Back

QiC3: A novel automated quantitative immunohistological disease activity index for ileocolonic Crohn's disease and ulcerative colitis

Kadivar, M.; Alyamani, M.; Mori, M.; Kadivar, M.; Jonsson, J.; Hertervig, E.; Grip, O.; Svensson, L.; Erjefalt, J. S.; Marsal, J.

2026-06-09 gastroenterology
10.64898/2026.06.04.26354902 medRxiv
Show abstract

Background: Histological examination of mucosal tissue in inflammatory bowel diseases (IBD) is a sensitive tool to measure disease activity, and histological remission is emerging as a potentially important treatment target. There are several existing histopathological indices, but they often encompass caveats such as not primarily having been designed to measure the degree of inflammation, encompassing subjective components with poor intra- and interindividual reproducibility, and requiring expert pathologists who are scarce, thus resulting in extended response times. Aim: To construct a new computerized, automated index to objectively measure histological disease activity in the ileal and colonic mucosa, applicable to both Crohn's disease (CD) and ulcerative colitis (UC). Materials and methods: Ileocolonic biopsies were collected from control subjects and patients with CD or UC. A group of CD patients was sampled before and after 12 weeks of anti-TNF therapy. Another group of CD and UC patients functioned as a small validation cohort. Epithelial cells, neutrophils, macrophages, and T cells were immunohistochemically stained, followed by digitalization of the color signal and computerized delineation of the epithelial and lamina propria compartments. The various immune cell types within the epithelium and the lamina propria, respectively, were enumerated, and the numbers were compared between control subjects and patients with CD or UC. Results: The numbers of neutrophils and macrophages in the epithelium, and neutrophils in the lamina propria, showed the highest sensitivity and specificity for distinguishing control-subject tissues from CD and UC tissues. These three parameters were thus chosen to construct a new index, named QiC3 1.0, that could separate tissues from control subjects and patients with CD or UC with high precision. It performed equally well in a small validation cohort of patients. The QiC3 index correlated well with previously described histopathological indices, fecal calprotectin, and endoscopic scores in UC, but showed worse correlation with endoscopic scores in CD and symptomatic scores. When applying the new index to tissues from CD patients before and after therapy, it showed good responsiveness, demonstrating a distinct amelioration in the microscopic inflammatory status that corresponded well to improvements in histopathological scores. Conclusion: We describe a new quantitative, computerized, automated, non-subjective, and response-sensitive immunohistological index (QiC3) for measuring disease activity in ileal and colonic mucosal biopsies, suitable for both CD and UC.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Inflammatory Bowel Diseases
15 papers in training set
Top 0.1%
33.5%
2
Journal of Clinical Medicine
91 papers in training set
Top 0.1%
12.7%
3
Frontiers in Pharmacology
100 papers in training set
Top 0.4%
6.5%
50% of probability mass above
4
Frontiers in Medicine
113 papers in training set
Top 0.8%
4.9%
5
Scientific Reports
3102 papers in training set
Top 26%
4.4%
6
PLOS ONE
4510 papers in training set
Top 37%
3.7%
7
Frontiers in Immunology
586 papers in training set
Top 2%
3.1%
8
BMC Medicine
163 papers in training set
Top 2%
2.1%
9
American Journal of Gastroenterology
15 papers in training set
Top 0.2%
1.7%
10
Biomedicines
66 papers in training set
Top 0.8%
1.7%
11
Frontiers in Physiology
93 papers in training set
Top 3%
1.7%
12
Vaccines
196 papers in training set
Top 2%
1.2%
13
Computer Methods and Programs in Biomedicine
27 papers in training set
Top 0.6%
1.0%
14
Gastroenterology
40 papers in training set
Top 1%
1.0%
15
Cellular and Molecular Gastroenterology and Hepatology
41 papers in training set
Top 0.5%
0.9%
16
mSystems
361 papers in training set
Top 6%
0.9%
17
PeerJ
261 papers in training set
Top 12%
0.9%
18
Journal of Translational Medicine
46 papers in training set
Top 2%
0.8%
19
International Journal of Molecular Sciences
453 papers in training set
Top 13%
0.8%
20
eBioMedicine
130 papers in training set
Top 4%
0.8%
21
Modern Pathology
21 papers in training set
Top 0.4%
0.8%
22
Microbial Cell Factories
22 papers in training set
Top 0.5%
0.8%
23
Frontiers in Microbiology
375 papers in training set
Top 9%
0.7%
24
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 6%
0.7%
25
Immunology & Cell Biology
11 papers in training set
Top 0.4%
0.7%
26
Gut
36 papers in training set
Top 1%
0.5%
27
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 12%
0.5%