The parameters affecting accuracy of e ultrasonographic diagnosis in dermoid cysts

Yıl 2014, , 64 - 70, 01.03.2014

Yeşim Bayoğlu Tekin Sadiman Kiykac Altinbas Suat Dede Berna Dilbaz

https://doi.org/10.5798/diclemedj.0921.2014.01.0374

Cited By: 1

Öz

Objective: To determine the adequacy of ultrasound in diagnosis of dermoid cysts and to demonstrate the causes of ultrasonographic failure in histopathologically misdiagnosed cases. Methods: Of 245 consecutive patients, whom an adnexal mass is determined and the preliminary ultrasonographic diagnosis of the cyst was a dermoid csyt, were included in the study. Preoperative ultrasonographic findings and postoperative pathology results were evaluated and the correlation with pre-operative ultrasound imaging and final pathologic results were analyzed. Results: The diagnosis of a dermoid cyst with ultrasonography was detected with the following rates of sensitivity 81.8%, specifity 93.1%, positive predictive value 67.5%, negative predictive value 96.7%. A wall thickness greater than 3 mm (p=0.029), inner wall irregularity (p=0.001), mixed echogenity according to hyperechogenic lines p=0.003), solid component (p=0.001), acoustic shadowing (p=0.001), calcification (p=0.001), echogenic mural nodule (p=0.001), were found to be statistically significant (p

Anahtar Kelimeler

Dermoid cyst, ultrasonography, pattern recognition method, pathology

The parameters affecting accuracy of e ultrasonographic diagnosis in dermoid cysts

Öz

Amaç: Ultrasonografinin dermoid kist tanısındaki yeterliliğini belirlemek ve histopatolojik olarak farklı tanı alan olgularda sonografik tanısal hata nedenlerini ortaya koymak. Yöntemler: Adneksiyal kitle tespit edilen ardışık 245 olgudan ultrasonografik ve histopatolojik olarak dermoid kist tanısı alanlar çalışmaya dahil edildi. Preoperatif ultrasonografi bulguları ile postoperatif patoloji sonuçları değerlendirildi ve preoperatif ultrasonografik görüntüleme ile postoperatif patoloji sonuçları arasındaki ilişki araştırıldı. Bulgular: Dermoid kist tanısı ultrasonografi ile %81,8 sensitivite, %93,1 spesifite, %67,5 pozitif öngörü değeri, %96,7 negatif öngörü değeri ile tanımlandı. Ultrasonografi ile dermoid kist tespitinde kist duvar kalınlığının 3 milimetreden fazla olmasının (p=0,029), duvar iç konturunun düzensiz olması (p=0,001) ve hiperekojenik ince çizgilenmeye bağlı olarak karışık ekojenitenin izlenmesinin (p=0,003), solid komponent (p=0,001), akustik gölgelenme (p=0,001), kalsifikasyon (p=0.001) ve ekojenik mural nodül (p=0,001) saptanmasının istatistiksel olarak anlamlı oranda yüksek olduğu görüldü. Doppler sonografide vaskularite tespitinin dermoid kist tespitinde istatistiksel olarak anlamlı olmadığı görüldü (p=0,52). Sonuç: Adneksiyel kitlelerin ultrasonografi ile subjektif olarak değerlendirilerek tanı konulmasına patern tanıma yöntemi denilmektedir. Adneksiyal kitlelerin tanınmasında patern tanıma yöntemi, diğer yöntemlere oranla yüksek doğruluk oranına sahiptir ve spesifik tanıya gitmede daha güvenilirdir. Dermoid kistlerde hiperekojenik ince çizgilenme ve hiperekojenik solid yapı karakteristik özellik olmakla birlikte, bu parametrelerin aynı zamanda yanlış tanı konulmasına sebep olan parametreler olduğu görülmüştür.

