Prognostic Factors of Beasley et al for Pulmonary Atypical Carcinoid Tumors

 

Predictive factors for a negative outcome:

(1) diameter >= 3.5 cm

(2) higher mitotic rate

(3) female gender

 

Since an atypical carcinoid tumors can metastasize, I would also assume that the presence of metastases would be a negative predictor.

 

Number of Mitoses in 2 square millimiters	Diagnostic Correlates
0 – 1	pulmonary carcinoid
2 – 5 ("low")	atypical carcinoid, better prognosis
6 – 10 ("high")	atypical carcinoid, worse prognosis
>= 11	large cell neuroendocrine carcinoma or small cell carcinoma

 

where:

• The visual field area of the author's microscope with a 40x objective (high power) lens was 0.2 square mm, with 10 high power fields have an area of 2.0 mm square.

• A user of the algorithm should measure the diameter of her or his high power field (HPF), then calculate the area in square millimeters as PI * ((diameter in mm) / 2)^2.

• The total area of 10 microscopic fields in square millimeters should be 10 times this area.

 

number of mitoses user would have counted if 10 fields had an area of 2.0 square mm =

= 2 * (number counted in 10 HPF) / (total area of 10 HPF in square mm)

 

Predictive factors for a better outcome:

(1) presence of rosettes