Electrophysiological and Histopathological Characteristics of Ventricular Tachycardia Associated With Primary Cardiac Tumors.

Abstract

BACKGROUND:

Ventricular tachycardia (VT) associated with primary cardiac tumors (PCTs) originating from the ventricles is rare, but lethal, in young patients.

OBJECTIVES:

This study aimed to clarify the mechanisms underlying primary cardiac tumor-related ventricular tachycardia (PCT-VT) and establish a therapeutic strategy for this form of VT.

METHODS:

Among 67 patients who underwent surgery for VT at our institute between 1981 and 2020, 4 patients aged 1 to 34 years, including 3 males, showed PCT-VT (fibroma, 2; lipoma, 1; and hamartoma, 1), which was investigated using a combination of intraoperative electroanatomical mapping and histopathological studies.

RESULTS:

All 4 patients developed electrical storms of sustained VTs refractory to multiple drugs and repetitive endocardial ablations. The VT mechanism was re-entry, and intraoperative electroanatomical mapping showed a centrifugal activation pattern originating from the border between the tumor and healthy myocardium, where fractionated potentials were detected during sinus rhythm. Histopathological studies of serial sections of specimens acquired from these areas revealed tumor infiltration into the surrounding myocardium with cell disorganization, exhibiting myocardial disarray. Several myocardia entrapped in the tumor edges contributed to the development and sustainment of re-entrant VT activation. In the 2 patients in whom complete resection was unfeasible, encircling cryoablation to entirely isolate the unresectable tumor was effective in suppressing VT occurrence.

CONCLUSIONS:

The mechanism underlying PCT-VT involves re-entry localized at the tumor edges. Myocardial disarray associated with tumor infiltration is a substrate for this form of VT. Cryoablation along the border between the tumor and myocardium is a promising therapeutic option for unresectable PCT-VT.

• Authors: Hiroshige Murata, Yasushi Miyauchi, Takashi Nitta, Shun-Ichiro Sakamoto, Shinobu Kunugi, Yosuke Ishii, Akira Shimizu, Yuhi Fujimoto, Hiroshi Hayashi, Teppei Yamamoto, Kenji Yodogawa, Mitsunori Maruyama, Shinji Kaneko, Hidemori Hayashi, Kyoko Soejima, Akihiko Nogami, Kuniya Asai, Wataru Shimizu, Yu-Ki Iwasaki
• Journal: JACC. Clinical electrophysiology (JACC Clin Electrophysiol) (Sep 28 2023) ISSN: 2405-5018 [Electronic] United States
• PMID: 37855769 (Publication Type: Journal Article)
• Copyright: Copyright © 2023. Published by Elsevier Inc.