Inter- and Intraobserver Agreement of Morphological Grading for Central Lumbar Spinal Stenosis on Magnetic Resonance Imaging.

Study Design Validation study of a morphological grading system for central lumbar spinal stenosis. Objective To evaluate and validate the inter- and intraobserver agreement of a morphological grading system for central lumbar spinal stenosis on magnetic resonance imaging between neurosurgeons and radiologists. Methods Two neurosurgeons and two radiologists independently assessed the morphological grading of lumbar spinal stenosis on pretreatment magnetic resonance imaging of 84 patients. Inter- and intrarater agreements were calculated by comparing the observers' evaluations level to level on the grading method. The results of both clinicians were compared with the assessment of both radiologists. Results On axial magnetic resonance images, 189 lumbar disk levels were evaluated for the grade of stenosis. The interobserver agreement between the clinicians was substantial. The interobserver agreement between clinician 1 and both radiologists was substantial, and it was moderate between clinician 2 and both radiologists. The clinicians' intraobserver agreement was almost perfect, and the radiologists' intraobserver agreement was substantial. Conclusions The interobserver agreement of this morphological grading for lumbar spinal stenosis was high between both the clinicians and radiologists, whereas the intraobserver agreement was almost perfect. Experienced clinicians may safely evaluate lumbar magnetic resonance images using this morphological grading for central lumbar spinal stenosis.

Surgically acquired deficits and diffusion weighted MRI changes after glioma resection--a matched case-control study with blinded neuroradiological assessment.

BACKGROUND: Acquired deficits following glioma resection may not only occur due to accidental resection of normal brain tissue. The possible importance of ischemic injuries in causing neurological deficits after brain tumor surgery is not much studied. We aimed to study the volume and frequency of early postoperative circulatory changes (i.e. infarctions) detected by diffusion weighted resonance imaging (DWI) in patients with surgically acquired neurological deficits compared to controls. METHODS: We designed a 1 ∶ 1 matched case-control study in patients with diffuse gliomas (WHO grade II-IV) operated with 3D ultrasound guided resection. 42 consecutive patients with acquired postoperative dysphasia and/or new motor deficits were compared to 42 matched controls without acquired deficits. Controls were matched with respect to histopathology, preoperative tumor volumes, and eloquence of location. Two independent radiologists blinded for clinical status assessed the postoperative DWI findings. RESULTS: Postoperative peri-tumoral infarctions were more often seen in patients with acquired deficits (63% versus 41%, p = 0.046) and volumes of DWI abnormalities were larger in cases than in controls with median 1.08 cm3 (IQR 0-2.39) versus median 0 cm3 (IQR 0-1.67), p = 0.047. Inter-rater agreement was substantial (67/82, κ = 0.64, p<0.001) for diagnosing radiological significant DWI abnormalities. CONCLUSION: Peri-tumoral infarctions were more common and were larger in patients with acquired deficits after glioma surgery compared to glioma patients without deficits when assessed by early postoperative DWI. Infarctions may be a frequent and underestimated cause of acquired deficits after glioma resection. DWI changes may be an attractive endpoint in brain tumor surgery with both good inter-rater reliability among radiologists and clinical relevance.

Prognostic value of pretreatment dynamic contrast-enhanced MR imaging in breast cancer patients receiving neoadjuvant chemotherapy: overall survival predicted from combined time course and volume analysis.

BACKGROUND: The prognostic value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in breast cancer has been explored, and the results are promising. PURPOSE: To investigate the possible correlation between pretreatment DCE-MRI and overall survival 5 years after diagnosis in breast cancer patients receiving neoadjuvant chemotherapy (NAC) using combined time course analysis and volume measurement from DCE-MRI data acquired with 1 min temporal resolution. MATERIAL AND METHODS: Pretreatment DCE-MR images of 32 female patients were examined. The total enhancing volume was calculated by including the voxels with >60% signal enhancing 1 min postcontrast. The signal intensity time course data were automatically classified on a voxel-by-voxel basis according to the enhancing characteristics: persistent (type I), plateau (type II) or washout (type III), and the resulting volumes of each enhancement type were calculated. RESULTS: A significant correlation between total enhancing volume and 5-year survival was found, P=0.05 (log-rank). The survival was 51 +/-15 months (mean +/-95% confidence intervals (CI)) and 73+/-12 months in patients with a total enhancing volume >41 cm(3) and < or =41 cm(3), respectively. A two-dimensional discriminator, taking both total enhancing volume and type III enhancing volume into account, improved the prediction of survival, resulting in a P value (log-rank) between survivors and non-survivors of <0.001. The survival was 44+/-16 months (mean +/-95% CI) and 74+/-11 months in patients with a total enhancing volume >58 cm(3) and/or a type III volume >8 cm(3), and < or =58 cm(3) and < or =8 cm(3), respectively. CONCLUSION: Pretreatment DCE-MRI might help in predicting prognosis in breast cancer patients receiving NAC.

Symptoms of epilepsy and organic brain dysfunctions in patients with acute, brief depression combined with other fluctuating psychiatric symptoms: a controlled study from an acute psychiatric department.

