An Integrated Review of Conventional and Emerging Diagnostic and Therapeutic Modalities to Reduce the Risk of Surgical Resections in Intestinal Tuberculosis
Abstract
1. Introduction
2. Materials and Methods
2.1. Literature Search Strategy
2.2. Eligibility Criteria
2.3. Study Selection and Data Synthesis
3. Results
3.1. Search Results and Study Inclusion
3.2. Study Characteristics
3.3. Clinical Presentation and Risk Factors
4. Diagnostic Modalities in Intestinal Tuberculosis
4.1. Radiologic Imaging
4.2. Endoscopic Evaluation
4.3. Histopathology and Microbiological Diagnosis
4.4. Molecular Diagnostic Techniques
4.5. Sample Collection and Processing for Diagnostic Testing
4.6. Diagnostic Test Performance
4.7. Emerging Diagnostic Technologies
| Diagnostic Test | Sensitivity (%) | Specificity (%) | References |
|---|---|---|---|
| Acid-fast bacilli smear (tissue) | 5–35 | 95–100 | [40,41,42] |
| Mycobacterial culture (tissue) | 15–45 | 98–100 | [40,41,43] |
| Histopathology (caseating granulomas) | 35–65 | 85–95 | [40,42,44] |
| PCR (tissue) | 55–80 | 85–95 | [27,41,45] |
| GeneXpert MTB/RIF (tissue) | 45–75 | 95–100 | [6,7,46] |
| GeneXpert MTB/RIF Ultra (tissue) | 60–85 | 95–100 | [29,47] |
| Serum ADA | 55–75 | 70–90 | [33,48] |
| Ascitic fluid ADA | 85–95 | 85–95 | [33,49] |
| Fecal calprotectin | 70–85 * | 40–60 * | [50,51,52] |
5. Differential Diagnosis Between Intestinal Tuberculosis and Crohn’s Disease
6. Therapeutic Strategies for Intestinal Tuberculosis
6.1. Anti-Tubercular Therapy
6.2. Management of Drug-Resistant Tuberculosis
6.3. Adjunctive and Host-Directed Therapies
6.4. Paradoxical Reactions and Immune Reconstitution
6.5. Treatment Monitoring and Follow-Up
7. Minimally Invasive and Surgical Management
7.1. Endoscopic Management of Intestinal Strictures
7.2. Surgical Indications
7.3. Laparoscopic and Minimally Invasive Surgery
8. Biomarkers and Monitoring of Treatment Response
8.1. Fecal Biomarkers
8.2. Serum Biomarkers
8.3. Emerging Biomarkers
8.4. Monitoring Treatment Response
9. Future Perspectives and Emerging Technologies
9.1. Artificial Intelligence in Diagnostic Imaging
9.2. Innovations in Diagnostic Approaches for Intestinal Tuberculosis
9.3. Precision Medicine Approaches
10. Conclusions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| Abbreviation | Full Term |
| ADA | Adenosine deaminase |
| AFB | Acid-fast bacilli |
| AI | Artificial intelligence |
| ATT | Anti-tubercular therapy |
| CFU | Colony-forming units |
| CRISPR | Clustered regularly interspaced short palindromic repeats |
| CT | Computed tomography |
| DNA | Deoxyribonucleic acid |
| EUS | Endoscopic ultrasound |
| GeneXpert | GeneXpert MTB/RIF (Xpert MTB/RIF rapid molecular assay) |
| HIV | Human immunodeficiency virus |
| IBD | Inflammatory bowel disease |
| ITB | Intestinal tuberculosis |
| LOD | Limit of detection |
| MDR-TB | Multidrug-resistant tuberculosis |
| MeSH | Medical Subject Headings |
| MTB | Mycobacterium tuberculosis |
| NGS | Next-generation sequencing |
| PCR | Polymerase chain reaction |
| PRISMA | Preferred Reporting Items for Systematic Reviews and Meta-Analyses |
| RIF | Rifampicin |
| TB | Tuberculosis |
| WHO | World Health Organization |
| XDR-TB | Extensively drug-resistant tuberculosis |
Appendix A
Appendix A.1. Characteristics of Studies
| Study (Author, Year) [Ref] | Study Type | Key Findings Relevant to ITB | Limitations/Risk of Bias |
| Zeng et al., 2023 [1] | Retrospective cohort | Ileocecal involvement in 82% of cases; CT enterography sensitivity 78%. | Single-center; retrospective design. |
| Choudhury et al., 2023 [2] | Comprehensive review | Necrotic nodes are key differentiator (OR 4.5) between ITB and Crohn’s. | Narrative review; potential selection bias. |
| Al-Zanbagi & Shariff, 2021 [3] | Systematic review | Pooled sensitivity of GeneXpert in ITB tissue was 64%. | Heterogeneity of included studies. |
| Maulahela et al., 2022 [5] | Review | Recent advances in ITB diagnosis including molecular and endoscopic tools. | Narrative summary; no quantitative synthesis. |
| Sasikumar et al., 2020 [6] | Diagnostic accuracy | GeneXpert sensitivity 64.3% in extrapulmonary TB. | Small sample for ITB subgroup. |
| Arora & Dhanashree, 2020 [7] | Diagnostic study | Smear sensitivity 12%, GeneXpert sensitivity 58% in paucibacillary samples. | Limited ITB-specific data. |
| Di Buono et al., 2024 [8] | Systematic review | Surgical resection required in 18% of complicated ITB cases; strictures most common indication. | Retrospective data pooling; heterogeneity. |
