Extended Anatomical Grading in Diffuse Axonal Injury Using MRI: Hemorrhagic Lesions in the Substantia Nigra and Mesencephalic Tegmentum Indicate Poor Long-Term Outcome

Abstract

Clinical outcome after traumatic diffuse axonal injury (DAI) is difficult to predict. In this study, three magnetic resonance imaging (MRI) sequences were used to quantify the anatomical distribution of lesions, to grade DAI according to the Adams grading system, and to evaluate the value of lesion localization in combination with clinical prognostic factors to improve outcome prediction. Thirty patients (mean 31.2 years ±14.3 standard deviation) with severe DAI (Glasgow Motor Score [GMS] <6) examined with MRI within 1 week post-injury were included. Diffusion-weighted (DW), T2*-weighted gradient echo and susceptibility-weighted (SWI) sequences were used. Extended Glasgow outcome score was assessed after 6 months. Number of DW lesions in the thalamus, basal ganglia, and internal capsule and number of SWI lesions in the mesencephalon correlated significantly with outcome in univariate analysis. Age, GMS at admission, GMS at discharge, and low proportion of good monitoring time with cerebral perfusion pressure <60 mm Hg correlated significantly with outcome in univariate analysis. Multivariate analysis revealed an independent relation with poor outcome for age (p = 0.005) and lesions in the mesencephalic region corresponding to substantia nigra and tegmentum on SWI (p = 0.008). We conclude that higher age and lesions in substantia nigra and mesencephalic tegmentum indicate poor long-term outcome in DAI. We propose an extended MRI classification system based on four stages (stage I—hemispheric lesions, stage II—corpus callosum lesions, stage III—brainstem lesions, and stage IV—substantia nigra or mesencephalic tegmentum lesions); all are subdivided by age (≥/<30 years).

Introduction

Traumatic brain injury (TBI) remains a major cause of death and disability. TBI accounts for one-third of all injury-associated deaths in the United States affecting all ages, ethnicities, and income groups.¹ Traditionally, TBI may be divided by biomechanical and neuroradiological characteristics into focal (fracture, contusion, subdural or epidural hematoma) and diffuse injuries (diffuse axonal injury [DAI] and diffuse brain edema).

DAI is a common finding in patients with severe TBI^2,3 and appears to be a more important predictor of poor neurological outcome and long-term cognitive and behavioral impairments than focal TBI.^4–6 DAI is caused by angular or rotational acceleration-deceleration forces to the head resulting in stretching of brain tissue.

The histopathological grading of DAI, proposed by Adams and associates⁷ into grades 1–3 is based on the presence of axonal injury in the cerebral hemispheres with a predilection for the grey-white interface (grade 1), the corpus callosum (grade 2), and the dorsolateral, rostral brainstem (grade 3). Diffuse brain injuries can also be classified by the widely used Marshall computed tomography (CT) classification of TBI based on the degree of compression of the mesencephalic cisterns, the degree of midline shift, and the presence or absence of one or more surgical mass lesions.⁸

The CT findings in DAI are typically limited to microhemorrhages in the white matter and/or traumatic edema of the brain.^2,7,9 Magnetic resonance imaging (MRI) is a more sensitive method than CT to detect DAI and capable of visualizing even microscopic amounts of blood products.¹⁰ MRI sequences sensitive for hemorrhage such as T2*-weighted gradient echo (T2*GRE) and susceptibility-weighted imaging (SWI) and diffusion-weighted imaging (DWI) that is sensitive for intra- and extracellular edema can confirm the DAI diagnosis by demonstrating lesions in the white matter of cerebral hemispheres, corpus callosum, and brainstem.^11–13

The prognostic methods to assess long-term outcome after DAI are still unreliable. The presence and number of hemorrhagic and nonhemorrhagic lesions detected by DAI-sensitive sequences on MRI have shown correlation with outcome,^14–17 but the prognostic value of anatomical lesion location has not been analyzed extensively. Hemorrhagic and nonhemorrhagic DAI-associated lesions on MRI seem to diminish over time,^17,18 and significant prognostic information may therefore be lost when late MRI is used.¹⁷ Because early MRI can be challenging to perform in unstable severely traumatized patients with TBI, there is a paucity of studies that evaluate the value of MRI in the early phase of severe TBI with DAI for prediction of long-term outcome. Therefore the aims of this study were to:

• 1. Quantify and assess the anatomical distribution of lesions associated with DAI comparing different MRI sequences.

• 2. Apply the Adams anatomical grading system based on histopathology⁷ using modern MRI sequences.

• 3. Evaluate whether anatomical localization of lesions and MRI grading provide valuable prognostic information in combination with clinical prognostic factors.

• 4. Propose a new MRI grading system based on the Adams anatomical histopathological grading system and clinical prognostic factors to improve prediction of long-term outcome.

Methods

Patient selection

The criteria for inclusion were: age more than 15 years, severe head injury with post-resuscitation Glasgow Coma Scale (GCS) score <9 or Glasgow Motor Score (GMS) <6, no mass lesion over 25 cc, no ischemic/vascular lesion explaining the depressed level of consciousness, and DAI-associated lesions confirmed on MRI performed within 1 week after trauma. During the study period between January 2006 and February 2014, a total of 59 patients older than 15 years were admitted to the neurointensive care (NIC) unit with suspected DAI on the initial CT.

In 20 patients, MRI was not performed to confirm the DAI diagnosis, and 9 patients were investigated with MRI in the subacute phase beyond 1 week post-injury. The main reasons for not performing MRI acutely were externally fixated extremity fractures incompatible with MRI followed by intracranial pressure (ICP) instability, which made transfer from the NIC unit unsafe. The remaining 30 patients with severe TBI included in the study had clinical and CT indications of DAI, and this diagnosis was confirmed with MRI within 1 week of the injury.

