• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
MRI Volumetrics and Image Texture Analysis in Assessing Systemic Treatment Response in Extra-Abdominal Desmoid Fibromatosis.MRI 容积测量和图像纹理分析在评估腹外型纤维瘤病系统治疗反应中的应用。
Radiol Imaging Cancer. 2021 Jul;3(4):e210016. doi: 10.1148/rycan.2021210016.
2
Progressive Desmoid Tumor: Radiomics Compared With Conventional Response Criteria for Predicting Progression During Systemic Therapy-A Multicenter Study by the French Sarcoma Group.进行性侵袭性纤维瘤病:放射组学与常规反应标准预测全身治疗期间进展的比较——法国肉瘤研究组的一项多中心研究。
AJR Am J Roentgenol. 2020 Dec;215(6):1539-1548. doi: 10.2214/AJR.19.22635. Epub 2020 Sep 29.
3
Desmoid fibromatosis: MRI features of response to systemic therapy.硬纤维瘤病:全身治疗反应的MRI特征
Skeletal Radiol. 2016 Oct;45(10):1365-73. doi: 10.1007/s00256-016-2439-y. Epub 2016 Aug 9.
4
Magnetic resonance imaging patterns of tumor response to chemotherapy in desmoid-type fibromatosis.磁共振成像在硬纤维瘤型纤维瘤病化疗反应中的肿瘤反应模式。
Cancer Med. 2021 Jul;10(13):4356-4365. doi: 10.1002/cam4.3973. Epub 2021 Jun 8.
5
MRI T2 mapping assessment of T2 relaxation time in desmoid tumors as a quantitative imaging biomarker of tumor response: preliminary results.MRI T2 映射评估韧带样瘤中 T2 弛豫时间作为肿瘤反应的定量成像生物标志物:初步结果
Front Oncol. 2023 Dec 22;13:1286807. doi: 10.3389/fonc.2023.1286807. eCollection 2023.
6
Clinical benefit of methotrexate plus vinorelbine chemotherapy for desmoid fibromatosis (DF) and correlation of treatment response with MRI.甲氨蝶呤联合长春瑞滨化疗治疗硬纤维瘤(DF)的临床获益及与 MRI 的治疗反应相关性。
Cancer Med. 2019 Sep;8(11):5047-5057. doi: 10.1002/cam4.2374. Epub 2019 Jul 13.
7
MR-guided focused ultrasound therapy of extra-abdominal desmoid tumors: a multicenter retrospective study of 105 patients.MR 引导下的腹腔外韧带样瘤聚焦超声治疗:105 例患者的多中心回顾性研究。
Eur Radiol. 2024 Feb;34(2):1137-1145. doi: 10.1007/s00330-023-10073-9. Epub 2023 Aug 24.
8
Desmoid-type fibromatosis: Tumour response assessment using magnetic resonance imaging signal and size criteria.韧带样型纤维瘤病:使用磁共振成像信号和大小标准进行肿瘤反应评估。
Clin Imaging. 2020 Dec;68:111-120. doi: 10.1016/j.clinimag.2020.06.021. Epub 2020 Jun 15.
9
Correlation between tumor growth and hormonal therapy with MR signal characteristics of desmoid-type fibromatosis: A preliminary study.肿瘤生长与激素治疗与韧带样型纤维瘤病的 MR 信号特征的相关性:一项初步研究。
Diagn Interv Imaging. 2019 Jan;100(1):47-55. doi: 10.1016/j.diii.2018.06.007. Epub 2018 Jul 20.
10
Assessment of Therapy Response to Transarterial Radioembolization for Liver Metastases by Means of Post-treatment MRI-Based Texture Analysis.通过基于治疗后MRI的纹理分析评估经动脉放射性栓塞治疗肝转移瘤的疗效。
Cardiovasc Intervent Radiol. 2018 Oct;41(10):1545-1556. doi: 10.1007/s00270-018-2004-2. Epub 2018 Jun 7.