| Jena et al., 2023 [10] | Systematic review & meta-analysis | Strictures occur in 24% of ITB; 27% require endoscopic/surgical intervention. | High heterogeneity; variable definitions. |
| Kc et al., 2023 [11] | Case report & review | ITB mimics Crohn’s; misdiagnosis leads to inappropriate immunosuppression. | Single case; limited generalizability. |
| Sato et al., 2019 [12] | Case series | 10 ITB cases initially misdiagnosed as IBD; ATT resolved all. | Small sample; retrospective. |
| Seo et al., 2017 [13] | Retrospective cohort | Misdiagnosis rate decreased from 54% to 18% after 2010 due to improved diagnostics. | Temporal confounding. |
| Nguyen et al., 2010 [14] | Review | Diagnosis of ITB relies on combination of clinical, imaging, and microbiological features. | Older data; narrative. |
| Al-Hadeedi et al., 1990 [15] | Retrospective review | Abdominal TB presentation and surgical management in endemic area. | Outdated diagnostic methods. |
| Pratap Mouli et al., 2017 [16] | Prospective cohort | Response to ATT at 2 months differentiates ITB from Crohn’s (PPV 94%). | Single-center; moderate sample. |
| Van Hoving et al., 2019 [18] | Cochrane systematic review | Abdominal ultrasound sensitivity 68%, specificity 72% for abdominal TB. | Limited ITB-specific data. |
| Aprile et al., 2024 [19] | Review | GI ultrasound useful for detecting bowel wall thickening and lymphadenopathy in ITB. | Emerging technique; limited validation. |
| Ma et al., 2019 [20] | Prospective cohort | CT enterography and ultrasound show mucosal healing in 73% at 6 months ATT. | Small sample (n = 89). |
| Sinan et al., 2002 [21] | Retrospective review | CT features of abdominal TB: necrotic nodes, ileocecal thickening, ascites. | Older CT technology. |
| Kalra et al., 2014 [22] | Retrospective study | MDCT enterography findings in small bowel TB: short strictures, mural thickening. | Retrospective. |
| Mehta et al., 2019 [23] | Review | Endoscopic and histologic features aiding ITB diagnosis. | Narrative; no new data. |
| Facciorusso et al., 2022 [24] | Systematic review & meta-analysis | EUS-FNB superior to FNA for lymph node tissue acquisition (OR 1.9). | Not ITB-specific. |
| Puri et al., 2012 [25] | Prospective study | EUS-FNA diagnostic yield 76% for tubercular lymphadenopathy. | Single-center; operator-dependent. |
| Pai et al., 2004 [26] | Systematic review | NAAT sensitivity 62% for tuberculous pleuritis. | Not ITB-specific. |
| Fei et al., 2021 [27] | Diagnostic study | Tissue TB antigen + Xpert sensitivity 88% for ITB vs. Crohn’s. | Single-center; moderate sample. |
| Reechaipichitkul et al., 2017 [28] | Comparative study | GeneXpert sensitivity 82% vs. smear 53% in pulmonary TB. | Pulmonary focus; limited ITB. |
| WHO, 2017 [29] | Technical report | Xpert Ultra LOD 15.6 CFU/mL vs. 112.6 for standard Xpert. | Not peer-reviewed primary study. |
| Dorman et al., 2018 [30] | Prospective multicenter diagnostic accuracy | Xpert Ultra sensitivity 63% in paucibacillary TB; LOD 15.6 CFU/mL. | Extrapulmonary TB limited; no ITB subgroup. |
| Peixoto et al., 2015 [31] | Review | Endoscopic biopsy techniques for GI diseases. | Not ITB-specific. |
| Shi et al., 2016 [32] | Review | Clinical and laboratory diagnosis of ITB. | Narrative; older literature. |
| Riquelme et al., 2006 [33] | Meta-analysis | Ascitic ADA sensitivity 93%, specificity 94% for tuberculous peritonitis. | Peritoneal TB focus; indirect ITB applicability. |
| Kreitmann et al., 2023 [34] | Review | Digital PCR and multiplex technologies for infectious disease diagnosis. | Not TB-specific; emerging technology. |
| Malekshoar et al., 2023 [35] | Methods study | CRISPR-Cas9 enrichment for mutation detection. | Not TB-specific. |
| Sibandze et al., 2022 [36] | Diagnostic study | Stool-based targeted sequencing sensitivity 83% for TB. | Pulmonary TB focus; limited ITB data. |
| Weng et al., 2022 [37] | Multicenter diagnostic study | AI whole-slide imaging distinguished ITB from Crohn’s with AUC 0.92. | Retrospective; external validation needed. |
| Kim et al., 2021 [38] | Diagnostic study | Deep learning endoscopic system AUC 0.95 for ITB vs. Crohn’s. | Single-country data; requires prospective validation. |
| Lu et al., 2021 [39] | Multicenter study | Machine learning integrated model AUC 0.96 for ITB vs. Crohn’s. | Retrospective; model complexity limits clinical translation. |
| Alvares et al., 2005 [40] | Retrospective cohort | Colonic TB endoscopic findings: ulcers (88%), nodules (49%). | Single-center; older data. |
| Jin et al., 2010 [41] | Retrospective comparative | TB-PCR sensitivity 68%, specificity 92% in ITB vs. Crohn’s. | Retrospective; small sample. |
