胃肠间质瘤影像组学与临床病理特征的相关性分析

孙 德贤1, 马晓 明*2
1、青海大学临床医学院
2、青海大学附属医院，肿瘤外科一（胃肠）肛肠病区

摘要


胃肠道间质瘤（gastrointestinal stromal tumors，GISTs）作为最常见的胃肠道间叶源性肿瘤，近年来在临床和基础研究中受到越来越多的关注。这类肿瘤因其独特的生物学行为和临床表现，成为了肿瘤学研究的重要领域。影像组学作为一种新兴的研究方法，通过对医学影像进行定量分析，能够揭示肿瘤的形态学特征及其与临床病理特征的潜在关联，为胃肠间质瘤的诊断、预后评估及治疗决策提供了新的视角。目前的研究表明，影像组学特征如肿瘤大小、形态、边缘特征等可能与患者的临床病理特征如分级、分期及预后情况密切相关。然而，关于这些影像组学特征与临床病理特征之间具体的相关性及其机制仍需进一步探索。本文旨在综述当前胃肠间质瘤影像组学领域的研究现状，分析影像组学特征与临床病理特征的相关性，并提出未来的研究方向，以期为胃肠间质瘤的个体化诊疗提供理论依据。

关键词


胃肠间质瘤；影像组学；临床特征；病理特征；相关性分析

全文:

PDF


参考


[1]刘阳，贺雪梅.超声结合影像组学与AI在胃肠间质瘤诊断及预后评估中的应用进展[J/OL].重庆医科大学学报，1-7[2025-06-28].https：//doi.org/10.13406/j.cnki.cyxb.003841.

[2]Wu X, Dong D, Zhang L, Fang M, Zhu Y, He B, Ye Z, Zhang M, Zhang S, Tian J. Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study. Med Phys. 2021 May;48(5):2374-2385. doi: 10.1002/mp.14767. Epub 2021 Mar 30. PMID: 33580497.

[3]Cannella R, La Grutta L, Midiri M, Bartolotta TV. New advances in radiomics of gastrointestinal stromal tumors. World J Gastroenterol. 2020 Aug 28;26(32):4729-4738. doi: 10.3748/wjg.v26.i32.4729. PMID: 32921953; PMCID: PMC7459199.

[4]Wang FH, Zheng HL, Li JT, Li P, Zheng CH, Chen QY, Huang CM, Xie JW. Prediction of recurrence-free survival and adjuvant therapy benefit in patients with gastrointestinal stromal tumors based on radiomics features. Radiol Med. 2022 Oct;127(10):1085-1097. doi: 10.1007/s11547-022-01549-7. Epub 2022 Sep 4. PMID: 36057930.

[5]Wei Y, Lu Z, Ren Y. Predictive Value of a Radiomics Nomogram Model Based on Contrast-Enhanced Computed Tomography for KIT Exon 9 Gene Mutation in Gastrointestinal Stromal Tumors. Technol Cancer Res Treat. 2023 Jan-Dec;22:15330338231181260. doi: 10.1177/15330338231181260. PMID: 37296525; PMCID: PMC10272646.

[6]Xiao X, Han X, Sun Y, Zheng G, Miao Q, Zhang Y, Tan J, Liu G, He Q, Zhou J, Zheng Z, Jiang G, Song H. Development and interpretation of a multimodal predictive model for prognosis of gastrointestinal stromal tumor. NPJ Precis Oncol. 2024 Jul 26;8(1):157. doi: 10.1038/s41698-024-00636-4. Erratum in: NPJ Precis Oncol. 2024 Oct 21;8(1):237. doi: 10.1038/s41698-024-00738-z. PMID: 39060449; PMCID: PMC11282065.

[7]Yang L, Zhang D, Zheng T, Liu D, Fang Y. Predicting the progression-free survival of gastrointestinal stromal tumors after imatinib therapy through multi-sequence magnetic resonance imaging. Abdom Radiol (NY). 2024 Mar;49(3):801-813. doi: 10.1007/s00261-023-04093-8. Epub 2023 Nov 25. PMID: 38006414.

[8]Yang J, Shi W, Yang Z, Yu H, Wang M, Wei Y, Wen J, Zheng W, Zhang P, Zhao W, Chen L. Establishing a predictive model for tumor mutation burden status based on CT radiomics and clinical features of non-small cell lung cancer patients. Transl Lung Cancer Res. 2023 Apr 28;12(4):808-823. doi: 10.21037/tlcr-23-171. PMID: 37197623; PMCID: PMC10183386.

[9]Giudice F, Salerno S, Badalamenti G, Muto G, Pinto A, Galia M, Prinzi F, Vitabile S, Lo Re G. Gastrointestinal Stromal Tumors: Diagnosis, Follow-up and Role of Radiomics in a Single Center Experience. Semin Ultrasound CT MR. 2023 Jun;44(3):194-204. doi: 10.1053/j.sult.2023.03.005. Epub 2023 Mar 21. PMID: 37245884.

