Faculty Profiles - YOSHIURA, TAKASHI

Papers - YOSHIURA, TAKASHI

Division display 41 - 60 of about 315 ／ All the affair displays >>

TAKUMI Koji, NAGANO Hiroaki, IWANAGA Takashi, OTSUKA Hirokazu, FUKUKURA Yoshihiko, AKAMINE Yuta, YOSHIURA Takashi . A Phantom Study of chemoCEST Imaging for the Detection of Anticancer Agents Using Clinical 3T MRI [Presidential Award Proceedings] . Japanese Journal of Magnetic Resonance in Medicine42 ( 2 ) 58 - 61 2022.5

Language：Japanese Publisher：Japanese Society for Magnetic Resonance in Medicine

The purpose of this phantom study was to assess the effectiveness of chemical exchange saturation transfer imaging (CEST) for detecting anticancer agents (chemoCEST) using clinical 3T MRI. The magnetization transfer ratio asymmetry (MTRasym) was used to map the chemoCEST contrast, which demonstrated that the anticancer drug concentration was proportional to chemoCEST. CEST MR was used to identify the anticancer drugs which corresponded to the amide (-NH2) and hydroxyl (-OH) groups. chemoCEST imaging can serve as a new imaging tool to detect anticancer drugs and monitor their delivery.

DOI： 10.2463/jjmrm.2021-1753

内匠浩二, 長野広明, 岩永崇, 大塚洋和, 福倉良彦, 赤嶺雄太, 吉浦敬 . 抗がん剤を検出するchemoCESTイメージングの実現可能性に関するファントム評価 . 日本磁気共鳴医学会雑誌42 ( 2 ) 58 - 61 2022.5抗がん剤を検出するchemoCESTイメージングの実現可能性に関するファントム評価

福倉良彦, 吉浦敬 . 特集膵癌早期診断のイノベーションを求めて CT･MRIによる早期膵癌発見へのイノベーション-dual energy CT とhigh b value(computed)DWI の可能性 . 画像診断42 ( 3 ) 286 - 295 2022.2

Nakajo M. . Machine learning based evaluation of clinical and pretreatment 18F-FDG-PET/CT radiomic features to predict prognosis of cervical cancer patients . Abdominal Radiology47 ( 2 ) 838 - 847 2022.2

Language：Japanese Publisher：Abdominal Radiology

Purpose: To examine the usefulness of machine learning to predict prognosis in cervical cancer using clinical and radiomic features of 2-deoxy-2-[18F]fluoro-D-glucose (18F-FDG) positron emission tomography/computed tomography (CT) (18F-FDG-PET/CT). Methods: This retrospective study included 50 cervical cancer patients who underwent 18F-FDG-PET/CT before treatment. Four clinical (age, histology, stage, and treatment) and 41 18F-FDG-PET-based radiomic features were ranked and a subset of useful features for association with disease progression was selected based on decrease of the Gini impurity. Six machine learning algorithms (random forest, neural network, k-nearest neighbors, naive Bayes, logistic regression, and support vector machine) were compared using the areas under the receiver operating characteristic curve (AUC). Progression-free survival (PFS) was assessed using Cox regression analysis. Results: The five top predictors of disease progression were: stage, surface area, metabolic tumor volume, gray-level run length non-uniformity (GLRLM_RLNU), and gray-level non-uniformity for run (GLRLM_GLNU). The naive Bayes model was the best-performing classifier for predicting disease progression (AUC = 0.872, accuracy = 0.780, F1 score = 0.781, precision = 0.788, and recall = 0.780). In the naive Bayes model, 5-year PFS was significantly higher in predicted non-progression than predicted progression (80.1% vs. 9.1%, p < 0.001) and was only the independent factor for PFS in multivariate analysis (HR, 6.89; 95% CI, 1.92–24.69; p = 0.003). Conclusion: A machine learning approach based on clinical and pretreatment 18F-FDG PET-based radiomic features may be useful for predicting tumor progression in cervical cancer patients.