With the exception of one patient with grade II thrombocytopenia (platelet count of 50 – 75 × 10⁹/L), no patient had a coagulopathy or was receiving anticoagulant therapy before the trauma. Low-dose antithrombotic therapy with low-molecular weight heparin (LMWH; Dalteparin 2500–5000 units) was administered to 16/30 patients at mean 6 days (standard deviation [SD] ±4 days) post-trauma. The LMWH was administered after acquisition of MRI images in all but two patients, in whom LMWH was administered 1 day before the MRI.

Neurointensive care

All patients in the presented study were treated at the NIC unit at the Uppsala University Hospital. The patients were ventilated endotracheally and sedated using a combination of intermittent intravenous (IV) morphine analgesia (Morfin Meda 1–3 mg, Meda, Sollentuna, Sweden) and continuous IV propofol infusion (Propofol-Lipuro 1–4 mg/kg/h, B. Braun Melsungen AG, Melsungen, Germany). All patients had ICP monitoring (Codman ICP express intraparenchymal monitor in 22 patients, external ventricular drain in 8 patients) for continuous measurements of ICP and cerebral perfusion pressure (CPP).

Patients with TBI were treated using an ICP- and CPP-guided standard protocol including mild hyperventilation initially (PaCO₂ 30–35 mm Hg; 4.0–4.5 kPa), 30-degree elevated head of bed, and volume expansion to normovolemia and a central venous pressure of 0–5 mm Hg.¹⁹ To minimize secondary brain injury, the aim of treatment was to keep ICP at <20 mm Hg and CPP at >60 mm Hg according to an organized secondary insult program.¹⁹ ICP elevations not controlled by standard therapy or CSF drainage were treated with pharmacologically induced coma using first continuous propofol infusions without neurological wake-up tests²⁰ and as second-tier therapy, continuous sodium pentobarbital infusion therapy and/or a decompressive craniotomy.

Imaging and image analysis

An initial CT was performed on admission and scored according to the Marshall classification by the first author (SAH).⁸ MRI was performed as soon as the patients were medically stable. MRI was performed with a 1.5T scanner (Siemens Avanto, Siemens Medical, Erlangen, Germany). Imaging included a gradient echo T2*GRE sequence (repetition time [TR]: 500 msec, echo time [TE]: 14 msec, flip angle [FA]: 30 degrees, acquisition voxel: 0.9 × 0.9 × 3 mm); a diffusion-weighted (DW) sequence (SE-EPI, b-value 1000 s/mm², TR: 4700 msec, TE: 89 msec, acquisition voxel: 1.2 × 1.2 × 5 mm); and a SWI sequence (TR: 49 msec, TE: 40 msec, FA: 15 degrees, acquisition voxel: 0.9 × 0.9 × 1.5 mm).

The images were assessed independently by two of the authors (SAH and JW). DAI-associated lesions were defined as hypointense/decreased signals for T2*GRE and SWI sequences, and/or restricted diffusion for DW sequence in white matter structures not extending to the cortex. No size limit was used. Present small cortical lesions were excluded. Mimicking lesions such as vascular structures were excluded based on tubular shape.

The Adams anatomical histopathological grading system was applied.⁷ The grading was performed both for each sequence separately and for all MRI sequences combined, where patients were classified according to the sequence giving the highest grade. The number of DAI-associated lesions was counted on each side of the midline in different anatomical localizations of the brain as presented in Table 1.

Table 1.

Protocol Used for Counting Lesions in Different Anatomical Localizations Using Magnetic Resonance Imaging in Patients with Diffuse Axonal Injury

Grade 1 (hemispheric)	T2*GRE	Right	Left	DW	Right	Left	SWI	Right	Left
Frontal
Temporal
Parietal
Occipital
Insular
Cerebellar

Grade 2 (corpus callosum)	T2*GRE	DW	SWI
Genu
Body
Splenium

Grade 3 (brainstem)	T2*GRE	Crus cerebri	SN and tegmental	Tectal	DW	Crus cerebri	SN and tegmental	Tectal	SWI	Crus cerebri	SN and tegmental	Tectal
Mesencephalon

	T2*GRE	Ventral	Dorsal	DW	Ventral	Dorsal	SWI	Ventral	Dorsal
Pons
Medulla oblongata

Deep hemispheric lesions	T2*GRE	Right	Left	DW	Right	Left	SWI	Right	Left
Thalamus
Basal ganglia
Internal capsule

T2^*GRE, T2^*-weighted gradient echo; DW, diffusion-weighted sequence; SWI, susceptibility-weighted imaging;

The mesencephalon was anatomically divided into three regions; (1) crus cerebri, (2) substantia nigra and mesencephalic tegmentum, and (3) tectum including the superior and inferior colliculi (Fig. 1). The pons and the medulla oblongata were anatomically divided into a ventral and a dorsal tegmental portion. For practical reasons, patients with >10 lesions in one anatomical location unilaterally were assigned the number 15, similar to the approach of an earlier study.¹⁷ Both raters were blinded to patients’ outcome.

FIG. 1.

(A, B) Definition of brainstem and mesencephalic structures. The mesencephalon was anatomically divided into three regions; region (1) crus cerebri, (2) substantia nigra and tegmentum, and (3) tectum including the superior and inferior colliculi, Mes, mesencephalon; Med, medulla oblongata; Crus, crus cerebri; SN, substantia nigra; Teg, mesencephalic tegmentum; Tec, mesencephalic tectum.

Potential clinical prognostic predictors

Demographic data and other clinical information were collected from the electronic patient record system, the TBI NIC database, and the Uppsala TBI registry (www.ucr.uu.se). Physiologic data were collected using a computerized multimodality monitoring system collecting minute-by-minute average values for each monitored parameter.²¹ Data were manually assessed, and invalid data were withdrawn from the total monitoring time. Physiological data collection was interrupted when the patient was taken to the operating room or for radiologic evaluation as well as when network or software failures occurred.

