Intellispace portal workstation

Manufactured by Philips

Sourced in Netherlands

The Intellispace Portal workstation is a medical imaging software platform from Philips that provides a comprehensive suite of tools for viewing, analyzing, and interpreting medical images. The core function of the Intellispace Portal is to enable healthcare professionals to efficiently manage and interpret medical data from various imaging modalities, including CT, MRI, and PET scans.

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Lab products found in correlation

Ingenia, by Philips (3 mentions)

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IntelliSpace Portal (169 citations) IntelliSpace workstation (7 citations)

13 protocols using intellispace portal workstation

Cerebrovascular Stenosis Assessment via HR-MRI

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All parameters measurements were performed on Philips Intellispace Portal workstation. We magnified the short axial PDWI images to 300% and measured the vessel area (VA), lumen area (LA) of MCA at the most narrowed lumen (MNL) and at the reference site. The reference site was the nearest plaque-free or minimally diseased segments proximal to the stenotic MCA. If a proximal reference site was not available, then the neighboring distal site was used instead.
The degree of stenotic MCA on HR-MRI was calculated using the following formula: degree of stenosis = (1- luminal area at the MNL site/ reference lumen area) x 100%. The wall area (WA) = VA–LA, the plaque area (PA) = WA_MNL–WA_reference, the remodeling index (RI) = VA_MNL/VA_reference. We defined RI ≥ 1.05 as PR, RI ≤ 0.95 as NR, 0.95 < RI < 1.05 as non-remodeling. The measurement work was done by two professional radiologists (W-D Z and JS) who were blinded to clinical details in 2 days after scanning, and then the average value was calculated and applied. The slice for measurement was agreed between two observers.

Zhang D.F., Chen Y.C., Chen H., Zhang W.D., Sun J., Mao C.N., Su W., Wang P, & Yin X. (2017). A High-Resolution MRI Study of Relationship between Remodeling Patterns and Ischemic Stroke in Patients with Atherosclerotic Middle Cerebral Artery Stenosis. Frontiers in Aging Neuroscience, 9, 140.

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Quantitative Assessment of Needle Track Bleeding in CT-Guided Lung Biopsy

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Biopsy puncture images were reviewed by another medical imaging expert specializing in chest disease diagnosis. The images were analyzed using Philips' IntelliSpace Portal workstation, set to Lung window (window width: 1600 Hu, window level: − 600Hu) with a 2 mm slice thickness and 2 mm inter-slice distance.
NTB manifests as pulmonary hemorrhage along the needle trajectory, confirmed by post-biopsy CT revealing new consolidative or ground-glass opacities (Fig. 2). A critical aspect of this investigation involved the quantitative evaluation of the width of NTB across all patients, regardless of the presence of pneumothorax. This measurement was carried out employing a straight-line tool on the last axial CT images and documented the maximal width of NTB at three distinct time intervals. An average maximal width was then calculated from these measurements, retaining only integer results for subsequent analysis.Figure 2

Needle track blooding (NTB) width measurement. (a) NTB with minor pneumothorax: A 4.9 mm ground-glass opacity along the needle path is seen post-biopsy after CT-PTLB on a left upper lobe mass, diagnosed as Adenocarcinoma. (b) NTB without pneumothorax: post-biopsy shows a 15.4 mm ground-glass and consolidative opacity after CT-TPLB on right middle lobe nodule, with no pneumothorax, diagnosed also as lung adenocarcinoma.

Zhou S.Q., Luo F., Li K., Ran X, & Lv F.R. (2023). Association between needle track bleeding and postoperative immediate pneumothorax in CT-guided percutaneous transthoracic lung biopsies: a cross-sectional study. Scientific Reports, 13, 18811.

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Quantitative Analysis of Spectral CT Imaging

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The effects of virtual monochromatic Spectral CT imaging, degree of metal artefacts and effectiveness in metal artefact reduction were quantified by analysing CT numbers, noise values, SNRs and CNRs within fixed regions of interest (ROIs) placed in and around the pellets (Fig. 2). The quantitative analysis was executed using the image-processing programs ImageJ (version 1.48 v) and Matlab ® (version 2014b). A standardized measurement template mask was developed and used for each scan in order to enhance the reliability of the measurements. The coronal slice aligned at the middle of the pellets was stored at a Philips Intellispace Portal Workstation. A single coronal slice was loaded into ImageJ where a template was manually created with 9 left pellet ROIs (L0-L8) and 9 right pellet ROIs (R0-R8) (Fig. 2a). Matlab was used to perform the actual quantitative measurements. Pellet ROIs had a diameter of 14.7 pixels or 6.6 mm thus mitigating partial volume effects. The number of pixels of background ROIs was matched to the number of pixels of pellet ROIs. Fig. 2b illustrates a single pellet with its inner pellet ROI 1 and surrounding background ROI 2. CT numbers were calculated by measuring mean pixel intensities within local ROIs (Eq. ( 1)). Noise was measured by calculating the standard deviation of pixels in an ROI of a uniform section of the image (Eq. ( 2)).