| Makharia et al., 2010 [42] | Prospective comparative | Differentiating features: bleeding (OR 0.3 for ITB), transverse ulcers (OR 4.2). | Single-center. |
| Singh et al., 1996 [43] | Retrospective cohort | Colonic TB clinical and endoscopic profile. | Older data; limited diagnostics. |
| Pulimood et al., 1999 [44] | Prospective study | Caseating granulomas in 33% of ITB vs. 0% Crohn’s. | Single-center. |
| Amarapurkar et al., 2008 [45] | Prospective study | TB-PCR positive in 64% of ITB vs. 0% Crohn’s. | Small sample; single-center. |
| Sharma et al., 2017 [46] | Systematic review | Abdominal cocoon in TB; surgical management outcomes. | Rare condition; limited data. |
| Donovan et al., 2020 [47] | Randomized diagnostic accuracy | Xpert Ultra sensitivity 70% vs. Xpert 43% in TB meningitis. | Not ITB; indirect extrapolation. |
| Shen et al., 2013 [48] | Meta-analysis | Ascitic ADA sensitivity 93%, specificity 94% for tuberculous peritonitis. | Peritoneal TB focus. |
| Tao et al., 2014 [49] | Meta-analysis | Ascitic ADA diagnostic OR 56 for TB ascites. | Peritoneal TB focus. |
| Larsson et al., 2014 [50] | Cross-sectional | Fecal calprotectin median 210 mg/kg in ITB vs. 45 in pulmonary TB. | Small sample; single-center. |
| Limsrivilai et al., 2017 [51] | Meta-analysis | Bayesian model differentiating ITB from Crohn’s: sensitivity 83%, specificity 85%. | Heterogeneity of included studies. |
| Jellema et al., 2011 [52] | Systematic review | Diagnostic testing for IBD in primary care. | Not ITB-specific. |
| Aggarwal et al., 2017 [53] | Retrospective cohort | 38% of ITB strictures showed poor response to ATT; required intervention. | Retrospective; selection bias. |
| Aljarallah, 2025 [54] | Clinical study | Response to short-course ATT in ITB. | Details limited (recent publication). |
| Park et al., 2009 [55] | Randomized trial | 6-month ATT non-inferior to 9-month for ITB (response 95% vs. 97%). | Single-center; small sample. |
| Kempker et al., 2020 [56] | Cohort study | Bedaquiline/delamanid regimens effective in drug-resistant extrapulmonary TB. | Limited ITB-specific data. |
| WHO, 2020 [57] | Guideline | MDR-TB treatment recommendations: shorter all-oral regimens. | Guideline; not primary data. |
| Conradie et al., 2020 [58] | Clinical trial | BPaL regimen 90% success in XDR-TB. | Pulmonary TB focus. |
| Sharma et al., 2017 [59] | Randomized trial | Mycobacterium indicus pranii adjunct therapy improved cure rates in pulmonary TB. | Not ITB-specific. |
| Gupta et al., 2012 [60] | Experimental study | Immunotherapy with MIP as adjunct to TB chemotherapy. | Animal and in vitro; not ITB. |
| Mi et al., 2024 [61] | Review | Immunoregulatory compounds as adjuvant TB therapy. | Narrative; limited clinical data. |
| Soni et al., 2019 [62] | Systematic review & meta-analysis | Steroids reduced stricture risk in abdominal TB (RR 0.67). | Heterogeneity; limited ITB-specific data. |
| Kang et al., 2021 [63] | Case report | Intestinal perforation due to paradoxical reaction during ATT. | Single case. |
| Breen et al., 2004 [64] | Cohort study | Paradoxical reactions in 14% of HIV-negative TB patients. | Pulmonary TB predominant. |
| Sharma et al., 2021 [65] | Prospective observational | Serial fecal calprotectin discriminated ITB from Crohn’s during ATT trial. | Small sample; single-center. |
| Kumar et al., 2022 [66] | Case series | Endoscopic balloon dilation successful in 89% of tubercular strictures. | Small sample; retrospective. |
| Mohy-Ud-Din & Kochhar, 2020 [67] | Review | Endoscopic stricturotomy techniques for IBD strictures. | Not ITB-specific. |
| Jaber et al., 2024 [68] | Systematic review & meta-analysis | Endoscopic stricturotomy technical success 92%, clinical success 68%. | IBD focus; limited ITB data. |
| Wiggins et al., 2015 [69] | Systematic review | Laparoscopic adhesiolysis for small bowel obstruction. | Not TB-specific. |
| Bhandarkar & Bhanushali, 2003 [70] | Case report | Laparoscopic drainage of tuberculous abscess. | Single case. |
| Vernia et al., 2021 [71] | Review | Fecal calprotectin and lactoferrin as IBD biomarkers. | Not ITB-specific. |
| Larsson et al., 2014 [72] | Cross-sectional | Fecal calprotectin differentiated intestinal from pulmonary TB. | Small sample; single-center. |
| Jo et al., 2022 [73] | Prospective observational | Fecal calprotectin declined significantly after 2 months ATT (p < 0.001). | Small sample; single-center. |
| Pai et al., 2014 [74] | Systematic review | IGRA sensitivity 80%, specificity 79% for active TB. | Cannot distinguish active from latent TB. |
| Soubières & Poullis, 2016 [75] | Review | Emerging biomarkers for IBD diagnosis. | Not ITB-specific. |
