Evidence map›Paper›PMID 39878902›Full record

ArticleEuropean radiology2025

The CT findings of extranodal natural killer/T-cell lymphoma, nasal type involving the gastrointestinal tract.

Yi Sun, Hailing Liu, Peiyi Xie, Pan Zhu, Xiaochun Meng

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Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Yi Sun *Department of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Hailing Liu *Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Peiyi Xie *Department of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Pan ZhuDepartment of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xiaochun MengDepartment of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. mengxch3@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-1302-0380

Funding

the Natural Science Foundation of Guangdong Province 2021A1515011795the Natural Science Foundation of Guangdong Province 2023A1515010333the Natural Science Foundation of Guangdong Province 2023A1515011292
6 · The paper itself

Abstract

objectivesTo analyze the CT imaging features of extranodal natural killer/T (NK/T)-cell lymphoma, nasal type (ENKTCL-NT) involving the gastrointestinal tract (GI), and to compare them with those of Crohn's disease (CD) and diffuse large B-cell lymphoma (DLBCL). MATERIALS AND

methodsData were retrospectively collected from 17 patients diagnosed with GI ENKTCL-NT, 68 patients with CD, and 47 patients with DLBCL. The CT findings of ENKTCL-NT were analyzed and compared with those of CD and DLBCL. Data were analyzed using SPSS (version 25.0) and MedCalc (version 18.2.1). p < 0.05 was considered statistically significant.

resultsThe 17 patients with ENKTCL-NT included 11 males (64.7%) and 6 females (35.3%) (mean age, 46.41 ± 4.12 years). The CT features of ENKTCL-NT included: circumferential symmetric thickening (100%), moderate thickening (70.6%), skip lesions (52.9%), contiguous lesion (47.1%), mucosal or layered enhancement (70.6%), moderate mural enhancement (64.7%) with non-enhanced regions (47.1%), absence of lymphadenopathy (76.5%), bowel perforation or fistula (17.6%), and peri-enteric blurred fat space (70.6%). The presence of circumferential symmetric thickening, moderate mural enhancement, and non-enhanced regions were more indicative of ENKTCL-NT than CD (17/17 vs. 17/68, 11/17 vs. 22/68, 8/17 vs. 0/68, p < 0.05). The presence of skip lesions, mucosal or layered enhancement, and absence of peri-enteric lymphadenopathy were more indicative of ENKTCL-NT than DLBCL (9/17 vs. 2/47, 12/17 vs. 1/37, 13/17 vs. 19/47, p < 0.05).

conclusionCT imaging features can provide useful information for the early diagnosis of ENKTCL-NT and effectively differentiate it from CD and DLBCL. KEY POINTS: Question Extranodal natural killer/T-cell lymphoma, nasal type (ENKTCL-NT) involving the gastrointestinal tract (GI) is highly malignant but easily misdiagnosed by clinicians and endoscopic examination. Findings CT could provide useful information in the diagnosis of ENKTCL-NT involving GI and in differentiating it from Crohn's disease and diffuse large B-cell lymphoma. Clinical relevance This study will help improve the ability of radiologists to diagnose ENKTCL-NT involving GI, and a more predictive diagnosis will also alert clinicians to perform multiple deep endoscopic biopsies, which will contribute to the early diagnosis and treatment of ENKTCL-NT.

Indexed as

Gastrointestinal NeoplasmsLymphoma, Extranodal NK-T-CellTomography, X-Ray ComputedAdultAgedCrohn DiseaseDiagnosis, DifferentialFemaleHumansMaleMiddle AgedRetrospective StudiesContrast-enhanced computed tomographyGastrointestinal tractLymphoma, Extranodal NK-T-cell

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.