The role of magnetic resonance imaging and ultrasound in patients with adnexal masses

Sohaib, S.A.; Mills, T.D.; Sahdev, Anju; Webb, Judith A. W.; VanTrappen, P.O.; Jacobs, Ian; Reznek, Rodney H.

doi:10.1016/j.crad.2004.09.007

Cited by 143 publications

(90 citation statements)

References 24 publications

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“…However, the proportion of sonographically indeterminate adnexal masses 'overcalled' as malignant falls dramatically after MR imaging. Less than one in ten indeterminate masses are 'overcalled' by the combination of US followed by MR imaging [8].…”

Section: Introductionmentioning

confidence: 99%

“…The majority of sonographically (US) indeterminate masses are not rare and exotic lesions but common adnexal lesions [8,9] such as mature teratomas (dermoid tumours) with minimal fat or other atypical features, haemorrhagic lesions in which adherent blood clot may mimic mural vegetations and solid fibrous masses (ovarian fibroma/thecoma and uterine leiomyomata) whose solid nature raises concerns for malignancy. Thus most indeterminate adnexal masses are actually complex benign lesions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

ESUR guidelines for MR imaging of the sonographically indeterminate adnexal mass: an algorithmic approach

Spencer

Forstner²,

Cunha

et al. 2009

Eur Radiol

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ESUR guidelines for MR imaging of the sonographically indeterminate adnexal mass: an algorithmic approach Abstract A significant proportion of adnexal masses detected by sonography are indeterminate. Either their organ of origin is uncertain or it is unclear whether their nature is benign or malignant. MR imaging of the sonographically indeterminate adnexal mass can resolve most of these uncertainties. Most indeterminate masses result from common benign conditions and women with such masses can avoid unnecessary or inappropriate surgery. For the minority of women whose masses are malignant, use of MR imaging rather than a 'wait and watch' strategy of repeat ultrasound (US) results in a more timely diagnosis. There are simple diagnostic steps in the MR imaging assessment which direct an algorithmic and problem-solving approach based on signal characteristics and morphology. MR imaging should provide a more timely diagnosis and, thereby, guide the management of the patient with reduced costs of investigation and treatment.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

ESUR guidelines for MR imaging of the sonographically indeterminate adnexal mass: an algorithmic approach

Spencer

Forstner²,

Cunha

et al. 2009

Eur Radiol

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“…The results showed that MRI was superior to CT [137]. In another study, MRI was found to be superior to ultrasound for discriminating between benign and malignant adnexal masses, because it was associated with fewer false positive results [138].…”

Section: Palpable Pelvic Massmentioning

confidence: 93%

Imaging in gynecology

Valentin

2006

Best Practice & Research Clinical Obstetrics & Gynaecol

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This chapter summarizes the diagnostic performance (sensitivity, specificity, positive and negative likelihood ratios) of ultrasound, computer tomography, and magnetic resonance imaging in the diagnosis of various gynecological diseases and tumors. Positron emission tomography is not discussed. Imaging in infertility, in the diagnosis of Mullerian duct anomalies and in gynecological oncology (staging of gynecological cancers, diagnosis of recurrence of gynecological cancer, diagnosis of trophoblastic tumors) is not dealt with.Ultrasound is the first line imaging method for discrimination between viable intrauterine pregnancy, miscarriage and tubal pregnancy in women with bleeding and/or pain in early pregnancy, for discrimination between benign and malignant adnexal masses and for making a specific diagnosis in adnexal tumors (e.g., dermoid cyst, endometrioma, hemaorrhagic corpus luteum, ectetera), for diagnosing intracavitary uterine pathology in women with bleeding problems, and for confirming or refuting pelvic pathology in women with pelvic pain. Magnetic resonance imaging may have a role as a secondary test in the diagnosis of adenomyosis, 'deep endometriosis' (e.g., endometriosis in the rectovaginal septum or in the utero-sacral ligaments), and in the diagnosis of extremely rare types of ectopic pregnancy (e.g., in the spleen, liver or retroperitoneum).

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“…Both techniques are highly sensitive, but MR imaging is more specific than ultrasound at identifying malignant masses. The greater specificity of MRI is due to its ability to identify correctly dermoid, endometriotic cysts, and fibroids which may appear malignant on US [8] . A recent meta-analysis evaluated the performance of combined gray-scale and A B C Figure 1 Bilateral dermoids.…”

Section: Diagnosis/characterisation Of Pelvic Massesmentioning

confidence: 99%

MR Imaging in Ovarian Cancer

Sohaib¹,

Reznek²

2006

Cancer of the Ovary

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Magnetic resonance (MR) imaging is increasingly being used in patients with gynaecological disorders due to its high contrast resolution compared to computed tomography (CT) and ultrasound. In women presenting with an adnexal mass, ultrasound remains the primary imaging modality in the detection and characterisation of such lesions. However, in recent years overwhelming evidence has accumulated for the use of MR imaging in patients with indeterminate adnexal masses particularly in younger women and where disease markers are unhelpful. In staging ovarian cancer and for evaluating therapeutic response MR imaging is as accurate as CT but CT remains the imaging modality of choice because it is more widely available and quicker. This article reviews that evidence and outlines a place for the use of MR imaging in ovarian cancer.

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The role of magnetic resonance imaging and ultrasound in patients with adnexal masses

Cited by 143 publications

References 24 publications

ESUR guidelines for MR imaging of the sonographically indeterminate adnexal mass: an algorithmic approach

ESUR guidelines for MR imaging of the sonographically indeterminate adnexal mass: an algorithmic approach

Imaging in gynecology

MR Imaging in Ovarian Cancer

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