Capi-score: a quantitative algorithm for identifying disease patterns in nailfold videocapillaroscopy
Borja del Carmelo Gracia Tello, Luis Sáez Comet, Gema Lledó, Mayka Freire Dapena, Miguel Antonio Mesa, Miguel Martín-Cascón, Alfredo Guillén del Castillo, Elena Martínez Robles, Carmen Pilar Simeón-Aznar, Jose Antonio Todolí Parra, Diana Cristina Varela, Genessis Maldonado Vélez, Adela Marín Ballvé, · 2024
Read Capi-score: a quantitative algorithm for identifying disease patterns in nailfold videocapillaroscopy by Borja del Carmelo Gracia Tello, Luis Sáez Comet, Gema Lledó, Mayka Freire Dapena, Miguel Antonio Mesa, Miguel Martín-Cascón, Alfredo Guillén del Castillo, Elena Martínez Robles, Carmen Pilar Simeón-Aznar, Jose Antonio Todolí Parra, Diana Cristina Varela, Genessis Maldonado Vélez, Adela Marín Ballvé, (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11637479.txt.
Description
Borja Gracia Tello and co-authors built a score that reads nailfold scans for disease patterns, in a study published in 2024. The scans show tiny blood vessel loops at the base of the nail and help identify a hardening skin disease and its relatives. Expert eyes sort the scans, but judges often disagree. The team took 851 scans whose patterns nine experts had agreed on, and let software measure each feature.
Set thresholds for loop counts, shares of abnormal loops, giant loops, twists, and bleeding separated the patterns well. The four-rule score distinguished the main disease from the rest with high accuracy. Finer rules separated early, active, and late stages, and separated normal from abnormal scans in the remaining cases. Scores rose further when the experts had fully agreed. The authors present the score as an aid for clinics that does not depend on a single judge.
Catalog record
| CREATOR | Borja del Carmelo Gracia Tello, Luis Sáez Comet, Gema Lledó, Mayka Freire Dapena, Miguel Antonio Mesa, Miguel Martín-Cascón, Alfredo Guillén del Castillo, Elena Martínez Robles, Carmen Pilar Simeón-Aznar, Jose Antonio Todolí Parra, Diana Cristina Varela, Genessis Maldonado Vélez, Adela Marín Ballvé, |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |