The role of FDG PET/CT radiomics in the prediction of pathological response to neoadjuvant treatment in patients with esophageal cancer

被引：1

作者：

Eifer, Michal ^{[1
]}

Peters-Founshtein, Gregory ^{[1
]}

Yoel, Lotem Cohn ^{[1
]}

Pinian, Hodaya ^{[2
]}

Steiner, Roee ^{[3
]}

Klang, Eyal ^{[1
,4
]}

Catalano, Onofrio A. ^{[5
,6
,7
]}

Eshet, Yael ^{[1
]}

Domachevsky, Liran ^{[1
]}

机构：

[1] Sheba Med Ctr, Dept Nucl Imaging, Ramat Gan, Israel

[2] Tel Aviv Univ, Sackler Fac Med, Tel Aviv, Israel

[3] Bar Ilan Univ, Fac Engn, Ramat Gan, Israel

[4] Sharee Zedek Med Ctr, Jerusalem, Israel

[5] Chaim Sheba Med Ctr, Sami Sagol AI Hub, ARC, Ramat Gan, Israel

[6] Massachusetts Gen Hosp, Dept Radiol, Div Abdominal Imaging, Boston, MA USA

[7] Harvard Med Sch, Boston, MA USA

来源：

REPORTS OF PRACTICAL ONCOLOGY AND RADIOTHERAPY | 2024年 / 29卷 / 02期

关键词：

FDG PET/CT; esophageal cancer; radiomics; neoadjuvant therapy; pathological response; ESOPHAGOGASTRIC JUNCTION; CHEMOTHERAPY; SURVIVAL; CHEMORADIOTHERAPY; SURGERY; TRIAL;

D O I：

10.5603/rpor.99906

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Background: Attainment of a complete histopathological response following neoadjuvant therapy has been associated with favorable long-term survival outcomes in esophageal cancer patients. We investigated the ability of F-18-fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) radiomic features to predict the pathological response to neoadjuvant treatment in patients with esophageal cancer. Materials and methods: A retrospective review of medical records of patients with locally advanced resectable esophageal or esophagogastric junctional cancers. Included patients had a baseline FDG PET/CT scan and underwent Chemoradiotherapy for Oesophageal Cancer Followed by Surgery Study (CROSS) protocol followed by surgery. Four demographic variables and 107 PET radiomic features were extracted and analyzed using univariate and multivariate analyses to predict response to neoadjuvant therapy. Results: Overall, 53 FDG-avid primary esophageal cancer lesions were segmented and radiomic features were extracted. Seventeen radiomic features and 2 non-radiomics variables were found to exhibit significant differences between neoadjuvant therapy responders and non-responders. An unsupervised hierarchical clustering analysis using these 19 variables classified patients in a manner significantly associated with response to neoadjuvant treatment (p < 0.01). Conclusion: Our findings highlight the potential of FDG PET/CT radiomic features as a predictor for the response to neoadjuvant therapy in esophageal cancer patients. The combination of these radiomic features with select non-radiomic variables provides a model for stratifying patients based on their likelihood to respond to neoadjuvant treatment.

引用

页码：211 / 218

页数：8

共 37 条

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