The overall goal of the ultrasound research is to explore ultrasound as a diagnostic tool in the management of gynecological cancer as well as benign disease, in order to optimize utilization of healthcare resources and to avoid over and under-treatment. We evaluate new ultrasound techniques, conduct translational research, with the aim of tailor the treatment for each woman. We also develop and evaluate game-based learning and artificial intelligence in the diagnosis of ovarian tumours.
The sexual and reproductive health project includes: 1/ Evaluation of home abortion up to 70 days gestation aiming to improve management of medical abortion, 2/ Reduce menstrual pain by exploring new treatment options for dysmenorrhea and endometriosis and evaluate quality of life for women affected by menstruation related pain. 3/ Explore potential adverse events during pregnancy and labour in women with a history of female genital mutilation.
Pelvic floor, robotic surgery and endometriosis: The aim is to 1/ Identify variables that could optimize outcomes in women who undergo surgical treatment for symptoms related to pelvic floor dysfunction. 2/ Find out if surgical more complex cases have less complications using robotic hysterectomy and apical prolapse as compared to other methods in Sweden. 3/ If ultrasound can predict severity of endometriosis in order to tailor surgery.
- IETA (International Endometrial Tumour Analysis): Prospective international multicentre collaboration including several projects.
- IOTA (International Ovarian Tumour Analysis). Prospective international multicentre collaboration including several projects.
- IDEA (International Deep Endometriosis Analysis). Prospective international multicentre collaboration including several projects.
- MUSA (Morphological Uterus Sonographic Assessment). Prospective international multicentre collaboration including several projects.
- TITANUM (GestaTIonal TrophoblAstic NeoplasIa Ultrasound assessment). Prospective international multicentre collaboration including several projects.
- PCME (Personalized Cancer Medicine” in Endometrial Cancer). Translational project in collaboration with Joseph Carlson KI.
- AI-deep learning applied on ultrasound images of ovarian in collaboration with KTH (Kevin Smith, Pawel Herman, Emir Konuk, Filip Christiansen, Elliot Epstein)
- Precision medicine, BIO-IMAGE database in ovarian tumours In collaboration with SciLife lab Johan Lindberg and Brinton Seashore-Ludlow)
- National network for female mutilation (Vanja Berggren KI)
- International collaboration on endometriosis (ZEG, Berlin, Germany)
- IETA 4: Assess the role of ultrasound in the diagnosis of endometrial caner
- IOTA: Explore multimodel strategies including ultrasound in the diagnosis of adnexal masses.
- IDEA: Assess the role of ultrasound in the diagnosis of deep endometriosis
- TITANUM: The role of ultrasound in the diagnosis of GTN
- PCME: Explore sonographic, demographic, biometric and molecular to predict recurrence and death in endometrial cancer
- MUSA: Sonographic characteristics of Adenomyosis, Myomas and sarcomas
- SonoQZ (mobil applikation): Value of game-based learning in the diagnosis of adnexal masses.
- AI-machine learning: To discriminate bening form malignant adnexal masses.
- Precision medicine Bio-image database: Combining AI of ultrasound images with bioinformatics, and tumour markers to diagnose, and tailor treatment in ovarian cancer
- Childbirth and incontinence surgery: Association between childbirth and urinary incontinence after mid-urethral sling surgery
- Perineorrhaphy: Reconstructive surgery versus pelvic floor therapy in women with poorly healed second degree perineal tears - A randomized controlled study.
- Mid urethral sling surgery for urinary incontinence: long-term follow-up and complications from a population perspective
- Robotic surgery: Perioperative data, complications, symptoms, reoperations, sexual function and prescription of analgesics, prior to surgery and after.
- Swedish Research Counsil
- ALF-Hälsa Medicin Teknik (a collaboration with KTH)
- AFA, Region Stockholm-Gotland
- Radiumhemmets forskningsfonder