Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-09T05:41:38.872Z Has data issue: false hasContentIssue false

9 - Diffusion-weighted MRI of female pelvic tumors

Published online by Cambridge University Press:  10 November 2010

Bachir Taouli
Affiliation:
Mount Sinai School of Medicine, New York
Get access

Summary

Introduction

Magnetic resonance imaging (MRI) plays essential roles at every stage in the management of patients with gynecological cancer, from initial diagnosis and lesion characterization, to assessments of treatment effectiveness as well as for the determination of the activity of residual disease and the detection of recurrent active cancer. The limitations of morphological MRI assessments are well documented. For example, the detection of malignant lesions can be difficult particularly when disease burden is small or when disease is intermixed with normal or benign disease processes (e.g., detecting a small endometrial cancer in an endometrial polyp). Similarly, diagnostic accuracy of myometrial invasion by endometrial cancer is impaired particularly in patients with distortions of the endometrial cavity due to congenital abnormalities or fibroids or when there is scarring due to prior surgery. Coincident adenomyosis or a thinned/indistinct junctional zone can also impair assessments of depth of tumor invasion. Lesion characterization can be equally problematic, for example differentiating uterine sarcoma from degenerating leiomyomas or determining the nature of an adnexal mass. Detection and assessment of the activity of residual disease is also problematic for morphology-based imaging; for example, subtle serosal disease due to ovarian carcinoma is easily overlooked. Finally, determining relapsed disease in areas of therapy-induced scarring can be problematic requiring careful comparisons to be made with prior examinations (e.g., it is often difficult to differentiate tumor recurrence from post-surgical/post-radiotherapy fibrosis following pelvic surgery).

