Colonoscopy for colonic wall thickening at computed tomography: a worthwhile pursuit?

A Study of Small and Large Bowel Wall Thickness Using Computed Tomography and Its Histopathological Correlation

BACKGROUND

Small bowel imaging presents significant challenges due to the bowel's length, narrow caliber, and complex looping. Accurate diagnosis of gastrointestinal disorders often requires detailed imaging to differentiate various pathologies, such as inflammatory bowel disease (IBD), infections, ischemic conditions, and neoplasms.

INTRODUCTION

The small bowel plays a crucial role in digestion and absorption and is susceptible to various pathologies. CT imaging is essential for diagnosing bowel wall thickening, which can indicate a range of conditions. Dual-energy CT (DECT) and CT enterography offer advanced imaging capabilities to address these diagnostic challenges. This study aims to evaluate the efficacy of CT in staging malignant lesions by correlating imaging findings with histopathology to enhance non-invasive diagnosis and treatment strategies.

METHODOLOGY

This cross-sectional study was conducted over two years at Era's Medical College and Hospital, Lucknow, India, with 60 subjects. Patients with abnormal bowel wall thickening (>5 mm) on ultrasound were included, while those with renal dysfunction or pregnancy were excluded. After informed consent, subjects consumed a mannitol solution before undergoing CT scans using a 384-slice Dual Energy CT scanner (Somatom Force, Siemens Healthcare, Erlangen, Germany). All images were post-processed on a workstation using Synovia software (Synovia Solution, Fort Worth, Texas), which allows for image analysis using three-material decomposition. Statistical analysis was performed using IBM SPSS Statistics for Windows, Version 26 (Released 2019; IBM Corp., Armonk, New York).

RESULTS

The majority of patients were young adults aged 20-39 years (63.33%), with a slight male predominance (53.33%). Abdominal pain was the most common complaint (35.00%). Mild wall thickening (<10 mm) was associated with IBD (48.28%), while marked thickening (>10 mm) was linked to neoplastic lesions (48.39%). Symmetrical thickening was common in infective and inflammatory conditions, whereas asymmetrical thickening was typical of neoplastic lesions. CT scans demonstrated high diagnostic accuracy, with 83.33% sensitivity, 95.24% specificity, 88.24% positive predictive value, and 93.02% negative predictive value, resulting in an overall accuracy of 91.67%.

CONCLUSION

The study highlights that neoplastic lesions are associated with marked bowel wall thickening, while inflammatory conditions present with mild thickening. CT scans proved highly effective in diagnosing gastrointestinal disorders, with significant accuracy in distinguishing between benign and malignant lesions. This underscores the importance of advanced imaging techniques in clinical practice for improved patient outcomes.

Radiomics-based machine learning in the differentiation of benign and malignant bowel wall thickening radiomics in bowel wall thickening

PURPOSE

To distinguish malignant and benign bowel wall thickening (BWT) by using computed tomography (CT) texture features based on machine learning (ML) models and to compare its success with the clinical model and combined model.

METHODS

One hundred twenty-two patients with BWT identified on contrast-enhanced abdominal CT and underwent colonoscopy were included in this retrospective study. Texture features were extracted from CT images using LifeX software. Feature selection and reduction were performed using the Least Absolute Shrinkage and Selection Operator (LASSO). Six radiomic features were selected with LASSO. In the clinical model, six features (age, gender, thickness, fat stranding, symmetry, and lymph node) were included. Six radiomic and six clinical features were used in the combined model. Classification was done using two machine learning algorithms: Support Vector Machine (SVM) and Logistic Regression (LR). The data sets were divided into 80% training set and 20% test set. Then, training took place with all three datasets. The model's success was tested with the test set consisting of features not used during training.

RESULTS

In the training set, the combined model had the best performance with the area under the curve (AUC) value of 0.99 for SVM and 0.95 for LR. In the radiomic-derived model, the AUC value is 0.87 in SVM and 0.79 in LR. In the clinical model, SVM made this distinction with 0.95 AUC and LR with 0.92 AUC value. In the test set, the classifier with the highest success distinguishing malignant wall thickening is SVM in the radiomic-derived model with an AUC value of 0.90. In other models, the AUC value is in the range of 0.75-0.86, and the accuracy values are in the range of 0.72-0.84.

CONCLUSION

In conclusion, radiomic-based machine learning has shown high success in distinguishing malignant and benign BWT and may improve diagnostic accuracy compared to clinical features only. The results of our study may help ensure early diagnosis and treatment of colorectal cancers by facilitating the recognition of malignant BWT.

