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190 results on '"Asaumi, Junichi"'

8. Efficacy of Cisplatin–CXCR4 Antagonist Combination Therapy in Oral Cancer.

Author

Yoshida, Saori, Kawai, Hotaka, Soe, Yamin, Eain, Htoo Shwe, Sanou, Sho, Takabatake, Kiyofumi, Takeshita, Yohei, Hisatomi, Miki, Nagatsuka, Hitoshi, Asaumi, Junichi, and Yanagi, Yoshinobu

Subjects
THERAPEUTIC use of antineoplastic agents, SQUAMOUS cell carcinoma, IN vitro studies, MOUTH tumors, CISPLATIN, DRUG resistance in cancer cells, T-test (Statistics), RESEARCH funding, NECROSIS, CELL proliferation, NEOVASCULARIZATION inhibitors, XENOGRAFTS, CANCER patients, DESCRIPTIVE statistics, MICE, CELL lines, DRUG efficacy, ANIMAL experimentation, CHEMOKINE receptors, DATA analysis software, COMPARATIVE studies, DISEASE progression, HEMORRHAGE, CHEMICAL inhibitors
Abstract

Simple Summary: Some cases of oral cancer are inoperable, and some of these cases also show a limited response to cisplatin. The chemokine receptor CXCR4 has been shown to be involved in tumor growth and metastasis via tumor angiogenesis, and its expression on oral squamous cell carcinoma (OSCC) cells was associated with recurrence and lymph node metastasis. Therefore, we investigated the effects of adding the CXRC4 inhibitor AMD3100 to cisplatin on OSCC cells in vitro and in mouse xenograft models in vivo. The addition of AMD to cisplatin had no additional anti-tumor effect in vitro, but improved the anti-tumor effect of cisplatin and reduced the number of CXCR4-positive blood vessels in cisplatin-resistant OSCC xenografts in vivo. These findings suggest that the addition of a CXCR4 inhibitor may increase the anti-tumor effects of cisplatin in patients with refractory OSCC. Cisplatin is a platinum-based compound that is widely used for treating inoperable oral squamous cell carcinoma (OSCC) in Japan; however, resistance to cisplatin presents a challenge and innovative approaches are required. We aimed to investigate the therapeutic potential of targeting the chemokine receptor CXCR4, which is involved in angiogenesis and tumor progression, using the CXCR4 inhibitor AMD3100, in combination with cisplatin. AMD3100 induced necrosis and bleeding in OSCC xenografts by inhibiting angiogenesis. We investigated the combined ability of AMD3100 plus cisplatin to enhance the antitumor effect in cisplatin-resistant OSCC. An MTS assay identified HSC-2 cells as cisplatin-resistant cells in vitro. Mice treated with the cisplatin-AMD combination exhibited the most significant reduction in tumor volume, accompanied by extensive hemorrhage and necrosis. Histological examination indicated thin and short tumor vessels in the AMD and cisplatin–AMD groups. These results indicated that cisplatin and AMD3100 had synergistic antitumor effects, highlighting their potential for vascular therapy of refractory OSCC. Antitumor vascular therapy using cisplatin combined with a CXCR4 inhibitor provides a novel strategy for addressing cisplatin-resistant OSCC. [ABSTRACT FROM AUTHOR]

Published
2024
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9. Characteristic Mean Kurtosis Values in Simple Diffusion Kurtosis Imaging of Dentigerous Cysts

Author

Fukumura, Yuka, primary, Kuroda, Masahiro, additional, Yoshida, Suzuka, additional, Nakamura, Yoshihide, additional, Nakamitsu, Yuki, additional, Al-Hammad, Wlla E., additional, Kuroda, Kazuhiro, additional, Kamizaki, Ryo, additional, Shimizu, Yudai, additional, Tanabe, Yoshinori, additional, Sugimoto, Kohei, additional, Oita, Masataka, additional, Sugianto, Irfan, additional, Barham, Majd, additional, Tekiki, Nouha, additional, Kamaruddin, Nurul N., additional, Yanagi, Yoshinobu, additional, and Asaumi, Junichi, additional

Published
2023
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10. Usefulness of Simple Diffusion Kurtosis Imaging for Head and Neck Tumors: An Early Clinical Study

Author

Shimizu, Yudai, Kuroda, Masahiro, Nakamitsu, Yuki, Al-Hammad, Wlla E., Yoshida, Suzuka, Fukumura, Yuka, Nakamura, Yoshihide, Kuroda, Kazuhiro, Kamizaki, Ryo, Imajoh, Satoshi, Tanabe, Yoshinori, Sugimoto, Kohei, Oita, Masataka, Sugianto, Irfan, Bamgbose, Babatunde O., Yanagi, Yoshinobu, and Asaumi, Junichi