DOI： 10.1007/s00261-021-03350-y

Scopus

PubMed

Eizuru Y. . 18F-FDG PET/CT Imaging of G-CSF-Producing Dedifferentiated Liposarcoma . Clinical nuclear medicine47 ( 1 ) e98 - e100 2022.1

Language：Japanese Publisher：Clinical nuclear medicine

ABSTRACT: Granulocyte colony-stimulating factor (G-CSF)-producing tumors are malignant tumors associated with a poor prognosis, and G-CSF-producing liposarcoma is particularly rare. We report a case of G-CSF-producing dedifferentiated liposarcoma. 18F-FDG PET/CT showed abnormal 18F-FDG uptake throughout the bone marrow and in the primary site. When a diffuse bone marrow 18F-FDG uptake was observed on 18F-FDG PET/CT, G-CSF-producing dedifferentiated liposarcoma should be included in the differential diagnosis.

DOI： 10.1097/RLU.0000000000003783

Scopus

PubMed

Nagano H. . Dual-Energy CT-Derived Electron Density for Diagnosing Metastatic Mediastinal Lymph Nodes in Non-Small Cell Lung Cancer: Comparison With Conventional CT and FDG PET/CT Findings . American Journal of Roentgenology218 ( 1 ) 66 - 74 2022.1

Language：Japanese Publisher：American Journal of Roentgenology

BACKGROUND. Accurate nodal staging is essential to guide treatment selection in patients with non-small cell lung cancer (NSCLC). To our knowledge, measurement of electron density (ED) using dual-energy CT (DECT) is unexplored for this purpose. OBJECTIVE. The purpose of our study was to assess the utility of ED from DECT in diagnosing metastatic mediastinal lymph nodes in patients with NSCLC in comparison with conventional CT and FDG PET/CT. METHODS. This retrospective study included 57 patients (36 men, 21 women; mean age, 68.4 } 8.9 [SD] years) with NSCLC and surgically resected mediastinal lymph nodes who underwent preoperative DECT and FDG PET/CT. The patients had a total of 117 resected mediastinal lymph nodes (33 metastatic, 84 nonmetastatic). Two radiologists independently reviewed the morphologic features of nodes on the 120-kVp images and also measured the iodine concentration (IC) and ED of nodes using maps generated from DECT data; consensus was reached for discrepancies. Two different radiologists assessed FDG PET/CT examinations in consensus for positive node uptake. Diagnostic performance was evaluated for individual and pairwise combinations of features. RESULTS. The sensitivity, specificity, and accuracy for nodal metastasis were 15.2%, 98.8%, and 75.2% for the presence of necrosis, respectively; 54.5%, 85.7%, and 76.9% for short-axis diameter greater than 8.5 mm; 63.6%, 73.8%, and 70.9% for long-axis diameter greater than 13.0 mm; 51.5%, 79.8%, and 71.8% for attenuation on 120-kVp images of 95.8 HU or less; 87.9%, 58.3%, and 66.7% for ED of 3.48 × 1023/cm3 or less; and 66.7%, 75.0%, and 72.6% for positive FDG uptake. Among pairwise combinations of features, accuracy was highest for the combination of ED and short-axis diameter (accuracy, 82.9%; sensitivity, 54.5%; specificity, 94.0%) and the combination of ED and positive FDG uptake (accuracy, 82.1%; sensitivity, 60.6%; specificity, 90.5%); these accuracies were greater than those for the individual features (p < .05). The remaining combinations exhibited accuracies ranging from 74.4% to 77.8%. Interobserver agreement analysis showed an intraclass correlation coefficient of 0.90 for ED. IC was not significantly different between metastatic and nonmetastatic nodes (p = .18) and was excluded from the diagnostic performance analysis. CONCLUSION. ED derived from DECT may help diagnose metastatic lymph nodes in NSCLC given decreased ED in metastatic nodes.

