Derikx et al. New approaches to predicting fracture risk due to bone metastasis

IBMS BoneKEy ◽  
2015 ◽  
Vol 12 ◽  
pp. 738
2000 ◽  
Vol 26 (1) ◽  
pp. 11-27 ◽  
Author(s):  
G.van der Pluijm ◽  
C. Löwik ◽  
S. Papapoulos

Cancers ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 5711
Author(s):  
Cyrille B. Confavreux ◽  
Hélène Follet ◽  
David Mitton ◽  
Jean Baptiste Pialat ◽  
Philippe Clézardin

Major progress has been achieved to treat cancer patients and survival has improved considerably, even for stage-IV bone metastatic patients. Locomotive health has become a crucial issue for patient autonomy and quality of life. The centerpiece of the reflection lies in the fracture risk evaluation of bone metastasis to guide physician decision regarding physical activity, antiresorptive agent prescription, and local intervention by radiotherapy, surgery, and interventional radiology. A key mandatory step, since bone metastases may be asymptomatic and disseminated throughout the skeleton, is to identify the bone metastasis location by cartography, especially within weight-bearing bones. For every location, the fracture risk evaluation relies on qualitative approaches using imagery and scores such as Mirels and spinal instability neoplastic score (SINS). This approach, however, has important limitations and there is a need to develop new tools for bone metastatic and myeloma fracture risk evaluation. Personalized numerical simulation qCT-based imaging constitutes one of these emerging tools to assess bone tumoral strength and estimate the femoral and vertebral fracture risk. The next generation of numerical simulation and artificial intelligence will take into account multiple loadings to integrate movement and obtain conditions even closer to real-life, in order to guide patient rehabilitation and activity within a personalized-medicine approach.


2019 ◽  
Vol 42 ◽  
Author(s):  
Karen Bartsch ◽  
David Estes

Abstract In challenging the assumption of autistic social uninterest, Jaswal & Akhtar have opened the door to scrutinizing similar unexamined assumptions embedded in other literatures, such as those on children's typically developing behaviors regarding others’ minds and morals. Extending skeptical analysis to other areas may reveal new approaches for evaluating competing claims regarding social interest in autistic individuals.


2007 ◽  
Vol 177 (4S) ◽  
pp. 156-156
Author(s):  
Andrea Salonia ◽  
Pierre I. Karakiewicz ◽  
Andrea Gallina ◽  
Alberto Briganti ◽  
Tommaso C. Camerata ◽  
...  

2007 ◽  
Vol 177 (4S) ◽  
pp. 223-223
Author(s):  
Sreenivasa R. Chinni ◽  
Hamilto Yamamoto ◽  
Zhong Dong ◽  
Aaron Sabbota ◽  
Sanaa Nabha ◽  
...  

2006 ◽  
Vol 175 (4S) ◽  
pp. 135-135
Author(s):  
George N. Thalmann ◽  
H. Rhee Atlanta ◽  
R.A. Sikes ◽  
S. Pathak ◽  
Haiyen E. Zhau ◽  
...  

2006 ◽  
Vol 175 (4S) ◽  
pp. 255-256
Author(s):  
Cyrill A. Rentsch ◽  
Jeroen Buijs ◽  
Geertje Van der Horst ◽  
Petra Van Overveld ◽  
Antoinette Wetterwald ◽  
...  

2002 ◽  
Vol 38 (11) ◽  
pp. S7
Author(s):  
B Weber

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