肝脏脂肪分数(UDFF)对多囊卵巢综合征患者肝脏脂肪含量的定量评估
Quantitative Evaluation of Ultrasound Derived Fat Fraction (UDFF) on Liver Fat Content in Patients with Polycystic Ovary Syndrome
DOI: 10.12677/acm.2024.1441020, PDF,   
作者: 孟伶芝, 杨宗利*:青岛大学附属医院腹部超声科,山东 青岛;时宁遥:潍坊医学院医学影像学院,山东 潍坊
关键词: UDFF多囊卵巢综合征超声代谢相关性脂肪性肝病UDFF Polycystic Ovary Syndrome Ultrasound Metabolic Related Fatty Liver Diseases
摘要: 目的:探讨肝脏脂肪分数(UDFF)对多囊卵巢综合征(PCOS)患者肝脏脂肪含量定量分析的价值。方法:选择2022年10月~2023年10月于青岛大学附属医院就诊的61例PCOS患者作为研究组,选择年龄相匹配的121例健康女性作为对照组,全部研究对象进行妇科多普勒超声检查及UDFF采集,测量研究对象的身高、体重、腹围、血压、空腹血糖、空腹胰岛素、胰岛素抵抗(HOMA-IR),雄激素(T)、甘油三酯(TG)、高密度脂蛋白(HDL)、低密度脂蛋白(LDL),比较两组资料,分析UDFF与各指标的相关性。结果:两组间BMI、腹围、HOMA-IR、T、TG、HDL比较差异有统计学意义(均P < 0.05),UDFF与体重指数(BMI)、腹围、HOMA-IR、T、TG、HDL均相关(P均 < 0.01),多元逐步回归分析显示,HOMA-IR、T、TG是UDFF的影响因素。结论:UDFF技术可以早期发现并定量分析多囊卵巢综合征患者的肝脏脂肪浸润,UDFF是一个新型、无创的定量评估肝脏脂肪含量的影像学技术。
Abstract: Objective: To explore the value of ultrasound derived fat fraction (UDFF) in quantitative analysis of liver fat content in patients with polycystic ovary syndrome (PCOS). Method: 61 PCOS patients who visited the Affiliated Hospital of Qingdao University from October 2022 to October 2023 were selected as the study group, and 121 healthy women who matched their age were selected as the control group. All study subjects underwent gynecological Doppler ultrasound examination and UDFF collection, and their height, weight, abdominal circumference, blood pressure, fasting blood glucose, fasting insulin, insulin resistance (HOMA-IR), androgen (T), and triglycerides (TG) were measured High density lipoprotein (HDL) and low-density lipoprotein (LDL) were compared to analyze the correlation between UDFF and various indicators. Results: The results showed that there was a statistically significant difference in BMI, abdominal circumference, HOMA-IR, T, TG, and HDL between the two groups (all P < 0.05). UDFF was correlated with body mass index (BMI), abdominal circumference, HOMA-IR, T, TG, and HDL (all P < 0.01). Multiple stepwise regression analysis showed that HOMA-IR, T, and TG were the influencing factors of UDFF. Conclusion: UDFF technology can detect and quantitatively analyze liver fat infiltration in patients with polycystic ovary syndrome in the early stage. UDFF is a novel, non-invasive imaging technique for quantitatively assessing liver fat content.
文章引用:孟伶芝, 时宁遥, 杨宗利. 肝脏脂肪分数(UDFF)对多囊卵巢综合征患者肝脏脂肪含量的定量评估[J]. 临床医学进展, 2024, 14(4): 290-296. https://doi.org/10.12677/acm.2024.1441020

参考文献

[1] Dapas, M. and Dunaif, A. (2022) Deconstructing a Syndrome: Genomic Insights into PCOS Causal Mechanisms and Classification. Endocrine Reviews, 43, 927-965. [Google Scholar] [CrossRef] [PubMed]
[2] Manzano-Nunez, R., Santana-Dominguez, M., Rivera-Esteban, J., et al. (2023) Non-Alcoholic Fatty Liver Disease in Patients with Poly Cystic Ovary Syndrome: A Systematic Review, Meta-Analysis, and Meta-Regression. Journal of Clinical Medicine, 12, Article No. 856. [Google Scholar] [CrossRef] [PubMed]
[3] Palomba, S., Piltonen, T.T. and Giudice, L.C. (2021) Endometrial Function in Women with Poly Cystic Ovary Syndrome: A Comprehensive Review. Human Reproduction Update, 27, 584-618. [Google Scholar] [CrossRef] [PubMed]
[4] Wu, J., Yao, X.-Y., Shi, R.-X., et al. (2018) A Potential Link between Poly Cystic Ovary Syndrome and Non-Alcoholic Fatty Liver Disease: An Update Meta-Analysis. Reproductive Health, 15, Article No. 77. [Google Scholar] [CrossRef] [PubMed]
[5] Liu, D., Gao, X., Pan, X.F., et al. (2023) The Hepato-Ovarian Axis: Genetic Evidence for a Causal Association between Non-Alcoholic Fatty Liver Disease and Poly Cystic Ovary Syndrome. BMC Medicine, 21, Article No. 62. [Google Scholar] [CrossRef] [PubMed]
[6] Arefhosseini, S., Ebrahimi-Mameghani, M., Najafipour, F., et al. (2022) Non-Alcoholic Fatty Liver Disease across Endocrinopathies: Interaction with Sex Hormones. Frontiers in Endocrinology (Lausanne), 13, Article ID: 1032361. [Google Scholar] [CrossRef] [PubMed]
[7] Shahbaz, M., Almatooq, H., Foucambert, P., et al. (2022) A Systematic Review of the Risk of Non-Alcoholic Fatty Liver Disease in Women with Poly Cystic Ovary Syndrome. Cureus, 14, E29928. [Google Scholar] [CrossRef] [PubMed]
