Literature DB >> 30990928

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

Yukitaka Kani1, Thomas E Cecere2, Kevin Lahmers2, Tanya LeRoith2, Kurt L Zimmerman2, Scott Isom3, Fang-Chi Hsu3, Waldemar Debinksi4, John L Robertson1,4, John H Rossmeisl1,4.   

Abstract

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.
© 2019 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals, Inc. on behalf of the American College of Veterinary Internal Medicine.

Entities:  

Keywords:  biopsy; brain tumor; diagnosis; dog; glioma; meningioma

Mesh:

Year:  2019        PMID: 30990928      PMCID: PMC6524398          DOI: 10.1111/jvim.15500

Source DB:  PubMed          Journal:  J Vet Intern Med        ISSN: 0891-6640            Impact factor:   3.333


diagnostic accuracy diagnostic yield magnetic resonance imaging necropsy examination regions of interest stereotactic brain biopsy surgical resection World Health Organization

INTRODUCTION

Advances in diagnostic imaging, particularly magnetic resonance imaging (MRI), have revolutionized the management of many intracranial disorders in veterinary medicine predominantly by providing information that complements historical and clinical findings and allows for the generation of a refined list of differential diagnoses. However, all of the currently available imaging modalities are sufficiently unreliable to allow for the definitive diagnosis of most intracranial disorders that are commonly encountered in veterinary neurology practice.1, 2, 3, 4 Because potential treatments and prognoses can differ substantially among the differential diagnoses generated in an individual patient based on clinical and imaging data; this diagnostic uncertainty can have profound implications on patient management. For example, in a study of dogs with focal intra‐axial brain lesions on MRI, as many as 47% of cerebrovascular accidents were misdiagnosed as gliomas, and up to 12% of gliomas were misclassified as strokes.2 Given the current limitations of diagnostic imaging, acquisition of representative samples of brain tissue that allow a neuropathologist to provide a definitive diagnosis remains integral to informing best clinical practices regarding the selection of treatment for patients with brain disease. To meet this diagnostic need, minimally invasive stereotactic methods were introduced into neurosurgical practice in human medicine over a century ago and have evolved continuously since that time. To date, stereotactic brain biopsy (SBB) remains 1 of the most commonly performed stereotactic procedures.3, 4 Diagnoses sufficient to guide therapeutic decision making are obtained in 95% of humans in which SBB is performed, with a low risk of associated adverse events.4 Few reports describe the clinical utility of SBB procedures performed in dogs with intracranial diseases.5, 6 Specific measures of the diagnostic utility of histopathological samples obtained using biopsy techniques include diagnostic yield (DY), which is the proportion of biopsy specimens producing a specific pathological diagnosis. The DY is calculated by dividing the number of biopsy specimens producing a specific pathological diagnosis by the total number of biopsies performed. In dogs with intracranial lesions, the DY of SBB has been reported to be 95%.5 Diagnostic accuracy (DA) examines the rate of concordance between samples obtained by biopsy and the final pathological diagnosis obtained by a reference standard method, such as surgical resection (SR) or necropsy examination (NE). The DA is calculated by dividing the number of biopsy specimens giving the same diagnosis as surgical or necropsy specimens by total biopsies performed. To date, very little data are available regarding the DA of SBB in dogs with naturally occurring brain diseases.6 Our objectives were to determine if the neuropathologic diagnosis obtained by SBB, using tumor type and grade as diagnostic endpoints, was an accurate representation of the entire lesion when compared to reference standard SR or necropsy specimens, and to identify any risk factors associated with diagnostic discordance. We hypothesized that the DA of SBB would be lower in dogs with gliomas than in those with meningiomas, and that DA would be positively correlated with the number of SBB specimens obtained in each patient.

MATERIALS AND METHODS

Study design

Retrospective observational study.

