Abstract
Gynecological malignancies, in particular cervical cancer, are often staged and monitored with a combination of MRI and PET imaging. With hybrid simultaneous systems, there is the potential advantage of improved colocalization and increased imaging efficiency. While there is little evidence as yet, the early studies suggest that PET/MRI performs as well as individual PET/CT and MRI with potential improvements in reader confidence and registration for treatment planning.2-[18F]Fluoro-2-deoxy-D-glucose (FDG) PET/MRI has emerged as another diagnostic tool for gynecological cancer in recent years. PET/MRI combines the unique tissue characterization and functional information of MRI with the quantifiable molecular information provided by PET. There are two major ways in which these imaging modalities are combined or fused, namely, hardware based and retrospective software based. Hardware-based image fusion is performed by means of hybrid scanners, which enable the real-time acquisition and fusion of two different imaging modalities within a single device. Retrospective software-based image fusion relies on dedicated software to fuse two separate imaging datasets, most often from CT or MRI and single-photon emission tomography (SPECT) or PET. This technique, called “image registration,” is used to align both sets of data so that each voxel corresponds to the same anatomical landmarks in both images [1]. Integrated systems place solid-state PET detectors, which are compatible with external magnetic fields, inside the MRI gantry, with further details available in Chapter __. The integrated design allows for simultaneous PET and MRI acquisition with advantages such as reduced scanning time, improved co-registration, and simultaneous imaging of dynamic processes visualized on both PET and MRI [2].
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References
Yankeelov TE, Peterson TE, Abramson RG, et al. Simultaneous PET-MRI in oncology: a solution looking for a problem? Magn Reson Imaging. 2012;30(9):1342–56.
Rosenkrantz AB, Friedman K, Chandarana H, et al. Current status of hybrid PET/MRI in oncologic imaging. AJR Am J Roentgenol. 2016;206(1):162–72.
Ferlay J, Steliarova-Foucher E, Lortet-Tieulent J, et al. Cancer incidence and mortality patterns in Europe: estimates for 40 countries in 2012. Eur J Cancer. 2013;49(6):1374–403.
van Meir H, Kenter GG, Burggraaf J, et al. The need for improvement of the treatment of advanced and metastatic cervical cancer, the rationale for combined chemo-immunotherapy. Anti Cancer Agents Med Chem. 2014;14(2):190–203.
Yildirim Y, Sehirali S, Avci ME, et al. Integrated PET/CT for the evaluation of para-aortic nodal metastasis in locally advanced cervical cancer patients with negative conventional CT findings. Gynecol Oncol. 2008;108(1):154–9.
Freeman SJ, Aly AM, Kataoka MY, Addley HC, Reinhold C, Sala E. The revised FIGO staging system for uterine malignancies: implications for MR imaging. Radiographics. 2012;32(6):1805–27.
Amendola MA, Hricak H, Mitchell DG, et al. Utilization of diagnostic studies in the pretreatment evaluation of invasive cervical cancer in the United States: results of intergroup protocol ACRIN 6651/GOG 183. J Clin Oncol. 2005;23(30):7454–9.
Mitchell DG, Snyder B, Coakley F, et al. Early invasive cervical cancer: tumor delineation by magnetic resonance imaging, computed tomography, and clinical examination, verified by pathologic results, in the ACRIN 6651/GOG 183 intergroup study. J Clin Oncol. 2006;24(36):5687–94.
Bourgioti C, Koutoulidis V, Chatoupis K, et al. MRI findings before and after abdominal radical trachelectomy (ART) for cervical cancer: a prospective study and review of the literature. Clin Radiol. 2014;69(7):678–86.
Xue H, Ren C, Yang J, et al. Histogram analysis of apparent diffusion coefficient for the assessment of local aggressiveness of cervical cancer. Arch Gynecol Obstet. 2014;290(2):341–8.
Liu Y, Liu H, Bai X, et al. Differentiation of metastatic from non-metastatic lymph nodes in patients with uterine cervical cancer using diffusion-weighted imaging. Gynecol Oncol. 2011;122(1):19–24.