DOI： 10.2214/AJR.21.26208

Scopus

PubMed

Nakajo M. . The Usefulness of Machine Learning–Based Evaluation of Clinical and Pretreatment [18F]-FDG-PET/CT Radiomic Features for Predicting Prognosis in Hypopharyngeal Cancer . Molecular Imaging and Biology25 ( 2 ) 303 - 313 2022

Language：Japanese Publisher：Molecular Imaging and Biology

Purpose: To examine whether the machine learning (ML) analyses using clinical and pretreatment 2-deoxy-2-[18F]fluoro-d-glucose positron emission tomography ([18F]-FDG-PET)–based radiomic features were useful for predicting prognosis in patients with hypopharyngeal cancer. Procedures: This retrospective study included 100 patients with hypopharyngeal cancer who underwent [18F]-FDG-PET/X-ray computed tomography (CT) before treatment, and these patients were allocated to the training (n=80) and validation (n=20) cohorts. Eight clinical (age, sex, histology, T stage, N stage, M stage, UICC stage, and treatment) and 40 [18F]-FDG-PET–based radiomic features were used to predict disease progression. A feature reduction procedure based on the decrease of the Gini impurity was applied. Six ML algorithms (random forest, neural network, k-nearest neighbors, naïve Bayes, logistic regression, and support vector machine) were compared using the area under the receiver operating characteristic curve (AUC). Progression-free survival (PFS) was assessed using Cox regression analysis. Results: The five most important features for predicting disease progression were UICC stage, N stage, gray level co-occurrence matrix entropy (GLCM_Entropy), gray level run length matrix run length non-uniformity (GLRLM_RLNU), and T stage. Patients who experienced disease progression displayed significantly higher UICC stage, N stage, GLCM_Entropy, GLRLM_RLNU, and T stage than those without progression (each, p<0.001). In both cohorts, the logistic regression model constructed by these 5 features was the best performing classifier (training: AUC=0.860, accuracy=0.800; validation: AUC=0.803, accuracy=0.700). In the logistic regression model, 5-year PFS was significantly higher in patients with predicted non-progression than those with predicted progression (75.8% vs. 8.3%, p<0.001), and this model was only the independent factor for PFS in multivariate analysis (hazard ratio = 3.22; 95% confidence interval = 1.03–10.11; p=0.045). Conclusions: The logistic regression model constructed by UICC, T and N stages and pretreatment [18F]-FDG-PET–based radiomic features, GLCM_Entropy, and GLRLM_RLNU may be the most important predictor of prognosis in patients with hypopharyngeal cancer.

DOI： 10.1007/s11307-022-01757-7

Scopus

PubMed

Kamimura K. . Differentiation of hemangioblastoma from brain metastasis using MR amide proton transfer imaging . Journal of Neuroimaging32 ( 5 ) 920 - 929 2022

Language：Japanese Publisher：Journal of Neuroimaging

Background and Purpose: Differentiation between hemangioblastoma and brain metastasis remains a challenge in neuroradiology using conventional MRI. Amide proton transfer (APT) imaging can provide unique molecular information. This study aimed to evaluate the usefulness of APT imaging in differentiating hemangioblastomas from brain metastases and compare APT imaging with diffusion-weighted imaging and dynamic susceptibility contrast perfusion-weighted imaging. Methods: This retrospective study included 11 patients with hemangioblastoma and 20 patients with brain metastases. Region-of-interest analyses were employed to obtain the mean, minimum, and maximum values of APT signal intensity, apparent diffusion coefficient (ADC), and relative cerebral blood volume (rCBV), and these indices were compared between hemangioblastomas and brain metastases using the unpaired t-test and Mann-Whitney U test. Their diagnostic performances were evaluated using receiver operating characteristic (ROC) analysis and area under the ROC curve (AUC). AUCs were compared using DeLong's method. Results: All MRI-derived indices were significantly higher in hemangioblastoma than in brain metastasis. ROC analysis revealed the best performance with APT-related indices (AUC = 1.000), although pairwise comparisons showed no significant difference between the mean ADC and mean rCBV. Conclusions: APT imaging is a useful and robust imaging tool for differentiating hemangioblastoma from metastasis.

