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Endometrial cancer (EC) is the most common gynecological malignancy in high-income countries. Prognosis and treatment are dictated by cancer histological subtype and grade coupled with surgical staging as described by Surgical International Federation of Gynecology and Obstetrics (FIGO) staging system. Surgery is the elective standard treatment and used for staging of EC. The purpose of this study is to collect images from a simultaneous PET/MRI study from which to extrapolate a preoperative, non-invasive, prognostic model.
Magnetic resonance imaging (MRI) is the most frequently used imaging tool in preoperative staging of endometrial cancer. FDG-PET has demonstrated higher sensitivity than MRI in detecting nodal involvement and metastatic disease and is currently used in adjunction to MRI. Distinct MRI and FDG-PET parameters correlate well with tumor aggressiveness and can and have been used as prognostic factors. The Investigators believe that the combination of data from these two imaging techniques, from which different derived tumor features can be extrapolated, can stratify patients in high-risk and low-risk groups already preoperatively. The aim of combined techniques is to collect large amounts of data leveraging advantages of both modalities (MR's strengths in local staging and PET's strengths in nodal staging) in a single scan from which to extrapolate a preoperative, non-invasive, prognostic model.
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| Measure | Description | Time Frame |
|---|---|---|
| MRI evaluation | Measure tumor volume and correlate to surgical specimen | 0-2 years |
| MRI imaging | Changes in ADC normale versus tumor myometrium | 0-2 years |
| MRI imaging evaluation | Depth of myometrial invasion | 0-2 years |
| DCE-MRI perfusion parameters | Define tumor perfusion in normal versus tumor myometrium | 0-2 years |
| MRI | positive lymph node evaluation | 0-2 years |
| PET imaging evaluation | PET positive lymph nodes | 0-2 years |
| PET imaging | Tumor/positive lymph node/metastases SUV values | 0-2 years |
| Measure | Description | Time Frame |
|---|---|---|
| Measure tumor angiogenesis | angiogenesis marker, CD1 | 0-2 years |
| Correlate PET and MRI derived functional and morphological parameters with histology | Imaging derived parameters correlated with histopathology |
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Inclusion Criteria:
Exclusion Criteria:
Females patients with endometrial cancer
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Patients with biopsy proven endometrial cancer presenting to the Institution's Gynecology Unit.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Stephanie Steidler, PhD | Contact | +39022643 | 6111 | steidler.stephanie@hsr.it |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| IRCCS Ospedale San Raffaele | Recruiting | Milan | 20153 | Italy |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 22349717 | Background | Kitajima K, Kita M, Suzuki K, Senda M, Nakamoto Y, Sugimura K. Prognostic significance of SUVmax (maximum standardized uptake value) measured by [(1)(8)F]FDG PET/CT in endometrial cancer. Eur J Nucl Med Mol Imaging. 2012 May;39(5):840-5. doi: 10.1007/s00259-011-2057-9. Epub 2012 Feb 17. | |
| 20130510 | Background |
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| ID | Term |
|---|---|
| D016889 | Endometrial Neoplasms |
| D009369 | Neoplasms |
| ID | Term |
|---|---|
| D014594 | Uterine Neoplasms |
| D005833 | Genital Neoplasms, Female |
| D014565 | Urogenital Neoplasms |
| D009371 | Neoplasms by Site |
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Surgically removed endometrium and lymphnodes
| 0-5 years |
| Nakamura K, Kodama J, Okumura Y, Hongo A, Kanazawa S, Hiramatsu Y. The SUVmax of 18F-FDG PET correlates with histological grade in endometrial cancer. Int J Gynecol Cancer. 2010 Jan;20(1):110-5. doi: 10.1111/IGC.0b013e3181c3a288. |
| 41595203 | Derived | Bezzi C, Ironi G, Russo T, Candotti G, Fallanca F, Sabini C, Samanes Gajate AM, Ghezzo S, Bergamini A, Sant'Angelo M, Bocciolone L, Brembilla G, Scifo P, Taccagni G, Catalano OA, Mangili G, Candiani M, De Cobelli F, Chiti A, Mapelli P, Picchio M. [18F]FDG PET/MRI in Endometrial Cancer: Prospective Evaluation of Preoperative Staging, Molecular Characterization and Prognostic Assessment. Cancers (Basel). 2026 Jan 16;18(2):280. doi: 10.3390/cancers18020280. |
| D014591 |
| Uterine Diseases |
| D005831 | Genital Diseases, Female |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D000091662 | Genital Diseases |