Literature DB >> 27852643

Correlation between apparent diffusion coefficient and histopathology subtypes of osteosarcoma after neoadjuvant chemotherapy.

Jifei Wang1, Meili Sun2, Dawei Liu3, Xiaoshu Hu1, Margaret H Pui4, Quanfei Meng1, Zhenhua Gao1.   

Abstract

Background Neoadjuvant chemotherapy has made limb-salvage surgery possible for the patients with osteosarcoma. Diffusion-weighted magnetic resonance imaging (DWI) has been used to monitor chemotherapy response. Purpose To correlate the apparent diffusion coefficient (ADC) values with histopathology subtypes of osteosarcoma after neoadjuvant chemotherapy. Material and Methods Twelve patients with osteoblastic (n = 7), chondroblastic (n = 4), and fibroblastic (n = 1) osteosarcomas underwent post-chemotherapy DWI before limb-salvage surgery. ADCs corresponding to 127 histological tissue samples from the 12 resected specimens were compared to histological features. Results The mean ADC value of non-cartilaginous viable tumor (38/91, ADC = 1.22 ± 0.03 × 10-3 mm2/s) was significantly ( P < 0.001) lower than that of non-cartilaginous tumor cell necrosis without stroma disintegration (25/91, ADC =1.77 ± 0.03 × 10-3 mm2/s), cartilaginous viable tumor (14/91, ADC = 2.19 ± 0.04 × 10-3 mm2/s), and cystic areas including liquefied necrosis, blood space, and secondary aneurysmal bone cyst (14/91, ADC = 2.29 ± 0.05 × 10-3 mm2/s). The mean ADC value of non-cartilaginous tumor cell necrosis was also significantly ( P < 0.001) smaller than those of viable cartilaginous tumor and cystic/hemorrhagic necrosis whereas the mean ADC values were not significantly ( P > 0.05) different between viable cartilaginous tumor and cystic/hemorrhagic necrosis. Conclusion DWI allows assessment of tumor necrosis after neoadjuvant chemotherapy by ADC differences between viable tumor and necrosis in fibroblastic and osteoblastic osteosarcomas whereas viable chondroblastic osteosarcoma has high ADC and cannot be distinguished reliably from necrosis.

Entities:  

Keywords:  Osteosarcoma; apparent diffusion coefficient (ADC); diffusion-weighted imaging (DWI); neoadjuvant chemotherapy

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Year:  2016        PMID: 27852643     DOI: 10.1177/0284185116678276

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  6 in total

1.  Correlation of quantitative diffusion weighted MR imaging between benign, malignant chondrogenic and malignant non-chondrogenic bone tumors with histopathologic type.

Authors:  Rosy Setiawati; M S Suarnata; Paulus Rahardjo; Del Grande Filippo; Giuseppe Guglielmi
Journal:  Heliyon       Date:  2021-03-08

Review 2.  Multiparametric MRI evaluation of bone sarcomas in children.

Authors:  Emilio J Inarejos Clemente; Oscar M Navarro; Maria Navallas; Enrique Ladera; Ferran Torner; Mariona Sunol; Moira Garraus; Jordi Català March; Ignasi Barber
Journal:  Insights Imaging       Date:  2022-03-01

3.  Feasibility of multi-parametric magnetic resonance imaging combined with machine learning in the assessment of necrosis of osteosarcoma after neoadjuvant chemotherapy: a preliminary study.

Authors:  Bingsheng Huang; Jifei Wang; Meili Sun; Xin Chen; Danyang Xu; Zi-Ping Li; Jinting Ma; Shi-Ting Feng; Zhenhua Gao
Journal:  BMC Cancer       Date:  2020-04-15       Impact factor: 4.430

4.  Prediction of Poor Responders to Neoadjuvant Chemotherapy in Patients with Osteosarcoma: Additive Value of Diffusion-Weighted MRI including Volumetric Analysis to Standard MRI at 3T.

Authors:  Seul Ki Lee; Won-Hee Jee; Chan Kwon Jung; Soo Ah Im; Nack-Gyun Chung; Yang-Guk Chung
Journal:  PLoS One       Date:  2020-03-10       Impact factor: 3.240

5.  Diffusion Kurtosis Imaging as a Prognostic Marker in Osteosarcoma Patients with Preoperative Chemotherapy.

Authors:  Chenglei Liu; Yue Xing; Dongmin Wei; Qiong Jiao; Qingcheng Yang; Dapeng Lei; Xiaofeng Tao; Weiwu Yao
Journal:  Biomed Res Int       Date:  2020-09-26       Impact factor: 3.411

6.  Diffusion-weighted imaging in differentiating mid-course responders to chemotherapy for long-bone osteosarcoma compared to the histologic response: an update.

Authors:  Céline Habre; Alexia Dabadie; Anderson D Loundou; Jean-Bruno Banos; Catherine Desvignes; Harmony Pico; Audrey Aschero; Nathalie Colavolpe; Charlotte Seiler; Corinne Bouvier; Emilie Peltier; Jean-Claude Gentet; Christiane Baunin; Pascal Auquier; Philippe Petit
Journal:  Pediatr Radiol       Date:  2021-04-20
  6 in total

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