The remaining monitoring data, after removal of invalid data and without the gaps from interruption of monitoring, gave the good monitoring time (GMT), which was assessed for ICP, CPP, mean arterial blood pressure (MAP), heart rate, and core body temperature. GMT for the first 96 h after start of monitoring was used for analysis, and a minimum of 24 h of GMT was required for inclusion.

Thresholds for secondary insults were defined based on the treatment goals for ICP, CPP, MAP, heart rate, and core body temperature and included ICP >20 mm Hg, CPP <60 mm Hg, MAP <70 mm Hg, heart rate >120 bpm, and core body temperature >38°C. The amounts of secondary insults were calculated as the proportion of GMT at the insult level and are presented as percent of GMT. Mean pressure reactivity index (PRx), the moving correlation coefficient between fluctuations in ICP and arterial blood pressure (ABP) was calculated as a measure of the status of cerebral pressure autoregulation during the same period.²² We also calculated mean ICP amplitude to evaluate intracranial compliance.²³

Outcome

Long-term outcome was assessed at >6 months after injury according to the extended Glasgow Outcome Scale (GOSE). The GOSE score was assessed by an intensive care specialist nurse who was trained to perform the structured interview and blinded to all clinical data. Evaluation was performed via a standardized questionnaire based on the structured interviews proposed by Wilson and colleagues,²⁴ to be filled out by patients or the closest relative. Patients or relatives were contacted by telephone when supplementary information was needed.

Statistical methods

The inter-rater agreement was calculated for agreement of DAI grading between the two independent evaluators for all sequences and for substantia nigra or tegmental/tectal brainstem lesion on SWI. Inter-rater agreement for total number of DAI-associated lesions was also calculated for all three sequences. Disagreement was settled with a mutual evaluation of images by SAH and JW, and the agreed consensus was used for data analysis.

The inter-rater agreement was analyzed using linear weighted Cohen κ statistics for categorical values, and the intra-class correlation coefficient (ICC) was calculated with two-way random single measures (consistency/absolute agreement) for continuous values. Values of <0.2 were considered as poor, 0.21–0.4 as fair, 0.41–0.6 as moderate, 0.61–0.8 as good, and >0.81 as very good agreement for both κ and ICC values.

Statistica 12.0 (Stat Soft, Inc. Tulsa, OK) was used for descriptive and analytical statistics. The Student t test was used for normal distributed data and the Fisher exact test for comparison of proportions. The Mann-Whitney U test was used for skewed distributions. The association between potential prognostic factors and long-term outcome was analyzed with ordinal logistic regression with GOSE category as the dependent variable. Factors found significantly associated with outcome on univariate analysis were further analyzed in multivariate analysis with ordinal logistic regression. A p value of <0.05 was considered statistically significant.

Ethics

The Uppsala University Regional Ethical Review Board for clinical research granted permission for the study.

Results

Demographics, injury related variables, ICP management, and outcomes are presented in Table 2. Age was significantly associated with long-term outcome (p = 0.001, odds ratio [OR] 1.10, 95% confidence interval [CI] 1.04–1.17) as were GMS at admission (p = 0.0025, OR 14.6, 95% CI 2.58–83.22) and GMS at discharge (p < 0.001, OR 10.32, 95% CI 2.75–38.75) on univariate analysis.

Table 2.

Demographic Data and Potential Prognostic Clinical Factors and Their Association with Long-Term Outcome (Glasgow Outcome Scale Extended) in Ordinal Univariate Logistic Regression

Variable	No of cases (%)	OR, 95% CI	p value§
Age (years)*	31.2 (16–60)	1.10, 1.04–1.17	0.001
Sex (male/female)	26/4 (86.7/13.3)	1.05, 0.41–2.68	0.91
Length of stay* (days)	11.8 (3–30)	1.07, 0.96–1.20	0.21
Injury mechanism
MVA	18 (60)	0.46, 0.12–1.68	0.24
Sport	7 (23.3)	0.29, 0.07–1.32	0.11
Fall	4 (13.3)	1.25, 0.23–6.62	0.80
Assault	1 (3.3)	R	R
Admission GMS score†	5 (6–1)	14.6, 2.58–83.22	0.0025
Motor deficit (y/n)		1.34, 0.70–2.57	0.38
None	14 (46.7)
Extremity	7 (23.3)
Hemiparesis	8 (26.7)
Tetraparesis	1 (3.3)
Extracranial injury	22 (73.3)	2.04, 0.95–4.39	0.07
ISS*	24.3 (16–45)	1.03, 0.95–1.11	0.43
Marshall score
DI I	3 (10)	R	R
DI II	22 (73.3)	1.63, 0.59–4.52	0.34
DI III	5 (16.7)	1.85, 0.51–6.71	0.34
ICP management
Basal treatment	24 (80)	R	R
CSF drainage	3 (10)	1.31, 0.28–6.18	0.73
Propofol coma	3 (10)	2.33, 0.47–11.49	0.30
GMS score at discharge†	6 (6–4)	10.32, 2.75–38.75	0.0005
GOSE >6 months
1–2	1 (3.3)
3–4	8 (26.7)
5–6	11 (36.7)
7–8	9 (30)
LF	1 (3.3)

^§Association with Glasgow Outcome Scale extended.

^*Listed as mean and range.

^†Listed as median and range.

OR, odds ratio; CI, confidence interval; MVA, motor vehicle accident; R, reference category; GMS, Glasgow Motor Score; ISS, Injury Severity Score⁴⁹; DI, diffuse injury; ICP, intracranial pressure; CSF, cerebrospinal fluid; LF, lost to follow-up.

GOSE, Glasgow Outcome Scale extended.