Dog and tumor characteristics

The medical records of 31 dogs that underwent SBB followed by open craniotomy and SR or NE between June 2008 and June 2018 were identified by searching a veterinary clinical trial database. Patient data were entered into the database prospectively during clinical trial participation. For the purposes of the study, information extracted from the database included the signalment, lesion side and location in the brain, T2‐weighted (T2W) volume of the target lesion at the time of SBB, number of SBB attempted, number of SBB specimens obtained, number of biopsy trajectories used during the procedure, and number of days elapsed between the performance of the SBB and the subsequent reference standard method (SR or NE).5 Volumetric tumor quantification was determined in each case using image analysis software (OsiriX MD v.6.5.2, Pixmeo SARL, Geneva, Switzerland). Volumes were defined from T2W MRI, because not all tumors demonstrated contrast enhancement. Manually defined regions of interest (ROIs) containing tumor were generated for individual contiguous T2W MRI slices, and volumes were calculated using ROI volume software.5 All dogs in the study underwent SBB to further evaluate newly MRI‐diagnosed brain mass lesions associated with clinical signs of intracranial disease. A single clinician performed all SBB procedures in anesthetized dogs using a previously described frame‐based technique.5 Two different headframe systems were used for SBB, and all dogs in the study had SBB performed with computed tomographic (CT) guidance (Figure 1).5 In an attempt to decrease the risk of obtaining a nondiagnostic biopsy specimen, the neurosurgeon performing SBB intentionally avoided sampling necrotic or hemorrhagic areas. For intra‐axial lesions with heterogeneous or ring‐like patterns of contrast enhancement, biopsy specimens were obtained that included enhancing regions in an attempt to avoid sampling necrotic tumor areas (Figure 1).5 Hemorrhagic foci were defined by hypointensity on T2* gradient echo sequences, or hyperattenuating regions on intraoperative pre‐contrast computed tomography scans (Figure 1).
Figure 1

Computed tomography (CT)‐guided stereotactic brain biopsy (SBB) of canine astrocytoma illustrating underestimation of tumor grade by SBB. A, Pre‐ (inset) and post‐contrast T1‐weighted (T1W) magnetic resonance image (MRI) of heterogeneously ring‐enhancing intra‐axial mass in right frontal lobe. B, Preoperative CT with hyperattenuating region of intralesional hemorrhage corresponding with hypointensity on the T2* gradient image (inset) that is avoided during biopsy. C, Coregistered post‐contrast T1W MRI and intraoperative CT scan with biopsy needle in situ (inset) within dorsal contrast‐enhancing portion of the mass. D, Core specimen from SBB depicted in (C), demonstrating features of a low‐grade fibrillary astrocytoma. The neoplasm is composed of spindloid cells with indistinct cell borders, fibrillar eosinophilic cytoplasm, and cytoplasmic processes arranged in streams and whorls (inset) around small caliber blood vessels, hematoxylin and eosin (H&E) stain. Phenotypic heterogeneity of the tumor is evident in gross (E) and subgross (F) necropsy specimens. In the ventral hemorrhagic region, features of high‐grade astrocytoma such as geographic necrosis, cellular palisading, and microvascular proliferation are apparent (F, inset; H&E stain)

Computed tomography (CT)‐guided stereotactic brain biopsy (SBB) of canine astrocytoma illustrating underestimation of tumor grade by SBB. A, Pre‐ (inset) and post‐contrast T1‐weighted (T1W) magnetic resonance image (MRI) of heterogeneously ring‐enhancing intra‐axial mass in right frontal lobe. B, Preoperative CT with hyperattenuating region of intralesional hemorrhage corresponding with hypointensity on the T2* gradient image (inset) that is avoided during biopsy. C, Coregistered post‐contrast T1W MRI and intraoperative CT scan with biopsy needle in situ (inset) within dorsal contrast‐enhancing portion of the mass. D, Core specimen from SBB depicted in (C), demonstrating features of a low‐grade fibrillary astrocytoma. The neoplasm is composed of spindloid cells with indistinct cell borders, fibrillar eosinophilic cytoplasm, and cytoplasmic processes arranged in streams and whorls (inset) around small caliber blood vessels, hematoxylin and eosin (H&E) stain. Phenotypic heterogeneity of the tumor is evident in gross (E) and subgross (F) necropsy specimens. In the ventral hemorrhagic region, features of high‐grade astrocytoma such as geographic necrosis, cellular palisading, and microvascular proliferation are apparent (F, inset; H&E stain)

