Dataset Information

The clinical implications of FDG-PET/CT differ according to histology in advanced gastric cancer.

ABSTRACT: BACKGROUND:The prognostic impact of preoperative 18F-FDG PET/CT in advanced gastric cancer (AGC) remains a matter of debate. This study aims to evaluate the prognostic impact of SUVmax in preoperative 18F-FDG PET/CT of AGC according to histologic subtype, with a focus on the differences between tubular adenocarcinoma and signet ring cell (SRC) carcinoma. METHODS:As a discovery set, a total of 727 AGC patients from prospective database were analyzed according to histologic subtype with Cox proportional hazard model and p-spline curves. In addition, another 173 patients from an independent institution was assessed as an external validation set. RESULTS:In multivariate analysis, high SUVmax in preoperative 18F-FDG PET/CT of AGC was negatively correlated with disease-free survival (DFS) and overall survival (OS) in patients with diffuse type (DFS: HR 2.17, P?

SUBMITTER: Chon HJ

PROVIDER: S-EPMC6314995 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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The clinical implications of FDG-PET/CT differ according to histology in advanced gastric cancer.

Chon Hong Jae HJ Kim Chan C Cho Arthur A Kim Yoo Min YM Jang Su Jin SJ Kim Bo Ok BO Park Chan Hyuk CH Hyung Woo Jin WJ Ahn Joong Bae JB Noh Sung Hoon SH Yun Mijin M Rha Sun Young SY

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association 20180609 1

<h4>Background</h4>The prognostic impact of preoperative <sup>18</sup>F-FDG PET/CT in advanced gastric cancer (AGC) remains a matter of debate. This study aims to evaluate the prognostic impact of SUV<sub>max</sub> in preoperative <sup>18</sup>F-FDG PET/CT of AGC according to histologic subtype, with a focus on the differences between tubular adenocarcinoma and signet ring cell (SRC) carcinoma.<h4>Methods</h4>As a discovery set, a total of 727 AGC patients from prospective database were analyzed ...[more]

PMID: 29948387

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Project description:IntroductionImmunotherapy has improved outcomes for patients with non-small cell lung cancer (NSCLC), yet durable clinical benefit (DCB) is experienced in only a fraction of patients. Here, we test the hypothesis that radiomics features from baseline pretreatment 18F-FDG PET/CT scans can predict clinical outcomes of NSCLC patients treated with checkpoint blockade immunotherapy.MethodsThis study included 194 patients with histologically confirmed stage IIIB-IV NSCLC with pretreatment PET/CT images. Radiomics features were extracted from PET, CT, and PET+CT fusion images based on minimum Kullback-Leibler divergence (KLD) criteria. The radiomics features from 99 retrospective patients were used to train a multiparametric radiomics signature (mpRS) to predict DCB using an improved least absolute shrinkage and selection operator (LASSO) method, which was subsequently validated in both retrospective (N = 47) and prospective test cohorts (N = 48). Using these cohorts, the mpRS was also used to predict progression-free survival (PFS) and overall survival (OS) by training nomogram models using multivariable Cox regression analyses with additional clinical characteristics incorporated.ResultsThe mpRS could predict patients who will receive DCB, with areas under receiver operating characteristic curves (AUCs) of 0.86 (95%CI 0.79-0.94), 0.83 (95%CI 0.71-0.94), and 0.81 (95%CI 0.68-0.92) in the training, retrospective test, and prospective test cohorts, respectively. In the same three cohorts, respectively, nomogram models achieved C-indices of 0.74 (95%CI 0.68-0.80), 0.74 (95%CI 0.66-0.82), and 0.77 (95%CI 0.69-0.84) to predict PFS and C-indices of 0.83 (95%CI 0.77-0.88), 0.83 (95%CI 0.71-0.94), and 0.80 (95%CI 0.69-0.91) to predict OS.ConclusionPET/CT-based signature can be used prior to initiation of immunotherapy to identify NSCLC patients most likely to benefit from immunotherapy. As such, these data may be leveraged to improve more precise and individualized decision support in the treatment of patients with advanced NSCLC.

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The clinical implications of FDG-PET/CT differ according to histology in advanced gastric cancer.

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The clinical implications of FDG-PET/CT differ according to histology in advanced gastric cancer.

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