Skip to Main content Skip to Navigation
Journal articles

Predicting the quality of surgical exposure using spatial and procedural features from laparoscopic videos

Abstract : Purpose Evaluating the quality of surgical procedures is a major concern in minimal invasive surgeries. We propose a bottom-up approach based on the study of Sleeve Gastrectomy procedures, for which we analyze what we assume to be an important indicator of the surgical expertise: the exposure of the surgical scene. We first aim at predicting this indicator with features extracted from the laparoscopic video feed. Second, to analyze how the extracted features describing the surgical practice influence this indicator. Method 29 patients underwent Sleeve Gastrectomy performed by two confirmed surgeons in a monocentric study. Features were extracted from spatial and procedural annotations of the videos, and an expert surgeon evaluated the quality of the surgical exposure at specific instants. The features were used as input of a classifier (linear discriminant analysis followed by a support vector machine) to predict the expertise indicator. Features selected in different configurations of the algorithm were compared to understand their relationships with the surgical exposure and the surgeon's practice. Results The optimized algorithm giving the best performance used spatial features as input (Acc = 0.68, Sn = 0.72, Sp = 0.7). It also predicted equally the two classes of the indicator, despite their strong imbalance. Analyzing the selection of input features in the algorithm allowed a comparison of different configurations of the algorithm and showed a link between the surgical exposure and the surgeon's practice.
Complete list of metadatas

Cited literature [23 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02353077
Contributor : Sandrine Voros <>
Submitted on : Wednesday, November 20, 2019 - 2:37:01 PM
Last modification on : Tuesday, November 17, 2020 - 10:46:06 AM

File

final_paper_HAL.pdf
Files produced by the author(s)

Identifiers

Citation

Arthur Derathé, Fabian Reche, Alexandre Moreau-Gaudry, Pierre Jannin, Bernard Gibaud, et al.. Predicting the quality of surgical exposure using spatial and procedural features from laparoscopic videos. International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2020, 15 (1), pp.59-67. ⟨10.1007/s11548-019-02072-3⟩. ⟨hal-02353077⟩

Share

Metrics

Record views

263

Files downloads

253