{"id":2776,"date":"2026-01-14T11:29:08","date_gmt":"2026-01-14T11:29:08","guid":{"rendered":"https:\/\/www.raylytic.com\/?page_id=2776"},"modified":"2026-01-14T11:30:56","modified_gmt":"2026-01-14T11:30:56","slug":"algorithm-for-automation-of-sagittal-balance-parameters","status":"publish","type":"page","link":"https:\/\/www.raylytic.com\/en\/references\/algorithm-for-automation-of-sagittal-balance-parameters\/","title":{"rendered":"Algorithm for automation of sagittal balance parameters"},"content":{"rendered":"\t\t
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Prof. Dr. J\u00f6rg Franke \/\/ Clinic Magdeburg<\/h4>\t\t\t\t<\/div>\n\t\t\t\t
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Fully automated method for measuring spinal sagittal balance parameters<\/b><\/h1>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Challenge<\/b><\/h3>\t\t\t\t<\/div>\n\t\t\t\t
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Measuring parameters of<\/span>\u00a0<\/span>sagittal balance (SB) is essential in the treatment of spinal disorders<\/span>. Howe<\/span>ver<\/span>, <\/span>it<\/span> is a time-consuming and labor-intensive manual process.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Solution<\/b><\/h3>\t\t\t\t<\/div>\n\t\t\t\t
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RAYLYTIC partnered with Prof. Dr. J\u00f6rg Franke to develop and systematically evaluate a fully automated algorithm for determining SB parameters.<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Outcome<\/b><\/h3>\t\t\t\t<\/div>\n\t\t\t\t
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The algorithm demonstrated excellent reliability when compared to <\/span>manual <\/span>measurements<\/span> by experienced physicians<\/span>. <\/span>The r<\/span>esults of the <\/span>validation study <\/span>w<\/span>ere<\/span> published in the <\/span><\/span>European Spine Journal <\/span><\/span><\/span><\/em>in July 2022<\/span><\/span><\/span>.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Excerpt<\/b><\/h3>\t\t\t\t<\/div>\n\t\t\t\t
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RAYLYTIC partnered with Prof. Dr. J\u00f6rg Franke, chief of orthopedic and emergency surgery at the <\/span>Clinic Magdeburg<\/span> in Germany<\/span>, to develop a fully automat<\/span>ed<\/span> method that would reduce the time and effort needed to compute essential pre- and postoperative SB parameters.\u00a0<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Challenge: Essential, yet time-consuming sagittal balance measurements <\/b>
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Sagittal balance parameters in clinical routines<\/h3>\t\t\t\t<\/div>\n\t\t\t\t
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Reestablishing SB is the goal of many spinal surgeries, as radiographic parameters of SB have been shown to correlate significantly with patient outcomes, like quality of life and condition-specific disability<\/span>.<\/span> The accurate pre- and postoperative analysis of SB parameters is therefore essential to the successful treatment of spinal disorders.<\/span>\u00a0<\/span><\/p>

For Prof. Franke, global and segmental analysis of these geometric interrelations between spine and pelvis heavily influence his surgical care strategies. Preoperatively, they can be used to guide surgical decision making, while postoperatively, they can serve as a quality metric to determine if surgery achieved and maintained balance in the sagittal plane.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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Limitations of current clinical approaches <\/h5>\t\t\t\t<\/div>\n\t\t\t\t
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Current clinical approaches for determining SB parameters are not only time-consuming and labor-intensive, but also rely on the subjective experience of the observer. Although software exists for measuring SB parameters, it still requires manual \u2013 and therefore subjective \u2013 user input for the placement of anatomical landmarks.\u00a0<\/span>\u00a0<\/span><\/p>

Moreover, higher volumes of imaging data and more complex cases have put additional strain on his staff. According to Prof. Franke, these manual measurements can take up to 15 minutes per patient \u2013 a tall order for his clinic\u2019s radiology department that is reckoning with resource shortages.\u00a0<\/span>\u00a0<\/span><\/p>

Taken together, these limitations make the objective and efficient of analysis of SB parameters for different purposes \u2013 clinical diagnostics, treatment planning, scientific research, registry and big data analyses \u2013 difficult in the face of skyrocketing radiology workloads, which have tripled in the last 15 years.\u00a0<\/span>\u00a0<\/span><\/p>

A fully automated tool for measuring SB parameters could not only alleviate clinics from routine manual tasks, but also elevate patient care by generating insights from massive repositories of data.<\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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Solution: Fully automated algorithm for measuring sagittal balance parameters <\/b> <\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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RAYLYTIC partnered with Prof. Franke to develop and systematically evaluate the reliability of an algorithm that could significantly relieve these challenges by automatically computing the following SB parameters:\u00a0<\/span><\/p>