Neuropathological review and tumor classification

All archived slides representing samples obtained from the brain from each dog were collected and anonymized. A random number generator (SAS v. 9.4, SAS Institute, Cary, North Carolina) was used to assign a unique numeric identifier to all of the slides belonging to an individual dog. Anonymized slide labels contained the unique numeric identifier assigned, as well as the type of staining procedure used on the slide. Anonymized slides then were assembled into 2 sets: a set containing SBB slides from all dogs and another set containing all SR or NE or both slides from all dogs. Hematoxylin and eosin stained slides were available for all cases in both sets. When available, slides stained immunohistochemically with glial fibrillary acidic protein (GFAP; Dakoa polyclonal, 1:150), vimentin (Dako clone V9, 1:300), or oligodendrocyte transcription factor 2 (Olig‐2; Millipore polyclonal, 1:100) were included for each case in each set.7 Each slide set then was distributed to 2 veterinary pathologists who were not involved in generating the original pathology reports contained in the medical records. From the slide material provided for each case in each set, pathologists were asked to provide a neuropathologic diagnosis, and if the assigned diagnosis was neoplastic, that tumors initially be classified and graded according to World Health Organization (WHO) criteria.8 Two pathologists later were tasked with reclassifying glial tumors after the recent release of the revised classification criteria for dogs, in which gliomas are graded in a binary fashion (high‐ versus low‐grade).9 During the review process, pathologists were asked to provide specific reasons for any samples that were determined to be nondiagnostic, and any comments regarding the samples that influenced their diagnostic conclusions. At least 6 weeks lapsed between a pathologist's review of each of the slide sets. In the event of diagnostic discordance between the 2 examining pathologists, the histopathologic diagnosis coded in the original pathology report for the specimen in question was used to arrive at a majority opinion.

Statistical analyses

Means, SDs, medians, and ranges were calculated for continuous variables. Counts and proportions were calculated for discrete characteristics. The Kruskal‐Wallis test was used to compare the median tumor volume or the median number of biopsy trajectories between dogs with meningiomas and gliomas. The diagnostic concordance of tumor type or tumor grade between SBB and the reference standard was calculated using Cohen's kappa statistic and tested using the McNemar test. The 2‐sample t tests were used for the comparisons of normally distributed patient characteristics between the 2 concordance groups (agreement versus no agreement) and Kruskal‐Wallis tests were used for comparisons of non‐normally distributed patient characteristics. Fisher's exact tests were used for discrete patient characteristics. Statistical analyses were completed using SAS software version 9.4 (SAS Institute). P values <.05 were considered significant.

RESULTS

Thirty‐one dogs were included in the study. The median age at diagnosis by SBB was 9 years (range, 6‐12 years). There were 14 spayed females, 16 neutered males, and 1 intact male. The median body weight was 20 kg (range, 7‐43 kg). Fifteen breeds of dogs were represented including mixed breeds (n = 8), Boston Terrier (n = 6), Boxer (n = 4), American Staffordshire Terrier (n = 2), Labrador Retriever (n = 2), and 1 each of the following: Beagle, Bull Terrier, French Bulldog, German Shepherd, Golden Retriever, Miniature Schnauzer, Rat Terrier, Rottweiler, and Siberian Husky. All tumors were located in the prosencephalon with 29 occurring on or in the cerebral hemispheres and 2 being located in the thalamus. Fourteen tumors were located on the left side of the brain, 15 on the right side, and 2 on the midline. Median tumor volume was 2.9 cm3 (range, 0.55‐12.3 cm3). The median volume of meningiomas was significantly higher than the median volume of gliomas (P = .03; Table 1).
Table 1

Tumor and biopsy technical factor comparisons between tumor types

Tumor type P value
GliomaMeningioma
N247
Median tumor volume (cm3)2.8 (0.55‐12.3)5.3 (2.9‐10.3).03*
Number of biopsy trajectories.003*
120 (83.3%)2 (28.6%)
24 (16.7%)2 (28.6%)
303 (42.9%)
Number of biopsy specimens obtained.26
16 (25.0%)0
211 (45.8%)3 (42.9%)
36 (25.0%)3 (42.9%)
41 (4.2%)1 (14.3%)

P values are exact tests for categorical measures, t tests when means are presented, and Kruskal‐Wallis test when medians are presented.

Statistically significant (P < .05).

Tumor and biopsy technical factor comparisons between tumor types P values are exact tests for categorical measures, t tests when means are presented, and Kruskal‐Wallis test when medians are presented. Statistically significant (P < .05).