Sala E, Wakely S, Senior E, Lomas D. MRI of malignant neoplasms of the uterine corpus and cervix. AJR Am J Roentgenol. 2007;188(6):1577–87.
Havrilesky LJ, Kulasingam SL, Matchar DB, Myers ER. FDG-PET for management of cervical and ovarian cancer. Gynecol Oncol. 2005;97(1):183–91.
Choi HJ, Ju W, Myung SK, Kim Y. Diagnostic performance of computer tomography, magnetic resonance imaging, and positron emission tomography or positron emission tomography/computer tomography for detection of metastatic lymph nodes in patients with cervical cancer: meta-analysis. Cancer Sci. 2010;101(6):1471–9.
Sironi S, Buda A, Picchio M, et al. Lymph node metastasis in patients with clinical early-stage cervical cancer: detection with integrated FDG PET/CT. Radiology. 2006;238(1):272–9.
Kidd EA, Thomas M, Siegel BA, Dehdashti F, Grigsby PW. Changes in cervical cancer FDG uptake during chemoradiation and association with response. Int J Radiat Oncol Biol Phys. 2013;85(1):116–22.
Herrera FG, Breuneval T, Prior JO, Bourhis J, Ozsahin M. [(18)F]FDG-PET/CT metabolic parameters as useful prognostic factors in cervical cancer patients treated with chemo-radiotherapy. Radiat Oncol. 2016;11:43.
Testa AC, Di Legge A, De Blasis I, et al. Imaging techniques for the evaluation of cervical cancer. Best Pract Res Clin Obstet Gynaecol. 2014;28(5):741–68.
Mittra E, El-Maghraby T, Rodriguez CA, et al. Efficacy of 18F-FDG PET/CT in the evaluation of patients with recurrent cervical carcinoma. Eur J Nucl Med Mol Imaging. 2009;36(12):1952–9.
Mayr NA, Wang JZ, Zhang D, et al. Longitudinal changes in tumor perfusion pattern during the radiation therapy course and its clinical impact in cervical cancer. Int J Radiat Oncol Biol Phys. 2010;77(2):502–8.
Kitajima K, Suenaga Y, Ueno Y, et al. Fusion of PET and MRI for staging of uterine cervical cancer: comparison with contrast-enhanced (18)F-FDG PET/CT and pelvic MRI. Clin Imaging. 2014;38(4):464–9.
Kim SK, Choi HJ, Park SY, et al. Additional value of MR/PET fusion compared with PET/CT in the detection of lymph node metastases in cervical cancer patients. Eur J Cancer. 2009;45(12):2103–9.
Queiroz MA, Kubik-Huch RA, Hauser N, et al. PET/MRI and PET/CT in advanced gynaecological tumours: initial experience and comparison. Eur Radiol. 2015;25(8):2222–30.
Beiderwellen K, Grueneisen J, Ruhlmann V, et al. [(18)F]FDG PET/MRI vs. PET/CT for whole-body staging in patients with recurrent malignancies of the female pelvis: initial results. Eur J Nucl Med Mol Imaging. 2015;42(1):56–65.
Grueneisen J, Beiderwellen K, Heusch P, et al. Simultaneous positron emission tomography/magnetic resonance imaging for whole-body staging in patients with recurrent gynecological malignancies of the pelvis: a comparison to whole-body magnetic resonance imaging alone. Investig Radiol. 2014;49(12):808–15.
Ho KC, Lin G, Wang JJ, Lai CH, Chang CJ, Yen TC. Correlation of apparent diffusion coefficients measured by 3T diffusion-weighted MRI and SUV from FDG PET/CT in primary cervical cancer. Eur J Nucl Med Mol Imaging. 2009;36(2):200–8.
Baba S, Isoda T, Maruoka Y, et al. Diagnostic and prognostic value of pretreatment SUV in 18F-FDG/PET in breast cancer: comparison with apparent diffusion coefficient from diffusion-weighted MR imaging. J Nucl Med. 2014;55(5):736–42.