BACKGROUND: In psychiatric acute departments some patients present with brief depressive periods accompanied with fluctuating arrays of other psychiatric symptoms like psychosis, panic or mania. For the purpose of the present study we call this condition Acute Unstable Depressive Syndrome (AUDS). The aims of the present study were to compare clinical signs of organic brain dysfunctions and epilepsy in patients with AUDS and Major Depressive Episode (MDE). METHODS: Out of 1038 consecutive patients admitted to a psychiatric acute ward, 16 patients with AUDS and 16 age- and gender-matched MDE patients were included in the study. Using standardized instruments and methods we recorded clinical data, EEG and MRI. RESULTS: A history of epileptic seizures and pathologic EEG activity was more common in the AUDS group than in the MDE group (seizures, n = 6 vs. 0, p = 0.018; pathologic EEG activity, n = 8 vs. 1, p = 0.015). Five patients in the AUDS group were diagnosed as having epilepsy, whereas none of those with MDE had epilepsy (p = 0.043). There were no differences between the groups regarding pathological findings in neurological bedside examination and cerebral MRI investigation. CONCLUSION: Compared to patients admitted with mood symptoms fulfilling DSM 4 criteria of a major depressive disorder, short-lasting atypical depressive symptoms seem to be associated with a high frequency of epileptic and pathologic EEG activity in patients admitted to psychiatric acute departments. TRIAL REGISTRATION: NCT00201474.

Predicting survival and early clinical response to primary chemotherapy for patients with locally advanced breast cancer using DCE-MRI.

PURPOSE: To evaluate dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) as a tool for early prediction of response to neoadjuvant chemotherapy (NAC) and 5-year survival in patients with locally advanced breast cancer. MATERIALS AND METHODS: DCE-MRI was performed in patients scheduled for NAC (n = 24) before and after the first treatment cycle. Clinical response was evaluated after completed NAC. Relative signal intensity (RSI) and area under the curve (AUC) were calculated from the DCE-curves and compared to clinical treatment response. Kohonen and probabilistic neural network (KNN and PNN) analysis were used to predict 5-year survival. RESULTS: RSI and AUC were reduced after only one cycle of NAC in patients with clinical treatment response (P = 0.02 and P = 0.08). The mean and 10th percentile RSI values before NAC were significantly lower in patients surviving more than 5 years compared to nonsurvivors (P = 0.05 and 0.02). This relationship was confirmed using KNN, which demonstrated that patients who remained alive clustered in separate regions from those that died. Calibration of contrast enhancement curves by PNN for patient survival at 5 years yielded sensitivity and specificity for training and testing ranging from 80%-92%. CONCLUSION: DCE-MRI in locally advanced breast cancer has the potential to predict 5-year survival in a small patient cohort. In addition, changes in tumor vascularization after one cycle of NAC can be assessed.

Metabolic profiling of human brain metastases using in vivo proton MR spectroscopy at 3T.

BACKGROUND: Metastases to the central nervous system from different primary cancers are an oncologic challenge as the overall prognosis for these patients is generally poor. The incidence of brain metastases varies with type of primary cancer and is probably increasing due to improved therapies of extracranial metastases prolonging patient's overall survival and thereby time for brain metastases to develop. In addition, the greater access to improved neuroimaging techniques can provide earlier diagnosis. The aim of this study was to investigate the feasibility of using proton magnetic resonance spectroscopy (MRS) and multivariate analyses to characterize brain metastases originating from different primary cancers, to assess changes in spectra during radiation treatment and to correlate the spectra to clinical outcome after treatment. METHODS: Patients (n = 26) with brain metastases were examined using single voxel MRS at a 3T clinical MR system. Five patients were excluded due to poor spectral quality. The spectra were obtained before start (n = 21 patients), immediately after (n = 6 patients) and two months after end of treatment (n = 4 patients). Principal component analysis (PCA) and partial least square regression analysis (PLS) were applied in order to identify clustering of spectra due to origin of metastases and to relate clinical outcome (survival) of the patients to spectral data from the first MR examination. RESULTS: The PCA results indicated that brain metastases from primary lung and breast cancer were separated into two clusters, while the metastases from malignant melanomas showed no uniformity. The PLS analysis showed a significant correlation between MR spectral data and survival five months after MRS before start of treatment. CONCLUSION: MRS determined metabolic profiles analysed by PCA and PLS might give valuable clinical information when planning and evaluating the treatment of brain metastases, and also when deciding to terminate further therapies.

Perfusion abnormalities in pulmonary embolism studied with perfusion MRI and ventilation-perfusion scintigraphy: an intra-modality and inter-modality agreement study.

PURPOSE: To compare perfusion magnetic resonance imaging (MRI) and ventilation-perfusion scintigraphy (V-P scan) in the study of perfusion abnormalities in pulmonary embolism (PE) and to compare the PE results to the findings previously reported for pneumonia and chronic obstructive pulmonary disease (COPD), in terms of perfusion abnormalities. MATERIALS AND METHODS: Dynamic contrast-enhanced MR images and V-P scans of 20 patients with PE, 11 patients with acute pneumonia, and 13 patients with exacerbation of COPD were studied. Five categories of perfusion abnormalities within each imaging modality were defined. Intra- and inter-modality agreement (kappa values) in the evaluation of perfusion abnormalities were calculated, based on the two observers of each imaging modality (all blinded to each other and true diagnosis). Finally, three categories of perfusion MRI diagnosis (PE, pneumonia, and COPD) were also defined and the inter-observer agreement (kappa value) was calculated. RESULTS: For PE, the intra-modality agreement (kappa value) in the evaluation of perfusion abnormalities was 0.77 for MRI and 0.65 for V-P scan. The inter-modality agreement varied from 0.52 to 0.57, respectively, and was observer-dependent. For the pooled group of PE, pneumonia, and COPD, the intra-modality agreement of perfusion abnormalities was 0.76 for MRI and 0.65 for V-P scan, and the inter-modality agreement varied from 0.51 to 0.56. The kappa value for inter-observer agreement for MRI diagnosis was 0.92. CONCLUSION: Evaluation of perfusion abnormalities in PE, pneumonia, and COPD using perfusion MRI and V-P scan showed a high intra-modality agreement that was higher than the inter-modality agreement. Further studies are now needed in patients presenting with possible PE to evaluate the sensitivity and specificity of the method.