Article
Radiology, Nuclear Medicine & Medical Imaging
Heejin Lee, Won Chang, Hae Young Kim, Pamela Sung, Jungheum Cho, Yoon Jin Lee, Young Hoon Kim
Summary: This study demonstrates that using a CNN-based image conversion technique significantly improves the reproducibility of radiomic features in HCCs, highlighting its potential for enhancing radiomics research in HCC patients.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jeong Ah Hwang, Ji Hye Min, Tae Wook Kang, Woo Kyoung Jeong, Young Kon Kim, Seong Eun Ko, Seo-Youn Choi
Summary: The study identified independent imaging and histopathologic factors affecting the washout appearance of hepatocellular carcinoma (HCC) in CT images, including hepatic steatosis, tumor capsule, and mosaic appearance on CT image. Additionally, CT-diagnosed hepatic steatosis was found to be an independent factor for the absence of washout appearance of HCC.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jae Seok Bae, Jeong Min Lee, Se Woo Kim, Sungeun Park, Seungchul Han, Jeong Hee Yoon, Ijin Joo, Hyunsook Hong
Summary: Low-contrast-dose CT using dual-energy CT and deep learning-based denoising techniques is effective in patients at high risk of hepatocellular carcinoma (HCC). The study found that a 40% reduction in contrast medium dose can be achieved with low-contrast-dose CT without impairing HCC conspicuity when using 50-keV and DLD techniques.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hyo-Jin Kang, Jeong Min Lee, Chulkyun Ahn, Jae Seok Bae, Seungchul Han, Se Woo Kim, Jeong Hee Yoon, Joon Koo Han
Summary: This study investigated the image quality and lesion conspicuity of a deep-learning-based contrast-boosting algorithm on double-low-dose CT in high-risk participants for HCC. The results showed that the algorithm improved the visibility of the aorta and portal vein and did not significantly affect the detection rate of HCC.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jingwei Wei, Qian Ji, Yu Gao, Xiaozhen Yang, Donghui Guo, Dongsheng Gu, Chunwang Yuan, Jie Tian, Dawei Ding
Summary: This study developed and validated a newly proposed deep learning model for predicting histopathological grading in HCC, with improved accuracy.
Article
Radiology, Nuclear Medicine & Medical Imaging
Ningbin Luo, Wenzhu Li, Jisheng Xie, Danhui Fu, Lidong Liu, Xiangyang Huang, Danke Su, Guanqiao Jin
Summary: The study found that normalized iodine concentration in the arterial phase from spectral CT is positively correlated with tumor microvessel density and early recurrence in patients with hepatocellular carcinoma. Tumor size and NIC-AP were identified as independent risk factors for early HCC recurrence.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Kai Yang, Jinjin Cao, Nisanard Pisuchpen, Avinash Kambadakone, Rajiv Gupta, Theodore Marschall, Xinhua Li, Bob Liu
Summary: This study quantitatively compares DLIR and ASiR-V with realistic anatomical images. The results show that DLIR has a noise texture closer to FBP and more edge enhancement, but reduced structure similarity compared to ASiR-V. These findings are important for clinical implementation and deployment.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Luuk J. Oostveen, Frederick J. A. Meijer, Frank de Lange, Ewoud J. Smit, Sjoert A. Pegge, Stefan C. A. Steens, Martin J. van Amerongen, Mathias Prokop, Ioannis Sechopoulos
Summary: In the study, the DLR algorithm showed superior image quality compared to Hybrid-IR and MBIR for cerebral non-contrast CT scans, with lower noise and improved tissue differentiation. Although DLR had a slightly longer reconstruction time, it provided significant advantages in image quality over the other two reconstruction methods.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Georgios Kalarakis, Kostas Perisinakis, Evangelos Akoumianakis, Ioannis Karageorgiou, Adam Hatzidakis
Summary: The study showed that doubling the interscan time interval in CT liver perfusion (CTLP) dynamic studies may reduce radiation exposure without affecting the diagnostic efficiency for hepatocellular carcinoma (HCC) evaluation. However, reducing the acquisition duration by half resulted in significantly increased differences in perfusion parameters of HCCs and deteriorated discriminating efficiency of parametric maps. Modified CTLP acquisition protocols were found to involve 48.5% less patient exposure.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Pinxiong Li, Yun Liang, Baozhen Zeng, Guangjun Yang, Chao Zhu, Ke Zhao, Zeyan Xu, Guiqu Wang, Chu Han, Huifen Ye, Zaiyi Liu, Yun Zhu, Changhong Liang
Summary: This study developed a nomogram for preoperative noninvasive prediction of intra-tumoral TLSs in patients with HCC using CT imaging features. The nomogram showed promising diagnostic performance and could be a useful tool in the clinical setting.