| Sharma et al., 2020 [76] | Review | AI in diagnostic imaging: status and future opportunities. | Not ITB-specific. |
Appendix A.2. Categorized Keywords
| Category | Keywords |
| Disease/Condition | Intestinal tuberculosis; abdominal tuberculosis; extrapulmonary tuberculosis; gastrointestinal tuberculosis |
| Diagnostic Modalities | Molecular diagnostics; endoscopy; colonoscopy; endoscopic ultrasound; computed tomography; CT enterography; abdominal ultrasound; histopathology; acid-fast bacilli staining; mycobacterial culture; polymerase chain reaction (PCR); GeneXpert MTB/RIF; GeneXpert MTB/RIF Ultra; adenosine deaminase (ADA); fecal calprotectin; interferon-gamma release assay (IGRA) |
| Emerging Technologies | Artificial intelligence; machine learning; deep learning; CRISPR; next-generation sequencing; multiplex PCR; digital health |
| Therapeutic Interventions | Anti-tubercular therapy; drug-resistant tuberculosis; multidrug-resistant tuberculosis (MDR-TB); extensively drug-resistant tuberculosis (XDR-TB); bedaquiline; delamanid; host-directed therapy; immunomodulation; paradoxical reaction |
| Surgical/Minimally Invasive | Minimally invasive surgery; laparoscopy; endoscopic balloon dilation; endoscopic stricturotomy; stricturoplasty; intestinal resection; surgical complications |
| Differential Diagnosis | Crohn’s disease; inflammatory bowel disease; granulomatous inflammation; caseating granuloma |
References
- Zeng, J.; Zhou, G.; Pan, F. Clinical analysis of intestinal tuberculosis: A retrospective study. J. Clin. Med. 2023, 12, 445. [Google Scholar] [CrossRef]
- Choudhury, A.; Dhillon, J.; Sekar, A.; Gupta, P.; Singh, H.; Sharma, V. Differentiating gastrointestinal tuberculosis and Crohn’s disease: A comprehensive review. BMC Gastroenterol. 2023, 23, 246. [Google Scholar] [CrossRef]
- Al-Zanbagi, A.B.; Shariff, M.K. Gastrointestinal tuberculosis: A systematic review of epidemiology, presentation, diagnosis and treatment. Saudi J. Gastroenterol. 2021, 27, 261–274. [Google Scholar] [CrossRef] [PubMed]
- Akgun, Y. Intestinal and peritoneal tuberculosis: Changing trends over 10 years and a review of 80 patients. Can. J. Surg. 2005, 48, 131–136. [Google Scholar] [PubMed]
- Maulahela, H.; Simadibrata, M.; Nelwan, E.J.; Rahadiani, N.; Renesteen, E.; Suwarti, S.W.T.; Anggraini, Y.W. Recent advances in the diagnosis of intestinal tuberculosis. BMC Gastroenterol. 2022, 22, 89. [Google Scholar] [CrossRef]
- Sasikumar, C.; Utpat, K.; Desai, U.; Joshi, J. Role of GeneXpert in the diagnosis of Mycobacterium tuberculosis. Adv. Respir. Med. 2020, 88, 183–188. [Google Scholar] [CrossRef]
- Arora, D.; Dhanashree, B. Utility of smear microscopy and GeneXpert for the detection of Mycobacterium tuberculosis in clinical samples. Germs 2020, 10, 81–87. [Google Scholar] [CrossRef]
- Di Buono, G.; Buscemi, S.; Lo Monte, A.I.; Geraci, G.; Romano, G.; Maienza, E.; Gulotta, L.; Amato, G.; Agrusa, A. Surgical Management of Complicated Abdominal Tuberculosis: The First Systematic Review—New Treatments for an Ancient Disease and the State of the Art. J. Clin. Med. 2024, 13, 4894. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. WHO Consolidated Guidelines on Tuberculosis: Module 4: Treatment, Drug-Resistant Tuberculosis Treatment, 2022 Update; World Health Organization: Geneva, Switzerland, 2022. [Google Scholar]
- Jena, A.; Mohindra, R.; Rana, K.; Neelam, P.B.; Thakur, D.C.; Singh, H.; Gupta, P.; Suri, V.; Sharma, V. Frequency, outcomes, and need for intervention in stricturing gastrointestinal tuberculosis: A systematic review and meta-analysis. BMC Gastroenterol. 2023, 23, 46. [Google Scholar] [CrossRef]
- Kc, P.; Bhattarai, M.; Adhikari, S.; Parajuli, P.; Bhandari, S.; Bhattarai, H.B.; Sharma, N.K.; Karki, S.; Acharya, S.; Basnet, B. Intestinal Tuberculosis Can Masquerade as Crohn’s Disease: A Teachable Moment. SAGE Open Med. Case Rep. 2023, 11, 2050313X231184342. [Google Scholar] [CrossRef]
- Sato, R.; Nagai, H.; Matsui, H.; Yamane, A.; Kawashima, M.; Higa, K.; Nakamura, S.; Ohshima, N.; Tamura, A.; Hebisawa, A. Ten Cases of Intestinal Tuberculosis Which Were Initially Misdiagnosed as Inflammatory Bowel Disease. Intern. Med. 2019, 58, 2003–2008. [Google Scholar] [CrossRef]
- Seo, H.; Lee, S.; So, H.; Kim, D.; Kim, S.O.; Soh, J.S.; Bae, J.H.; Lee, S.H.; Hwang, S.W.; Park, S.H.; et al. Temporal Trends in the Misdiagnosis Rates Between Crohn’s Disease and Intestinal Tuberculosis. World J. Gastroenterol. 2017, 23, 6306–6314. [Google Scholar] [CrossRef]
- Nguyen, D.C.; Do, D.V.; Do, S.H.; Nguyen, V.X.; Nguyen, Q.; Ninh, V.K.; Pham, H.B.; Huguier, M. Diagnosis of Intestinal Tuberculosis at Viet Duc Hospital (2004–2009). Thai J. Surg. 2010, 31, 76–80. [Google Scholar]