Varoquaux A, Rager O, Lovblad KO, et al. Functional imaging of head and neck squamous cell carcinoma with diffusion-weighted MRI and FDG PET/CT: quantitative analysis of ADC and SUV. Eur J Nucl Med Mol Imaging. 2013;40(6):842–52.
Brandmaier P, Purz S, Bremicker K, et al. Simultaneous [18F]FDG-PET/MRI: correlation of apparent diffusion coefficient (ADC) and standardized uptake value (SUV) in primary and recurrent cervical cancer. PLoS One. 2015;10(11):e0141684.
Grueneisen J, Beiderwellen K, Heusch P, et al. Correlation of standardized uptake value and apparent diffusion coefficient in integrated whole-body PET/MRI of primary and recurrent cervical cancer. PLoS One. 2014;9(5):e96751.
Schmidt H, Brendle C, Schraml C, et al. Correlation of simultaneously acquired diffusion-weighted imaging and 2-deoxy-[18F] fluoro-2-D-glucose positron emission tomography of pulmonary lesions in a dedicated whole-body magnetic resonance/positron emission tomography system. Investig Radiol. 2013;48(5):247–55.
Heusch P, Buchbender C, Kohler J, et al. Correlation of the apparent diffusion coefficient (ADC) with the standardized uptake value (SUV) in hybrid 18F-FDG PET/MRI in non-small cell lung cancer (NSCLC) lesions: initial results. Rofo. 2013;185(11):1056–62.
Sun H, Xin J, Zhang S, et al. Anatomical and functional volume concordance between FDG PET, and T2 and diffusion-weighted MRI for cervical cancer: a hybrid PET/MR study. Eur J Nucl Med Mol Imaging. 2014;41(5):898–905.
Sorosky JI. Endometrial cancer. Obstet Gynecol. 2012;120(2 Pt 1):383–97.
Faria SC, Sagebiel T, Balachandran A, Devine C, Lal C, Bhosale PR. Imaging in endometrial carcinoma. Indian J Radiol Imaging. 2015;25(2):137–47.
Wu WJ, Yu MS, Su HY, Lin KS, Lu KL, Hwang KS. The accuracy of magnetic resonance imaging for preoperative deep myometrium assessment in endometrial cancer. Taiwan J Obstet Gynecol. 2013;52(2):210–4.
Peungjesada S, Bhosale PR, Balachandran A, Iyer RB. Magnetic resonance imaging of endometrial carcinoma. J Comput Assist Tomogr. 2009;33(4):601–8.
Rechichi G, Galimberti S, Signorelli M, Perego P, Valsecchi MG, Sironi S. Myometrial invasion in endometrial cancer: diagnostic performance of diffusion-weighted MR imaging at 1.5-T. Eur Radiol. 2010;20(3):754–62.
Rockall AG, Meroni R, Sohaib SA, et al. Evaluation of endometrial carcinoma on magnetic resonance imaging. Int J Gynecol Cancer. 2007;17(1):188–96.
Brunetti J. PET/CT in gynecologic malignancies. Radiol Clin N Am. 2013;51(5):895–911.
Ghooshkhanei H, Treglia G, Sabouri G, Davoodi R, Sadeghi R. Risk stratification and prognosis determination using (18)F-FDG PET imaging in endometrial cancer patients: a systematic review and meta-analysis. Gynecol Oncol. 2014;132(3):669–76.
Kim HJ, Cho A, Yun M, Kim YT, Kang WJ. Comparison of FDG PET/CT and MRI in lymph node staging of endometrial cancer. Ann Nucl Med. 2016;30(2):104–13.
Kitajima K, Yamasaki E, Kaji Y, Murakami K, Sugimura K. Comparison of DWI and PET/CT in evaluation of lymph node metastasis in uterine cancer. World J Radiol. 2012;4(5):207–14.
Kitajima K, Suenaga Y, Ueno Y, et al. Value of fusion of PET and MRI for staging of endometrial cancer: comparison with (1)(8)F-FDG contrast-enhanced PET/CT and dynamic contrast-enhanced pelvic MRI. Eur J Radiol. 2013;82(10):1672–6.