EUROPEAN JOURNAL OF RADIOLOGY
(2022)
Review
Radiology, Nuclear Medicine & Medical Imaging
Yuko Nakamura, Toru Higaki, Yukiko Honda, Fuminari Tatsugami, Chihiro Tani, Wataru Fukumoto, Keigo Narita, Shota Kondo, Motonori Akagi, Kazuo Awai
Summary: This review examines the use of advanced imaging techniques such as dual-energy CT, perfusion CT, and artificial intelligence for the precise characterization of liver tumors, treatment response quantification, and overall survival rate prediction in hepatocellular carcinoma (HCC) patients. The advantages and disadvantages of conventional hepatic dynamic CT imaging are discussed, along with the clinical applications and limitations of dual-energy and perfusion CT in the context of HCC. Additionally, the utility of artificial intelligence-based methods for diagnosing HCC is explored.
Article
Radiology, Nuclear Medicine & Medical Imaging
Jan Vosshenrich, Christoph J. Zech, Tobias Heye, Tuyana Boldanova, Geoffrey Fucile, Stefan Wieland, Markus H. Heim, Daniel T. Boll
Summary: This study investigated the use of nested multiparametric decision tree models based on tumor size and CT texture parameters to predict HCC lesion response to TACE treatment. The results showed that these models can accurately predict complete response and progressive disease in HCC lesions.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Gumuyang Zhang, Xiaoxiao Zhang, Lili Xu, Xin Bai, Ru Jin, Min Xu, Jing Yan, Zhengyu Jin, Hao Sun
Summary: This study aimed to evaluate the diagnostic accuracy and image quality of ultra-low-dose computed tomography (ULDCT) with deep learning reconstruction (DLR) for patients with suspected urolithiasis. The results showed that ULDCT-DLR performed comparably to the traditional ULDCT and LDCT in detecting urinary stones and estimating their size, with better image quality and lower radiation exposure. This suggests that ULDCT-DLR may potentially be considered as the first-line choice for evaluating urolithiasis.
EUROPEAN RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Taehee Lee, Kyung Hee Lee, Jong Hyuk Lee, Samina Park, Young Tae Kim, Jin Mo Goo, Hyungjin Kim
Summary: This study developed a CT-based deep learning model for prognostication of lung adenocarcinoma and compared it with a previously developed model. The results showed that the CT-based model can effectively predict patient's survival, and its predictive ability is better than the previous model.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Suji Lee, Young Joo Suh, Kyungsun Nam, Kyeho Lee, Hye-Jeong Lee, Byoung Wook Choi
Summary: Among the three artery-based ordinal grading methods, the length-based method is identified as the most reliable for evaluating coronary artery calcium on non-electrocardiogram (ECG)-gated low-dose chest computed tomography (LDCT), showing highest inter-observer agreement and agreement with ECG-gated calcium scoring CT.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Kyoko Kameyama Nakao, Aki Kido, Koji Fujimoto, Yoshitsugu Chigusa, Sachiko Minamiguchi, Masaki Mandai, Yuji Nakamoto
Summary: This study aimed to evaluate the prognostic capabilities of placental IVIM parameters and T2-relaxation time, and their correlation with fetal growth and adverse outcomes, comparing with umbilical artery pulsatility index (UmA-PI). The results showed that placental f and T2 value (Z-score) had significant associations with low birth weight and clinical adverse outcomes.
