How is stereotactic brain biopsy evolving? A multicentric analysis of a series of 421 cases treated in Rome over the last sixteen years

Callovini, Gemma; Telera, Stefano; Sherkat, Shahram; Sperduti, Isabella; Callovini, Tommaso; Carapella, Carmine Maria

doi:10.1016/j.clineuro.2018.09.020

Cited by 17 publications

(15 citation statements)

References 47 publications

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“…In our study, the DY of SBB was 94% and overall DA was 81%. These findings are similar to those of previously published studies of dogs and humans undergoing frame‐based SBB, which report DY for neoplastic lesions ranging from 89 to 99% and DA of 63%‐90% . In both human and veterinary medicine, improvements in the DY and DA of brain biopsy have evolved in parallel with clinician experience, as well as with diagnostic imaging and surgical technologies .…”

Section: Discussionsupporting

confidence: 88%

“…5,6,[10][11][12][13][14][15][16] In both human and veterinary medicine, improvements in the DY and DA of brain biopsy have evolved in parallel with clinician experience, as well as with diagnostic imaging and surgical technologies. 5,6,[10][11][12][13][14][15][16] To date, only 2 studies have reported the DA of needle biopsy in dogs with naturally occurring brain tumors. 6,16 One investigation using a free-hand biopsy technique resulted in a DA of 13%, with diagnostic tumor type agreement noted between biopsy and necropsy in 1/8 cases.…”

Section: Discussionmentioning

confidence: 99%

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Diagnostic accuracy of stereotactic brain biopsy for intracranial neoplasia in dogs: Comparison of biopsy, surgical resection, and necropsy specimens

Kani

Cecere

Lahmers

et al. 2019

Veterinary Internal Medicne

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Background Stereotactic brain biopsy (SBB) is a technique that allows for definitive diagnosis of brain lesions. Little information is available regarding the diagnostic utility of SBB in dogs with intracranial diseases. Objective To investigate the diagnostic accuracy (DA) of SBB in dogs with brain tumors. Animals Thirty‐one client‐owned dogs that underwent SBB followed by surgical resection or necropsy examinations. Methods Retrospective observational study. Two pathologists blinded to SBB and reference standard diagnoses reviewed histologic specimens and typed and graded tumors according to World Health Organization and revised canine glioma classification criteria. Agreement between tumor type and grade from SBB were compared to reference standards and assessed using kappa statistics. Patient and technical factors associated with agreement also were examined. Results Stereotactic brain biopsy specimens were obtained from 24 dogs with gliomas and 7 with meningiomas. Tumor type agreement between SBB and the reference standard was observed in 30/31 cases (κ = 0.95). Diagnostic concordance was perfect for meningiomas. Grade agreement among gliomas was observed in 18/23 cases (κ = 0.47). Stereotactic brain biopsy underrepresented the reference standard glioma grade in cases with disagreement. The DA of SBB was 81%, with agreement noted in 56/69 biopsy samples. Smaller tumors and fewer SBB specimens obtained were significantly associated with diagnostic discordance. Conclusions and Clinical Importance The DA of SBB readily allows for the diagnosis of common brain tumors in dogs. Although glioma grade discordance was frequent, diagnoses obtained from SBB are sufficient to currently inform therapeutic decisions. Multiple SBB specimens should be collected to maximize DA.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 99%

Diagnostic accuracy of stereotactic brain biopsy for intracranial neoplasia in dogs: Comparison of biopsy, surgical resection, and necropsy specimens

Kani

Cecere

Lahmers

et al. 2019

Veterinary Internal Medicne

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“…The observation that there was an increase in the percentage of biopsies performed on the indication 'lymphoma' during the study period might be caused by several factors. First, in several places of the world, [14][15][16] an increase in the incidence of 'primary CNS lymphomas' has been observed in the past decade. Second, at Sahlgrenska University Hospital, after the publication of articles by Jakola et al on increased survival of early resection of 'low-grade gliomas', [17][18][19] there has been a shift towards more aggressive treatment with primary surgery of these lesions.…”

Section: Discussionmentioning

confidence: 99%

A single-centre study of frame-based stereotactic brain biopsies

Pennlund

Jakola

Skoglund

et al. 2021

British Journal of Neurosurgery

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“…Histopathological tissue confirmation is considered the gold standard for diagnosis, but is not always optimal, with misdiagnosis and under grading of tumors reported in 9.2 and 28% of lesions respectively 6 . The reported biopsy complication rate varies between 6 and 12% with mortality rate of 0–1.7% 7 .…”

Section: Introductionmentioning

confidence: 99%

Machine learning based differentiation of glioblastoma from brain metastasis using MRI derived radiomics

Priya

Liu

Ward

et al. 2021

Sci Rep

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Few studies have addressed radiomics based differentiation of Glioblastoma (GBM) and intracranial metastatic disease (IMD). However, the effect of different tumor masks, comparison of single versus multiparametric MRI (mp-MRI) or select combination of sequences remains undefined. We cross-compared multiple radiomics based machine learning (ML) models using mp-MRI to determine optimized configurations. Our retrospective study included 60 GBM and 60 IMD patients. Forty-five combinations of ML models and feature reduction strategies were assessed for features extracted from whole tumor and edema masks using mp-MRI [T1W, T2W, T1-contrast enhanced (T1-CE), ADC, FLAIR], individual MRI sequences and combined T1-CE and FLAIR sequences. Model performance was assessed using receiver operating characteristic curve. For mp-MRI, the best model was LASSO model fit using full feature set (AUC 0.953). FLAIR was the best individual sequence (LASSO-full feature set, AUC 0.951). For combined T1-CE/FLAIR sequence, adaBoost-full feature set was the best performer (AUC 0.951). No significant difference was seen between top models across all scenarios, including models using FLAIR only, mp-MRI and combined T1-CE/FLAIR sequence. Top features were extracted from both the whole tumor and edema masks. Shape sphericity is an important discriminating feature.

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How is stereotactic brain biopsy evolving? A multicentric analysis of a series of 421 cases treated in Rome over the last sixteen years

Cited by 17 publications

References 47 publications

Diagnostic accuracy of stereotactic brain biopsy for intracranial neoplasia in dogs: Comparison of biopsy, surgical resection, and necropsy specimens

Diagnostic accuracy of stereotactic brain biopsy for intracranial neoplasia in dogs: Comparison of biopsy, surgical resection, and necropsy specimens

A single-centre study of frame-based stereotactic brain biopsies

Machine learning based differentiation of glioblastoma from brain metastasis using MRI derived radiomics

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