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Review ArticleContinuing Education

Evaluation of Gynecologic Cancer with MR Imaging, 18F-FDG PET/CT, and PET/MR Imaging

Susanna I. Lee, Onofrio A. Catalano and Farrokh Dehdashti
Journal of Nuclear Medicine March 2015, 56 (3) 436-443; DOI: https://doi.org/10.2967/jnumed.114.145011
Susanna I. Lee
1Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
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Onofrio A. Catalano
2Department of Radiology, University of Naples Parthenope and SDN Istituto Ricerca Diagnostica Nucleare, Naples, Italy
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Farrokh Dehdashti
3Department of Nuclear Medicine, Mallinckrodt Institute of Radiology, Washington University, St. Louis, Missouri
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  • FIGURE 1.
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    FIGURE 1.

    MR imaging of cervical cancer with parametrial extension. Fast spin echo T2-weighted sagittal image (A) shows 4.3-cm solid intermediate-signal tumor (star) that, on axial image (B), invades radially out of cervix into adjacent right parametria (arrowhead).

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    FIGURE 2.

    18F-FDG PET of cervical cancer lymphadenopathy. Anterior (A) and posterior (B) reprojection images demonstrate intense tracer uptake within known primary cervical carcinoma (long arrow) and right pelvic lymph node metastases (short arrows).

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    FIGURE 3.

    18F-FDG PET/CT of recurrent endometrial cancer. Coronal PET image (A) demonstrates focus of uptake in mid abdomen (arrow) corresponding to normal-sized paraaortic node (arrow) on diagnostic CT (B). Biopsy confirmed recurrent tumor.

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    FIGURE 4.

    MR imaging of peritoneal carcinomatosis from ovarian cancer. Tumor nodules (arrows) are of intermediate signal intensity on axial fast spin echo T2-weighted image (A) but are much more conspicuous and bright on diffusion-weighted image (B).

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    FIGURE 5.

    Whole-body DWI (A) and 18F-FDG PET (B) images of patient with endometrial cancer recurrence in retroperitoneal node invading adjacent vertebra (arrow).

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    FIGURE 6.

    PET/MR imaging of cervical cancer with lymphadenopathy. Axial 18F-FDG PET image (A) and diffusion-weighted image (B) show 18F-FDG–avid and diffusion-restricted primary tumor (star) and right pelvic lymph node metastasis (arrowhead) confirmed pathologically. Node was normal by size criteria (not shown).

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    FIGURE 7.

    PET/MR imaging of liver metastasis from endometrial cancer. Axial T2-weighted image (A) shows 5-mm lesion (arrowhead) conspicuous on MR image but not on corresponding 18F-FDG PET image (B). Lesion decreased in size with chemotherapy.

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    TABLE 1

    Imaging in Tumor Assessment Preceding and Following Primary Therapy

    ParameterMR imaging18F-FDG PET/CT
    Uterine cervical cancer: pretreatment
     Early detectionPoorPoor
     Differential diagnosis (benign vs. malignant)PossiblePoor
     Extent of tumor spread
       Tumor sizeBestPoor
       Endocervical margin distanceBestPoor
       Parametrial involvementBestPossible
       Lower-third-of-vagina involvementPossiblePoor
       Pelvic sidewall involvementPossiblePossible
       HydronephrosisPossiblePossible
       Bladder mucosal involvementPossiblePoor
       Rectal mucosal involvementPossiblePoor
       Pelvic and paraaortic lymphadenopathyPossibleBest
       Distant metastases (lymph nodes and bone)PossibleBest
       Distant metastases (liver)BestPossible
       Distant metastases (lung)PoorPossible
    Uterine cervical cancer: posttreatment
     Local or regional surveillance or suspected recurrenceBestPossible
     Whole-body surveillance or suspected recurrencePossibleBest
    Uterine endometrial cancer: pretreatment
     Early detectionPoorPoor
     Differential diagnosis (benign vs. malignant)PossiblePossible
     Extent of tumor spread
       Greater than half thickness of myometrium extensionBestPossible
       Cervical stromal involvementBestPossible
       Uterine serosal or adnexal involvementBestPossible
       Vaginal or parametrial involvementBestPossible
       Pelvic and paraaortic adenopathyPossibleBest
       Bladder mucosal involvementPossiblePoor
       Bowel mucosal involvementPossiblePoor
       Distant metastases (lymph nodes and bone)PossibleBest
       Distant metastases (liver)BestPossible
       Distant metastases (lung)PoorPossible
    Uterine endometrial cancer: posttreatment
     Local surveillance or suspected recurrenceBestPossible
     Whole-body surveillance or suspected recurrencePossibleBest
    Ovarian cancer: pretreatment
     Early detectionPoorPoor
     Differential diagnosis (benign vs. malignant)BestPoor
     Extent of tumor spread
       Ovary confinedBestPoor
       Pelvis confinedPossiblePossible
       Abdominal involvementPossiblePossible
       Retroperitoneal adenopathyPossibleBest
       Peritoneal or pleural effusionPossiblePoor
       Distant metastases (lymph nodes and bone)PossibleBest
       Distant metastases (intraparenchymal liver)BestPossible
       Distant metastases (lung)PoorPossible
    Ovarian cancer: posttreatment
     Local or regional surveillance or suspected recurrenceBestPossible
     Whole-body surveillance or suspected recurrencePossibleBest
    • Poor = poor modality choice or insufficient data; best = best modality choice; possible = possible modality choice.

    • Comparative assessment of modality includes clinical options, such as pelvic examination and optical imaging (e.g., colposcopy, cystoscopy, or proctoscopy), with biopsy.

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    TABLE 2

    Diagnostic Performance in Detection of Lymphadenopathy from Uterine Cancer

    ModalitySensitivitySpecificity
    CT, cervical (5,9)31%–57%92%–97%
    CT, endometrial (22)28%–64%78%–94%
    MR imaging, cervical (5,9)37%–55%93%–94%
    MR imaging, endometrial (20,22)59%–72%93%–97%
    PET/CT, cervical (7,8)72%–75%96%–100%
    PET/CT, endometrial (20,21)74%–77%93%–100%

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Journal of Nuclear Medicine: 56 (3)
Journal of Nuclear Medicine
Vol. 56, Issue 3
March 1, 2015
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Evaluation of Gynecologic Cancer with MR Imaging, 18F-FDG PET/CT, and PET/MR Imaging
Susanna I. Lee, Onofrio A. Catalano, Farrokh Dehdashti
Journal of Nuclear Medicine Mar 2015, 56 (3) 436-443; DOI: 10.2967/jnumed.114.145011

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Evaluation of Gynecologic Cancer with MR Imaging, 18F-FDG PET/CT, and PET/MR Imaging
Susanna I. Lee, Onofrio A. Catalano, Farrokh Dehdashti
Journal of Nuclear Medicine Mar 2015, 56 (3) 436-443; DOI: 10.2967/jnumed.114.145011
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  • Article
    • Abstract
    • UTERINE CERVICAL CANCER
    • UTERINE ENDOMETRIAL CANCER
    • OVARIAN CANCER
    • MR IMAGING TECHNOLOGIES IN DEVELOPMENT
    • PET TRACERS IN DEVELOPMENT
    • PET/MR
    • CONCLUSION
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