- Al-Hadeedi, S.; Walia, H.S.; Al-Sayer, H.M. Abdominal tuberculosis. Can. J. Surg. 1990, 33, 233–237. [Google Scholar]
- Pratap Mouli, V.; Munot, K.; Ananthakrishnan, A.; Kedia, S.; Addagalla, S.; Garg, S.K.; Benjamin, J.; Singla, V.; Dhingra, R.; Tiwari, V.; et al. Endoscopic and clinical responses to anti-tubercular therapy differentiate intestinal tuberculosis from Crohn’s disease. Aliment. Pharmacol. Ther. 2017, 45, 27–36. [Google Scholar] [CrossRef]
- Baumgart, D.C. The diagnosis and treatment of Crohn’s disease and ulcerative colitis. Dtsch. Ärzteblatt Int. 2009, 106, 123–133. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Van Hoving, D.J.; Griesel, R.; Meintjes, G.; Takwoingi, Y.; Maartens, G.; Ochodo, E.A. Abdominal ultrasound for diagnosing abdominal tuberculosis or disseminated tuberculosis with abdominal involvement in HIV-positive individuals. Cochrane Database Syst. Rev. 2019, 2019, CD012777. [Google Scholar] [CrossRef]
- Aprile, F.; Vangeli, M.; Allocca, M.; Zilli, A.; Argollo, M.C.; D’Amico, F.; Parigi, T.L.; Danese, S.; Furfaro, F. Gastrointestinal ultrasound in infectious diseases. Medicina 2024, 60, 1402. [Google Scholar] [CrossRef] [PubMed]
- Ma, L.; Zhu, Q.; Li, Y.; Li, W.; Wang, X.; Liu, W.; Li, J.; Jiang, Y. The potential role of CT enterography and gastrointestinal ultrasound in the evaluation of anti-tubercular therapy response of intestinal tuberculosis: A retrospective study. BMC Gastroenterol. 2019, 19, 106. [Google Scholar] [CrossRef] [PubMed]
- Sinan, T.; Sheikh, M.; Ramadan, S.; Sahwney, S.; Behbehani, A. CT features in abdominal tuberculosis: 20 years experience. BMC Med. Imaging 2002, 2, 3. [Google Scholar] [CrossRef] [PubMed]
- Kalra, N.; Agrawal, P.; Mittal, V.; Kochhar, R.; Gupta, V.; Nada, R.; Singh, R.; Khandelwal, N. Spectrum of Imaging findings on MDCT enterography in small bowel tuberculosis. Clin. Radiol. 2014, 69, 315–322. [Google Scholar] [CrossRef]
- Mehta, V.; Desai, D.; Abraham, P.; Rodrigues, C. Making a positive diagnosis of intestinal tuberculosis with the aid of new biologic and histologic features: How far have we reached? Inflamm. Intest. Dis. 2019, 3, 155–160. [Google Scholar] [CrossRef]
- Facciorusso, A.; Crinò, S.F.; Gkolfakis, P.; Ramai, D.; Lisotti, A.; Papanikolaou, I.S.; Mangiavillano, B.; Tarantino, I.; Anderloni, A.; Fabbri, C.; et al. Endoscopic ultrasound fine-needle biopsy versus fine-needle aspiration for lymph node tissue acquisition: A systematic review and meta-analysis. Gastroenterol. Rep. 2022, 10, goac062. [Google Scholar] [CrossRef]
- Puri, R.; Mangla, R.; Eloubeidi, M.; Vilmann, P.; Thandassery, R.; Sud, R. Diagnostic yield of EUS-guided fine-needle aspiration and cytology in suspected tubercular intra-abdominal lymphadenopathy. Gastrointest. Endosc. 2012, 75, 1005–1010. [Google Scholar] [CrossRef]
- Pai, M.; Flores, L.L.; Hubbard, A.; Riley, L.W.; Colford, J.M. Nucleic acid amplification tests in the diagnosis of tuberculous pleuritis: A systematic review and meta-analysis. BMC Infect. Dis. 2004, 4, 6. [Google Scholar] [CrossRef]
- Fei, B.; Zhou, L.; Zhang, Y.; Luo, L.; Chen, Y. Application value of tissue tuberculosis antigen combined with Xpert MTB/RIF detection in differential diagnosis of intestinal tuberculosis and Crohn’s disease. BMC Infect. Dis. 2021, 21, 498. [Google Scholar] [CrossRef] [PubMed]
- Reechaipichitkul, W.; Suleesathira, T.; Chaimanee, P. Comparison of GeneXpert MTB/RIF assay with conventional AFB smear for diagnosis of pulmonary tuberculosis in northeastern Thailand. Southeast Asian J. Trop. Med. Public Health 2017, 48, 313–321. [Google Scholar]
- World Health Organization. WHO Meeting Report of a Technical Expert Consultation: Non-Inferiority Analysis of Xpert MTB/RIF Ultra Compared to Xpert MTB/RIF; World Health Organization: Geneva, Switzerland, 2017. [Google Scholar]
- Dorman, S.E.; Schumacher, S.G.; Alland, D.; Nabeta, P.; Armstrong, D.T.; King, B.; Hall, S.L.; Chakravorty, S.; Cirillo, D.M.; Tukvadze, N.; et al. Xpert MTB/RIF Ultra for detection of Mycobacterium tuberculosis and rifampicin resistance: A prospective multicentre diagnostic accuracy study. Lancet Infect. Dis. 2018, 18, 76–84. [Google Scholar] [CrossRef] [PubMed]
- Peixoto, A.; Silva, M.; Pereira, P.; Macedo, G. Biopsies in gastrointestinal endoscopy: When and how. GE Port. J. Gastroenterol. 2015, 23, 19–27. [Google Scholar] [CrossRef]
- Shi, X.C.; Zhang, L.F.; Zhang, Y.Q.; Liu, X.Q.; Fei, G.J. Clinical and laboratory diagnosis of intestinal tuberculosis. Chin. Med. J. 2016, 129, 1330–1333. [Google Scholar] [CrossRef]
