Characterizing the ADPKD-IFT140 Phenotypic Signature With Deep Learning and Advanced Imaging Biomarkers

Characterizing the ADPKD-IFT140 Phenotypic Signature With Deep Learning and Advanced Imaging Biomarkers

Introduction: ADPKD-IFT140 is the third most common disease-causing variant in autosomal dominant polycystic kidney disease (ADPKD) after ADPKD-PKD1 and ADPKD-PKD2. This study aimed to characterize the clinical presentation, progression, and distinctive imaging phenotype of ADPKD-IFT140. Methods: Th...

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Main Authors: Ahmad Ghanem, Fadi George Munairdjy Debeh, Abdul Hamid Borghol, Nikola Zagorec, Amanda L. Tapia, Byron Smith, Stefan Paul, Abdul Basit, Bassel AlKhatib, Nay Nader, Marie Therese Bou Antoun, Adriana V. Gregory, Hana Yang, Rachel S. Schauer, Neera K. Dahl, Christian Hanna, Vicente E. Torres, Timothy L. Kline, Peter C. Harris, Emilie Cornec-Le Gall, Fouad T. Chebib
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Kidney International Reports
Subjects:
ADPKD
atypical
CKD
cyst
cyst segmentation
IFT140
Online Access:http://www.sciencedirect.com/science/article/pii/S2468024925002876
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