Subjects
head and neck tumor, mean kurtosis, magnetic resonance imaging, simple diffusion kurtosis imaging, clinical trial
Abstract

Diffusion kurtosis (DK) imaging (DKI), a type of restricted diffusion-weighted imaging, has been reported to be useful for tumor diagnoses in clinical studies. We developed a software program to simultaneously create DK images with apparent diffusion coefficient (ADC) maps and conducted an initial clinical study. Multi-shot echo-planar diffusion-weighted images were obtained at b-values of 0, 400, and 800 sec/mm2 for simple DKI, and DK images were created simultaneously with the ADC map. The usefulness of the DK image and ADC map was evaluated using a pixel analysis of all pixels and a median analysis of the pixels of each case. Tumor and normal tissues differed significantly in both pixel and median analyses. In the pixel analysis, the area under the curve was 0.64 for the mean kurtosis (MK) value and 0.77 for the ADC value. In the median analysis, the MK value was 0.74, and the ADC value was 0.75. The MK and ADC values correlated moderately in the pixel analysis and strongly in the median analysis. Our simple DKI system created DK images simultaneously with ADC maps, and the obtained MK and ADC values were useful for differentiating head and neck tumors from normal tissue.

Published
2023

12. Enhancing Diagnostic Precision: Evaluation of Preprocessing Filters in Simple Diffusion Kurtosis Imaging for Head and Neck Tumors.

Author

Nakamitsu, Yuki, Kuroda, Masahiro, Shimizu, Yudai, Kuroda, Kazuhiro, Yoshimura, Yuuki, Yoshida, Suzuka, Nakamura, Yoshihide, Fukumura, Yuka, Kamizaki, Ryo, Al-Hammad, Wlla E., Oita, Masataka, Tanabe, Yoshinori, Sugimoto, Kohei, Sugianto, Irfan, Barham, Majd, Tekiki, Nouha, and Asaumi, Junichi

Subjects
NECK tumors, HEAD tumors, KURTOSIS, RECEIVER operating characteristic curves, DIFFUSION magnetic resonance imaging
Abstract

Background: Our initial clinical study using simple diffusion kurtosis imaging (SDI), which simultaneously produces a diffusion kurtosis image (DKI) and an apparent diffusion coefficient map, confirmed the usefulness of SDI for tumor diagnosis. However, the obtained DKI had noticeable variability in the mean kurtosis (MK) values, which is inherent to SDI. We aimed to improve this variability in SDI by preprocessing with three different filters (Gaussian [G], median [M], and nonlocal mean) of the diffusion-weighted images used for SDI. Methods: The usefulness of filter parameters for diagnosis was examined in basic and clinical studies involving 13 patients with head and neck tumors. Results: The filter parameters, which did not change the median MK value, but reduced the variability and significantly homogenized the MK values in tumor and normal tissues in both basic and clinical studies, were identified. In the receiver operating characteristic curve analysis for distinguishing tumors from normal tissues using MK values, the area under curve values significantly improved from 0.627 without filters to 0.641 with G (σ = 0.5) and 0.638 with M (radius = 0.5). Conclusions: Thus, image pretreatment with G and M for SDI was shown to be useful for improving tumor diagnosis in clinical practice. [ABSTRACT FROM AUTHOR]

Published
2024
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14. Mean Heart Dose Prediction Using Parameters of Single-Slice Computed Tomography and Body Mass Index: Machine Learning Approach for Radiotherapy of Left-Sided Breast Cancer of Asian Patients

Author

Al-Hammad, Wlla E., primary, Kuroda, Masahiro, additional, Kamizaki, Ryo, additional, Tekiki, Nouha, additional, Ishizaka, Hinata, additional, Kuroda, Kazuhiro, additional, Sugimoto, Kohei, additional, Oita, Masataka, additional, Tanabe, Yoshinori, additional, Barham, Majd, additional, Sugianto, Irfan, additional, Shimizu, Yudai, additional, Nakamitsu, Yuki, additional, and Asaumi, Junichi, additional

Published
2023
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15. Evaluation of calculation processes of apparent diffusion coefficient subtraction method (ASM) imaging

Author

Barham, Majd, Kuroda, Masahiro, Yoshimura, Yuuki, Hamada, Kentaro, Khasawneh, Abdullah, Sugimoto, Kohei, Konishi, Kohei, Tekiki, Nouha, Sugianto, Irfan, Bamgbose, Babatunde O., Ishizaka, Hinata, Shimizu, Yudai, Nakamitsu, Yuki, Al-Hammad, Wlla E., Kamizaki, Ryo, Kurozumi, Akira, Matsushita, Toshi, Ohno, Seiichiro, Asaumi, Junichi, Barham, Majd, Kuroda, Masahiro, Yoshimura, Yuuki, Hamada, Kentaro, Khasawneh, Abdullah, Sugimoto, Kohei, Konishi, Kohei, Tekiki, Nouha, Sugianto, Irfan, Bamgbose, Babatunde O., Ishizaka, Hinata, Shimizu, Yudai, Nakamitsu, Yuki, Al-Hammad, Wlla E., Kamizaki, Ryo, Kurozumi, Akira, Matsushita, Toshi, Ohno, Seiichiro, and Asaumi, Junichi

