Papers - SUZUKI Tatsuya

Radiologic features of mixed epithelial and stromal tumors of the kidney: Hyperattenuating on unenhanced computed tomography and T2-hypointensity on magnetic resonance imaging

Tatsuya S., Hirotaka A., Yuki A., Akiko T., Masahiro H., Shigeo O., Shuji M., Ryuichi M., Mototsugu O., Masahiro J.

Radiology Case Reports (Radiology Case Reports)  16 ( 4 ) 858 - 862 2021.04

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In the 2016 World Health Organization renal tumor classification, the mixed epithelial and stromal tumor family was introduced as a new entity. This family encompasses a spectrum of tumors, ranging from predominantly cystic tumors (adult cystic nephromas) to tumors that are variably solid (mixed epithelial and stromal tumors). The majority of previous studies incorporating “mixed epithelial and stromal tumor” in the titles were actually reports of imaging findings of adult cystic nephroma. Thus, the solid component of mixed epithelial and stromal tumors has not been well evaluated. In this study, we present 2 cases of mixed epithelial and stromal tumors, as defined by the 2016 World Health Organization classification, showing a predominantly solid component. The characteristic findings of the solid component of these tumors were T2-hypointensity on magnetic resonance imaging and hyperattenuation on unenhanced computed tomography. Angiomyolipoma with epithelial cysts and epithelioid angiomyolipoma should be considered in the differential diagnosis of mixed epithelial and stromal tumors.

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mixed epithelial and stromal tumor ; MEST of the kidney

鈴木達也，有田祐起，秋田大宇，陣崎雅弘

Japanese Journal of Imaging Diagnosis (秀潤社)  41 ( 5 ) 464 - 465 2021.03

Research paper (scientific journal), Joint Work

Clinical utility of the Vesical Imaging-Reporting and Data System for muscle-invasive bladder cancer between radiologists and urologists based on multiparametric MRI including 3D FSE T2-weighted acquisitions

Arita Y., Shigeta K., Akita H., Suzuki T., Kufukihara R., Kwee T.C., Ishii R., Mikami S., Okuda S., Kikuchi E., Oya M., Jinzaki M.

European Radiology (European Radiology)  31 ( 2 ) 875 - 883 2021.02

ISSN  09387994

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Objectives: To investigate the clinical utility of the Vesical Imaging-Reporting and Data System (VI-RADS) by comparing its diagnostic performance for muscle-invasive bladder cancer (MIBC) between radiologists and urologists based on multiparametric MRI, including three-dimensional (3D) fast spin-echo (FSE) T2-weighted acquisitions. Methods: This study included 66 treatment-naïve patients (60 men, 6 women; mean age 74.0 years) with pathologically proven bladder cancer who underwent multiparametric MRI, including 3D FSE T2-weighted imaging, before transurethral bladder tumour resection between January 2010 and November 2018. The MRI scans were categorised according to the five-point VI-RADS score by four independent readers (two board-certified radiologists and board-certified urologists each), blinded to the histopathological findings. The VI-RADS scores were compared with the postoperative histopathological diagnosis. Interobserver agreement was assessed using weighted kappa coefficients. ROC analysis and generalised estimating equations were used to evaluate the diagnostic performance. Results: Forty-nine (74.2%) and 17 (25.8%) tumours were confirmed to be non-MIBC and MIBC, respectively, based on pathological examination. The interobserver agreement was good-to-excellent between all pairs of readers (range, 0.73–0.91). The urologists’ sensitivity/specificity values for DCE-MRI VI-RADS scores were significantly lower than those of radiologists. No significant differences were observed for the overall VI-RADS score. The AUC for the overall VI-RADS score was 0.94, 0.92, 0.89, and 0.87 for radiologists 1 and 2 and urologists 1 and 2, respectively. Conclusions: The VI-RADS score, based on multiparametric MRI including 3D FSE T2-weighted acquisitions, can be useful for radiologists and urologists to determine the bladder cancer muscle invasion status preoperatively. Key Points: • VI-RADS (using multiparametric MRI including 3D FSE T2-weighted acquisitions) achieves good to excellent interobserver agreement and has similar diagnostic performance for detecting muscle invasion by both radiologists and urologists. • The diagnostic performance of the overall VI-RADS score is high for both radiologists and urologists, particularly due to the dominant effect of diffusion-weighted imaging on the overall VI-RADS score. • The sensitivity and specificity values of the T2WI VI-RADS scores for four readers in our study (using 3D FSE T2-weighted acquisitions) were similar (with slightly higher specificity values) to previously published results (using 2D FSE T2-weighted acquisitions).

