Small bowel adenocarcinomas account for 3% of gastrointestinal malignancies, and 20 to 25% of these arise in the ileum. Clinical presentation is variable, and early diagnosis is difficult. A 56-year-old postmenopausal woman presented with crampy abdominal pain, anorexia, and weight loss. Pelvic examination and ultrasound revealed a 6 x 8-cm complex right adnexal mass. At laparotomy, en bloc resection of the right adnexa and the densely adherent ileal segment was performed along with a hysterectomy and a left salpingo-oophorectomy. The final pathology showed a moderately differentiated invasive adenocarcinoma of the ileum with a malignant enterotubal fistula. This is the first case reported in the literature of an ileal adenocarcinoma with a tubal fistula masquerading as an adnexal mass.
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http://dx.doi.org/10.1006/gyno.1996.4555 | DOI Listing |
Insights Imaging
January 2025
Medical Research Department, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, P. R. China.
Objective: To develop an automatic segmentation model to delineate the adnexal masses and construct a machine learning model to differentiate between low malignant risk and intermediate-high malignant risk of adnexal masses based on ovarian-adnexal reporting and data system (O-RADS).
Methods: A total of 663 ultrasound images of adnexal mass were collected and divided into two sets according to experienced radiologists: a low malignant risk set (n = 446) and an intermediate-high malignant risk set (n = 217). Deep learning segmentation models were trained and selected to automatically segment adnexal masses.
J Gynecol Oncol
December 2024
Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric and Gynecologic Diseases, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Objective: Our study was aimed to construct a predictive model to advance ovarian cancer diagnosis by machine learning.
Methods: A retrospective analysis of patients with pelvic/adnexal/ovarian mass was performed. Potential features related to ovarian cancer were obtained as many as possible.
Int J Surg Case Rep
December 2024
Department of Obstetrics and Gynecology, Mahatma Gandhi Institute of Medical Sciences, Wardha, India. Electronic address:
Introduction And Importance: Xanthogranulomatous inflammation of the female genital tract is a rare condition involving ovarian tubes characterized by chronic inflammation and destruction of pelvic organs, often mimicking pelvic malignancy.
Case Presentation: A 37-year-old female with a history of chronic kidney disease, hypertension, and treated pulmonary tuberculosis, presented with lower abdominal fullness, pain, and irregular menstrual cycles.
Clinical Discussion: Radiological investigations revealed a significant left adnexal mass, suggesting a tubo-ovarian abscess or neoplastic lesion.
F S Rep
December 2024
Division of Gynecology, Department of Surgery, Boston Children's Hospital, Boston, Massachusetts.
Objective: To characterize the presentation and surgical management of ovarian fibromas among a case series of pediatric and adolescent patients with Gorlin syndrome.
Design: Retrospective case series.
Setting: Tertiary-care hospital.
Zhongguo Yi Xue Ke Xue Yuan Xue Bao
December 2024
Department of Radiology,The Central Hospital of Wuhan,Tongji Medical College, Huazhong University of Science and Technology,Wuhan 430014,China.
Objective To assess the value of the MRI-based ovarian-adnexal reporting and data system (O-RADS MRI) for the diagnosis of adnexal masses. Methods A total of 407 patients who underwent dynamic contrast enhancement (DCE)-MRI and pathological examination (gold standard) at the Department of Radiology,Central Hospital of Wuhan between May 2017 and December 2022 were enrolled in this study.Two radiologists performed the O-RADS MRI scoring of adnexal masses according to MRI features and calculated the malignancy rate of adnexal masses by O-RADS MRI score,enhancement type,and mass type.
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