☆ 4.7 Article

Predicting pathological highly invasive lung cancer from preoperative [18F]FDG PET/CT with multiple machine learning models

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Computer Science, Artificial Intelligence

Tabular data: Deep learning is not all you need

Ravid Shwartz-Ziv et al.

Summary: The study compares the performance of deep learning models and XGBoost on various datasets, finding that XGBoost outperforms deep models and requires less tuning. However, an ensemble of deep models and XGBoost performs better on these datasets than XGBoost alone.

INFORMATION FUSION (2022)

添加到收藏夹

Article Medicine, General & Internal

Segmentectomy versus lobectomy in small-sized peripheral non-small-cell lung cancer (JCOG0802/WJOG4607L): a multicentre, open-label, phase 3, randomised, controlled, non-inferiority trial

Hisashi Saji et al.

LANCET (2022)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

18F-FDG PET/CT and circulating tumor cells in treatment-naive patients with non-small-cell lung cancer

Fengxian Zhang et al.

Summary: This study retrospectively investigated the clinical utility of F-18-FDG PET/CT and CTCs in treatment-naive NSCLC patients. F-18-FDG PET/CT was superior to CTCs in diagnosis, while CTC levels were associated with tumor glucose metabolism and both F-18-FDG PET/CT and CTCs metabolic parameters could predict patient outcomes.

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2021)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Use of radiomics based on 18F-FDG PET/CT and machine learning methods to aid clinical decision-making in the classification of solitary pulmonary lesions: an innovative approach

Yi Zhou et al.

Summary: This study demonstrated the effectiveness of combining F-18-FDG PET/CT radiomics features with machine learning methods to differentiate between primary and metastatic lung lesions and classify histological subtypes. Gradient boosting decision tree (GBDT) and random forest (RF) were identified as the optimal classification methods for PET and CT datasets, respectively, with GBDT also considered the optimal feature selection method.

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2021)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Utility of Volumetric Metabolic Parameters on Preoperative FDG PET/CT for Predicting Tumor Lymphovascular Invasion in Non-Small Cell Lung Cancer

Chongjiao Li et al.

Summary: This study aimed to evaluate the utility of clinicopathologic factors and volumetric metabolic parameters from preoperative FDG PET/CT for predicting primary tumor LVI in NSCLC. The results showed that MN was an independent predictor of tumor LVI, which could potentially guide clinical decision making in NSCLC.

AMERICAN JOURNAL OF ROENTGENOLOGY (2021)

添加到收藏夹

Article Biochemical Research Methods

Identification of active molecules against Mycobacterium tuberculosis through machine learning

Qing Ye et al.

Summary: This study developed classification models using machine learning algorithms to distinguish Mtb inhibitors from noninhibitors, with the XGBoost model showing the best prediction performance. Two consensus strategies were employed to integrate predictions from multiple models, resulting in the best predictions. The association between important descriptors and bioactivities of molecules was interpreted, and an online tool called ChemTB was developed for detecting potential Mtb inhibitors.

BRIEFINGS IN BIOINFORMATICS (2021)

添加到收藏夹

Article Multidisciplinary Sciences

Radiomics is feasible for prediction of spread through air spaces in patients with nonsmall cell lung cancer

Yuki Onozato et al.

Summary: This study utilized radiomic features and machine learning to establish a predictive model for STAS, which might be helpful in selecting appropriate NSCLC patients for sublobar resection.

SCIENTIFIC REPORTS (2021)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Value of pre-therapy 18F-FDG PET/CT radiomics in predicting EGFR mutation status in patients with non-small cell lung cancer

Jianyuan Zhang et al.

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2020)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Preoperative CT-based Deep Learning Model for Predicting Disease-Free Survival in Patients with Lung Adenocarcinomas

Hyungjin Kim et al.

RADIOLOGY (2020)

添加到收藏夹

Article Biology

Stereotactic body radiotherapy in patients with lung tumors composed of mainly ground-glass opacity

Hiroshi Onishi et al.

JOURNAL OF RADIATION RESEARCH (2020)

添加到收藏夹

Article Oncology

Baseline metabolic tumor volume as a strong predictive and prognostic biomarker in patients with non-small cell lung cancer treated with PD1 inhibitors: a prospective study

David Chardin et al.

JOURNAL FOR IMMUNOTHERAPY OF CANCER (2020)

添加到收藏夹

Review Radiology, Nuclear Medicine & Medical Imaging

AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics

Isabella Castiglioni et al.

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2019)

添加到收藏夹

Review Health Care Sciences & Services

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

Evangelia Christodoulou et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2019)

添加到收藏夹

Article Oncology

Outcomes for Surgery in Large Cell Lung Neuroendocrine Cancer

Vignesh Raman et al.