Anahtar Kelimeler

Dermoid kist, ultrasonografi, patern tanıma yöntemi

Kaynakça

• Talerman A. Germ cell tumors of the ovary. Curr Opin Obstet Gynecol 1997;9:44-47.
• Talerman A. Germ cell tumors of the ovary. In:Kurman RJ, ed. Blaustein’s pathology of the female genital tract 5th edi- tion. Newyork: Springer; 2002. 997.
• Serafini G, Quadri PG, Gandolfo NG, et al. Sonographic Fea- tures of Incidentally Detected, Small, Nonpalpable Ovarian Dermoids. J Clin Ultrasound 1999;27:369-373.
• Momtahen AJ, Zawin J. Mature ovarian cystic teratoma (der- moid cyst). Ultrasound Q 2012;28:175-177.
• Patel MD, Feldstein VA, Lipson SD, et al. Cystic teratoma of the ovary: diagnostic value of sonography. Am J Roent- genol 1998;171:1061-1065.
• Hertzberg BS, Kliewer MA. Sonography of benign cystic teratoma of the ovary: pitfalls in diagnosis. Am J Roent- genol 1996;167:1127-1133.
• Sokalska A, Timmermen D, Testa AC, et al. Diagnostic accu- racy of transvaginal ultrasound examination for assigning a specific diagnosis to adnexal masses. Ultrasound Obstet Gynecol 2009;34:462–470.
• Valentin L. Use of morphology to characterize and manage common adnexal masses. Best Pract Res Clin Obstet Gyn- aecol 2004;18:71-89.
• Hoo W, Yazbek J, Holland T, et al. Expectant management of ultrasonically diagnosed ovarian dermoid cysts: is it possible to predict outcome? Ultrasound Obstet Gynecol 2010;36:235–240.
• Timmerman D, Valentin L, Bourne TH, et al. Terms, defi- nitions and measurements to describe the sonographic features of adnexal tumors: a consensus opinion from the International Ovarian Tumor Analysis (IOTA) Group. Ul- trasound Obstet Gynecol 2000;16:500-505.
• Jacobs I, Oram D, Fairbanks J, et al. A risk of malignancy index incorporating CA 125, ultrasound and menopausal status for the accurate preoperative diagnosis of ovarian cancer. Br J Obstet Gynaecol 1990;97:922–929.
• Lerner JP, Timor-Tritsch IE, Federman A, et al. Transvagi- nal ultrasonographic characterization of ovarian masses with an improved, weighted scoring system. Am J Obstet Gynecol 1994;170:81–85.
• Tailor A, Jurkovic D, Bourne TH, et al. Sonographic pre- diction of malignancy in adnexal masses using multivari- ate logistic regression analysis. Ultrasound Obstet Gynecol 1997;10:41–47.
• Timmerman D, Bourne T, Tailor A, et al. A comparison of methods for preoperative discrimination between ma- lignant and benign adnexal masses: The development of a new logistic regression model. Am J Obstet Gynecol 1999;181:57–65.
• Timmerman D, Verrelst H, Bourne TH, et al. Artificial neural network models for the preoperative discrimination between malignant and benign adnexal masses. Ultrasound Obstet Gynecol 1999;13:17–25.
• Tailor A, Jurkovic D, Bourne TH, et al. Sonographic pre- diction of malignancy in adnexal masses using an artificial neural network. Br J Obstet Gynaecol 1999;106:21–30.
• Timmerman D, Schwarzler P, Collins WP, et al. Subjective assesment of adnexal masses with the use of ultrasonogra- phy: an analysis of interobserver variability and experience. Ultrasound Obstet Gynecol 1999;13:11-16.
• Caspi B, Appelman Z, Rabinerson D, et al. Pathognomic echo patterns of benign cystic teratomas of the ovary: clas- sification, incidence and accuracy rate of sonographic diag- nosis. Ultrasound Obstet Gynecol 1996;7:275-279.
• Guerriero S, Alcazar JL, Pascual MA, et al. Diagnosis of the most frequent benign ovarian cysts: Is ultrasonography ac- curate and reproducible? J Women’s Health 2009;18:519- 27.
• Mais V, Guerriero S, Ajossa S, et al. Transvaginal sonog- raphy in the diagnosis of cystic teratoma. Obstet Gynecol 1995;85:48-52.
• de Kroon CD, van der Sandt HA, van Houwelingen JC, et al. Sonographic assesment of non-malignant ovarian cysts: does sonohistology exist? Hum Reprod 2004;19:2138- 2143.
• Malde HM, Kedar RP, Chadha D, et al. Dermoid mesh: a sonographic sign of ovarian teratoma. Am J Roentgenol 1992;159:349-1350.
• Tongsong T, Wanapirak C, Khunamornpong S, et al. Nu- merous intracystic floating balls as a sonographic feature of benign cystic teratoma: report of five cases. J Ultrasound Med 2006;25:1587-1591.
• Guerriero S, Mais V, Ajossa S, et al. The role of endovaginal ultrasound in differantiating endometriomas from the other ovarian cysts. Clin Exp Obstet Gynecol 1995;22:20-22.
• Aybar MD, Barut YA, Öztürk A, et al. Matur Kistik Tera- tomların Görüntüleme Özellikleri: US, BT, MRG Bulgula- rı. İstanbul Tıp Dergisi 2010;1:24-28.
• Kurjak A, Kupesic S, Babic MM, et al. Preoperative evalu- ation of cystic teratoma: What does color Doppler add? J Ultrasound Med 1997;25:309-316.
• Patel MD. Practical approach to the adnexal mass. Radiol Clin North Am 2006;44:879-899.