Evidence map›Paper›PMID 26366539›Full record

Trial reportAnnals of surgery2015

The Optical Biopsy: A Novel Technique for Rapid Intraoperative Diagnosis of Primary Pulmonary Adenocarcinomas.

Gregory T Kennedy, Olugbenga T Okusanya, Jane J Keating, Daniel F Heitjan, Charuhas Deshpande, Leslie A Litzky, Steven M Albelda, Jeffrey A Drebin, Shuming Nie, Philip S Low and 1 more

Open access · greenAbstract readClinical Trial
In one paragraph

Trial report in Annals of surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

50 citing papers in PubMed, 81 citations in OpenAlex.

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  14. Review
  15. Precision Surgery Guided by Intraoperative Molecular Imaging.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Review
  16. Article
  17. Intraoperative Molecular Imaging of Lung Cancer: A Review.Surgical oncology clinics of North America · 2022
    Review
  18. Targeted detection of cancer cells during biopsy allows real-time diagnosis of pulmonary nodules.European journal of nuclear medicine and molecular imaging · 2022
    Article
  19. Article
  20. 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

11 authors at 3 institutions in 1 country.

Gregory T Kennedy*Department of Surgery, University of Pennsylvania School of Medicine and Philadelphia Veterans Affairs Medical Center, Philadelphia, PA †Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA ‡Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA §Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA ¶Departments of Biomedical Engineering and Chemistry, Emory University, Atlanta, GA ||Department of Chemistry, Purdue University, West Lafayette, IN.
Olugbenga T Okusanya
Jane J Keating
Daniel F Heitjan
Charuhas Deshpande
Leslie A Litzky
Steven M Albelda
Jeffrey A Drebin
Shuming Nie
Philip S Low
Sunil Singhal
University of Pennsylvania · USEmory University · USPurdue University West Lafayette · US

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
Near infrared intraoperative molecular imaging of lung adenocarcinomaR01CA193556 · NCI · UNIVERSITY OF PENNSYLVANIA · PI LOW, PHILIP STEWART, SINGHAL, SUNIL · 2016 to 2020
$3.3M
CSRD VA I01 CX001189NCI NIH HHS P30 CA016520NCI NIH HHS R01 CA193556
6 · The paper itself

Abstract

backgroundWith increasing use of chest computed tomography scans, indeterminate pulmonary nodules are frequently detected as an incidental finding and present a diagnostic challenge. Tissue biopsy followed by histological review and immunohistochemistry is the gold standard to obtain a diagnosis and the most common malignant finding is a primary lung adenocarcinoma. Our objective was to determine whether an intraoperative optical biopsy (molecular imaging) may provide an alternative approach for determining if a pulmonary nodule is a primary lung adenocarcinoma.

methodsBefore surgery, 30 patients with an indeterminate pulmonary nodule were intravenously administered a folate receptor-targeted fluorescent contrast agent specific for primary lung adenocarcinomas. During surgery, the nodule was removed and the presence of fluorescence (optical biopsy) was assessed in the operating room to determine if the nodule was a primary pulmonary adenocarcinoma. Standard-of-care frozen section and immunohistochemical staining on permanent sections were then performed as the gold standard to validate the results of the optical biopsy.

resultsOptical biopsies identified 19 of 19 (100%) primary pulmonary adenocarcinomas. There were no false positive or false negative diagnoses. An optical biopsy required 2.4 minutes compared to 26.5 minutes for frozen section (P < 0.001) and it proved more accurate than frozen section in diagnosing lung adenocarcinomas.

conclusionsAn optical biopsy has excellent positive predictive value for intraoperative diagnosis of primary lung adenocarcinomas. With refinement, this technology may prove to be an important supplement to standard pathology for examining close surgical margins, identifying lymph node involvement, and determining whether suspicious nodules are malignant.

Indexed as

AdenocarcinomaAdenocarcinoma of LungAdultAgedBiopsyFemaleFluorescein-5-isothiocyanateFolic AcidFrozen SectionsHumansIntraoperative PeriodLungLung NeoplasmsMaleMiddle AgedOptical ImagingFluorescein-5-isothiocyanateFolic Acid

Identifiers

PMID26366539
PMCPMC10987081
OpenAlexW2405349986

What OpenQuestion holds

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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.