- Riquelme, A.; Calvo, M.; Salech, F.; Valderrama, S.; Pattillo, A.; Arellano, M.; Arrese, M.; Soza, A.; Viviani, P.; Letelier, L.M. Value of adenosine deaminase in ascitic fluid for the diagnosis of tuberculous peritonitis: A meta-analysis. J. Clin. Gastroenterol. 2006, 40, 705–710. [Google Scholar] [CrossRef]
- Kreitmann, L.; Miglietta, L.; Xu, K.; Malpartida-Cardenas, K.; D’Souza, G.; Kaforou, M.; Brengel-Pesce, K.; Drick, N.; Eger, K.; Liu, X.; et al. Next-generation molecular diagnostics: Leveraging digital technologies to enhance multiplexing in real-time PCR. TrAC Trends Anal. Chem. 2023, 160, 116963. [Google Scholar] [CrossRef]
- Malekshoar, M.; Azimi, S.A.; Kaki, A.; Mousazadeh, L.; Motaei, J.; Vatankhah, M. CRISPR-Cas9 targeted enrichment and next-generation sequencing for mutation detection. J. Mol. Diagn. 2023, 25, 249–262. [Google Scholar] [CrossRef]
- Sibandze, D.B.; Kay, A.; Dreyer, V.; Sikhondze, W.; Dlamini, Q.; DiNardo, A.; Mtetwa, G.; Lukhele, B.; Vambe, D.; Lange, C.; et al. Rapid molecular diagnostics of tuberculosis resistance by targeted stool sequencing. Genome Med. 2022, 14, 52. [Google Scholar] [CrossRef] [PubMed]
- Weng, F.; Meng, Y.; Lu, F.; Wang, Y.; Wang, W.; Xu, L.; Cheng, D.; Zhu, J. Differentiation of intestinal tuberculosis and Crohn’s disease through an explainable machine learning method. Sci. Rep. 2022, 12, 1714. [Google Scholar] [CrossRef]
- Kim, J.M.; Kang, J.G.; Kim, S.; Cheon, J.H. Deep-Learning System for Real-Time Differentiation Between Crohn’s Disease, Intestinal Behçet’s Disease, and Intestinal Tuberculosis. J. Gastroenterol. Hepatol. 2021, 36, 2141–2148. [Google Scholar] [CrossRef] [PubMed]
- Lu, Y.; Chen, Y.; Peng, X.; Yao, J.; Zhong, W.; Li, C.; Zhi, M. Development and Validation of a New Algorithm Model for Differential Diagnosis Between Crohn’s Disease and Intestinal Tuberculosis: A Combination of Laboratory, Imaging and Endoscopic Characteristics. BMC Gastroenterol. 2021, 21, 291. [Google Scholar] [CrossRef]
- Alvares, J.F.; Devarbhavi, H.; Makhija, P.; Rao, S.; Kottoor, R. Clinical, colonoscopic, and histological profile of colonic tuberculosis in a tertiary hospital. Endoscopy 2005, 37, 351–356. [Google Scholar] [CrossRef] [PubMed]
- Jin, X.J.; Kim, J.M.; Kim, H.K.; Kim, L.; Choi, S.J.; Park, I.S.; Han, J.Y.; Chu, Y.C.; Song, J.Y.; Kwon, K.S.; et al. Histopathology and TB-PCR kit analysis in differentiating the diagnosis of intestinal tuberculosis and Crohn’s disease. World J. Gastroenterol. 2010, 16, 2496–2503. [Google Scholar] [CrossRef]
- Makharia, G.K.; Srivastava, S.; Das, P.; Goswami, P.; Singh, U.; Tripathi, M.; Deo, V.; Aggarwal, A.; Tiwari, R.P.; Sreenivas, V.; et al. Clinical, endoscopic, and histological differentiations between Crohn’s disease and intestinal tuberculosis. Am. J. Gastroenterol. 2010, 105, 642–651. [Google Scholar] [CrossRef]
- Singh, V.; Kumar, P.; Kamal, J.; Prakash, V.; Vaiphei, K.; Singh, K. Clinicocolonoscopic profile of colonic tuberculosis. Am. J. Gastroenterol. 1996, 91, 565–568. [Google Scholar]
- Pulimood, A.B.; Ramakrishna, B.S.; Kurian, G.; Peter, S.; Patra, S.; Mathan, V.I.; Mathan, M.M. Endoscopic mucosal biopsies are useful in distinguishing granulomatous colitis due to Crohn’s disease from tuberculosis. Gut 1999, 45, 537–541. [Google Scholar] [CrossRef] [PubMed]
- Amarapurkar, D.N.; Patel, N.D.; Rane, P.S. Diagnosis of Crohn’s disease in India where tuberculosis is widely prevalent. World J. Gastroenterol. 2008, 14, 741–746. [Google Scholar] [CrossRef]
- Sharma, V.; Singh, H.; Mandavdhare, H.S. Tubercular abdominal cocoon: Systematic review of an uncommon form of tuberculosis. Surg. Infect. 2017, 18, 736–741. [Google Scholar] [CrossRef]
- Donovan, J.; Thu, D.D.A.; Phu, N.H.; Dung, V.T.M.; Quang, T.P.; Nghia, H.D.T.; Oanh, P.K.N.; Nhu, T.B.; Chau, N.V.V.; Ny, N.T.H.; et al. Xpert MTB/RIF Ultra versus Xpert MTB/RIF for the diagnosis of tuberculous meningitis: A prospective, randomised, diagnostic accuracy study. Lancet Infect. Dis. 2020, 20, 299–307. [Google Scholar] [CrossRef]
- Shen, Y.C.; Wang, T.; Chen, L.; Yang, T.; Wan, C.; Hu, Q.J.; Wen, F.Q. Diagnostic accuracy of adenosine deaminase for tuberculous peritonitis: A meta-analysis. Arch. Med. Sci. 2013, 9, 601–607. [Google Scholar] [CrossRef] [PubMed]
- Tao, L.; Ning, H.J.; Nie, H.M.; Guo, X.Y.; Qin, S.Y.; Jiang, H.X. Diagnostic value of adenosine deaminase in ascites for tuberculosis ascites: A meta-analysis. Diagn. Microbiol. Infect. Dis. 2014, 79, 102–107. [Google Scholar] [CrossRef] [PubMed]
