Efficacy and safety of regorafenib in Korean patients with advanced gastrointestinal stromal tumor after failure of imatinib and sunitinib: A multicenter study based on the management access program.

Son, Myoung Kyun; Ryu, Min‐Hee; Park, Joon Oh; Im, Seock‐Ah; Ryoo, Baek‐Yeol; Park, Sook Ryun; Kang, Yoon‐Koo

doi:10.1200/jco.2015.33.3_suppl.175

Cited by 1 publication

(1 citation statement)

References 14 publications

(15 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If the corners are selected as the seed points for region growth, it is necessary to use the four corners to process the region growth algorithm separately. Since the size of the stomach CT image is 512 × 512, and the stomach parenchyma is always in the middle part of the image, use these pieces of prior knowledge to directly draw a suitable ring on the image to keep the edges and corners of the image connected [20].Tumor metastasis is a multistep and complex process. Tumor cells need to complete a series of biological processes when they migrate from the primary tumor to specific tissues and organs to form metastasis, among which angiogenesis, matrix degradation, and tumor cell adhesion and colonization are the most important.…”

Section: Gastrointestinal Stromal Tumorsmentioning

confidence: 99%

CT Image Examination Based on Virtual Reality Analysis in Clinical Diagnosis of Gastrointestinal Stromal Tumors

Wang

Cai

et al. 2021

Journal of Healthcare Engineering

View full text Add to dashboard Cite

With the advancement and development of medical equipment, CT images have become a common lung examination tool. This article mainly studies the application of CT imaging examination based on virtual reality analysis in the clinical diagnosis of gastrointestinal stromal tumors. Before extracting suspected lymph nodes from a CT image of the stomach, the CT image sequence is preprocessed first, which can reduce the cumbersomeness of subsequent extraction of suspected lymph nodes and speed up the subsequent processing. According to medical knowledge, CT images of the stomach show that lymph nodes mainly exist in the adipose tissue around the gastric wall, but there are no lymph nodes in the subcutaneous fat outside the chest. The most basic gray value in the image and the neighborhood average difference feature related to gray level are used as the primary features of visual attention detection. When extracting the neighborhood average difference feature, we use a 3 ∗ 3 sliding window method to traverse each point of the pixel matrix in the image, thereby calculating the feature value of each pixel in the image. After the feature extraction is completed, it is necessary to calibrate the data and make a training data set. The SP immunohistochemical staining method was used. The specimens were fixed with 10% formaldehyde, routinely embedded in paraffin, sectioned, and stained with HE. The tumor tissue was determined by immunohistochemistry, and the reagents were products of Maixin Company. All patients were followed up by regular outpatient review, letters, and visits or phone calls. The data showed that immunohistochemical tumor cells showed positive staining for CD117 (14/15, 93.3%) and CD34 (10/15, 66.7%). The results show that the application of virtual reality technology to CT imaging examination can significantly improve the diagnostic accuracy of gastrointestinal stromal tumors.

show abstract

Section: Gastrointestinal Stromal Tumorsmentioning

confidence: 99%