Investigation of computer-aided diagnosis system for bone scans: a retrospective analysis in 406 patients

Abstract

The special CAD system "BONENAVI" trained with a Japanese database appears to have significant potential in assisting physicians in their clinical routine. However, an improved CAD system depending on the primary lesion of the cancer is required to decrease the proportion of false-positive findings.

Computer-assisted interpretation of planar whole-body bone scintigraphy in patients with newly diagnosed prostate cancer

“…The file format issue is relevant when comparing data among sites and in serial scans if different file formats are used.The diagnostic properties of the computer-aided analysis program showed sensitivities and specificities of 90-100% with DICOM format files and 69-88% with Interfile formats. The high sensitivities and specificities are in line with previous reports[9,10,12,17]. Most studies with EXINI Bone BSI have been performed in patients with metastatic disease in whom the prevalence of metastasis varied from 15 to 40%[10,12,15].…”

“…The high sensitivities and specificities are in line with previous reports[9,10,12,17]. Most studies with EXINI Bone BSI have been performed in patients with metastatic disease in whom the prevalence of metastasis varied from 15 to 40%[10,12,15]. In clinical practice, the true reference is seldom known and the PPV and NPVs are of major importance.…”

“…EXINI Bone BSI is one such system with solid documentation [9][10][11][12]. The validation of computer-assisted software has mostly been performed in mixed patient populations with different types of cancer, in patients with a high prevalence for metastatic disease, in retrospective settings, and with limited sample sizes.…”

Computer-assisted quantitative evaluation of bisphosphonate treatment for Paget's disease of bone using the bone scan index

“…However, the BSI was calculated from the weight and the fractional involvement of each bone, expressed as percentages of the entire skeleton; this is largely dependent upon each observer's visual evaluation (13). Following establishment of the CAD-based BONENAVI system for automatic calculation of the BSI, its usefulness in the diagnosis and monitoring of bone metastasis has been reported by several authors (11,14,15). BONENAVI is now routinely used during bone scans in various facilities, including our institution.…”

The path from big data to precision medicine

“…This approach, 'radiomics', can extract descriptions of intensity distribution, spatial relationships, and heterogeneity in shape and texture to characterize areas of interest such as tumors. It is built on the foundation of computer-aided diagnosis using medical imaging, for which algorithms have been developed for organs including the brain [82]; prostate, breast, and lung [83]; and bone [84]. The brain and cancers represent major areas of interest for development of biomarkers due to the need for noninvasive diagnosis and monitoring techniques [85].…”