Skip to main content

Advertisement

Log in

Prediction of pathological fracture in patients with lower limb bone metastasis using computed tomography imaging

  • Research Paper
  • Published:
Clinical & Experimental Metastasis Aims and scope Submit manuscript

Abstract

Lower limb pathological fractures caused by bone metastases can severely impair activities of daily living, so recognizing fracture risk is essential. Medial cortical involvement (MCI) in the proximal femur has been demonstrated to affect bone strength in biomechanical studies, but it has not been investigated in real patients. Between 2012 and 2019, 161 bone metastases with computed tomography (CT) images were retrospectively examined. Twenty-nine fractures were observed including 14 metastases with pathological fractures at the first examination, and prophylactic surgery was performed for 50 metastases. We extracted clinicopathological data using CT images, including patient’s background, MCI in the proximal femur, site, size, circumferential cortical involvement (CCI), pain, and nature of metastasis. Cox proportional hazard regression analyses were performed, and we created integer scores for predicting fractures. We revealed that MCI, CCI, lytic dominant lesion, and pain were significant factors by univariate analyses. By multivariable analysis, MCI and each 25% CCI were significant and integer score 1 was assigned based on hazard ratio. The full score was four points, with MCI in the proximal femur (one point) and ≥ 75% CCI (three points). With integer score two, sensitivity was 88.9% and specificity was 81.2% for predicting fracture within 60 days. In conclusion, MCI and CCI examined by CT images were the risk factors for pathological fracture. CCI ≥ 50% is a widely known risk factor, but in addition, it may be better to consider surgery if MCI in the proximal femur is observed in metastasis with 25–50% CCI.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Abbreviations

SREs:

Skeletal related events

ADL:

Activities of daily living

QOL:

Quality of life

MCI:

Medial cortical involvement

BMA:

Bone-modifying agent

CT:

Computed tomography

CRP:

C reactive protein

Alb:

Albumin

CCI:

Circumferential cortical involvement

ROC:

Receiver Operating Characteristic

AUC:

Area under the curve

IQR:

Interquartile range

HR:

Hazard ratio

FE method:

Finite element method

References

  1. Maemondo M, Inoue A, Kobayashi K et al (2010) Gefitinib or chemotherapy for non-small-cell lung cancer with mutated EGFR. N Engl J Med 362:2380–2388

    Article  CAS  Google Scholar 

  2. Robert C, Long GV, Brady B et al (2015) Nivolumab in previously untreated melanoma without BRAF mutation. N Engl J Med 372:320–330

    Article  CAS  Google Scholar 

  3. Hage WD, Aboulafia AJ, Aboulafia DM (2000) Incidence, location, and diagnostic evaluation of metastatic bone disease. Orthop Clin N Am 31:515–528

    Article  CAS  Google Scholar 

  4. Hosono N, Yonenobu K, Fuji T, Ebara S, Yamashita K, Ono K (1995) Orthopaedic management of spinal metastases. Clin Orthop Relat Res 312:148–159

    Google Scholar 

  5. Coleman RE (2001) Metastatic bone disease: clinical features, pathophysiology and treatment strategies. Cancer Treat Rev 27:165–167

    Article  CAS  Google Scholar 

  6. Shinoda Y, Sawada R, Yoshikawa F et al (2019) Factors related to the quality of life in patients with bone metastases. Clin Exp Metastasis 36:441–448

    Article  CAS  Google Scholar 

  7. Ward WG, Holsenbeck S, Dorey FJ, Spang J, Howe D (2003) Metastatic disease of the femur: surgical treatment. Clin Orthop Relat Res 415S:S230–244

    Article  Google Scholar 

  8. Mirels H (1989) Metastatic disease in long bones. A proposed scoring system for diagnosing impending pathologic fractures. Clin Orthop Relat Res 249:256–264

    Google Scholar 

  9. Van der Linden YM, Kroon HM, Dijkstra SP et al (2003) Simple radiographic parameter predicts fracturing in metastatic femoral bone lesions: results from a randomized trial. Radiother Oncol 69:21–31

    Article  Google Scholar 

  10. Keyak JH, Kaneko TS, Skinner HB et al (2007) The effect of simulated metastatic lytic lesions on proximal femoral strength. Clin Orthop Relat Res 459:139–145

    Article  Google Scholar 

  11. Shinoda Y, Kobayashi H, Kaneko M et al (2019) Prediction of the pathological fracture risk during stance and fall-loading configurations for metastases in the proximal femur, using a computed tomography-based finite element method. J Orthop Sci 24:1074–1080

    Article  Google Scholar 

  12. Kawabata Y, Matsuo K, Nezu Y et al (2017) The risk assessment of pathological fracture in the proximal femur using a CT-based finite element method. J Orthop Sci 22:931–937

