Literature DB >> 8299327

The value of computed tomographic measurements in osteosarcoma as a predictor of response to adjuvant chemotherapy.

R M Wellings1, A M Davies, P B Pynsent, S R Carter, R J Grimer.   

Abstract

The response to pre-operative adjuvant chemotherapy was assessed with computed tomography (CT) in 41 osteosarcomas of the long bones of the lower limb. Measurements were made of cross-sectional tumour areas and volumes on both the pre- and post-chemotherapy CT examinations. Changes in these measurements were compared with the percentage necrosis determined from examination of the tumour histology from the excised specimen in 39 cases. An increase in the relative size of the tumour (expressed as a ratio of the pretreatment volume) showed a statistically significant correlation with a poor tumour response as judged by the degree of tumour necrosis. Further analysis of the results showed that quantitative assessment of tumour response by CT is able to identify cases with poor response to therapy (negative predictive value = 0.9). This is, however, only achieved with a low specificity (0.5-0.6). These findings are in agreement with other studies of tumour volume changes using MR imaging.

Entities:  

Mesh:

Year:  1994        PMID: 8299327     DOI: 10.1016/s0009-9260(05)82908-3

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  8 in total

1.  Early response monitoring to neoadjuvant chemotherapy in osteosarcoma using sequential ¹⁸F-FDG PET/CT and MRI.

Authors:  Byung Hyun Byun; Chang-Bae Kong; Ilhan Lim; Byung Il Kim; Chang Woon Choi; Won Seok Song; Wan Hyeong Cho; Dae-Geun Jeon; Jae-Soo Koh; Soo-Yong Lee; Sang Moo Lim
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-03-21       Impact factor: 9.236

2.  Prediction of response to neoadjuvant chemotherapy in osteosarcoma using dual-phase (18)F-FDG PET/CT.

Authors:  Byung Hyun Byun; Sung Hoon Kim; Sang Moo Lim; Ilhan Lim; Chang-Bae Kong; Won Seok Song; Wan Hyeong Cho; Dae-Geun Jeon; Soo-Yong Lee; Jae-Soo Koh; Soo Kyo Chung
Journal:  Eur Radiol       Date:  2015-02-14       Impact factor: 5.315

3.  Ultrasonographic monitoring of the effects of preoperative chemotherapy in osteosarcoma and Ewing's sarcoma.

Authors:  T Kinoshita; S Tatezaki; O Matsuzoki; M Inoue
Journal:  Int Orthop       Date:  1995       Impact factor: 3.075

4.  MRI-based radiomics signature for pretreatment prediction of pathological response to neoadjuvant chemotherapy in osteosarcoma: a multicenter study.

Authors:  Haimei Chen; Xiao Zhang; Xiaohong Wang; Xianyue Quan; Yu Deng; Ming Lu; Qingzhu Wei; Qiang Ye; Quan Zhou; Zhiming Xiang; Changhong Liang; Wei Yang; Yinghua Zhao
Journal:  Eur Radiol       Date:  2021-03-30       Impact factor: 5.315

5.  Tumor volume change after chemotheraphy as a predictive factor of disease free survival for osteosarcoma.

Authors:  Seong-Hwan Moon; Kyoo-Ho Shin; Jin-Suck Suh; Woo-Ick Yang; Jae-Keong Noh; Soo-Bong Hahn
Journal:  Yonsei Med J       Date:  2005-02-28       Impact factor: 2.759

Review 6.  The role of SPET and PET in monitoring tumour response to therapy.

Authors:  Chariklia Giannopoulou
Journal:  Eur J Nucl Med Mol Imaging       Date:  2003-06-14       Impact factor: 9.236

7.  A new relative tumor sizing method in epi-metaphyseal osteosarcoma.

Authors:  Seung Hyun Kim; Kyoo-Ho Shin; Eun Hae Park; Yong Jin Cho; Byoung-Kyu Park; Jin-Suck Suh; Woo-Ick Yang
Journal:  BMC Cancer       Date:  2015-04-15       Impact factor: 4.430

8.  Evaluation of static and dynamic MRI for assessing response of bone sarcomas to preoperative chemotherapy: Correlation with histological necrosis.

Authors:  Priyadarshi Amit; Atul Malhotra; Rahul Kumar; Lokesh Kumar; Dilip Kumar Patro; Sundar Elangovan
Journal:  Indian J Radiol Imaging       Date:  2015 Jul-Sep
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.