Prioritizing breast cancer surgeries: insights from the KRONOS SCORE.

IF 3.5 3区 医学 Q2 ONCOLOGY Frontiers in Oncology Pub Date : 2025-01-21 eCollection Date: 2024-01-01 DOI:10.3389/fonc.2024.1465154
Lucía Navarro, Luis Perez-Bartivas, David Ponferrada, Javier Cejas, Juan Adrián Camús, Natalia Rangel, Maria Porras, Cristina Morales Estevez, Amalia Palacios Eito, Pilar Rioja, Marina Alvarez, Enrique Aranda, Juan De La Haba-Rodríguez
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Abstract

Introduction: In many healthcare systems, the time to surgery (TTS) is used as a quality measure in breast cancer (BC) care. Although guidelines suggest that a waiting period of up to four weeks is acceptable, this is often exceeded, potentially impacting treatment outcomes. The COVID-19 pandemic highlighted the need to reassess surgical urgency. This study aims to explore the relationship between TTS and clinical outcomes in BC patients, focusing on how TTS influences final tumor stage and lymph node involvement.

Materials and methods: A retrospective cohort study was conducted, including 924 women diagnosed with cT1-T3 BC without axillary lymph node involvement between 2014 and 2023. Preoperative staging was done using mammography and ultrasound, while postoperative staging relied on definitive anatomopathological reports. Statistical analyses included chi-square tests, Wilcoxon tests, and binary logistic regression. A prognostic score, the KRONOS SCORE, was developed based on significant variables from the final model, and internal validation was performed.

Results: Out of 924 patients, 781 had ductal carcinomas, 127 had lobular carcinomas, and 16 had other histologies. Breast-conserving surgery was performed on 664 patients, while 260 underwent mastectomy. TTS was less than 8 weeks for 513 patients and more than 8 weeks for 411 patients. No significant differences in tumor size changes were observed based on TTS. However, lymph node involvement increased from 23.8% in patients operated on within 8 weeks to 26.5% in those operated on after 8 weeks, with significant differences noted in poorly differentiated tumors (G3). The KRONOS SCORE, based on age, tumor grade, and size, was validated, showing a higher risk of lymph node involvement with higher scores.

Discussion: Although TTS did not significantly affect most clinical and pathological parameters, a trend towards increased lymph node involvement with prolonged TTS was observed, particularly in patients with poorly differentiated tumors (G3). The KRONOS SCORE offers a tool for prioritizing surgical patients based on risk factors. However, further multicenter and prospective studies are needed to validate these findings and the KRONOS SCORE model's effectiveness in different clinical settings.

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优先考虑乳腺癌手术:来自KRONOS SCORE的见解。
在许多医疗保健系统中,手术时间(TTS)被用作乳腺癌(BC)护理的质量衡量标准。尽管指南建议等待时间最多为四周是可以接受的,但通常超过了这个时间,可能会影响治疗结果。COVID-19大流行突出了重新评估手术紧迫性的必要性。本研究旨在探讨TTS与BC患者临床结局的关系,重点关注TTS如何影响最终肿瘤分期和淋巴结累及。材料和方法:回顾性队列研究,纳入2014年至2023年间924名诊断为cT1-T3 BC且未累及腋窝淋巴结的女性。术前分期通过乳房x线摄影和超声完成,术后分期依赖于明确的解剖病理报告。统计分析包括卡方检验、Wilcoxon检验和二元逻辑回归。预后评分KRONOS score基于最终模型的重要变量,并进行内部验证。结果:924例患者中,导管癌781例,小叶癌127例,其他组织学16例。664名患者接受了保乳手术,260名患者接受了乳房切除术。513例患者TTS少于8周,411例患者TTS超过8周。基于TTS的肿瘤大小变化无明显差异。然而,淋巴结受累从8周内手术患者的23.8%增加到8周后手术患者的26.5%,在低分化肿瘤(G3)中有显著差异。基于年龄、肿瘤分级和大小的KRONOS评分得到了验证,评分越高,淋巴结受累性风险越高。讨论:尽管TTS对大多数临床和病理参数没有显著影响,但观察到延长TTS有增加淋巴结受累的趋势,特别是在低分化肿瘤(G3)患者中。KRONOS SCORE提供了一种基于风险因素对手术患者进行优先排序的工具。然而,需要进一步的多中心和前瞻性研究来验证这些发现和KRONOS SCORE模型在不同临床环境中的有效性。
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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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