Anatomical distribution and univariate analysis for outcome prediction

Anatomical distributions of DAI-associated lesions are shown in Table 3. SWI images identified significantly more hemorrhagic lesions than T2*GRE images in cerebral hemispheres (p < 0.001), corpus callosum (p = 0.0026), brainstem (p = 0.024), and in total (p < 0.001). A higher number of lesions were also found when the SWI sequence was compared with the DW sequence in cerebral hemispheres (p < 0.001), corpus callosum (p = 0.001), brainstem (p = 0.009), thalamus, basal ganglia and internal capsule (p < 0.001), and in total (p < 0.001). No significant difference was found when lesion numbers identified with T2*GRE and DW sequence were compared.

Table 3.

Anatomical Distribution and Number of Diffuse Axonal Injury Associated Lesions and Their Association with Long-Term Outcome (Glasgow Outcome Scale Extended) in Ordinal Univariate Logistic Regression

	Mean	Minimum	Maximum	SD	OR, 95% CI	p value§
T2*GRE
Grade 1
Total cerebral hemisphericΔ	12.3	0	44	10.0	1.26, 0.96–1.09	0.46
Total cerebellar¶	0.3	0	3	0.8	0.51, 0.19–1.35	0.18
Grade 2
Total corpus callosumΩ	2.7	0	14	3.4	0.98, 0.80–1.20	0.84
Grade 3
Total brainstemφ	0.9	0	7	1.7
Total mesencephalon	0.5	0	6	1.2
Crus cerebri	0.1	0	1	0.3	0.72, 0.09–6.06	0.76
SN and mesencephalic tegmentum	0.3	0	5	1.0	0.97, 0.50–1.86	0.92
Mesencephalic tectum	0.2	0	2	0.5	1.94, 0.15, 25.48	0.61
Total pons	0.3	0	4	0.8
Pons ventral	0.1	0	2	0.4	0.64, 0.12–3.26	0.59
Pons dorsal (tegmentum)	0.3	0	2	0.6	0.65, 0.16, 2.70	0.55
Total medulla oblongata	0.1	0	3	0.6
Medulla oblongata ventral	0	0	0	0	N/A	N/A
Medulla oblongata dorsal (tegmentum)	0.1	0	3	0.6	0.68, 0.20–2.31	0.54
Deep hemispheric lesions
Thalamus, BG, IC	2.9	0	11	2.8	1.11, 0.89–1.37	0.36
Total lesion loadØ	19.2	3	49	13.8	1.02, 0.96–1.08	0.49
DW
Grade 1
Total cerebral hemisphericΔ	9.0	0	40	8.5	1.04, 0.96–1.13	0.32
Total cerebellar¶	0.3	0	4	0.8	0.92, 0.40–2.09	0.84
Grade 2
Total corpus callosumΩ	2.6	0	12	2.5	1.01, 0.78–1.31	0.92
Grade 3
Total brainstemφ	0.8	0	3	1.0
Total mesencephalon	0.4	0	2	0.7
Crus cerebri	0	0	0	0	N/A	N/A
SN and mesencephalic tegmentum	0.2	0	1	0.4	0.67, 0.10–4.38	0.68
Mesencephalic tectum	0.2	0	2	0.5	0.73, 0.19–2.81	0.65
Total pons	0.4	0	2	0.6
Pons ventral	0.07	0	1	0.3	15.0, 0.7–312	0.08
Pons dorsal (tegmentum)	0.3	0	2	0.6	2.32, 0.67–7.96	0.19
Total medulla oblongata	0	0	0	0
Medulla oblongata ventral	0	0	0	0	N/A	N/A
Medulla oblongata dorsal (tegmentum)	0	0	0	0	N/A	N/A
Deep hemispheric lesions
Thalamus, BG, IC	1.2	0	5	1.4	2.59, 1.13–5.94	0.025
Total lesion loadØ	13.8	1	45	10.0	1.03, 0.97–1.10	0.33
SWI
Grade 1
Total cerebral hemisphericΔ	28.8	0	68	17.2	1.01, 0.96–1.06	0.65
Total cerebellar¶	1.0	0	7	2.0	1.26, 0.87–1.82	0.22
Grade 2
Total corpus callosumΩ	7.1	0	21	6.4	0.99, 0.89–1.11	0.92
Grade 3
Total brainstemφ	3.9	0	17	4.2
Total mesencephalon	2.7	0	12	3.3
Crus cerebri	1.1	0	6	1.7	1.70, 0.99–2.91	0.05
SN and mesencephalic tegmentum	1.0	0	5	1.6	2.46, 1.31–4.61	0.005
Mesencephalic tectum	0.6	0	5	1.2	2.81, 1.26–6.27	0.01
Total pons	1.1	0	5	1.6
Pons ventral	0.1	0	2	0.4	0.73, 0.14 – 3.76	0.71
Pons dorsal (tegmentum)	1.0	0	5	1.5	1.76, 1.03 – 2.99	0.04
Total medulla oblongata	0.2	0	3	0.7
Medulla oblongata ventral	0	0	0	0	N/A	N/A
Medulla oblongata dorsal (tegmentum)	0.2	0	3	0.7	0.93, 0.29 – 2.91	0.90
Deep hemispheric lesions
Thalamus, BG, IC	9.4	0	32	7.2	1.11, 0.90 – 1.37	0.33
Total lesion load Ø	44.9	11	85	21.1	1.02, 0.99 -	0.23

^ΔSum of lesions on both sides of midline in lobes of cerebral hemispheres.

^¶Sum of lesions on both sides of midline in cerebellum.

^ΩSum of lesions in genu, body and splenium of corpus callosum.

^φSum of lesions in all regions of the brainstem.

^ØSum of all regions of brain on both sides of midline.

^§Association with Glasgow Outcome Scale extended.

