Developing a Preoperative Algorithm for the Diagnosis of Uterine Leiomyosarcoma
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data Collection
2.2. Statistical Analyses
3. Results
3.1. Menopausal Status and Symptomatalogy
3.2. Imaging
3.3. Endometrial Biopsy Result
3.4. Blood Test Results
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Parameter | No. LMA (%) n = 159 | No. LMS (%) n = 31 | p-Value | OR (95% CI) |
---|---|---|---|---|
Postmenopausal | 39 (24.7) | 30 (56.7) | <0.001 | 3.08 (1.61–5.91) |
Pressure | 24 (15.1) | 31 (38.7) | 0.002 | 2.7 (1.45–5.05) |
PMB * | 13 (33.3) | 17 (82.4) | 0.001 | 5.01 (1.62–15.54) |
Atypia/neoplasia | 5 (6.4) | 10 (40) | 0.001 | 9.6 (2.02–45.5) |
Hb < 118 g/L | 28 (25) | 30 (56.7) | 0.037 | 2.22 (1.04–4.74) |
Neutrophil count ≥ 7.5 × 109/L | 9 (8) | 30 (33.3) | <0.001 | 5.72 (2.06–15.87) |
Mass ≥ 10 cm | 30 (29.1) | 27 (77.8) | <0.001 | 8.52 (3.13–23.2) |
Demographic | Subcategory | No. LMA (%) | No. LMS (%) | p-Value |
---|---|---|---|---|
Age | 31–40 years | 11 (6.9) | 2 (6.5) | 0.28 |
41–49 years | 90 (56.6) | 13 (46.9) | ||
>50 years | 58 (36.5) | 16 (51.6) | ||
Ethnicity | White British | 141 (88.7) | 26 (96.3) | 0.53 |
Asian British | 6 (3.8) | 1 (3.7) | ||
Black British | 2 (1.3) | 0 | ||
Other | 10 (6.3) | 0 | ||
Body Mass Index (kg/m2) | <20 | 4 (2.5) | 0 | 0.62 |
20–29 | 84 (52.8) | 17 (56.7) | ||
30–39 | 62 (40) | 10 (33.3) | ||
>40 | 9 (5.7) | 3 (10) | ||
Parity | Nulliparous | 10 (9.1) | 5 (20) | 0.44 |
1 | 23 (20.9) | 2 (8) | ||
2 | 49 (44.6) | 13 (52) | ||
3 | 21 (19.1) | 4 (16) | ||
4 | 5 (4.6) | 1 (4) | ||
5+ | 2 (1.8) | 0 | ||
Menopausal status | Premenopausal | 119 (75.3) | 13 (34.3) | <0.001 |
Postmenopausal | 39 (24.7) | 17 (56.7) |
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Lawlor, H.; Ward, A.; Maclean, A.; Lane, S.; Adishesh, M.; Taylor, S.; DeCruze, S.B.; Hapangama, D.K. Developing a Preoperative Algorithm for the Diagnosis of Uterine Leiomyosarcoma. Diagnostics 2020, 10, 735. https://doi.org/10.3390/diagnostics10100735
Lawlor H, Ward A, Maclean A, Lane S, Adishesh M, Taylor S, DeCruze SB, Hapangama DK. Developing a Preoperative Algorithm for the Diagnosis of Uterine Leiomyosarcoma. Diagnostics. 2020; 10(10):735. https://doi.org/10.3390/diagnostics10100735
Chicago/Turabian StyleLawlor, Hannah, Alexandra Ward, Alison Maclean, Steven Lane, Meera Adishesh, Sian Taylor, Shandya Bridget DeCruze, and Dharani Kosala Hapangama. 2020. "Developing a Preoperative Algorithm for the Diagnosis of Uterine Leiomyosarcoma" Diagnostics 10, no. 10: 735. https://doi.org/10.3390/diagnostics10100735