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Inada, Y, Matsuki, M, Nakai, G, et al. Body diffusion-weighted MR imaging of uterine endometrial cancer: is it helpful in the detection of cancer in nonenhanced MR imaging?Eur J Radiol 2009;70 (1): 122–7.CrossRefGoogle ScholarPubMed
McVeigh, PZ, Syed, AM, Milosevic, M, Fyles, A, Haider, MA. Diffusion weighted MRI in cervical cancer. Eur Radiol 2008; 18(5):1058–64.CrossRefGoogle ScholarPubMed
Fujii, S, Matsuse, E, Kanasaki, Y, et al. Detection of peritoneal dissemination in gynecological malignancy: evaluation by diffusion-weighted MR imaging. Eur Radiol 2008;18:18CrossRefGoogle ScholarPubMed
Whittaker, CS, Coady, C, Culver, L, et al. Diffusion-weighted MR imaging of female pelvic tumors: a pictorial review. Radiographics 2009;29:759–74.CrossRefGoogle ScholarPubMed
Namimoto, T, Awai, K, Nakaura, T, et al. Role of diffusion-weighted imaging in the diagnosis of gynecological diseases. Eur Radiol 2009;19(3):745–60.CrossRefGoogle Scholar
Tamai, K, Koyama, T, Saga, Tet al. Diffusion-weighted MR imaging of uterine endometrial cancer. J Magn Reson Imag 2007;26:682–7.CrossRefGoogle ScholarPubMed
Weiss, S, Jaermann, T, Schmid, P, et al. Three dimensional fiber architecture of the non pregnant human uterus determined ex vivo using magnetic resonance diffusion tensor imaging. Anat Rec A 2006;228:84–90.CrossRefGoogle Scholar
Schmid, P, Jaermann, T, Boesiger, P, et al. Ventricular myocardial architecture as visualised in postmortem swine hearts using magnetic resonance diffusion tensor imaging. Eur J Cardiothorac Surg 2005;27:468–72.CrossRefGoogle ScholarPubMed
Napadow, VJ, Chen, Q, Mai, V, So, PTC, Gilbert, RJ. Quantitative analysis of three-dimensional-resolved fiber architecture in heterogeneous skeletal muscle tissue using NMR and optical imaging methods. Biophys J 2001;80:2968–75.CrossRefGoogle ScholarPubMed
Tamai, K, Koyama, T, Saga, T, et al. The utility of diffusion-weighted MR imaging for differentiating uterine sarcomas from benign leiomyomas. Eur Radiol 2007;18:723–30.CrossRefGoogle ScholarPubMed
Anstee, A, Scott, F, Culver, L, et al. Diffusion weighted MRI: correlation with tumor grade and stage in endometrial cancer and normal tissue. Cancer Imag 2006;6:158–62.Google Scholar
Naganawa, S, Sato, C, Kumada, H, et al. Apparent diffusion coefficient in cervical cancer of the uterus: comparison with the normal uterine cervix. EurRadiol 2005;15(1):71–8.Google ScholarPubMed
Koh, DM, Collins, DJ. Diffusion-weighted MRI in the body: applications and challenges in oncology. Am J Roentgenol 2007;188(6):1622–35.CrossRefGoogle Scholar
Jemal, A, Murray, T, Ward, E, et al. Cancer statistics, 2005. CA Cancer J Clin 2005;55:10–30.CrossRefGoogle ScholarPubMed
Klinkel, K, Kaji, Y, Yuk, K, et al. Radiological staging in patients with endometrial cancer: a meta-analysis. Radiology 1999;212:711–18.CrossRefGoogle Scholar
Manfredi, R, Gui, B, Maresca, G, Fanfani, F, Bonomo, L. Endometrial cancer: magnetic resonance imaging. Abdom Imag 2005;30:626–36.CrossRefGoogle ScholarPubMed
Yamashita, Y, Harada, M, Sawada, T, et al. Normal uterus and FIGO stage 1 endometiral carcinoma: dynamic gadolinium-enhanced MR imaging. Radiology 1993; 186:495–501.CrossRefGoogle Scholar
Takahashi, S, Murakami, T, Narumi, Y, et al. Preoperative staging of endometrial carcinoma: diagnostic effect of T2-weighted fast spin-echo MR imaging. Radiology 1998;206:539–47.CrossRefGoogle ScholarPubMed
Inada, Y, Matsuki, M, Nakai, G, et al. Body diffusion-weighted MR imaging of uterine endometrial cancer: is it helpful in the detection of cancer in nonenhanced MR imaging?Eur J Radiol 2009;70(1):122–7.CrossRefGoogle ScholarPubMed
Silverberg, SG, Kurman, RJ. Tumors of the uterine corpus and gestational trophoblastic disease. In: Rosai, J, Aovin, I, eds. Atlas of Tumor Pathology, vol 3. Washington, DC: Armed Forces Institution of Pathology; 2002, 113–51.Google Scholar
Fujii, S, Matsusue, E, Kigawa, J, et al. Diagnostic accuracy of the apparent diffusion coefficient in differentiating benign from malignant uterine endometrial cavity lesions: initial results. Eur Radiol 2008;18:384–9.CrossRefGoogle ScholarPubMed
Ohguri, T, Aoki, T, Watanabe, H, et al. MRI findings including gadolinium-enhanced dynamic studies of malignant, mixed, mesodermal tumors of the uterus: differentiation from endometrial carcinoma. Eur Radiol 2002;12:2737–42.Google Scholar
Ueda, H, Togashi, K, Konishi, I, et al. Unusual appearances of uterine leiomyomas: MR imaging findings and their histopathologic backgrounds. Radiographics 1999;19:131–45.CrossRefGoogle ScholarPubMed
Maldjian, JA, Listerud, J, Moonis, G, Siddiqi, F. Computing diffusion rates in T2-dark haematomas and areas of low T2 signal. Am J Neuroradiol 2001;22:112–18.Google ScholarPubMed
Hitwatashi, A, Kinoshita, T, Moritani, T, et al. Hypointensity on diffusion-weighted MRI of brain related to T2 shortening and susceptibility effects. Am J Roentgenol 2003;181:1705–9.CrossRefGoogle Scholar
Shimada, K, Ohashi, I, Kasahara, I, et al. Differentiation between completely hyalinised uterine leiomyomas: three phase dynamic magnetic resonance imaging (MRI) vs. diffusion weighted MRI with very small b-factors. J Magn Reson Imag 2004; 20:97–104.CrossRefGoogle Scholar
Ueda, H, Togashi, K, Konishi, I, et al. Unusual appearances of uterine leiomyomas: MR imaging findings and their histopathologic backgrounds. Radiographics 1999;19:131–45.CrossRefGoogle ScholarPubMed
Kahanpaa, KV, Wahlstrom, T, Grohn, P, et al. Sarcomas of the uterus: a clinicopathologic study of 119 patients. Obstet Gynecol 1986;67:417–24.Google ScholarPubMed
Zaloudek, C, Hendrickson, MR. Mesenchymal tumors of the uterus. In: Kurman, RJ, ed. Blaustein's Pathology of the Female Genital Tract. 5th edn. New York: Springer; 2002, 561–616.Google Scholar
Sahdev, A, Sohaib, SA, Jacobs, I, et al. MR imaging of uterine sarcoma. Am J Roentgenol 2001;177:1307–11.CrossRefGoogle Scholar
Nakayama, T, Yoshimitsu, K, Irie, H, et al. Diffusion weighted echo-planar MR imaging and ADC mapping in the differential diagnosis of ovarian cystic masses: usefulness of detecting keratinoid substancesin mature cystic teratomas. J Magn Reson Imag 2005;22:271–8.CrossRefGoogle ScholarPubMed
Fujii, S, Kakite, S, Nishihara, K, et al. Diagnostic accuracy of diffusion-weighted imaging in differentiating benign from malignant ovarian lesions. J Magn Reson Imag 2008;28:1149–56.CrossRefGoogle ScholarPubMed
Katayama, M, Masui, T, Kobayashi, S, et al. Diffusion-weighted echo planar imaging of ovarian tumors: is it useful to measure apparent diffusion coefficients?J Comput Assist Tomogr 2002;26:250–6.CrossRefGoogle ScholarPubMed
Moteki, T, Ishizaka, H. Diffusion weighted EPI of cystic ovarian lesions: evaluation of cystic contents using apparent diffusion coefficients. J Magn Reson Imag 2000; 12:1014–19.3.0.CO;2-T>CrossRefGoogle ScholarPubMed
Thomassin-Naggara, I, Bazot, M, Darai, E, et al. Epithelial ovarian tumors: value of dynamic contrast-enhanced MR imaging and correlation with tumor angiogenesis. Radiology 2008;248 (1):148–59.CrossRefGoogle ScholarPubMed
Frei, KA, Kinkel, K, Bonél, HM, et al. Prediction of deep myometrial invasion in patients with endometrial cancer: clinical utility of contrast-enhanced MR imaging: a meta-analysis and Bayesian analysis. Radiology 2000;216(2):444–9.CrossRefGoogle ScholarPubMed
Shen, SH, Chiou, YY, Wang, JH, et al. Diffusion-weighted single-shot echo-planar imaging with parallel technique in assessment of endometrial cancer. Am J Roentgenol 2008;190(2):481–8.CrossRefGoogle ScholarPubMed
