Vereos ingenuity

Manufactured by Philips

Sourced in Netherlands

The Vereos-Ingenuity is a diagnostic imaging system designed for medical professionals. It provides high-quality imaging capabilities to support accurate diagnoses and informed clinical decisions. The system's core function is to capture and process images for medical analysis and interpretation.

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Lab products found in correlation

Intellispace portal 8, by Philips (2 mentions) Dose right, by Philips (1 mentions) 3d dom, by Philips (1 mentions) Z dom, by Philips (1 mentions)

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Vereos

5 protocols using vereos ingenuity

CT Imaging and Scoring of Lung Lesions

Cited 2 times

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Lung images were acquired using a computed tomography (CT) system (Vereos-Ingenuity, Philips) as previously described^{25 (link),26 (link)}, andanalysed using INTELLISPACE PORTAL 8 software (Philips Healthcare). All images had the same window level of enuity, window width of 1,600. Lesions were defined as ground glass opacity, crazy-paving pattern, consolidation or pleural thickening as previously described^{35 (link),55 (link)}. Lesions and scoring were assessed in each lung lobe blindly and independently by two persons and the final results were established by consensus. Overall CT scores include the lesion type (scored from 0 to 3) and lesion volume (scored from 0 to 4) summed for each lobe as previously described^{25 (link),26 (link)}.

Maisonnasse P., Aldon Y., Marc A., Marlin R., Dereuddre-Bosquet N., Kuzmina N.A., Freyn A.W., Snitselaar J.L., Gonçalves A., Caniels T.G., Burger J.A., Poniman M., Bontjer I., Chesnais V., Diry S., Iershov A., Ronk A.J., Jangra S., Rathnasinghe R., Brouwer P.J., Bijl T.P., van Schooten J., Brinkkemper M., Liu H., Yuan M., Mire C.E., van Breemen M.J., Contreras V., Naninck T., Lemaître J., Kahlaoui N., Relouzat F., Chapon C., Ho Tsong Fang R., McDanal C., Osei-Twum M., St-Amant N., Gagnon L., Montefiori D.C., Wilson I.A., Ginoux E., de Bree G.J., García-Sastre A., Schotsaert M., Coughlan L., Bukreyev A., van der Werf S., Guedj J., Sanders R.W., van Gils M.J, & Le Grand R. (2021). COVA1-18 neutralizing antibody protects against SARS-CoV-2 in three preclinical models. Nature Communications, 12, 6097.

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3D Printing of Primate Airway Anatomy

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A clinical CT imaging system (Vereos-Ingenuity, Philips Healthcare, Best, Netherlands) was used with a 64 × 0.6 mm CT detector collimation using a tube voltage of 120 kV and an intensity of approximately 120–130 mAs. CT images were reconstructed with a slice thickness of 1.25 mm and an interval of 0.25 mm. The clinical CT equipment was used to produce the scans needed for the 3D printing of the in vitro cast.
The selected macaque (6.6 kg body weight) underwent a whole-body high-resolution X-ray CT scan after being anesthetized with an intramuscular injection of ketamine (0.03 mg/kg, Centravet, Dinan, France) and Domitor® (0.22 µg/kg, Viatris,Meyzieu, France). During the scans, the animal was lying on its back in a dorsal decubitus position and was spontaneously breathing. CT acquisition lasted approximately about 15 s. The obtained DICOM raw images were converted into STL files using Materialise (Materialise® NV, Leuven, Belgium) Mimics 23 software (Materialise® Mimics Innovation Suite, Leuven, Belgium). We printed the trachea and bronchial trees with major branches according to the capabilities of the printer, with a layer thickness of ≥ to 2 mm (stereolithography).

Creppy J., Cabrera M., Kahlaoui N., Pardessus J., Lemaitre J., Naninck T., Delache B., Roseau G., Ducancel F, & Vecellio L. (2023). Comparison of Aerosol Deposition Between a Cynomolgus Macaque and a 3D Printed Cast Model of the Animal. Pharmaceutical Research, 40(3), 765-775.

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CT Imaging Protocol for COVID-19 Lung Lesions

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Acquisition was done using a computed tomography (CT) system (Vereos-Ingenuity, Philips). Animals were anesthetized and put in a supine position. Body temperature, oxygen saturation and heart rate were monitored. The collimation of the CT detector was 64 × 0.6 mm, with a 120 kV tube voltage and around 120 mA intensity. The intensity was regulated by dose optimization tools (Dose Right, Z-DOM, 3D-DOM; Philips Healthcare). The reconstructed CT images had a slice thickness of 1.25 mm, with an interval of 0.25 mm. Lesions were defined, by internationally standard nomenclature, as ground glass opacity, crazy-paving pattern, consolidation or pleural thickening (Pan et al., 2020 (link); Shi et al., 2020 (link)) (none, 0; GGO, 1; pleural thickening, 1; crazy-paving pattern, 3; consolidation, 3). Lesions and scoring were assessed in each lung lobe blindly and independently by two persons and final results were made by consensus. Overall CT scores include the lesion type, scored from 0 to 3 (None, 0; Slight, 1; Mild, 2; Severe, 3) and lesion volume, scored from 0 to 4 (None, 0; < 25% of the lobe, 1; 25 < x < 50% of the lobe, 2; 50 < x < 75% of the lobe, 3; 75 < x < 100% of the lobe; 4) and summed for each lobe.