Neuropathological results and diagnostic agreement

Reference standard (SR, n = 14 or NE, n = 17) WHO neuropathological diagnoses included 10 astrocytomas (n = 1, Grade II; n = 1, Grade III; and n = 8, Grade IV), 13 oligodendrogliomas (n = 4, Grade II and n = 9, Grade III), 1 Grade III oligoastrocytoma (undefined) glioma, and 7 meningiomas (n = 4, Grade I and n = 3, Grade II). Using the revised glioma classification criteria for dogs, all tissue specimens initially graded as WHO Grade II gliomas were reported as low‐grade tumors, and all WHO Grade III and IV tumors as high‐grade gliomas by pathologists. A Dynatech headframe (Dynatech Machining, Union City, California) was used to perform SBB in 16 dogs, and the Virginia Tech Custom headframe (Virginia Tech, Blacksburg, Virginia) was used in 15 dogs.5 Sixty‐nine individual biopsy samples were obtained from the 31 dogs. The median number of SBB obtained was 2 (range, 1‐4), and was not different between meningiomas and gliomas (P = .26; Table 1). A significantly larger (P = .003; Table 1) number of biopsy trajectories was used in dogs with meningiomas than in those with gliomas. Four of 69 SBB samples were nondiagnostic, resulting in a DY of 94.2% for the SBB procedure. Nondiagnostic biopsy specimens were obtained only from patients with glial tumors. Nondiagnostic biopsy diagnoses included normal brain tissue, hemorrhage, astrogliosis, necrosis, and amorphous eosinophilic material. The median number of days between SBB and performance of the reference standard diagnostic method was 75 days (range, 1‐372 days). The overall DA, using the WHO grading classification scheme, was 81%, with diagnostic agreement noted between SBB and the reference standard method in 56/69 biopsy samples. Diagnostic concordance of tumor type between SBB and the reference standard was observed in 30/31 cases (κ = 0.95). None of the technical factors (headframe type or use of immunohistochemical stains), patient characteristics examined (breed, sex, age, and body weight), reference standard methods (SR or NE), SBB variables (number of biopsy trajectories, biopsies attempted, biopsy specimens obtained, and nondiagnostic biopsy specimens), or tumor features (lesion side, location, volume, and tumor type), significantly influenced tumor type concordance between SBB and the reference standard (P > .05). Tumor grade agreements between SBB and reference standard methods were assessed for 30 cases, because a tumor grade could not be determined for 1 SBB glioma case (Table 2). Universal tumor type and grade agreement was found for all 7 meningiomas. The overall diagnostic grade concordance for all evaluable tumors using WHO classification was 80% (24/30 cases; κ = 0.73). Diagnostic grade concordance using the revised canine glioma classification was observed in 78% of cases (18/23 cases; κ = 0.47), and glioma grading agreement between WHO and revised canine glioma schema was not significantly different (McNemar P = .56). In 6/6 cases of WHO and 4/5 cases of revised canine glioma grading discordance, SBB underestimated tumor grade when compared to the reference standard (Figure 1). Smaller lesion volume was significantly associated with diagnostic discordance (Table 2) in both WHO and revised canine glioma classification systems. In addition, fewer number of biopsies attempted (P = .006) and fewer number of biopsy specimens obtained (P = .004) were factors that were significantly associated with tumor grade discordance using the WHO system (Table 2).
Table 2

Factors associated with tumor grade agreement between World Health Organization (WHO) and revised canine glioma classification criteria

