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Volume 13
Issue 7
10.3390/life13071561
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Review

One Step Forward—The Current Role of Artificial Intelligence in Glioblastoma Imaging

by
Costin Chirica
1,
Danisia Haba
2,*,
Elena Cojocaru
3,
Andreea Isabela Mazga
4,
Lucian Eva
5,
Bogdan Ionut Dobrovat
6,
Sabina Ioana Chirica
7,
Ioana Stirban
8,
Andreea Rotundu
1 and
Maria Magdalena Leon
1
1
Doctoral School, Grigore T. Popa University of Medicine and Pharmacy, 16 Universitatii Str., 700115 Iasi, Romania
2
Department of Oral and Maxillofacial Surgery, Faculty of Dental Medicine, Grigore T. Popa University of Medicine and Pharmacy, 16 Universitatii Str., 700115 Iasi, Romania
3
Department of Morphofunctional Sciences I, Grigore T. Popa University of Medicine and Pharmacy, 700115 Iasi, Romania
4
Faculty of General Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
5
Department of Anatomy, Apollonia University, 11 Pacurari Str., 700535 Iasi, Romania
6
Department of Radiology, Emergency Hospital Professor Doctor Nicolae Oblu, 700309 Iasi, Romania
7
Faculty of General Medicine, Grigore T. Popa University of Medicine and Pharmacy, 700115 Iasi, Romania
8
Department of Neurosurgery, Emergency Hospital Professor Doctor Nicolae Oblu, 700309 Iasi, Romania
*
Author to whom correspondence should be addressed.
Life 2023, 13(7), 1561; https://doi.org/10.3390/life13071561
Submission received: 12 June 2023 / Revised: 7 July 2023 / Accepted: 11 July 2023 / Published: 14 July 2023
(This article belongs to the Special Issue Artificial Intelligence Applications in Medical Imaging)
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Abstract

Artificial intelligence (AI) is rapidly integrating into diagnostic methods across many branches of medicine. Significant progress has been made in tumor assessment using AI algorithms, and research is underway on how image manipulation can provide information with diagnostic, prognostic and treatment impacts. Glioblastoma (GB) remains the most common primary malignant brain tumor, with a median survival of 15 months. This paper presents literature data on GB imaging and the contribution of AI to the characterization and tracking of GB, as well as recurrence. Furthermore, from an imaging point of view, the differential diagnosis of these tumors can be problematic. How can an AI algorithm help with differential diagnosis? The integration of clinical, radiomics and molecular markers via AI holds great potential as a tool for enhancing patient outcomes by distinguishing brain tumors from mimicking lesions, classifying and grading tumors, and evaluating them before and after treatment. Additionally, AI can aid in differentiating between tumor recurrence and post-treatment alterations, which can be challenging with conventional imaging methods. Overall, the integration of AI into GB imaging has the potential to significantly improve patient outcomes by enabling more accurate diagnosis, precise treatment planning and better monitoring of treatment response.
Keywords: glioblastoma; brain imaging; artificial intelligence; machine learning; radiomics; deep learning; magnetic resonance imaging glioblastoma; brain imaging; artificial intelligence; machine learning; radiomics; deep learning; magnetic resonance imaging

Share and Cite

MDPI and ACS Style

Chirica, C.; Haba, D.; Cojocaru, E.; Mazga, A.I.; Eva, L.; Dobrovat, B.I.; Chirica, S.I.; Stirban, I.; Rotundu, A.; Leon, M.M. One Step Forward—The Current Role of Artificial Intelligence in Glioblastoma Imaging. Life 2023, 13, 1561. https://doi.org/10.3390/life13071561

AMA Style

Chirica C, Haba D, Cojocaru E, Mazga AI, Eva L, Dobrovat BI, Chirica SI, Stirban I, Rotundu A, Leon MM. One Step Forward—The Current Role of Artificial Intelligence in Glioblastoma Imaging. Life. 2023; 13(7):1561. https://doi.org/10.3390/life13071561

Chicago/Turabian Style

Chirica, Costin, Danisia Haba, Elena Cojocaru, Andreea Isabela Mazga, Lucian Eva, Bogdan Ionut Dobrovat, Sabina Ioana Chirica, Ioana Stirban, Andreea Rotundu, and Maria Magdalena Leon. 2023. "One Step Forward—The Current Role of Artificial Intelligence in Glioblastoma Imaging" Life 13, no. 7: 1561. https://doi.org/10.3390/life13071561

APA Style

Chirica, C., Haba, D., Cojocaru, E., Mazga, A. I., Eva, L., Dobrovat, B. I., Chirica, S. I., Stirban, I., Rotundu, A., & Leon, M. M. (2023). One Step Forward—The Current Role of Artificial Intelligence in Glioblastoma Imaging. Life, 13(7), 1561. https://doi.org/10.3390/life13071561

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