Predicting mediastinal lymph node involvement in patients with non-small cell lung cancer
PID-1037; Version: V1.0.1
; Last Updated: 02-Apr-2020
David Ost, Gabriela Martinez-Zayas, Junsheng Ma, and Clift Norris
MD Anderson Cancer Center
The following model is taken from: Martinez-Zayas G, Almeida FA, Simoff MJ, Yarmus L, Molina S, Young B, et al.
A Prediction Model to Help with Oncologic Mediastinal Evaluation for Radiation: HOMER. Am J Respir Crit Care Med.
2020;201(2):212-23.
The original manuscript is available
here
(PDF).
INSTRUCTIONS: Enter a patient’s values for histology, age, location, PET N stage, and CT N stage.
For additional details on how these variables are defined, click
here.
If the histology of the patient is unknown,
it is often useful to approximate it with a range. First choose adenocarcinoma, and plug in all the other values.
This will give you the highest probability of nodal metastasis. Then change it to squamous cell carcinoma, and recalculate.
This will give you the lowest probability of nodal metastasis for that patient.