When a lesion becomes symptomatic, it is important to base treatment decisions on a variety of features, rather than focus solely on radiographs. PATHFx serves an important role in this decision-making process, by helping clinicians consider disease-related, functional, anatomic, and perhaps most importantly, physiologic data.
By using six, unique, machine-learned algorithms, PATHFx provides an individualized survival trajectory suitable for clinical and surgical decision-making.
For example, very short survival estimates may be helpful to avoid unsuccessful and expensive procedures during the last month of life. For patients with intermediate survival estimates less-invasive means of treatment may be indicated. However, durable reconstruction options may be justified for those with more-favorable estimates of 6- and 12-months postoperative survival.
In general, surgical stabilization or reconstruction is generally not recommended for those patients in whom the recovery and rehabilitation time is longer than their estimated survival, though palliative procedures may be indicated in patients with pathologic fractures for pain relief and hygiene. Those patients with a longer life expectancy (3-12 months) may require less invasive stabilization, thereby minimizing pain and convalescence, to improve mobility and quality of life in their final months. Patients with more favorable survival estimates (>12 months) require durable, but more complicated, reconstructive procedures that should be expected to last many years, in some cases.