Evidence map›Paper›PMID 39271763›Full record

ArticleScientific reports2024

Development of microsurgical forceps equipped with haptic technology for in situ differentiation of brain tumors during microsurgery.

Taketo Ezaki, Kouki Kishima, Shunsuke Shibao, Takuya Matsunaga, Eriel Sandika Pareira, Yohei Kitamura, Yuji Nakayama, Noboru Tsuda, Kento Takahara, Takashi Iwama and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Taketo EzakiDepartment of Neurosurgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Kouki KishimaCollege of Engineering Science, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama City, Kanagawa, 240-8501, Japan.
Shunsuke ShibaoDepartment of Neurosurgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Takuya MatsunagaKanagawa Institute of Industrial Science and Technology, 3-25-10 Tonomachi, Kawasakiku, Kawasaki City, Kanagawa, 210-0821, Japan.
Eriel Sandika PareiraDepartment of Neurosurgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Yohei KitamuraDepartment of Neurosurgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Yuji NakayamaDepartment of Pathology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Noboru TsudaDepartment of Pathology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Kento TakaharaDepartment of Neurosurgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Takashi IwamaDepartment of Neurosurgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Oltea SampetreanHuman Biology-Microbiome-Quantum Research Center (WPI-Bio2Q), Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Masahiro TodaDepartment of Neurosurgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Kouhei OhnishiKanagawa Institute of Industrial Science and Technology, 3-25-10 Tonomachi, Kawasakiku, Kawasaki City, Kanagawa, 210-0821, Japan.
Tomoyuki ShimonoKanagawa Institute of Industrial Science and Technology, 3-25-10 Tonomachi, Kawasakiku, Kawasaki City, Kanagawa, 210-0821, Japan. shimono-tomoyuki-hc@ynu.ac.jp.
Hikaru SasakiDepartment of Neurosurgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan. hssasaki@tdc.ac.jp.

Funding

Japan Agency for Medical Research and Development JP 20lm0203004
6 · The paper itself

Abstract

The stiffness of human cancers may be correlated with their pathology, and can be used as a biomarker for diagnosis, malignancy prediction, molecular expression, and postoperative complications. Neurosurgeons perform tumor resection based on tactile sensations. However, it takes years of surgical experience to appropriately distinguish brain tumors from surrounding parenchymal tissue. Haptics is a technology related to the touch sensation. Haptic technology can amplify, transmit, record, and reproduce real sensations, and the physical properties (e.g., stiffness) of an object can be quantified. In the present study, glioblastoma (SF126-firefly luciferase-mCherry [FmC], U87-FmC, U251-FmC) and malignant meningioma (IOMM-Lee-FmC, HKBMM-FmC) cell lines were transplanted into nude mice, and the stiffness of tumors and normal brain tissues were measured using our newly developed surgical forceps equipped with haptic technology. We found that all five brain tumor tissues were stiffer than normal brain tissue (p < 0.001), and that brain tumor pathology (three types of glioblastomas, two types of malignant meningioma) was significantly stiffer than normal brain tissue (p < 0.001 for all). Our findings suggest that tissue stiffness may be a useful marker to distinguish brain tumors from surrounding parenchymal tissue during microsurgery, and that haptic forceps may help neurosurgeons to sense minute changes in tissue stiffness.

Indexed as

Brain NeoplasmsGlioblastomaMeningiomaMice, NudeMicrosurgeryAnimalsCell Line, TumorHumansMiceSurgical InstrumentsArtificial intelligence (AI)GlioblastomaHapticsMicrosurgeryTumor stiffness

Identifiers

PMID39271763
PMCPMC11399253

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Registered trials

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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.