Evidence map›Paper›PMID 38191994›Full record

ArticleEuropean journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery2024

Preoperative predictors of successful tumour localization by intraoperative molecular imaging with pafolacianine in lung cancer to create predictive nomogram.

Patrick Bou-Samra, Jonah Joffe, Austin Chang, Emily Guo, Alix Segil, Feredun Azari, Gregory Kennedy, Azra Din, Wei-Ting Hwang, Sunil Singhal

Open access · greenAbstract read
In one paragraph

Article in European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery, 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
0.8field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

10 authors at 1 institution in 1 country.

Patrick Bou-SamraUniversity of Pennsylvania, Perlman School of Medicine, Department of Surgery, Philadelphia, PA, USA.ORCID 0000-0002-6397-5644
Jonah JoffeUniversity of Pennsylvania, Perlman School of Medicine, Department of Surgery, Philadelphia, PA, USA.
Austin ChangUniversity of Pennsylvania, Perlman School of Medicine, Department of Surgery, Philadelphia, PA, USA.
Emily GuoUniversity of Pennsylvania, Perlman School of Medicine, Department of Surgery, Philadelphia, PA, USA.
Alix SegilUniversity of Pennsylvania, Perlman School of Medicine, Department of Surgery, Philadelphia, PA, USA.
Feredun AzariUniversity of Pennsylvania, Perlman School of Medicine, Department of Surgery, Philadelphia, PA, USA.ORCID 0000-0002-5907-8158
Gregory KennedyUniversity of Pennsylvania, Perlman School of Medicine, Department of Surgery, Philadelphia, PA, USA.
Azra DinUniversity of Pennsylvania, Perlman School of Medicine, Department of Surgery, Philadelphia, PA, USA.
Wei-Ting HwangUniversity of Pennsylvania, Perlman School of Medicine, Department of Surgery, Philadelphia, PA, USA.
Sunil SinghalUniversity of Pennsylvania, Perlman School of Medicine, Department of Surgery, Philadelphia, PA, USA.ORCID 0000-0002-2413-7082
Hospital of the University of Pennsylvania · US

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
TUMOR HYPOXIA, PHOTOSENSITIZER, VASCULARITY AND PDTP01CA087971 · NCI · UNIVERSITY OF PENNSYLVANIA · PI BUSCH, THERESA M, CENGEL, KEITH A · 2001 to 2019
$24.8M
NCI NIH HHS P01 CA087971NCI NIH HHS P30 CA016520
6 · The paper itself

Abstract

objectivesIntraoperative molecular imaging (IMI) uses cancer-targeted fluorescent probe to locate nodules. Pafolacianine is a Food and Drug Administration-approved fluorescent probe for lung cancer. However, it has a 8-12% false negative rate for localization. Our goal is to define preoperative predictors of tumour localization by IMI.

methodsWe performed a retrospective review of patients who underwent IMI using pafolacianine for lung lesions from June 2015 to August 2019. Candidate predictors including sex, age, body mass index, smoking history, tumour size, distance of tumour from surface, use of neoadjuvant therapy and positron emission tomography avidity were included. The outcome was fluorescence in vivo and comprehensively included those who were true or false positives negatives. Multiple imputation was used to handle the missing data. The final model was evaluated using the area under the receiver operating characteristic curve.

resultsThree hundred nine patients were included in our study. The mean age was 64 (standard deviation 13) and 68% had a smoking history. The mean distance of the tumours from the pleural surface was 0.4 cm (standard deviation 0.6). Smoking in pack-years and distance from pleura had an odds ratio of 0.99 [95% confidence interval: 0.98-0.99; P = 0.03] and 0.46 [95% confidence interval: 0.27-0.78; P = 0.004], respectively. The final model had an area under the receiver operating characteristic curve of 0.68 and was used to create a nomogram that gives a probability of fluorescence in vivo.

conclusionsPrimary tumours that are deeper from the pleural surface, especially in patients with a higher pack-years, are associated with a decreased likelihood of intraoperative localization. We identified a nomogram to predict the likelihood of tumour localization with IMI with pafolacianine.

Indexed as

Lung NeoplasmsFluorescent DyesFolic AcidHumansMiddle AgedMolecular ImagingNomogramsRetrospective StudiesFluorescent DyesFolic AcidPafolacianineFalse positive rateIntraoperative molecular imagingPafolacianinePredictive nomogramTumour localization

Identifiers

PMID38191994
PMCPMC11491284
OpenAlexW4390862139

What OpenQuestion holds

Textmetadata
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.