卵巢癌和结直肠癌腹膜转移的成像:ESGAR、ESUR、PSOGI 和 EANM 的联合建议。

IF 4.7 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING European Radiology Pub Date : 2024-11-05 DOI:10.1007/s00330-024-11124-5
Vincent Vandecaveye, Pascal Rousset, Stephanie Nougaret, Artem Stepanyan, Milagros Otero-Garcia, Olivera Nikolić, Maira Hameed, Karolien Goffin, Ignace H J de Hingh, Max J Lahaye
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引用次数: 0

摘要

目的:卵巢癌和结直肠癌腹膜转移的诊断成像在选择最合适的治疗方法以及平衡临床获益与治疗相关的发病率和死亡率方面仍然至关重要。为了应对与诊断成像以及检测和报告腹膜转移扩散相关的挑战,欧洲胃肠和腹部放射学会(ESGAR)、欧洲泌尿放射学会(ESUR)、国际腹膜表面肿瘤学组(PSOGI)和欧洲核医学协会(EANM)制定了一项联合指南:方法:进行了有针对性的文献检索,并使用德尔菲问卷和五点李克特量表提出了共识建议:结果:共进行了三轮德尔菲调查。就腹膜转移瘤的可手术性评估、治疗反应监测和随访的诊断成像定位、最佳成像方式及其成像技术要求(取决于适应症)以及如何通过报告和多学科委员会讨论优化成像结果的沟通等问题达成了共识。本文提供了完整的建议清单:这些专家共识声明旨在为卵巢癌和结直肠癌患者腹膜转移的可手术性评估、治疗反应监测和随访的适当适应症、影像学采集、解释和报告提供指导:问题:腹膜转移(PM)分期有助于指导结直肠癌和卵巢癌患者的临床决策。如何优化使用成像技术来评估腹膜转移灶?研究结果 影像学在结直肠癌和卵巢癌患者腹膜转移灶的检测、可手术性评估、治疗反应监测和随访中发挥着至关重要的作用。临床相关性 这些专家共识声明旨在为卵巢癌和结直肠癌患者腹膜转移的可手术性评估、治疗反应监测和随访中影像学的适当指征、获取、解释和报告提供指导。
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Imaging of peritoneal metastases of ovarian and colorectal cancer: joint recommendations of ESGAR, ESUR, PSOGI, and EANM.

Objectives: Diagnostic imaging of peritoneal metastases in ovarian and colorectal cancer remains pivotal in selecting the most appropriate treatment and balancing clinical benefit with treatment-related morbidity and mortality. To address the challenges related to diagnostic imaging and detecting and reporting peritoneal metastatic spread, a joint guideline was created by the European Society of Gastrointestinal and Abdominal Radiology (ESGAR), European Society of Urogenital Radiology (ESUR), Peritoneal Surface Oncology Group International (PSOGI), and European Association of Nuclear Medicine (EANM).

Methods: A targeted literature search was performed and consensus recommendations were proposed using Delphi questionnaires and a five-point Likert scale.

Results: A total of three Delphi rounds were performed. Consensus was reached on the position of diagnostic imaging for assessment of operability, treatment response monitoring, and follow-up of peritoneal metastases, optimal imaging modality and their technical imaging requirements depending on the indication and how to optimise communication of imaging results by the report and multidisciplinary board discussion. The complete list of recommendations is provided.

Conclusion: These expert consensus statements aim to guide appropriate indications, acquisition, interpretation, and reporting of imaging for operability assessment, treatment response monitoring, and follow-up of peritoneal metastases in ovarian and colorectal cancer patients.

Key points: Question Staging peritoneal metastases (PM) helps to guide clinical decision-making for colorectal and ovarian cancer patients. How can we optimise the use of imaging techniques to assess PM? Findings Imaging plays a crucial role in the detection, operability assessment, treatment response monitoring, and follow-up of peritoneal metastases in colorectal and ovarian cancer patients. Clinical relevance These expert consensus statements aim to guide appropriate indication, acquisition, interpretation, and reporting of imaging for operability assessment, treatment response monitoring, and follow-up of peritoneal metastases in ovarian and colorectal cancer patients.

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来源期刊
European Radiology
European Radiology 医学-核医学
CiteScore
11.60
自引率
8.50%
发文量
874
审稿时长
2-4 weeks
期刊介绍: European Radiology (ER) continuously updates scientific knowledge in radiology by publication of strong original articles and state-of-the-art reviews written by leading radiologists. A well balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes ER an indispensable source for current information in this field. This is the Journal of the European Society of Radiology, and the official journal of a number of societies. From 2004-2008 supplements to European Radiology were published under its companion, European Radiology Supplements, ISSN 1613-3749.
期刊最新文献
Correction: Comparison between CT volumetry and extracellular volume fraction using liver dynamic CT for the predictive ability of liver fibrosis in patients with hepatocellular carcinoma. Correction: Development and evaluation of two open-source nnU-Net models for automatic segmentation of lung tumors on PET and CT images with and without respiratory motion compensation. Correction: Machine learning detects symptomatic patients with carotid plaques based on 6-type calcium configuration classification on CT angiography. Natural language processing pipeline to extract prostate cancer-related information from clinical notes. ESR Essentials: characterisation and staging of adnexal masses with MRI and CT-practice recommendations by ESUR.
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