Literature DB >> 35884577

Advances in the Preoperative Identification of Uterine Sarcoma.

Junxiu Liu1, Zijie Wang2.   

Abstract

Uterine sarcomas are rare malignant tumors of the uterus with a high degree of malignancy. Their clinical manifestations, imaging examination findings, and laboratory test results overlap with those of uterine fibroids. No reliable diagnostic criteria can distinguish uterine sarcomas from other uterine tumors, and the final diagnosis is usually only made after surgery based on histopathological evaluation. Conservative or minimally invasive treatment of patients with uterine sarcomas misdiagnosed preoperatively as uterine fibroids will shorten patient survival. Herein, we will summarize recent advances in the preoperative diagnosis of uterine sarcomas, including epidemiology and clinical manifestations, laboratory tests, imaging examinations, radiomics and machine learning-related methods, preoperative biopsy, integrated model and other relevant emerging technologies.

Entities:  

Keywords:  biomarks; preoperative diagnosis; radiomics and machine learning; review; uterine sarcomas

Year:  2022        PMID: 35884577      PMCID: PMC9318633          DOI: 10.3390/cancers14143517

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.575


  90 in total

1.  Growth differentiation factor-15 as biomarker in uterine sarcomas.

Authors:  Jone Trovik; Helga Birgitte Salvesen; Tine Cuppens; Frederic Amant; Anne Cathrine Staff
Journal:  Int J Gynecol Cancer       Date:  2014-02       Impact factor: 3.437

2.  The utility of artificial neural networks and classification and regression trees for the prediction of endometrial cancer in postmenopausal women.

Authors:  V Pergialiotis; A Pouliakis; C Parthenis; V Damaskou; C Chrelias; N Papantoniou; I Panayiotides
Journal:  Public Health       Date:  2018-08-24       Impact factor: 2.427

3.  Specificity of the lactate dehydrogenase isoenzyme index as a preoperative screen for uterine sarcoma before myomectomy.

Authors:  Lauren E Spivack; J Christopher Glantz; Clare Lennon; Bala Bhagavath
Journal:  Fertil Steril       Date:  2020-10-15       Impact factor: 7.329

Review 4.  Epidemiology and Risk Factors of Uterine Fibroids.

Authors:  Dora Pavone; Sara Clemenza; Flavia Sorbi; Massimiliano Fambrini; Felice Petraglia
Journal:  Best Pract Res Clin Obstet Gynaecol       Date:  2017-10-01       Impact factor: 5.237

5.  Uterine sarcoma: a report of 10 cases studied by transvaginal color and pulsed Doppler sonography.

Authors:  A Kurjak; S Kupesic; H Shalan; S Jukic; D Kosuta; M Ilijas
Journal:  Gynecol Oncol       Date:  1995-12       Impact factor: 5.482

Review 6.  Ultrasound Features of Uterine Sarcomas.

Authors:  Jiyun Oh; Sung Bin Park; Hyun Jeong Park; Eun Sun Lee
Journal:  Ultrasound Q       Date:  2019-12       Impact factor: 1.657

7.  Smooth muscle tumors of uncertain malignant potential and leiomyosarcomas of the uterus: MR findings.

Authors:  Yumiko Oishi Tanaka; Masato Nishida; Hajime Tsunoda; Yoshikazu Okamoto; Hiroyuki Yoshikawa
Journal:  J Magn Reson Imaging       Date:  2004-12       Impact factor: 4.813

8.  Novel uterine sarcoma preoperative diagnosis score predicts the need for surgery in patients presenting with a uterine mass.

Authors:  Tomonori Nagai; Yasushi Takai; Taichi Akahori; Hiroaki Ishida; Tatsuya Hanaoka; Takahiro Uotani; Sho Sato; Shigetaka Matsunaga; Kazunori Baba; Hiroyuki Seki
Journal:  Springerplus       Date:  2014-11-18

Review 9.  Differentiating uterine sarcoma from leiomyoma: BET1T2ER Check!

Authors:  Janette Smith; Jeries Paolo Zawaideh; Hilal Sahin; Susan Freeman; Helen Bolton; Helen Clare Addley
Journal:  Br J Radiol       Date:  2021-05-05       Impact factor: 3.629

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