- Larsson, G.; Shenoy, K.T.; Ramasubramanian, R.; Thayumanavan, L.; Balakumaran, L.K.; Bjune, G.A.; Moum, B.A. Routine diagnosis of intestinal tuberculosis and Crohn’s disease in Southern India. World J. Gastroenterol. 2014, 20, 5017–5024. [Google Scholar] [CrossRef]
- Limsrivilai, J.; Shreiner, A.B.; Pongpaibul, A.; Laohapand, C.; Boonanuwat, R.; Pausawasdi, N.; Pongprasobchai, S.; Manatsathit, S.; Higgins, P.D.R. Meta-analytic Bayesian model for differentiating intestinal tuberculosis from Crohn’s disease. Am. J. Gastroenterol. 2017, 112, 415–427. [Google Scholar] [CrossRef]
- Jellema, P.; van Tulder, M.W.; van der Horst, H.E.; Florie, J.; Mulder, C.J.; van der Windt, D.A. Inflammatory bowel disease: A systematic review on the value of diagnostic testing in primary care. Color. Dis. 2011, 13, 239–254. [Google Scholar] [CrossRef]
- Aggarwal, P.; Kedia, S.; Sharma, R.; Bopanna, S.; Madhusudhan, K.S.; Yadav, D.P.; Goyal, S.; Mouli, V.P.; Sahni, P.; Das, P.; et al. Tubercular intestinal strictures show poor response to anti-tuberculous therapy. Dig. Dis. Sci. 2017, 62, 2847–2856. [Google Scholar] [CrossRef]
- Aljarallah, B.M. Clinical study of intestinal tuberculosis and its response to short-course anti-tuberculosis therapy. J. Pioneer. Med. Sci. 2025, 14, 456–463. [Google Scholar] [CrossRef]
- Park, S.H.; Yang, S.K.; Yang, D.H.; Kim, K.J.; Yoon, S.M.; Choe, J.W.; Ye, B.D.; Byeon, J.S.; Myung, S.J.; Yoon, Y.S.; et al. Prospective randomized trial of six-month versus nine-month therapy for intestinal tuberculosis. Antimicrob. Agents Chemother. 2009, 53, 4167–4171. [Google Scholar] [CrossRef]
- Kempker, R.R.; Mikiashvili, L.; Zhao, Y.; Benkeser, D.; Barbakadze, K.; Bablishvili, N.; Avaliani, Z.; Peloquin, C.A.; Blumberg, H.M.; Kipiani, M. Clinical Outcomes Among Patients with Drug-resistant Tuberculosis Receiving Bedaquiline- or Delamanid-Containing Regimens. Clin. Infect. Dis. 2020, 71, 2336–2344. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- World Health Organization. WHO Consolidated Guidelines on Tuberculosis: Module 4: Treatment, Drug-Resistant Tuberculosis Treatment; World Health Organization: Geneva, Switzerland, 2020. [Google Scholar]
- Conradie, F.; Diacon, A.H.; Ngubane, N.; Howell, P.; Everitt, D.; Crook, A.M.; Mendel, C.M.; Egizi, E.; Moreira, J.; Timm, J.; et al. Treatment of highly drug-resistant pulmonary tuberculosis. N. Engl. J. Med. 2020, 382, 893–902. [Google Scholar] [CrossRef]
- Sharma, S.K.; Katoch, K.; Sarin, R.; Balambal, R.; Kumar Jain, N.; Patel, N.; Murthy, K.J.R.; Singla, N.; Saha, P.K.; Khanna, A.; et al. Efficacy and safety of Mycobacterium indicus pranii as an adjunct therapy in Category II pulmonary tuberculosis: A randomized trial. Sci. Rep. 2017, 7, 3354. [Google Scholar] [CrossRef] [PubMed]
- Gupta, A.; Ahmad, F.J.; Ahmad, F.; Gupta, U.D.; Natarajan, M.; Katoch, V.; Bhaskar, S. Immunotherapy with Mycobacterium indicus pranii as an adjunct to chemotherapy for tuberculosis. PLoS ONE 2012, 7, e39215. [Google Scholar] [CrossRef] [PubMed]
- Mi, J.; Wu, X.; Liang, J. Advances in adjuvant therapy for tuberculosis with immunoregulatory compounds. Front. Microbiol. 2024, 15, 1380848. [Google Scholar] [CrossRef]
- Soni, H.; Bellam, B.L.; Rao, R.K.; Kumar, P.M.; Mandavdhare, H.S.; Singh, H.; Sharma, V. Use of steroids for abdominal tuberculosis: A systematic review and meta-analysis. Infection 2019, 47, 387–394. [Google Scholar] [CrossRef]
- Kang, S.H.; Moon, H.S.; Park, J.H.; Kim, J.S.; Kang, S.H.; Lee, E.S.; Kim, S.H.; Lee, B.S.; Sung, J.K.; Jeong, H.Y.; et al. Intestinal Perforation as a Paradoxical Reaction to Antitubercular Therapy: A Case Report. Ann. Coloproctology 2021, 37, S18–S23. [Google Scholar] [CrossRef]
- Breen, R.A.; Smith, C.J.; Bettinson, H.; Dart, S.; Bannister, B.; Johnson, M.A.; Lipman, M.C. Paradoxical reactions during tuberculosis treatment in patients with and without HIV coinfection. Thorax 2004, 59, 704–707. [Google Scholar] [CrossRef] [PubMed]
- Sharma, V.; Verma, S.; Kumar-M, P.; Mandavdhare, H.S.; Singh, H.; Shah, J.; Kalsi, D.; Dutta, A.; Mishra, S.; Prasad, K.K.; et al. Serial measurements of faecal calprotectin may discriminate intestinal tuberculosis and Crohn’s disease in patients started on antitubercular therapy. Eur. J. Gastroenterol. Hepatol. 2021, 33, 334–338. [Google Scholar] [CrossRef]
- Kumar, P.; Jena, A.; Birda, C.L.; Mandavdhare, H.S.; Singh, H.; Gupta, P.; Prasad, K.K.; Sharma, V. Safety and efficacy of non-fluoroscopic endoscopic dilatation of gastrointestinal tuberculosis related strictures. BMC Gastroenterol. 2022, 22, 57. [Google Scholar] [CrossRef]
- Mohy-Ud-Din, N.; Kochhar, G.S. Endoscopic stricturotomy for management of strictures in inflammatory bowel disease. Crohns Colitis 360 2020, 2, otaa069. [Google Scholar] [CrossRef]