Article
Radiology, Nuclear Medicine & Medical Imaging
Tomohisa Okada, Shinya Handa, Bill Ding, Shin-ichi Urayama, Koji Fujimoto, Atsushi Shima, Daisuke Yoshii, Takashi Ayaki, Nobukatsu Sawamoto, Ryosuke Takahashi, Hirotaka Onoe, Tadashi Isa, Labros Petropoulos
Summary: The study aimed to demonstrate the capability of insertable inductively coupled volumetric coils in a human 7T MR system for MR microscopy. Results showed that the insertable coils provided high SNR and modest parallel imaging capability, successfully visualizing fine structures of brain specimens. These coils are easy to handle and enable MR microscopy in a human whole-body 7T MRI system.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Masao Watanabe, Kanae Kawai-Miyake, Yasutaka Fushimi, Takayoshi Ishimori, Aya Nakajima, Michio Yoshimura, Masahiro Kikuchi, Kazuko Ohno, Yuji Nakamoto
Summary: This study compared the qualitative and quantitative performance of fxPET with different attenuation correction methods to WB PET/CT. While fxPET showed inferior image quality compared to WB PET/CT, the detection rates and quantitative values indicated the clinical feasibility of fxPET.
MOLECULAR IMAGING AND BIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yasuyuki Onishi, Hiroyoshi Isoda, Tsuyoshi Ohno, Hironori Shimizu, Kotaro Shimada, Kojiro Taura, Etsuro Hatano, Yuji Nakamoto
Summary: This study evaluated the future liver remnant (FLR) hypertrophy rate in patients undergoing portal vein embolization before left trisectionectomy, finding that PVE is effective in achieving FLR hypertrophy. The study also showed that PVE before left trisectionectomy was equally effective in patients with left portal vein stenosis or occlusion as compared to those without, with acceptable complication rates.
ABDOMINAL RADIOLOGY
(2022)
Review
Radiology, Nuclear Medicine & Medical Imaging
Yuji Nakamoto, Kazuhiro Kitajima, Akira Toriihara, Masatoyo Nakajo, Kenji Hirata
Summary: This article reviews recent studies on PET/MRI, highlighting the diagnostic performance of FDG in oncology and the potential of PSMA PET/MRI for determining biopsy sites. The article also discusses the clinical application of artificial intelligence in PET/MRI imaging and the role of PET/MRI in neuroscience.
ANNALS OF NUCLEAR MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Shunsuke Yuge, Kanae K. Miyake, Takayoshi Ishimori, Masako Kataoka, Yoshiaki Matsumoto, Koji Fujimoto, Tomoharu Sugie, Masakazu Toi, Yuji Nakamoto
Summary: Reproducibility assessment using paired images improved noise discrimination and diagnostic performance in dbPET. Using MRI findings as the gold standard, different criteria were evaluated for the diagnostic performance of dbPET in detecting malignancies.
ANNALS OF NUCLEAR MEDICINE
(2023)
Article
Endocrinology & Metabolism
Hajime Kato, Minae Koga, Yuka Kinoshita, Naoko Hidaka, Yoshitomo Hoshino, Yuichi Takashi, Makoto Arai, Hiroshi Kobayashi, Masaki Katsura, Yuji Nakamoto, Naohiro Makise, Tetsuo Ushiku, Kazuto Hoshi, Masaomi Nangaku, Noriko Makita, Seiji Fukumoto, Nobuaki Ito
Summary: The study evaluated the diagnostic performance of different imaging tests in localizing PMTs and found that the combination of FDG-PET and FGF23VS had the highest success rate in localizing PMTs.
JOURNAL OF THE ENDOCRINE SOCIETY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hirotsugu Nakai, Ryo Sakamoto, Takahide Kakigi, Christophe Coeur, Hiroyoshi Isoda, Yuji Nakamoto
Summary: The purpose of this study was to evaluate the sensitivity of AI-powered software in detecting liver metastases that are overlooked by radiologists. The results showed that the software was able to detect a significant number of overlooked liver metastases while maintaining a relatively low false positive rate.
