Validation of models using basic parameters to differentiate intestinal tuberculosis from Crohn's disease: A multicenter study from Asia

Significance of Epidemiological Background in Preventing the Misdiagnosis of Intestinal Tuberculosis as Crohn's Disease

The misdiagnosis of intestinal tuberculosis (ITB), such as Crohn's disease (CD), and subsequent treatment with immunosuppressive therapies can lead to severe outcomes. However, the differential diagnosis between these two conditions can be challenging. We herein report a patient from Myanmar who was initially diagnosed with CD due to the presence of non-caseating granulomas. The patient's symptoms were aggravated with steroid treatment, eventually leading to a diagnosis of ITB. In the international medical community, we encounter patients from countries, such as Myanmar, where tuberculosis is endemic. Therefore, it is necessary to understand the epidemiological background of each country to accurately distinguish between CD and ITB.

Deep Learning Radiomics Analysis of CT Imaging for Differentiating Between Crohn's Disease and Intestinal Tuberculosis

This study aimed to develop and evaluate a CT-based deep learning radiomics model for differentiating between Crohn's disease (CD) and intestinal tuberculosis (ITB). A total of 330 patients with pathologically confirmed as CD or ITB from the First Affiliated Hospital of Zhengzhou University were divided into the validation dataset one (CD: 167; ITB: 57) and validation dataset two (CD: 78; ITB: 28). Based on the validation dataset one, the synthetic minority oversampling technique (SMOTE) was adopted to create balanced dataset as training data for feature selection and model construction. The handcrafted and deep learning (DL) radiomics features were extracted from the arterial and venous phases images, respectively. The interobserver consistency analysis, Spearman's correlation, univariate analysis, and the least absolute shrinkage and selection operator (LASSO) regression were used to select features. Based on extracted multi-phase radiomics features, six logistic regression models were finally constructed. The diagnostic performances of different models were compared using ROC analysis and Delong test. The arterial-venous combined deep learning radiomics model for differentiating between CD and ITB showed a high prediction quality with AUCs of 0.885, 0.877, and 0.800 in SMOTE dataset, validation dataset one, and validation dataset two, respectively. Moreover, the deep learning radiomics model outperformed the handcrafted radiomics model in same phase images. In validation dataset one, the Delong test results indicated that there was a significant difference in the AUC of the arterial models (p = 0.037), while not in venous and arterial-venous combined models (p = 0.398 and p = 0.265) as comparing deep learning radiomics models and handcrafted radiomics models. In our study, the arterial-venous combined model based on deep learning radiomics analysis exhibited good performance in differentiating between CD and ITB.

Rapid Endoscopic Diagnosis of Benign Ulcerative Colorectal Diseases With an Artificial Intelligence Contextual Framework

BACKGROUND & AIMS

Benign ulcerative colorectal diseases (UCDs) such as ulcerative colitis, Crohn's disease, ischemic colitis, and intestinal tuberculosis share similar phenotypes with different etiologies and treatment strategies. To accurately diagnose closely related diseases like UCDs, we hypothesize that contextual learning is critical in enhancing the ability of the artificial intelligence models to differentiate the subtle differences in lesions amidst the vastly divergent spatial contexts.

METHODS

White-light colonoscopy datasets of patients with confirmed UCDs and healthy controls were retrospectively collected. We developed a Multiclass Contextual Classification (MCC) model that can differentiate among the mentioned UCDs and healthy controls by incorporating the tissue object contexts surrounding the individual lesion region in a scene and spatial information from other endoscopic frames (video-level) into a unified framework. Internal and external datasets were used to validate the model's performance.

RESULTS

Training datasets included 762 patients, and the internal and external testing cohorts included 257 patients and 293 patients, respectively. Our MCC model provided a rapid reference diagnosis on internal test sets with a high averaged area under the receiver operating characteristic curve (image-level: 0.950 and video-level: 0.973) and balanced accuracy (image-level: 76.1% and video-level: 80.8%), which was superior to junior endoscopists (accuracy: 71.8%, P < .0001) and similar to experts (accuracy: 79.7%, P = .732). The MCC model achieved an area under the receiver operating characteristic curve of 0.988 and balanced accuracy of 85.8% using external testing datasets.

CONCLUSIONS

These results enable this model to fit in the routine endoscopic workflow, and the contextual framework to be adopted for diagnosing other closely related diseases.

