TY - JOUR
T1 - Analyzing drilling noise in rotational atherectomy
T2 - Improving safety and effectiveness through visualization and anomaly detection using autoencoder—A preclinical study
AU - Komiyama, Hidenori
AU - Abe, Takuro
AU - Ando, Toshiyuki
AU - Ishikawa, Masahiro
AU - Tanaka, Shinji
AU - Ishihara, Shiro
AU - Inoue, Yoshiro
AU - Jujo, Kentaro
AU - Hamatani, Takeshi
AU - Matsukage, Takashi
N1 - Funding Information: All authors have read and approved the final version of the manuscript. The lead author, Hidenori Komiyama, had full access to all of the data in this study and takes complete responsibility for the integrity of the data and the accuracy of the data analysis. We would like to express our gratitude to Ms. Atsuko Kusaka and Mr. Kensuke Fukushima from Boston Scientific, and Mr. Atsushi Akimoto from Cardiovascular Systems Inc., for their invaluable technical support and for providing the necessary devices. Additionally, we extend our thanks to Editage (www.editage.com) for their English language editing services for this paper. The supporting source/financial relationships had no involvement in study design; collection, analysis, and interpretation of data; writing of the report; and the decision to submit the report for publication. Publisher Copyright: © 2023 The Authors. Health Science Reports published by Wiley Periodicals LLC.
PY - 2023/12/1
Y1 - 2023/12/1
N2 - Background and Aims: As the population of aging societies continues to grow, the prevalence of complex coronary artery diseases, including calcification, is expected to increase. Rotational atherectomy (RA) is an essential technique for treating calcified lesions. This study aimed to assess the usefulness of the drilling noise produced during rotablation as a parameter for evaluating the safety and effectiveness of the procedure. Methods: A human body model mimicking calcified stenotic coronary lesions was constructed using plastic resin, and burrs of sizes 1.25 and 1.5 mm were utilized. To identify the noise source during rotablation, we activated the ROTAPRO™ rotablator at a rotational speed of 180,000 rpm, recording the noise near the burr (inside the mock model) and advancer (outside). In addition to regular operation, we simulated two major complications: burr entrapment and guidewire transection. The drilling noise recorded in Waveform Audio File Format files was converted into spectrograms for analysis and an autoencoder analyzed the image data for anomalies. Results: The drilling noise from both inside and outside the mock model was predominantly within the 3000 Hz frequency domain. During standard operation, intermittent noise within this range was observed. However, during simulated complications, there were noticeable changes: a drop to 2000 Hz during burr entrapment and a distinct squealing noise during guidewire transection. The autoencoder effectively reduced the spectrogram data into a two-dimensional representation suitable for anomaly detection in potential clinical applications. Conclusion: By analyzing drilling noise, the evaluation of procedural safety and efficacy during RA can be enhanced.
AB - Background and Aims: As the population of aging societies continues to grow, the prevalence of complex coronary artery diseases, including calcification, is expected to increase. Rotational atherectomy (RA) is an essential technique for treating calcified lesions. This study aimed to assess the usefulness of the drilling noise produced during rotablation as a parameter for evaluating the safety and effectiveness of the procedure. Methods: A human body model mimicking calcified stenotic coronary lesions was constructed using plastic resin, and burrs of sizes 1.25 and 1.5 mm were utilized. To identify the noise source during rotablation, we activated the ROTAPRO™ rotablator at a rotational speed of 180,000 rpm, recording the noise near the burr (inside the mock model) and advancer (outside). In addition to regular operation, we simulated two major complications: burr entrapment and guidewire transection. The drilling noise recorded in Waveform Audio File Format files was converted into spectrograms for analysis and an autoencoder analyzed the image data for anomalies. Results: The drilling noise from both inside and outside the mock model was predominantly within the 3000 Hz frequency domain. During standard operation, intermittent noise within this range was observed. However, during simulated complications, there were noticeable changes: a drop to 2000 Hz during burr entrapment and a distinct squealing noise during guidewire transection. The autoencoder effectively reduced the spectrogram data into a two-dimensional representation suitable for anomaly detection in potential clinical applications. Conclusion: By analyzing drilling noise, the evaluation of procedural safety and efficacy during RA can be enhanced.
KW - angioplasty
KW - artificial intelligence
KW - atherectomy
KW - catheterization
KW - vascular calcification
UR - http://www.scopus.com/inward/record.url?scp=85177790569&partnerID=8YFLogxK
U2 - https://doi.org/10.1002/hsr2.1739
DO - https://doi.org/10.1002/hsr2.1739
M3 - Article
C2 - 38033711
SN - 2398-8835
VL - 6
JO - Health Science Reports
JF - Health Science Reports
IS - 12
M1 - e1739
ER -