WHO grades agree, n = 30 casesCanine grades agree, n = 23 cases
NoYes P valueNoYes P value
N6 (20%)24 (80%)5 (21.7%)18 (78.3%)
Age (years), mean (SD)8.8 (2.1)9.1 (1.7).729.2 (2.2)8.7 (1.7).61
Body weight (kg), mean (SD)20.5 (7.6)22.0 (11.7).7718.0 (7.5)21.2 (10.9).55
Lesion volume (cm3), mean (SD)1.2 (0.7)4.2 (3.0).0001* 1.4 (0.9)3.4 (3.0).02*
Headframe type1.001.00
Dynatech3 (20%)12 (80%)3 (25%)9 (75%)
Virginia Tech3 (20%)12 (80%)2 (18.2%)9 (81.8%)
Sex.49.31
Female spayed4 (30.8%)9 (69.2%)2 (22.2%)7 (77.8%)
Male neutered2 (12.5%)14 (87.5%)2 (15.4%)11 (84.6%)
Male01 (100.0%)1 (100.0%)0
Reference standard (RS) method.18.27
Surgery1 (7.1%)13 (92.9%)07 (100.0%)
Necropsy5 (31.3%)11 (68.8%)5 (31.3%)11 (68.8%)
Number biopsy trajectories.26.54
16 (28.6%)15 (71.4%)5 (26.3%)14 (73.7%)
206 (100.0%)04 (100.0%)
303 (100.0%)00
Number biopsies attempted.006* .15
14 (80.0%)1 (20.0%)3 (60%)2 (40%)
22 (15.4%)11 (84.6%)1 (10%)9 (90%)
309 (100.0%)1 (16.7%)5(83.3%)
403 (100.0%)02 (100.0%)
Number biopsy specimens obtained.004* .07
14 (80.0%)1 (20.0%)3 (60.0%)2 (40.0%)
22 (14.3%)12 (85.7%)1 (9.1%)10(90.9%)
309 (100.0%)1 (16.7%)5 (83.3%)
402 (100.0%)01 (100.0%)
Number nondiagnostic biopsies.561.00
104 (100.0%)03 (100.0%)
06 (23.1%)20 (76.9%)5 (25%)25 (80%)
Lesion side.25.64
Left5 (35.7%)9 (64.3%)3 (27.3%)8 (72.7%)
Right1 (7.1%)13 (92.9%)2 (16.7%)10 (83.3%)
Midline02 (100.0%)00
Tumor type (RS).41.052
Astrocytoma2 (20.0%)8 (80.0%)010 (100.0%)
Oligodendroglioma4 (33.3%)8 (66.7%)5 (41.7%)7 (58.3%)
Glioma undefined/oligoastrocytoma01 (100.0%)01 (100.0%)
Meningioma07 (100.0%)NANA
GFAP/Olig‐2 immunohistochemistry (excludes meningiomas).56.07
SBB‐both; RS‐both3 (50%)3 (50%)4 (66.7%)2 (33.3%)
SBB‐both; RS‐GFAP1 (20%)4 (80%)05 (100%)
SBB‐GFAP; RS‐both2 (40%)3 (60%)1 (20%)4 (80%)
SBB‐GFAP; RS‐GFAP05 (100%)05 (100%)
SBB‐Olig‐2; RS‐GFAP01 (100%)01 (100%)
WHO tumor grade (RS).16.14
104 (100.0%)00
208 (100.0%)1 (20%)4 (80%)
34 (40.0%)6 (60.0%)4 (40.0%)6 (60.0%)
42 (25.0%)6 (75.0%)08 (100.0%)
Canine glioma grade (RS)NA1.00
LowNANA1 (20%)4 (80%)
HighNANA4 (22.2%)14 (77.8%)
Time (days) from SBB to RS, median (IQR)110.5 (45.0)25.0 (157.0).25126.0 (61.0)68.5 (158.0).26

Abbreviations: GFAP, glial fibrillary acidic protein; IQR, interquartile range; NA, not applicable; Olig‐2, oligodendrocyte transcription factor 2; SBB, stereotactic brain biopsy.

P values are exact tests for categorical measures, t tests when means are presented, and Kruskal‐Wallis test when medians are presented.

Statistically significant (P < .05).

Factors associated with tumor grade agreement between World Health Organization (WHO) and revised canine glioma classification criteria Abbreviations: GFAP, glial fibrillary acidic protein; IQR, interquartile range; NA, not applicable; Olig‐2, oligodendrocyte transcription factor 2; SBB, stereotactic brain biopsy. P values are exact tests for categorical measures, t tests when means are presented, and Kruskal‐Wallis test when medians are presented. Statistically significant (P < .05).

