Superiority of the Combination of Input and Output Parameters to the Single Parameter for Lesion Size Estimation.


Journal

Circulation journal : official journal of the Japanese Circulation Society
ISSN: 1347-4820
Titre abrégé: Circ J
Pays: Japan
ID NLM: 101137683

Informations de publication

Date de publication:
24 11 2023
Historique:
medline: 28 11 2023
pubmed: 30 10 2023
entrez: 29 10 2023
Statut: ppublish

Résumé

For lesion size prediction, each input parameter, including ablation energy (AE), and output parameter, such as impedance, is individually used. We hypothesize that using both parameters simultaneously may be more optimal.Methods and Results: Radiofrequency applications at a range of power (30-50 W), contact force (10 g and 20 g), duration (10-60 s), and catheter orientation with normal saline (NS)- or half-normal saline (HNS)-irrigation were performed in excised porcine hearts. The correlations, with lesion size of AE, absolute impedance drop (∆Imp-drop), relative impedance drop (%Imp-drop), and AE*%Imp-drop were examined. Lesion size was analyzed in 283 of 288 lesions (NS-irrigation, n=142; HNS-irrigation, n=141) without steam pops. AE*%Imp-drop consistently showed the strongest correlations with lesion maximum depth (NS-irrigation, ρ=0.91; HNS-irrigation, ρ=0.94), surface area (NS-irrigation, ρ=0.87; HNS-irrigation, ρ=0.86), and volume (NS-irrigation, ρ=0.94; HNS-irrigation, ρ=0.94) compared with the other parameters. Moreover, compared with AE alone, AE*%Imp-drop significantly improved the strength of correlation with lesion maximum depth (AE vs. AE*%Imp-drop, ρ=0.83 vs. 0.91, P<0.01), surface area (ρ=0.73 vs. 0.87, P<0.01), and volume (ρ=0.84 vs. 0.94, P<0.01) with NS-irrigation. This tendency was also observed with HNS-irrigation. Parallel catheter orientation showed a better correlation with lesion depth and volume using ∆Imp-drop, %Imp-drop, and AE*%Imp-drop than perpendicular orientation. The combination of input and output parameters is more optimal than each single parameter for lesion prediction.

Sections du résumé

BACKGROUND
For lesion size prediction, each input parameter, including ablation energy (AE), and output parameter, such as impedance, is individually used. We hypothesize that using both parameters simultaneously may be more optimal.Methods and Results: Radiofrequency applications at a range of power (30-50 W), contact force (10 g and 20 g), duration (10-60 s), and catheter orientation with normal saline (NS)- or half-normal saline (HNS)-irrigation were performed in excised porcine hearts. The correlations, with lesion size of AE, absolute impedance drop (∆Imp-drop), relative impedance drop (%Imp-drop), and AE*%Imp-drop were examined. Lesion size was analyzed in 283 of 288 lesions (NS-irrigation, n=142; HNS-irrigation, n=141) without steam pops. AE*%Imp-drop consistently showed the strongest correlations with lesion maximum depth (NS-irrigation, ρ=0.91; HNS-irrigation, ρ=0.94), surface area (NS-irrigation, ρ=0.87; HNS-irrigation, ρ=0.86), and volume (NS-irrigation, ρ=0.94; HNS-irrigation, ρ=0.94) compared with the other parameters. Moreover, compared with AE alone, AE*%Imp-drop significantly improved the strength of correlation with lesion maximum depth (AE vs. AE*%Imp-drop, ρ=0.83 vs. 0.91, P<0.01), surface area (ρ=0.73 vs. 0.87, P<0.01), and volume (ρ=0.84 vs. 0.94, P<0.01) with NS-irrigation. This tendency was also observed with HNS-irrigation. Parallel catheter orientation showed a better correlation with lesion depth and volume using ∆Imp-drop, %Imp-drop, and AE*%Imp-drop than perpendicular orientation.
CONCLUSIONS
The combination of input and output parameters is more optimal than each single parameter for lesion prediction.

Identifiants

pubmed: 37899173
doi: 10.1253/circj.CJ-23-0574
doi:

Substances chimiques

Saline Solution 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1757-1764

Auteurs

Hidehiro Iwakawa (H)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University.
Department of Cardiovascular Medicine, Akita University Graduate School of Medicine.

Masateru Takigawa (M)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University.

Junji Yamaguchi (J)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University.

Claire A Martin (CA)

Royal Papworth Hospital.

Masahiko Goya (M)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University.

Tasuku Yamamoto (T)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University.

Miki Amemiya (M)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University.

Takashi Ikenouchi (T)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University.

Miho Negishi (M)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University.

Iwanari Kawamura (I)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University.

Kentaro Goto (K)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University.

Takatoshi Shigeta (T)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University.

Takuro Nishimura (T)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University.

Tomomasa Takamiya (T)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University.

Susumu Tao (S)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University.

Shinsuke Miyazaki (S)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University.

Hiroyuki Watanabe (H)

Department of Cardiovascular Medicine, Akita University Graduate School of Medicine.

Tetsuo Sasano (T)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University.

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