Distributable, metabolic PET reporting of tuberculosis

Tuberculosis remains a large global disease burden for which treatment regimens are protracted and monitoring of disease activity difficult. Existing detection methods rely almost exclusively on bacterial culture from sputum which limits sampling to organisms on the pulmonary surface. Advances in monitoring tuberculous lesions have utilized the common glucoside [18F]FDG, yet lack specificity to the causative pathogen Mycobacterium tuberculosis (Mtb) and so do not directly correlate with pathogen viability. Here we show that a close mimic that is also positron-emitting of the non-mammalian Mtb disaccharide trehalose - 2-[18F]fluoro-2-deoxytrehalose ([18F]FDT) - is a mechanism-based reporter of Mycobacteria-selective enzyme activity in vivo. Use of [18F]FDT in the imaging of Mtb in diverse models of disease, including non-human primates, successfully co-opts Mtb-mediated processing of trehalose to allow the specific imaging of TB-associated lesions and to monitor the effects of treatment. A pyrogen-free, direct enzyme-catalyzed process for its radiochemical synthesis allows the ready production of [18F]FDT from the most globally-abundant organic 18F-containing molecule, [18F]FDG. The full, pre-clinical validation of both production method and [18F]FDT now creates a new, bacterium-selective candidate for clinical evaluation. We anticipate that this distributable technology to generate clinical-grade [18F]FDT directly from the widely-available clinical reagent [18F]FDG, without need for either custom-made radioisotope generation or specialist chemical methods and/or facilities, could now usher in global, democratized access to a TB-specific PET tracer.

IBD barriers across the continents - East Asia

Inflammatory bowel diseases (IBDs) are chronic illnesses with significant morbidities and impact on patients' quality of life. There has been a rapid increase in the incidence of IBD in East Asia in recent decades. However, there is a huge unmet need in the diagnosis and management of IBD in this region. With the increasing awareness of IBD in East Asia and a persistently high rate of tuberculosis in this region, this poses a significant challenge in the diagnosis and management of IBD. In this review, we will explore the barriers to the diagnosis and management of IBD in the East Asia, hoping to provide an insight on how to improve the healthcare system in the management of this complex disease.

Technical performance and diagnostic yield of motorised spiral enteroscopy compared with single-balloon enteroscopy in suspected Crohn's disease: a randomised controlled, open-label study (the MOTOR-CD trial)

OBJECTIVE

Recent studies have shown that motorised spiral enteroscopy (MSE) enables deeper and total small bowel evaluation compared with single-balloon enteroscopy (SBE) in suspected Crohn's disease (CD) when analysed per procedure. However, no randomised controlled study has compared bidirectional MSE with bidirectional SBE in suspected CD.

DESIGN

Patients with suspected CD requiring small bowel enteroscopy were randomly assigned to either SBE or MSE between May 2022 and September 2022 in a high volume tertiary centre. Bidirectional enteroscopy was done if intended lesion could not be reached on unidirectional study. Comparison was made with regard to technical success (ability to reach lesion), diagnostic yield, depth of maximal insertion (DMI), procedure time and total enteroscopy rates. Depth:time ratio was calculated to avoid confounding for the location of lesion.

RESULTS

Among 125 suspected patients with CD (28% female, 18-65 years, median 41 years), 62 and 63 underwent MSE and SBE, respectively. The overall technical success (98.4 %: MSE, 90.5 %: SBE; p=0.11), diagnostic yield (95.2%: MSE; 87.3%: SBE, p=0.2) and procedure time were not significantly different. However, MSE appeared to have higher technical success (96.8% vs 80.7%, p=0.08) in deeper small bowel (distal jejunum/proximal ileum) with higher DMI, higher depth:time ratio and total enteroscopy rates when attempted (77.8% vs 11.1%, p=0.0007). Both the modalities were safe although minor adverse events were more common with MSE.

CONCLUSION

MSE and SBE have comparable technical success and diagnostic yield for small bowel evaluation in suspected CD. MSE scores over SBE with regard to deeper small bowel evaluation with complete small bowel coverage and higher depth of insertion in a shorter time.

TRIAL REGISTRATION NUMBER

NCT05363930.