SD, standard deviation; OR, odds ratio; CI, confidence interval; T2^*GRE, T2^*-weighted gradient echo; SN, substantia nigra; DW, diffusion-weighted sequence; SWI, susceptibility-weighted imaging; BG, basal ganglia; IC, internal capsule; N/A, not available.

With the T2*GRE sequence, neither anatomical distribution nor the total lesion load was significantly associated with poor long-term outcome. Significant associations with long-term outcome in univariate analysis were seen for hemorrhagic lesions identified on SWI in the region corresponding to the substantia nigra and tegmentum of the mesencephalon, in the region corresponding to the tectum of the mesencephalon (p = 0.005, OR 2.46, 95% CI 1.31–4.61 and p = 0.01, OR 2.81, 95% CI 1.26–6.27), and in the dorsal pons (p = 0.04, OR 1.76, 95% CI 1.03 – 2.99). With the DW sequence, only lesions in the thalamus, basal ganglia, and internal capsule were significantly associated with long-term outcome (p = 0.025, OR 2.59, 95% CI 1.13–5.94).

Bilateral brainstem lesions were identified in 2/9 patients with brainstem lesions with the T2*GRE sequence, in 3/12 patients with brainstem lesions with the DW sequence, and in 10/16 patients with brainstem lesions with the SWI sequence. A significant association with long-term outcome was seen for hemorrhagic bilateral brainstem lesions with SWI (p = 0.03, OR 2.42, 95% CI 1.09–5.38).

Anatomical DAI grading

Distribution in Adams anatomical DAI grade using MRI is presented in Table 4. Twenty-one of 30 (70%) patients were grade 3 when patients were classified according to the sequence giving the highest grade. For hemorrhagic lesions, the SWI sequence identified significantly more DAI grade III patients than T2*GRE (p = 0.006). The overall DAI grade according to Adams was not significantly associated with long-term outcome neither using the T2*GRE, DW, or SWI sequences alone nor when the sequences were combined.

Table 4.

Distribution of the Adams Anatomical Grades Using Different Magnetic Resonance Imaging Sequences in 30 Patients with Severe Diffuse Axonal Injury^*

MRI sequence	No of cases (%)	OR, 95% CI	p value§
T2*	Available in 27 cases
Grade I	7 (25.9)	R	R
Grade II	11 (40.7)	0.67, 0.27–1.69	0.40
Grade III	9 (33.3)	1.07, 0.27–1.69	0.89
DW	Available in 29 cases
Grade I	5 (17.2)	R	R
Grade II	12 (41.4)	0.80, 0.31–2.03	0.64
Grade III	12 (41.4)	0.97, 0.39–2.43	0.95
SWI	Available in 25 cases
Grade I	1 (4)	R	R
Grade II	8 (32)	0.45, 0.09–2.11	0.31
Grade III	16 (64)	3.30, 0.77–14.19	0.11
Total grade†
Grade I	2 (6.7)	R	R
Grade II	7 (23.3)	0.68, 0.19–2.45	0.55
Grade III	21 (70)	1.52, 0.52–4.48	0.45

^*Association with long-term outcome (Glasgow coma scale extended [GOSE]) in ordinal univariate logistic regression.

^†Diffuse axonal injury grade when lesions in all sequences are combined

^§Association with GOSE.

OR, odds ratio; CI, confidence interval; R, reference category; T2^*GRE, T2^*-weighted gradient echo; DW, diffusion-weighted sequence; SWI, susceptibility-weighted imaging;

Inter-rater agreement

For DAI grading and for classification of substantia nigra or tegmental/tectal lesions in the mesencephalon, overall agreement was very good with Cohen κ >0.8, (mean 0.90, range 0.82–0.91). Intraclass correlation (ICC) calculations showed good agreement for quantification of total DAI-associated lesion load on all three sequences with ICC values >0.6 (mean 0.66, range 0.62–0.68).

NIC monitoring data

Monitoring data were available in 27 patients for MAP and heart rate, in 25 patients for ICP and CPP, and in 24 patients for body temperature. Mean PRx and ICP amplitude values were available in 24 patients. Mean proportion of GMT with ICP >20 mm Hg was 2.8 % (SD ±3.3%) during the first 5 days. The proportion of GMT with ICP >20 mm Hg was not associated with long-term outcome. Mean proportion of GMT with CPP <60 mm Hg was 3.8 % (SD ±3.5%). Proportion of GMT at CPP <60 mm Hg had a significant relation with long-term outcome, with better outcomes in patients with higher proportions of GMT at CPP <60 mm Hg (p = 0.007, OR 0.70, 95% CI 0.54–0.91) in univariate analysis.

Mean proportion of GMT was 2.8 % (SD ±2.8%) for MAP, <70 mm Hg, 0.4 % (SD ±0.5%) for heart rate >120 bpm, and 15.8 % (SD ±14.9%) for body temperature >38°C. The proportion of GMT with MAP <70 mm Hg, heart rate >120 bpm, and body temperature >38°C was not associated with long-term outcome.

Mean ICP amplitude in all patients was 5.6 mm Hg (SD ±2.0 mm Hg), indicating generally low brain compliance, but ICP amplitude had no association with long-term outcome. Mean PRx during the first 5 days was 0.007 (SD ±0.09). Six patients had a PRx more than 0.1, indicating possibly disturbed cerebrovascular pressure reactivity. Overall, there was little variation in PRx for these patients, and no association with long-term outcome was found.

Multivariate analysis for prognostic predictors of outcome

Factors significantly associated with long-term outcome on univariate analysis (Table 3) were used for multivariate analysis in ordinal logistic regression with the GOSE after 6 months as the dependent variable. The model yielded two factors with significant independent association with poor long-term outcome: number of lesions in the thalamus, basal ganglia, and internal capsule on the DW sequence (p = 0.039, OR 2.76, 95% CI 1.05–7.22) and number of lesions in the substantia nigra and mesencephalic tegmentum on SWI (p = 0.01, OR 2.31, 95% CI 1.22–4.37). A new model (Table 5) with these two MRI factors was computed including prognostic clinical factors found to be significantly associated with long-term outcome in the univariate analysis; i.e., age, GMS at admission, GMS at discharge, and proportion of GMT with CPP <60 mm Hg.

