The Impact of Next-Generation Sequencing on Interobserver Agreement and Diagnostic Accuracy of Deep Penetrating Melanocytic Neoplasms.
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Ошибки и ограничения
История · было → стало
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Jeyakumar Julia Edwin, Addo Afua Konadu, Beydoun Haya Mary, Olivares Shantel, Bahrami Armita, Balamurugan Thiagarajah, Barnhill Raymond L, Blokx Willeke A M, Busam Klaus J, Cerroni Lorenzo, Cook Martin, de La Fouchardière Arnaud, Duncan Lyn M, Elder David E, Ferguson Peter, Ferrara Gerardo, Johansson Iva, Ko Jennifer S, Kwon Ji Eun, Landman Gilles, Lezcano Cecilia, Lowe Lori, Massi Daniela, Messina Jane, Mihic-Probst Daniela, Parker Douglas C, Redpath Margaret, Sargen Michael R, Scolyer Richard A, Shea Christopher R, Tetzlaff Michael, Torres-Cabala Carlos, Tron Victor, Xu Xiaowei, Yeh Iwei, Yun Sook Jung, Zembowicz Artur, Gerami Pedram
Аннотация
METHODS: We sent a two-phase survey (pre-and postgenomics) to 32 experienced dermatopathologists to evaluate 39 diagnostically challenging cases from the DPN/WNT-activated family of melanocytic neoplasms.
RESULTS: With NGS data, interobserver agreement improved from 0.41 to 0.51 (p < 0.0001) in distinguishing DPN-M from nonmelanoma cases. Overall diagnostic accuracy improved, mostly driven by a 16% increase in accurate diagnosis of DPN-M. However, in two cases, the inclusion of genomics shifted the majority vote from a correct to an incorrect diagnosis. A total of 218 diagnostic changes occurred between Survey 1 and 2. Among the changes, 132 votes moved toward the correct diagnosis while 86 moved toward an incorrect diagnosis. The shift in voting which resulted in improved diagnostic accuracy was statistically significant (p = 0.0001).
CONCLUSIONS: NGS has the potential to improve interobserver agreement and diagnostic accuracy. We provide guidance on the utilization of bioinformatic data to maximize its benefits and improve diagnostic accuracy and interobserver agreement.