Deep learning based identification of bone scintigraphies containing metastatic bone disease foci
Posted on 2023-04-13 - 13:09
Abstract Purpose Metastatic bone disease (MBD) is the most common form of metastases, most frequently deriving from prostate cancer. MBD is screened with bone scintigraphy (BS), which have high sensitivity but low specificity for the diagnosis of MBD, often requiring further investigations. Deep learning (DL) - a machine learning technique designed to mimic human neuronal interactions- has shown promise in the field of medical imaging analysis for different purposes, including segmentation and classification of lesions. In this study, we aim to develop a DL algorithm that can classify areas of increased uptake on bone scintigraphy scans. Methods We collected 2365 BS from three European medical centres. The model was trained and validated on 1203 and 164 BS scans respectively. Furthermore we evaluated its performance on an external testing set composed of 998 BS scans. We further aimed to enhance the explainability of our developed algorithm, using activation maps. We compared the performance of our algorithm to that of 6 nuclear medicine physicians. Results The developed DL based algorithm is able to detect MBD on BSs, with high specificity and sensitivity (0.80 and 0.82 respectively on the external test set), in a shorter time compared to the nuclear medicine physicians (2.5 min for AI and 30 min for nuclear medicine physicians to classify 134 BSs). Further prospective validation is required before the algorithm can be used in the clinic.
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Ibrahim, Abdalla; Vaidyanathan, Akshayaa; Primakov, Sergey; Belmans, Flore; Bottari, Fabio; Refaee, Turkey; et al. (2023). Deep learning based identification of bone scintigraphies containing metastatic bone disease foci. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.6588473.v1
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AUTHORS (19)
AI
Abdalla Ibrahim
AV
Akshayaa Vaidyanathan
SP
Sergey Primakov
FB
Flore Belmans
FB
Fabio Bottari
TR
Turkey Refaee
PL
Pierre Lovinfosse
AJ
Alexandre Jadoul
CD
Celine Derwael
FH
Fabian Hertel
HW
Henry C. Woodruff
HZ
Helle D. Zacho
SW
Sean Walsh
WV
Wim Vos
MO
Mariaelena Occhipinti
FH
François-Xavier Hanin
PL
Philippe Lambin
FM
Felix M. Mottaghy
RH
Roland Hustinx