引用本文的文献

1
A follow-up study on the novel use of contrast-enhanced susceptibility-weighted imaging for extremity desmoid fibromatosis response assessment.对比增强磁共振弹性成像在肢体韧带样纤维瘤病反应评估中的新应用随访研究。
Sci Rep. 2025 Jul 1;15(1):20515. doi: 10.1038/s41598-025-05561-5.
2
The Desmoid Dilemma: Challenges and Opportunities in Assessing Tumor Burden and Therapeutic Response.硬纤维瘤难题:评估肿瘤负荷与治疗反应中的挑战与机遇
Curr Oncol. 2025 May 21;32(5):288. doi: 10.3390/curroncol32050288.
3
Building a pre-surgical multiparametric-MRI-based morphologic, qualitative, semiquantitative, first and high-order radiomic predictive treatment response model for undifferentiated pleomorphic sarcoma to replace RECIST.建立基于术前多参数MRI的形态学、定性、半定量、一阶和高阶放射组学预测模型,用于未分化多形性肉瘤的治疗反应预测,以取代实体瘤疗效评价标准(RECIST)。
Cancer Imaging. 2025 Apr 26;25(1):56. doi: 10.1186/s40644-025-00873-1.
4
MRI features that predict progression of residual disease after ablation of extra-abdominal desmoid fibromatosis.预测腹外硬纤维瘤病消融术后残留疾病进展的MRI特征。
Eur Radiol. 2025 Jul;35(7):4161-4170. doi: 10.1007/s00330-024-11319-w. Epub 2025 Jan 21.
5
Imaging manifestations of cervical aggressive fibromatosis: a case report and literature review.颈部侵袭性纤维瘤病的影像学表现:1例病例报告及文献复习
Front Oncol. 2024 Oct 11;14:1458486. doi: 10.3389/fonc.2024.1458486. eCollection 2024.
6
Mediastinal monophasic synovial sarcoma with vertebral metastases: A case report.伴有脊柱转移的纵隔单相滑膜肉瘤:病例报告
Clin Case Rep. 2024 Sep 3;12(9):e9303. doi: 10.1002/ccr3.9303. eCollection 2024 Sep.
7
Imaging-Based Deep Learning for Predicting Desmoid Tumor Progression.基于成像的深度学习用于预测硬纤维瘤进展
J Imaging. 2024 May 17;10(5):122. doi: 10.3390/jimaging10050122.
8
MRI T2 mapping assessment of T2 relaxation time in desmoid tumors as a quantitative imaging biomarker of tumor response: preliminary results.MRI T2 映射评估韧带样瘤中 T2 弛豫时间作为肿瘤反应的定量成像生物标志物:初步结果
Front Oncol. 2023 Dec 22;13:1286807. doi: 10.3389/fonc.2023.1286807. eCollection 2023.
9
Desmoid-type fibromatosis: imaging features and course.韧带样型纤维瘤病:影像学特征及病程
Skeletal Radiol. 2023 Jul;52(7):1293-1303. doi: 10.1007/s00256-023-04275-x. Epub 2023 Jan 16.
10
The Role of Pharmacotherapeutic Agents in Children with Desmoid Tumors.药物治疗在儿童硬纤维瘤中的作用。
Paediatr Drugs. 2022 Sep;24(5):433-445. doi: 10.1007/s40272-022-00526-x. Epub 2022 Jul 29.

