Bertoli Davide, Mark Esben Bolvig, Liao Donghua, Okdahl Tina, Nauser Serena, Daugberg Louise Hostrup, Brock Christina, Brock Birgitte, Knop Filip Krag, Krogh Klaus, Brøndum Frøkjær Jens, Drewes Asbjørn Mohr
Mech-Sense, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Mølleparkvej 4, 9000 Aalborg, Denmark.
Department of Clinical Medicine, Aalborg University, 9000 Aalborg, Denmark.
J Clin Med. 2023 Sep 14;12(18):5968. doi: 10.3390/jcm12185968.
Diabetes-induced gastrointestinal (GI) symptoms are common but difficult to correctly diagnose and manage. We used multi-segmental magnetic resonance imaging (MRI) to evaluate structural and functional GI parameters in diabetic patients and to study the association with their symptomatic presentation. Eighty-six participants (46 with diabetes and GI symptoms, 40 healthy controls) underwent baseline and post-meal MRI scans at multiple timepoints. Questionnaires were collected at inclusion and following the scans. Data were collected from the stomach, small bowel, and colon. Associations between symptoms and collected data were explored. Utilizing machine learning, we determined which features differentiated the two groups the most. The patient group reported more symptoms at inclusion and during MRI scans. They showed 34% higher stomach volume at baseline, 40% larger small bowel volume, 30% smaller colon volume, and less small bowel motility postprandially. They also showed positive associations between gastric volume and satiety scores, gastric emptying time and reflux scores, and small bowel motility and constipation scores. No differences in gastric emptying were observed. Small bowel volume and motility were used as inputs to a classification tool that separated patients and controls with 76% accuracy. In this work, we studied structural and functional differences between patients with diabetes and GI symptoms and healthy controls and observed differences in stomach, small bowel, and colon volumes, as well as an adynamic small bowel in patients with diabetes and GI symptoms. Associations between recorded parameters and perceived symptoms were also explored and discussed.
糖尿病引起的胃肠道（GI）症状很常见，但难以正确诊断和处理。我们使用多段磁共振成像（MRI）来评估糖尿病患者的胃肠道结构和功能参数，并研究其与症状表现之间的关联。86名参与者（46名有糖尿病和胃肠道症状，40名健康对照）在多个时间点接受了基线和餐后MRI扫描。在纳入研究时和扫描后收集问卷。数据收集自胃、小肠和结肠。探索了症状与收集数据之间的关联。利用机器学习，我们确定了哪些特征最能区分这两组。患者组在纳入研究时和MRI扫描期间报告了更多症状。他们在基线时胃容积高34%，小肠容积大40%，结肠容积小30%，餐后小肠蠕动减少。他们还显示胃容积与饱腹感评分、胃排空时间与反流评分、小肠蠕动与便秘评分之间呈正相关。未观察到胃排空的差异。小肠容积和蠕动被用作一种分类工具输入，该工具区分患者和对照的准确率为76%。在这项研究中，我们研究了有糖尿病和胃肠道症状的患者与健康对照之间的结构和功能差异，观察到胃、小肠和结肠容积的差异，以及有糖尿病和胃肠道症状患者的小肠动力不足。还探索并讨论了记录参数与感知症状之间的关联。
