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Cancers
Special Issues
Brain Tumor: Recent Advances and Challenges
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Brain Tumor: Recent Advances and Challenges

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Tumor Microenvironment".

Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 8350

Special Issue Editor

Dr. Hirotaka Hasegawa

E-Mail Website
Guest Editor
Faculty of Medicine University Hospital, Department of Neurosurgery, The University of Tokyo, Tokyo, Japan
Interests: neurosurgery; skull base surgery; endoscopic surgery; brain tumor

Special Issue Information

Dear Colleagues,

In recent years, we have observed enormous refinements in the field of brain tumors. Molecular-based diagnosis has been become a new standard for a variety of brain tumors. Progress in minimally invasive surgeries, typified by neuroendoscopic surgery, is now key for enhanced recovery and patient wellness. Targeted therapies and immune checkpoint inhibitors are shedding light on many challenging tumors. Various radiotherapeutic modalities have become available, fortifying multidisciplinary treatments. These revolutionary advancements have undoubtedly been driven by progress in the basic sciences. In this Special Issue, we welcome original articles and comprehensive reviews focusing on high-quality basic and clinical research on brain tumors, particularly those focusing on recent advances and challenges in this field.

Dr. Hirotaka Hasegawa
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • brain tumor
  • molecular-based diagnosis
  • minimally invasive surgeries
  • neuroendoscopic surgery
  • targeted therapies
  • immune checkpoint inhibitor
  • radiotherapeutic modalities
  • basic and clinical research

Published Papers (2 papers)

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Research

29 pages, 4688 KiB  
Article
Brain Tumor Detection Based on Deep Learning Approaches and Magnetic Resonance Imaging
by Akmalbek Bobomirzaevich Abdusalomov, Mukhriddin Mukhiddinov and Taeg Keun Whangbo
Cancers 2023, 15(16), 4172; https://doi.org/10.3390/cancers15164172 - 18 Aug 2023
Cited by 16 | Viewed by 4570
Abstract
The rapid development of abnormal brain cells that characterizes a brain tumor is a major health risk for adults since it can cause severe impairment of organ function and even death. These tumors come in a wide variety of sizes, textures, and locations. [...] Read more.
The rapid development of abnormal brain cells that characterizes a brain tumor is a major health risk for adults since it can cause severe impairment of organ function and even death. These tumors come in a wide variety of sizes, textures, and locations. When trying to locate cancerous tumors, magnetic resonance imaging (MRI) is a crucial tool. However, detecting brain tumors manually is a difficult and time-consuming activity that might lead to inaccuracies. In order to solve this, we provide a refined You Only Look Once version 7 (YOLOv7) model for the accurate detection of meningioma, glioma, and pituitary gland tumors within an improved detection of brain tumors system. The visual representation of the MRI scans is enhanced by the use of image enhancement methods that apply different filters to the original pictures. To further improve the training of our proposed model, we apply data augmentation techniques to the openly accessible brain tumor dataset. The curated data include a wide variety of cases, such as 2548 images of gliomas, 2658 images of pituitary, 2582 images of meningioma, and 2500 images of non-tumors. We included the Convolutional Block Attention Module (CBAM) attention mechanism into YOLOv7 to further enhance its feature extraction capabilities, allowing for better emphasis on salient regions linked with brain malignancies. To further improve the model’s sensitivity, we have added a Spatial Pyramid Pooling Fast+ (SPPF+) layer to the network’s core infrastructure. YOLOv7 now includes decoupled heads, which allow it to efficiently glean useful insights from a wide variety of data. In addition, a Bi-directional Feature Pyramid Network (BiFPN) is used to speed up multi-scale feature fusion and to better collect features associated with tumors. The outcomes verify the efficiency of our suggested method, which achieves a higher overall accuracy in tumor detection than previous state-of-the-art models. As a result, this framework has a lot of potential as a helpful decision-making tool for experts in the field of diagnosing brain tumors. Full article
(This article belongs to the Special Issue Brain Tumor: Recent Advances and Challenges)
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15 pages, 1784 KiB  
Article
Incidence and Mortality of Malignant Brain Tumors after 20 Years of Mobile Use
by Mohy Uddin, Rozy Dhanta, Thejkiran Pitti, Diana Barsasella, Jeremiah Scholl, Wen-Shan Jian, Yu-Chuan (Jack) Li, Min-Huei Hsu and Shabbir Syed-Abdul
Cancers 2023, 15(13), 3492; https://doi.org/10.3390/cancers15133492 - 04 Jul 2023
Viewed by 3338
Abstract
(1) Objective: This population-based study was performed to examine the trends of incidence and deaths due to malignant neoplasm of the brain (MNB) in association with mobile phone usage for a period of 20 years (January 2000–December 2019) in Taiwan. (2) Methods: Pearson [...] Read more.
(1) Objective: This population-based study was performed to examine the trends of incidence and deaths due to malignant neoplasm of the brain (MNB) in association with mobile phone usage for a period of 20 years (January 2000–December 2019) in Taiwan. (2) Methods: Pearson correlation, regression analysis, and joinpoint regression analysis were used to examine the trends of incidence of MNB and deaths due to MNB in association with mobile phone usage. (3) Results: The findings indicate a trend of increase in the number of mobile phone users over the study period, accompanied by a slight rise in the incidence and death rates of MNB. The compound annual growth rates further support these observations, highlighting consistent growth in mobile phone users and a corresponding increase in MNB incidences and deaths. (4) Conclusions: The results suggest a weaker association between the growing number of mobile phone users and the rising rates of MNB, and no significant correlation was observed between MNB incidences and deaths and mobile phone usage. Ultimately, it is important to acknowledge that conclusive results cannot be drawn at this stage and further investigation is required by considering various other confounding factors and potential risks to obtain more definitive findings and a clearer picture. Full article
(This article belongs to the Special Issue Brain Tumor: Recent Advances and Challenges)
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