DOI： 10.1111/jon.13019

Scopus

PubMed

Tanaka T., Nakajo M., Kawakami H., Motomura E., Fujisaka T., Ojima S., Saigo Y., Yoshiura T. . Short-time-window Patlak imaging using a population-based arterial input function and optimized Bayesian penalized likelihood reconstruction: a feasibility study . EJNMMI Research12 ( 1 ) 57 2022

Language：Japanese Publisher：EJNMMI Research

Background: To explore the feasibility of short-time-window Ki imaging using a population-based arterial input function (IF) and optimized Bayesian penalized likelihood (BPL) reconstruction as a practical alternative to long-time-window Ki imaging with an individual patient-based IF. Myocardial Ki images were generated from 73 dynamic 18F-FDG-PET/CT scans of 30 patients with cardiac sarcoidosis. For each dynamic scan, the Ki images were obtained using the IF from each individual patient and a long time window (10–60 min). In addition, Ki images were obtained using the normalized averaged population-based IF and BPL algorithms with different beta values (350, 700, and 1000) with a short time window (40–60 min). The visual quality of each image was visually rated using a 4-point scale (0, not visible; 1, poor; 2, moderate; and 3, good), and the Ki parameters (Ki-max, Ki-mean, Ki-volume) of positive myocardial lesions were measured independently by two readers. Wilcoxon’s rank sum test, McNemar’s test, or linear regression analysis were performed to assess the differences or relationships between two quantitative variables. Results: Both readers similarly rated 51 scans as positive (scores = 1–3) and 22 scans as negative (score = 0) for all four Ki images. Among the three types of population-based IF Ki images, the proportion of images with scores of 3 was highest with a beta of 1000 (78.4 and 72.5%, respectively) and lowest with a beta of 350 (33.3 and 23.5%) for both readers (all p < 0.001). The coefficients of determination between the Ki parameters obtained with the individual patient-based IF and those obtained with the population-based IF were highest with a beta of 1000 for both readers (Ki-max, 0.91 and 0.92, respectively; Ki-mean, 0.91 and 0.92, respectively; Ki-volume, 0.75 and 0.60, respectively; and all p < 0.001). Conclusions: Short-time-window Ki images with a population-based IF reconstructed using the BPL algorithm and a high beta value were closely correlated with long-time-window Ki images generated with an individual patient-based IF. Short-time-window Ki images using a population-based IF and BPL reconstruction might represent practical alternatives to long-time-window Ki images generated using an individual patient-based IF.

DOI： 10.1186/s13550-022-00933-8

Scopus

PubMed

Nakajo M., Horizoe Y., Kawaji K., Jinguji M., Tani A., Fukukura Y., Ohishi M., Yoshiura T. . Application of 123I-MIBG myocardial maximum standardized uptake value to characterize cardiac function in patients with pheochromocytoma: comparison with echocardiography . Japanese Journal of Radiology41 ( 4 ) 437 - 448 2022

Language：Japanese Publisher：Japanese Journal of Radiology

Purpose: This study examined the usefulness of the maximum standardized uptake value (SUVmax) of myocardial [123I]-metaiodobenzylguanidine ([123I]-MIBG) to characterize myocardial function by comparing it with echocardiographic parameters in patients with pheochromocytoma. Materials and methods: This study included 18 patients with pheochromocytoma who underwent both planar and [123I]-MIBG single-photon emission computed tomography/computed tomography scans and echocardiography before surgery. Myocardial [123I]-MIBG visibility and SUVmax were compared with echocardiographic parameters related to systolic and diastolic functions. The Mann–Whitney U test, Fisher exact test, or Spearman rank correlation assessed differences or relationships between two quantitative variables. Results: On visual analysis, 6 patients showed normal myocardial [123I]-MIBG uptake, whereas 12 patients showed decreased myocardial [123I]-MIBG uptake. No patients showed systolic dysfunction. A significant difference was observed in the incidence of diastolic dysfunction between the groups with normal and decreased uptake (p = 0.009), and left ventricular (LV) diastolic dysfunction was observed in 9 (75%) of 12 patients with decreased myocardial uptake. The myocardial SUVmax was significantly lower in 9 patients with LV diastolic dysfunction than in 9 patients with normal cardiac function (1.67 ± 0.37 vs. 3.03 ± 1.38, p = 0.047). Myocardial SUVmax was positively correlated with septal e′ (early diastolic velocity of septal mitral annulus) (ρ = 0.51, p = 0.031) and negatively correlated with the septal E/e′ ratio (early mitral E-velocity to early diastolic velocity of septal mitral annulus; ρ = − 0.64, p = 0.004), respectively. Conclusions: LV diastolic dysfunction was inversely related to myocardial [123I]-MIBG uptake. Myocardial [123I]-MIBG SUVmax may be useful for characterizing cardiac function in patients with pheochromocytoma. Second abstract. The semiquantitative analysis using the myocardial SUVmax in 123I-MIBG SPECT/CT was found to be potentially useful for characterizing cardiac function in patients with pheochromocytoma.

