Evidence map›Paper›PMID 33964020›Full record

ArticleMedical physics2021

Microwave ablation of lung tumors: A probabilistic approach for simulation-based treatment planning.

Jan Sebek, Pinyo Taeprasartsit, Henky Wibowo, Warren L Beard, Radoslav Bortel, Punit Prakash

Open access · greenAbstract read
In one paragraph

Article in Medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Image-based computer modeling assessment of microwave ablation for treatment of adrenal tumors.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2022
    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

6 authors at 3 institutions in 3 countries.

Jan SebekDepartment of Electrical and Computer Engineering, Kansas State University Manhattan, KS, 66506, USA.
Pinyo TaeprasartsitPhenoMapper, LLC, San Jose, CA, 95112, USA.
Henky WibowoPhenoMapper, LLC, San Jose, CA, 95112, USA.
Warren L BeardDepartment of Clinical Sciences, Kansas State University, Manhattan, KS, 66506, USA.
Radoslav BortelDepartment of Circuit Theory, Czech Technical University in Prague, Prague, Czech Republic.
Punit PrakashDepartment of Electrical and Computer Engineering, Kansas State University Manhattan, KS, 66506, USA.
Kansas State University · USCzech Technical University in Prague · CZSilpakorn University · TH

Funding

Bronchoscope-guided microwave ablation of early-stage lung tumorsR01CA218357 · NCI · KANSAS STATE UNIVERSITY · PI PRAKASH, PUNIT · 2018 to 2022
$1.3M
Czech Ministry of Education, Youth and Sports OP VVV CZ.02.1.01/0.0/0.0/16_019/0000765NCI NIH HHS R01 CA218357NIH HHS R01CA218357
6 · The paper itself

Abstract

purposeMicrowave ablation (MWA) is a clinically established modality for treatment of lung tumors. A challenge with existing application of MWA, however, is local tumor progression, potentially due to failure to establish an adequate treatment margin. This study presents a robust simulation-based treatment planning methodology to assist operators in comparatively assessing thermal profiles and likelihood of achieving a specified minimum margin as a function of candidate applied energy parameters.

methodsWe employed a biophysical simulation-based probabilistic treatment planning methodology to evaluate the likelihood of achieving a specified minimum margin for candidate treatment parameters (i.e., applied power and ablation duration for a given applicator position within a tumor). A set of simulations with varying tissue properties was evaluated for each considered combination of power and ablation duration, and for four different scenarios of contrast in tissue biophysical properties between tumor and normal lung. A treatment planning graph was then assembled, where distributions of achieved minimum ablation zone margins and collateral damage volumes can be assessed for candidate applied power and treatment duration combinations. For each chosen power and time combination, the operator can also visualize the histogram of ablation zone boundaries overlaid on the tumor and target volumes. We assembled treatment planning graphs for generic 1, 2, and 2.5 cm diameter spherically shaped tumors and also illustrated the impact of tissue heterogeneity on delivered treatment plans and resulting ablation histograms. Finally, we illustrated the treatment planning methodology on two example patient-specific cases of tumors with irregular shapes.

resultsThe assembled treatment planning graphs indicate that 30 W, 6 min ablations achieve a 5-mm minimum margin across all simulated cases for 1-cm diameter spherical tumors, and 70 W, 10 min ablations achieve a 3-mm minimum margin across 90% of simulations for a 2.5-cm diameter spherical tumor. Different scenarios of tissue heterogeneity between tumor and lung tissue revealed 2 min overall difference in ablation duration, in order to reliably achieve a 4-mm minimum margin or larger each time for 2-cm diameter spherical tumor.

conclusionsAn approach for simulation-based treatment planning for microwave ablation of lung tumors is illustrated to account for the impact of specific geometry of the treatment site, tissue property uncertainty, and heterogeneity between the tumor and normal lung.

Indexed as

Ablation TechniquesCatheter AblationLung NeoplasmsRadiofrequency AblationComputer SimulationHumansMicrowavesablation minimum marginablation treatment planninglung ablationmicrowave ablation

Identifiers

PMID33964020
PMCPMC8319071
OpenAlexW3157935975

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.