Next Article in Journal
Safety and Diagnostic Accuracy of the Transnasal Approach for Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration (EBUS-TBNA)
Next Article in Special Issue
Diagnosis Assistance in Colposcopy by Segmenting Acetowhite Epithelium Using U-Net with Images before and after Acetic Acid Solution Application
Previous Article in Journal
Prognostic Value for Perioperative Serum Total Cholesterol Level on Postoperative Long-Term Prognosis of Pancreatic Cancer: A Retrospective Clinical Study
Previous Article in Special Issue
Sonographic and Magnetic Resonance Characteristics of Gynecological Sarcoma
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Diagnostics
Volume 13
Issue 8
10.3390/diagnostics13081404
diagnostics-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Development of an Algorithm to Differentiate Uterine Sarcoma from Fibroids Using MRI and LDH Levels

by
Ayako Suzuki
1,
Aki Kido
2,
Mitsuru Matsuki
3,
Yasushi Kotani
1,*,
Kosuke Murakami
1,
Yukio Yamanishi
4,
Isao Numoto
3,
Hidekatsu Nakai
1,
Tomoyuki Otani
1,
Ikuo Konishi
5,
Masaki Mandai
5 and
Noriomi Matsumura
1
1
Department of Obstetrics and Gynecology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan
2
Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University, Kyoto 606-8507, Japan
3
Department of Radiology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan
4
Department of Obstetrics and Gynecology, Japanese Red Cross Wakayama Medical Center, Wakayama 640-8558, Japan
5
Department of Gynecology and Obstetrics, Kyoto University, Kyoto 606-8507, Japan
*
Author to whom correspondence should be addressed.
Diagnostics 2023, 13(8), 1404; https://doi.org/10.3390/diagnostics13081404
Submission received: 23 January 2023 / Revised: 10 April 2023 / Accepted: 10 April 2023 / Published: 12 April 2023
(This article belongs to the Special Issue Diagnosis and Management of Uterine Lesions)
Browse Figures
Versions Notes

Abstract

Background: This study aimed to establish an evaluation method for detecting uterine sarcoma with 100% sensitivity using MRI and serum LDH levels. Methods: One evaluator reviewed the MRI images and LDH values of a total of 1801 cases, including 36 cases of uterine sarcoma and 1765 cases of uterine fibroids. The reproducibility of the algorithm was also examined by four evaluators with different imaging experience and abilities, using a test set of 61 cases, including 14 cases of uterine sarcoma. Results: From the MRI images and LDH values of 1801 cases of uterine sarcoma and uterine fibroids, we found that all sarcomas were included in the group with a high T2WI and either a high T1WI, an unclear margin, or high LDH values. In addition, when cases with DWI were examined, all sarcomas had high DWI. Among the 36 sarcoma cases, the group with positive findings for T2WI, T1WI, margins, and serum LDH levels all had a poor prognosis (p = 0.015). The reproducibility of the algorithm was examined by four evaluators and the sensitivity of sarcoma detection ranged from 71% to 93%. Conclusion: We established an algorithm to distinguish uterine sarcoma if tumors in the myometrium with low T2WI and DWI are present.
Keywords: LDH; morcellator; MRI; myomectomy; uterine fibroid; uterine sarcoma LDH; morcellator; MRI; myomectomy; uterine fibroid; uterine sarcoma

Share and Cite

MDPI and ACS Style

Suzuki, A.; Kido, A.; Matsuki, M.; Kotani, Y.; Murakami, K.; Yamanishi, Y.; Numoto, I.; Nakai, H.; Otani, T.; Konishi, I.; et al. Development of an Algorithm to Differentiate Uterine Sarcoma from Fibroids Using MRI and LDH Levels. Diagnostics 2023, 13, 1404. https://doi.org/10.3390/diagnostics13081404

AMA Style

Suzuki A, Kido A, Matsuki M, Kotani Y, Murakami K, Yamanishi Y, Numoto I, Nakai H, Otani T, Konishi I, et al. Development of an Algorithm to Differentiate Uterine Sarcoma from Fibroids Using MRI and LDH Levels. Diagnostics. 2023; 13(8):1404. https://doi.org/10.3390/diagnostics13081404

Chicago/Turabian Style

Suzuki, Ayako, Aki Kido, Mitsuru Matsuki, Yasushi Kotani, Kosuke Murakami, Yukio Yamanishi, Isao Numoto, Hidekatsu Nakai, Tomoyuki Otani, Ikuo Konishi, and et al. 2023. "Development of an Algorithm to Differentiate Uterine Sarcoma from Fibroids Using MRI and LDH Levels" Diagnostics 13, no. 8: 1404. https://doi.org/10.3390/diagnostics13081404

APA Style

Suzuki, A., Kido, A., Matsuki, M., Kotani, Y., Murakami, K., Yamanishi, Y., Numoto, I., Nakai, H., Otani, T., Konishi, I., Mandai, M., & Matsumura, N. (2023). Development of an Algorithm to Differentiate Uterine Sarcoma from Fibroids Using MRI and LDH Levels. Diagnostics, 13(8), 1404. https://doi.org/10.3390/diagnostics13081404

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop