Analysis of Endoscopic Electronic Image of Intramucosal Gastric Carcinoma Using a Software Program for Calculating Hemoglobin Index

Kim, Gwang Ha; Kim, Kwang-Baek; Lim, Eun‐Kyung; Choi, Seong Ho; Kim, Hyung Wook; Kim, Tae-Oh; Kang, Dae Hwan; Song, Geun Am; Lee, Jae Seung

doi:10.1016/j.gie.2007.03.861

Cited by 3 publications

(6 citation statements)

References 14 publications

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“…Forty-five minutes later, the mucosal redness faded. We were able to confirm that the changes that were visualized in the bronchial mucosal circulation were in line with those reported in the gastrointestinal mucosa (7)(8)(9).…”

Section: Discussionsupporting

confidence: 85%

“…The IHb was calculated for each pixel of the electronic endoscopic images by logarithmic transformation of the Vr/Vg ratio using the following equation: IHb = 32[log 2 (Vr/Vg)] (8), where Vr indicates the signal brightness for red (wavelength near 650 nm, showing minimal absorption by Hb) and Vg indicates the signal brightness for green (wavelength near 560 nm, showing maximal absorption by Hb) (9). The IHb mode is easily activated by pushing a button of the high vision system during broncho fiber observation.…”

Section: Ihb Modementioning

confidence: 99%

“…The index of the hemoglobin (IHb) is a mode of endoscopic observation that visualizes levels of mucosal circulation (7)(8)(9). In the field of gastrointestinal endoscopy, the IHb image was reported to be useful in the early detection of gastric cancer, colorectal cancer and Helicobacter pylori infection by differentiating the circulation condition of mucosa (10)(11)(12)(13).…”

Section: Introductionmentioning

confidence: 99%

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Bronchoscopic assessment of bronchial anastomosis by visualizing local circulation status—index of hemoglobin (IHb) imaging

et al. 2018

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Background: Healing of airway anastomosis is largely affected by local circulation. Index of hemoglobin (IHb) imaging is a color enhancement technique that clarifies local circulation in the gastrointestinal endoscopic field. In this study, we investigated the relationship between bronchoscopic assessment of bronchial anastomosis using IHb mode and occurrence of anastomosis-related complications. Methods: IHb was calculated by logarithmic transformation for each pixel of the electronic endoscopic images and expressed by colors of red, green, and blue. The distribution of each color area was automatically calculated by the summation of pixels. A preliminary experiment spraying vasodilator on swine was performed to confirm the relationship between bronchial mucosal circulation and the IHb image. Forty consecutive patients who underwent bronchoplasty were divided into retrospective training and prospective validation cohorts, and anastomosis-related complications and IHb images were analyzed. Results: The IHb images immediately and accurately reflected the mucosal changes in the animal experiment. Among 25 cases in the retrospective training cohort, 6 cases experienced complications, with significantly lower red and higher blue values in IHb observed (P=0.03 and P=0.01, respectively). A receiver operating characteristic (ROC) curve for IHb red and blue distributions revealed the thresholds to differentiate cases with complications as 89.2 and 109.0, respectively. An analysis of the prospective validation cohort revealed that IHb blue on POD 7 was a potentially reliable predictor of complications, with 60.0% sensitivity and 90.0% specificity.Conclusions: IHb mode of bronchoscopy may be useful for assessing the local circulatory condition of bronchoplasty, which can predict anastomosis-related morbidity.

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Section: Discussionsupporting

confidence: 85%

Section: Ihb Modementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Bronchoscopic assessment of bronchial anastomosis by visualizing local circulation status—index of hemoglobin (IHb) imaging

et al. 2018

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“…Next, the color change enables the endoscopists to detect small, flat, or depressed lesions and predict the histological type of gastric cancers; therefore, the color of a lesion observed during endoscopy is important for endoscopic diagnosis of EGCs. 14 EGCs are observed as reddish or discolored lesions compared to the surrounding non-cancerous mucosa. Histopathological studies have reported that the color change observed during endoscopy in EGCs is associated with the vascularity within the car-cinomatous mucosa; 15,16 the mucosal vascularity of most differentiated-type cancers is similar or higher compared to the surrounding non-cancerous mucosa, and that of most undifferentiated-type cancers is lower than that of the surrounding non-cancerous mucosa.…”

Section: Qulatative Diagnosis Of Egc 1 Prediction Of Histological Typementioning

confidence: 99%

“…Therefore, in general, differentiated-type EGCs have the same or reddish color as the surrounding non-cancerous mucosa, whereas undifferentiated-type EGCs are observed as discolored lesions compared to the surrounding mucosa. 14,17 In summary, endoscopists can predict the histological type of EGCs based on the macroscopic shape and color of the lesions (Fig. 3).…”

Section: Qulatative Diagnosis Of Egc 1 Prediction Of Histological Typementioning

confidence: 99%

Systematic Endoscopic Approach to Early Gastric Cancer in Clinical Practice

Kim

2021

Gut and Liver

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Early gastric cancers (EGCs) are defined as gastric cancers confined to the mucosa or submucosa, regardless of regional lymph node metastasis. The proportion of EGCs has been increasing due to the increase in screening endoscopy for gastric cancers; therefore, the paradigm shift from surgical resection to endoscopic resection as a treatment modality for selected EGCs is accelerating. For successful endoscopic resection of EGCs, it is important to detect EGCs at an early stage and to accurately predict the histological type, depth of invasion, and horizontal margins of the tumor. The diagnostic process of EGCs can be divided into three steps: presence diagnosis, qualitative diagnosis, and quantitative diagnosis. The presence diagnosis of EGCs is mainly based on two endoscopic findings: a well-demarcated lesion and irregularity in the color/surface pattern. Qualitative diagnosis refers to the prediction of histological type, which is mainly possible based on the macroscopic shape and color of the lesion. Quantitative diagnosis of EGCs consists of predicting the depth of invasion by detailed examination of the macroscopic morphology and determining horizontal margins using chromoendoscopy. Although advanced diagnostic modalities, such as endosonography or magnifying endoscopy, are helpful for the qualitative and quantitative diagnosis of EGCs, these modalities are not available in most hospitals. Therefore, it is still very important to evaluate EGCs systematically during conventional endoscopy for successful endoscopic treatment.

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Developing an automatic brachial artery segmentation and bloodstream analysis tool using possibilistic C-means clustering from color doppler ultrasound images

Park

Song

Kim

2021

IJECE

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Automatic segmentation of brachial artery and blood-flow dynamics are important for early detection of cardiovascular disease and other vascular endothelial malfunctions. In this paper, we propose a software that is noise tolerant and fully automatic in segmentation of brachial artery from color Doppler ultrasound images. Possibilistic C-Means clustering algorithm is applied to make the automatic segmentation. We use HSV color model to enhance the contrast of bloodstream area in the input image. Our software also provides index of hemoglobin distribution with respect to the blood flow velocity for pathologists to proceed further analysis. In experiment, the proposed method successfully extracts the target area in 59 out of 60 cases (98.3%) with field expert’s verification.

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Analysis of Endoscopic Electronic Image of Intramucosal Gastric Carcinoma Using a Software Program for Calculating Hemoglobin Index

Cited by 3 publications

References 14 publications

Bronchoscopic assessment of bronchial anastomosis by visualizing local circulation status—index of hemoglobin (IHb) imaging

Bronchoscopic assessment of bronchial anastomosis by visualizing local circulation status—index of hemoglobin (IHb) imaging

Systematic Endoscopic Approach to Early Gastric Cancer in Clinical Practice

Developing an automatic brachial artery segmentation and bloodstream analysis tool using possibilistic C-means clustering from color doppler ultrasound images

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