Evidence map›Paper›PMID 30986416›Full record

ArticleThe Annals of thoracic surgery2019

Utility of Core Biopsy Specimen to Identify Histologic Subtype and Predict Outcome for Lung Adenocarcinoma.

Tae Hee Kim, Darren Buonocore, Elena Nadia Petre, Jeremy C Durack, Majid Maybody, Rocio P Johnston, William D Travis, Prasad S Adusumilli, Stephen B Solomon, Etay Ziv

Open access · greenAbstract read
In one paragraph

Article in The Annals of thoracic surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Radiogenomics in Interventional Oncology.Current oncology reports · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Tae Hee KimInterventional Radiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
Darren BuonocoreThoracic Pathology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Elena Nadia PetreInterventional Radiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
Jeremy C DurackInterventional Radiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
Majid MaybodyInterventional Radiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
Rocio P JohnstonBody Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
William D TravisThoracic Pathology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Prasad S AdusumilliThoracic Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
Stephen B SolomonInterventional Radiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
Etay ZivInterventional Radiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: zive@mskcc.org.
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundLung adenocarcinoma histologic subtype is an important indicator of patient outcomes, so preoperative knowledge of subtype may be helpful to guide surgical planning. We evaluated the sensitivity and prognostic efficacy of specimens from computed tomography-guided core needle biopsies to predict histologic subtype and patient outcome after surgery.

methodsWe retrospectively identified 221 patients with lung adenocarcinoma who underwent computed tomography-guided lung biopsy and subsequent surgical resection. Concordance, accuracy, specificity, and sensitivity of histologic subtypes from core biopsy specimens were compared with surgically resected specimens. Tumor characteristics and biopsy procedural factors were analyzed to determine impact on diagnostic sensitivity. Histologic subtype based on biopsy specimen, clinical, tumor, and treatment variables were also examined in relation to time to progression.

resultsOverall concordance of biopsy samples with the predominant subtype from surgical specimens was 77%. Specificity (sensitivity) of detecting a nonaggressive and aggressive subtype were 86% (93%) and 95% (48%), respectively. Length of core specimen and percentage subtype composition in the surgically resected specimen were correlated with improved sensitivity but to a lesser extent with aggressive subtypes. Presence of an aggressive subtype in biopsy specimens was an independent predictor of progression after surgery (subdistribution hazard ratio, 2.51; 95% confidence interval, 1.28-4.94; p = 0.0075).

conclusionsSpecimens from computed tomography-guided core biopsies can predict lung adenocarcinoma progression after surgical resection. Future prospective studies should address the role of core biopsy in preoperative planning.

Indexed as

Adenocarcinoma of LungAdultAgedAged, 80 and overBiopsy, Large-Core NeedleFemaleHumansImage-Guided BiopsyLungMaleMiddle AgedNeoplasm StagingReproducibility of ResultsRetrospective StudiesTomography, X-Ray Computed

Identifiers

PMID30986416
PMCPMC7521186
OpenAlexW2936918890

What OpenQuestion holds

Textmetadata
LicenceTDM
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.