Table 5.

Odds Ratio Multiple Ordinal Logistic Regression, Dependent Glasgow Outcome Scale Extended

	Regression coefficient	Odds ratio	95% Confidence interval	p value
Age	0.16	1.18	1.05 – 1.32	0.005
Lesions in SN and mesencephalic tegmentum on SWI	1.51	4.51	1.48 – 13.78	0.008
Thalamic, BG, IC lesions on DW				N.S
Adams DAI grade				N.S
Marshall score				N.S
GMS at admission				N.S
GMS at discharge				N.S
CPP <60 mm Hg*				N.S

^*Proportion of good monitoring time during first 5 days.

SN, substantia nigra; SWI, susceptibility-weighted imaging; BG, basal ganglia; IC, internal capsule; DW, diffusion-weighted sequence; DAI, diffuse axonal injury; GMS, Glasgow Motor Score; CPP, cerebral perfusion pressure.

CT Marshall Score and overall DAI grade on MRI were also inserted in the logistic regression model. Higher age (p = 0.005, OR 1.18, 95% CI 1.05–1.32), and number of lesions in the substantia nigra and mesencephalic tegmentum on SWI (p = 0.008, OR 4.51, 95% CI 1.48–13.78) were the only factors found to have an independent association with worse long-term outcome in the combined multiple logistic regression model (Table 5).

For the development of a new MRI classification system, we also performed a multivariate analysis with factors found significantly associated with long-term outcome but with dichotomized age ≥/< 30 years and presence or no presence of hemorrhagic lesions in the substantia nigra and mesencephalic tegmentum (Table 6). This was made to enable a classification system that is simple to use.

Table 6.

Odds Ratio Multiple Ordinal Logistic Regression, Dependent Glasgow Outcome Scale Extended

	Regression coefficient	Odds ratio	95% confidence interval	p value
Age ≥30	1.29	3.64	1.35 – 9.84	0.011
Lesions in SN and mesencephalic tegmentum yes/no	1.30	3.69	1.33 – 10.2	0.012
Adams DAI grade				N.S
Marshall score				N.S
GMS at admission				N.S
GMS at discharge				N.S
CPP >60 mm Hg**				N.S

^*Age ≥/< 30 years and lesions in the substantia nigra and mesencephalic tegmentum yes/no dichotomized.

^**Proportion of good monitoring time during first 5 days.

SN, substantia nigra; DAI, diffuse axonal injury; GMS, Glasgow Motor Score.

CPP, cerebral perfusion pressure.

The age division was chosen based on the age distribution of the patient material (n = 17 < 30 years and n = 13 ≥ 30 years). Similar to the previous ordinal logistic regression above, we found that age ≥30 years (p = 0.011, OR 3.64, 95% CI 1.35–9.84) and the presence of hemorrhagic lesions in the substantia nigra and mesencephalic tegmentum (p = 0.012, OR 3.69, 95% CI 1.33–10.2) were the only factors with independent predictive value for a worse long-term outcome (Table 6).

Discussion

DAI was first described by Strich and colleagues²⁵ in 1956 and later characterized by the work of Adams and coworkers⁷ and Gennarelli and associates,⁹ linking the histopathological features of post-traumatic widespread damage of axons to angular or rotational acceleration-deceleration forces to the head causing stretching injury to brain tissue. MRI is the imaging modality of choice to detect hemorrhagic and nonhemorrhagic DAI-associated lesions in the clinical setting. In this study, a cohort of patients with severe TBI with DAI was examined with early MRI within 1 week after trauma, and correlation with outcome measured by GOSE after 6 months was assessed.

MRI sequences

The study included three MRI sequences evaluated in patients with severe TBI and DAI. DWI visualizes nonhemorrhagic lesions while T2*GRE and SWI both visualize hemorrhagic lesions. The SWI sequence is more effective in demonstrating susceptibility differences between tissues and therefore more sensitive to cerebral microhemorrhages than T2*GRE.²⁶ SWI has previously been demonstrated to show significantly more DAI-associated microhemorrhages than T2*GRE,²⁷ findings supported by the present study. SWI sequences are fast to acquire and may allow depiction of hemorrhagic lesions superior to T2*GRE.^28,29 The SWI sequence may be more difficult to interpret than T2*GRE and DWI sequences, because deoxygenated blood in veins can be misinterpreted as hemorrhagic lesions.

The evaluation of inter-rater agreement shows, however, similar high values for all three sequences, illustrating the robustness of the SWI technique even for less experienced raters. SWI also identified a significantly higher number of lesions than the DW sequence; direct comparison between these two sequences is misleading, however, because they in part visualize different lesion types.

In this study, we analyzed DW images, which are sensitized to motion on a molecular level, but we did not use apparent diffusion coefficient (ADC) maps in which diffusion has been calculated and visualized. On DW images, diffusion reduction caused by intracellular edema increases the signal intensity, but the signal intensity may also be increased by high T2 signal.

Diffusion tensor imaging (DTI), which measures the degree of anisotropy of water diffusion in white matter fibers, is a more sensitive measure for DAI-associated lesions.³⁰ Also, depicted lesions on DTI seem to be stable from the acute period up to 5 years post-injury.³¹ Assessment of DAI related changes with DTI, however, requires extensive post-processing techniques and statistical analysis, whereas this is not needed for the sequences used in this study. In addition, the sequences used in this study have the advantage of being widely available and well familiar to neuroradiologists.

