Abstract
Gliomas are the most common primary brain tumors, and the objective grading is of great importance for treatment. This paper presents an automatic computer-aided diagnosis of gliomas that combines automatic segmentation and radiomics, which can improve the diagnostic ability. The MRI data containing 220 high-grade gliomas and 54 low-grade gliomas are used to evaluate our system. A multiscale 3D convolutional neural network is trained to segment whole tumor regions. A wide range of radiomic features including first-order features, shape features, and texture features is extracted. By using support vector machines with recursive feature elimination for feature selection, a CAD system that has an extreme gradient boosting classifier with a 5-fold cross-validation is constructed for the grading of gliomas. Our CAD system is highly effective for the grading of gliomas with an accuracy of 91.27%, a weighted macroprecision of 91.27%, a weighted macrorecall of 91.27%, and a weighted macro-F1 score of 90.64%. This demonstrates that the proposed CAD system can assist radiologists for high accurate grading of gliomas and has the potential for clinical applications.
References
Apr 28, 2000·IEEE Transactions on Medical Imaging·L G NyúlX Zhang
May 5, 2005·British Journal of Cancer·M O LeachUNKNOWN Pharmacodynamic/Pharmacokinetic Technologies Advisory Committee, Drug Development Office, Cancer Research UK
Mar 26, 2008·Proceedings of the National Academy of Sciences of the United States of America·Maximilian DiehnMichael D Kuo
Feb 4, 2009·Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology·Martin GlasUlrich Herrlinger
Oct 28, 2009·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Evangelia I ZacharakiChristos Davatzikos
Apr 10, 2010·IEEE Transactions on Medical Imaging·Nicholas J TustisonJames C Gee
Apr 17, 2010·AJNR. American Journal of Neuroradiology·A Kassner, R E Thornhill
Jan 20, 2012·European Journal of Cancer : Official Journal for European Organization for Research and Treatment of Cancer (EORTC) [and] European Association for Cancer Research (EACR)·Philippe LambinHugo J W L Aerts
Jan 15, 2014·Frontiers in Neuroinformatics·Bradley C LowekampDaniel Blezek
Jun 4, 2014·Nature Communications·Hugo J W L AertsPhilippe Lambin
Dec 11, 2014·IEEE Transactions on Medical Imaging·Bjoern H MenzeKoen Van Leemput
Apr 9, 2015·Neurosurgery·Rohan RamakrishnaDaniel Silbergeld
Aug 13, 2015·BMC Medical Imaging·Abdel Aziz Taha, Allan Hanbury
May 10, 2016·Acta Neuropathologica·David N LouisDavid W Ellison
Nov 20, 2016·Medical Image Analysis·Konstantinos KamnitsasBen Glocker
Jan 6, 2017·CA: a Cancer Journal for Clinicians·Rebecca L SiegelAhmedin Jemal
Feb 12, 2017·Computer Methods and Programs in Biomedicine·Kevin Li-Chun HsiehChih-Jou Hsiao
Sep 6, 2017·Scientific Reports·Jiangwei LaoGuangtao Zhai
Nov 3, 2017·Cancer Research·Joost J M van GriethuysenHugo J W L Aerts
Citations
Apr 12, 2020·Medical Physics·Ying ZhugeRobert W Miller
May 23, 2020·Journal of Digital Imaging·Hiba MzoughiKharedine Ben Mahfoudhe
Jan 15, 2020·Journal of Healthcare Engineering·Xi ChenYusong Lin
Feb 2, 2020·European Radiology·Fei DongMinming Zhang
Jun 12, 2020·Korean Journal of Radiology : Official Journal of the Korean Radiological Society·Seung Hak LeeEun Sook Ko
Jun 20, 2019·European Journal of Nuclear Medicine and Molecular Imaging·Martina SolliniMargarita Kirienko
Dec 21, 2019·Scientific Reports·Takahiro NakamotoKeiichi Nakagawa
Jul 25, 2020·Scientific Reports·Alexandre CarréCharlotte Robert
Feb 2, 2021·Frontiers in Oncology·Fengchang YangYen-Wei Chen
Feb 27, 2021·Frontiers in Oncology·Su HuangJian Yang
Apr 13, 2021·Radiology. Artificial Intelligence·Katharina V HoebelJayashree Kalpathy-Cramer
Jan 31, 2021·BMJ Open·Emilia GryskaRolf A Heckemann
May 27, 2021·Scientific Reports·Kazuma KobayashiRyuji Hamamoto
Aug 17, 2021·Frontiers in Oncology·Guangwen ZhangJinsong Zhang
Jun 6, 2021·Medical Physics·Hao ChenQing Yang
Jun 9, 2021·Medical Physics·Hao ChenQing Yang
Oct 12, 2021·Physics in Medicine and Biology·Jing YangTianye Niu