Optical diagnosis of malignant colorectal polyps: is it feasible?

Diagnostic accuracy of magnifying chromoendoscopy in the assessment of tumor invasion depth in early colorectal cancer: a systematic review and meta-analysis

PURPOSE

The aim of the study was to evaluate the ability of magnifying chromoendoscopy (MCE) to correctly differentiate early colorectal cancer (CRC) lesions with massively invasive submucosal cancer (SMm) from lesions without submucosal massive invasion (polyp, adenoma, dysplasia, intramucosal cancer, slightly invasive submucosal cancer (SMs)).

METHODS

We searched PubMed, Embase, the Cochrane Library from the time of the establishment of each database to 5 April 2023. Stata 15 software was used to perform the meta-analysis for sensitivity, specificity, positive likelihood ratio (LR), and negative LR, diagnostic odds ratio, and 95% CI. A summary receiver-operating characteristic (SROC) curve was constructed, the area under the curve (AUC) was calculated, and the diagnostic value was evaluated. Furthermore, to explore the potential sources of heterogeneity, we used meta-regression to estimate the influencing factors of these studies and their impact on the diagnostic accuracy. MCE was used to evaluate the diagnostic accuracy in differentiating CRC lesions with SMm from lesions without submucosal massive invasion (polyp, adenoma, dysplasia, intramucosal cancer, SMs). Subgroup analysis was conducted as well. Deeks' funnel plots were also used to assess publication bias.

RESULTS

A total of 11,387 colorectal lesions were included in 19 articles, including polyp, adenoma, dysplasia, and early cancer (intramucosal cancer, SMs, and SMm). The aggregate sensitivity, specificity, positive LR, negative LR, and diagnostic advantage scores of MCE in the diagnosis of differentiating CRC lesions with SMm from lesions without submucosal massive invasion (polyp, adenoma, dysplasia, intramucosal cancer, SMs) were 0.78 (95% CI 0.72-0.83), 0.95 (0.95% CI 0.91-0.97), 15.4 (0.95% CI 8.7-27.4), 0.23 (0.95% CI 0.18-0.30), and 66 (0.95% CI 32-136), respectively. The AUC of the SROC curve was 0.91 (0.95% CI 0.88-0.93). No significant publication bias was found with Deeks' funnel plot. The results showed significant heterogeneity due to the different objects included.

CONCLUSION

MCE can differentiate CRC lesions with SMm from lesions without submucosal massive invasion (polyp, adenoma, dysplasia, intramucosal cancer, SMs) with high accuracy and it can guide assessment of invasion depth of SMm in T1 early CRCs to help us select the most appropriate treatment.

Multidisciplinary management of early rectal cancer - The role of surgical local excision in current and future clinical practice

The implementation of bowel cancer screening programs has led to a rise in the incidence of early rectal cancer. The combination of increased incidence and the growing interest in organ-sparing treatment options has led to an amplified importance of local excision techniques in treatment strategies for early rectal cancer. In addition, developments in new technologies of single-port surgery have popularized surgical techniques. Although local treatment of early rectal cancer seems promising, a multidisciplinary approach is necessary and awareness of the oncological robustness is warranted to enable shared decision-making. This review illustrates the position of surgical local excision in the treatment of early rectal cancer and reflects on its role in current and future clinical practice.

Endoscopic characterization of small colonic polyps: baseline performance of experienced endoscopists is no different to that of medical students

Background  Studies examining the impact of training modules on characterization of diminutive colonic polyps (DCP) show varying results. Aim  We aimed to assess the impact of a novel web-based training module on the accuracy of in vivo characterization of DCPs using different imaging modalities. Differences between groups with varying degrees of endoscopic experience were also assessed. Methods  In total, 90 images of 30 DCPs viewed with high definition white light (HDWL), i-Scan, and indigo carmine chromoendoscopy were included in an online test module. Testing was undertaken before and after completing a novel web-based in vivo characterization training module. In total, 21 subjects (medical students (MS), gastroenterology trainees (GT), and gastroenterology consultants (GC)) undertook the tests and training module. Results  No statistically significant difference in overall accuracy was found between the three groups either pre- (MS 59.1 %, GR 65.7 %, GC 62.4 %, P  = ns for all three comparisons) or post-training (MS 69.2 %, GR 71.1 %, GC 71.3 %, P  = ns for all three comparisons). Accuracy improved significantly for all three groups post-training ( P  < 0.001) as did interobserver agreement. No significant differences in accuracy between modalities were found pre-training (HDWL 64.8 %, i-Scan 60.0 %, chromoendoscopy 62.2 %, P  = ns). Post-training accuracy with HDWL and chromoendoscopy was better than with i-Scan (HDWL 72.9 % vs i-Scan 65.1 %, P  = 0.002; i-Scan 65.1 % vs chromoendoscopy 73.7 %, P  < 0.001). The proportion of high confidence predictions increased from 25.7 % to 41.5 %, with a high confidence prediction accuracy of 81.7 %. Conclusions  Skills for in vivo characterization of DCPs are not acquired through endoscopic experience alone. A novel web-based training intervention results in modest improvements in accuracy with further improvements likely to require more prolonged training.