The timing of MRI

Both nonhemorrhagic and hemorrhagic DAI lesions appear less conspicuous over time,^17,18 although residues of microhemorrhagic lesions may persist for months to years.^10,32 In this study, patients were examined with MRI within the first week post-injury, allowing improved anatomical grading and quantification of anatomical distribution for prediction of outcome. Although hemorrhagic lesions seem to persist beyond the acute period post-injury,^17,33 the timing of the MRI seems to be of particular importance when evaluating DWI sequences. Studies evaluating the evolution of DWI lesions within the first month of trauma in severe TBI are lacking.

In stroke patients, however, the ADC of lesion has been found to decrease until the fourth day, then gradually increase during the first week post-stroke to pseudonormal during the second week and to supranormal thereafter.³⁴ Therefore lesions may be isointense to brain parenchyma and not depicted on DWI if the MRI is performed beyond the first week post-injury. The optimal timing for MRI after TBI for predicting outcome needs to be further elucidated in future studies, but likely, it should preferably be performed within the first week post-injury for reliable prognostication.

Anatomical localization and long-term outcome

This study included an anatomical localization of DAI-associated lesions. Lesions were commonly found in the frontal and temporal lobes of the cerebral hemispheres as well as in the body and splenium of the corpus callosum. Brainstem lesions were seen in a high proportion of patients, mainly in the mesencephalon and the upper pons. In addition, lesions in central supratentorial areas as the thalamus, basal ganglia, and internal capsule were frequently identified, particularly on SWI sequences.

The number of lesions in the cerebral hemispheres, cerebellum, and corpus callosum did not show any significant association to long-term outcome. In a study by Moen and colleagues³⁵ that included 128 patients with TBI examined with MRI within 0–28 days, DWI lesions in the corpus callosum were the most important predictive MRI variable in contradiction to the results in this report. That study, however, included a heterogeneous cohort of moderate and severe TBI, with evacuated mass lesions in 31% of patients with severe TBI. Direct comparison with this study is therefore difficult. Radiological methods were also different. They used ADC maps to see diffusion abnormalities and T2-weighted fluid attenuated inversion recovery images to see other lesions. SWI sequences were not included, which may explain the lower number of identified brainstem lesions.

Deep supratentorial lesions in basal ganglia, internal capsule, and especially in the thalamus have been proposed to predict poor outcomes.³⁵ Thalamic lesions have also been suggested as a primary feature of the vegetative state.^4,36 This association with long-term outcome could be seen in deep supratentorial lesions with DW sequences, but the association lost significance after adjustment for other prognostic factors in our study. DAI-associated lesions in the mesencephalon identified on SWI sequences had a strong association with poor long-term outcome in univariate analysis. After adjustment for other prognostic factors, however, only DAI-associated lesions in the region of the substantia nigra and the tegmentum of the mesencephalon showed an independent prognostic value.

The role of brainstem lesions in DAI and in severe TBI in general has been discussed in multiple studies.^3,37–39 It is debated whether the different anatomical localizations are the result of distinct injury mechanisms. Superficial brainstem lesions may be the effect of brainstem impact at the tentorial edge, whereas deep located lesions may represent a true traumatic axonal injury mechanism and therefore have a stronger relation to poor long-term outcome.⁴⁰

The general value of the location of hemorrhagic lesions in the brainstem after DAI for prognosis is still uncertain, but deep posterior and bilateral lesions have been proposed to be particularly related to poor outcomes.^3,40,41 No previous study, however, has included a clear definition of lesion location in the mesencephalon and upper pons where traumatic axonal injuries were predominantly found. In our study, the mesencephalon was anatomically divided into three regions: (1) crus cerebri, (2) substantia nigra and mesencephalic tegmentum, and (3) mesencephalic tectum. Lesions in crus cerebri and the tectum represented a more superficial location and did not show significant association with poor long-term outcomes in the multivariate analysis. More deeply located lesions in the region corresponding to the substantia nigra and the mesencephalic tegmentum, however, had an independent prognostic value. Further, previous studies are mainly based on lesions seen with T2*GRE,^3,35,37–39 and, to our knowledge, this is the first study to evaluate the role of anatomical location of brainstem lesions on SWI in DAI.

With the increased sensitivity for detection of hemorrhagic lesions compared with T2*GRE, SWI gives the possibility of convenient anatomical localization of brainstem lesions. It is possible that lesions in the central region of the mesencephalon may be missed when only T2*GRE is used, and this study concludes that they have strong association with poor outcome.

Anatomical DAI grading

In this study, the widely used histopathological grading system of Adams and coworkers⁷ introduced in 1989 was applied to modern MRI imaging. In this patient cohort with severe TBI and DAI, 70% of patients showed hemorrhagic or nonhemorrhagic lesions in the brainstem consistent with DAI grade 3. This is slightly higher than in previous studies reporting brainstem injuries in approximately half of patients with severe TBI,^3,42 likely explained by the inclusion of SWI sequences yielding a higher sensitivity for hemorrhagic brainstem lesions.

DAI grading according to Adams and coworkers,⁷ however, did not show significant relation to long-term outcome. Thus, this DAI grading alone seems to have unreliable prognostic significance in patients with severe DAI who present with deep unconsciousness, in which lesions in deeper locations including the brainstem seem to be a common finding. Further subdivision of DAI-associated brainstem lesions is therefore warranted for predicting outcomes. This study identified the presence of lesions in the substantia nigra and the tegmentum of the mesencephalon as a promising indicator of poor long-term outcome. The presence or absence of these lesions can be used to complement the DAI grading system of Adams and associates.⁷

Prognostic impact of clinical factors

Age is a well-studied prognostic factor in TBI, where multiple studies have shown higher mortality and poorer long-term outcomes in older patients. Age adds an increasing probability of poor long-term outcome in a continuous fashion.^43–45 In this study, mean age of patients was 31.2 years (range 16–60), thus a younger than the general population in severe TBI.^46–48 Age was a strong independent prognostic factor of poor long-term outcome after adjustment for other prognostic factors, both as a continuous variable and as a dichotomized category of age below and above 30 years. These findings may indicate a decrease in brain plasticity and resilience to severe traumatic axonal injury with increasing age.