DOI： 10.1007/s11604-022-01365-z

Scopus

PubMed

岩永崇, 福倉良彦, 吉浦敬 . 抗がん剤を検出するchemoCESTイメージングの実現可能性に関するファントム評価 . 日本磁気共鳴医学会雑誌42 58 - 61 2022Reviewed

Kawamura Junpei, Ueno Kentaro, Takumi Koji, Yoshiura Takashi, Okamoto Yasuhiro . Four-Dimensional Flow Magnetic Resonance Imaging in the Evaluation of Intracardiac Oxygenation in an Infant With a Single Ventricle . Circulation Journal86 ( 1 ) 166 2021.12

長谷川知仁, 福倉良彦, 神宮司メグミ, 吉浦敬 . 特集診断の決め手となった画像･所見Ⅲ-胸部･腎泌尿器･婦人科腎泌尿器-副腎腫瘍(副腎腺腫など) . 臨床放射線66 ( 13 ) 1551 - 1557 2021.12特集診断の決め手となった画像･所見Ⅲ-胸部･腎泌尿器･婦人科腎泌尿器-副腎腫瘍(副腎腺腫など)

Nakajo M. . Correlation between amide proton transfer-related signal intensity and diffusion and perfusion magnetic resonance imaging parameters in high-grade glioma . Scientific Reports11 ( 1 ) 11223 2021.12Reviewed International journal

Language：English Publishing type：Research paper (scientific journal) Publisher：Scientific Reports

Amide proton transfer (APT) imaging is a magnetic resonance (MR) molecular imaging technique that is sensitive to mobile proteins and peptides in living tissue. Studies have shown that APT-related signal intensity (APTSI) parallels with the malignancy grade of gliomas, allowing the preoperative assessment of tumor grades. An increased APTSI in malignant gliomas has been attributed to cytosolic proteins and peptides in proliferating tumor cells; however, the exact underlying mechanism is poorly understood. To get an insight into the mechanism of high APTSI in malignant gliomas, we investigated the correlations between APTSI and several MR imaging parameters including apparent diffusion coefficient (ADC), relative cerebral blood volume and pharmacokinetic parameters obtained in the same regions-of-interest in 22 high-grade gliomas. We found a significant positive correlation between APTSI and ADC (ρ = 0.625 and 0.490 for observers 1 and 2, respectively; p < 0.001 for both), which is known to be inversely correlated with cell density. Multiple regression analysis revealed that ADC was significantly associated with APTSI (p < 0.001 for both observers). Our results suggest possible roles of extracellular proteins and peptides in high APTSI in malignant gliomas.

