Evidence map›Paper›PMID 39706458›Full record

ArticleJournal of the American College of Radiology : JACR2025

Using A Surgical Risk Predictor to Estimate Percutaneous Cryoablation Adverse Event Risk: A Single Center Comparative Analysis.

Prisha Patel, Koustav Pal, Hadi Ahmed, Bill Tang, Iwan Paolucci, Mohammad Khavandi, Peiman Habibollahi, Ketan Shah, Steven Y Huang, Bruno C Odisio and 6 more

Abstract readComparative Study
In one paragraph

Article in Journal of the American College of Radiology : JACR, 2025. 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
–field-weighted citation impact
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.

  1. Article
  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

16 authors.

Prisha PatelDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Koustav PalDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Hadi AhmedDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Bill TangDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Iwan PaolucciDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Mohammad KhavandiDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Peiman HabibollahiDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Ketan ShahDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Steven Y HuangDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Bruno C OdisioDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Sanjay GuptaDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Kamran AhrarDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Steven YevichDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Joshua D KubanDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Alda TamDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Rahul A ShethDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas. Electronic address: rasheth@mdanderson.org.

Funding

Novel Biomarkers Predicting Blood Clots in Ovarian CancerR01CA275762 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Vahid Afshar-Kharghan, ANIL K SOOD · 2023 to 2026
$1.9M
An image-guided immunotherapy and hyperthermia delivery device to overcome barriers to tumor immunity for advanced hepatocellular carcinomaR37CA269622 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Rahul Anil Sheth · 2023 to 2026
$1.8M
Medical Students Summer in Oncology at Anderson Research (Med Students SOAR) programR25CA265800 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Jillian Rebecca Gunther, Marites Pasuelo Melancon · 2023 to 2026
$1.3M
NCI NIH HHS R01 CA275762NCI NIH HHS R25 CA265800NCI NIH HHS R37 CA269622
6 · The paper itself

Abstract

objectiveTo evaluate the relevance of established surgical risk calculators for predicting complications in patients undergoing percutaneous lung cryoablation (PLC).

methodsThe institution's database was queried for PLC procedures from March 2015 to May 2024, excluding those patients with concomitant local therapies or five or more lesions treated in a single setting. Demographics, frailty metrics as defined by the surgical literature, and procedural variables were collected. To evaluate the suitability of surgical risk estimate calculators, the requisite demographic data were input into the American College of Surgery surgical risk calculator; estimates for length of stay (LOS), serious complications, 30-day readmission, and mortality were calculated to determine the comparative risk profile were the patients to have undergone surgical wedge resection instead of PLC. Additionally, to evaluate the suitability of imaging predictors of complications, the volume of emphysematous lung was calculated using a machine learning algorithm and incorporated into a generalized estimating equation logistic regression analysis of other demographic and technical variables.

resultsThe study included 217 patients who underwent 314 procedures. Chest tubes were placed in 49% of procedures. The median LOS was 1 day (interquartile range: 1-1, range: 0-13). The median percentage of emphysema within the lungs was 5.9% (interquartile range: 2.4%-12.1%, range: 0.01%-50.3%). The median predicted surgical rates for serious complications (13.5%), 30-day readmission (12%), and 30-day mortality (5.9%) were all greater than actual rates after PLC (1.6%, 4.8%, and 0.3%, respectively). The estimated surgical LOS differed significantly from the actual PLC LOS (5 days versus 1 day, P < .001). In univariable analysis, the number of probes the number of tumors ablated (odds ratio 1.90, 95% confidence interval 1.18-3.05, P = .008) and the number of probes used (odds ratio 1.44, 95% confidence interval 1.06-1.96, P = .021) were significantly associated with increased LOS, but demographic and emphysema details were not.

conclusionComplications after PLC are significantly less frequent than the estimated complication risks for wedge resection in the same patient population. Risk estimate calculators tailored to PLC would help screen for high complication risks related to this procedure.

Indexed as

CryosurgeryLung NeoplasmsPneumonectomyPostoperative ComplicationsAgedFemaleHumansLength of StayMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsACS NSQIPemphysema scorefrailtyinterventional radiologypercutaneous lung cryoablationrisk prediction

Identifiers

PMID39706458
PMCPMC12048224

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Registered trials

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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.