Stecco A, Buemi F, Cassara A, et al. Comparison of retrospective PET and MRI-DWI (PET/MRI-DWI) image fusion with PET/CT and MRI-DWI in detection of cervical and endometrial cancer lymph node metastases. Radiol Med. 2016;121(7):537–45.
Shih IL, Yen RF, Chen CA, et al. Standardized uptake value and apparent diffusion coefficient of endometrial cancer evaluated with integrated whole-body PET/MR: correlation with pathological prognostic factors. J Magn Reson Imaging. 2015;42(6):1723–32.
Siegel RL, Miller KD, Jemal A. Cancer statistics, 2017. CA Cancer J Clin. 2017;67(1):7–30.
Sharma SK, Nemieboka B, Sala E, Lewis JS, Zeglis BM. Molecular imaging of ovarian cancer. J Nucl Med. 2016;57(6):827–33.
Morgan RJ Jr, Alvarez RD, Armstrong DK, et al. Ovarian cancer, version 3.2012. J Natl Compr Cancer Netw. 2012;10(11):1339–49.
Thomassin-Naggara I, Aubert E, Rockall A, et al. Adnexal masses: development and preliminary validation of an MR imaging scoring system. Radiology. 2013;267(2):432–43.
Michielsen K, Vergote I, Op de Beeck K, et al. Whole-body MRI with diffusion-weighted sequence for staging of patients with suspected ovarian cancer: a clinical feasibility study in comparison to CT and FDG-PET/CT. Eur Radiol. 2014;24(4):889–901.
Kim C, Chung HH, Oh SW, Kang KW, Chung JK, Lee DS. Differential diagnosis of borderline ovarian tumors from stage I malignant ovarian tumors using FDG PET/CT. Nucl Med Mol Imaging. 2013;47(2):81–8.
Caobelli F, Alongi P, Evangelista L, et al. Predictive value of (18)F-FDG PET/CT in restaging patients affected by ovarian carcinoma: a multicentre study. Eur J Nucl Med Mol Imaging. 2016;43(3):404–13.
Vallius T, Peter A, Auranen A, et al. 18F-FDG-PET/CT can identify histopathological non-responders to platinum-based neoadjuvant chemotherapy in advanced epithelial ovarian cancer. Gynecol Oncol. 2016;140(1):29–35.
Dehdashti F, Grigsby PW, Lewis JS, Laforest R, Siegel BA, Welch MJ. Assessing tumor hypoxia in cervical cancer by PET with 60Cu-labeled diacetyl-bis(N4-methylthiosemicarbazone). J Nucl Med. 2008;49(2):201–5.
Dehdashti F, Grigsby PW, Mintun MA, Lewis JS, Siegel BA, Welch MJ. Assessing tumor hypoxia in cervical cancer by positron emission tomography with 60Cu-ATSM: relationship to therapeutic response-a preliminary report. Int J Radiat Oncol Biol Phys. 2003;55(5):1233–8.
Pinker K, Andrzejewski P, Baltzer P, et al. Multiparametric [18F]fluorodeoxyglucose/ [18F]fluoromisonidazole positron emission tomography/magnetic resonance imaging of locally advanced cervical cancer for the non-invasive detection of tumor heterogeneity: a pilot study. PLoS One. 2016;11(5):e0155333.
Cho LP, Kim CK, Viswanathan AN. Pilot study assessing (18)F-fluorothymidine PET/CT in cervical and vaginal cancers before and after external beam radiation. Gynecol Oncol Rep. 2015;14:34–7.
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Parent, E., Sanders, V., Dehdashti, F., Fowler, K. (2018). PET/MRI for Gynecological Malignancies. In: Iagaru, A., Hope, T., Veit-Haibach, P. (eds) PET/MRI in Oncology. Springer, Cham. https://doi.org/10.1007/978-3-319-68517-5_18
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DOI: https://doi.org/10.1007/978-3-319-68517-5_18
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