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Performance of a deep learning-based identification system for esophageal cancer from CT images

Takeuchi M., Seto T., Hashimoto M., Ichihara N., Morimoto Y., Kawakubo H., Suzuki T., Jinzaki M., Kitagawa Y., Miyata H., Sakakibara Y.

Esophagus (Esophagus)   2021

ISSN  16129059

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Background: Because cancers of hollow organs such as the esophagus are hard to detect even by the expert physician, it is important to establish diagnostic systems to support physicians and increase the accuracy of diagnosis. In recent years, deep learning-based artificial intelligence (AI) technology has been employed for medical image recognition. However, no optimal CT diagnostic system employing deep learning technology has been attempted and established for esophageal cancer so far. Purpose: To establish an AI-based diagnostic system for esophageal cancer from CT images. Materials and methods: In this single-center, retrospective cohort study, 457 patients with primary esophageal cancer referred to our division between 2005 and 2018 were enrolled. We fine-tuned VGG16, an image recognition model of deep learning convolutional neural network (CNN), for the detection of esophageal cancer. We evaluated the diagnostic accuracy of the CNN using a test data set including 46 cancerous CT images and 100 non-cancerous images and compared it to that of two radiologists. Results: Pre-treatment esophageal cancer stages of the patients included in the test data set were clinical T1 (12 patients), clinical T2 (9 patients), clinical T3 (20 patients), and clinical T4 (5 patients). The CNN-based system showed a diagnostic accuracy of 84.2%, F value of 0.742, sensitivity of 71.7%, and specificity of 90.0%. Conclusions: Our AI-based diagnostic system succeeded in detecting esophageal cancer with high accuracy. More training with vast datasets collected from multiples centers would lead to even higher diagnostic accuracy and aid better decision making.

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Evaluation of preoperative prediction of intestinal invasion in patients with ovarian cancer

Takeda T., Hayashi S., Kobayashi Y., Tsuji K., Nagai S., Tominaga E., Suzuki T., Okuda S., Banno K., Aoki D.

International Journal of Gynecology and Obstetrics (International Journal of Gynecology and Obstetrics)   2020

ISSN  00207292

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Objective: To optimize prediction for intestinal invasion of epithelial ovarian cancer. It is important to achieve debulking surgery to improve prognosis in ovarian cancer; intestinal resection is adopted if the cancer is invaded and resectable, but the preoperative evaluation method of intestinal invasion is still controversial. Methods: Patients (n = 174) who underwent primary debulking surgery for epithelial ovarian cancer were recruited for retrospective study; 28 and 146 patients were classified into the invasion and non-invasion groups, whether they needed intestinal resection or not. We collected clinical data including evaluation of computed tomography (CT), magnetic resonance imaging (MRI), and barium contrast radiography, and analyzed their accuracy. Results: The sensitivity and specificity for intestinal invasion were 33.3% and 98.6%, 42.9% and 98.6%, and 66.7% and 93.9% in CT, MRI, and barium contrast radiography, respectively. CT and MRI combined showed a sensitivity of 58.3% and specificity of 96.9%; all three methods combined was the most sensitive combination, showing a sensitivity of 79.2% and specificity of 90.8%. Conclusion: Combination of CT, MRI, and barium contrast radiography predicts intestinal invasion with the highest sensitivity. These three modalities, however, could not predict all intestinal invasion. Patients should be informed of the possibility of unexpected extensive resection.

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Discrepancy Between the Clinical and Final Pathological Findings of Lymph Node Metastasis in Superficial Esophageal Cancer

Aoyama J, Kawakubo H, Mayanagi S, Fukuda K, Irino T, Nakamura R, Wada N, Suzuki T, Kameyama K, Kitagawa Y

Annals of Surgical Oncology (Annals of Surgical Oncology)  26 ( 9 ) 2874 - 2881 2019.09

