Description

Dalal et al developed a nomogram for predicting survival in a patient with a primary liposarcoma arising in the retroperitoneum, trunk or extremity. This can help identify patients who may benefit from more aggressive management or a novel therapeutic approach. The authors are from Memorial Sloan-Kettering Cancer Center and the Cleveland Clinic.


Outcome: disease-specific outcome

 

Parameters:

(1) gender of the patient

(2) age of the patient (from 10 to 100 years)

(3) presentation

(4) tumor depth relative to fascia

(5) location

(6) histology

(7) margin  status at resection

(8) tumor burden in cm (presumably the diameter)

 

points for age =

= (0.602 * (age in years)) - 6.02

 

Parameter

Finding

Points

gender of the patient

female

0

 

male

10.7

presentation status

no prior surgical therapy

30.2

 

prior surgical excision

0

 

biopsy

40.5

tumor depth

deep

0

 

superficial

11.6

location

lower extremity

0

 

upper extremity

4.6

 

trunk

9.8

 

retroperitoneum without organ resection

38.2

 

retroperitoneum with contiguous organ resection

41.7

histology

well-differentiated

0

 

myxoid

39.4

 

round cell 5 - 25%

66.5

 

round cell > 25%

79.2

 

dedifferentiated

60.1

 

pleomorphic

100

margin status

microscopically positive

0

 

negative

3.6

 

grossly positive

44.8

 

 

Tumor Burden in cm

Points

0 to 30 cm

(-0.071 * ((cm)^2)) + (4.428 * (cm)) - 0.270

30 to 140 cm

(0.1556 * (cm)) +63.86

 

total score =

= SUM(points for all 8 parameters)

 

Interpretation:

• minimum score: 0

• maximum score: 350 or more

• The higher the score the worse the disease-specific survival.

 

Total Score

12 Year Disease Specific Survival

< 49

> 99%

49 - 268

X = (-0.000121 * ((score)^2)) + (0.00019 * (score)) + 4.623 probability = 1 / (1 + EXP((-1) *X))

> 268

< 1%

 

 

Total Score

12 Year Disease Specific Survival

< 49

> 99%

49 - 106

95 - 99%

107 - 200

(-0.000049 * ((score)^2)) + (0.01017 * (score)) + 0.4149

177 - 244

(-0.009006 * (score)) + 2.296

244 - 268

(0.000066 * ((score)^2)) - (0.03799 * (score)) + 5.484

> 268

< 1%

 

 

Total Score

5 Year Disease Specific Survival

< 74

> 99%

74 - 293

Y = (-0.000122 * ((score)^2)) + (0.00634 * (score)) + 4.544; probability = 1 / (1 + EXP((-1) *Y))

> 293

< 1%

 

 

Total Score

5 Year Disease Specific Survival

< 74

> 99%

74 - 133

95 - 99%

133 - 202

(-0.000042 * ((score)^2)) + (0.01066 * (score)) + 0.2826

186 - 246

(-0.000051 * ((score)^2)) + (0.01368 * (score)) + 0.0156

246 - 293

(0.000079 * ((score)^2)) - (0.04849 * (score)) + 7.451

> 293

< 1%

 


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