Quantitative Assessment of Radiologically Indeterminate Local Colonic Wall Thickening on Iodine Density Images Using Dual-Layer Spectral Detector CT

RATIONALE AND OBJECTIVES

To assess local colonic wall thickening (LCWT, thicknesses: >3 mm, lengths: <5 cm) quantitatively on iodine density images using dual-layer spectral detector computed tomography (DLSCT).

MATERIALS AND METHODS

This retrospective study included 80 patients who underwent both conventional contrast-enhanced CT and colonoscopy within one month. The region of interest was delineated on the chosen images with the iodine density image model. The iodine concentration (IC), normalized IC (NIC), and thickness of the colonic wall in the lesion area were compared between the pathological and nonpathological groups.

RESULTS

There were 50 patients whose area of LCWT discovered at CT scans displayed colon neoplasia at colonoscopy. The other 30 patients with LCWT on CT images showed normal appearances during colonoscopy. There was no significant difference in colonic wall thickness between the pathological and nonpathological (p> 0.05) LCWT groups. The IC and NIC of patients with colon neoplasms were significantly higher than those with nonpathologic LCWT (both p< 0.001). The ROC curve showed that when IC and NIC was 1.49 mg/mL and 0.33, the sensitivity and specificity for diagnosing colon neoplasm were 91.5% and 75.8%, 85.1% and 84.8%, respectively.

CONCLUSION

IC and NIC values from DLSCT could provide a satisfied diagnostic value to identify LCWT caused by colon neoplasia.

Predictors of Neoplasia in Colonic Wall Thickening Detected via Computerized Tomography

Introduction

Colonic wall thickening (CWT) is frequently observed incidentally via abdominal computerized tomography (aCT). Although the general approach to evaluating incidental CWT is a colonoscopic examination, there is a lack of definitive recommendation guidelines. Thus, we aimed to determine neoplasia rates and identify the factors predictive of neoplasia via colonoscopic examinations of patients with CWT incidentally diagnosed via aCT.

Methods

We retrospectively reviewed 5,300 colonoscopy reports. A total of 122 patients who had CWT incidentally observed via aCT were included in the study. CWT was graded as mild (3-5 mm), moderate (6-12 mm), or severe (≥12 mm). A logistic regression model was used to determine the predictive factors for neoplasia.

Results

The mean age of the patients was 60 years, and abnormal findings were noted in 52% of the colonoscopies. Neoplastic lesions were detected in 24 patients (19.6%), while colon adenocarcinoma was detected in 8 patients (6.5%). Multivariate analysis showed that moderate-severe, focal, and asymmetric CWT were independent factors for predicting neoplasia (p=0.049, p=0.033, and p=0.018, respectively).

Conclusion

Pathological findings can be noted via colonoscopic examination in cases of incidental CWT; therefore, patients with moderate-severe, focal, or asymmetric CWT require colonoscopic examination for the purpose of detecting neoplasia.

Endoscopic evaluation of patients with colonic wall thickening detected ON computed tomography

Colorectal wall thickening is a condition which is occasionally encountered on computed tomography (CT) investigations. Malignancies and inflammatory bowel disease (IBD) may be the most common and most important pathologies in some cases. Our objective in this study was to evaluate colonoscopy results in patients with increased colorectal wall thickness identified on CT. Patients with colorectal wall thickening detected on abdominal CT taken for different indications in different healthcare facilities between October 2009 and March 2015 were evaluated. These patients were referred to gastroenterology department, received colonoscopy, and the results were compared retrospectively and statistically. A total of 132 patients having undergone colonoscopy for colonic wall thickening detected on CT were evaluated retrospectively. With the colonoscopies performed, malignancies were detected in 38 (28.8%), Crohn’s disease in two (1.5%), diverticulitis in 18 (13.6%) and colorectal polyp in 30 (22.7%) patients. Colonoscopy results were normal in 44 patients. All patients with colorectal malignancies were over 60 years of age, yielding a statistically significant figure (p=0.01). The mean hemoglobin level was 12.8 g/dL in patients with normal colonoscopy as compared with 9.5 g/dL in those with malignancies (p=0.001). On multivariate analysis, hemoglobin and age were the only significant variables to predict an abnormal result on endoscopy. Detecting colonic wall thickening on CT may indicate malignancy, especially in patients who are over 50 years of age and have hemoglobin values less than 10 g/dL.

Systematic review and meta-analysis: does colonic mural thickening on CT correlate with endoscopic findings at colonoscopy?

BACKGROUND

Colonic mural thickening (MT) is often reported on standard CT examinations of the abdomen and pelvis. It often presents a dilemma for the clinician on whether any further evaluation is needed, especially in the absence of any set guidelines.

OBJECTIVE

To evaluate the significance of colonic MT and to assess its correlation with colonoscopy.