DISCUSSION

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%.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.16 Another study using a SBB procedure reported a DA of 91% (20/22 cases) in dogs with brain tumors.6 Neither of these previous studies in dogs included analyses of tumor grade as a component of diagnostic concordance. Here, we report an accuracy of 97% (30/31 cases) for determination of tumor type. The excellent agreement between SBB and the reference standard tumor type diagnoses in this, and other studies, provides additional evidence that SBB is a sufficiently accurate technique to provide definitive histologic diagnoses of brain tumors and subsequently guide patient care.6 Because meningiomas and gliomas account for 75%‐90% of all primary brain tumors in dogs, the cohort of dogs reported here is an appropriate representation of potential candidates for SBB encountered in clinical practice.6, 17 Diagnostic agreement for tumor type and grade was perfect for all meningiomas in our study, but no attempt was made to examine concordance with respect to meningioma histologic subtypes. As hypothesized, the DA of gliomas was lower than that of meningiomas. This finding is not unexpected given that meningiomas were significantly larger than gliomas, and more biopsy trajectories were used in meningioma cases. Although the number of biopsy specimens obtained was not statistically different between meningiomas and gliomas, usage of a higher number of biopsy trajectories may improve diagnostic agreement by providing a superior topographic representation of tumor histology. All of the diagnostic discordance observed in our study occurred during evaluation of glial tumors, and the majority of disagreements were attributable to tumor grading. Glioma grade agreement was moderate and not significantly different between both grading systems (17/23 WHO graded cases and 18/23 revised canine cases). Notably, SBB frequently underestimated glioma grade compared to SR or NE. The difference in grade concordance between systems likely is explained because the WHO glioma grading system has 4 categories, whereas the revised canine classification system grades in a binary fashion (high or low). Thus, it is not unexpected that more disagreements were noted using the WHO grading system. Pathologists in our study commented that the absence of the hallmark morphologic feature of necrosis in SBB specimens often precluded assignment of a Grade IV astrocytoma or Grade III oligodendroglioma (high‐grade glioma) diagnosis.9 This may represent a form of sampling bias, because the neurosurgeon performing SBB intentionally avoided necrotic tumor regions, given that obtaining biopsy specimens from necrotic areas accounts for a substantial proportion of nondiagnostic samples in studies of SBB in dogs and humans.5, 11, 13, 15 Phenotypic heterogeneity within gliomas is well recognized to present diagnostic challenges to neuropathologists in human and veterinary medicine, especially when considering the sample size limitations inherent to SBB.9, 15 Our findings further support usage of the revised canine glioma system to streamline and standardize glioma diagnosis in dogs. Factors that were identified to significantly influence glioma grade discordance in our study were lesion volume, number of biopsies attempted, and the number of biopsy specimens obtained. Gliomas in which grade discordance was noted were significantly smaller than those in which there was grade agreement. Previous investigations of SBB in humans and dogs have indicated that SBB of smaller lesions may result in lower diagnostic agreement for numerous reasons such as targeting inaccuracies, mechanical deformation of the target at the time of the biopsy, limited quantity or quality of biopsy specimens obtained, and higher probability of obtaining biopsy specimens outside the tumor or at its boundaries.5, 10, 13, 15 One study of humans also demonstrated that SBB of very large gliomas (>50 cm3) resulted in biopsy samples that were less representative of the entire lesion because of the extensive areas of necrosis and extreme intratumoral heterogeneity.13 The number of biopsies attempted and specimens obtained also were significant variables that affected DA of SBB in this and other studies, and are often inherently related to lesion volume.5 The median number of biopsy specimens obtained in cases of diagnostic discordance in this cohort was 1, which highlights the importance of obtaining multiple biopsy samples to improve the DA of SBB. Performance of a geographic core biopsy technique represents a possible solution for optimizing the DA of SBB by obtaining multiple samples along a single biopsy trajectory. Several limitations of our study also may have impacted agreement. First, methods to minimize interobserver variability between pathologists classifying tumors were not included in the study design. Although pathologists participating in the study all have experience with brain tumors in dogs and SBB, similar to the results reported here, agreement among experts reviewing glioma histomorphology and grade in dogs and humans has been reported previously as moderate.5, 9, 18 Incorporation of joint training and multiple specimen review sessions for pathologists has been shown to improve DA and should be considered in future studies.19 All of the dogs in our study received interventions including stereotactic radiotherapeutic, molecularly targeted biological, and other ablative therapies between the time SBB and reference standard tissue samples were collected.20, 21, 22 Tumor phenotypes may change over time as a result of natural tumor progression or as a result of treatments administered.11, 13, 15, 21 Although time elapsed between SBB and the reference standard was not shown to significantly influence diagnostic concordance in our study, the median time elapsed between SBB and reference standard diagnosis in cases with glioma grade discordance (126 days) was nearly twice as long as in cases demonstrating agreement (68 days). In addition, the only disagreement in tumor type diagnosis observed in our study also had the longest delay (372 days) between SBB and necropsy.

