Literature DB >> 31192827

Quantitative Assessment of Bone Metastasis in Prostate Cancer Using Synthetic Magnetic Resonance Imaging.

Yuki Arita1,2, Taro Takahara3, Soichiro Yoshida4, Thomas C Kwee5, Shugo Yajima4, Chikako Ishii2, Ryota Ishii6, Shigeo Okuda1, Masahiro Jinzaki1, Yasuhisa Fujii4.   

Abstract

OBJECTIVES: The aims of this study were to evaluate the feasibility of quantitative synthetic magnetic resonance imaging (SyMRI) for characterizing bone lesions in prostate cancer and to discriminate viable progressive osteoblastic bone metastasis from nonviable bone metastases with treatment-induced sclerosis during the treatment course.
MATERIALS AND METHODS: This institutional review board-approved prospective study included 96 consecutive prostate cancer patients who underwent whole-body MRI including diffusion-weighted imaging at the time of staging at diagnosis or starting a new line of anticancer treatment. Additional synthetic MRI of the lumbosacral spine, pelvis, and proximal femurs was performed. A region of interest of 1.0 cm in diameter was set in each bone lesion by 2 independent readers who were blinded to bone lesions' diagnosis. Differences in SyMRI variables between the different bone lesions were compared with the Wilcoxon rank sum test, and associations of SyMRI variables with active disease were analyzed with logistic regression analysis. Performance of T1, T2, and proton density (PD) for diagnosing active disease was assessed using the area under the receiver operating characteristic curve.
RESULTS: Ninety-three bone lesions were eligible for analysis. The PD values of active (viable) bone metastatic lesions were significantly higher than those of inactive (nonviable) bone metastatic lesions without sclerosis and those of red bone marrow (P < 0.001 for both readers). The PD values of inactive bone metastatic lesions with sclerosis were significantly lower than those of inactive bone metastatic lesions without sclerosis and red bone marrow (P < 0.001 for both readers). The PD value proved to be an independent significant indicator (P < 0.001) for differentiating bone lesions. The areas under the curve of T1/T2/PD for identifying active disease were 0.81/0.69/0.93 for reader 1 and 0.78/0.70/0.92 for reader 2, respectively.
CONCLUSIONS: Signal quantification on SyMRI provides objective assessment of bone lesions in the lower trunk. The PD value can be useful to determine the viability of bone metastases in prostate cancer.

Entities:  

Mesh:

Year:  2019        PMID: 31192827     DOI: 10.1097/RLI.0000000000000579

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  9 in total

1.  Quantification of brown adipose tissue in vivo using synthetic magnetic resonance imaging: an experimental study with mice model.

Authors:  Mengjuan Huo; Junzhao Ye; Zhi Dong; Huasong Cai; Meng Wang; Guoping Yin; Long Qian; Zi-Ping Li; Bihui Zhong; Shi-Ting Feng
Journal:  Quant Imaging Med Surg       Date:  2022-01

2.  Diagnostic performance of synthetic magnetic resonance imaging in the prognostic evaluation of rectal cancer.

Authors:  Lidi Ma; Shanshan Lian; Huimin Liu; Tiebao Meng; Weilong Zeng; Rui Zhong; Linchang Zhong; Chuanmiao Xie
Journal:  Quant Imaging Med Surg       Date:  2022-07

3.  Preoperative volumetric synthetic magnetic resonance imaging of the primary tumor for a more accurate prediction of lymph node metastasis in rectal cancer.

Authors:  Li Zhao; Meng Liang; Zhuo Shi; Lizhi Xie; Hongmei Zhang; Xinming Zhao
Journal:  Quant Imaging Med Surg       Date:  2021-05

4.  Improved Characterization of Diffusion in Normal and Cancerous Prostate Tissue Through Optimization of Multicompartmental Signal Models.

Authors:  Christopher C Conlin; Christine H Feng; Ana E Rodriguez-Soto; Roshan A Karunamuni; Joshua M Kuperman; Dominic Holland; Rebecca Rakow-Penner; Michael E Hahn; Tyler M Seibert; Anders M Dale
Journal:  J Magn Reson Imaging       Date:  2020-10-31       Impact factor: 4.813

5.  Validity of SyMRI for Assessment of the Neonatal Brain.

Authors:  Victor Schmidbauer; Gudrun Geisl; Mariana Cardoso Diogo; Suren Jengojan; Vsevolod Perepelov; Michael Weber; Katharina Goeral; Florian Lindenlaub; Katrin Klebermass-Schrehof; Angelika Berger; Daniela Prayer; Gregor Kasprian
Journal:  Clin Neuroradiol       Date:  2020-03-11       Impact factor: 3.649

Review 6.  Mechanisms, Diagnosis and Treatment of Bone Metastases.

Authors:  Jozef Ban; Valerie Fock; Dave N T Aryee; Heinrich Kovar
Journal:  Cells       Date:  2021-10-29       Impact factor: 6.600

7.  Synthetic magnetic resonance imaging for primary prostate cancer evaluation: Diagnostic potential of a non-contrast-enhanced bi-parametric approach enhanced with relaxometry measurements.

Authors:  Yuki Arita; Hirotaka Akita; Hirokazu Fujiwara; Masahiro Hashimoto; Keisuke Shigeta; Thomas C Kwee; Soichiro Yoshida; Takeo Kosaka; Shigeo Okuda; Mototsugu Oya; Masahiro Jinzaki
Journal:  Eur J Radiol Open       Date:  2022-02-15

Review 8.  Breast Cancer Subtypes and Quantitative Magnetic Resonance Imaging: A Systemic Review.

Authors:  Toshiki Kazama; Taro Takahara; Jun Hashimoto
Journal:  Life (Basel)       Date:  2022-03-28

Review 9.  Whole-body MRI: detecting bone metastases from prostate cancer.

Authors:  Katsuyuki Nakanishi; Junichiro Tanaka; Yasuhiro Nakaya; Noboru Maeda; Atsuhiko Sakamoto; Akiko Nakayama; Hiroki Satomura; Mio Sakai; Koji Konishi; Yoshiyuki Yamamoto; Akira Nagahara; Kazuo Nishimura; Satoshi Takenaka; Noriyuki Tomiyama
Journal:  Jpn J Radiol       Date:  2021-10-25       Impact factor: 2.374

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.