Brouwer P.J., Brinkkemper M., Maisonnasse P., Dereuddre-Bosquet N., Grobben M., Claireaux M., de Gast M., Marlin R., Chesnais V., Diry S., Allen J.D., Watanabe Y., Giezen J.M., Kerster G., Turner H.L., van der Straten K., van der Linden C.A., Aldon Y., Naninck T., Bontjer I., Burger J.A., Poniman M., Mykytyn A.Z., Okba N.M., Schermer E.E., van Breemen M.J., Ravichandran R., Caniels T.G., van Schooten J., Kahlaoui N., Contreras V., Lemaître J., Chapon C., Fang R.H., Villaudy J., Sliepen K., van der Velden Y.U., Haagmans B.L., de Bree G.J., Ginoux E., Ward A.B., Crispin M., King N.P., van der Werf S., van Gils M.J., Le Grand R, & Sanders R.W. (2021). Two-component spike nanoparticle vaccine protects macaques from SARS-CoV-2 infection. Cell, 184(5), 1188-1200.e19.

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Lung CT Imaging Assessment Protocol

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Lung images were acquired using a computed tomography (CT) system (Vereos-Ingenuity, Philips) as previously described,⁵⁰ (link)^,⁷⁰ (link) and analyzed using INTELLISPACE PORTAL 8 software (Philips Healthcare). All images had the same window level of −300 and window width of 1,600. Lesions were defined as ground glass opacity, crazy-paving pattern, consolidation or pleural thickening as previously described.¹³⁶ (link)^,¹³⁷ (link) Lesions and scoring were assessed in each lung lobe blindly and independently by two persons and the final results were established by consensus. Overall CT scores include the lesion type (scored from 0 to 3) and lesion volume (scored from 0 to 4) summed for each lobe as previously described.⁵⁰ (link)^,⁷⁰ (link)

Sulbaran G., Maisonnasse P., Amen A., Effantin G., Guilligay D., Dereuddre-Bosquet N., Burger J.A., Poniman M., Grobben M., Buisson M., Dergan Dylon S., Naninck T., Lemaître J., Gros W., Gallouët A.S., Marlin R., Bouillier C., Contreras V., Relouzat F., Fenel D., Thepaut M., Bally I., Thielens N., Fieschi F., Schoehn G., van der Werf S., van Gils M.J., Sanders R.W., Poignard P., Le Grand R, & Weissenhorn W. (2022). Immunization with synthetic SARS-CoV-2 S glycoprotein virus-like particles protects macaques from infection. Cell Reports Medicine, 3(2), 100528.

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Quantifying COVID-19 Lung Lesions via CT Imaging

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Lung images were acquired using a computed tomography (CT) system (Vereos-Ingenuity, Philips) as previously described^{25 (link),26 (link)}. Lesions were defined as ground glass opacity, crazy-paving pattern, consolidation or pleural thickening as previously described^{32 ,48}. Lesions and scoring were assessed in each lung lobe blindly and independently by two persons and the final results were established by consensus. Overall CT scores include the lesion type (scored from 0 to 3) and lesion volume (scored from 0 to 4) summed for each lobe as previously described^{25 (link),26 (link)}.

Maisonnasse P., Aldon Y., Marc A., Marlin R., Dereuddre-Bosquet N., Kuzmina N., Freyn A., Snitselaar J., Gonçalves A., Caniels T., Burger J., Poniman M., Chesnais V., Diry S., Iershov A., Ronk A., Jangra S., Rathnasinghe R., Brouwer P., Bijl T., van Schooten J., Brinkkemper M., Liu H., Yuan M., Mire C., van Breemen M., Contreras V., Naninck T., Lemaître J., Kahlaoui N., Relouzat F., Chapon C., Ho Tsong Fang R., McDanal C., Osei-Twum M., St-Amant N., Gagnon L., Montefiori D., Wilson I., Ginoux E., de Bree G., García-Sastre A., Schotsaert M., Coughlan L., Bukreyev A., van der Werf S., Guedj J., Sanders R., van Gils M, & Le Grand R. (2021). COVA1-18 neutralizing antibody protects against SARS-CoV-2 in three preclinical models. Research Square.

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