scholarly journals Role of ultrasonography to evaluate ovarian masses and its correlation with histopathological findings

Author(s):  
Dr Subrat Prasad ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 86-89
Author(s):  
Subash KC ◽  
Ashish Shrestha ◽  
Sagar Khadka ◽  
Ramesh Poudel

Background: As ovarian malignancies are one of the commonest malignancies in female population, timely and accurate diagnosis helps in early treatment resulting in better survival. Ultrasound is easily available diagnostic tool not only to diagnose but also accurately distinguish malignant from benign ovarian masses. Aims and Objectives: To evaluate sensitivity, specificity and accuracy of ultrasound in diagnosing and differentiating benign from malignant ovarian masses in comparison with histopathological findings. Materials and Methods: A prospective study was carried out from August 2015 to August 2018 for a period of 3 years. Total 150 patients with ovarian masses who were operated in our hospital and their final histopathological reports were available, were included in our study. Ultrasound diagnosis and histopathological diagnosis were compared. Results: Sensitivity, specificity and accuracy of ultrasound in diagnosing and differentiating malignant from benign ovarian masses were found to be 78.94%, 98.47% and 88.23% respectively compared with histopathological findings. Conclusion: Ultrasound is very sensitive, specific and accurate in not only diagnosing ovarian mass but also in differentiating malignant from benign entities making it invaluable and important diagnostic tool in evaluation of ovarian masses.


2010 ◽  
Vol 1 (1) ◽  
pp. 23 ◽  
Author(s):  
Dhwani Desai ◽  
VA Desai ◽  
RN Verma ◽  
A Shrivastava

2017 ◽  
Vol 6 (94) ◽  
pp. 6858-6862
Author(s):  
Singhal R P ◽  
Pardaman Singh Setia ◽  
Kawal Preet Kaur ◽  
Virinder Mohan ◽  
Payal Bansal

2020 ◽  
Vol 8 (2) ◽  
pp. 41-49
Author(s):  
G. Mahender Reddy ◽  
M. L. Ravindernath ◽  
S.Snehaja Reddy

Background: In order to conduct appropriate surgical treatments, the characterization of ovarian lesions is of considerable significance and can affect patient care. A multidisciplinary approach based on physical assessment, laboratory tests and imaging techniques includes adequate measurement of the adnexal masses. The aim is to assess the role of Sonography and MR in diagnosing ovarian masses, to study imaging characteristics of ovarian masses on USG and Doppler in correlating these findings with MR features. Subjects and Methods: The present study was carried out in the department of radiodiagnosis to determine the efficacy of sonography and MRI in the diagnosis of ovarian masses. The study group comprised 50 patients with clinically suspected ovarian masses and imaging was carried out on all patients with ovarian masses and imaging was carried out on all patients with ovarian masses. All the masses were evaluated on sonography based on the Sassone scoring system. Morphological analysis was performed for each mass based on wall thickness, inner wall structure, septal structure and echogenicity of mass. The color flow was carried out, subsequently; MRI was carried out for each patient. Radiological diagnosis was confirmed after surgery on histopathological examination. Results: The majority of the patients were in the age group of 31-40 years. The most common symptoms noted were pain in the abdomen. The most common clinical finding was a palpable mass. The application of Sassone sonomorphologic score >9 was identified in 8 masses, out of which 7 were malignant and 1 was a benign lesion. The colour flow was detected in 38 out of 50 masses. The presence of flow, type of flow, vessel arrangement, morphology and location were noted and on pulsed Doppler the RI and PI values were calculated. Out of 8 malignant cases, 5 were diagnosed as malignant according to the Caruso score. The overall sensitivity 100 %, specificity is 97.6% and diagnostic accuracy is 98% of MRI which is higher than that of ultrasound and CDS. Conclusion: We conclude that MRI is a superior diagnostic modality in establishing the diagnosis of ovarian masses.


2015 ◽  
Vol 20 (2) ◽  
pp. 97-101 ◽  
Author(s):  
Abdel-Baset F. Mohammed ◽  
Vijay K. Ahuja ◽  
Hanan Farghaly

2019 ◽  
Vol 53 (1) ◽  
pp. 116-123 ◽  
Author(s):  
F. Moro ◽  
T. Pasciuto ◽  
D. Djokovic ◽  
A. Di Legge ◽  
V. Granato ◽  
...  

2007 ◽  
Vol 29 (5) ◽  
pp. 512-516 ◽  
Author(s):  
A. C. Testa ◽  
D. Timmerman ◽  
C. Exacoustos ◽  
E. Fruscella ◽  
C. Van Holsbeke ◽  
...  

Author(s):  
Romana Idrees ◽  
Zakia Sheikh ◽  
Uzma Chishti ◽  
Tahira Y Malik ◽  
Aliya B Aziz ◽  
...  

2013 ◽  
Vol 14 (1) ◽  
pp. 603-606 ◽  
Author(s):  
Saima Hafeez ◽  
Saira Sufian ◽  
Madiha Beg ◽  
Quratulain Hadi ◽  
Yasir Jamil ◽  
...  
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document