[10]Zhan QY, Xie LX, Wang C. [Promoting critical care system and capacity building in pulmonary and critical care medicine subspecialties]. Zhonghua Yi Xue Za Zhi. 2023 Oct 31;103(40):3149-3151. Chinese. doi: 10.3760/cma.j.cn112137-20230602-00919. PMID: 37879866.

[11]Zhuo M, Guo J, Tang Y, Tang X, Qian Q, Chen Z. Ultrasound radiomics model-based nomogram for predicting the risk Stratification of gastrointestinal stromal tumors. Front Oncol. 2022 Aug 26;12:905036. doi: 10.3389/fonc.2022.905036. PMID: 36091148; PMCID: PMC9459166.

[12]Floca R, Bohn J, Haux C, Wiestler B, Zöllner FG, Reinke A, Weiß J, Nolden M, Albert S, Persigehl T, Norajitra T, Baeßler B, Dewey M, Braren R, Büchert M, Fallenberg EM, Galldiks N, Gerken A, Götz M, Hahn HK, Haubold J, Haueise T, Große Hokamp N, Ingrisch M, Iuga AI, Janoschke M, Jung M, Kiefer LS, Lohmann P, Machann J, Moltz JH, Nattenmüller J, Nonnenmacher T, Oerther B, Othman AE, Peisen F, Schick F, Umutlu L, Wichtmann BD, Zhao W, Caspers S, Schlemmer HP, Schlett CL, Maier-Hein K, Bamberg F. Radiomics workflow definition & challenges - German priority program 2177 consensus statement on clinically applied radiomics. Insights Imaging. 2024 Jun 3;15(1):124. doi: 10.1186/s13244-024-01704-w. PMID: 38825600; PMCID: PMC11144687.

[13]Zhang XD, Zhang L, Gong TT, Wang ZR, Guo KL, Li J, Chen Y, Zhang JT, Ye BG, Ding J, Zhu JW, Liu F, Hu DM, Chen J, Zhou CH, Zou DW. A combined radiomic model distinguishing GISTs from leiomyomas and schwannomas in the stomach based on endoscopic ultrasonography images. J Appl Clin Med Phys. 2023 Jul;24(7):e14023. doi: 10.1002/acm2.14023. Epub 2023 May 11. PMID: 37166416; PMCID: PMC10338752.

[14]Huang Z, Huang W, Jiang L, Zheng Y, Pan Y, Yan C, Ye R, Weng S, Li Y. Decision Fusion Model for Predicting Microvascular Invasion in Hepatocellular Carcinoma Based on Multi-MR Habitat Imaging and Machine-Learning Classifiers. Acad Radiol. 2025 Apr;32(4):1971-1980. doi: 10.1016/j.acra.2024.10.007. Epub 2024 Oct 28. PMID: 39472207.

[15]Jin Y, Arimura H, Cui Y, Kodama T, Mizuno S, Ansai S. CT Image-Based Biopsy to Aid Prediction of HOPX Expression Status and Prognosis for Non-Small Cell Lung Cancer Patients. Cancers (Basel). 2023 Apr 10;15(8):2220. doi: 10.3390/cancers15082220. PMID: 37190150; PMCID: PMC10136849.

[16]Yang Z, Ma C, Ren J, Li M, Xv X, Fu X, Yang L. Identifying subtle differences : a radiomics model assessment for gastric schwannomas and gastrointestinal stromal tumors across risk grades. Front Oncol. 2024 Dec 18;14:1467665. doi: 10.3389/fonc.2024.1467665. PMID: 39744007; PMCID: PMC11688228.

[17]Sahu PK, Benjamin LA, Singh Aswal G, Williams-Persad A. ChatGPT in research and health professions education: challenges, opportunities, and future directions. Postgrad Med J. 2023 Dec 21;100(1179):50-55. doi: 10.1093/postmj/qgad090. PMID: 37819738.

[18]Zhao Y, Feng M, Wang M, Zhang L, Li M, Huang C. CT Radiomics for the Preoperative Prediction of Ki67 Index in Gastrointestinal Stromal Tumors: A Multi-Center Study. Front Oncol. 2021 Sep 14;11:689136. doi: 10.3389/fonc.2021.689136. PMID: 34595107; PMCID: PMC8476965.

[19]Benabdallah W, Ben Othmane M, Ouahchi I, Mestiri S, Belkacem O, Bouassida K, Hmida W, Jaidane M. Primary extragastrointestinal stromal tumor of the prostate: review of the literature and case report. Ann Med Surg (Lond). 2023 Apr 11;85(5):1888-1893. doi: 10.1097/MS9.0000000000000373. PMID: 37228978; PMCID: PMC10205276.

[20]Barat M, Pellat A, Dohan A, Hoeffel C, Coriat R, Soyer P. CT and MRI of Gastrointestinal Stromal Tumors: New Trends and Perspectives. Can Assoc Radiol J. 2024 Feb;75(1):107-117. doi: 10.1177/08465371231180510. Epub 2023 Jun 29. PMID: 37386745.


Refbacks

  • 当前没有refback。