METHODS

The search strategy was initially developed in Medline and adapted for use in Embase, Medline, NHS Evidence and TRIP. Studies were included if they had reported colonic MT and subsequent colonoscopy in adults.

RESULTS

A total of 9 cohort studies examining 1252 patients were selected having undergone both CT and colonoscopy. Of the 1252 patients with MT, 950 had an abnormal colonoscopy. In the presence of MT, the pooled positive predictive value (PPV) of having any abnormal findings at colonoscopy was 0.73 (95% CI 0.60 to 0.84). The pooled PPV for colorectal cancer, in the presence of MT reporting suspicion of cancer, was 0.63 (95% CI 0.49 to 0.75), and MT suggestive of inflammation confirmed at colonoscopy was 0.97.

CONCLUSION

The probability of having an abnormal colonoscopy in the presence of MT identified on CT is high, especially for inflammation. Asymptomatic cancers may also be detected; hence, further endoscopic confirmation is reasonable when a finding of MT is demonstrated on CT examinations. Small sample sizes of the available studies and lack of data on the description of MT detected are the main limiting factors in this review.

TRIAL REGISTRATION NUMBER

CRD42016039378.

Poor Agreement Between Imaging and Histologic and Colonoscopy Findings in Pediatric Patients

BACKGROUND

Computed tomography scans (CTs), more recently magnetic resonance imaging, are often used to assess the gastrointestinal tract in patients complaining of abdominal pain. We aim to determine the strength of agreement among abdominal imaging, endoscopic, and histologic findings.

METHODS

Retrospective chart review of pediatric patients who underwent colonoscopy between January 1, 2012, and December 31, 2014, at Women and Children's Hospital of Buffalo. Patients who had abdominal and pelvic CTs or magnetic resonance imaging within 30 days before or after a colonoscopy were included.

RESULTS

One hundred two patients were included: mean age 12.7 ± 3.8 years, 66% girls. A total of 109 imaging studies were performed. Overall 61% of imaging studies were abnormal. The most frequent intestinal radiological findings were colonic wall thickening (CWT) (55%) and colonic wall enhancement (CWH) (24%). Free fluid (20%) and fat stranding (18%) were the most common extra-intestinal findings. Imaging studies agreed with histology in 81% and with colonoscopy in 75% with a moderate strength of agreement (k: 0.59 and 0.466, respectively). CWT agreed with histology in 74% with a moderate strength of agreement (k: 0.47). History of weight loss (OR 5.35, P = 0.041), chronic diarrhea (OR 4.22, P = 0.014), a positive lactoferrin (OR 7.00, P = 0.011), and presence of CWT on imaging study (OR 5.20, P = 0.001) were predictive of having abnormal histology.

CONCLUSIONS

The strength of agreement among imaging, endoscopic, and histologic findings was suboptimal. Colonoscopy and imaging are both likely to be necessary in patients with suspected inflammatory bowel disease. Although colonoscopy may be superior in diagnosis of colitis, imaging may provide more information regarding small bowel disease.

Computed tomography findings of bowel wall thickening: its significance and relationship to endoscopic abnormalities

INTRODUCTION

The aim of this study was to conduct retrospective analysis of abdominopelvic computed tomography (CT) reports, identifying those patients in whom bowel wall thickening (BWT) was observed, and to correlate these reports with subsequent endoscopic evaluation.

METHODS

Formal reports for all patients undergoing abdominopelvic CT between February 2007 and September 2009 were reviewed. Where patients were identified as having colorectal 'wall thickening', results of subsequent endoscopic evaluations were documented. Only those patients with a report of BWT who had follow-up endoscopy (colonoscopy, sigmoidoscopy) were included in the analysis.

RESULTS

A total of 165 patients were included. Abnormalities on endoscopy at the exact site of the BWT on CT were found in 95 patients (57.58%); in 36 cases (21.82%) this was a malignant lesion. BWT of the transverse colon was significantly more likely to correspond to an endoscopic finding of cancer than other sites (p=0.034). Rectal bleeding was reported significantly more often in patients with BWT and neoplastic disease on endoscopy compared with those with normal endoscopy (p=0.04). Excluding patients with inflammatory/diverticular lesions, 59.02% of Caucasians had a neoplastic lesion at the site of reported BWT, significantly higher than the other ethnic groups (p=0.008). There were 38 patients (23.03%) who did not present with bowel symptoms and, of these, 6 were diagnosed subsequently with colorectal cancer.

CONCLUSIONS

This study supports endoscopic evaluation to investigate patients with CT evidence of BWT, especially in cases involving the transverse colon, in Caucasian patients or in association with symptoms of rectal bleeding.