Evidence map›Paper›PMID 32761408›Full record

ArticleEJNMMI research2020

A DROP-IN beta probe for robot-assisted

Francesco Collamati, Matthias N van Oosterom, Micol De Simoni, Riccardo Faccini, Marta Fischetti, Carlo Mancini Terracciano, Riccardo Mirabelli, Roberto Moretti, Judith Olde Heuvel, Elena Solfaroli Camillocci and 6 more

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
4.1field-weighted citation impact, top 5% of its field
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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Lessons learned in application driven imaging agent design for image-guided surgery.European journal of nuclear medicine and molecular imaging · 2024
    Review
  12. Review
  13. Review
  14. Article
  15. Robot-Assisted Prostate-Specific Membrane Antigen-Radioguided Surgery in Primary Diagnosed Prostate Cancer.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Article
  16. The current status and future prospects for molecular imaging-guided precision surgery.Cancer imaging : the official publication of the International Cancer Imaging Society · 2022
    Review
  17. Review
  18. Review
  19. Article
  20. Optical Navigation of the Drop-In γ-Probe as a Means to Strengthen the Connection Between Robot-Assisted and Radioguided Surgery.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021
    Article
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

16 authors at 4 institutions in 3 countries.

Francesco CollamatiIstituto Nazionale di Fisica Nucleare, Sezione di Roma, Piazzale Aldo Moro 2, 00185, Rome, Italy.
Matthias N van OosteromInterventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands.
Micol De SimoniIstituto Nazionale di Fisica Nucleare, Sezione di Roma, Piazzale Aldo Moro 2, 00185, Rome, Italy.
Riccardo FacciniIstituto Nazionale di Fisica Nucleare, Sezione di Roma, Piazzale Aldo Moro 2, 00185, Rome, Italy. Riccardo.faccini@uniroma1.it.ORCID http://orcid.org/0000-0003-2613-5141
Marta FischettiIstituto Nazionale di Fisica Nucleare, Sezione di Roma, Piazzale Aldo Moro 2, 00185, Rome, Italy.
Carlo Mancini TerraccianoIstituto Nazionale di Fisica Nucleare, Sezione di Roma, Piazzale Aldo Moro 2, 00185, Rome, Italy.
Riccardo MirabelliIstituto Nazionale di Fisica Nucleare, Sezione di Roma, Piazzale Aldo Moro 2, 00185, Rome, Italy.
Roberto MorettiDipartimento di Fisica, Università di Roma Sapienza, Piazzale Aldo Moro 5, 00185, Rome, Italy.
Judith Olde HeuvelDepartment of Nuclear Medicine, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Elena Solfaroli CamillocciIstituto Nazionale di Fisica Nucleare, Sezione di Roma, Piazzale Aldo Moro 2, 00185, Rome, Italy.
Florian van BeurdenInterventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands.
Henk G van der PoelDepartment of Urology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek, Amsterdam, The Netherlands.
Renato A Valdes OlmosInterventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands.
Pim J van LeeuwenDepartment of Urology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek, Amsterdam, The Netherlands.
Fijs W B van LeeuwenInterventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands.
Silvio MorgantiIstituto Nazionale di Fisica Nucleare, Sezione di Roma, Piazzale Aldo Moro 2, 00185, Rome, Italy.
Istituto Nazionale di Fisica Nucleare · ITLeiden University Medical Center · NLThe Netherlands Cancer Institute · NLUniversità Cattolica del Sacro Cuore · IT

Funding

Sapienza Università di Roma RM116154C8EF4FBC
6 · The paper itself

Abstract

backgroundRecently, a flexible DROP-IN gamma-probe was introduced for robot-assisted radioguided surgery, using traditional low-energy SPECT-isotopes. In parallel, a novel approach to achieve sensitive radioguidance using beta-emitting PET isotopes has been proposed. Integration of these two concepts would allow to exploit the use of PET tracers during robot-assisted tumor-receptor-targeted. In this study, we have engineered and validated the performance of a novel DROP-IN beta particle (DROP-IN

methodsSeven prostate cancer patients with PSMA-PET positive tumors received an additional intraoperative injection of ~ 70 MBq

resultsAfter optimization of the detector and probe housing via Monte Carlo simulations, the resulting DROP-IN

conclusionsThis study demonstrates the feasibility of beta-radioguided surgery in a robotic context by means of a DROP-IN

Indexed as

Beta particle detectionPETProstate cancerPSMARadioguided surgeryRobot-assisted surgery

Identifiers

PMID32761408
PMCPMC7410888
OpenAlexW3047570836

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.