Artificial intelligence and computer-aided diagnosis in colonoscopy: current evidence and future directions

Computer-aided diagnosis offers a promising solution to reduce variation in colonoscopy performance. Pooled miss rates for polyps are as high as 22%, and associated interval colorectal cancers after colonoscopy are of concern. Optical biopsy, whereby in-vivo classification of polyps based on enhanced imaging replaces histopathology, has not been incorporated into routine practice because it is limited by interobserver variability and generally only meets accepted standards in expert settings. Real-time decision-support software has been developed to detect and characterise polyps, and also to offer feedback on the technical quality of inspection. Some of the current algorithms, particularly with recent advances in artificial intelligence techniques, match human expert performance for optical biopsy. In this Review, we summarise the evidence for clinical applications of computer-aided diagnosis and artificial intelligence in colonoscopy.

Narrow-Band Imaging: Clinical Application in Gastrointestinal Endoscopy

Narrow-band imaging is an advanced imaging system that applies optic digital methods to enhance endoscopic images and improves visualization of the mucosal surface architecture and microvascular pattern. Narrow-band imaging use has been suggested to be an important adjunctive tool to white-light endoscopy to improve the detection of lesions in the digestive tract. Importantly, it also allows the distinction between benign and malignant lesions, targeting biopsies, prediction of the risk of invasive cancer, delimitation of resection margins, and identification of residual neoplasia in a scar. Thus, in expert hands it is a useful tool that enables the physician to decide on the best treatment (endoscopic or surgical) and management. Current evidence suggests that it should be used routinely for patients at increased risk for digestive neoplastic lesions and could become the standard of care in the near future, at least in referral centers. However, adequate training programs to promote the implementation of narrow-band imaging in daily clinical practice are needed. In this review, we summarize the current scientific evidence on the clinical usefulness of narrow-band imaging in the diagnosis and characterization of digestive tract lesions/cancers and describe the available classification systems.

Advances in CRC Prevention: Screening and Surveillance

Colorectal cancer (CRC) is among the most commonly diagnosed cancers and causes of death from cancer across the world. CRC can, however, be detected in asymptomatic patients at a curable stage, and several studies have shown lower mortality among patients who undergo screening compared with those who do not. Using colonoscopy in CRC screening also results in the detection of precancerous polyps that can be directly removed during the procedure, thereby reducing the incidence of cancer. In the past decade, convincing evidence has appeared that the effectiveness of colonoscopy as CRC prevention tool is associated with the quality of the procedure. This review aims to provide an up-to-date overview of recent efforts to improve colonoscopy effectiveness by enhancing detection and improving the completeness and safety of resection of colorectal lesions.

The occurrence and characteristics of endoscopically unexpected malignant degeneration in large rectal adenomas

BACKGROUND AND AIMS

Large non-pedunculated rectal polyps are most commonly resected by endoscopic mucosal resection (EMR) or transanal endoscopic microsurgery (TEM). Despite pre-procedural diagnostics, unexpected rectal cancer is incidentally encountered within the resected specimen. This study aimed to compare the diagnostic assessment and procedural characteristics of lesions with and without unexpected submucosal invasion.

METHODS

A post-hoc analysis of a multicenter randomized trial (TREND study) was performed in which patients with a non-pedunculated rectal polyp of ≥3 cm without endoscopic suspicion of invasive growth were randomized between EMR and TEM.

RESULTS

Unexpected rectal cancer was detected in 13% (27/203) of patients; 15 after EMR and 12 after TEM. Most consisted of low-risk T1 cancers (78%, n = 18). There were no differences in the diagnostic assessment between lesions with and without unexpected submucosal invasion. Diagnostic biopsies revealed similar rates of high-grade dysplasia (28% [7/25] vs 18% [26/144]). When compared with EMR of adenomas, EMR procedures of unexpected cancers had a lower success rate of submucosal lifting (60% vs 93%, P < .001), were more often assessed as endoscopically incomplete (33% vs 10%, P = .01), and were more frequently terminated prematurely (60% vs 8%, P = .001).

CONCLUSIONS

Diagnostic assessment of large non-pedunculated rectal polyps revealed similar characteristics between unexpected cancers and adenomas. Unexpected cancers during EMR were non-lifting in 40%, endoscopically assessed as incomplete in 33%, and terminated prematurely in 60%. In treatment-naive patients, these factors should raise suspicion of malignancy and need discussion in a multidisciplinary team meeting for decision on further treatment strategies.