Department of Medical and Health Sciences, University Hospital, Linköping, Sweden; Department of Gastroenterology and Hepatology, University Hospital, Linköping, Sweden.
Department of Medical and Health Sciences, University Hospital, Linköping, Sweden; Wolfram MathCore AB, University Hospital, Linköping, Sweden; Center for Medical Image Science and Visualization (CMIV), University Hospital, Linköping, Sweden.
Gastroenterology. 2017 Jul;153(1):53-55.e7. doi: 10.1053/j.gastro.2017.03.005. Epub 2017 Mar 9.
It is possible to estimate hepatic triglyceride content by calculating the proton density fat fraction (PDFF), using proton magnetic resonance spectroscopy (H-MRS), instead of collecting and analyzing liver biopsy specimens to detect steatosis. However, the current PDFF cut-off value (5%) used to define steatosis by magnetic resonance was derived from studies that did not use histopathology as the reference standard. We performed a prospective study to determine the accuracy of H-MRS PDFF in the measurement of steatosis using histopathology analysis as the standard. We collected clinical, serologic, H-MRS PDFF, and liver biopsy data from 94 adult patients with increased levels of liver enzymes (≥6 mo) referred to the Department of Gastroenterology and Hepatology at Linköping University Hospital in Sweden from 2007 through 2014. Steatosis was graded using the conventional histopathology method and fat content was quantified in biopsy samples using stereologic point counts (SPCs). We correlated the H-MRS PDFF findings with SPCs (r = 0.92; P < .001). H-MRS PDFF results correlated with histopathology results (ρ = 0.87; P < .001), and SPCs correlated with histopathology results (ρ = 0.88; P < .001). All 25 subjects with PDFF values of 5.0% or more had steatosis based on histopathology findings (100% specificity for PDFF). However, of 69 subjects with PDFF values less than 5.0% (negative result), 22 were determined to have steatosis based on histopathology findings (53% sensitivity for PDFF). Reducing the PDFF cut-off value to 3.0% identified patients with steatosis with 100% specificity and 79% sensitivity; a PDFF cut-off value of 2.0% identified patients with steatosis with 94% specificity and 87% sensitivity. These findings might be used to improve noninvasive detection of steatosis.
可以通过质子磁共振波谱(H-MRS)计算质子密度脂肪分数(PDFF)来估计肝内甘油三酯含量,而无需采集和分析肝活检标本来检测脂肪变性。然而,目前用于通过磁共振定义脂肪变性的 PDFF 截止值(5%)是由未使用组织病理学作为参考标准的研究得出的。我们进行了一项前瞻性研究,以确定使用组织病理学分析作为标准时 H-MRS PDFF 测量脂肪变性的准确性。我们从 2007 年至 2014 年,从瑞典林雪平大学医院的胃肠病学和肝脏病学系收集了 94 名肝酶升高(≥6 个月)的成年患者的临床、血清学、H-MRS PDFF 和肝活检数据。使用常规组织病理学方法对脂肪变性进行分级,并使用立体学点计数(SPC)对活检样本中的脂肪含量进行定量。我们将 H-MRS PDFF 结果与 SPC 相关联(r=0.92;P<.001)。H-MRS PDFF 结果与组织病理学结果相关(ρ=0.87;P<.001),SPC 与组织病理学结果相关(ρ=0.88;P<.001)。所有 25 名 PDFF 值为 5.0%或更高的受试者根据组织病理学结果均存在脂肪变性(PDFF 的特异性为 100%)。然而,在 69 名 PDFF 值小于 5.0%(阴性结果)的受试者中,根据组织病理学结果有 22 名被确定为存在脂肪变性(PDFF 的敏感性为 53%)。将 PDFF 截止值降低到 3.0%可使具有 100%特异性和 79%敏感性的患者识别出脂肪变性;PDFF 截止值为 2.0%时,具有 94%特异性和 87%敏感性的患者可识别出脂肪变性。这些发现可能用于改善脂肪变性的非侵入性检测。