Can conventional magnetic resonance imaging at presentation predict chemoresistance in osteosarcoma?

被引:1
作者
Kanthawang, Thanat [1 ]
Wudhikulprapan, Wanat [1 ]
Phinyo, Phichayut [2 ,3 ]
Settakorn, Jongkolnee [4 ]
Pruksakorn, Dumnoensun [5 ]
Link, Thomas M. [6 ]
Pattamapaspong, Nuttaya [1 ]
机构
[1] Chiang Mai Univ, Fac Med, Dept Radiol, 110 Intavaroros Rd, Chiang Mai 50200, Thailand
[2] Chiang Mai Univ, Fac Med, Dept Family Med, Chiang Mai 50200, Thailand
[3] Chiang Mai Univ, Fac Med, Ctr Clin Epidemiol & Clin Stat, Chiang Mai 50200, Thailand
[4] Chiang Mai Univ, Fac Med, Dept Pathol, Chiang Mai 50200, Thailand
[5] Chiang Mai Univ, Fac Med, Dept Orthoped, Chiang Mai 50200, Thailand
[6] Univ Calif San Francisco, Dept Radiol & Biomed Imaging, San Francisco, CA 94158 USA
关键词
osteosarcoma; chemotherapy; magnetic resonance imaging; MR SIGNAL INTENSITY; OSTEOGENIC-SARCOMA; PROGNOSTIC-FACTORS; NONMETASTATIC OSTEOSARCOMA; PREOPERATIVE CHEMOTHERAPY; NEOADJUVANT CHEMOTHERAPY; PEDIATRIC OSTEOSARCOMA; TUMOR SIZE; SURVIVAL; SURVEILLANCE;
D O I
10.1093/bjr/tqad047
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objectives: Histological tumour necrosis is the current indicator for the response of osteosarcoma after neoadjuvant chemotherapy. Chemoresistant tumours require close monitoring and adjustment of treatment. Characteristics of tumours on baseline MRI may be able to predict response to chemotherapy. The aim is to identify which baseline MRI findings can help predict chemoresistant osteosarcoma. Methods; Baseline MRI before giving neoadjuvant chemotherapy of 95 patients during 2008-2021 was reviewed by 2 musculoskeletal radiologists. Histological necrosis from surgical specimens was the reference standard. MRIs were reviewed for tumour characteristics (tumour volume, maximum axial diameter, central necrosis, haemorrhage, fluid-fluid level), peritumoural bone and soft tissue oedema, and other parameters including intra-articular extension, epiphyseal involvement, neurovascular involvement, pathologic fracture, and skip metastasis. The cut-off thresholds were generated by receiver operating characteristic curves which then tested for diagnostic accuracy. Results: Two-third of patients were chemoresistance (histological necrosis <90%). Tumour volume >150 mL, maximum axial diameter >7.0 cm, area of necrosis >50%, presence of intra-articular extension, and peritumoural soft tissue oedema >6.5 cm significantly predicted chemoresistance, particularly when found in combination. Tumour volume >150 mL and maximum axial diameter >7.0 cm could be used as an independent predictor (multivariable analysis, P-value = .025, .045). Conclusions: Findings on baseline MRI could help predicting chemoresistant osteosarcoma with tumour size being the strongest predictor. Advances in knowledge: Osteosarcomas with large size, large cross-sectional diameter, large area of necrosis, presence of intra-articular extension, and extensive peritumoural soft tissue oedema were most likely to have a poor response to neoadjuvant chemotherapy.
引用
收藏
页码:451 / 461
页数:11
相关论文
共 50 条
  • [21] A Systematic Review of the Heterogenous Gene Expression Patterns Associated with Multidrug Chemoresistance in Conventional Osteosarcoma
    Mthethwa, Phakamani Goodman
    Marais, Leonard Charles
    Ramsuran, Veron
    Aldous, Collen Michelle
    GENES, 2023, 14 (04)
  • [22] Different and Identical Features of Chondroblastic Osteosarcoma and Chondrosarcoma: Highlights on Radiography and Magnetic Resonance Imaging
    Yen, Chao-Hsuan
    Chang, Cheng-Yen
    Teng, Michael Mu-Huo
    Wu, Hung-Ta H.
    Chen, Paul Chih-Hsueh
    Chiou, Hong-Jen
    Chiu, Nai-Chi
    JOURNAL OF THE CHINESE MEDICAL ASSOCIATION, 2009, 72 (02) : 76 - 82
  • [23] PELVIMETRY BY MAGNETIC-RESONANCE-IMAGING IN BREECH PRESENTATION
    VANLOON, AJ
    MANTINGH, A
    THIJN, CJP
    MOOYAART, EL
    AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 1990, 163 (04) : 1256 - 1260
  • [24] Rectosigmoid endometriosis with unusual presentation at magnetic resonance imaging
    Biscaldi, Ennio
    Ferrero, Simone
    Remorgida, Valentino
    Fulcheri, Ezio
    Rollandi, Gian Andrea
    FERTILITY AND STERILITY, 2009, 91 (01) : 278 - 280
  • [25] Prognostic value of tumoral and peritumoral magnetic resonance parameters in osteosarcoma patients for monitoring chemotherapy response
    Hao, Yuewen
    An, Rui
    Xue, Yingsen
    Li, Fan
    Wang, Hong
    Zheng, Jianmin
    Fan, Linni
    Liu, Jixin
    Fan, Hongbin
    Yin, Hong
    EUROPEAN RADIOLOGY, 2021, 31 (05) : 3518 - 3529
  • [26] Magnetic resonance imaging radiomic analysis can preoperatively predict G1 and G2/3 grades in patients with NF-pNETs
    Bian, Yun
    Li, Jing
    Cao, Kai
    Fang, Xu
    Jiang, Hui
    Ma, Chao
    Jin, Gang
    Lu, Jianping
    Wang, Li
    ABDOMINAL RADIOLOGY, 2021, 46 (02) : 667 - 680
  • [27] Imaging Assessment of the Efficacy of Chemotherapy in Primary Malignant Bone Tumors: Recent Advances in Qualitative and Quantitative Magnetic Resonance Imaging and Radiomics
    Liu, Xiaoge
    Duan, Zhiqing
    Fang, Shaobo
    Wang, Shaowu
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2023, : 7 - 31
  • [28] Can peritumoral edema evaluated by Magnetic Resonance Imaging before neoadjuvant chemotherapy predict complete pathological response in breast cancer?
    Cakir Pekoz, Burcak
    Dilek, Okan
    Koseci, Tolga
    Tas, Zeynel Abidin
    Irkorucu, Oktay
    Gulek, Bozkurt
    SCOTTISH MEDICAL JOURNAL, 2023, 68 (03) : 121 - 128
  • [29] Ablative margin states by magnetic resonance imaging with ferucarbotran in radiofrequency ablation for hepatocellular carcinoma can predict local tumor progression
    Koda, Masahiko
    Tokunaga, Shiho
    Miyoshi, Kennichi
    Kishina, Manabu
    Fujise, Yuki
    Kato, Jun
    Matono, Tomomitsu
    Murawaki, Yoshikazu
    Kakite, Suguru
    Yamashita, Eijiro
    JOURNAL OF GASTROENTEROLOGY, 2013, 48 (11) : 1283 - 1292
  • [30] Can diffusion-weighted magnetic resonance imaging predict tumor recurrence of uterine cervical cancer after concurrent chemoradiotherapy?
    Bae, Jung Min
    Kim, Chan Kyo
    Park, Jung Jae
    Park, Byung Kwan
    ABDOMINAL RADIOLOGY, 2016, 41 (08) : 1604 - 1610