本文引用的文献

1
Progressive Desmoid Tumor: Radiomics Compared With Conventional Response Criteria for Predicting Progression During Systemic Therapy-A Multicenter Study by the French Sarcoma Group.进行性侵袭性纤维瘤病:放射组学与常规反应标准预测全身治疗期间进展的比较——法国肉瘤研究组的一项多中心研究。
AJR Am J Roentgenol. 2020 Dec;215(6):1539-1548. doi: 10.2214/AJR.19.22635. Epub 2020 Sep 29.
2
The management of desmoid tumours: A joint global consensus-based guideline approach for adult and paediatric patients.《韧带样纤维瘤的治疗管理:成人和儿童患者基于全球共识的联合指南方法》
Eur J Cancer. 2020 Mar;127:96-107. doi: 10.1016/j.ejca.2019.11.013. Epub 2020 Jan 28.
3
MRI Radiomic Features Are Independently Associated With Overall Survival in Soft Tissue Sarcoma.MRI影像组学特征与软组织肉瘤的总生存期独立相关。
Adv Radiat Oncol. 2019 Feb 23;4(2):413-421. doi: 10.1016/j.adro.2019.02.003. eCollection 2019 Apr-Jun.
4
Sorafenib for Advanced and Refractory Desmoid Tumors.索拉非尼治疗晚期和难治性硬纤维瘤。
N Engl J Med. 2018 Dec 20;379(25):2417-2428. doi: 10.1056/NEJMoa1805052.
5
T -based MRI Delta-radiomics improve response prediction in soft-tissue sarcomas treated by neoadjuvant chemotherapy.基于 T1 加权 MRI 的 Delta 放射组学可改善新辅助化疗治疗的软组织肉瘤的反应预测。
J Magn Reson Imaging. 2019 Aug;50(2):497-510. doi: 10.1002/jmri.26589. Epub 2018 Dec 19.
6
Radiomics: the facts and the challenges of image analysis.放射组学:图像分析的现状与挑战
Eur Radiol Exp. 2018 Nov 14;2(1):36. doi: 10.1186/s41747-018-0068-z.
7
Soft Tissue Sarcomas: Preoperative Predictive Histopathological Grading Based on Radiomics of MRI.软组织肉瘤:基于 MRI 影像组学的术前预测性组织病理学分级。
Acad Radiol. 2019 Sep;26(9):1262-1268. doi: 10.1016/j.acra.2018.09.025. Epub 2018 Oct 28.
8
Current Update on Desmoid Fibromatosis.韧带样纤维瘤病的最新进展
J Comput Assist Tomogr. 2019 Jan-Feb;43(1):29-38. doi: 10.1097/RCT.0000000000000790.
9
Computational Radiomics System to Decode the Radiographic Phenotype.用于解码影像学表型的计算放射组学系统
Cancer Res. 2017 Nov 1;77(21):e104-e107. doi: 10.1158/0008-5472.CAN-17-0339.
10
Surgical versus non-surgical approach in primary desmoid-type fibromatosis patients: A nationwide prospective cohort from the French Sarcoma Group.原发性韧带样型纤维瘤病患者手术与非手术治疗方法:来自法国肉瘤研究组的一项全国性前瞻性队列研究
Eur J Cancer. 2017 Sep;83:125-131. doi: 10.1016/j.ejca.2017.06.017. Epub 2017 Jul 20.

MRI 容积测量和图像纹理分析在评估腹外型纤维瘤病系统治疗反应中的应用。

MRI Volumetrics and Image Texture Analysis in Assessing Systemic Treatment Response in Extra-Abdominal Desmoid Fibromatosis.

机构信息

From the Departments of Radiology (T.K.S., N.A.), Pathology (A.R.), and Medicine-Medical Oncology (J.T., B.A.W.), Sylvester Comprehensive Cancer Center and the University of Miami Miller School of Medicine/Jackson Memorial Hospital, 1611 NW 12th Ave, JMH WW 279, Miami, FL 33136; Department of Radiology, University of Miami Miller School of Medicine, Miami, Fla (K.F., K.S.); and Department of Public Health Sciences, Sylvester Biostatistics and Bioinformatics Shared Resource, University of Miami Miller School of Medicine, Miami, Fla (D.K.).

