Literature DB >> 25559369

Unabsorbed polylactide adhesion barrier mimicking recurrence of gynecologic malignant diseases with increased ¹⁸F-FDG uptake on PET/CT.

Gun Oh Chong1, Yoon Hee Lee, Dae Gy Hong, Young Lae Cho, Yoon Soon Lee.   

Abstract

PURPOSE: To evaluate the incidence and characteristics of the unabsorbed polylactide adhesion barrier with increased (18)F-fluorodeoxyglucose ((18)F-FDG) uptake after surgeries for gynecologic malignancies.
METHODS: Between September 2006 and November 2009, we reviewed the charts of 75 patients who were provided a polylactide adhesion barrier after surgery for gynecologic malignant diseases. We surveyed the cases of increased (18)F-FDG uptake on positron emission tomography/computed tomography (PET/CT), and evaluated the effectiveness of polylactide adhesion barrier using an adhesion scoring system.
RESULTS: Ten patients (13.3 %) had a solitary pelvic mass with increased (18)F-FDG uptake in the follow up PET/CT. The characteristics of patients and tumors are described below. The median age was 48 years (range 19-66 years). The median tumor size was 1.9 cm (range 1.0-2.3 cm), and the median SUVmax of the pelvic mass was 5.1 (range 3.7-7.9). The median time between initial operations and second operation was 13.5 months (range 8-23 months). We performed laparoscopic excision of the pelvic mass, and the biopsy revealed foreign body reactions with the exception of 1 case, which contained tumor cells under the unabsorbed polylactide adhesion barrier. The median adhesion grade was 1 (range 0-2).
CONCLUSIONS: A solitary pelvic mass found in the PET/CT with increased (18)F-FDG uptake after usage of a polylactide adhesion barrier may be an unabsorbed remnant. The adhesion barrier should be used with caution in patients with gynecologic malignant diseases.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25559369     DOI: 10.1007/s00404-014-3587-8

Source DB:  PubMed          Journal:  Arch Gynecol Obstet        ISSN: 0932-0067            Impact factor:   2.344


  4 in total

1.  Machine learning based evaluation of clinical and pretreatment 18F-FDG-PET/CT radiomic features to predict prognosis of cervical cancer patients.

Authors:  Masatoyo Nakajo; Megumi Jinguji; Atsushi Tani; Erina Yano; Chin Khang Hoo; Daisuke Hirahara; Shinichi Togami; Hiroaki Kobayashi; Takashi Yoshiura
Journal:  Abdom Radiol (NY)       Date:  2021-11-25

2.  Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [18F]-FDG PET/CT to Predict Prognosis of Patients with Endometrial Cancer.

Authors:  Masatoyo Nakajo; Megumi Jinguji; Atsushi Tani; Hidehiko Kikuno; Daisuke Hirahara; Shinichi Togami; Hiroaki Kobayashi; Takashi Yoshiura
Journal:  Mol Imaging Biol       Date:  2021-03-24       Impact factor: 3.488

3.  Biological Significance of 18F-FDG PET/CT Maximum Standard Uptake Value for Predicting EGFR Mutation Status in Non-Small Cell Lung Cancer Patients.

Authors:  Yubo Wang; Rui Han; Qiushi Wang; Jie Zheng; Caiyu Lin; Conghua Lu; Li Li; Hengyi Chen; Rongbing Jin; Yong He
Journal:  Int J Gen Med       Date:  2021-02-03

4.  Foreign body reaction mimicking local recurrence from polyactide adhesion barrier film after laparoscopic colorectal cancer surgery: A retrospective cohort study.

Authors:  Tien-Chan Hsieh; Chao-Wen Hsu
Journal:  Medicine (Baltimore)       Date:  2022-02-04       Impact factor: 1.889

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.