Acute colitis: differential diagnosis using multidetector CT

Vuitton, Lucine; Badet, N.; Koch, Stefan; Martino, Vincent Di; Delabrousse, Éric

doi:10.1016/j.crad.2014.11.008

Cited by 19 publications

(18 citation statements)

References 19 publications

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“…Ischemic enteritis often invades the sigmoid colon or splenic flexure, and mesenteric infiltration is a major radiological finding. These CT findings may help in differential diagnosis of the cause of acute diarrhea [45]. Different changes in the intestinal wall thickness caused by inflammation may be observed depending on the cause.…”

Section: Recommendations For Each Key Questionmentioning

confidence: 99%

Guideline for the Antibiotic Use in Acute Gastroenteritis

Kim

Park

et al. 2019

Infect Chemother

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Acute gastroenteritis is common infectious disease in community in adults. This work represents an update of ‘Clinical guideline for the diagnosis and treatment of gastrointestinal infections’ that was developed domestically in 2010. The recommendation of this guideline was developed regarding the following; epidemiological factors, test for diagnosis, the indications of empirical antibiotics, and modification of antibiotics after confirming pathogen. Ultimately, it is expected to decrease antibiotic misuse and prevent antibiotic resistance.

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Section: Recommendations For Each Key Questionmentioning

confidence: 99%

Guideline for the Antibiotic Use in Acute Gastroenteritis

Kim

Park

et al. 2019

Infect Chemother

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“…106 Pericolonic fat stranding and a "comb sign" are less common in infectious colitis compared with ischemic and inflammatory colitis. 102,106 Pseudomembranous colitis invariably involves the rectosigmoid colon and may present with pancolitis or segmental involvement with skip areas. Bowel wall thickening is severe, with an average thickness of 15 mm.…”

Section: Pearlsmentioning

confidence: 98%

Evaluating the Patient with Left Lower Quadrant Abdominal Pain

Bodmer

Thakrar

2015

Radiologic Clinics of North America

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“…The analysis results of this study showed that engorged vasa recta and lymphadenopathy were not statistically different between CD and UC, but there was a statistical difference in perienteric edema or inflammation. Some researchers have reported that the comb sign is a well-known sign of CD, which is attributed to mesenteric arterial arcades of affected segment changes including vascular dilatation, tortuosity, and conspicuous prominence and wide spacing of the vasa on the mesenteric side with the prominent comblike arrangement (31,39). Other researchers have studied the correlation between quantitative measures of comb sign with disease activity in CD (40).…”

Section: Analysis Of Ct Signsmentioning

confidence: 99%

An MSCT-based radiomics nomogram combined with clinical factors can identify Crohn’s disease and ulcerative colitis

Yan

Huang

et al. 2021

Ann Transl Med

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Background: We established and evaluated a radiomics nomogram based on multislice computed tomography (MSCT) arterial phase contrast-enhanced images to distinguish between Crohn's disease (CD) and ulcerative colitis (UC) objectively, quantitatively, and reproducibly. Methods: MSCT arterial phase-enhancement images of 165 lesions (99 CD, 66 UC) in 87 patients with inflammatory bowel disease (IBD) confirmed by endoscopy or surgical pathology were retrospectively analyzed. A total of 132 lesions (80%) were selected as the training cohort and 33 lesions (20%) as the test cohort. A total of 1648 radiomic features were extracted from each region of interest (ROI), and the Pearson correlation coefficient and tree-based method were used for feature selection. Five machine learning classifiers, including logistic regression (LR), support vector machine (SVM), random forest (RF), stochastic gradient descent (SGD), and linear discriminative analysis (LDA), were trained. The best classifier was evaluated and obtained, and the results were transformed into the Rscore. Three clinical factors were screened out from 8 factors by univariate analysis. The logistic regression method was used to synthesize the significant clinical factors and the Rscore to generate the nomogram, which was compared with the clinical model and LR model.Results: Among all machine learning classifiers, LR performed the best (AUC =0.8077, accuracy =0.697, sensitivity =0.8, specificity =0.5385), SGD model had the second best performance (AUC =0.8, accuracy =0.6667, sensitivity =0.75, specificity =0.5385), and the DeLong test results showed that there was no significant difference between LR and SGD (P=0.465>0.05), while the other models performed poorly.Texture features had the greatest impact on classification results among all imaging features. The significant features of the LR model were used to calculate the Rscore. The 3 significant clinical factors were perienteric edema or inflammation, CT value of arterial phase-enhancement (AP-CT value), and lesion location. Finally, a nomogram was constructed based on the 3 significant clinical factors and the Rscore, whose AUC (0.8846) was much higher than that of the clinical model (0.6154) and the LR model (0.8077). Conclusions:The nomogram is expected to provide a new auxiliary tool for radiologists to quickly identify CD and UC.

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Acute colitis: differential diagnosis using multidetector CT

Cited by 19 publications

References 19 publications

Guideline for the Antibiotic Use in Acute Gastroenteritis

Guideline for the Antibiotic Use in Acute Gastroenteritis

Evaluating the Patient with Left Lower Quadrant Abdominal Pain

An MSCT-based radiomics nomogram combined with clinical factors can identify Crohn’s disease and ulcerative colitis

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