Development and validation of a machine learning-based 18F-fluorodeoxyglucose PET/CT radiomics signature for predicting gastric cancer survival DOI Creative Commons

Huaiqing Zhi,

Yilan Xiang,

Chenbin Chen

и другие.

Cancer Imaging, Год журнала: 2024, Номер 24(1)

Опубликована: Июль 30, 2024

Abstract Background Survival prognosis of patients with gastric cancer (GC) often influences physicians’ choice their follow-up treatment. This study aimed to develop a positron emission tomography (PET)-based radiomics model combined clinical tumor-node-metastasis (TNM) staging predict overall survival (OS) in GC. Methods We reviewed the information total 327 pathological confirmation GC undergoing 18 F-fluorodeoxyglucose (18 F-FDG) PET scans. The were randomly classified into training ( n = 229) and validation 98) cohorts. extracted 171 features from images determined scores (RS) using least absolute shrinkage selection operator (LASSO) random forest (RSF). A model, including RS TNM staging, was constructed OS evaluated for discrimination, calibration, usefulness. Results On multivariate COX regression analysis, difference between age, carcinoembryonic antigen (CEA), TNM, statistically significant p < 0.05). developed based on results regression. had Harrell’s concordance index (C-index) 0.817 cohort 0.707 performed better than single staging. Further analyses showed higher who older 0.001) those elevated CEA 0.001). At different stages, associated worse prognosis. Conclusions Radiomics models RS, may provide new tools predicting

Язык: Английский

Identification and Validation of a Prognostic Model Based on Three MVI-Related Genes in Hepatocellular Carcinoma DOI Creative Commons
Yongchang Tang, Lei Xu, Yupeng Ren

и другие.

International Journal of Biological Sciences, Год журнала: 2021, Номер 18(1), С. 261 - 275

Опубликована: Ноя. 10, 2021

MVI has significant clinical value for treatment selection and prognosis evaluation in hepatocellular carcinoma (HCC). We aimed to construct a model based on MVI-Related Genes (MVIRGs) risk assessment prediction patients with HCC. This study utilized various statistical analysis methods prognostic construction validation the Cancer Genome Atlas (TCGA) International Consortium (ICGC) cohorts, respectively. In addition, immunohistochemistry qRT-PCR were used analyze identify of our cohort. After analyses, 153 differentially expressed MVIRGs identified, three key genes selected model. The high-risk group showed significantly lower overall survival (OS), this trend was observed all subgroups: different age groups, genders, stages, grades. Risk score factor independent age, gender, stage, grade. Moreover, ICGC cohort validated corresponding TCGA. cohort, that had higher expression levels HCC samples than normal controls. High scores recurrence-free (RFS) OS, especially MVI-positive samples. Therefore, constructed by can reliably predict RFS OS is valuable guiding

Язык: Английский

Процитировано

46
Radiomics Models for Predicting Microvascular Invasion in Hepatocellular Carcinoma: A Systematic Review and Radiomics Quality Score Assessment DOI Open Access
Qiang Wang, Changfeng Li, Jiaxing Zhang

и другие.

Cancers, Год журнала: 2021, Номер 13(22), С. 5864 - 5864

Опубликована: Ноя. 22, 2021

Preoperative prediction of microvascular invasion (MVI) is importance in hepatocellular carcinoma (HCC) patient treatment management. Plenty radiomics models for MVI have been proposed. This study aimed to elucidate the role and evaluate their methodological quality. The quality was assessed by Radiomics Quality Score (RQS), risk bias evaluated Assessment Diagnostic Accuracy Studies (QUADAS-2). Twenty-two studies using CT, MRI, or PET/CT were included. All retrospective studies, only two had an external validation cohort. AUC values ranged from 0.69 0.94 test Substantial heterogeneity existed, low, with average RQS score 10 (28% total). Most demonstrated a low unclear domains QUADAS-2. In conclusion, model could be accurate effective tool HCC patients, although has so far insufficient. Future prospective cohort accordance standardized workflow are expected supply reliable that translates into clinical utilization.

Язык: Английский

Процитировано

45
Radiomics for the detection of microvascular invasion in hepatocellular carcinoma DOI Creative Commons
Kun Lv, Xin Cao, Peng Du

и другие.

World Journal of Gastroenterology, Год журнала: 2022, Номер 28(20), С. 2176 - 2183

Опубликована: Май 27, 2022

Hepatocellular carcinoma (HCC) is the most common primary liver cancer, accounting for about 90% of cancer cases. It currently fifth in world and third leading cause cancer-related mortality. Moreover, recurrence HCC common. Microvascular invasion (MVI) a major factor associated with postoperative HCC. difficult to evaluate MVI using traditional imaging modalities. Currently, assessed primarily through pathological immunohistochemical analyses tissue samples. Needle biopsy method used confirm diagnosis before surgery. As puncture specimens represent just small part tumor, given heterogeneity HCC, samples may yield false-negative results. Radiomics, an emerging, powerful, non-invasive tool based on various modalities, such as computed tomography, magnetic resonance imaging, ultrasound, positron emission can predict HCC-MVI status preoperatively by delineating tumor and/or regions at certain distance from surface extract image features. Although positive results have been reported radiomics, its drawbacks limited clinical translation. This article reviews application preoperative evaluation explores future research directions that facilitate

Язык: Английский

Процитировано

39
Role of CT texture analysis for predicting peritoneal metastases in patients with gastric cancer DOI
Giorgio Maria Masci,

Fabio Ciccarelli,

Fabrizio Ivo Mattei

и другие.

