Clinical combined PET/CT radiomics model prediction of benefit from platinum-based chemotherapy and chemoradiotherapy in patients with small cell lung cancer.

IF 1.3 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Mengye Peng, Xinyue Yang, Yanmei Wang, Liangqin Zhou, Fan Ge, Shijia Liu, Wei Liu, Liang Cheng, Kezheng Wang
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引用次数: 0

Abstract

Objective: To develop and validate a clinical combined radiomics model for predicting the treatment response and long-term survival prognosis of small cell lung cancer (SCLC) patients receiving platinum-based chemotherapy, as well as survival outcomes following chemoradiotherapy.

Methods: A total of 98 SCLC patients treated with platinum-based first-line chemotherapy were included in this study. Five prediction models for assessing the short-term efficacy of platinum-based first-line chemotherapy were developed using a logistic regression algorithm. The performance of the models was assessed by calculating the area under the curve of the receiver operating characteristic curves. For predicting progression-free survival (PFS) and overall survival in the platinum-based chemotherapy group and the chemoradiotherapy group, the optimal cutoff value was determined using X-tile software. Kaplan-Meier survival curves were plotted, and the log-rank test was used to compare survival outcomes.

Results: Among the five models for predicting short-term efficacy, the clinical combined positron emission tomography/computed tomography (PET/CT) radiomics model performed the best, achieving areas under the curve of 0.832 and 0.833 for the training and test sets, respectively. The Kaplan-Meier survival analysis indicated that both the high-scoring Combine group and high-scoring PET/CT group were significantly associated with worse PFS and worse overall survival in the platinum-only chemotherapy group. Additionally, the high-scoring CT group was significantly associated with worse PFS in the chemoradiotherapy group.

Conclusion: The clinical combined PET/CT radiomics model can noninvasively and accurately predict the response to platinum-based treatments in SCLC as well as long-term survival prognosis, which can contribute to personalized treatment strategies and guide precision therapy for SCLC patients.

目的开发并验证一种临床联合放射组学模型,用于预测接受铂类化疗的小细胞肺癌(SCLC)患者的治疗反应和长期生存预后,以及化放疗后的生存结果:本研究共纳入了98名接受铂类一线化疗的小细胞肺癌患者。采用逻辑回归算法建立了五个用于评估铂类一线化疗短期疗效的预测模型。通过计算接收者操作特征曲线下的面积来评估模型的性能。在预测铂类化疗组和化疗放疗组的无进展生存期(PFS)和总生存期时,使用X-tile软件确定了最佳临界值。绘制卡普兰-梅耶生存曲线,并使用对数秩检验比较生存结果:结果:在预测短期疗效的五个模型中,临床正电子发射断层扫描/计算机断层扫描(PET/CT)放射组学联合模型表现最佳,训练集和测试集的曲线下面积分别为 0.832 和 0.833。Kaplan-Meier生存分析表明,在纯铂化疗组中,高分Combine组和高分PET/CT组与较差的PFS和较差的总生存期显著相关。此外,在化疗放疗组中,CT高分组与较差的PFS显著相关:临床PET/CT放射组学联合模型可以无创、准确地预测SCLC患者对铂类治疗的反应以及长期生存预后,有助于制定个性化治疗策略,指导SCLC患者的精准治疗。
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来源期刊
CiteScore
2.20
自引率
6.70%
发文量
212
审稿时长
3-8 weeks
期刊介绍: Nuclear Medicine Communications, the official journal of the British Nuclear Medicine Society, is a rapid communications journal covering nuclear medicine and molecular imaging with radionuclides, and the basic supporting sciences. As well as clinical research and commentary, manuscripts describing research on preclinical and basic sciences (radiochemistry, radiopharmacy, radiobiology, radiopharmacology, medical physics, computing and engineering, and technical and nursing professions involved in delivering nuclear medicine services) are welcomed, as the journal is intended to be of interest internationally to all members of the many medical and non-medical disciplines involved in nuclear medicine. In addition to papers reporting original studies, frankly written editorials and topical reviews are a regular feature of the journal.
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