Differentiating gastrointestinal tuberculosis and Crohn's disease- a comprehensive review

Gastrointestinal Tuberculosis (GITB) and Crohn's disease (CD) are both chronic granulomatous diseases with a predilection to involve primarily the terminal ileum. GITB is often considered a disease of the developing world, while CD and inflammatory bowel disease are considered a disease of the developed world. But in recent times, the epidemiology of both diseases has changed. Differentiating GITB from CD is of immense clinical importance as the management of both diseases differs. While GITB needs anti-tubercular therapy (ATT), CD needs immunosuppressive therapy. Misdiagnosis or a delay in diagnosis can lead to catastrophic consequences. Most of the clinical features, endoscopic findings, and imaging features are not pathognomonic for either of these two conditions. The definitive diagnosis of GITB can be clinched only in a fraction of cases with microbiological positivity (acid-fast bacilli, mycobacterial culture, or PCR-based tests). In most cases, the diagnosis is often based on consistent clinical, endoscopic, imaging, and histological findings. Similarly, no single finding can conclusively diagnose CD. Multiparametric-based predictive models incorporating clinical, endoscopy findings, histology, radiology, and serology have been used to differentiate GITB from CD with varied results. However, it is limited by the lack of validation studies for most such models. Many patients, especially in TB endemic regions, are initiated on a trial of ATT to see for an objective response to therapy. Early mucosal response assessed at two months is an objective marker of response to ATT. Prolonged ATT in CD is recognized to have a fibrotic effect. Therefore, early discrimination may be vital in preventing the delay in the diagnosis of CD and avoiding a complicated course.

Distributable, Metabolic PET Reporting of Tuberculosis

Tuberculosis remains a large global disease burden for which treatment regimens are protracted and monitoring of disease activity difficult. Existing detection methods rely almost exclusively on bacterial culture from sputum which limits sampling to organisms on the pulmonary surface. Advances in monitoring tuberculous lesions have utilized the common glucoside [18F]FDG, yet lack specificity to the causative pathogen Mycobacterium tuberculosis (Mtb) and so do not directly correlate with pathogen viability. Here we show that a close mimic that is also positron-emitting of the non-mammalian Mtb disaccharide trehalose - 2-[18F]fluoro-2-deoxytrehalose ([18F]FDT) - can act as a mechanism-based enzyme reporter in vivo. Use of [18F]FDT in the imaging of Mtb in diverse models of disease, including non-human primates, successfully co-opts Mtb-specific processing of trehalose to allow the specific imaging of TB-associated lesions and to monitor the effects of treatment. A pyrogen-free, direct enzyme-catalyzed process for its radiochemical synthesis allows the ready production of [18F]FDT from the most globally-abundant organic 18F-containing molecule, [18F]FDG. The full, pre-clinical validation of both production method and [18F]FDT now creates a new, bacterium-specific, clinical diagnostic candidate. We anticipate that this distributable technology to generate clinical-grade [18F]FDT directly from the widely-available clinical reagent [18F]FDG, without need for either bespoke radioisotope generation or specialist chemical methods and/or facilities, could now usher in global, democratized access to a TB-specific PET tracer.

Diagnostic yield and technical performance of the novel motorized spiral enteroscopy compared with single-balloon enteroscopy in suspected Crohn's disease: a prospective study (with video)

BACKGROUND AND AIMS

Both single-balloon enteroscopy (SBE) and the novel motorized spiral enteroscopy (NMSE) are effective techniques for device-assisted enteroscopy (DAE). To date, no study has prospectively compared both modalities in suspected Crohn's disease (CD).

METHODS

Patients with suspected CD undergoing either SBE or NMSE between March 2021 and December 2021 in a high-volume tertiary center were prospectively compared for technical success (ability to reach the lesion), diagnostic yield, depth of maximal insertion (DMI), procedure time, and total enteroscopy rates.

RESULTS

One hundred seventy-seven patients (37.2% female; aged 7-75 years) with suspected CD underwent 201 DAEs. Technical success was 83% (SBE 81.5% vs NMSE 87.3%, P = .61) and impacted subsequent management in 92% (SBE 88.5% vs NMSE 97.8%, P = .2). Technical success with antegrade NMSE was significantly higher (81.4%) than antegrade SBE (33.3%, P = .007) for lesions in the proximal ileum and beyond. There was no significant difference in the diagnostic yield (SBE 80.8% vs NMSE 83.6%, P = .65). Median procedure time was significantly lower in both antegrade (NMSE, 40 minutes [range, 10-75]; SBE, 60 minutes [range, 20-180]; P < .0001) and retrograde (NMSE, 25 minutes [range, 20-60]; SBE, 60 minutes [range, 20-180]; P < .0001) NMSE. Median DMI was higher with antegrade NMSE (NMSE, 400 cm [range, 70-600]; SBE, 180 cm [range, 60-430]; P < .0001). The total enteroscopy rate was higher with NMSE (37% vs .7% with SBE, P < .0001). All adverse events were mild.

