Suppr超能文献

卵巢癌的扩散加权磁共振成像:发挥优势并理解局限性

Diffusion-Weighted Magnetic Resonance Imaging in Ovarian Cancer: Exploiting Strengths and Understanding Limitations.

作者信息

Gagliardi Tanja, Adejolu Margaret, deSouza Nandita M

机构信息

Department of Imaging, The Royal Marsden NHS Foundation Trust, London SW3 6JJ, UK.

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London SW7 3RP, UK.

出版信息

J Clin Med. 2022 Mar 10;11(6):1524. doi: 10.3390/jcm11061524.

Abstract

Detection, characterization, staging, and response assessment are key steps in the imaging pathway of ovarian cancer. The most common type, high grade serous ovarian cancer, often presents late, so that accurate disease staging and response assessment are required through imaging in order to improve patient management. Currently, computerized tomography (CT) is the most common method for these tasks, but due to its poor soft-tissue contrast, it is unable to quantify early response within lesions before shrinkage is observed by size criteria. Therefore, quantifiable techniques, such as diffusion-weighted magnetic resonance imaging (DW-MRI), which generates high contrast between tumor and healthy tissue, are increasingly being explored. This article discusses the basis of diffusion-weighted contrast and the technical issues that must be addressed in order to achieve optimal implementation and robust quantifiable diffusion-weighted metrics in the abdomen and pelvis. The role of DW-MRI in characterizing adnexal masses in order to distinguish benign from malignant disease, and to differentiate borderline from frankly invasive malignancy is discussed, emphasizing the importance of morphological imaging over diffusion-weighted metrics in this regard. Its key role in disease staging and predicting resectability in comparison to CT is addressed, including its valuable use as a biomarker for following response within individual lesions, where early changes in the apparent diffusion coefficient in peritoneal metastases may be detected. Finally, the task of implementing DW-MRI into clinical trials in order to validate this biomarker for clinical use are discussed, along with the trials that include it within their protocols.

摘要

检测、特征描述、分期及疗效评估是卵巢癌成像流程中的关键步骤。最常见的类型,即高级别浆液性卵巢癌,往往发现较晚,因此需要通过成像进行准确的疾病分期和疗效评估,以改善患者管理。目前,计算机断层扫描(CT)是执行这些任务最常用的方法,但由于其软组织对比度较差,在通过大小标准观察到病变缩小之前,它无法对病变内的早期疗效进行量化。因此,诸如扩散加权磁共振成像(DW-MRI)等可量化技术正越来越多地得到探索,该技术能在肿瘤与健康组织之间产生高对比度。本文讨论了扩散加权对比度的基础以及为在腹部和盆腔实现最佳实施和稳健的可量化扩散加权指标而必须解决的技术问题。讨论了DW-MRI在表征附件肿块以区分良性与恶性疾病以及区分交界性与明显浸润性恶性肿瘤方面的作用,强调了在这方面形态学成像相对于扩散加权指标的重要性。阐述了其在疾病分期以及与CT相比预测可切除性方面的关键作用,包括其作为个体病变内疗效跟踪生物标志物的宝贵用途,在腹膜转移中可检测到表观扩散系数的早期变化。最后,讨论了将DW-MRI纳入临床试验以验证该生物标志物临床应用的任务,以及在其方案中纳入该技术的试验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b68d/8949455/353fa49612d2/jcm-11-01524-g001.jpg

相似文献

3
Diffusion weighted MRI in ovarian cancer.
Curr Opin Oncol. 2014 Sep;26(5):529-35. doi: 10.1097/CCO.0000000000000112.
7
More advantages in detecting bone and soft tissue metastases from prostate cancer using F-PSMA PET/CT.
Hell J Nucl Med. 2019 Jan-Apr;22(1):6-9. doi: 10.1967/s002449910952. Epub 2019 Mar 7.
8
Use of Diffusion-Weighted Magnetic Resonance Imaging and Apparent Diffusion Coefficient in Gastric Cancer Staging.
Curr Med Imaging. 2020;16(10):1278-1289. doi: 10.2174/1573405616666200218124926.
10
ADC-derived spatial features can accurately classify adnexal lesions.
J Magn Reson Imaging. 2018 Apr;47(4):1061-1071. doi: 10.1002/jmri.25854. Epub 2017 Sep 13.

引用本文的文献

1
CT and MRI in Advanced Ovarian Cancer: Advances in Imaging Techniques.
Korean J Radiol. 2025 Sep;26(9):841-854. doi: 10.3348/kjr.2025.0357.
2
Early Diagnosis of Ovarian Cancer: A Comprehensive Review of the Advances, Challenges, and Future Directions.
Diagnostics (Basel). 2025 Feb 7;15(4):406. doi: 10.3390/diagnostics15040406.
3
Updates on Imaging of Common Urogenital Neoplasms.
Cancers (Basel). 2024 Dec 30;17(1):84. doi: 10.3390/cancers17010084.
6
Ruptured Ovarian Cystic Teratoma: A Rare Diagnosis, Easily to Be Confused with Peritoneal Carcinomatosis.
Medicina (Kaunas). 2024 Mar 10;60(3):460. doi: 10.3390/medicina60030460.
8
Fertility-Preserving Surgery in a Young Nulligravid Woman with Bilateral Coexistence of a Granulosa Cell Tumor with a Teratoma.
Case Rep Obstet Gynecol. 2023 Sep 21;2023:9438575. doi: 10.1155/2023/9438575. eCollection 2023.
9
Recent Advances in Nanomaterials-Based Targeted Drug Delivery for Preclinical Cancer Diagnosis and Therapeutics.
Bioengineering (Basel). 2023 Jun 25;10(7):760. doi: 10.3390/bioengineering10070760.

本文引用的文献

1
Randomized Trial of Cytoreductive Surgery for Relapsed Ovarian Cancer.
N Engl J Med. 2021 Dec 2;385(23):2123-2131. doi: 10.1056/NEJMoa2103294.
2
Magnetic resonance imaging of pure ovarian dysgerminoma: a series of eight cases.
Cancer Imaging. 2021 Oct 28;21(1):58. doi: 10.1186/s40644-021-00427-1.
3
Diffusion-weighted MRI and PET/CT reproducibility in epithelial ovarian cancers during neoadjuvant chemotherapy.
Diagn Interv Imaging. 2021 Oct;102(10):629-639. doi: 10.1016/j.diii.2021.05.007. Epub 2021 Jun 7.
4
Proteomic Studies on the Management of High-Grade Serous Ovarian Cancer Patients: A Mini-Review.
Cancers (Basel). 2021 Apr 25;13(9):2067. doi: 10.3390/cancers13092067.
5
Prediction of optimal debulking surgery in ovarian cancer.
Gland Surg. 2021 Mar;10(3):1173-1181. doi: 10.21037/gs-2019-ursoc-08.
6
CT and MRI characteristics of ovarian mature teratoma in patients with anti-N-methyl-D-aspartate receptor encephalitis.
Diagn Interv Imaging. 2021 Jul-Aug;102(7-8):447-453. doi: 10.1016/j.diii.2021.02.010. Epub 2021 Mar 27.
9
Pure dysgerminoma of the ovary: CT and MRI features with pathological correlation in 13 tumors.
J Ovarian Res. 2020 Jun 17;13(1):71. doi: 10.1186/s13048-020-00674-z.
10
Molecular Imaging of Peritoneal Carcinomatosis in Ovarian Carcinoma.
AJR Am J Roentgenol. 2020 Aug;215(2):305-312. doi: 10.2214/AJR.19.22621. Epub 2020 Jun 17.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验