用于预测接受新辅助化疗的乳腺癌患者病理反应的瘤内和瘤周 PET 放射线组学分析

IF 1.6 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Revista Espanola De Medicina Nuclear E Imagen Molecular Pub Date : 2024-05-01 DOI:10.1016/j.remn.2024.500002
A. Aksu , Z.G. Güç , K.A. Küçüker , A. Alacacıoğlu , B. Turgut
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引用次数: 0

摘要

方法对接受新辅助化疗(NAC)的浸润性导管癌女性患者进行回顾性评估。人工分割原发肿瘤的感兴趣体积(VOI)(VOI-T),然后在VOI-T周围添加一个体素厚的VOI来定义瘤周区域(VOI-PT)。根据 VOI 获取形态、基于强度、直方图和纹理参数。患者被分为两组,即 pCR 和非完全病理反应(npCR)。仅利用放射学特征创建 "放射学模型",利用放射学特征和免疫组化数据创建 "病理放射学模型"。在pCR和npCR患者中,唯一具有统计学意义的原发肿瘤特征是Morphological_Compacity-T(AUC:0.666)。在反应组之间,VOI-PT 的 2 个形态特征、1 个强度特征和 4 个纹理特征存在显著差异;Morphological_Compacity-PT 与 NGLDM_contrast-PT 之间没有相关性。计算得出的放射学模型的灵敏度和准确度值分别为 61.9% 和 75.8%(AUC:0.786)。结论与原发肿瘤一起评估 PET 周围肿瘤放射学特征,而不仅仅是原发肿瘤,能更好地预测乳腺癌患者对 NAC 的 pCR。
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Análisis radiómico PET intra y peritumoral para predecir la respuesta patológica en pacientes con cáncer de mama que reciben quimioterapia neoadyuvante

Objective

The aim of our study was to evaluate the contribution of 18Fluorine-fluorodeoxyglucose positron emission tomography (18F-FDG PET) radiomic data obtained from both the tumoral and peritumoral area in predicting pathological complete response (pCR) in patients with locally advanced breast cancer receiving neoadjuvant chemotherapy (NAC).

Methods

Female patients with a diagnosis of invasive ductal carcinoma who received NAC were evaluated retrospectively. The volume of interest (VOI) of the primary tumor (VOI-T) was manually segmented, then a voxel-thick VOI was added around VOI-T to define the peritumoral area (VOI-PT). Morphological, intensity-based, histogram and texture parameters were obtained from VOIs. The patients were divided into two groups as pCR and non-complete pathological response (npCR). A «radiomic model» was created with only radiomic features, and a «patho-radiomic model» was created using radiomic features and immunohistochemical data.

Results

Of the 66 patients included in the study, 21 were in the pCR group. The only statistically significant feature from the primary tumor among patients with pCR and npCR was Morphological_Compacity-T (AUC: 0.666). Between response groups, a significant difference was detected in 2 morphological, 1 intensity, 4 texture features from VOI-PT; no correlation was found between Morphological_Compacity-PT and NGLDM_contrast-PT. The obtained radiomic model's sensitivity and accuracy values were calculated as 61.9% and 75.8%, respectively (AUC: 0.786). When HER2 status was added, sensitivity and accuracy values of the patho-radiomic model increased to 85.7% and 81.8%, respectively (AUC: 0.903).

Conclusions

Evaluation of PET peritumoral radiomic features together with the primary tumor, rather than just the primary tumor, provides a better prediction of the pCR to NAC in patients with breast cancer.

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来源期刊
Revista Espanola De Medicina Nuclear E Imagen Molecular
Revista Espanola De Medicina Nuclear E Imagen Molecular RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
1.10
自引率
16.70%
发文量
85
审稿时长
24 days
期刊介绍: The Revista Española de Medicina Nuclear e Imagen Molecular (Spanish Journal of Nuclear Medicine and Molecular Imaging), was founded in 1982, and is the official journal of the Spanish Society of Nuclear Medicine and Molecular Imaging, which has more than 700 members. The Journal, which publishes 6 regular issues per year, has the promotion of research and continuing education in all fields of Nuclear Medicine as its main aim. For this, its principal sections are Originals, Clinical Notes, Images of Interest, and Special Collaboration articles.
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