Evidence map›Paper›PMID 37268735›Full record

ArticleCardiovascular and interventional radiology2023

Gradient-based Volumetric PET Parameters on Immediate Pre-ablation FDG-PET Predict Local Tumor Progression in Patients with Colorectal Liver Metastasis Treated by Microwave Ablation.

Mahdi Zirakchian Zadeh, Randy Yeh, Assen S Kirov, Henry S Kunin, Mithat Gönen, Vlasios S Sotirchos, Kevin S Soares, Constantinos T Sofocleous

Abstract read
PubMed Publisher
In one paragraph

Article in Cardiovascular and interventional radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Advancements and Future Outlook of PET/CT-Guided Interventions.Techniques in vascular and interventional radiology · 2023
    Review
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

8 authors at 1 institution in 1 country.

Mahdi Zirakchian ZadehInterventional Oncology/Radiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, IR Suite H118, New York, NY, 10075, USA.
Randy YehMolecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Assen S KirovDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Henry S KuninInterventional Oncology/Radiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, IR Suite H118, New York, NY, 10075, USA.
Mithat GönenBiostatistics Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Vlasios S SotirchosInterventional Oncology/Radiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, IR Suite H118, New York, NY, 10075, USA.
Kevin S SoaresDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Constantinos T SofocleousInterventional Oncology/Radiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, IR Suite H118, New York, NY, 10075, USA. sofoclec@mskcc.org.ORCID http://orcid.org/0000-0002-3142-1399
Memorial Sloan Kettering Cancer Center · US

Funding

NIH HHS R01 CA240569-01
6 · The paper itself

Abstract

purposeThis study aimed to evaluate the optimal method of segmentation of colorectal liver metastasis (CLM) on immediate pre-ablation PET scans and assess the prognostic value of quantitative pre-ablation PET parameters with regards to local tumor control. A secondary objective was to correlate the target tumor size estimation by PET methods with the tumor measurements on anatomical imaging. METHODOLOGY: A prospectively accrued cohort of 55 CLMs (46 patients) treated with real-time

resultsAUCs for prediction of LTP obtained from time-dependent ROC analysis for the gradient technique were higher in comparison to the threshold methodologies (AUCs for TLG and volume were: 0.790 and 0.807, respectively). ICC between PET gradient-based and anatomical measurements were higher in comparison to threshold methodologies (ICC for the longest diameter: 733 (95.0% CI 0.538-0.846), ICC for the shortest diameter: .747 (95.0% CI 0.546-0.859), p-values < 0.001).

conclusionsThe gradient-based technique had a higher AUC for prediction of LTP after microwave ablation of CLM and showed the highest correlation with anatomical imaging tumor measurements.

Indexed as

Colorectal NeoplasmsLiver NeoplasmsFluorodeoxyglucose F18HumansMicrowavesPositron-Emission TomographyPositron Emission Tomography Computed TomographyPrognosisRadiopharmaceuticalsRetrospective StudiesTumor BurdenFluorodeoxyglucose F18Radiopharmaceuticals18F-FDG-PETColorectal liver metastasisLocal tumor progressionPET/CT guided ablationPET parametersPET SegmentationTumor ablation

Identifiers

PMID37268735
OpenAlexW4379117650

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.