Near-focus narrow-band imaging for endoscopic assessment of duodenal villi: Making the case more than ever?

Assessing the Efficacy of the Spectrum-Aided Vision Enhancer (SAVE) to Detect Acral Lentiginous Melanoma, Melanoma In Situ, Nodular Melanoma, and Superficial Spreading Melanoma: Part II

Background: Melanoma, a highly aggressive form of skin cancer, necessitates early detection to significantly improve survival rates. Traditional diagnostic techniques, such as white-light imaging (WLI), are effective but often struggle to differentiate between melanoma subtypes in their early stages. Methods: The emergence of the Spectrum-Aided Vison Enhancer (SAVE) offers a promising alternative by utilizing specific wavelength bands to enhance visual contrast in melanoma lesions. This technique facilitates greater differentiation between malignant and benign tissues, particularly in challenging cases. In this study, the efficacy of the SAVE is evaluated in detecting melanoma subtypes including acral lentiginous melanoma (ALM), melanoma in situ (MIS), nodular melanoma (NM), and superficial spreading melanoma (SSM) compared to WLI. Results: The findings demonstrated that the SAVE consistently outperforms WLI across various key metrics, including precision, recall, F1-scorw, and mAP, making it a more reliable tool for early melanoma detection using the four different machine learning methods YOLOv10, Faster RCNN, Scaled YOLOv4, and YOLOv7. Conclusions: The ability of the SAVE to capture subtle spectral differences offers clinicians a new avenue for improving diagnostic accuracy and patient outcomes.

Assessing the Efficacy of the Spectrum-Aided Vision Enhancer (SAVE) to Detect Acral Lentiginous Melanoma, Melanoma In Situ, Nodular Melanoma, and Superficial Spreading Melanoma: Part II

Background: Melanoma, a highly aggressive form of skin cancer, necessitates early detection to significantly improve survival rates. Traditional diagnostic techniques, such as white-light imaging (WLI), are effective but often struggle to differentiate between melanoma subtypes in their early stages. Methods: The emergence of the Spectrum-Aided Vison Enhancer (SAVE) offers a promising alternative by utilizing specific wavelength bands to enhance visual contrast in melanoma lesions. This technique facilitates greater differentiation between malignant and benign tissues, particularly in challenging cases. In this study, the efficacy of the SAVE is evaluated in detecting melanoma subtypes including acral lentiginous melanoma (ALM), melanoma in situ (MIS), nodular melanoma (NM), and superficial spreading melanoma (SSM) compared to WLI. Results: The findings demonstrated that the SAVE consistently outperforms WLI across various key metrics, including precision, recall, F1-scorw, and mAP, making it a more reliable tool for early melanoma detection using the four different machine learning methods YOLOv10, Faster RCNN, Scaled YOLOv4, and YOLOv7. Conclusions: The ability of the SAVE to capture subtle spectral differences offers clinicians a new avenue for improving diagnostic accuracy and patient outcomes.

Narrow-band imaging for optical diagnosis of duodenal villous atrophy in patients with suspected coeliac disease: A systematic review and meta-analysis

BACKGROUND

Narrow-band imaging (NBI) is a readily accessible imaging technique that enhances mucosal visualisation, allowing for a more accurate assessment of duodenal villi. However, its role in the diagnosis of coeliac disease (CD) in clinical practice remains limited.

METHODS

We systematically searched several databases in June 2023 for studies evaluating the diagnostic accuracy of NBI for detecting duodenal villous atrophy (VA) in patients with suspected CD. We calculated the summary sensitivity, specificity, and likelihood ratios using a bivariate random-effects model. The study followed PRISMA guidelines and was registered at PROSPERO (CRD42023428266).

RESULTS

A total of 6 studies with 540 participants were included in the meta-analysis. The summary sensitivity of NBI to detect VA was 93% (95% CI, 81% - 98%), and the summary specificity was 95% (95% CI, 92% - 98%). The area under the summary receiver operating characteristic curve was 0.98 (95% CI, 96 - 99). The positive and negative predictive values of NBI were 94% (95% CI, 92% - 97%) and 92% (95% CI, 90% - 94%), respectively.

CONCLUSION

NBI is an accurate non-invasive tool for identifying and excluding duodenal VA in patients with suspected CD. Further studies using a validated classification are needed to determine the optimal role of NBI in the diagnostic algorithm for CD.