Feldman M

No ORCID on file · 7 papers in corpus · active 2010-2025

Study types

  • other 2
  • review 2
  • article 1
  • editorial 1

Condition tags

  • endometriosis 6
  • chronic_pelvic_pain 2
  • infertility 1
  • thoracic_endometriosis 1
  • die_deep_infiltrating 1
other 2025
European journal of obstetrics, gynecology, and reproductive biology ·doi:10.1016/j.ejogrb.2025.114608

OBJECTIVE: To evaluate the impact and diagnostic accuracy of an endometriosis-specific magnetic resonance imaging (MRI) protocol on the management of deep endometriosis (DIE). STUDY DESIGN: Retrospective cohort study at the Cleveland Clini…

other 2025
Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology ·doi:10.1002/uog.29147
review 2025
Abdominal radiology (New York) ·doi:10.1007/s00261-025-04835-w

Endometriosis is the presence of hormonally sensitive endometrium-like tissue outside the uterus. It is a common condition, affecting 10% of reproductive-age people assigned as female at birth. Although usually occurring in the pelvis, it c…

review 2020
Abdominal radiology (New York) ·doi:10.1007/s00261-020-02483-w

Endometriosis is a common entity causing chronic pain and infertility in women. The gold standard method for diagnosis is diagnostic laparoscopy, which is invasive and costly. MRI has shown promise in its ability to diagnose endometriosis a…

article 2019
Abdominal radiology (New York) ·doi:10.1007/s00261-019-02291-x

Endometriosis is a common gynecologic disorder characterized by the presence of ectopic endometrial tissue outside the endometrial cavity. Magnetic Resonance Imaging (MRI) has become a mainstay for diagnosis and staging of this disease. In …

editorial 2019
Journal of minimally invasive gynecology ·doi:10.1016/j.jmig.2019.02.017

In this article we propose a structured imaging report applied to ultrasound and magnetic resonance imaging in patients with suspected endometriosis.

2010
Journal of the American Medical Informatics Association : JAMIA ·doi:10.1136/jamia.2009.002295

The authors report on the development of the Cancer Tissue Information Extraction System (caTIES)--an application that supports collaborative tissue banking and text mining by leveraging existing natural language processing methods and algo…