Literature DB >> 32034112

The Academic NDA: Justification, Process, and Lessons Learned.

John J Sunderland1.   

Abstract

The University of Iowa recently completed a 4-y expedition into the uncharted waters of the Food and Drug Administration (FDA) new-drug application (NDA) process that ultimately resulted in approval of 68Ga-DOTATOC in August 2019. The journey was enlightening, revealing a highly structured, arcane, but rigorous regulatory approval process. The FDA proved to be an efficient, reasonable, and communicative regulatory body that achieved balance between support of the initiative and its mission-bound, process-bound duty to ensure that the application met the expected safety and efficacy standards of the agency. With several clinically valuable PET radiopharmaceuticals without intellectual property residing in regulatory limbo, without industry champions to bring them to marketing approval, there may be justification for a more concerted effort from the molecular imaging community into generating better understanding, support, and perhaps even infrastructure for the academic NDA. As a first step, this article briefly describes the start-to-finish story for 68Ga-DOTATOC, including a description of the clinical trials, a broad overview of the structured content of the NDA document, and the distilled experiences associated with the 68Ga-DOTATOC NDA process. It is anticipated that with sustained free sharing of information relating to the FDA drug registration process, it will prove less daunting and more efficient in future academically sponsored NDA filings for PET imaging agents.
© 2020 by the Society of Nuclear Medicine and Molecular Imaging.

Entities:  

Keywords:  68Ga-DOTATOC; NDA; neuroendocrine tumor

Year:  2020        PMID: 32034112     DOI: 10.2967/jnumed.119.238287

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  2 in total

Review 1.  Rules of engagement: Promoting academic-industry partnership in the era of digital pathology and artificial intelligence.

Authors:  Liron Pantanowitz; Marilyn M Bui; Chhavi Chauhan; Ehab ElGabry; Lewis Hassell; Zaibo Li; Anil V Parwani; Mohamed E Salama; Manu M Sebastian; David Tulman; Suryanarayana Vepa; Michael J Becich
Journal:  Acad Pathol       Date:  2022-05-30

Review 2.  Regulatory Agencies and PET/CT Imaging in the Clinic.

Authors:  Peter Herscovitch
Journal:  Curr Cardiol Rep       Date:  2022-08-01       Impact factor: 3.955

  2 in total

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