- 著者
- Susumu Katsushika Satoshi Kodera Mitsuhiko Nakamoto Kota Ninomiya Nobutaka Kakuda Hiroki Shinohara Ryo Matsuoka Hirotaka Ieki Masae Uehara Yasutomi Higashikuni Koki Nakanishi Tomoko Nakao Norifumi Takeda Katsuhito Fujiu Masao Daimon Jiro Ando Hiroshi Akazawa Hiroyuki Morita Issei Komuro
- 出版者
- The Japanese Circulation Society
- 雑誌
- Circulation Journal (ISSN:13469843)
- 巻号頁・発行日
- vol.86, no.1, pp.87-95, 2021-12-24 (Released:2021-12-24)
- 参考文献数
- 27
- 被引用文献数
- 2 16
Background:Because the early diagnosis of subclinical cardiac sarcoidosis (CS) remains difficult, we developed a deep learning algorithm to distinguish CS patients from healthy subjects using echocardiographic movies.Methods and Results:Among the patients who underwent echocardiography from January 2015 to December 2019, we chose 151 echocardiographic movies from 50 CS patients and 151 from 149 healthy subjects. We trained two 3D convolutional neural networks (3D-CNN) to identify CS patients using a dataset of 212 echocardiographic movies with and without a transfer learning method (Pretrained algorithm and Non-pretrained algorithm). On an independent set of 41 echocardiographic movies, the area under the receiver-operating characteristic curve (AUC) of the Pretrained algorithm was greater than that of Non-pretrained algorithm (0.842, 95% confidence interval (CI): 0.722–0.962 vs. 0.724, 95% CI: 0.566–0.882, P=0.253). The AUC from the interpretation of the same set of 41 echocardiographic movies by 5 cardiologists was not significantly different from that of the Pretrained algorithm (0.855, 95% CI: 0.735–0.975 vs. 0.842, 95% CI: 0.722–0.962, P=0.885). A sensitivity map demonstrated that the Pretrained algorithm focused on the area of the mitral valve.Conclusions:A 3D-CNN with a transfer learning method may be a promising tool for detecting CS using an echocardiographic movie.
- 著者
- Susumu Katsushika Satoshi Kodera Mitsuhiko Nakamoto Kota Ninomiya Nobutaka Kakuda Hiroki Shinohara Ryo Matsuoka Hirotaka Ieki Masae Uehara Yasutomi Higashikuni Koki Nakanishi Tomoko Nakao Norifumi Takeda Katsuhito Fujiu Masao Daimon Jiro Ando Hiroshi Akazawa Hiroyuki Morita Issei Komuro
- 出版者
- The Japanese Circulation Society
- 雑誌
- Circulation Journal (ISSN:13469843)
- 巻号頁・発行日
- pp.CJ-21-0265, (Released:2021-06-26)
- 参考文献数
- 27
- 被引用文献数
- 16
Background:Because the early diagnosis of subclinical cardiac sarcoidosis (CS) remains difficult, we developed a deep learning algorithm to distinguish CS patients from healthy subjects using echocardiographic movies.Methods and Results:Among the patients who underwent echocardiography from January 2015 to December 2019, we chose 151 echocardiographic movies from 50 CS patients and 151 from 149 healthy subjects. We trained two 3D convolutional neural networks (3D-CNN) to identify CS patients using a dataset of 212 echocardiographic movies with and without a transfer learning method (Pretrained algorithm and Non-pretrained algorithm). On an independent set of 41 echocardiographic movies, the area under the receiver-operating characteristic curve (AUC) of the Pretrained algorithm was greater than that of Non-pretrained algorithm (0.842, 95% confidence interval (CI): 0.722–0.962 vs. 0.724, 95% CI: 0.566–0.882, P=0.253). The AUC from the interpretation of the same set of 41 echocardiographic movies by 5 cardiologists was not significantly different from that of the Pretrained algorithm (0.855, 95% CI: 0.735–0.975 vs. 0.842, 95% CI: 0.722–0.962, P=0.885). A sensitivity map demonstrated that the Pretrained algorithm focused on the area of the mitral valve.Conclusions:A 3D-CNN with a transfer learning method may be a promising tool for detecting CS using an echocardiographic movie.