Lin, G, Ng, K, Chang, C, et al. Myometrial invasion in endometrial cancer: diagnostic accuracy of diffusion-weighted 3.0-T MR imaging: initial experience. Radiology 2009;250:784–92.CrossRefGoogle ScholarPubMed
Tempancy, CM, Zou, KH, Silverman, SG, et al. Staging of advanced ovarian cancer: comparison of imaging modalities: report from the Radiological Diagnostic Oncology Group. Radiology 2000;215:761–7.CrossRefGoogle Scholar
Ricke, J, Sehouli, J, Hach, C, et al. Prospective evaluation of contrast enhanced MRI in the depiction of peritoneal spread in primary or recurrent ovarian cancer. Eur Radiol 2003;13:943–9.Google ScholarPubMed
Tangjitgamol, S, Manusirivithaya, S, Jesadapatarakul, S, Leelahakorn, S, Thawaramara, T. Lymph node size in uterine cancer: a revisit. Int J Gynecol Cancer 2006;16(5):1880–4.CrossRefGoogle ScholarPubMed
Yu, KK, Hricak, H, Subak, LL, Zaloudek, CJ, Powell, CB. Preoperative staging of cervical carcinoma: phased array coil fast spin-echo versus body coil spin-echo T2-weighted MR imaging. Am J Roentgenol 1998;171:707–11.CrossRefGoogle ScholarPubMed
Reinhardt, MJ, Ehritt-Braun, C, Vogelgesang, D, et al. Metastatic lymph nodes in patients with cervical cancer: detection with MR imaging and FDG PET. Radiology 2001; 218:776–82.CrossRefGoogle ScholarPubMed
Rockall, AG, Sohaib, SA, Harisinghani, MG, et al. Diagnostic performance of nanoparticle-enhanced magnetic resonance imaging in the diagnosis of lymph node metastases in patients with endometrial and cervical cancer. J Clin Oncol 2005;23 (12):2813–21.CrossRefGoogle Scholar
Choi, HJ, Kim, SH, Seo, SS, et al. MRI for pretreatment lymph node staging in uterine cervical cancer. Am J Roentgenol 2006;187: 538–43.CrossRefGoogle ScholarPubMed
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;238:272–9.CrossRefGoogle ScholarPubMed
Chou, HH, Chang, TC, Yen, TC, et al. Low value of [F]-fluoro-2-deoxy-D-glucose positron emission tomography in primary staging of early-stage cervical cancer before radical hysterectomy. J Clin Oncol 2006;24:123–8.CrossRefGoogle Scholar
Kim, J, Kim, K, Park, B, Kim, M, Cho, K. Feasibility of diffusion-weighted imaging in the differentiation of metastatic from non-metastatic lymph nodes: early experience. J Magn Reson Imag 2008;28:714–19.CrossRefGoogle Scholar
Thoeny, HC, Triantafyllou, M, Birkhaeuser, FD, et al. Combined ultrasmall superparamagnetic particles of iron oxide-enhanced and diffusion-weighted magnetic resonance imaging reliably detect pelvic lymph node metastases in normal-sized nodes of bladder and prostate cancer patients. Eur Urol 2009;55(4):770–2.CrossRefGoogle Scholar
Schepkin, VD, Chenevert, TL, Kuszpit, K, et al. Sodium and proton diffusion MRI as biomarkers for early therapeutic response in subcutaneous tumors. Magn Reson Imag 2006;24:273–8.CrossRefGoogle ScholarPubMed
Chenevert, TL, McKeever, PE, Ross, BD. Monitoring early response of experimental brain tumors to therapy using diffusion magnetic resonance imaging. Clin Cancer Res 1997;3:1457–66.Google ScholarPubMed
Einarsdottir, H, Karlsson, M, Wejde, J, Bauer, HC. Diffusion-weighted MRI of soft tissue tumors. Eur Radiol 2004;14:959–63.CrossRefGoogle Scholar
Jacobs, MA, Herskovits, EH, Kim, HS. Uterine fibroids: diffusion weighted MR imaging for monitoring therapy with focused ultrasound surgery-preliminary study. Radiology 2005; 236:196–203.CrossRefGoogle ScholarPubMed
Liapi, E, Kamel, IR, Bluemke, DA, Jacobs, MA, Kim, HS. Assessment of response of uterine fibroids and myometrium to embolisation using diffusion-weighted echoplanar MR imaging. J Comput Assist Tomogr 2005; 29:82–6.CrossRefGoogle ScholarPubMed

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×