DOI： 10.1038/s41598-021-90841-z

Scopus

PubMed

Fukukura Y. . Extracellular volume fraction with MRI: As an alternative predictive biomarker to dynamic contrast-enhanced MRI for chemotherapy response of pancreatic ductal adenocarcinoma . European Journal of Radiology145 110036 2021.12

Language：Japanese Publisher：European Journal of Radiology

Purpose: To assess the feasibility of extracellular volume (ECV) fraction determined with equilibrium contrast-enhanced MRI for prediction of treatment response to chemotherapy in pancreatic ductal adenocarcinoma (PDAC) in comparison with dynamic contrast-enhanced MRI (DCE-MRI), and to clarify the association between ECV fraction and DCE-MRI-derived pharmacokinetic parameters. Methods: This retrospective study included 58 consecutive patients with histologically confirmed PDAC who underwent DCE-MRI before systemic chemotherapy. Tumor pharmacokinetic parameters, including the volume transfer coefficient (Ktrans), rate constant (kep), and extracellular extravascular volume fraction (ve) of DCE-MRI, and ECV fraction determined with equilibrium contrast-enhanced MRI were compared between the response and non-response groups. The correlation of tumor ECV fraction with each DCE-MRI-derived pharmacokinetic parameter was examined using Spearman's rank correlation coefficient. Results: Tumor Ktrans, ve, and ECV fraction were significantly higher in the response group than in the non-response group (all, P < 0.001), whereas no significant difference was found in kep (P = 0.119). Tumor ECV fraction showed the highest area under receiver operating characteristic curve of 0.918, with a sensitivity of 89.3%, specificity of 90.0%, and accuracy of 89.7% (cut off, >37.6%). The ECV fraction showed a significant positive correlation with Ktrans (Spearman's coefficient = 0.66, P < 0.001) and ve (Spearman's coefficient = 0.79, P < 0.001). Conclusions: ECV fraction determined with equilibrium contrast-enhanced MRI was as useful as DCE-MRI-derived pharmacokinetic parameters for predicting treatment response to chemotherapy in patients with PDAC.

DOI： 10.1016/j.ejrad.2021.110036

Scopus

PubMed

Nakanosono R. . A Rare Case Report of Rosai-Dorfman Disease Manifesting as a Mediastinal Mass . Journal of thoracic imaging36 ( 6 ) W105 - W108 2021.11

Hozaka Y. . Clinical utility and limitation of diagnostic ability for different degrees of dysplasia of intraductal papillary mucinous neoplasms of the pancreas using 18 F-fluorodeoxyglucose-positron emission tomography/ computed tomography . Cancers13 ( 18 ) 2021.9

Language：Japanese Publisher：Cancers

The diagnostic value of18F-fluorodeoxyglucose (FDG) uptake in the management of intraductal papillary mucinous neoplasms (IPMNs) of the pancreas remains unclear. This study aimed to assess the role of FDG uptake in the diagnosis of different degrees of dysplasia of IPMNs. We retrospectively analyzed the following three points in 84 patients with IPMNs: (1) risk factors to predict high-grade dysplasia (HGD) and invasive carcinoma (INV); (2) the relationship between FDG uptake and glucose transporter 1 (GLUT-1) expression; and (3) the relationship between FDG uptake and the presence of mural nodules. The histopathological diagnosis was low-grade dysplasia (LGD) in 43 patients, HGD in 16, and INV in 25. The maximum standardized uptake value (SUV-max) was significantly higher in INV than in LGD/HGD (p < 0.0001, p = 0.0136). The sensitivity and specificity to discriminate INV from LGD/HGD were 80.0% and 86.2%, respectively, using the receiver operator characteristic curve, when the optimal cutoff score of SUV-max was set at 4.03. Those values were not different between HGD and LGD. More than half of HGD patients had low GLUT-1 expression. Taken together, FDG-PET/CT is useful in distinguishing between non-invasive and invasive IPMN. Our results offer critical information that may determine surgical treatment strategies.

DOI： 10.3390/cancers13184633

Scopus

PubMed

Takigawa K., Hata N., Michiwaki Y., Hiwatashi A., Yonezawa H., Kuga D., Hatae R., Sangatsuda Y., Fujioka Y., Funakoshi Y., Otsuji R., Sako A., Togao O., Yoshiura T., Yoshimoto K., Mizoguchi M. . Volumetric study reveals the relationship between outcome and early radiographic response during bevacizumab-containing chemoradiotherapy for unresectable glioblastoma . Journal of Neuro-Oncology154 ( 2 ) 187 - 196 2021.9