Abstract

A number of restricted diffusion (RD) imaging techniques, such as diffusion kurtosis (DK) imaging and Q space imaging, have been developed and proven to be useful for the diagnosis of diseases, including cerebral gliomas and cerebrovascular infarction. In particular, apparent diffusion coefficient (ADC) subtraction method (ASM) imaging has become available recently as a novel RD imaging technique. ASM is based on the difference between the ADC values in an image pair of two ADC maps, ADC basic (ADCb) and ADC modify (ADCm), which are created from diffusion-weighted images taken using short and long effective diffusion times, respectively. The present study aimed to assess the potential of different types of ASM imaging by comparing them with DK imaging which is the gold-standard RD imaging technique. In the present basic study using both polyethylene glycol phantom and cell-containing bio-phantom, three different types of ASM images were created using different calculation processes. ASM/A is an image calculated by dividing the absolute difference between ADCb and ADCm by ADCb several times. By contrast, ASM/S is an image created by dividing the absolute difference between ADCb and ADCm by the standard deviation of ADCb several times. As for positive ASM/A image (PASM/A), the positive image, which was resultant after subtracting ADCb from ADCm, was divided by ADCb several times. A comparison was made between the types of ASM and DK images. The results showed the same tendency between ASM/A in addition to both ASM/S and PASM/A. By increasing the number of divisions by ADCb from three to five times, ASM/A images transformed from DK-mimicking to more RD-sensitive images compared with DK images. These observations suggest that ASM/A images may prove useful for future clinical applications in RD imaging protocols for the diagnosis of diseases.

Published
2023

16. Mean Heart Dose Prediction Using Parameters of Single-Slice Computed Tomography and Body Mass Index: Machine Learning Approach for Radiotherapy of Left-Sided Breast Cancer of Asian Patients

Author

Al-Hammad, Wlla E., Kuroda, Masahiro, Kamizaki, Ryo, Tekiki, Nouha, Ishizaka, Hinata, Kuroda, Kazuhiro, Sugimoto, Kohei, Oita, Masataka, Tanabe, Yoshinori, Barham, Majd, Sugianto, Irfan, Shimizu, Yudai, Nakamitsu, Yuki, Asaumi, Junichi, Al-Hammad, Wlla E., Kuroda, Masahiro, Kamizaki, Ryo, Tekiki, Nouha, Ishizaka, Hinata, Kuroda, Kazuhiro, Sugimoto, Kohei, Oita, Masataka, Tanabe, Yoshinori, Barham, Majd, Sugianto, Irfan, Shimizu, Yudai, Nakamitsu, Yuki, and Asaumi, Junichi

Abstract

Deep inspiration breath-hold (DIBH) is an excellent technique to reduce the incidental radiation received by the heart during radiotherapy in patients with breast cancer. However, DIBH is costly and time-consuming for patients and radiotherapy staff. In Asian countries, the use of DIBH is restricted due to the limited number of patients with a high mean heart dose (MHD) and the shortage of radiotherapy personnel and equipment compared to that in the USA. This study aimed to develop, evaluate, and compare the performance of ten machine learning algorithms for predicting MHD using a patient's body mass index and single-slice CT parameters to identify patients who may not require DIBH. Machine learning models were built and tested using a dataset containing 207 patients with left-sided breast cancer who were treated with field-in-field radiotherapy with free breathing. The average MHD was 251 cGy. Stratified repeated four-fold cross-validation was used to build models using 165 training data. The models were compared internally using their average performance metrics: F2 score, AUC, recall, accuracy, Cohen's kappa, and Matthews correlation coefficient. The final performance evaluation for each model was further externally analyzed using 42 unseen test data. The performance of each model was evaluated as a binary classifier by setting the cut-off value of MHD & GE; 300 cGy. The deep neural network (DNN) achieved the highest F2 score (78.9%). Most models successfully classified all patients with high MHD as true positive. This study indicates that the ten models, especially the DNN, might have the potential to identify patients who may not require DIBH.