La radiologia medica, Год журнала: 2022, Номер 127(3), С. 251 - 258

Опубликована: Янв. 23, 2022

Язык: Английский

Процитировано

36
Radiomics models for preoperative prediction of microvascular invasion in hepatocellular carcinoma: a systematic review and meta-analysis DOI
Xian Zhong, Haiyi Long, Liya Su

и другие.

Abdominal Radiology, Год журнала: 2022, Номер 47(6), С. 2071 - 2088

Опубликована: Апрель 1, 2022

Язык: Английский

Процитировано

29
Clinical application of AI-based PET images in oncological patients DOI

Jiaona Dai,

Hui Wang,

Yuchao Xu

и другие.

Seminars in Cancer Biology, Год журнала: 2023, Номер 91, С. 124 - 142

Опубликована: Март 10, 2023

Язык: Английский

Процитировано

22
Habitat radiomics based on CT images to predict survival and immune status in hepatocellular carcinoma, a multi-cohort validation study DOI Creative Commons
Kun Chen, Chunxiao Sui, Ziyang Wang

и другие.

Translational Oncology, Год журнала: 2025, Номер 52, С. 102260 - 102260

Опубликована: Янв. 5, 2025

Язык: Английский

Процитировано

1
Anatomic versus non-anatomic resection of hepatocellular carcinoma with microvascular invasion: A systematic review and meta-analysis DOI Creative Commons
Zhen Sun, Zhe Li, Xiaolei Shi

и другие.

Asian Journal of Surgery, Год журнала: 2021, Номер 44(9), С. 1143 - 1150

Опубликована: Март 23, 2021

The efficacy of anatomical resection (AR) and non-anatomical (NR) in the treatment hepatocellular carcinoma (HCC) patients with microvascular invasion (MVI) remains unknown. This study compared safety outcomes these surgical procedures. A systematic literature search was conducted. main were overall survival (OS), disease-free (DFS). Overall hazard ratio (HR) calculated from Kaplan–Meier plots using random-effects models. There no significant difference postoperative complications between AR NR groups (risk [RR]: 0.92, 95% confidence interval [CI]: 0.72–1.17, p = 0.496). OS higher at 1 year (RR: 0.66, CI: 0.45–0.98, 0.037), 3 years 0.64, 0.50–0.82, 0.000), 5 0.76, 0.65–0.89, 0.001). associated a rate (HR: 0.62, 0.47–0.82, improved DFS 0.65, 0.52 to 0.82, 0.75, 0.66 0.86, (95% 0.75 0.94, 0.002). Compared NR, had advantages on HR 0.45 0.91, 0.012). In conclusion, rates HCC MVI. Thus, for well-presented liver function which are predicted have positive MVI, is recommended.

Язык: Английский

Процитировано

34
Clinical Utility of F-18 Labeled Fibroblast Activation Protein Inhibitor (FAPI) for Primary Staging in Lung Adenocarcinoma: a Prospective Study DOI
Youcai Li, Xinqing Lin, Li Y

и другие.

Molecular Imaging and Biology, Год журнала: 2021, Номер 24(2), С. 309 - 320

Опубликована: Ноя. 23, 2021

Язык: Английский

Процитировано

34
Radiomics for the Preoperative Evaluation of Microvascular Invasion in Hepatocellular Carcinoma: A Meta-Analysis DOI Creative Commons
Liujun Li, Chaoqun Wu, Yongquan Huang

и другие.

Frontiers in Oncology, Год журнала: 2022, Номер 12

Опубликована: Апрель 7, 2022

Background Microvascular invasion (MVI) is an independent risk factor for postoperative recurrence of hepatocellular carcinoma (HCC). To perform a meta-analysis to investigate the diagnostic performance radiomics preoperative evaluation MVI in HCC and effect potential factors. Materials Methods A systematic literature search was performed PubMed, Embase, Cochrane Library studies focusing on with methods. Data extraction quality assessment retrieved were performed. Statistical analysis included data pooling, heterogeneity testing forest plot construction. Meta-regression subgroup analyses reveal explanatory factors [design, combination clinical factors, imaging modality, number participants, Quality Assessment Diagnostic Accuracy Studies 2 (QUADAS-2) applicability risk] performance. Results Twenty-two 4,129 patients prediction included. The pooled sensitivity, specificity area under receiver operating characteristic curve (AUC) 84% (95% CI: 81, 87), 83% 78, 87) 0.90 0.87, 0.92). Substantial observed among ( I² =94%, 95% 88, 99). showed that all investigative covariates contributed sensitivity P &lt; 0.05). Combined MRI, CT participants Subgroup AUC estimates similar or MRI. Conclusion Radiomics promising noninvasive method has high status. based MRI had comparable predictive HCC. Prospective, large-scale multicenter methods will improve power future. Systematic Review Registration https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=259363 , identifier CRD42021259363.

Язык: Английский

Процитировано

28