Georg Ruile1,2, Anatoli Djanatliev3, Christine Kriza2,4, Florian Meier5, Ines Leb6, Willi A Kalender1,2, Peter L Kolominsky-Rabas2,4. 1. Institute of Medical Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Bavaria, Germany. 2. National Leading-Edge Cluster Medical Technologies 'Medical Valley EMN', Erlangen, Bavaria, Germany. 3. Chair for Computer Networks & Communication Systems (Computer Science 7), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Bavaria, Germany. 4. Interdisciplinary Centre for Health Technology Assessment (HTA) & Public Health (IZPH), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Bavaria, Germany. 5. Department of Health Management, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Nürnberg, Bavaria, Germany. 6. Chair of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Bavaria, Germany.
Abstract
AIMS: The potential of dedicated Breast-CT is evaluated by simulating its impact onto the performance of the German breast cancer screening program. Attendance rates, cancer detection and economic implications are quantified. METHODS: Based on a prospective health technology assessment approach, we simulated screening in different scenarios. RESULTS: In the simulation, attendance rates increase from 54 to up to 72% due to reduced pain. Breast cancers will be detected earlier while nodal positives and distant recurrences decrease. Assuming no additional cost, cost savings of up to €55 million in one screening period are computed. CONCLUSION: The simulation indicates that earlier cancer detection, fewer unnecessary biopsies and less pain are potential benefits of Breast-CT resulting in cost savings and higher attendance.
AIMS: The potential of dedicated Breast-CT is evaluated by simulating its impact onto the performance of the German breast cancer screening program. Attendance rates, cancer detection and economic implications are quantified. METHODS: Based on a prospective health technology assessment approach, we simulated screening in different scenarios. RESULTS: In the simulation, attendance rates increase from 54 to up to 72% due to reduced pain. Breast cancers will be detected earlier while nodal positives and distant recurrences decrease. Assuming no additional cost, cost savings of up to €55 million in one screening period are computed. CONCLUSION: The simulation indicates that earlier cancer detection, fewer unnecessary biopsies and less pain are potential benefits of Breast-CT resulting in cost savings and higher attendance.
Entities:
Keywords:
breast cancer; computed tomography; health economics; health technology assessment; mammography screening; simulation