2024 World Conference on Lung Cancer (WCLC) - Posters-P4.04C.01 Incidental Pulmonary Nodule Management Using Computer Assisted Detection and Patient Tracking: PINPOINT Project, Pilot Data

P4.04C.01 Incidental Pulmonary Nodule Management Using Computer Assisted Detection and Patient Tracking: PINPOINT Project, Pilot Data

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The document discusses the implementation of Computer-Assisted Detection (CAD) systems for detecting incidental pulmonary nodules (IPNs) and their management through Virtual Nodule Clinics (VNC) as part of the PINPOINT project. The initiative aims to improve early lung cancer detection and streamline patient management within routine clinical workflows using these technologies.<br /><br />**Key Points:**<br /><br />1. **Importance of IPN Detection**: Detecting incidental pulmonary nodules on chest CT scans can lead to early diagnosis of lung cancer, potentially improving patient outcomes.<br /><br />2. **Role of CAD**: The use of CAD is highlighted as improving the detection rates of nodules on chest CT scans, thereby facilitating earlier intervention.<br /><br />3. **Virtual Nodule Clinics (VNC)**: VNCs are introduced to enhance the follow-up rate and adherence to management guidelines for IPNs. These clinics track patient progress and ensure consistent follow-up using a web-based application.<br /><br />4. **Pilot Data and Results**: The pilot data suggests CAD combined with VNC can be successfully integrated into regular clinical workflows. The collected data from institutions such as Erasmus Medical Center and San Luigi Hospital provides evidence of its efficacy, with one percent of patients in the study being diagnosed with lung cancer.<br /><br />5. **Collaboration and Support**: The project is a collaborative effort involving various hospitals across Europe and is supported by AstraZeneca.<br /><br />6. **Conclusion**: Preliminary evidence suggests that implementing these systems in routine practice can support early detection and better management of lung cancer through systematic patient tracking and guideline adherence.<br /><br />Overall, the document emphasizes that the integration of advanced detection and management technologies in everyday clinical settings could revolutionize how incidental lung nodules are handled, leading to potentially improved clinical outcomes in lung cancer care.

Asset Subtitle

Asabi Leliveld

Meta Tag

Speaker Asabi Leliveld

Topic Screening & Early Detection

Keywords

Computer-Assisted Detection

incidental pulmonary nodules

Virtual Nodule Clinics

PINPOINT project

early lung cancer detection

routine clinical workflows

chest CT scans

patient management

pilot data

AstraZeneca