MRI评价1例直肠癌新辅助放化疗结果,辅以肿瘤T2WI结构分析(临床病例)
- 作者: Dayneko Y.1, Berezovskaya T.1, Myalina S.1, Orekhov I.1, Nevolskikh A.1
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隶属关系:
- А. Tsyb Medical Radiological Research Centre – branch of the National Medical Research Radiological Centre
- 期: 卷 2, 编号 1 (2021)
- 页面: 67-74
- 栏目: 临床病例及临床病例的系列
- URL: https://journals.rcsi.science/DD/article/view/60493
- DOI: https://doi.org/10.17816/DD60493
- ID: 60493
如何引用文章
详细
本文报告一名对新辅助化疗有良好反应的73岁下段壶腹直肠癌患者,采用积极动态随访策略(Watch & Wait策略)的临床病例。经过三年的定期随访,包括指状直肠检查、直肠镜检查和磁共振成像(MRI),表明肿瘤没有进展,得到了18F氟脱氧葡萄糖正电子发射断层摄影与计算机断层摄影的结果。结果显示直肠下段壶腹部有一个高代谢活动的部位(SUVmax 27.1),因此决定进行手术治疗。讨论手术范围时,考虑MRI资料,辅以T2WI分析结果,证实无疾病进展。患者接受了保留器官的经肛门肿瘤切除体积的治疗。手术准备的病理形态学检查确定了肠壁炎症改变和肿瘤的消失。本案例证明了标准调查体积在使用Watch & Wait策略时的有效性,以及使用T2WI分析来提高MRI评估肿瘤对放化疗反应的可靠性的可能性。
作者简介
Yana Dayneko
А. Tsyb Medical Radiological Research Centre – branch of the National Medical Research Radiological Centre
Email: vorobeyana@gmail.com
ORCID iD: 0000-0002-4524-0839
SPIN 代码: 1841-7759
MD, Research Associate
俄罗斯联邦, 4 Korolev st., Obninsk, 249036Tatiana Berezovskaya
А. Tsyb Medical Radiological Research Centre – branch of the National Medical Research Radiological Centre
编辑信件的主要联系方式.
Email: berez@mrrc.obninsk.ru
ORCID iD: 0000-0002-3549-4499
SPIN 代码: 5837-3465
MD, Dr. Sci. (Med.) Professor, Chief Researcher
俄罗斯联邦, 4 Korolev st., Obninsk, 249036Sofia Myalina
А. Tsyb Medical Radiological Research Centre – branch of the National Medical Research Radiological Centre
Email: samyalina@mail.ru
ORCID iD: 0000-0001-6686-5419
MD, Junior Research Associate
俄罗斯联邦, 4 Korolev st., Obninsk, 249036Ivan Orekhov
А. Tsyb Medical Radiological Research Centre – branch of the National Medical Research Radiological Centre
Email: ivan.orekhov.vgma@gmail.com
ORCID iD: 0000-0001-6543-6356
SPIN 代码: 6040-8930
MD, Junior Research Associate
俄罗斯联邦, 4 Korolev st., Obninsk, 249036Aleksey Nevolskikh
А. Tsyb Medical Radiological Research Centre – branch of the National Medical Research Radiological Centre
Email: nevol@mrrc.obninsk.ru
ORCID iD: 0000-0001-5961-2958
SPIN 代码: 3787-6139
MD, Dr. Sci. (Med.)
俄罗斯联邦, 4 Korolev st., Obninsk, 249036参考
- Fedyanin MYu, Artamonova EV, Barsukov YuA, et al. Practical recommendations for the drug treatment of rectal cancer. Malignant tumors: Practical recommendations of RUSSCO. Russian Society of Clinical Oncology; 2020. (In Russ). doi: 10.18027/2224-5057-2020-10-3s2-23
- Gillies RJ, Kinahan PE, Hricak H. Radiomics: images are more than pictures, they are data. Radiology. 2016;278(2):563–577. doi: 10.1148/radiol.2015151169
- Haralick RM, Shanmugam K, Dinstein I. Textural features for image classification. IEEE Transactions on Systems, Man, and Cybernetics. 1973;SMC-3(6):610–621. doi: 10.1109/TSMC.1973.4309314
- Berezovskaya TP, Dayneko YaA, Nevolskikh AA, et al. A system for evaluating the effectiveness of neoadjuvant chemo radiotherapy in patients with colorectal cancer based on a texture analysis of post-therapeutic T2-WI magnetic resonance imaging. REJR. 2020;10(3):92–101. doi: 10.21569/2222-7415-2020-10-3-92-101
- Lambregts DM, Rao SX, Sassen S, et al. MRI and Diffusion-weighted MRI volumetry for identification of complete tumor responders after preoperative chemoradiotherapy in patients with rectal cancer: a bi-institutional validation study. Ann Surg. 2015;262(6):1034–1039. doi: 10.1097/SLA.0000000000000909
- Lambin P, Rios-Velazquez R, Leijenaar S, et al. Radiomics: Extracting more information from medical images using advanced feature analysis. Eur J Cancer. 2012;48(4):441–446. doi: 10.1016/j.ejca.2011.11.036
- Horvat N, Veeraraghavan H, Pelossof RA, et al. Radiogenomics of rectal adenocarcinoma in the era of precision medicine: A pilot study of associations between qualitative and quantitative MRI imaging features and genetic mutations. Eur J Radiol. 2019;113:174–181. doi: 10.1016/j.ejrad.2019.02.022
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