Evidence map›Paper›PMID 29916118›Full record

ReviewMolecular imaging and biology2018

Emerging Intraoperative Imaging Modalities to Improve Surgical Precision.

Israt S Alam, Idan Steinberg, Ophir Vermesh, Nynke S van den Berg, Eben L Rosenthal, Gooitzen M van Dam, Vasilis Ntziachristos, Sanjiv S Gambhir, Sophie Hernot, Stephan Rogalla

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular imaging and biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–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

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  5. Article
  6. Towards molecular imaging-guided intervention theatres in oncology.European journal of nuclear medicine and molecular imaging · 2024
    Article
  7. Review
  8. A Minimally Invasive Robotic Tissue Palpation Device.IEEE transactions on bio-medical engineering · 2024
    Article
  9. Virtual Staining of Nonfixed Tissue Histology.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2024
    Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Design and Synthesis of SERS Materials for In Vivo Molecular Imaging and Biosensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  16. Review
  17. Article
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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

10 authors.

Israt S AlamMolecular Imaging Program at Stanford, Stanford University, Stanford, CA, USA.
Idan SteinbergMolecular Imaging Program at Stanford, Stanford University, Stanford, CA, USA.
Ophir VermeshMolecular Imaging Program at Stanford, Stanford University, Stanford, CA, USA.
Nynke S van den BergDepartment of Otolaryngology and Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, USA.
Eben L RosenthalDepartment of Otolaryngology and Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, USA.
Gooitzen M van DamSurgery, University Medical Center Groningen, Groningen, The Netherlands.
Vasilis NtziachristosInstitute for Biological and Medical Imaging, Technical University of Munich and Helmholtz Centre Munich, Munich, Germany.
Sanjiv S GambhirMolecular Imaging Program at Stanford, Stanford University, Stanford, CA, USA.
Sophie HernotIn Vivo Cellular and Molecular Imaging (ICMI/BEFY), Vrije Universiteit Brussel, Brussels, Belgium.
Stephan RogallaMolecular Imaging Program at Stanford, Stanford University, Stanford, CA, USA. srogalla@stanford.edu.ORCID http://orcid.org/0000-0002-1311-2672

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intraoperative imaging (IOI) is performed to guide delineation and localization of regions of surgical interest. While oncological surgical planning predominantly utilizes x-ray computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound (US), intraoperative guidance mainly remains on surgeon interpretation and pathology for confirmation. Over the past decades however, intraoperative guidance has evolved significantly with the emergence of several novel imaging technologies, including fluorescence-, Raman, photoacoustic-, and radio-guided approaches. These modalities have demonstrated the potential to further optimize precision in surgical resection and improve clinical outcomes for patients. Not only can these technologies enhance our understanding of the disease, they can also yield large imaging datasets intraoperatively that can be analyzed by deep learning approaches for more rapid and accurate pathological diagnosis. Unfortunately, many of these novel technologies are still under preclinical or early clinical evaluation. Organizations like the Intra-Operative Imaging Study Group of the European Society for Molecular Imaging (ESMI) support interdisciplinary interactions with the aim to improve technical capabilities in the field, an approach that can succeed only if scientists, engineers, and physicians work closely together with industry and regulatory bodies to resolve roadblocks to clinical translation. In this review, we provide an overview of a variety of novel IOI technologies, discuss their challenges, and present future perspectives on the enormous potential of IOI for oncological surgical navigation.

Indexed as

Diagnostic ImagingHumansImaging, Three-DimensionalInventionsMagnetic Resonance ImagingMonitoring, IntraoperativePrecision MedicineSurgery, Computer-AssistedTomography, X-Ray ComputedDeep learningFluorescence imagingImage-guided surgeryIntraoperative imagingOptoacoustic imagingPhotoacoustic imagingRadio-guided surgeryRaman spectrometrySurgical navigationThermoacoustic imaging

Identifiers

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.