- Jaber, F.; Numan, L.; Ayyad, M.; Almeqdadi, M.; Altayar, O.; Christein, J.; Hashash, J.G.; Farraye, F.A. Efficacy and safety of endoscopic stricturotomy in inflammatory bowel disease-related strictures: A systematic review and meta-analysis. Dig. Dis. Sci. 2024, 69, 4152–4166. [Google Scholar] [CrossRef]
- Wiggins, T.; Markar, S.R.; Harris, A. Laparoscopic adhesiolysis for acute small bowel obstruction: Systematic review and pooled analysis. Surg. Endosc. 2015, 29, 3432–3442. [Google Scholar] [CrossRef]
- Bhandarkar, D.; Bhanushali, P. Laparoscopic drainage of a peripancreatic tuberculous abscess. Surg. Endosc. 2003, 17, 831. [Google Scholar] [CrossRef] [PubMed]
- Vernia, F.; Viscido, A.; Di Ruscio, M.; Stefanelli, G.; Valvano, M.; Latella, G. Fecal Lactoferrin and Other Putative Fecal Biomarkers in Crohn’s Disease: Do They Still Have a Potential Clinical Role? Digestion 2021, 102, 833–844. [Google Scholar] [CrossRef] [PubMed]
- Larsson, G.; Shenoy, K.T.; Ramasubramanian, R.; Balakumaran, L.K.; Bjune, G.A.; Moum, B.A. Faecal calprotectin levels differentiate intestinal from pulmonary tuberculosis: An observational study from Southern India. United Eur. Gastroenterol. J. 2014, 2, 397–405. [Google Scholar] [CrossRef]
- Jo, H.H.; Kim, E.Y.; Jung, J.T.; Kwon, J.G.; Kim, E.S.; Lee, H.S.; Lee, Y.J.; Kim, K.O.; Jang, B.I. Value of fecal calprotectin measurement during the initial period of therapeutic anti-tubercular trial. Clin. Endosc. 2022, 55, 256–262. [Google Scholar] [CrossRef]
- Pai, M.; Denkinger, C.M.; Kik, S.V.; Rangaka, M.X.; Zwerling, A.; Oxlade, O.; Metcalfe, J.Z.; Cattamanchi, A.; Dowdy, D.W.; Dheda, K.; et al. Gamma interferon release assays for detection of Mycobacterium tuberculosis infection. Clin. Microbiol. Rev. 2014, 27, 3–20. [Google Scholar] [CrossRef] [PubMed]
- Soubières, A.A.; Poullis, A. Emerging role of novel biomarkers in the diagnosis of inflammatory bowel disease. World J. Gastrointest. Pharmacol. Ther. 2016, 7, 41–50. [Google Scholar] [CrossRef] [PubMed]
- Sharma, P.; Suehling, M.; Flohr, T.; Comaniciu, D. Artificial intelligence in diagnostic imaging: Status quo, challenges, and future opportunities. J. Thorac. Imaging 2020, 35, S11–S16. [Google Scholar] [CrossRef] [PubMed]



| Feature | Intestinal Tuberculosis | Crohn’s Disease | References |
|---|---|---|---|
| Epidemiology | Common in TB-endemic regions | More common in Western countries | [2,11] |
| Systemic symptoms | Fever, night sweats, weight loss common | Less prominent systemic symptoms | [2,10] |
| Common location | Ileocecal region | Terminal ileum and colon | [1,2] |
| Disease distribution | Continuous involvement | Skip lesions common | [20,21,22] |
| Perianal disease | Rare | Common | [11,12] |
| Endoscopic ulcer pattern | Transverse ulcers | Longitudinal ulcers | [16,23] |
| Endoscopic appearance | Nodules, short strictures | Cobblestone mucosa | [23] |
| Stricture pattern | Short concentric strictures | Long fibrotic strictures | [8,9] |
| Lymph nodes (CT) | Necrotic lymphadenopathy | Non-necrotic nodes | [20,21,22] |
| Mesenteric fat | Usually absent | Creeping fat common | [20,21] |
| Histopathology | Caseating granulomas | Non-caseating granulomas | [40,44] |
| AFB staining/culture | May detect Mycobacterium tuberculosis | Negative | [6,7] |
| PCR/GeneXpert | May detect TB DNA | Negative | [6,27,41] |
| Response to therapy | Responds to anti-tubercular therapy | Requires immunosuppressive therapy | [16,35] |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Share and Cite
Alyahyawi, K. An Integrated Review of Conventional and Emerging Diagnostic and Therapeutic Modalities to Reduce the Risk of Surgical Resections in Intestinal Tuberculosis. Diagnostics 2026, 16, 1332. https://doi.org/10.3390/diagnostics16091332
Alyahyawi K. An Integrated Review of Conventional and Emerging Diagnostic and Therapeutic Modalities to Reduce the Risk of Surgical Resections in Intestinal Tuberculosis. Diagnostics. 2026; 16(9):1332. https://doi.org/10.3390/diagnostics16091332
Chicago/Turabian StyleAlyahyawi, Khalid. 2026. "An Integrated Review of Conventional and Emerging Diagnostic and Therapeutic Modalities to Reduce the Risk of Surgical Resections in Intestinal Tuberculosis" Diagnostics 16, no. 9: 1332. https://doi.org/10.3390/diagnostics16091332
APA StyleAlyahyawi, K. (2026). An Integrated Review of Conventional and Emerging Diagnostic and Therapeutic Modalities to Reduce the Risk of Surgical Resections in Intestinal Tuberculosis. Diagnostics, 16(9), 1332. https://doi.org/10.3390/diagnostics16091332