出版信息

Radiol Imaging Cancer. 2021 Jul;3(4):e210016. doi: 10.1148/rycan.2021210016.

DOI:10.1148/rycan.2021210016
PMID:34213370
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8344342/
Abstract

Purpose To determine whether MRI volumetric and image texture analysis correlates with treatment-induced biologic changes in desmoid fibromatosis (DF) earlier than conventional response criteria. Materials and Methods This retrospective study included 27 patients with histologically proven extra-abdominal DF who were managed with active surveillance or systemic therapy (from 2004 to 2016). MRI volumetric and image texture parameters were derived from manual tumor segmentations, and tumor signal intensity was normalized to muscle. Results were compared with objective response rates based on Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1, World Health Organization (WHO) lesion response, volumetrics, and MRI-modified Choi criteria. Correlation coefficients () between image texture features and maximum tumor diameters were obtained by using a meta-analysis approach. Results The 27 included patients (mean age, 39 years; 74% women) were followed for an average of 4 years, comprising 207 distinct time-point assessments. The mean baseline tumor maximum diameter was 7.9 cm (range, 3.4-15.2 cm). Partial response (PR) rates as best response were 37%, 44%, 70%, and 81% by RECIST, WHO, volumetrics, and MRI-modified Choi criteria, respectively. Among the 10 tumors showing RECIST PR, a preceding MRI-modified Choi PR was observed in 70% (seven of 10), on average 1.3 years earlier. Multiple image texture parameters showed associations with objective measurements of tumor diameter including mean tumor-to-muscle signal ratio ( = 0.51; = .004), median tumor-to-muscle signal ratio ( = 0.52; = .003), energy ( = 0.48; < .001), run entropy ( = 0.32, = .04), and gray-level nonuniformity ( = 0.54; ≤ .001). Conclusion Volumetric signal and image texture assessment allows more comprehensive analysis of DF biologic change and may permit early prediction of DF behavior and therapeutic response. MR Imaging, Soft Tissues/Skin, Neoplasms-Primary © RSNA, 2021.

摘要

目的

在常规反应标准之前,确定 MRI 容积和图像纹理分析是否与诱导性纤维瘤病 (DF) 的治疗引起的生物学变化相关。

材料与方法

本回顾性研究纳入了 27 例经组织学证实的腹外 DF 患者,这些患者接受了主动监测或全身治疗(2004 年至 2016 年)。从手动肿瘤分割中得出 MRI 容积和图像纹理参数,并将肿瘤信号强度归一化为肌肉。结果与实体瘤反应评估标准(RECIST)1.1、世界卫生组织(WHO)病变反应、容积和 MRI 改良 Choi 标准的客观反应率进行比较。使用荟萃分析方法获得图像纹理特征与最大肿瘤直径之间的相关系数(r)。

结果

27 例纳入患者(平均年龄,39 岁;74%为女性)的平均随访时间为 4 年,共进行了 207 次不同时间点的评估。基线时最大肿瘤直径的平均值为 7.9 cm(范围,3.4-15.2 cm)。RECIST、WHO、容积和 MRI 改良 Choi 标准的最佳反应部分缓解(PR)率分别为 37%、44%、70%和 81%。在 10 个显示 RECIST PR 的肿瘤中,有 70%(7/10)在 MRI 改良 Choi PR 之前,平均提前 1.3 年。多个图像纹理参数与肿瘤直径的客观测量值相关,包括平均肿瘤与肌肉信号比(r = 0.51;P =.004)、中位数肿瘤与肌肉信号比(r = 0.52;P =.003)、能量(r = 0.48;P <.001)、运行熵(r = 0.32,P =.04)和灰度不均匀性(r = 0.54;P ≤.001)。

结论

容积信号和图像纹理评估允许更全面地分析 DF 的生物学变化,并可能允许早期预测 DF 的行为和治疗反应。

磁共振成像,软组织/皮肤,肿瘤-原发性

© RSNA,2021。