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Cerina V, Rui CB, Di Cristofori A, Ferlito D, Carrabba G, Giussani C, Basso G, De Bernardi E. Implication of tumor morphology and MRI characteristics on the accuracy of automated versus human segmentation of GBM areas. Sci Rep 2025; 15:2160. [PMID: 39820086 PMCID: PMC11739379 DOI: 10.1038/s41598-025-85400-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2024] [Accepted: 01/02/2025] [Indexed: 01/19/2025] Open
Abstract
An assessment scheme is proposed to evaluate GBM gross tumor core and T2-FLAIR hyper-intensity segmentations on preoperative multicentric MR images as a function of tumor morphology and MRI characteristics. 74 gross tumor core and T2-FLAIR hyper-intensity BraTS-Toolkit and DeepBraTumIA automatic segmentations, and 42 gross tumor core neurosurgeon manual segmentations were accordingly evaluated. Brats-Toolkit and DeepBraTumIA generally provide accurate segmentations, particularly for the most common round-shaped or well-demarked tumors, where: (1) gross tumor segmentation correctly includes necrosis and contrast enhanced tumor in 100% and 97.06% of cases (vs. 73.68% for manual segmentation) and wrongly includes healthy or non-tumor related tissues in 2.94% and 20.59% of cases (vs. 10.53% for manual segmentations); (2) T2-FLAIR hyper-intensity segmentations completely includes edema in 88.24% of cases for both software. MR image quality has little impact on the segmentation performance on these tumors. Conversely, on less common tumors with more complex tissue distribution and infiltrative behavior, manual segmentation works better than BraTS-Toolkit and DeepBraTumIA, and image quality has a larger impact on automatic segmentation performance. BraTS-Toolkit and DeepBraTumIA gross tumor segmentation properly includes necrosis and contrast enhanced areas in 50% and 37.50% of cases (vs. 66.67% for manual segmentation), all corresponding to higher image quality; T2-FLAIR hyper-intensity segmentation wrongly includes necrosis and contrast enhanced areas in 37.50% and 50% of cases.
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Affiliation(s)
- Valeria Cerina
- PhD program in Neuroscience, School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
| | - Chiara Benedetta Rui
- Neurosurgery, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Andrea Di Cristofori
- PhD program in Neuroscience, School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
- Neurosurgery, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
- CENTRO STUDI DIPARTIMENTALE GBM-BI-TRACE (GlioBlastoMa-BIcocca-TRAnslational-CEnter), Milan, Italy
| | - Davide Ferlito
- Neurosurgery, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Giorgio Carrabba
- Neurosurgery, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
- CENTRO STUDI DIPARTIMENTALE GBM-BI-TRACE (GlioBlastoMa-BIcocca-TRAnslational-CEnter), Milan, Italy
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Carlo Giussani
- Neurosurgery, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
- CENTRO STUDI DIPARTIMENTALE GBM-BI-TRACE (GlioBlastoMa-BIcocca-TRAnslational-CEnter), Milan, Italy
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Gianpaolo Basso
- CENTRO STUDI DIPARTIMENTALE GBM-BI-TRACE (GlioBlastoMa-BIcocca-TRAnslational-CEnter), Milan, Italy
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
- Neuroradiology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
- Bicocca Bioinformatics Biostatistics and Bioimaging B4 Center, School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Elisabetta De Bernardi
- CENTRO STUDI DIPARTIMENTALE GBM-BI-TRACE (GlioBlastoMa-BIcocca-TRAnslational-CEnter), Milan, Italy
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
- Bicocca Bioinformatics Biostatistics and Bioimaging B4 Center, School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
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Dixon L, Lim A, Grech-Sollars M, Nandi D, Camp S. Intraoperative ultrasound in brain tumor surgery: A review and implementation guide. Neurosurg Rev 2022; 45:2503-2515. [PMID: 35353266 PMCID: PMC9349149 DOI: 10.1007/s10143-022-01778-4] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 03/24/2022] [Accepted: 03/24/2022] [Indexed: 11/07/2022]
Abstract
Accurate and reliable intraoperative neuronavigation is crucial for achieving maximal safe resection of brain tumors. Intraoperative MRI (iMRI) has received significant attention as the next step in improving navigation. However, the immense cost and logistical challenge of iMRI precludes implementation in most centers worldwide. In comparison, intraoperative ultrasound (ioUS) is an affordable tool, easily incorporated into existing theatre infrastructure, and operative workflow. Historically, ultrasound has been perceived as difficult to learn and standardize, with poor, artifact-prone image quality. However, ioUS has dramatically evolved over the last decade, with vast improvements in image quality and well-integrated navigation tools. Advanced techniques, such as contrast-enhanced ultrasound (CEUS), have also matured and moved from the research field into actual clinical use. In this review, we provide a comprehensive and pragmatic guide to ioUS. A suggested protocol to facilitate learning ioUS and improve standardization is provided, and an outline of common artifacts and methods to minimize them given. The review also includes an update of advanced techniques and how they can be incorporated into clinical practice.
