Clinical Routine
LMS addresses lung cancer and all cancers with potential lung and liver metastases: breast, colorectal, prostate, bronchial, head-and-neck, renal, eye, stomach, pancreas, bone sarcomas, choriocarcinomas, melanomas, testicular teratomas, thyroid carcinomas.
> Diagnosis
> Staging
> Assessment of Response to Therapy
> Surveillance
LMS facilitates the diagnosis of lung cancer by providing Computer Aided Detection (CAD) of pulmonary lesions and automatic follow-up of indeterminate lung nodule.
Computer Aided Detection
LMS automatically highlights the spherical structures present in the lungs and increases the radiologists’ detection sensitivity.
Automatic Follow-up of Indeterminate Lung Nodule
LMS automatically calculates the volume growth and doubling time of indeterminate lung nodules in repeat CT scans.
Cancer staging is based on the exhaustive search of every secondary disease location. It implies identifying and reporting all metastases and especially lung metastases.
LMS-Lung has a built-in Computer Aided Detection algorithm to facilitate the detection of all lung metastases including the small ones (< 4mm) which are important to detect in cases such as testicular cancers or sarcomas.
Assessment of Response to Therapy
LMS was designed to provide quantitative assessment of response to therapy. Whether to perform the initial evaluation or the follow-up of a cancer patient, its automatic quantification tools are of great value to the clinicians.
Initial Evaluation
LMS facilitates the initial evaluation by providing:
- Easy marking of measurable and non-measurable lesions
- Automatic measurement of lung and liver lesion longest axial diameter and volume
- Manual measurement of lymph nodes or other lesions identified on CT images covering the lungs and/or liver area.
- Easy reporting of target and non-target lesions
Follow-up
LMS automates lesion follow-up and reporting in the following ways:
- Automatic image synchronization and lesion pairing in repeat CT scans
- Automatic calculation of all measurable lesion growth
- Built-in Computer Aided Detection algorithm to facilitate the detection of new lung metastases
- Automatic generation of reports according to RECIST criteria
Patients cured from cancer must still be followed in order to make sure that there is no recurrence.
LMS automates the follow-up of residual mass by synchronizing the images in repeat CT scans. Additionally, the built-in Computer Aided Detection algorithm facilitates the detection of new lung lesions.









LMS increases the diagnosis and follow-up quality, which is good for the radiologists and of course patients, and the oncologists love the automatic report that is generated...