Contrast-enhanced ultrasound imaging for intestinal lymphoma

Cui, Ning-Yi; Gong, Xuan-Tong; Tian, Yantao; Wang, Yong; Zhang, Rui; Liu, Mengjia; Han, Jie; Wang, Bo; Yang, Dan

doi:10.3748/wjg.v27.i32.5438

Cited by 5 publications

(3 citation statements)

References 31 publications

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“…Lymphoma described in the literature has the characteristics of lymphatic hila structure destruction, dense fibrous envelope, and peripheral blood vessels ( 22 ), which are consistent with our ultrasound features. In addition, the presence of many immature microvessels within lymphoma may induce blizzard-like enhancements in the CEUS images ( 23 ). Age, calcification present, heterogeneous enhancement, faster wash-in, and slower wash-out were found to be independent features related to metastatic LNs for differentiating them from benign LNs.…”

Section: Discussionmentioning

confidence: 99%

Classification of superficial suspected lymph nodes: non-invasive radiomic model based on multiphase contrast-enhanced ultrasound for therapeutic options of lymphadenopathy

Jiang,

Yuan,

Zhang

et al. 2024

Quant Imaging Med Surg

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Background Accurate determination of the types of lymphadenopathy is of great importance in disease diagnosis and treatment and is usually confirmed by pathological findings. Radiomics is a non-invasive tool that can extract quantitative information from medical images. Our study was designed to develop a non-invasive radiomic approach based on multiphase contrast-enhanced ultrasound (CEUS) images for the classification of different types of lymphadenopathy. Methods A total of 426 patients with superficial suspected lymph nodes (LNs) from three centres were grouped into a training cohort (n=190), an internal testing cohort (n=127), and an external testing cohort (n=109). The radiomic features were extracted from the prevascular phase, vascular phase, and postvascular phase of the CEUS images. Model 1 (the conventional feature model), model 2 (the multiphase radiomics model), and model 3 (the combined feature model) were established for lymphadenopathy classification. The area under the curve (AUC) and confusion matrix were used to evaluate the performance of the three models. The usefulness of the models was assessed in different threshold probabilities by decision curve analysis. Results There were 139 patients (32.6%) with benign LNs, 110 patients (25.8%) with lymphoma, and 177 patients (41.5%) with metastatic LNs in our population. Finally, twenty features were selected to construct the radiomics models for these three types of lymphadenopathy. Model 2 integrating multiphase images of the CEUS yielded the AUCs of 0.838, 0.739, and 0.733 in the training cohort, internal testing cohort, and external testing cohort, respectively. After the combination of conventional features and radiomic features, the AUCs of model 3 improved to 0.943, 0.823 and 0.785 in the training cohort, internal testing cohort, and external testing cohort. Besides, model 3 had an accuracy of 81.05%, sensitivity of 80%, and specificity of 90.43% in the training cohort. Model performance was further confirmed in the internal testing cohort and external testing cohort. Conclusions We constructed a combined feature model using a series of CEUS images for the classification of the lymphadenopathies. For patients with superficial suspected LNs, this model can help clinicians make a decision on the LN type noninvasively and choose appropriate treatments.

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Section: Discussionmentioning

confidence: 99%

Classification of superficial suspected lymph nodes: non-invasive radiomic model based on multiphase contrast-enhanced ultrasound for therapeutic options of lymphadenopathy

Jiang,

Yuan,

Zhang

et al. 2024

Quant Imaging Med Surg

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“…The imaging features of GI tumors vary depending on tumor size. Small tumors often have homogeneous density and regular margins, whereas large tumors tend to have irregular lobulated margins, mucosal ulceration, and heterogeneous enhancement due to necrosis, hemorrhage, or cavitation within the mass (4,5,13,19). GIST rupture can be suspected in tumors with a large size, lobulated shape, eccentric necrosis with peritonitis, hemoperitoneum or adjacent hematoma, and ascites on CT (19,22,23).…”

Section: Discussionmentioning

confidence: 99%

“…Other human studies used contrast-enhanced harmonic endoscopic ultrasonography for the early diagnosis of GISTs based on tumor blood flow and the positive sampling rate is higher in CEUS-guided biopsy than in conventional ultrasound-guided biopsy for detecting GISTs (2,22). However, veterinary studies performed CEUS of the GI tract in a few animals, including 14 healthy dogs, 26 dogs with chronic inflammatory enteropathy, and seven dogs with intestinal lymphoma (4,20,22).…”

Section: Introductionmentioning

confidence: 99%

Contrast Enhanced Ultrasonography and CT Features of Gastrointestinal Stromal Tumor in a Dog

Chhoey,

Kim,

Kang

et al. 2023

J Vet Clin

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A large abdominal mass was incidentally found in a 13-year-old mixed-breed dog and was confirmed to be a cecal gastrointestinal stromal tumor (GIST). Contrast-enhanced ultrasound and post-contrast computed tomography (CT) showed mild contrast enhancement of the mass, indicating low blood flow. The tumor origin was determined to be the cecum by identifying the vessels supplying the mass on post-contrast CT. The exophytic growth of the tumor left the cecal lumen intact without obstruction. This report described the CEUS and CT perfusion of the cecal GIST and perfusion evaluation can help diagnose and characterize GISTs in dogs.

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An unanticipated case of B‐cell lymphoma, presenting as skin bruises, detected incidentally during initial sonography

Babington

2024

Sonography

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IntroductionLymphomas are cancers of lymphatic origins, commonly presenting as a painless swelling of the lymph gland (adenopathy). Lymphomas are broadly categorised into Hodgkin and Non‐Hodgkin lymphoma. This report aims to present an unexpected case of B‐cell lymphoma that presented as skin bruises, incidentally detected on ultrasound as a nonspecific retroperitoneal mass.Case PresentationA 75‐year‐old female presented with a vaccine‐induced flare of her known Immune Thrombocytopenic Purpura (ITP). An initial ultrasound scan requested to examine her spleen revealed a right retroperitoneal abnormality affecting the adjacent right kidney and IVC. A subsequent triple‐phase contrast‐enhanced computed tomography (CT) scan revealed a large infiltrative mass involving the right kidney extending across the midline to the right of the patient's abdominal aorta. Lymphoma was suspected. Immunohistochemistry analysis of the CT‐guided biopsy samples revealed the presence of CD5‐negative low‐grade B‐cell lymphoma.DiscussionThis report presents a unique case of B‐cell lymphoma that manifested as skin bruises.Although ultrasound is not the gold standard imaging modality to test for lymphoma in the abdomen, it is imperative that ultrasound practitioners continue to complete a thorough abdominal ultrasound, even when specific organ requests are made, as in this case report. Ultrasound has a role in the detection of clinically asymptomatic incidental abdominal masses.ConclusionIt is important that a targeted ultrasound examination is avoided for patients with no recent imaging history within the department. This case highlights the importance of thorough ultrasound scanning to avoid missing incidental abnormalities as opposed to an organ‐specific targeted scanning.

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Contrast-enhanced ultrasound imaging for intestinal lymphoma

Cited by 5 publications

References 31 publications

Classification of superficial suspected lymph nodes: non-invasive radiomic model based on multiphase contrast-enhanced ultrasound for therapeutic options of lymphadenopathy

Classification of superficial suspected lymph nodes: non-invasive radiomic model based on multiphase contrast-enhanced ultrasound for therapeutic options of lymphadenopathy

Contrast Enhanced Ultrasonography and CT Features of Gastrointestinal Stromal Tumor in a Dog

An unanticipated case of B‐cell lymphoma, presenting as skin bruises, detected incidentally during initial sonography

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