Accepted,  ISSN  10689265

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© 2019, Society of Surgical Oncology. Background: Recent advances in endoscopic examinations have resulted in the detection of a larger number of early esophageal cancers; however, there have been many cases with clinically negative but pathologically positive lymph node metastasis (LNM). In this study, we aimed to evaluate the discrepancy between the clinical and pathological diagnoses of LNM in patients with cT1a-MM/cT1b N0M0 esophageal cancer, and assess LNM size in these patients to clarify the presence of LNM that cannot be detected with current modalities. Methods: This study included 50 patients who underwent surgery for cT1a-MM/cT1b N0M0 thoracic esophageal squamous cell carcinoma between January 2012 and November 2016 at our institution. The maximum size of involved LNs and metastatic nests were measured, and the distribution of LNM was investigated. Results: Of the 50 patients, 13 (26%) had LNM on pathological examination. Lymphatic invasion was significantly more frequent in the LNM-positive group than in the LNM-negative group (p = 0.005). The median sizes of 28 involved LNs and metastatic nests were 3 and 1.6 mm, respectively. Of these LNs, 20 (71%) were classified as micrometastases (≤ 2 mm). The involved nodes were distributed across three fields. Conclusions: There was a discrepancy between the clinical and final pathological findings of LNM in patients with cT1a-MM/cT1b N0M0 esophageal cancer. The detection of involved nodes with current modalities in these patients was difficult because of the small size of LNM. Therefore, continued strong consideration for extended LN dissection is necessary in these patients to ensure appropriate diagnosis and treatment.

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Myocardial T1 values in healthy volunteers measured with saturation method using adaptive recovery times for T1 mapping (SMART1Map) at 1.5 T and 3 T

Matsumoto S., Okuda S., Yamada Y., Suzuki T., Tanimoto A., Nozaki A., Jinzaki M.

Heart and Vessels (Heart and Vessels)  34 ( 11 ) 1889 - 1894 2019

ISSN  09108327

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© 2019, Springer Japan KK, part of Springer Nature. Myocardial T1 mapping is clinically valuable for assessing the myocardium, and modified look-locker inversion-recovery (MOLLI) approaches have been commonly used for measuring myocardial T1 values. To date, several other sequences have been developed for measuring myocardial T1 values, and saturation-recovery-based sequences have been shown to be less dependent on various factors, such as T2 times and magnetization transfer, than inversion-recovery techniques. Systematic differences in T1 values between different sequences have been reported; therefore, definition of the normal range of native T1 values is required before clinical usage can begin. The purpose of this study was to evaluate the reference range and sex dependency of native T1 values in the myocardium measured using one such saturation-recovery sequence, i.e., saturation method using adaptive recovery times for cardiac T1 mapping (SMART1Map). Myocardial T1 values were compared between SMART1Map and MOLLI in 24 young healthy volunteers at 1.5 T and 3 T, and differences in the T1 values between the sexes were assessed. The mean native T1 values in the myocardium were significantly longer with SMART1Map than MOLLI [1530.4 ± 49.2 vs 1222.1 ± 48.9 ms at 3 T (p < 0.001) and 1227.3 ± 41.9 ms vs 1014.8 ± 49.4 ms at 1.5 T (p < 0.001)]. A significant difference between the sexes was observed in the T1 values obtained using each sequence, excluding SMART1Map at 3 T. The SMART1Map has a potential advantage to overcome the shortcoming of MOLLI, which underestimates T1 values; however, the sex-dependent difference remains obscure using SMART1Map.

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妊娠中のX線照射

Suzuki Tatsuya

産婦人科の実際 (金原出版)  66 ( 6 )  2017.06

心臓イメージング 2017 心血管MRIの新しい展開

奥田　茂男、山田　祥岳、松本　俊亮、鈴木 達也、陣崎　雅弘、布川　嘉信、藤代　力也、本松　沙理、渡部　敏男

映像情報Medica 49 ( 3 ) 10 - 15 2017.03

Successful embolisation of intrahepatic portosystemic venous shunt using AMPLATZER Vascular Plug II

Akiko Tomiyama, Sota Oguro, Mayumi Kato, Hiromi Watanabe, Hiroya Yamazaki, Tatsuya Suzuki, Shinichi Tominaga

BJR case reports (the British Institute of Radiology)  3 ( 2 )  2017

炎症性腸疾患のCT診断

鈴木 達也, 田村謙太郎, 陣崎雅弘, 白神伸之

画像診断 36 ( 10 ) 1009 - 1018 2016.08

産婦人科病態への血管の診断と治療【診断編】総論 MRI,MRA

奥田　茂男、秋田　大宇、松本　俊亮、鈴木 達也、大堀　訓明、成田　啓一、陣崎　雅弘

産婦人科の実際 (金原出版)  65 ( 8 ) 895 - 901 2016.08

心臓CTの最近の進歩

山田　祥岳、山田　稔、松本　俊亮、鈴木 達也、橋本　正弘、岡村　哲平、杉浦　弘明、陣崎　雅弘

呼吸と循環 (医学書院)  63 ( 12 ) 1199 - 1207 2015.12

腹部の系統的疾患　膵臓をめぐる症候群・疾患群．

鈴木　達也, 中塚誠之

臨床放射線  2012