of pathologic response with PET/CT and dynamic contrast-enhanced MR imaging--prospective assessment. Radiology. 2012 Apr;263(1):53-63. doi: 10.1148/radiol.12111177.
- Jones EF, Hathi DK, Freimanis R, Mukhtar RA, Chien AJ, Esserman LJ, Van't Veer LJ, Joe BN, Hylton NM. Current Landscape of Breast Cancer Imaging and Potential Quantitative Imaging Markers of Response in ER-Positive Breast Cancers Treated with Neoadjuvant Therapy. Cancers (Basel). 2020 Jun 9;12(6). pii: E1511. doi: 10.3390/cancers12061511. Review.
- Han S, Choi JY. Prognostic value of 18F-FDG PET and PET/CT for assessment of treatment response to neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis. Breast Cancer Res. 2020 Oct 31;22(1):119. doi: 10.1186/s13058-020-01350-2.
- Wang Y, Zhang C, Liu J, Huang G. Is 18F-FDG PET accurate to predict neoadjuvant therapy response in breast cancer? A meta-analysis. Breast Cancer Res Treat. 2012 Jan;131(2):357-69. doi: 10.1007/s10549-011-1780-z. Epub 2011 Sep 30.
- An YY, Kim SH, Kang BJ, Lee AW. Treatment Response Evaluation of Breast Cancer after Neoadjuvant Chemotherapy and Usefulness of the Imaging Parameters of MRI and PET/CT. J Korean Med Sci. 2015 Jun;30(6):808-15. doi: 10.3346/jkms.2015.30.6.808. Epub 2015 May 13. Erratum in: J Korean Med Sci. 2015 Dec;30(12):1924.
- Rouzier R, Perou CM, Symmans WF, Ibrahim N, Cristofanilli M, Anderson K, Hess KR, Stec J, Ayers M, Wagner P, Morandi P, Fan C, Rabiul I, Ross JS, Hortobagyi GN, Pusztai L. Breast cancer molecular subtypes respond differently to preoperative chemotherapy. Clin Cancer Res. 2005 Aug 15;11(16):5678-85. doi: 10.1158/1078-0432.CCR-04-2421.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
January 1, 2018
Primary Completion (Actual)
May 1, 2020
Study Completion (Actual)
August 1, 2020
Study Registration Dates
First Submitted
May 8, 2021
First Submitted That Met QC Criteria
May 8, 2021
First Posted (Actual)
May 11, 2021
Study Record Updates
Last Update Posted (Actual)
May 11, 2021
Last Update Submitted That Met QC Criteria
May 8, 2021
Last Verified
May 1, 2021
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2020-0327
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
No
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
product manufactured in and exported from the U.S.
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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