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Objectives:
Our study is conducted to use the pre-treatment Fluorocholine (FCH) Positron emission tomography/magnetic resonance (PET/MR) imaging in breast cancer patients, to investigate whether the conventional PET/MR imaging markers (maximum standardized uptake value [SUVmax], MR spectroscopy-derived choline analysis, dynamic contrast-enhanced MRI, apparent diffusion coefficient [ADC] analysis), and FCH PET/MR radiomic features, deep learning (DL) analysis are associated with molecular subtypes, clinical outcomes, treatment response, survival, and which parameters are more accurate for predictive purposes.
Primary study purposes:
-To investigate whether the pre-treatment FCH PET/MR imaging parameters are associated with molecular subtypes of breast cancers, and to evaluate the diagnostic performance for predictive purposes.
Secondary study purposes:
-To investigate whether the pre-treatment FCH PET/MR imaging parameters are associated with the factors related to clinical outcomes (histologic grade, prognosis) and to analyze which parameters are more accurate for predictive purposes.
Test drug:
Name: 18F- Fluorocholine (18F-FCH) Dosage form: N-([18F]fluoromethyl)-2-hydroxy-N,N-dimethylethan-1-aminium Strength: 3-5 MBq/kg per patient (5-6 mCi/mL at time of injection (TOI)) Dosage and administration: Intravenous injection.fluoromethyl
Selection criteria:
Study steps / procedures:
(1). The participant will undergo NPO for at least 6 hours before the examination.
(2). After intravenous injection of 5-6 mCi 18F- Fluorodeoxyglucose (FDG), the participant will rest for approximately 60 minutes, followed by a 20-25-minute whole-body PET/MR examination. FDG is a commercially available PET tracer approved for clinical diagnosis.
3. PET/MR of the breast:
4. The whole-body FDG PET/MR, and the breast FCH PET/MR will be performed on different days (interval of at least 2 days).
5. The study results will be interpreted by board certified diagnostic radiologists and nuclear medicine physicians, and relayed to the patient's physicians for reference of clinical management.
6. The radiation dose (effective dose equivalent, EDE) of a whole-body FDG PET/MR measures about 6.6 millisievert [mSv], the EDE of a FCH breast PET/MR measures about 3.85 mSv, totally about 10.45 mSv, which is relatively equivalent to that of a chest CT scan (without and with contrast, 10.8 mSv), resulting in a very low estimated risk of secondary cancer (about 5/10000 to 7/10000). Most of the radioactivity from FDG and FCH will decay naturally, and only a minimal portion will be excreted through the urinary and hepatobiliary systems.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Single arm | Women diagnosed with breast cancer by pathological diagnosis from core biopsy within 3 months and who will receive neoadjuvant chemotherapy (NAC) before surgery; or women with pathologically proven breast cancer within 3 months who will undergo surgery (without preoperative neoadjuvant chemotherapy). |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| PET-MRI (PET/MR) | Diagnostic Test |
|
| Measure | Description | Time Frame |
|---|---|---|
| Association Between Pre-treatment FCH PET/MR Parameters and Molecular Subtypes of Breast Cancer | To evaluate the association between pre-treatment FCH PET/MR imaging parameters and molecular subtypes of breast cancer, as well as their predictive diagnostic performance. | From enrollment to the end of study (follow up) at least 40 weeks. |
| Measure | Description | Time Frame |
|---|---|---|
| To investigate whether the pre-treatment FCH PET/MR imaging parameters are associated with the factors related to clinical outcomes (histologic grade, prognosis) and to analyze which parameters are more accurate for predictive purposes. | The results to be predicted, including: clinical outcomes (histologic grade, recurrence rate (at 1, 2, 5 years after surgery), survival (5-year overall survival and disease/recurrence-free survival). |
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Inclusion Criteria:
Exclusion Criteria:
