Literature DB >> 28805609

Efficacy of PET/CT to exclude leiomyoma in patients with lesions suspicious for uterine sarcoma on MRI.

Soshi Kusunoki1, Yasuhisa Terao2, Takafumi Ujihira3, Kazunari Fujino4, Hiroshi Kaneda5, Miki Kimura6, Tsuyoshi Ota7, Satoru Takeda8.   

Abstract

OBJECTIVE: To analyze the efficacy of positron emission tomography/computed tomography (PET/CT) for the diagnosis of uterine sarcoma.
MATERIALS AND METHODS: Thirty-four patients evaluated between January 2010 and March 2015 were retrospectively enrolled. All patients in whom uterine sarcoma was suspected based on contrast-enhanced magnetic resonance imaging (MRI) findings (heterogeneous, high signal intensity on T2-weighted images and/or high intensity on T1-weighted images) underwent PET/CT for further assessment. Patients were divided into 2 groups based on postoperative pathological findings: uterine sarcoma (n = 15) and leiomyoma (n = 19). The maximum standardized uptake value (SUVmax) of all lesions was measured using PET/CT; we calculated the optimal cutoff value for diagnosing sarcoma.
RESULTS: The median SUVmax for uterine sarcoma and leiomyoma was 12 and 4.1, respectively; these values were significantly different. An SUVmax of greater than 7.5 was able to exclude leiomyoma with 80.8% sensitivity and 100% specificity (area under the curve, 95.3%). A cutoff SUVmax of 7.5 yields 100% specificity, and a cutoff SUVmax of 4.4 yields a 100% negative predictive value (NPV). The combination of PET/CT and lactate dehydrogenase (LDH) levels had a sensitivity of 86.6%, specificity of 100%, positive predictive value of 100%, and an NPV of 90.4%. No relation between histopathology or International Federation of Gynecology and Obstetrics (FIGO) stage and 18-fluoro-2-deoxy-d-glucose uptake value on PET/CT was seen. The surgical outcome trended toward a correlation with the SUVmax, although this was not statistically significant.
CONCLUSIONS: In patients with MRI findings consistent with either uterine sarcoma or leiomyoma, PET/CT can decrease the false-positive rate by setting an optimal cutoff SUVmax of 7.5. Using this cutoff can avoid unnecessary surgery.
Copyright © 2017. Published by Elsevier B.V.

Entities:  

Keywords:  Leiomyoma; MRI; PET/CT; Uterine sarcoma

Mesh:

Substances:

Year:  2017        PMID: 28805609     DOI: 10.1016/j.tjog.2017.05.003

Source DB:  PubMed          Journal:  Taiwan J Obstet Gynecol        ISSN: 1028-4559            Impact factor:   1.705


  9 in total

1.  Metastatic uterine leiomyosarcoma at 26 weeks gestation.

Authors:  Naomi Eastwood-Wilshere; Jessica Turner; Niara Oliveira; Adam Morton
Journal:  BMJ Case Rep       Date:  2019-08-04

Review 2.  Circulating Transcripts and Biomarkers in Uterine Tumors: Is There a Predictive Role?

Authors:  Christine De Bruyn; Thaïs Baert; Thierry Van den Bosch; An Coosemans
Journal:  Curr Oncol Rep       Date:  2020-01-29       Impact factor: 5.075

Review 3.  Advances in the Preoperative Identification of Uterine Sarcoma.

Authors:  Junxiu Liu; Zijie Wang
Journal:  Cancers (Basel)       Date:  2022-07-20       Impact factor: 6.575

Review 4.  Preoperative Differentiation of Uterine Leiomyomas and Leiomyosarcomas: Current Possibilities and Future Directions.

Authors:  Klaudia Żak; Bartłomiej Zaremba; Alicja Rajtak; Jan Kotarski; Frédéric Amant; Marcin Bobiński
Journal:  Cancers (Basel)       Date:  2022-04-13       Impact factor: 6.575

Review 5.  Uterine fibroid-like tumors: spectrum of MR imaging findings and their differential diagnosis.

Authors:  Yenpo Lin; Ren-Chin Wu; Yen-Ling Huang; Kueian Chen; Shu-Chi Tseng; Chin-Jung Wang; Angel Chao; Chyong-Huey Lai; Gigin Lin
Journal:  Abdom Radiol (NY)       Date:  2022-03-26

Review 6.  Review of uterine fibroids: imaging of typical and atypical features, variants, and mimics with emphasis on workup and FIGO classification.

Authors:  Muhammad O Awiwi; Mohamed Badawy; Akram M Shaaban; Christine O Menias; Jeanne M Horowitz; Moataz Soliman; Corey T Jensen; Ayman H Gaballah; Juan J Ibarra-Rovira; Myra K Feldman; Mindy X Wang; Peter S Liu; Khaled M Elsayes
Journal:  Abdom Radiol (NY)       Date:  2022-05-13

Review 7.  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

8.  Diagnostic Value of Preoperative CA125, LDH and HE4 for Leiomyosarcoma of the Female Reproductive System.

Authors:  Fenfen Zhang; Yao Liu; Quan Quan; Yu Meng; Xiaoling Mu
Journal:  Cancer Manag Res       Date:  2021-06-14       Impact factor: 3.989

Review 9.  New imaging modalities to distinguish rare uterine mesenchymal cancers from benign uterine lesions.

Authors:  Pamela Causa Andrieu; Sungmin Woo; Tae-Hyung Kim; Elizabeth Kertowidjojo; Anjelica Hodgson; Simon Sun
Journal:  Curr Opin Oncol       Date:  2021-09-01       Impact factor: 3.915

  9 in total

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