CONCLUSIONS

Both NMSE and SBE are safe and effective for small-bowel evaluation in suspected CD. NMSE is superior to SBE with regard to deeper small-bowel evaluation with complete small-bowel coverage and shorter procedure time.

Recent advances in the diagnosis of intestinal tuberculosis

BACKGROUND

Intestinal tuberculosis still has a high incidence, especially in developing countries. The biggest challenge of this disease is the establishment of the diagnosis because the clinical features are not typical. Investigations such as culture, acid-fast bacilli (AFB) staining, and histopathology have low sensitivity, so other investigations are needed. Latest molecular-based diagnostic modalities such as GeneXpert, interferon-gamma (IFN-γ) release assays (IGRA), polymerase chain reaction (PCR), multiplex-PCR, and immunological markers are expected to help diagnose intestinal tuberculosis. This article review will examine the latest diagnostic modalities that can be used as a tool in establishing the diagnosis of intestinal tuberculosis.

RESULTS

Through a literature search, we were able to review the diagnostic values of various available diagnostic modalities as the appropriate additional test in intestinal tuberculosis. Culture as a gold standard has a sensitivity and specificity value of 9.3% and 100% with the MGIT BACTEC system as the most recommended medium. The sensitivity values of AFB staining, histopathology examination, GeneXpert, IGRA, PCR, multiplex-PCR and, immunological markers were ranged between 17.3 and 31%; 68%; 81-95.7%; 74-88%; 21.6-65%; 75.7-93.1%; and 52-87%, respectively. Meanwhile the specificity values were 100%; 77.1%; 91-100%; 74-87%; 93-100%; 96.4-100%; and 70-95%, respectively.

CONCLUSION

The combination of clinical examination, conventional examination, and the latest molecular-based examination is the best choice for establishing the diagnosis of intestinal tuberculosis. Most recent modalities such as multiplex PCR and immunological marker examinations are diagnostic tools that deserve to be used in diagnosing intestinal tuberculosis as their sensitivity and specificity values are quite high and more evidences are expected to support the application of these examinations shortly soon.

Differentiation of intestinal tuberculosis and Crohn's disease through an explainable machine learning method

Differentiation between Crohn’s disease and intestinal tuberculosis is difficult but crucial for medical decisions. This study aims to develop an effective framework to distinguish these two diseases through an explainable machine learning (ML) model. After feature selection, a total of nine variables are extracted, including intestinal surgery, abdominal, bloody stool, PPD, knot, ESAT-6, CFP-10, intestinal dilatation and comb sign. Besides, we compared the predictive performance of the ML methods with traditional statistical methods. This work also provides insights into the ML model’s outcome through the SHAP method for the first time. A cohort consisting of 200 patients’ data (CD = 160, ITB = 40) is used in training and validating models. Results illustrate that the XGBoost algorithm outperforms other classifiers in terms of area under the receiver operating characteristic curve (AUC), sensitivity, specificity, precision and Matthews correlation coefficient (MCC), yielding values of 0.891, 0.813, 0.969, 0.867 and 0.801 respectively. More importantly, the prediction outcomes of XGBoost can be effectively explained through the SHAP method. The proposed framework proves that the effectiveness of distinguishing CD from ITB through interpretable machine learning, which can obtain a global explanation but also an explanation for individual patients.

Guidelines for the management of patients with Crohn's disease. Recommendations of the Polish Society of Gastroenterology and the Polish National Consultant in Gastroenterology

This paper is an update of the diagnostic and therapeutic recommendations of the National Consultant for Gastroenterology and the Polish Society of Gastroenterology from 2012. It contains 46 recommendations for the diagnosis and treatment, both pharmacological and surgical, of Crohn's disease in adults. The guidelines were developed by a group of experts appointed by the Polish Society of Gastroenterology and the National Consultant in the field of Gastroenterology. The methodology related to the GRADE methodology was used to assess the quality and strength of the available recommendations. The degree of expert support for the proposed statement, assessment of the quality of evidence and the strength of the recommendation was assessed on a 6-point Likert scale. Voting results, quality and strength ratings with comments are included with each statement.