International Journal of Health and Clinical Research
Yazarlar: Chiranjeev Gathwal, Tarun Narang, Ta run, Monika B Gathwal, Kulvinder Singh, Shivani Khandelwal, Ruchi Agarwal, Pushpender Malik
Konular:-
Anahtar Kelimeler:Radiological evaluation,Ovarian Dermoid,SG,T,RI.
Özet: Background: Ovarian Dermoids are the most common ovarian neoplasm. It comprise for approx 15-20% of all ovarian neoplasms. They usually occur during reproductive age group, typically in 2nd -3rd decade. These are slow-growing tumors containing elements from multiple germ cell layers and are easily diagnosed with Ultrasonography (USG) and better characterized by CT and MRI.Aim and objective:To do Radiological Evaluation of Ovarian Dermoids using imaging data of different Radiological Modalities.Materials and methods: Data of Radiologically diagnosed cases of Ovarian Dermoids was collected from USG, CT and MRI wings of Department of Radiodiagnosis BPS GMC W Khanpur Sonipat Haryana over a period of two yrs (2017-2019). Imaging data were evaluated by at least two Radiologists. Histocytopathological findings were taken into consideration wherever available. Data was collected, complied and analyzed statisticallyResults: Total 28 female cases were evaluated in age range of 21-70 with mean, median & modes age as 32, 26.5 and 23 yrs respectively showing predominance of reproductive age group. The lesions are seen predominantly on right side and 3/28 (10.71%) showed bilateral lesions. Most of the patients presented with lower abdominal pain (seen in 12/28, 42.8%); 8cm being the average size of lesions. Complication as torsion seen in 3/28 (10.71%) cases. 3/28 patients were found to be pregnant along with having Dermoid lesions. The lesions were characterized further on USG, CT and MRI. The lesions were readily diagnosed on each modalities based on typical imaging features with most of the lesions diagnosed incidentally on sonography (24/28) done as routine abdomino-pelvic scanning.Conclusion: Ovarian Dermoids can be diagnosed readily on USG with typical imaging features and complicated cases can further be better characterized on CT & MRI.