    Article  Google Scholar 

  13. Sivasundaram R, Shah S, Ahmadi S et al (2013) The biomechanical effect of proximal tumor defect location on femur pathological fractures. J Orthop Trauma 27:e174–e180

    Article  Google Scholar 

  14. Benca E, Reisinger A, Patsch JM et al (2017) Effect of simulated metastatic lesions on the biomechanical behavior of the proximal femur. J Orthop Res 35:2407–2414

    Article  Google Scholar 

  15. Tanck E, van Aken JB, van der Linden YM et al (2009) Pathological fracture prediction in patients with metastatic lesions can be improved with quantitative computed tomography based computer models. Bone 45:777–783

    Article  Google Scholar 

  16. Hamaoka T, Madewell JE, Podoloff DA et al (2004) Bone imaging in metastatic breast cancer. J Clin Oncol 22:2942–2953

    Article  Google Scholar 

  17. Katagiri H, Okada R, Takagi T et al (2014) New prognostic factors and scoring system for patients with skeletal metastasis. Cancer Med 3:1359–1367

    Article  Google Scholar 

  18. Yamaguchi T, Tamai K, Yamato M et al (1996) Intertrabecular pattern of tumors metastatic to bone. Cancer 78:1388–1394

    Article  CAS  Google Scholar 

  19. Yamaguchi T (2001) Intertrabecular vertebral metastases: metastases only detectable on MR imaging. Semin Musculoskelet Radiol 5:171–175

    Article  CAS  Google Scholar 

  20. Harrington KD (1982) New trends in the management of lower extremity metastases. Clin Orthop Relat Res 169:53–61

    Google Scholar 

  21. Dijkstra PD, Oudkerk M, Wiggers T (1997) Prediction of pathological subtrochanteric fractures due to metastatic lesions. Arch Orthop Trauma Surg 116:221–224

    Article  CAS  Google Scholar 

  22. Hirai T, Shinoda Y, Tateishi R (2019) Early detection of bone metastases of hepatocellular carcinoma reduces bone fracture and paralysis. Jpn J Clin Oncol 49:529–536

    Article  Google Scholar 

  23. Fidler M (1981) Incidence of fracture through metastases in long bones. Acta Orthop 52:623–627

    Article  CAS  Google Scholar 

  24. Menck H, Schulze S, Larsen E (1988) Metastasis size in pathologic femoral fractures. Acta Orthop 59:151–154

    Article  CAS  Google Scholar 

  25. Tatar Z, Soubrier M, Dillies AF et al (2014) Assessment of the risk factors for impending fractures following radiotherapy for long bone metastases using CT scan-based virtual simulation: a retrospective study. Radiat Oncol 9:227

    Article  Google Scholar 

  26. Groenen KH, Pouw MH, Hannink G et al (2016) The effect of radiotherapy, and radiotherapy combined with bisphosphonates or RANK ligand inhibitors on bone quality in bone metastases. A systematic review. Radiother Oncol 119:194–201

    Article  CAS  Google Scholar 

Download references

Acknowledgment

We would like to thank Editage (www.editage.jp) for English language editing.

Funding

This work was supported by KAKENHI (Grants-in-Aid for Scientific Research (C)) Grant Number 15K10388.

Author information

Authors and Affiliations

Authors

Contributions

Conception and design of the study: YS, HK; Collection and assembly of data: YS, RS, YI, TA, LZ, TH, MI, KO, TO; Analysis and interpretation of data: YS, HO, HK; Drafting of the article: YS; Critical revision of the article for important intellectual content: TA, HK, TG, ST; Final approval of the article: NH.

Corresponding author

Correspondence to Yusuke Shinoda.

Ethics declarations

Conflicts of interest

The authors declare that they have no conflicts of interest regarding the publication of this paper.

Ethical approval

This study was conducted according to the ethical guidelines for epidemiological research laid out by the Japanese Ministry of Education, Culture, Sports, Science and Technology, and the Ministry of Health, Labour and Welfare. The study protocol was included in a comprehensive protocol developed by the Department of Rehabilitation and the Department of Orthopaedic Surgery, the University of Tokyo Hospital. The study was approved by the University of Tokyo Medical Research Center Ethics Committee (approval number: 2373).

Consent to participate

All participants were provided a means to opt out.

Availability of data and material

The datasets during and/or analysed during the current study available from the corresponding author on reasonable request.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

(PPTX 39 kb)

(XLSX 14 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shinoda, Y., Sawada, R., Ishibashi, Y. et al. Prediction of pathological fracture in patients with lower limb bone metastasis using computed tomography imaging. Clin Exp Metastasis 37, 607–616 (2020). https://doi.org/10.1007/s10585-020-10053-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10585-020-10053-z

Keywords

Navigation