| MDT | Any test that involves detection/identification of nucleic acids (DNA/RNA), proteins, chromosomes, enzymes, chemotherapy sensitivity and/or other metabolites; may include multiple components or algorithms. |
| LDT | Any test developed by a laboratory without FDA approval or clearance. |
| Analytical Validity | Assessment of a test's technical performance (sensitivity, specificity, accuracy, precision); ability of the test to accurately and reliably detect the mutation and/or variant. |
| Clinical Validity | Ability of a test to classify a patient's circumstance into diagnostic, prognostic, or predictive functional category; ability to detect the disease of interest in the defined population. |
| Clinical Utility | Ability of a test to provide information related to patient care/management and to inform treatment decisions; CMS focuses on whether test use guides management and leads to improved health outcomes. |
| PLA | Pigmented Lesion Assay — a noninvasive adhesive patch gene expression test detecting LINC00518 and/or PRAME to assist biopsy decisions for suspicious melanocytic lesions. |
| GPS | Genomic Prostate Score — a 17-gene biopsy-based genomic assay providing a score (0-100) to help predict prostate cancer aggressiveness and adverse pathology. |
| DCIS Score | RNA-based assay score (Oncotype DX DCIS) predicting 10-year ipsilateral breast event risk in ductal carcinoma in situ; reported from FFPE tissue. |
| FFPE | Formalin-fixed paraffin-embedded tissue specimen type validated for many assays (e.g., Oncotype DCIS, myPath, ThyroSeq use FFPE). |
| Medicare member relevance | Tests for conditions manifesting in newborns/early childhood, prenatal diagnostic testing, and carrier screening are generally not relevant or covered for Medicare beneficiaries. |
| Likely Benign (BDX-XL2) | BDX-XL2 report category when post-test probability that a lung nodule is benign is 90% or higher (post-test benign probability / NPV metric per PANOPTIC validation). |
| BDX-XL2 NPV | BDX-XL2 negative predictive value (post-test benign probability) validated in PANOPTIC; example NPV 98% for XL_2(k) 0–0.131 (sensitivity 97%, specificity 44%). |
| BCR (Benign Call Rate) | Proportion of nodules tested with a 'benign' or 'negative' molecular result; used as a performance metric for rule-out tests (defined in definitions list). |
| NPV | Negative predictive value — probability the condition is absent given a negative test; performance depends on prevalence. |
| Rule-out test | Molecular test designed to identify benign nodules and avoid surgery (high sensitivity/NPV); described for thyroid and lung nodule contexts. |
| Rule-in test | Molecular test designed to predict aggressiveness of malignancy to aid surgical decision making (PPV-focused). |
| General test | Molecular test that can act as both rule-in and rule-out depending on intended use and performance characteristics. |
| PLA sampling | Four adhesive patches placed on lesion; lab dissects outlined tissue and performs RNA extraction from lesional tissue; positive if LINC00518 and/or PRAME detected. |
| XL_2(k) | BDX-XL2 numerical score between 0 and 1 calculated from 2 protein analytes and 5 clinical risk factors used to index post-test benign probability (reported bins with corresponding NPV). |
| BDX-XL2 intended use | Intended for 8–30 mm lung nodules in patients ≥40 years with pre-test Mayo Clinic Model cancer risk ≤50%; 'Likely Benign' when post-test benign probability ≥90%. |
| BDX-XL2 performance (PANOPTIC) | Validation (n=178 intended-use): sensitivity 97% (82-100%), specificity 44% (36-52%), NPV 98% (92-100%), PPV 25% (17-34%) — post-test probabilities and bin performance detailed. |
| myPath Melanoma | 23-gene expression profile performed on FFPE sections as adjunct for diagnostically equivocal primary cutaneous melanocytic neoplasms; clinical validation sensitivity/specificity ~90-94%/91-96%. |
| Oncotype DX DCIS | RNA-based 12-gene DCIS Score reported from FFPE, predicts 10-year ipsilateral breast event risk; coverage criteria require DCIS pathology, FFPE ≥0.5 mm DCIS length, use to decide radiation vs surgery. |
| ThyroSeq / ThyraMIR / Afirma | Examples of molecular classifiers for indeterminate thyroid FNAs: ThyroSeq v3 (NGS genomic classifier), ThyGeNEXT/ThyraMIR, Afirma GSC — classified as rule-out/rule-in/general tests depending on validation metrics. |