CONCLUSIONS

The DA of SBB readily allows for the definitive diagnosis of different types of common brain tumors in dogs. Agreement between SBB and reference standard methods for glioma grading was moderate, with SBB frequently underestimating glioma grade. However, given the currently unknown influences of tumor grade on the prognosis of dogs with gliomas, SBB provides sufficient information to rationally guide therapeutic decisions in dogs with brain tumors. Multiple biopsy specimens should be obtained to maximize the DA of SBB.23

CONFLICT OF INTEREST DECLARATION

Authors declare no conflict of interest.

OFF‐LABEL ANTIMICROBIAL DECLARATION

Authors declare no off‐label use of antimicrobials.

INSTITUTIONAL ANIMAL CARE AND USE COMMITTEE (IACUC) OR OTHER APPROVAL DECLARATION

The study was conducted in accordance with the guidelines of the Virginia Tech Institutional Animal Care and Use Committee (protocols 17‐011, 17‐203, 16‐017, 15‐221, 14‐235, 12‐014, and 08‐218).

HUMAN ETHICS APPROVAL DECLARATION

Authors declare human ethics approval was not needed for this study.
  23 in total

1.  Safety and feasibility of the NanoKnife system for irreversible electroporation ablative treatment of canine spontaneous intracranial gliomas.

Authors:  John H Rossmeisl; Paulo A Garcia; Theresa E Pancotto; John L Robertson; Natalia Henao-Guerrero; Robert E Neal; Thomas L Ellis; Rafael V Davalos
Journal:  J Neurosurg       Date:  2015-07-03       Impact factor: 5.115

2.  Accuracy and diagnostic yield of stereotactic biopsy in the diagnosis of brain masses: comparison of results of biopsy and resected surgical specimens.

Authors:  Fügen V Aker; Tayfun Hakan; Selhan Karadereler; Murat Erkan
Journal:  Neuropathology       Date:  2005-09       Impact factor: 1.906

3.  Clinicopathologic features of intracranial central neurocytomas in 2 dogs.

Authors:  J H Rossmeisl; P Piñeyro; D P Sponenberg; R H Garman; B S Jortner
Journal:  J Vet Intern Med       Date:  2012 Jan-Feb       Impact factor: 3.333

4.  CT-guided brain biopsy using a modified Pelorus Mark III stereotactic system: experience with 50 dogs.

Authors:  P D Koblik; R A LeCouteur; R J Higgins; A W Bollen; K M Vernau; G D Kortz; J E Ilkiw
Journal:  Vet Radiol Ultrasound       Date:  1999 Sep-Oct       Impact factor: 1.363

5.  Improving diagnostic accuracy and interobserver concordance in the classification and grading of primary gliomas.

Authors:  S W Coons; P C Johnson; B W Scheithauer; A J Yates; D K Pearl
Journal:  Cancer       Date:  1997-04-01       Impact factor: 6.860

6.  Comparative magnetic resonance imaging findings between gliomas and presumed cerebrovascular accidents in dogs.

Authors:  Vicente Cervera; Wilfried Mai; Charles H Vite; Victoria Johnson; Betsy Dayrell-Hart; Gabriela S Seiler
Journal:  Vet Radiol Ultrasound       Date:  2011 Jan-Feb       Impact factor: 1.363

Review 7.  Interobserver variation of the histopathological diagnosis in clinical trials on glioma: a clinician's perspective.

Authors:  Martin J van den Bent
Journal:  Acta Neuropathol       Date:  2010-07-20       Impact factor: 17.088

8.  Expression and activity of the urokinase plasminogen activator system in canine primary brain tumors.

Authors:  John H Rossmeisl; Kelli Hall-Manning; John L Robertson; Jamie N King; Rafael V Davalos; Waldemar Debinski; Subbiah Elankumaran
Journal:  Onco Targets Ther       Date:  2017-04-12       Impact factor: 4.147

Review 9.  The 2007 WHO classification of tumours of the central nervous system.

