Marco Conti Nibali

ORCID: 0000-0003-2611-5685
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Research Areas
  • Glioma Diagnosis and Treatment
  • Radiomics and Machine Learning in Medical Imaging
  • Meningioma and schwannoma management
  • Brain Metastases and Treatment
  • Advanced Neuroimaging Techniques and Applications
  • Transcranial Magnetic Stimulation Studies
  • Brain Tumor Detection and Classification
  • Medical Imaging Techniques and Applications
  • Vascular Malformations Diagnosis and Treatment
  • Medical Imaging and Analysis
  • Spine and Intervertebral Disc Pathology
  • Management of metastatic bone disease
  • Intraoperative Neuromonitoring and Anesthetic Effects
  • Epilepsy research and treatment
  • Advanced MRI Techniques and Applications
  • Pharmacological Effects and Toxicity Studies
  • Functional Brain Connectivity Studies
  • Cancer Genomics and Diagnostics
  • Cancer survivorship and care
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Mathematical Biology Tumor Growth
  • Cancer-related cognitive impairment studies
  • Spinal Fractures and Fixation Techniques
  • Intracranial Aneurysms: Treatment and Complications
  • Cancer Immunotherapy and Biomarkers

Istituto Clinico Sant'Ambrogio
2023-2025

University of Milan
2016-2024

Istituti di Ricovero e Cura a Carattere Scientifico
2018-2023

IRCCS Humanitas Research Hospital
2018-2023

Istituto Ortopedico Galeazzi
2020-2023

Humanitas University
2018-2021

European School of Oncology
2020

Abstract Background Supratotal resection is advocated in lower-grade gliomas (LGGs) based on theoretical advantages but with limited verification of functional risk and data oncological outcomes. We assessed the association supratotal molecularly defined LGGs Methods Included were 460 presumptive LGGs; 404 resected; 347 LGGs, 319 isocitrate dehydrogenase (IDH)–mutated, 28 wildtype. All patients had clinical, imaging, molecular data. Resection aimed at without any patient or tumor a priori...

10.1093/neuonc/noaa225 article EN Neuro-Oncology 2020-10-08

Identifying tumor cells infiltrating normal-appearing brain tissue is critical to achieve a total glioma resection. Raman spectroscopy (RS) an optical technique with potential for real-time detection. Most RS reports are based on formalin-fixed or frozen samples, only few studies deployed fresh untreated tissue. We aimed probe biopsies exploring novel bands useful in distinguishing and normal Sixty-three were analyzed within minutes after A of 3450 spectra collected, 1377 labelled as Healthy...

10.3390/cancers13051073 article EN Cancers 2021-03-03

OBJECTIVE The goal of surgery for gliomas is maximal tumor removal while preserving the patient’s full functional integrity. At present during frontal removal, this mostly achieved, although risk impairing executive functions (EFs), and thus quality life, remains significant. authors investigated accuracy an intraoperative version Stroop task (iST), adapted mapping, to detect EF-related brain sites by evaluating impact iST mapping on integrity following a resection. METHODS Forty-five...

10.3171/2018.4.jns18393 article EN Journal of neurosurgery 2018-09-28

A key aspect of cognitive control is the management conflicting incoming information to achieve a goal, termed 'interference control'. Although role right frontal lobe in interference evident, white matter tracts subserving this process remain unclear. To investigate this, we studied effect transient network disruption (by means direct electrical stimulation) and permanent disconnection (resulting from neurosurgical resection) on processes, using Stroop test intraoperative extraoperative...

10.1093/brain/awz178 article EN cc-by-nc Brain 2019-01-01

Surgery for low-grade gliomas (LGGs) aims to achieve maximal tumor removal and maintenance of patients' functional integrity. Because extent resection is one the factors affecting natural history LGGs, surgery could be extended further than total toward a supratotal resection, beyond borders detectable on FLAIR imaging. Supratotal highly debated, mainly due lack evidence its feasibility safety. The authors explored intraoperative short- long-term impact integrity in large cohort patients....

10.3171/2019.2.jns183408 article EN Journal of neurosurgery 2019-05-17

Brain mapping techniques allow one to effectively approach tumors involving the primary motor cortex (M1). Tumor resectability and maintenance of patient integrity depend on ability successfully identify tracts during resection by choosing most appropriate neurophysiological paradigm for mapping. Mapping with a high-frequency (HF) stimulation technique has emerged as efficient tool because its versatility in different clinical settings. At present, few data are available use HF removal...

10.3171/2019.5.jns19453 article EN Journal of neurosurgery 2019-08-17

Isocitrate dehydrogenase (IDH) mutational status is pivotal in the management of gliomas. Patients with IDH-mutated (IDH-MUT) tumors have a better prognosis and benefit more from extended surgical resection than IDH wild-type (IDH-WT). Raman spectroscopy (RS) minimally invasive optical technique great potential for intraoperative diagnosis. We evaluated RS’s ability to characterize onto unprocessed glioma biopsies. extracted 2073 spectra thirty-eight samples. The classification performance...

10.3390/cancers13164196 article EN Cancers 2021-08-20

At present, it is not clear whether Mood Disorders (MD) and poor Health Related Quality of Life (HRQoL) in the glioma population correlate with features tumor, or rather secondary symptoms associated treatment. The aim this study was to assess prevalence MD decline HRQoL patients, determine main factors these two variables.80 patients affected by lower-grade gliomas (LGGs) 65 high-grade (HGGs) were evaluated, from admission up 12 months after surgery, for MD, HRQoL, clinical characteristics,...

10.3389/fonc.2021.662039 article EN cc-by Frontiers in Oncology 2021-05-20

For patients suffering from brain tumor, prognosis estimation and treatment decisions are made by a multidisciplinary team based on set of preoperative MR scans. Currently, the lack standardized automatic methods for tumor detection generation clinical reports, incorporating wide range characteristics, represents major hurdle. In this study, we investigate most occurring types: glioblastomas, lower grade gliomas, meningiomas, metastases, through four cohorts up to 4,000 patients. Tumor...

10.3389/fneur.2022.932219 article EN cc-by Frontiers in Neurology 2022-07-27

This study tests the generalisability of three Brain Tumor Segmentation (BraTS) challenge models using a multi-center dataset varying image quality and incomplete MRI datasets. In this retrospective study, DeepMedic, no-new-Unet (nn-Unet), NVIDIA-net (nv-Net) were trained tested manual segmentations from preoperative glioblastoma (GBM) low-grade gliomas (LGG) BraTS 2021 (1251 in total), addition to 275 GBM 205 LGG acquired clinically across 12 hospitals worldwide. Data was split into 80%...

10.1038/s41598-023-44794-0 article EN cc-by Scientific Reports 2023-11-02

OBJECTIVE Resection of glioma in the nondominant hemisphere involving motor areas and pathways requires use brain-mapping techniques to spare essential sites subserving control. No clear indications are available for performing mapping under either awake or asleep conditions best paradigm (e.g., resting active, high-frequency [HF] low-frequency [LF] stimulation) that provides oncological functional outcomes when tailored clinical context. This work aimed identify imaging factors influence...

10.3171/2020.11.jns202715 article EN Journal of neurosurgery 2021-08-20

Extent of resection after surgery is one the main prognostic factors for patients diagnosed with glioblastoma. To achieve this, accurate segmentation and classification residual tumor from post-operative MR images essential. The current standard method estimating it subject to high inter- intra-rater variability, an automated in early MRI could lead a more estimation extent resection. In this study, two state-of-the-art neural network architectures pre-operative were trained task. models...

10.1038/s41598-023-45456-x article EN cc-by Scientific Reports 2023-11-02

Purpose To improve the robustness of deep learning–based glioblastoma segmentation in a clinical setting with sparsified datasets. Materials and Methods In this retrospective study, preoperative T1-weighted, T2-weighted, T2-weighted fluid-attenuated inversion recovery, postcontrast T1-weighted MRI from 117 patients (median age, 64 years; interquartile range [IQR], 55–73 76 men) included within Multimodal Brain Tumor Image Segmentation (BraTS) dataset plus (2012–2013) similar imaging...

10.1148/ryai.2020190103 article EN cc-by Radiology Artificial Intelligence 2020-09-01

Giant insular tumors are commonly not amenable to complete resection and associated with a high postoperative morbidity rate. Transcortical approach brain mapping techniques allow identify peri-insular functional networks and, neurophysiological monitoring, reduce vascular-associated insults. Cognitive functions be mapped still under debate, the analysis of risk surgery is currently limited neurological examination. This work aimed investigate neurosurgical outcome (extent resection, EOR)...

10.3389/fonc.2021.629166 article EN cc-by Frontiers in Oncology 2021-03-22

The extent of resection (EOR) and postoperative residual tumor (RT) volume are prognostic factors in glioblastoma. Calculations EOR RT rely on accurate segmentations. Raidionics is an open-access software that enables automatic segmentation preoperative early glioblastoma using pretrained deep learning models. aim this study was to compare the value manually versus automatically assessed volumetric measurements patients. Adult patients who underwent histopathologically confirmed were...

10.3171/2024.8.jns24415 article EN Journal of neurosurgery 2025-01-01

Decisions in glioblastoma surgery are often guided by presumed eloquence of the tumor location. The authors introduce "expected residual volume" (eRV) and resectability index" (eRI) based on previous decisions aggregated resection probability maps. diagnostic accuracy eRV eRI to predict biopsy decisions, resectability, functional outcome, survival was determined.

10.3171/2020.1.jns193049 article EN Journal of neurosurgery 2020-04-09
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