Wellenberg R.H., Boomsma M.F., van Osch J.A., Vlassenbroek A., Milles J., Edens M.A., Streekstra G.J., Slump C.H, & Maas M. (2017). Quantifying metal artefact reduction using virtual monochromatic dual-layer detector spectral CT imaging in unilateral and bilateral total hip prostheses. European journal of radiology, 88.

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Measuring Left Atrial Appendage Orifice

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The long diameter (D1) and short diameter (D2) of the LAA orifice were measured by a Philips IntelliSpace Portal workstation. The LAA orifice was manually cross-sectioned from the multiplanar reconstruction image, and the orifice area was determined by its narrowest part. By creating a plane perpendicular to the axis of the left atrial ear neck, a cross-sectional view of the LAA is generated (Fig. 6). The formula 0.785*D1*D2 was used to calculate the LAA orifice area [16 (link)].
Fig. 6

Measurement of the length and short diameter of the left atrial appendage orifice

Chen L., Xu C., Chen W, & Zhang C. (2021). Left atrial appendage orifice area and morphology is closely associated with flow velocity in patients with nonvalvular atrial fibrillation. BMC Cardiovascular Disorders, 21, 442.

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Multimodal MRI Assessment of TBI

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MRI was used for the determination of the blood–brain barrier (BBB) breakdown (volume transfer constant - K_trans), DWI, and T2 at 48 h following TBI, as described previously [59 ]. Measurements were performed in the injured hemispheres and in the symmetric area of the contralateral hemisphere in the penumbra area in close proximity to the necrotic core. A 3 T MRI was used (Ingenia, Philips Medical Systems, Best, The Netherlands) using an eight-channel receive-only coil. The Intellispace Portal workstation (V5.0.0.20030, Philips Medical Systems, Best, The Netherlands) was used for the post-processing of the permeability and perfusion studies. For a complete technical MRI protocol, see Supplement 1.

Boyko M., Gruenbaum B.F., Shelef I., Zvenigorodsky V., Severynovska O., Binyamin Y., Knyazer B., Frenkel A., Frank D, & Zlotnik A. (2022). Traumatic brain injury-induced submissive behavior in rats: link to depression and anxiety. Translational Psychiatry, 12, 239.

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Quantitative Cerebrovascular Imaging Protocol

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Quantitative measurements were performed on Philips Intellispace Portal workstation (Philips Medical Systems Netherlands B.V.). One reader (X.W. with 4 years’ experience in neuroimaging) manually drew circular regions of interest (ROIs) as large as possible in the center of the main cerebral arteries on axial images. Care was taken to avoid atherosclerotic plaque and false registration of the vessel wall (Fig. 1). ROIs were placed in the cavernous segment of the internal cerebral artery (ICA), the M1 segment of the middle cerebral artery (MCA), the trunk of the basilar artery (BA), and the V4 segment of the vertebral artery (VA). Image noise was determined as the standard deviation of the CT attenuation of the brain parenchyma. All measurements were performed 3 times bilaterally for each patient and the averages were used for further calculation. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated as: SNR = vascular attenuation/image noise and CNR = vaucular contrast/image noise. Vascular contrast was calculated as the average vascular attenuation minus the average brain parenchyma attenuation.

Wang X., Zhu C., Li J., Degnan A.J., Jiang T, & Lu J. (2018). Knowledge-based iterative model reconstruction: Comparative image quality with low tube voltage cerebral CT angiography. Medicine, 97(30), e11514.