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Keleş A, Türe U. Cottonoid-guided intraoperative ultrasonography in neurosurgery: a proof-of-concept single surgeon case series. Neurosurg Rev 2022; 45:2289-2303. [PMID: 35112223 DOI: 10.1007/s10143-021-01727-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 12/07/2021] [Accepted: 12/25/2021] [Indexed: 11/30/2022]
Abstract
Ultrasonography was introduced into neurosurgery in the 1950s, but its successful utilization as an intraoperative tool dates from the early 1980s. However, it was not used widely because of limited technology, a lack of specific training, and, most importantly, the concurrent evolution of computerized tomography and magnetic resonance imaging. The intraoperative use of cottonoid patties as acoustical markers was first described in 1984, but the practice did not gain acceptance, and no articles have been published since. Herein, we reconsider the echogenic properties of the surgical cottonoid patty and demonstrate its usefulness with intraoperative ultrasonography (ioUS) in neurosurgical practice as a truly real-time neuronavigation tool. We also discuss its advantages and compare it with other intraoperative image guidance tools. The echogenic properties of the handmade cottonoid patties in various sizes used with ioUS are described. Details of our cottonoid-guided ioUS technique and its advantages with illustrated cases are also described. As an echogenic marker, cottonoid patties can be easily recognized with ioUS. Their usage with ultrasonography provides truly real-time anatomical orientation throughout the surgery, allowing easy access to intraparenchymal pathologies, and precise and safer resection. Cottonoid-guided ioUS helps not only to localize intraparenchymal pathologies but also to delineate the exact surgical trajectory for each type of lesion. Furthermore, it is not affected by brain shift and distortion. Thus, it is a truly real-time, dynamic, cost-effective, and easy-to-use image guidance tool. This technique can be used safely for every intraparenchymal pathology and increases the accuracy and safety of the surgeries.
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Affiliation(s)
- Abdullah Keleş
- Department of Neurosurgery, Yeditepe University School of Medicine, Istanbul, Turkey
| | - Uğur Türe
- Department of Neurosurgery, Yeditepe University School of Medicine, Istanbul, Turkey.
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Prada F, Vetrano IG, Gennari AG, Mauri G, Martegani A, Solbiati L, Sconfienza LM, Quaia E, Kearns KN, Kalani MYS, Park MS, DiMeco F, Dietrich C. How to Perform Intra-Operative Contrast-Enhanced Ultrasound of the Brain-A WFUMB Position Paper. ULTRASOUND IN MEDICINE & BIOLOGY 2021; 47:2006-2016. [PMID: 34045096 DOI: 10.1016/j.ultrasmedbio.2021.04.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 04/11/2021] [Accepted: 04/14/2021] [Indexed: 06/12/2023]
Abstract
Intra-operative ultrasound has become a relevant imaging modality in neurosurgical procedures. While B-mode, with its intrinsic limitations, is still considered the primary ultrasound modality, intra-operative contrast-enhanced ultrasound (ioCEUS) has more recently emerged as a powerful tool in neurosurgery. Though still not used on a large scale, ioCEUS has proven its utility in defining tumor boundaries, identifying lesion vascular supply and mapping neurovascular architecture. Here we propose a step-by-step procedure for performing ioCEUS analysis of the brain, highlighting its neurosurgical applications. Moreover, we provide practical advice on the use of ultrasound contrast agents and review technical ultrasound parameters influencing ioCEUS imaging.