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The study is conducted to use the pre-treatment FCH PET/MR in breast cancer patients, to investigate whether the conventional PET/MR imaging markers (SUVmax, MR spectroscopy-derived choline analysis, dynamic contrast-enhanced MRI, ADC analysis), and FCH PET/MR radiomic features, deep learning (DL) analysis are associated with molecular subtypes, clinical outcomes, treatment response, survival, and which parameters are more accurate for predictive purposes.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Jane Wang, M.D. | Contact | +886938591583 | jwang2@vghtpe.gov.tw |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Taipei Veterans General Hospital | Recruiting | Taipei | Taiwan | 11217 | Taiwan |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 30291656 | Background | Pujara AC, Kim E, Axelrod D, Melsaether AN. PET/MRI in Breast Cancer. J Magn Reson Imaging. 2019 Feb;49(2):328-342. doi: 10.1002/jmri.26298. Epub 2018 Oct 6. | |
| 26115367 | Background | Grueneisen J, Nagarajah J, Buchbender C, Hoffmann O, Schaarschmidt BM, Poeppel T, Forsting M, Quick HH, Umutlu L, Kinner S. Positron Emission Tomography/Magnetic Resonance Imaging for Local Tumor Staging in Patients With Primary Breast Cancer: A Comparison With Positron Emission Tomography/Computed Tomography and Magnetic Resonance Imaging. Invest Radiol. 2015 Aug;50(8):505-13. doi: 10.1097/RLI.0000000000000197. |
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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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|
| From enrollment, at least about 40 weeks (until the completion of chemotherapy, or when the surgical pathology comes out). |
| 28600647 | Background | Goorts B, Voo S, van Nijnatten TJA, Kooreman LFS, de Boer M, Keymeulen KBMI, Aarnoutse R, Wildberger JE, Mottaghy FM, Lobbes MBI, Smidt ML. Hybrid 18F-FDG PET/MRI might improve locoregional staging of breast cancer patients prior to neoadjuvant chemotherapy. Eur J Nucl Med Mol Imaging. 2017 Oct;44(11):1796-1805. doi: 10.1007/s00259-017-3745-x. Epub 2017 Jun 10. |
| 30267154 | Background | Botsikas D, Bagetakos I, Picarra M, Da Cunha Afonso Barisits AC, Boudabbous S, Montet X, Lam GT, Mainta I, Kalovidouri A, Becker M. What is the diagnostic performance of 18-FDG-PET/MR compared to PET/CT for the N- and M- staging of breast cancer? Eur Radiol. 2019 Apr;29(4):1787-1798. doi: 10.1007/s00330-018-5720-8. Epub 2018 Sep 28. |
| 28678576 | Background | Jena A, Taneja S, Singh A, Negi P, Sarin R, Das PK, Singhal M. Reliability of 18F-FDG PET Metabolic Parameters Derived Using Simultaneous PET/MRI and Correlation With Prognostic Factors of Invasive Ductal Carcinoma: A Feasibility Study. AJR Am J Roentgenol. 2017 Sep;209(3):662-670. doi: 10.2214/AJR.16.17766. Epub 2017 Jul 5. |
| 29101445 | Background | Cho N, Im SA, Cheon GJ, Park IA, Lee KH, Kim TY, Kim YS, Kwon BR, Lee JM, Suh HY, Suh KJ. Integrated 18F-FDG PET/MRI in breast cancer: early prediction of response to neoadjuvant chemotherapy. Eur J Nucl Med Mol Imaging. 2018 Mar;45(3):328-339. doi: 10.1007/s00259-017-3849-3. Epub 2017 Nov 4. |
| 28481792 | Background | Wang J, Shih TT, Yen RF. Multiparametric Evaluation of Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer Using Integrated PET/MR. Clin Nucl Med. 2017 Jul;42(7):506-513. doi: 10.1097/RLU.0000000000001684. |
| 27853751 | Background | Li H, Zhu Y, Burnside ES, Huang E, Drukker K, Hoadley KA, Fan C, Conzen SD, Zuley M, Net JM, Sutton E, Whitman GJ, Morris E, Perou CM, Ji Y, Giger ML. Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set. NPJ Breast Cancer. 2016;2:16012. doi: 10.1038/npjbcancer.2016.12. Epub 2016 May 11. |
| 27144536 | Background | Li H, Zhu Y, Burnside ES, Drukker K, Hoadley KA, Fan C, Conzen SD, Whitman GJ, Sutton EJ, Net JM, Ganott M, Huang E, Morris EA, Perou CM, Ji Y, Giger ML. MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays. Radiology. 2016 Nov;281(2):382-391. doi: 10.1148/radiol.2016152110. Epub 2016 May 5. |
| 26835491 | Background | Guo W, Li H, Zhu Y, Lan L, Yang S, Drukker K, Morris E, Burnside E, Whitman G, Giger ML, Ji Y; Tcga Breast Phenotype Research Group. Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data. J Med Imaging (Bellingham). 2015 Oct;2(4):041007. doi: 10.1117/1.JMI.2.4.041007. Epub 2015 Sep 23. |
| D017437 |
| Skin and Connective Tissue Diseases |