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Publicatie met DBIR data in het journal Plastic and Reconstructive Surgery:

Er is een nieuwe publicatie verschenen over de DBIR (borstimplantatenregistratie) in het tijdschrift Plastic and Reconstructive Surgery:

The Dutch Breast Implant Registry: Registration of Breast Implant-Associated Anaplastic Large Cell Lymphoma-A Proof of Concept.

Auteurs: Becherer BE, de Boer M, Spronk PER, Bruggink AH, de Boer Jp, van Leeuwen FE, Mureau MAM, van der Hulst RRJW, de Jong D, Rakhorst HA

Lees het volledige artikel hier. Zie hieronder het abstract: 



The Dutch Breast Implant Registry (DBIR) was established in April of 2015 and currently contains information on 38,000 implants in 18,000 women. As a clinical registry, it evaluates the quality of breast implant surgery, including adverse events such as breast implant-associated (BIA) anaplastic large cell lymphoma (ALCL). To examine the efficacy of the DBIR, the capture rate of BIA-ALCL was compared to the registration of BIA-ALCL in the Dutch Nationwide Network and Registry of Histo- and Cytopathology (PALGA) as a gold standard, in combination with matching these databases to obtain complementary information.


All BIA-ALCL patients diagnosed and registered in The Netherlands in 2016 and 2017 were identified separately in the PALGA and DBIR databases. In addition, both databases were matched using indirect key identifiers. Pathologic information from the PALGA and clinical and device characteristics from the DBIR were obtained for all patients.


Matching of both databases gave a capture rate of BIA-ALCL in the DBIR of 100 percent (n = 6) in 2016 and 70 percent (n = 7) in 2017. In total, 17 patients were identified in the PALGA, of which 14 patients were also identified in the DBIR; three patients were not registered; and 10 patients were registered false-positive. Of all confirmed patients, symptoms, staging results, treatment, and implant information were registered.


Currently, the DBIR contains 2 full registration years and captures most of the BIA-ALCL patients despite overestimation. Therefore, pathology confirmation remains essential. By matching these databases, complementary clinical and implant information could be retrieved, establishing the DBIR as an essential postmarketing surveillance system for health risk assessments.