Evidence map›Paper›PMID 42579047›Full record

ArticleGeneral thoracic and cardiovascular surgery2026

Objective characterization of object-specific grasping behavior during robot-assisted pulmonary resection using intraoperative force data.

Shohei Mori, Satoshi Arakawa, Saki Tsubouchi, Yuto Watanabe, Lulu Li, Naoki Toya, Takashi Ohtsuka

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Article in General thoracic and cardiovascular surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Shohei MoriDepartment of Surgery, The Jikei University Kashiwa Hospital, 163-1 Kashiwashita Kashiwa-shi, Chiba, 277-8567, Japan. shoheijapan@jikei.ac.jp.ORCID http://orcid.org/0000-0003-3456-6304
Satoshi ArakawaDepartment of Surgery, The Jikei University Kashiwa Hospital, 163-1 Kashiwashita Kashiwa-shi, Chiba, 277-8567, Japan.
Saki TsubouchiDivision of Thoracic Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8 Nishishinbashi, Minato-ku, Tokyo, 105-0003, Japan.
Yuto WatanabeDepartment of Surgery, The Jikei University Kashiwa Hospital, 163-1 Kashiwashita Kashiwa-shi, Chiba, 277-8567, Japan.
Lulu LiDivision of Thoracic Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8 Nishishinbashi, Minato-ku, Tokyo, 105-0003, Japan.
Naoki ToyaDepartment of Surgery, The Jikei University Kashiwa Hospital, 163-1 Kashiwashita Kashiwa-shi, Chiba, 277-8567, Japan.
Takashi OhtsukaDivision of Thoracic Surgery, Department of Surgery, The Jikei University School of Medicine, 3-25-8 Nishishinbashi, Minato-ku, Tokyo, 105-0003, Japan.

Funding

Riverfield Inc. Riverfield Inc.
6 · The paper itself

Abstract

objectivesObjective analytical approaches for characterizing intraoperative grasping behavior have not yet been established, despite the availability of robotic systems capable of recording grasping-force data. This exploratory study aimed to objectively characterize object-specific grasping behavior during robot-assisted pulmonary resection using synchronized surgical video review and force-log analysis.

methodsForce data were collected from seven pulmonary resections performed using a robotic system equipped with haptic feedback and force-logging capability. Surgical videos were reviewed to identify grasping events involving five object categories: bronchial sheath, lung, lymph nodes, artificial materials, and vascular sheath. After force-log cleaning, five force-related features (peak force, mean force, mean-to-peak ratio, initial rising slope, and hold time) were extracted from each grasping event and compared among the object categories.

resultsA total of 271 grasping events comprising 64,765 force data points were analyzed. Significant differences were observed in all five force-related features among the object categories. Lymph nodes exhibited the lowest peak and mean forces, whereas artificial materials showed the highest forces and the steepest initial rising slope. Bronchial sheath and vascular sheath demonstrated similar force-related characteristics with intermediate forces and the gentlest initial rising slope. Subcategory analyses revealed additional differences, including higher forces in mediastinal than hilar lymph nodes and a steeper initial rising slope in lung-move than lung-hold maneuvers.

conclusionObject-specific differences in force-related features enabled quantitative characterization of intraoperative grasping behavior during robot-assisted pulmonary resection. This exploratory study presents a methodological approach for objectively characterizing tissue-specific manipulation during robot-assisted pulmonary resection.

Indexed as

Grasping behaviorHaptic feedbackIntraoperative force dataRobot-assisted pulmonary resectionSaroa

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.