Published
2023

18. Evaluation of calculation processes of apparent diffusion coefficient subtraction method (ASM) imaging

Author

Barham, Majd, primary, Kuroda, Masahiro, additional, Yoshimura, Yuuki, additional, Hamada, Kentaro, additional, Khasawneh, Abdullah, additional, Sugimoto, Kohei, additional, Konishi, Kohei, additional, Tekiki, Nouha, additional, Sugianto, Irfan, additional, Bamgbose, Babatunde O., additional, Ishizaka, Hinata, additional, Shimizu, Yudai, additional, Nakamitsu, Yuki, additional, Al-Hammad, Wlla E., additional, Kamizaki, Ryo, additional, Kurozumi, Akira, additional, Matsushita, Toshi, additional, Ohno, Seiichiro, additional, and Asaumi, Junichi, additional

Published
2023
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29. New field‑in‑field with two reference points method for whole breast radiotherapy: Dosimetric analysis and radiation‑induced skin toxicities assessment

Author

Tekiki, Nouha, primary, Kuroda, Masahiro, additional, Ishizaka, Hinata, additional, Khasawneh, Abdullah, additional, Barham, Majd, additional, Hamada, Kentaro, additional, Konishi, Kohei, additional, Sugimoto, Kohei, additional, Katsui, Kuniaki, additional, Sugiyama, Soichi, additional, Watanabe, Kenta, additional, Yoshio, Kotaro, additional, Katayama, Norihisa, additional, Ogata, Takeshi, additional, Ihara, Hiroki, additional, Kanazawa, Susumu, additional, and Asaumi, Junichi, additional

Published
2021
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35. Development of a novel phantom using polyethylene glycol for the visualization of restricted diffusion in diffusion kurtosis imaging and apparent diffusion coefficient subtraction method

Author

Khasawneh, Abdullah, primary, Kuroda, Masahiro, additional, Yoshimura, Yuuki, additional, Sugianto, Irfan, additional, Bamgbose, Babatunde, additional, Hamada, Kentaro, additional, Barham, Majd, additional, Tekiki, Nouha, additional, Konishi, Kohei, additional, Sugimoto, Kohei, additional, Ishizaka, Hinata, additional, Kurozumi, Akira, additional, Matsushita, Toshi, additional, Ohno, Seiichiro, additional, Kanazawa, Susumu, additional, and Asaumi, Junichi, additional

Published
2020
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40. Development of a novel method for visualizing restricted diffusion using subtraction of apparent diffusion coefficient values

Author

Yoshimura, Yuuki, primary, Kuroda, Masahiro, additional, Sugianto, Irfan, additional, Khasawneh, Abdullah, additional, Bamgbose, Babatunde, additional, Hamada, Kentaro, additional, Barham, Majd, additional, Tekiki, Nouha, additional, Kurozumi, Akira, additional, Matsushita, Toshi, additional, Ohno, Seiichiro, additional, Kanazawa, Susumu, additional, and Asaumi, Junichi, additional

Published
2019
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42. Clinical guidelines for the application of panoramic radiographs in screening for osteoporosis.

Author

Taguchi, Akira, Tanaka, Ray, Kakimoto, Naoya, Morimoto, Yasuhiro, Arai, Yoshinori, Hayashi, Takafumi, Kurabayashi, Tohru, Katsumata, Akitoshi, and Asaumi, Junichi

Subjects
BONE fracture prevention, OSTEOPOROSIS prevention, PANORAMIC radiography, MANDIBLE, MEDICAL screening, DENTAL care, MEDICAL care costs, MEDICAL protocols, OSTEOPOROSIS, POSTMENOPAUSE, BONE density, WOMEN'S health, DISEASE risk factors
Abstract

Osteoporotic fractures are associated with an increased risk of subsequent fractures, a higher rate of mortality, and incremental medical costs. Incidental findings, which include some measurements related to the mandibular inferior cortex and the alveolar trabecular bone pattern of the mandible determined on panoramic radiographs, are considered to be a useful tool for identifying asymptomatic individuals at risk of having osteoporosis and/or fragility fractures. We undertook a worldwide literature survey and present the following clinical recommendations. Postmenopausal female dental patients with a mandibular inferior cortical width of less than 3 mm on panoramic radiographs may be at risk of having low skeletal bone mineral density (BMD) or osteoporosis, but not fragility fractures. In addition, those with a severely eroded mandibular inferior cortex may have an increased risk of having low skeletal BMD, osteoporosis, and fragility fractures. The alveolar trabecular bone pattern of the mandible might be useful for identifying female dental patients at risk of having fragility fractures, although further investigation is necessary to confirm this possibility. These incidental findings on panoramic radiographs, when used for identifying asymptomatic postmenopausal female patients at risk of having osteoporosis in general dental practice, may be helpful in reducing the incidence of first fractures, with a consequent reduction in the secondary fractures, medical costs, and mortality associated with osteoporotic fragility fractures, without incurring any additional cost. [ABSTRACT FROM AUTHOR]

Published
2021
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