- 著者
- Hiroshi Kadowaki Junichi Ishida Hiroshi Akazawa Hiroki Yagi Akiko Saga-Kamo Masahiko Umei Ryo Matsuoka Qing Liu Hiroshi Matsunaga Hisataka Maki Yusuke Sato Haruki Kume Issei Komuro
- 出版者
- The Japanese Circulation Society
- 雑誌
- Circulation Reports (ISSN:24340790)
- 巻号頁・発行日
- pp.CR-21-0008, (Released:2021-03-10)
- 参考文献数
- 24
- 被引用文献数
- 6
Background:Axitinib is a tyrosine kinase inhibitor (TKI) that inhibits vascular endothelial growth factor receptor signaling and is approved for second-line treatment of advanced renal cell carcinoma (RCC). Although the occurrence of hypertension with axitinib use has been documented, it is unclear whether a first-line TKI regimen can significantly affect the development of hypertension when axitinib is used as second-line therapy.Methods and Results:In this single-center retrospective study, advanced RCC patients treated with axitinib after first-line chemotherapy were divided into 2 groups according to the use of TKIs as part of first-line treatment before the initiation of axitinib. Clinical outcomes were compared between patients who were treated with (TKI(+); n=11) or without (TKI(–); n=11) a TKI. Although 63.6% of all patients had hypertension at baseline, axitinib-induced hypertension developed in 81.8% of patients, and 36.4% of patients experienced Grade 3 hypertension. After initiation of axitinib, both systolic and diastolic blood pressures and the hypertension grade were significantly elevated both in the TKI(+) and TKI(–) groups, and the number of antihypertensive drugs was significantly increased among all patients.Conclusions:This study suggests the need for proper monitoring and management of blood pressure in RCC patients treated with axitinib, regardless of a prior regimen with or without TKIs.
- 著者
- Masahiko Umei Hiroshi Akazawa Akiko Saga-Kamo Hiroki Yagi Qing Liu Ryo Matsuoka Hiroshi Kadowaki Akito Shindo Ayaka Nakashima Kosuke Yasuda Kengo Suzuki Issei Komuro
- 出版者
- The Japanese Circulation Society
- 雑誌
- Circulation Reports (ISSN:24340790)
- 巻号頁・発行日
- vol.4, no.2, pp.83-91, 2022-02-10 (Released:2022-02-10)
- 参考文献数
- 40
- 被引用文献数
- 1
Background:Patients with heart failure (HF) often experience gastrointestinal problems such as constipation, diarrhea, and disturbances to drug absorption. In HF, hypoperfusion and congestion cause structural and functional changes in the gut, which, in turn, lead to impaired cardiac function.Euglena gracilisZ (hereafter “Euglena”), calledMidorimushiin Japanese, is a microalga that is used as a food or nutritional supplement. It is unclear whether Euglena is beneficial for bowel habitus and cardiac function in subjects with HF.Methods and Results:We injected C57BL/6 male mice subcutaneously with isoproterenol (ISO) (20 mg/kg/day) for 7 days to examine bowel movement in HF. Euglena was orally administered to mice on anad libitum-feeding to a normal chow containing 2% dietary mixture. ISO induced a decrease in bowel movement and an increase in fecal retention in the cecum, as well as a decrease in left ventricular (LV) contraction. Euglena accelerated intestinal transit, relieved fecal retention, and prevented the alterations in gut pathology in ISO-treated mice. Euglena also suppressed ISO-induced decreases in LV contraction, although it had no significant effect on LV hypertrophy.Conclusions:The results suggested that oral administration of Euglena alleviated constipation and cardiac dysfunction in a mouse model of ISO-induced HF, and highlight the potential clinical benefit of Euglena in patients with HF in preventing constipation and contractile deterioration.