[8] Eslami, B., Aletaha, N., Maleki-Hajiagha, A., et al. (2022) Evaluation of the Predictive Value of Body Mass Index (BMI), Waist Circumference, and Visceral Fat to Differentiate Non-Alcoholic Fatty Liver (MAFLD) in Women with Poly Cystic Ovary Syndrome. Journal of Research in Medical Sciences, 27, 37. [Google Scholar] [CrossRef
[9] De Robertis, R., Spoto, F., Autelitano, D., et al. (2023) Ultrasound-Derived Fat Fraction for Detection of Hepatic Steatosis and Quantification of Liver Fat Content. Radiologia Medica, 128, 1174-1180. [Google Scholar] [CrossRef] [PubMed]
[10] Zalcman, M., Barth, R.A. and Rubesova, E. (2023) Real-Time Ultrasound-Derived Fat Fraction in Pediatric Population: Feasibility Validation with MR-PDFF. Pediatric Radiology, 53, 2466-2475. [Google Scholar] [CrossRef] [PubMed]
[11] Xia, T., Du, M., Li, H., et al. (2023) Association between Liver MRI Proton Density Fat Fraction and Liver Disease Risk. Radiology, 309, E231007. [Google Scholar] [CrossRef] [PubMed]
[12] Otaghi, M., Azami, M., Khorshidi, A., et al. (2019) The Association between Metabolic Syndrome and Poly Cystic Ovary Syndrome: A Systematic Review and Meta-Analysis. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 2019, 1481-1489. [Google Scholar] [CrossRef] [PubMed]
[13] Varma, S.H., Tirupati, S., Pradeep, T., et al. (2019) Insulin Resistance and Hyperandrogenemia Independently Predict Nonalcoholic Fatty Liver Disease in Women with Polycystic Ovary Syndrome. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 2019, 1065-1069. [Google Scholar] [CrossRef] [PubMed]
[14] Gu, J., Liu, S., Du, S., et al. (2019) Diagnostic Value of MRI-PDFF for Hepatic Steatosis in Patients with Non-Alcoholic Fatty Liver Disease: A Meta-Analysis. European Radiology, 29, 3564-3573. [Google Scholar] [CrossRef] [PubMed]
[15] Huffman, A.M. and Romero, D.G. (2022) Nonalcoholic Fatty Liver Disease in Polycystic Ovary Syndrome: A Race against the Clock. Endocrinology, 163, bqac167. [Google Scholar] [CrossRef] [PubMed]
[16] Dogan, K., Helvacioglu, C., Baghaki, S., et al. (2020) Comparison of Body Mass Index and Metabolic Parameters with Serum Vaspin Levels in Women with Polycystic Ovary Syndrome. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14, 137-139. [Google Scholar] [CrossRef] [PubMed]
[17] Castera, L., Friedrich-Rust, M. and Loomba, R. (2019) Noninvasive Assessment of Liver Disease in Patients with Nonalcoholic Fatty Liver Disease. Gastroenterology, 156, 1264-1281.E4. [Google Scholar] [CrossRef] [PubMed]
[18] Reeder, S.B., Cruite, I., Hamilton, G., et al. (2011) Quantitative Assessment of Liver Fat with Magnetic Resonance Imaging and Spectroscopy. Journal of Magnetic Resonance Imaging, 34, 729-749. [Google Scholar] [CrossRef] [PubMed]
[19] Blukacz, Ł., Nowak, A., Wójtowicz, M., et al. (2022) Clinical Usefulness of Non-Invasive Metabolic-Associated Fatty Liver Disease Risk Assessment Methods in Patients with Full-Blown Poly Cystic Ovary Syndrome in Relation to the MRI Examination with the Ideal IQ Sequence. Biomedicines, 10, Article No. 2193. [Google Scholar] [CrossRef] [PubMed]
[20] Ferraioli, G., Raimondi, A., Maiocchi, L., et al. (2023) Liver Fat Quantification with Ultrasound: Depth Dependence of Attenuation Coefficient. Journal of Ultrasound in Medicine, 42, 2247-2255. [Google Scholar] [CrossRef] [PubMed]
[21] Labyed, Y. and Milkowski, A. (2020) Novel Method for Ultrasound-Derived Fat Fraction Using an Integrated Phantom. Journal of Ultrasound in Medicine, 39, 2427-2438. [Google Scholar] [CrossRef] [PubMed]
[22] Gao, J., Wong, C., Maar, M., et al. (2021) Reliability of Performing Ultrasound Derived SWE and Fat Fraction in Adult Livers. Clinical Imaging, 80, 424-429. [Google Scholar] [CrossRef] [PubMed]
[23] Franz, D., Weidlich, D., Freitag, F., et al. (2018) Association of Proton Density Fat Fraction in Adipose Tissue with Imaging-Based and Anthropometric Obesity Markers in Adults. International Journal of Obesity (London), 42, 175-182. [Google Scholar] [CrossRef] [PubMed]