乳房免疫学网络:朝着一个多学科和综合模式乳腺癌护理在意大利。

IF 4.4 2区 医学 Q1 ONCOLOGY
Cancers Pub Date : 2025-09-22 DOI:10.3390/cancers17183089
Andrea Botticelli, Ovidio Brignoli, Francesco Caruso, Giuseppe Curigliano, Vincenzo Di Lauro, Carla Masini, Mario Taffurelli, Giuseppe Viale
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引用次数: 0

摘要

背景:乳腺癌是意大利最常见的女性癌症。尽管存活率有所提高,但各地区在获得诊断、治疗和随访方面仍然存在显著差异。我们提出了一个综合的,多学科的护理模式-乳腺免疫学网络(BIN)来解决这些挑战。方法:该模型是通过与主要意见领袖和利益相关者进行两阶段专家咨询而开发的,与国家和欧洲肿瘤学指南保持一致。未收集到新的患者资料;这是一个基于专家共识和现有文献的定性分析。所提出的模型将中心辐射型癌症网络结构与功能齐全的多学科团队(mdt)、标准化护理途径(PDTA)和数字工具集成在一起,以确保护理的连续性。结果:专家确定了意大利乳腺癌护理的关键差距:进入专业中心的机会有限,对筛查项目的坚持不一致,以及开始治疗的延迟。拟议的BIN模式旨在通过加强所有护理级别之间的合作,适当地结合免疫疗法,并定义持续质量评估的关键绩效指标(kpi),来弥合这些差距。例如,定量目标包括实现≥65%的全国乳房x光检查依从性,并确保≥90%的患者在经认证的乳腺单位接受治疗。结论:乳腺免疫学网络提供了一个战略框架,以提高意大利乳腺癌护理的公平性、质量和及时性。重要的是,与现有的Hub-Spoke或CCCN模式不同,BIN规范了治理工具、统一的资格标准和免疫治疗的国家注册。通过将乳腺单位和社区服务联合起来,并通过整合免疫治疗和远程医疗等创新,BIN模式可以显著改善临床结果,并确保所有患者获得更公平的护理。它的实施可以作为其他卫生系统寻求通过多学科整合和先进治疗来优化肿瘤途径的参考模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Breast Immunology Network: Toward a Multidisciplinary and Integrated Model for Breast Cancer Care in Italy.

Background: Breast cancer is the most common female cancer in Italy. Despite better survival rates, significant disparities in access to diagnosis, treatment, and follow-up persist across regions. We propose an integrated, multidisciplinary care model-the Breast Immunology Network (BIN)-to address these challenges. Methods: The model was developed through a two-phase expert consultation with key opinion leaders and stakeholders, aligned with national and European oncology guidelines. No new patient data were collected; this is a qualitative analysis based on expert consensus and existing literature. The proposed model integrates a Hub-and-Spoke cancer network structure with fully functioning multidisciplinary teams (MDTs), standardized care pathways (PDTA), and digital tools to ensure continuity of care. Results: Experts identified critical gaps in Italy's breast cancer care: limited access to specialized centers, inconsistent adherence to screening programs, and delays in treatment initiation. The proposed BIN model aims to bridge these gaps by enhancing collaboration across all care levels, incorporating immunotherapy where appropriate, and defining key performance indicators (KPIs) for continuous quality evaluation. For example, quantitative targets include achieving ≥65% nationwide mammography screening adherence and ensuring ≥90% of patients are treated in certified Breast Units. Conclusions: The Breast Immunology Network offers a strategic framework to improve equity, quality, and timeliness of breast cancer care in Italy. Importantly, unlike existing Hub-Spoke or CCCN models, the BIN formalizes governance tools, harmonized eligibility criteria, and a national registry for immunotherapy. By uniting Breast Units and community services under shared governance, and by integrating innovations such as immunotherapy and telemedicine, the BIN model could significantly improve clinical outcomes and ensure more equitable care for all patients. Its implementation may serve as a reference model for other health systems seeking to optimize oncology pathways through multidisciplinary integration and advanced treatments.

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来源期刊
Cancers
Cancers Medicine-Oncology
CiteScore
8.00
自引率
9.60%
发文量
5371
审稿时长
18.07 days
期刊介绍: Cancers (ISSN 2072-6694) is an international, peer-reviewed open access journal on oncology. It publishes reviews, regular research papers and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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