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Affiliation(s)
- Francesco Prada
- Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; Department of Neurological Surgery, University of Virginia Health Science Center, Charlottesville, VA, USA; Focused Ultrasound Foundation, Charlottesville, VA, USA.
| | - Ignazio G Vetrano
- Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Antonio G Gennari
- Department of Neuropediatrics, MR Research Center, University Children's Hospital, Zurich, Switzerland
| | - Giovanni Mauri
- Division of Interventional Radiology, European Institute of Oncology IRCCS, Milan, Italy
| | | | - Luigi Solbiati
- Division of Radiology, Humanitas Research Hospital, Rozzano, Italy
| | | | - Emilio Quaia
- Radiology Institute, Department of Medicine-DIMED, University of Padova, Padova, Italy
| | - Kathryn N Kearns
- Department of Neurological Surgery, University of Virginia Health Science Center, Charlottesville, VA, USA
| | - M Yashar S Kalani
- University of Oklahoma School of Medicine, St. John's Neuroscience Institute, Tulsa, OK, USA
| | - Min S Park
- Department of Neurological Surgery, University of Virginia Health Science Center, Charlottesville, VA, USA
| | - Francesco DiMeco
- Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Neurological Surgery, Johns Hopkins Medical School, Baltimore, MD, USA
| | - Christoph Dietrich
- Department of Internal Medicine, Caritas Krankenhaus Bad Mergentheim, Bern, Switzerland
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Contrast enhanced ultrasound (CEUS) applications in neurosurgical and neurological settings – New scenarios for brain and spinal cord ultrasonography. A systematic review. Clin Neurol Neurosurg 2020; 198:106105. [DOI: 10.1016/j.clineuro.2020.106105] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 07/19/2020] [Accepted: 07/21/2020] [Indexed: 12/14/2022]
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Radiation-Induced Brain Aneurysms: Institutional Experience and State of the Art in the Contemporary Literature. World Neurosurg 2019; 135:339-351. [PMID: 31605840 DOI: 10.1016/j.wneu.2019.09.157] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Revised: 09/27/2019] [Accepted: 09/28/2019] [Indexed: 11/20/2022]
Abstract
BACKGROUND Brain aneurysms (BAs) are the most common intracranial vascular condition, with an overall incidence of 1%-2%. Among the common causes of their initial formation and growth, the role of radiation therapy (RT) has been reported in some studies. The aim of the present study is to report the most relevant features of BA related to a previous cranial RT. METHODS Data deriving from 1 patient treated for RT-induced BA in our institution were added to reports of another 66 BAs retrieved from the literature. The following parameters were evaluated: age, sex, location, primary lesion, clinical presentation, dosage/amount of radiation delivered, type of treatment for the BA, dimension, morphology, chemotherapy, comorbidities, risk factors, and number of BAs. RESULTS The most commonly involved vessel was the internal carotid artery (34%). In general, the anterior circulation showed higher vulnerability compared with the posterior circulation and middle cerebral artery (56.7%). The average latency between RT and the first imaging showing the BA was 9.01 ± 6.85 years. Vessels coursing in the posterior cranial fossa showed a significant univariate association with lower X-ray dosages (P = 0.014) compared with the other locations. No statistically significant correlation between the continuous variables age, latency of BA appearance, RT delivered dose, and dimension of the BA was shown. CONCLUSIONS The apparent higher fragility of the vascular structures of the posterior cranial fossa was statistically outlined, and the X-ray dosage, the primary condition target of the RT, the age of the patients, and no statistically significant correlation were outlined. Biological factors could play a significant role.
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Comment on the article "Real-time intraoperative contrast-enhanced ultrasound (CEUS) in vascularized spinal tumors: a technical note". Acta Neurochir (Wien) 2018; 160:1873-1874. [PMID: 30046876 DOI: 10.1007/s00701-018-3628-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2018] [Accepted: 07/17/2018] [Indexed: 12/17/2022]
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