Language：Japanese Publisher：Journal of Neuro-Oncology

Purpose: Although we have shown the clinical benefit of bevacizumab (BEV) in the treatment of unresectable newly diagnosed glioblastomas (nd-GBM), the relationship between early radiographic response and survival outcome remains unclear. We performed a volumetric study of early radiographic responses in nd-GBM treated with BEV. Methods: Twenty-two patients with unresectable nd-GBM treated with BEV during concurrent temozolomide radiotherapy were analyzed. An experienced neuroradiologist interpreted early responses on fluid-attenuated inversion recovery (FLAIR) and gadolinium-enhanced T1-weighted images (GdT1WI). Volumetric changes were evaluated using diffusion-weighted imaging (DWI) and GdT1WI according to the Response Assessment in Neuro-Oncology (RANO) criteria. The results were categorized into improved (complete response [CR] or partial response [PR]) or non-improved (stable disease [SD] or progressive disease [PD]) groups; outcomes were compared using Kaplan–Meier analysis. Results: The volumetric GdT1WI improvement was a significant predictive factor for overall survival (OS) prolongation (p = 0.0093, median OS: 24.7 vs. 13.6 months); however, FLAIR and DWI images were not predictive. The threshold for the neuroradiologist’s interpretation of improvement in GdT1WI was nearly 20% of volume reduction, which was lesser than 50%, the definition of PR applied in the RANO criteria. However, even less stringent neuroradiologist interpretation could successfully predict OS prolongation (improved vs. non-improved: p = 0.0067, median OS: 17.6 vs. 8.3 months). Significant impact of OS on the early response in volumetric GdT1WI was observed within the cut-off range of 20–50% (20%, p = 0.0315; 30%, p = 0.087; 40%, p = 0.0456). Conclusions: Early response during BEV-containing chemoradiation can be a predictive indicator of patient outcome in unresectable nd-GBM.

DOI： 10.1007/s11060-021-03812-9

Scopus

PubMed

Kamimura K. . Consistency of pituitary adenoma: Prediction by pharmacokinetic dynamic contrast-enhanced mri and comparison with histologic collagen content . Cancers13 ( 15 ) 2021.8

Language：Japanese Publisher：Cancers

Prediction of tumor consistency is valuable for planning transsphenoidal surgery for pituitary adenoma. A prospective study was conducted involving 49 participants with pituitary adenoma to determine whether quantitative pharmacokinetic analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is useful for predicting consistency of adenomas. Phar-macokinetic parameters in the adenomas including volume of extravascular extracellular space (EES) per unit volume of tissue (ve ), blood plasma volume per unit volume of tissue (vp), volume transfer constant between blood plasma and EES (Ktrans ), and rate constant between EES and blood plasma (kep) were obtained. The pharmacokinetic parameters and the histologic percentage of collagen content (PCC) were compared between soft and hard adenomas using Mann–Whitney U test. Pearson’s correlation coefficient was used to correlate pharmacokinetic parameters with PCC. Hard adenomas showed significantly higher PCC (44.08 ± 15.14% vs. 6.62 ± 3.47%, p < 0.01), ve (0.332 ± 0.124% vs. 0.221 ± 0.104%, p < 0.01), and Ktrans (0.775 ± 0.401/min vs. 0.601 ± 0.612/min, p = 0.02) than soft adenomas. Moreover, a significant positive correlation was found between ve and PCC (r = 0.601, p < 0.01). The ve derived using DCE-MRI may have predictive value for consistency of pituitary adenoma.

DOI： 10.3390/cancers13153914

Scopus

PubMed

福倉良彦, 熊谷雄一, 吉浦敬 . 特集 CT 再入門- 新技術で何がわかる?- 5. Dual energy CTの活用　11 副腎皮質腺腫 . 画像診断41 ( 9 ) 998 - 999 2021.7特集 CT 再入門- 新技術で何がわかる?- 5. Dual energy CTの活用　11 副腎皮質腺腫

　 PREV - NEXT 　

<YOSHIURA, TAKASHI>

Papers - YOSHIURA, TAKASHI