An association between poor long-term outcome and decreased level of consciousness measured with GMS at admission and discharge was seen in univariate analysis. The study did not show any independent prognostic predictive value of GMS after adjustment for other factors, however. Generally, DAI is acquired after a high energy motor vehicle accident, where injuries to multiple organ systems are not uncommon. This is emphasized by the relatively high mean Injury Severity Score⁴⁹ (24.3, range 16–45) and number of patients with extracranial injury (22 of 30 patients) in this patient cohort, which complicates the GCS evaluation.

Extended anatomical MRI classification

A number of MRI-based classification systems have been proposed in severe TBI. In the classification system of Firsching and colleagues,⁴² brainstem injuries were classified according to their rostrocaudal and unilateral or bilateral extent in the brainstem, independent of degree of supratentorial injuries. A more recent study added a mechanism-based approach to this classification scheme, including mechanism of brainstem injury to the classification.⁵⁰ Whereas these classification systems included patients with brainstem injuries after both focal and diffuse TBI, our system is focused on DAI.

To our knowledge, there is currently no other classification system for DAI differentiating anatomical lesion location in the brainstem. The Adams classification system,⁷ the most widely used classification for DAI, seems to lack prognostic value in patients with DAI who present with deep unconsciousness. Therefore, a new classification system is needed for better prediction of outcome in these patients.

From the results of this study, we propose an extended classification system for DAI based on the DAI grading system of Adams and associates⁷ that is simple to use and adds significant prognostic value. Age ≥30 years and lesions in the substantia nigra or mesencephalic tegmentum were included in the MRI-based classification, and DAI was classified in four stages with age-based subdivision (Table 7 and Fig. 2A–D). This classification needs further validation, and we are currently including additional patients with severe TBI and DAI to validate the classification system.

Table 7.

Extended Magnetic Resonance Imaging Classification System for Diffuse Axonal Injury and Distribution of Patient Outcomes in Different Stages of Diffuse Axonal Injury Measured by Glasgow Outcome Scale Extended after >6 months

	Age <30	Age ≥30	GOSE
Stage I Hemispheric lesions	Ia	Ib	Ia: No cases Ib: GOSE 5-6 (n = 2)
Stage II Corpus callosum lesions	IIa	IIb	IIa: GOSE 7-8 (n = 2) GOSE 5-6 (n = 2) IIb: GOSE 5-6 (n = 1) GOSE 3-4 (n = 1)
Stage III Brainstem lesions†	IIIa	IIIb	IIIa: GOSE 7-8 (n = 5) GOSE 5-6 (n = 1) GOSE 3-4 (n = 1) IIIb: GOSE 7-8 (n = 1) GOSE 5-6 (n = 2) GOSE 3-4 (n = 1)
Stage IV Lesions in SN or mesencephalic tegmentum	IVa	IVb	IVa: GOSE 7-8 (n = 1) GOSE 5-6 (n = 2) GOSE 3-4 (n = 2) IVb: GOSE 5-6 (n = 1) GOSE 3-4 (n = 3) GOSE 1-2 (n = 1)

^†Substantia nigra and mesencephalic tegmentum excepted.

GOSE, Glasgow Outcome Scale extended; SN, substantia nigra.

FIG. 2.

(A) Diffuse axonal injury (DAI) stage I: susceptibility-weighted imaging (SWI) of a 19-year-old male involved in a motor vehicle accident. The image reveals hemorrhagic lesions in the supratentorial white matter. Patient had a good recovery (Glasgow Outcome Scale extended [GOSE] 7) >6 months after trauma. (B) DAI stage II: SWI image of a 23-year-old male involved in a motor vehicle accident. The image reveals hemorrhagic lesions in the splenium and body of the corpus callosum. The patient was moderately disabled (GOSE 6) >6 months after trauma. (C) DAI stage III: SWI image of an 18-year-old male involved in a motor vehicle accident. The image reveals hemorrhagic lesions in the dorsal part of the upper pons. The patient was moderately disabled (GOSE 5) >6 months after trauma. (D) DAI stage IV: SWI image of a 35-year-old female involved in a horseback riding accident. The image reveals hemorrhagic lesions in the left crus cerebri and in the substantia nigra. The patient was severely disabled (GOSE 3) >6 months after trauma.

In addition, the classification system could be confounded by a number of study limitations. First, the number of patients is small, and the three MRI sequences included in the evaluation were not available in all patients, which may limit the conclusions that can be drawn by the study. Further, it is possible that the findings may have been biased by patient selection, because a number of patients with suspected DAI by clinical and CT criteria could not be examined with MRI early. The independent association with poor long-term outcome of age ≥30 and lesions in the region of the substantia nigra and mesencephalic tegmentum found in this patient material, however, justifies preliminary use of this classification system for predicting patient outcome.

Conclusions

In this study, 30 patients with severe TBI and DAI were evaluated with MRI within 1 week after trauma. The SWI sequence was superior to the T2*GRE and DW sequences in identifying DAI-associated lesions in the early phase after severe DAI. Lesions in the brainstem in conjunction with hemispheric and corpus callosum lesions were identified in a large proportion of patients. The DAI grading using the classification system proposed by Adams and coworkers,⁷ however, did not correlate significantly with outcome.

Only advanced age and brainstem lesions anatomically localized in the substantia nigra and the tegmentum of the mesencephalon identified by SWI sequences had an independent prognostic value for predicting poor long-term outcome after adjustment for other factors. Based on the findings from this study, we propose a new extended anatomical MRI classification system in patients with DAI for early prediction of outcome.

Author Disclosure Statement

No competing financial interests exist.