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qXR-PTX-PE

qXR-PTX-PE is standalone software designed to aid in triaging chest X-rays for the presence of pneumothorax and pleural effusion.

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  • Chest X-Ray Analysis
  • Pneumothorax effusion
  • Pleural Effusion
  • Image Analysis

Chest X-Ray Image Analysis

qXR-PTX-PE consists of a set of deep learning algorithms that have been trained to analyze chest X-rays taken from both anterior-posterior (AP) and posterior-anterior (PA) views. The software provides case-level outputs for worklist prioritization or triage. Additionally, it generates passive notification flags for scans indicating the presence of pneumothorax or pleural effusion.

Technical Specifications and Operational Capabilities

  • qXR-PTX-PE interacts with the user's PACS to receive de-identified scans and return results to the same destination.
  • The software is designed to run in 'always-on' mode on dedicated hardware.
  • Provides output in Secondary Capture (SC), Greyscale Presentation (GSPS), PDF report, PDF Embedded DICOM, Structured Report (SR), HL7, and JSON formats.
  • qXR-PTX-PE employs a two-dimensional classification convolutional neural network (2D CNN) to determine the probability that a pneumothorax and/or pleural effusion is present in each x-ray.
  • The software uses a prefixed threshold on the CNN output to provide a binary (yes/no) output for each condition.
  • qXR-PTX-PE's algorithm was trained on data from various regions, including India (74%), EU (20.04%), US (3.9%), Brazil (1.4%), and Vietnam (0.63%).
  • It’s input are frontal chest X-rays (AP and PA view) in DICOM format.

Integration. Security.

Exam Prioritization

For use with CR/DR/DX modalities.



For use with de-identified DICOM (.dcm) images.

Requires a minimum image dimension of 1440*1440 pixels and 10 gray level bits.

qXR-PTX-PE integrates with hospital PACS systems.

Suspicious findings

Utilizes access enforced firewalls, VPN, and two-factor authentication for system protection.

qXR-PTX-PE systems receive regular security patches for operating systems, applications, and modules.

    Intended Use

    • For use with adult chest X-ray images (age ≥ 22 years).
    • qXR-PTX-PE provides case-level output for worklist prioritization or triage.
    • qXR-PTX-PE does not send proactive alerts directly to medical specialists.
    • qXR-PTX-PE is not intended to direct attention to specific portions of an image or to anomalies other than pleural effusion and/or pneumothorax.
    • It’s results are not intended to be used on a stand-alone basis for clinical decision-making.

    Intended Users

    • The intended users of qXR-PTX-PE are clinicians, and other appropriately trained medical specialists qualified to read chest radiographs.
    Request a demo

    Applications Tailored to You

    Discover how our tailored service lines and applications can better suit your needs.

    Find Out More

      1qXR-PTX-PE User Guide. Software Version V 1.0

      6230899 (qXR-PTX-PE). US Food and Drug Administration. Silver Spring, MD, 2023.

       

        Scanslated could potentially save clinician time by reducing imaging-related calls and messages, and streamlining follow-up appointments.7

        A study found that increased patient understanding of radiology reports may lead a to better patient experience.8

        Another study published in August 2024 found patient feedback to be overwhelmingly positive and indicated that the Scanslated report may improve patient-centered outcomes in radiology, such as increasing the patient's knowledge or understanding of their health, allowing patients to feel more prepared for conversations with their healthcare providers, as well as reducing patient anxiety.6

        A study showed that patients showed higher scores of satisfaction with a radiologist that uses a web based interactive report.9

        Research has shown that focusing on the patient experience and partnering with patients in healthcare delivery can improve patient satisfaction, quality of care, and health outcomes.10

        What Customers Are Saying

         

        The application enables identification of small nodules faster and more reliably, particularly for oncological patients.

         

        Terrence Matalon
        MD, Chairman, Diagnostic Radiology at Einstein Medical Center
         

          Currently not available within the Calantic Viewer.

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