EUROPEAN JOURNAL OF RADIOLOGY
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Yuji Nakamoto, Shingo Baba, Hayato Kaida, Osamu Manabe, Tomoya Uehara
Summary: Positron emission tomography (PET) with fibroblast activation protein inhibitor (FAPI) has gained attention as a promising tumor diagnostic imaging tool with comparable or superior accuracy to 18F-fluorodeoxyglucose (FDG) PET. FAPI PET can accurately depict most malignant tumors and identify lesions inconclusive on FDG PET. There are also reports suggesting the utility of FAPI PET in non-neoplastic conditions. Multiple radiopharmaceutical FAPIs have been developed with potential therapeutic efficacy.
ANNALS OF NUCLEAR MEDICINE
(2023)
Article
Multidisciplinary Sciences
Tomohisa Okada, Hideto Kuribayashi, Yuta Urushibata, Koji Fujimoto, Thai Akasaka, Ravi Teja Seethamraju, Sinyeob Ahn, Tadashi Isa
Summary: This study investigates the effects of measured macromolecules (MMs) basis and DKNTMN parameter on neurochemical quantification. The results show that using a measured basis and setting DKNTMN to 0.30 in LCModel analysis yields the best results and is recommended for neurochemical quantification.
Article
Radiology, Nuclear Medicine & Medical Imaging
Yasuyuki Onishi, Hironori Shimizu, Shojiro Oka, Takanori Taniguchi, Seiya Kawahara, Yukio Ishisaka, Hiroyoshi Isoda, Yuji Nakamoto
Summary: The study evaluated the technical and clinical success rates of transcatheter arterial embolization (TAE) for subcapsular hematoma of the liver. The results showed that TAE is an effective and safe treatment for subcapsular hematomas of the liver. The success rates of TAE and liver damage due to TAE did not differ between patients with and without retrograde portal venous flow.
ABDOMINAL RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Krishna Pandu Wicaksono, Koji Fujimoto, Yasutaka Fushimi, Akihiko Sakata, Sachi Okuchi, Takuya Hinoda, Satoshi Nakajima, Yukihiro Yamao, Kazumichi Yoshida, Kanae Kawai Miyake, Hitomi Numamoto, Tsuneo Saga, Yuji Nakamoto
Summary: Developed a generative adversarial network (GAN) model to improve image resolution and diagnostic efficacy of brain TOF-MRA. The optimized GAN significantly improved image quality and vessel visibility with comparable sensitivity and specificity in detecting vascular abnormalities.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yasuyuki Onishi, Hironori Shimizu, Hiroyoshi Isoda, Ken Shinozuka, Shigeru Ohtsuru, Yuji Nakamoto
Summary: This study reported the technical details and success rate of transcatheter arterial embolization (TAE) for bleeding from the pancreaticodoudenal artery (PDA) in patients with celiac artery (CA) stenosis. Using two parent catheters, one for CA cannulation and microcatheter advancement and another for superior mesenteric artery (SMA) cannulation and vascular mapping, achieved a 100% technical and clinical success rate.
ACTA RADIOLOGICA OPEN
(2022)
Article
Cardiac & Cardiovascular Systems
Hirotsugu Nakai, Hironori Shimizu, Takanori Taniguchi, Seiya Kawahara, Toshihide Yamaoka, Naoya Sasaki, Hiroyoshi Isoda, Yuji Nakamoto
Summary: This study retrospectively evaluated the long-term outcomes of PV stent placement in patients with PV stenosis/occlusion. It found that stent occlusion was not uncommon, and residual stenosis > 30% after stent placement was significantly associated with stent occlusion.
Review
Radiology, Nuclear Medicine & Medical Imaging
Aki Kido, Yuki Himoto, Yusaku Moribata, Yasuhisa Kurata, Yuji Nakamoto
Summary: Endometriosis is a common chronic inflammatory disease in females of reproductive age, which is closely related to patient symptoms and fertility. MRI can contribute to the early and accurate diagnosis of ovarian endometriotic cysts and deeply infiltrating endometriosis without the need for any invasive procedure or radiation exposure.
KOREAN JOURNAL OF RADIOLOGY
(2022)