JOURNAL OF THORACIC ONCOLOGY (2019)

添加到收藏夹

Article Oncology

Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2017 A Systematic Analysis for the Global Burden of Disease Study

Christina Fitzmaurice et al.

JAMA ONCOLOGY (2019)

添加到收藏夹

Article Biochemical Research Methods

Evaluation of variable selection methods for random forests and omics data sets

Frauke Degenhardt et al.

BRIEFINGS IN BIOINFORMATICS (2019)

添加到收藏夹

Review Oncology

Radiomics in Nuclear Medicine Applied to Radiation Therapy: Methods, Pitfalls, and Challenges

Sylvain Reuze et al.

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2018)

添加到收藏夹

Article Oncology

Prognostic Impact of Margin Distance and Tumor Spread Through Air Spaces in Limited Resection for Primary Lung Cancer

Kyohei Masai et al.

JOURNAL OF THORACIC ONCOLOGY (2017)

添加到收藏夹

Article Oncology

Clinical and Pathological Staging Validation in the Eighth Edition of the TNM Classification for Lung Cancer: Correlation between Solid Size on Thin-Section Computed Tomography and Invasive Size in Pathological Findings in the New T Classification

Keiju Aokage et al.

JOURNAL OF THORACIC ONCOLOGY (2017)

添加到收藏夹

Meeting Abstract Oncology

A nonrandomized confirmatory phase III study of sublobar surgical resection for peripheral ground glass opacity dominant lung cancer defined with thoracic thin-section computed tomography (JCOG0804/WJOG4507L).

Kenji Suzuki et al.

JOURNAL OF CLINICAL ONCOLOGY (2017)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Micropapillary histological subtype in lung adenocarcinoma of 2 cm or less: impact on recurrence and clinical predictors

Yukihiro Yoshida et al.

GENERAL THORACIC AND CARDIOVASCULAR SURGERY (2017)

添加到收藏夹

Article Oncology

The IASLC Lung Cancer Staging Project: Proposals for Revision of the TNM Stage Groupings in the Forthcoming (Eighth) Edition of the TNM Classification for Lung Cancer

Peter Goldstraw et al.

JOURNAL OF THORACIC ONCOLOGY (2016)

添加到收藏夹

Article Oncology

Relationship between the consolidation to maximum tumor diameter ratio and outcomes following stereotactic body radiotherapy for stage I non-small-cell lung cancer

Yuichiro Tsurugai et al.

LUNG CANCER (2016)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Semiautomated segmentation of head and neck cancers in 18F-FDG PET scans: A just-enough-interaction approach

Reinhard R. Beichel et al.

MEDICAL PHYSICS (2016)

添加到收藏夹

Article Multidisciplinary Sciences

The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis

Ralph T. H. Leijenaar et al.

SCIENTIFIC REPORTS (2015)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Relationship between margin distance and local recurrence among patients undergoing wedge resection for small (≤2 cm) non-small cell lung cancer

Kamran Mohiuddin et al.

JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY (2014)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Risk factor analysis of locoregional recurrence after sublobar resection in patients with clinical stage IA non-small cell lung cancer

Terumoto Koike et al.

JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY (2013)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Prognostic Predictors in Non-Small Cell Lung Cancer Patients Undergoing Intentional Segmentectomy

Terumoto Koike et al.

ANNALS OF THORACIC SURGERY (2012)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Surgical Resection Should Be Considered for Stage I and II Small Cell Carcinoma of the Lung

Benny Weksler et al.

ANNALS OF THORACIC SURGERY (2012)

添加到收藏夹

Article Oncology

A Prospective Radiological Study of Thin-Section Computed Tomography to Predict Pathological Noninvasiveness in Peripheral Clinical IA Lung Cancer (Japan Clinical Oncology Group 0201)

Kenji Suzuki et al.

JOURNAL OF THORACIC ONCOLOGY (2011)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Feature Selection with the Boruta Package

Miron B. Kursa et al.

JOURNAL OF STATISTICAL SOFTWARE (2010)

添加到收藏夹

Article Pathology

Small cluster invasion: a possible link between micropapillary pattern and lymph node metastasis in pT1 lung adenocarcinomas

Takehito Kawakami et al.

VIRCHOWS ARCHIV (2009)

添加到收藏夹

Article Health Care Sciences & Services

Decision curve analysis: A novel method for evaluating prediction models

Andrew J. Vickers et al.

MEDICAL DECISION MAKING (2006)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Optimal distance of malignant negative margin in excision of nonsmall cell lung cancer: A multicenter prospective study

N Sawabata et al.

ANNALS OF THORACIC SURGERY (2004)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.