Authors:  David N Louis; Hiroko Ohgaki; Otmar D Wiestler; Webster K Cavenee; Peter C Burger; Anne Jouvet; Bernd W Scheithauer; Paul Kleihues
Journal:  Acta Neuropathol       Date:  2007-07-06       Impact factor: 17.088

10.  New agents for targeting of IL-13RA2 expressed in primary human and canine brain tumors.

Authors:  Waldemar Debinski; Peter Dickinson; John H Rossmeisl; John Robertson; Denise M Gibo
Journal:  PLoS One       Date:  2013-10-16       Impact factor: 3.240

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  13 in total

1.  Outcome After Radiation Therapy in Canine Intracranial Meningiomas or Gliomas.

Authors:  TomÁs Rodrigues MagalhÃes; JÉrÔme BenoÎt; SlavomÍra NÉČovÁ; Susan North; Felisbina LuÍsa Queiroga
Journal:  In Vivo       Date:  2021 Mar-Apr       Impact factor: 2.155

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

Authors:  Yukitaka Kani; Thomas E Cecere; Kevin Lahmers; Tanya LeRoith; Kurt L Zimmerman; Scott Isom; Fang-Chi Hsu; Waldemar Debinksi; John L Robertson; John H Rossmeisl
Journal:  J Vet Intern Med       Date:  2019-04-16       Impact factor: 3.333

Review 3.  Companion animal models of neurological disease.

Authors:  Brittanie Partridge; John H Rossmeisl
Journal:  J Neurosci Methods       Date:  2019-11-13       Impact factor: 2.390

4.  A Radiomics Model for Predicting Early Recurrence in Grade II Gliomas Based on Preoperative Multiparametric Magnetic Resonance Imaging.

Authors:  Zhen-Hua Wang; Xin-Lan Xiao; Zhao-Tao Zhang; Keng He; Feng Hu
Journal:  Front Oncol       Date:  2021-09-02       Impact factor: 6.244

5.  Feasability of a Frameless Brain Biopsy System for Companion Animals Using Cone-Beam CT-Based Automated Registration.

Authors:  Felix Meneses; Arianna Maiolini; Franck Forterre; Anna Oevermann; Daniela Schweizer-Gorgas
Journal:  Front Vet Sci       Date:  2022-02-09

6.  Comparison of linear and volumetric criteria for the determination of therapeutic response in dogs with intracranial gliomas.

Authors:  Josefa Karina Garcia Mora; John Robertson; Fang-Chi Hsu; Richard Levon Shinn; Martha M Larson; Christopher G Rylander; Christopher T Whitlow; Waldemar Debinski; Rafael V Davalos; Gregory B Daniel; John H Rossmeisl
Journal:  J Vet Intern Med       Date:  2022-03-11       Impact factor: 3.175

7.  A pilot study of optical neuronavigation-guided brain biopsy in the horse using anatomic landmarks and fiducial arrays for patient registration.

Authors:  Lawrence Santistevan; Jeremiah Easley; Audrey Ruple; Sam Monck; Elissa Randall; Fred Wininger; Rebecca A Packer
Journal:  J Vet Intern Med       Date:  2020-05-29       Impact factor: 3.333

Review 8.  Canine Primary Intracranial Cancer: A Clinicopathologic and Comparative Review of Glioma, Meningioma, and Choroid Plexus Tumors.

Authors:  Andrew D Miller; C Ryan Miller; John H Rossmeisl
Journal:  Front Oncol       Date:  2019-11-08       Impact factor: 6.244

9.  Accuracy of a magnetic resonance imaging-based 3D printed stereotactic brain biopsy device in dogs.

Authors:  Sarah Gutmann; Dirk Winkler; Marcel Müller; Robert Möbius; Jean-Pierre Fischer; Peter Böttcher; Ingmar Kiefer; Ronny Grunert; Thomas Flegel
Journal:  J Vet Intern Med       Date:  2020-02-24       Impact factor: 3.333

10.  Risk factors for adverse events occurring after recovery from stereotactic brain biopsy in dogs with primary intracranial neoplasia.

Authors:  Richard L Shinn; Yukitaka Kani; Fang-Chi Hsu; John H Rossmeisl
Journal:  J Vet Intern Med       Date:  2020-09-14       Impact factor: 3.333

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