Evidence map›Paper›PMID 40687875›Full record

ArticleIndian journal of surgical oncology2025

Navigation Assistance in Orthopedic Oncosurgery: Our Early Experience.

Ashik Bary, Amit Gupta, K S Meghashyam, Manish Agarwal

Abstract read
In one paragraph

Article in Indian journal of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Ashik BaryDepartment of Surgical Oncology (Orthopedic Oncology), Cancer Institute (WIA), No: 38, Sardar Patel Road, Guindy, Adyar, Chennai, 600022 India.ORCID 0009-0004-5788-4000
Amit GuptaDepartment of Orthopedic Oncology, Nanavati Max Super Speciality Hospital, Vile Parle West, Mumbai, 400056 India.
K S MeghashyamDepartment of Orthopedic Oncology, Nanavati Max Super Speciality Hospital, Vile Parle West, Mumbai, 400056 India.ORCID 0000-0001-5640-2533
Manish AgarwalDepartment of Orthopedic Oncology, Nanavati Max Super Speciality Hospital, Vile Parle West, Mumbai, 400056 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The primary objective of orthopedic oncologists is to perform bone tumor surgeries with tumor-free margins for malignant tumors and complete clearance of benign bone diseases. The functional outcome depends on the salvage of important structures and optimal reconstruction of the bony defect. On-going advances in technology have helped in 3-dimensional templating of patient's anatomy and real-time tracking of instruments during surgery. Computer navigation system joins patients' imaging information to real-time anatomy by using tracking and registration of pre- and/or intra-operative acquired images. We share our experience with 15 navigation-assisted surgeries performed at a single institute. We used BrainLab navigation system coupled with the Ziehm vision RFD 3D C-arm for intra-op registration in our cases. Our study did not compare the accuracy of the resection with the intended plan using imaging in all cases; however, margins were negative in all malignant cases. These patients were followed up for a short period. Multicenter comparative studies with longer follow-ups are required to establish their clinical effectiveness. Current evidence suggests that this technology may be applicable in challenging anatomical locations and joint/physis preserving tumor surgery to achieve precise resections or curettages that accurately match intended resection plans.

Indexed as

Cancer of pelvisComputer-assisted surgerySarcomaSurgical navigation system

Identifiers

PMID40687875
PMCPMC12267741

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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.