Archives of gynecology and obstetrics · 2008
Role of magnetic resonance imaging and cause of pitfalls in detecting myometrial invasion and cervical involvement in endometrial cancer.
Сравнительное исследованиеСтатьяНазвание и аннотация: Перевод пока не подготовлен
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Sanjuán A, Escaramís G, Ayuso J R, Román S Martínez, Torné A, Ordi J, Lejárcegui J A, Pahisa J
Аннотация
OBJECTIVE: To determine the diagnostic accuracy of magnetic resonance imaging (MRI) in detecting myometrial invasion and cervical involvement in endometrial cancer.
STUDY DESIGN: Seventy two consecutive patients with endometrial carcinoma underwent preoperative MRI. We compared the MRI results with the final histopathological findings. We classify myometrial invasion as <50 or>or=50% and cervical involvement as positive or negative. Standard statistical calculations were used.
RESULTS: The sensitivity, specificity, and accuracy of MRI for the detection of myometrial invasion>or=50% were 71, 86, and 58%, respectively. Positive and negative predictive values are 77 and 83%, respectively. The sensitivity, specificity, and accuracy of MRI for the detection of cervical invasion were 41, 97, and 46%, respectively. Positive and negative predictive values are 71 and 89%, respectively. The possible causes of misdiagnosis included a tumor isointense with the myometrium, polypoid tumor, myometrial thinning, exceedingly irregular myometrium, presence of adenomiosis, and presence of leiomyomas.
CONCLUSION: MRI assists in planning the surgical treatment of endometrial cancer with an acceptable accuracy and a good specificity, although sensitivity is suboptimal.
STUDY DESIGN: Seventy two consecutive patients with endometrial carcinoma underwent preoperative MRI. We compared the MRI results with the final histopathological findings. We classify myometrial invasion as <50 or>or=50% and cervical involvement as positive or negative. Standard statistical calculations were used.
RESULTS: The sensitivity, specificity, and accuracy of MRI for the detection of myometrial invasion>or=50% were 71, 86, and 58%, respectively. Positive and negative predictive values are 77 and 83%, respectively. The sensitivity, specificity, and accuracy of MRI for the detection of cervical invasion were 41, 97, and 46%, respectively. Positive and negative predictive values are 71 and 89%, respectively. The possible causes of misdiagnosis included a tumor isointense with the myometrium, polypoid tumor, myometrial thinning, exceedingly irregular myometrium, presence of adenomiosis, and presence of leiomyomas.
CONCLUSION: MRI assists in planning the surgical treatment of endometrial cancer with an acceptable accuracy and a good specificity, although sensitivity is suboptimal.