Correlation between clinical presentation with USG findings and per-operative findings of ovarian tumor
DOI:
https://doi.org/10.18203/2320-1770.ijrcog20250163Keywords:
Correlation, Ovarian tumor, Per-operative findings, Ultrasonography, Clinical presentationAbstract
Background: Ovarian tumors present with diverse clinical symptoms and accurate diagnosis is essential for effective management. Ultrasound (USG) is a key diagnostic tool, providing insights into tumor characteristics such as size, location and morphology. However, variations may exist between clinical presentation, USG findings and intraoperative findings. This study aimed to correlate clinical, USG and preoperative findings of ovarian tumors.
Methods: This cross-sectional study was conducted in the Department of Obstetrics and Gynecology at Bangabandhu Sheikh Mujib Medical University, Dhaka, between March and August 2014. A total of 50 women with provisional diagnoses of ovarian tumors, admitted during this period, were included. A purposive consecutive sampling technique was applied and data analysis was performed using MS Office tools.
Results: This cross-sectional study was conducted in the Department of Obstetrics and Gynecology at Bangabandhu Sheikh Mujib Medical University, Dhaka, between March and August 2014. A total of 50 women with provisional diagnoses of ovarian tumors, admitted during this period, were included. A purposive consecutive sampling technique was applied and data analysis was performed using MS Office tools.
Conclusions: Common clinical presentations of ovarian tumors include lower abdominal lump, distension, vague discomfort, occasional pain, severe pain, appetite loss, dyspepsia and weight loss. Histopathological patterns include serous and mucinous cyst adenomas, mature teratomas, mucinous cyst adenocarcinomas and serous. Pelvic exams and transvaginal ultrasounds help detect ovarian neoplasms.
Metrics
References
Ionescu, Antoniu C. Correlation of ultrasound features and the Risk of Ovarian Malignancy Algorithm score for different histopathological subtypes of benign adnexal masses. Med. 2018;97(31):11762. DOI: https://doi.org/10.1097/MD.0000000000011762
Valentin L, Ameye L, Savelli L, Fruscio R, Leone FPG, Czekierdowski A, et al. Adnexal masses are difficult to classify as benign or malignant using subjective assessment of gray-scale and Doppler ultrasound findings: logistic regression models do not help. Ultrasound Obstet Gynecol. 2011;38:456–65. DOI: https://doi.org/10.1002/uog.9030
Jacobs I, Oram D, Fairbanks J, Turner J, Frost C, Grudzinskas JG. 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;97:922–9. DOI: https://doi.org/10.1111/j.1471-0528.1990.tb02448.x
Timmerman D, Testa AC, Bourne T, Ameye L, Jurkovic D, Van Holsbeke C, et al. Simple ultrasound-based rules for the diagnosis of ovarian cancer. Ultrasound Obstet Gynecol. 2008;31:681–90. DOI: https://doi.org/10.1002/uog.5365
Froyman W, Landolfo C, De Cock B, Wynants L, Sladkevicius P, Testa AC, et al. Risk of complications in patients with conservatively managed ovarian tumors (IOTA5): a 2-year interim analysis of a multicentre, prospective, cohort study. Lancet Oncol. 2019;20:448–58. DOI: https://doi.org/10.1016/S1470-2045(18)30837-4
Earle CC, Schrag D, Neville BA, Yabroff KR, Topor M, Fahey A, et al. Effect of surgeon specialty on processes of care and outcomes for ovarian cancer patients. J Natl Cancer Inst. 2006;98:172–80. DOI: https://doi.org/10.1093/jnci/djj019
