| Title |
Literature review: deep endometriosis diagnostic and treatment challenges / |
| Authors |
Grinciūtė, Dominyka ; Frolovas, Ernestas |
| DOI |
10.53453/ms.2023.6.20 |
| Full Text |
|
| Is Part of |
Medicinos mokslai = Journal of medical sciences.. Kėdainiai : Lietuvos sveikatos mokslinių tyrimų centras. 2023, t. 11, Nr. 5, p. 168-174.. eISSN 2345-0592 |
| Keywords [eng] |
Deep endometriosis ; non-surgical diagnosis ; treatment ; pain ; infertility |
| Abstract [eng] |
Background and aim. Deep endometriosis (DE) is defined as endometriotic lesions that extend more than 5 mm below the surface of the peritoneum. Women of reproductive age with this disease experience pain, infertility, and a consequent decline in quality of life. Deep endometriosis' exact mechanics and pathophysiology remain poorly known, which makes diagnosis and treatment challenging. Materials and Methods. We searched PubMed and Google Scholar databases to compare the diagnostic value of non-invasive procedures like transvaginal ultrasound and magnetic resonance imaging with diagnostic laparoscopy with tissue biopsy. We also used the same databases to research the best deep endometriosis treatment strategy. Results. The quality of non-invasive diagnosis highly depends on the deep endometriosis location. #Enzian classification is a valuable tool in improving the sensitivity and specificity of TVUS. The treatment options differ throughout different guidelines; however, they all agree that treatment should be individualized depending on the patient's age and complaints. Conclusion. Non-invasive diagnostic techniques can safely replace diagnostic laparoscopy; however, their site specificity and the need for a trained professional should be kept in mind. Conservative therapy should be the first line for pain management, and assisted reproductive techniques should be used for infertility treatment. Surgery should only be considered when both of these options are exhausted. |
| Published |
Kėdainiai : Lietuvos sveikatos mokslinių tyrimų centras |
| Type |
Journal article |
| Language |
English |
| Publication date |
2023 |
| CC license |
|
