Fransson Emma, Evertsson Maria, Lundberg Tyra, Hawez Tebin, Andersson Gustav, Granéli Christina, Cinthio Magnus, Erlöv Tobias, Stenström Pernilla
Department of Pediatric Surgery, Lund University, Skåne University Hospital, 22185 Lund, Sweden.
Department of Clinical Sciences Lund/Biomedical Engineering, Lund University, 22185 Lund, Sweden.
Diseases. 2025 Aug 16;13(8):264. doi: 10.3390/diseases13080264.
BACKGROUND/OBJECTIVES: Intraoperative frozen biopsies are essential during surgery for Hirschsprung's disease (HD). However, this method has several limitations with the need for a faster and real-time diagnostic alternative. For this, consistent histoanatomical and morphometric differences between aganglionic and ganglionic bowel must be established. The primary objective was to compare dimensions of bowel wall layers between aganglionic and ganglionic segments histopathologically in resected rectosigmoid specimens from children with HD. Secondary objectives were to design a diagnostic algorithm to distinguish aganglionosis from ganglionosis and assess whether full bowel wall thickness correlates with patient weight and age.
Each histoanatomic bowel wall layer-mucosa, submucosa, and muscularis propria's layers-was delineated manually on histopathological images. Mean thicknesses were calculated automatically using an in-house image analysis software. Paired parametric tests compared measurements in aganglionic and ganglionic segments.
Resected specimens from 30 children with HD were included. Compared to aganglionic bowel, ganglionic bowel showed a thicker muscularis interna (mean 0.666 mm versus 0.461 mm, CI -0.257-(-0.153), < 0.001), and a higher muscularis interna/muscularis externa ratio (2.047 mm versus 1.287 mm, CI -0.954-(-0.565), < 0.001). An algorithm based on these features achieved 100% accuracy in distinguishing aganglionosis from ganglionosis. No significant difference in full bowel wall thickness was found between aganglionic and ganglionic segments, nor any correlation with patient weight or age.
Histoanatomic layer thickness differs between aganglionic and ganglionic bowel, forming the basis of a diagnostic algorithm. Full bowel wall thickness was independent of patient weight and age.
背景/目的:术中冰冻活检在先天性巨结肠(HD)手术中至关重要。然而,该方法存在一些局限性,需要一种更快的实时诊断替代方法。为此,必须确定无神经节肠段和有神经节肠段之间一致的组织解剖学和形态学差异。主要目的是在组织病理学上比较HD患儿切除的直肠乙状结肠标本中无神经节段和有神经节段的肠壁各层尺寸。次要目的是设计一种诊断算法以区分无神经节症和有神经节症,并评估全肠壁厚度是否与患者体重和年龄相关。
在组织病理学图像上手动勾勒出每个组织解剖学肠壁层——黏膜层、黏膜下层和固有肌层。使用内部图像分析软件自动计算平均厚度。采用配对参数检验比较无神经节段和有神经节段的测量值。
纳入了30例HD患儿的切除标本。与无神经节肠段相比,有神经节肠段的内环肌更厚(平均0.666mm对0.461mm,可信区间-0.257-(-0.153),<0.001),内环肌/外纵肌比值更高(2.047mm对1.287mm,可信区间-0.954-(-0.565),<0.001)。基于这些特征的算法在区分无神经节症和有神经节症方面的准确率达到100%。无神经节段和有神经节段之间的全肠壁厚度无显著差异,且与患者体重或年龄均无相关性。
无神经节肠段和有神经节肠段的组织解剖学层厚度不同,构成了一种诊断算法的基础。全肠壁厚度与患者体重和年龄无关。