<?xml version="1.0" encoding="UTF-8" standalone="yes"?> <!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2d1 20170631//EN" "JATS-journalpublishing1.dtd"> <article xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="neurology" lang="en"> <front> <journal-meta> <journal-id journal-id-type="publisher">JOHS</journal-id> <journal-id journal-id-type="nlm-ta">Journ of Health Scien</journal-id> <journal-title-group> <journal-title>Journal of HealthCare Sciences</journal-title> <abbrev-journal-title abbrev-type="pubmed">Journ of Health Scien</abbrev-journal-title> </journal-title-group> <issn pub-type="ppub">2231-2196</issn> <issn pub-type="opub">0975-5241</issn> <publisher> <publisher-name>Radiance Research Academy</publisher-name> </publisher> </journal-meta> <article-meta> <article-id pub-id-type="publisher-id">309</article-id> <article-id pub-id-type="doi">http://dx.doi.org/10.52533/JOHS.2024.41012</article-id> <article-id pub-id-type="doi-url"/> <article-categories> <subj-group subj-group-type="heading"> <subject>Neurology</subject> </subj-group> </article-categories> <title-group> <article-title>Neuroimaging Techniques in the Early Detection of Brain Tumors </article-title> </title-group> <contrib-group> <contrib contrib-type="author"> <name> <surname>Ali</surname> <given-names>Bayan Mamdouh</given-names> </name> </contrib> <contrib contrib-type="author"> <name> <surname>Alfallj</surname> <given-names>Talal Hamid</given-names> </name> </contrib> <contrib contrib-type="author"> <name> <surname>Alqathaniyyin</surname> <given-names>Muhannad Mastour</given-names> </name> </contrib> <contrib contrib-type="author"> <name> <surname>Ashoor</surname> <given-names>Mohammed Muwaffaq</given-names> </name> </contrib> <contrib contrib-type="author"> <name> <surname>Alqurashi</surname> <given-names>Razan Mohammad</given-names> </name> </contrib> <contrib contrib-type="author"> <name> <surname>Alrashidi</surname> <given-names>Abdullah Qublan</given-names> </name> </contrib> <contrib contrib-type="author"> <name> <surname>Futayni</surname> <given-names>Tahreer Yahya</given-names> </name> </contrib> <contrib contrib-type="author"> <name> <surname>Alhussain</surname> <given-names>Rana Mohammed</given-names> </name> </contrib> <contrib contrib-type="author"> <name> <surname>Alzhrani</surname> <given-names>Abdulah Shathan</given-names> </name> </contrib> <contrib contrib-type="author"> <name> <surname>Alobidi</surname> <given-names>Raged Abdullah</given-names> </name> </contrib> </contrib-group> <pub-date pub-type="ppub"> <day>28</day> <month>10</month> <year>2024</year> </pub-date> <volume>4</volume> <issue>10</issue> <fpage>521</fpage> <lpage>527</lpage> <permissions> <copyright-statement>This article is copyright of Popeye Publishing, 2009</copyright-statement> <copyright-year>2009</copyright-year> <license license-type="open-access" href="http://creativecommons.org/licenses/by/4.0/"> <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.</license-p> </license> </permissions> <abstract> <p>This review examines the neuroimaging techniques essential for the early detection and management of brain tumors. The complexity and variability of brain tumors, whether benign or malignant, pose substantial diagnostic and treatment challenges. Accurate diagnosis heavily depends on imaging technologies such as magnetic resonance imaging (MRI), which offers detailed anatomical and functional information, and positron emission tomography (PET), which reveals metabolic processes. Additionally, emerging methods like functional magnetic resonance imaging (fMRI), single-photon emission computed tomography (SPECT), as well as advanced techniques such as diffuse optical imaging (DOI) and magnetoencephalography (MEG) are increasingly utilized to enhance detection capabilities. Despite the advancements, challenges remain in integrating these technologies for comprehensive tumor analysis. Future research directions should focus on refining multimodal imaging approaches, enhancing automated analysis with machine learning, and minimizing radiation exposure. Improved diagnostic precision and efficiency are essential for effective tumor management and treatment planning. This review highlights the need for ongoing advancements in imaging techniques and technology integration to improve early brain tumor detection and patient outcomes. </p> </abstract> <kwd-group> <kwd>brain tumors</kwd> <kwd> neuroimaging techniques</kwd> <kwd> MRI</kwd> <kwd> early detection</kwd> <kwd> automated analysis</kwd> </kwd-group> </article-meta> </front> </article>