Most hypodense splenic lesions on CT represent benign lesions that require no further work-up.
The majority of these nodules represent benign angiomyolipomas (AMLs), which are present in 0.3 2.1 % of the population at autopsy [1].
In general, the majority of hypodense splenic lesions on contrast-enhanced, portal-venous CT represent benign lesions that require no further work-up.
The vast majority of radiolucent lesions of the mandible seen on conventional radiographs represent benign lesions that require no further work-up.
The problem is tackled as a five-class classification problem, where the first class represents benign lesions, and the remaining four classes represent the different stages of the melanoma (via the Breslow index).
Gaskin et al. already stated that when an extremity or body wall lesion is considered suggestive of well-differentiated liposarcoma, 64% of these lesions will turn out to represent benign lipoma variants containing nonlipomatous elements [22].
For improved visualisation, the composite index value was transformed into a diagnostic index (DI) where values from –1.0 to 0.0 represent water (dark blue), values of 0.1 1.5 represent fat (light blue), values of 1.5 3.0 represent normal glandular breast tissue (turquoise/yellow), values of 3.1 5.0 represent benign lesions (orange), and values > 5.0 represent malignancy (red).
The observers classified each std-SPECT/CT and UF-SPECT/CT result separately into one of three categories: (1) normal findings or findings considered to represent benign conditions (M0), (2) equivocal findings in which changes were observed on std-SPECT/CT or UF-SPECT/CT but could not be categorized as benign or malignant (Me), or (3) findings of bone metastases (M1).
Similarly, Xu et al. [40] reviewed the images of patients with diagnoses of lung cancer in annual repeat rounds of CT screening and showed that some cancers were recognized at previous LDCT scans but they were considered to represent benign rather than malignant findings.
Expansion of genome coverage in clinical arrays is always accompanied by the detection of copy number variation (CNVs) that might represent benign polymorphic changes.
