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Siemens True Point 16 Slice PET CT Scanner

IndiaMART >Diagnostic Medical Imaging Equipment >CT Scan Machine >PET CT Scan Machine

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Number Of Slices

16- Slice

Brand

Siemens

Model Name/Number

Truepoint 16

Our company is the leading provider of True Point 16 Slice PET CT Scanner which has rigid constructions. Further these are highly durable and manufactured using latest technology. Along with this, these are very acclaimed by our clients for their long functional life, optimum performance and high grade material. Last but not the least, these scanners are easily obtained at budget friendly prices to our dear customers.

 

Features:

 

  • High efficiency
  • Advanced functions
  • Standard sizes 

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About the Company

Number of EmployeesUpto 10 People

IndiaMART Member SinceMar 2011

Liasio Medical Services is a Sole Proprietorship firm which came into inception in the year 2010 and is located at Diamond Harbour Road, Kolkata, West Bengal. Our firm is engaged in trading, supplying, importing and exporting of sophisticated medical equipment which have great utility in modern field of medical industry. We are well aware with transformations which have taken place in the medical world and the benefits it has rendered to the people at large are well evident. The modern equipment offered by us certainly helps the medical professionals to make proper diagnoses and thereby saving precious lives by curing people of various diseases. The range offered by us encompasses MRI Equipment, CT Scanner, MRI System and many more. The entire range offered by us is user friendly and ensures the people using them have trouble free experience. The easy operation and low maintenance have made them even more popular amongst the clients. The consistent performa

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  • Symbia T Series Operator Manual en 11294897.01

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    com/healthcare

    Symbia T16/T6/T2/T Series


    Operator Manual – syngo MI Applications
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    Symbia T16/T6/T2/T Series
    Operator Manual – syngo MI Applications
    VB2xx
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  • Note for BioGraphs: 1080, TruePoint (1093,1094),
  • Abstract

    Objectives

    To compare the diagnostic accuracy of preoperative 18F-FDG PET/CT and MRI tumor markers for prediction of lymph node metastases (LNM) and aggressive disease in endometrial cancer (EC).

    Methods

    Preoperative whole-body 18F-FDG PET/CT and pelvic MRI were performed in 215 consecutive patients with histologically confirmed EC. PET/CT-based tumor standardized uptake value (SUVmax and SUVmean), metabolic tumor volume (MTV), and PET-positive lymph nodes (LNs) (SUVmax > 2.5) were analyzed together with the MRI-based tumor volume (VMRI), mean apparent diffusion coefficient (ADCmean), and MRI-positive LN (maximum short-axis diameter ≥ 10 mm). Imaging parameters were explored in relation to surgicopathological stage and tumor grade. Receiver operating characteristic (ROC) curves were generated yielding optimal cutoff values for imaging parameters, and regression analyses were used to assess their diagnostic performance for prediction of LNM and progression-free survival.

    Results

    For prediction of LNM, MTV yielded the largest area under the ROC curve (AUC) (AUC = 0.80), whereas VMRI had lower AUC (AUC = 0.72) (p = 0.03). Furthermore, MTV > 27 ml yielded significantly higher specificity (74%, p < 0.001) and accuracy (75%, p < 0.001) and also higher odds ratio (12.2) for predicting LNM, compared with VMRI > 10 ml (58%, 62%, and 9.7, respectively). MTV > 27 ml also tended to yield higher sensitivity than PET-positive LN (81% vs 50%, p = 0.13). Both VMRI > 10 ml and MTV > 27 ml were significantly associated with reduced progression-free survival.

    Conclusions

    Tumor markers from 18F-FDG PET/CT outperform MRI markers for the prediction of LNM. MTV > 27 ml yields a high diagnostic performance for predicting aggressive disease and represents a promising supplement to conventional PET/CT reading in EC.

    Key Points

    • Metabolic tumor volume (MTV) outperforms other 18F-FDG PET/CT and MRI markers for preoperat

  • The aim of this study
  • .

  • Biograph 16 True Point. Biograph