Van Calster B, Van Hoorde K, Valentin L, Testa AC, Fischerova D, Van Holsbeke C, et al. Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive and secondary metastatic tumors: prospective multicentre diagnostic study. BMJ. 2014;3:49. DOI: https://doi.org/10.1136/bmj.g5920
Moro F, Esposito R, Landolfo C, Froyman W, Timmerman D, Bourne T, et al. Ultrasound evaluation of ovarian masses and assessment of the extension of ovarian malignancy. Br J Radiol. 2021;94:20201375. DOI: https://doi.org/10.1259/bjr.20201375
Andreotti RF, Timmerman D, Strachowski LM, Froyman W, Benacerraf BR, Bennett GL, et al. O-RADS us risk stratification and management system: a consensus guideline from the ACR Ovarian-Adnexal reporting and data system Committee. Radiol. 2020;294:168–85. DOI: https://doi.org/10.1148/radiol.2019191150
Testa AC, Ferrandina G, Timmerman D, Savelli L, Ludovisi M, Van Holsbeke C, et al. Imaging in gynecological disease (1): ultrasound features of metastases in the ovaries differ depending on the origin of the primary tumor. Ultrasound Obstet Gynecol 2007;29:505–11. DOI: https://doi.org/10.1002/uog.4020
Testa AC, Ludovisi M, Mascilini F, Di Legge A, Malaggese M, Fagotti A, et al. Ultrasound evaluation of intra-abdominal sites of disease to predict likelihood of suboptimal cytoreduction in advanced ovarian cancer: a prospective study. Ultrasound Obstet Gynecol. 2012;39:99–105. DOI: https://doi.org/10.1002/uog.10100
Alcázar JL, Caparros M, Arraiza M, Mínguez José Ángel, Guerriero S, Chiva L, et al. Pre-operative assessment of intra-abdominal disease spread in epithelial ovarian cancer: a comparative study between ultrasound and computed tomography. Int J Gynecol Cancer. 2019;29:227–33. DOI: https://doi.org/10.1136/ijgc-2018-000066
Testa AC, Ferrandina G, Fruscella E, Van Holsbeke C, Ferrazzi E, Leone FPG, et al. The use of contrasted transvaginal sonography in the diagnosis of gynecologic diseases: a preliminary study. J Ultrasound Med. 2005;24:1267–78. DOI: https://doi.org/10.7863/jum.2005.24.9.1267
Dijmarescu L, Gheta C, Tanase F, Comanescu A, Manolea M, Novac L. Diagnosis Correlations in Ovarian Tumors. Curr Health Sci J. 2012;38(1):31-4.
Priya, Margaret HF. Clinical correlation of ovarian mass with ultrasound findings and histopathology report. Int J Reproduc, Contr, Obst Gynecol. 2017;12(6):5230-5. DOI: https://doi.org/10.18203/2320-1770.ijrcog20175058
NABI U, Naseem N. Tanvir I, Riaz S. Clinicopathological Pattern in 150 Females Presenting with Benign and Malignant Ovarian Tumors. Departments of Pathology. Rashid Latif Medical College, UHS, Fatima Memorial Hospital Medical & Dental College 2012.
Haroon S, Zia A, Idrees R. Memon A, Fatima S, Kayani N. Clinicopathological spectrum of ovarian sex cord-stromal tumors; 20 years' retrospective study in a developing country. J Ova Res. 2013;6:87-90. DOI: https://doi.org/10.1186/1757-2215-6-87
Espada M, Garcia-Flores JR, Jimenez M, Alvarez-Moreno E, De Haro M, Gonzalez-Cortijo L, et al. Diffusion- Weighted magnetic resonance imaging evaluation of intra-abdominal sites of implants to predict the likelihood of suboptimal cytoreductive surgery in patients with ovarian carcinoma. Eur Radiol. 2013;23:2636–42. DOI: https://doi.org/10.1007/s00330-013-2837-7
Michielsen K, Vergote I, Op de Beeck K, Amant F, Leunen K, Moerman P, et al. Whole-Body MRI with diffusion-weighted sequence for staging of patients with suspected ovarian cancer: a clinical feasibility study in comparison to CT and FDG-PET/CT. Eur Radiol. 2014;24:889–901. DOI: https://doi.org/10.1007/s00330-013-3083-8