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Quantifying Disc Degeneration: MRI-Based Techniques

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We generated FA maps using Fibre Track software (Philips Healthcare, BEST, The Netherlands) provided with the MRI equipment. FA maps of the AF and NP were co‑registered with T2 images. We analyzed the T2 relaxometry maps by region of interest (ROI) in the NP at five disc levels using T2 Map Software (IntelliSpace Portal workstation, Philips Healthcare), which generated color-coded T2 maps. ROIs were placed in the NP, avoiding end-plate regions and the disc periphery to generate FA (AF/NP) ratios and T2 values for the NP. We calculated the T2 values and FA (AF/NP) ratios for the control and patient groups for the statistical analysis.

Vadapalli R., Mulukutla R., Vadapalli A.S, & Vedula R.R. (2019). Quantitative Predictive Imaging Biomarkers of Lumbar Intervertebral Disc Degeneration. Asian Spine Journal, 13(4), 527-534.

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Multimodal MRI Imaging for TBI

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MRI was utilized for T2 and diffusion-weighted imaging at 72 h following TBI, as described previously [43 (link)]. A 3 T MRI was used (Ingenia, Philips Medical Systems, Best, The Netherlands) using an eight-channel receive-only coil. The Intellispace Portal workstation (V5.0.0.20030 Philips Medical Systems, Best, The Netherland) performed the post-processing of the permeability and perfusion studies.

Frank D., Gruenbaum B.F., Shelef I., Zvenigorodsky V., Severynovska O., Fleidervish I., Knyazer B., Frenkel A., Zlotnik A., Kofman O, & Boyko M. (2023). Blood glutamate scavenging as a novel glutamate-based therapeutic approach for post-traumatic brain injury anxiety and social impairment. Translational Psychiatry, 13, 41.

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Skeletal Muscle Index Measurement Protocol

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The skeletal muscle index (SMI, cm²/m²) was used to assess
skeletal muscle mass status and was calculated as the muscle area
(cm²) measured at the L3 level after adjusting for height
(m²).^{22 (link)} Two independent radiologists (F.H.W. and C.S.Z. with 6-
and 30-year imaging experience, respectively) manually delineated the region of
interest of skeletal muscles on axial CT or MRI at the middle level of the L3
vertebra on the Phillips Intelli Space Portal workstation (version 10.1, Best,
the Netherlands) (Figure
1). The muscles included the psoas, rectus, transversus abdominis,
internal and external oblique, quadratus lumborum, longissimus thoracis,
iliocostalis lumborum, and spinalis thoracis; the intramuscular fat area was
excluded. Any disagreements were resolved by consensus. The total muscle area
was measured, and the average was calculated for subsequent analysis.
The optimal cutoff points for SMI classification were determined using the X-tile
software (Yale University School of Medicine, New Haven, Connecticut, USA),
which provided a simple and comprehensive approach to dividing cohorts into
low-level and high-level marker expressions based on survival or PFS
outcomes.^{23 (link),24 (link)} Based on these cutoff values, the patients in this
study were divided into sarcopenia and non-sarcopenia groups.

Guo Y., Ren Y., Wu F., Dong X, & Zheng C. (2022). Prognostic impact of sarcopenia in patients with hepatocellular carcinoma treated with PD-1 inhibitor. Therapeutic Advances in Gastroenterology, 15, 17562848221142417.

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Diffusion Tensor Imaging of Neurological Injury

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A 3-T MRI machine (Ingenia, Philips Medical Systems, Best, The Netherlands) with an eight-channel receive-only coil was used to perform DWI at 48 h following the intervention, as described previously [22 (link)]. The animals were maintained under general anesthesia (1.5% isoflurane in oxygen). Diffusion tensor imaging in 6 directions was conducted axially using a multi-shot, spin-echo, echo-planar sequence with TR/TE = 1419/138 msec and an epi factor of 19, a SENSE factor of 1.5, a b-factor of 1000 s/mm², and spectrally selective fat suppression. Seven slices were acquired with zero gaps. The resolution (freq × phase × slice) was 0.55 × 0.55 × 2.0 mm. Five signal averages were collected for a scan time of 11:19 min. The Intellispace Portal workstation (V5.0.0.20030, Philips Medical Systems, Best, The Netherlands) was used for the post-processing of the permeability and perfusion studies.

Frank D., Gruenbaum B.F., Zvenigorodsky V., Shelef I., Oleshko A., Matalon F., Tsafarov B., Zlotnik A., Frenkel A, & Boyko M. (2024). Establishing a 3-Tesla Magnetic Resonance Imaging Method for Assessing Diffuse Axonal Brain Injury in Rats. International Journal of Molecular Sciences, 25(8), 4234.

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