Automatic Face Classification of Cushing's Syndrome in Women - A Novel Screening Approach

Kosilek, Robert P; Schopohl, Jochen; Grünke, Mathias; Reincke, Martín; Dimopoulou, Christina; Stalla, G. K.; Würtz, Rolf P.; Lammert, Alexander; Günther, Manuel; Schneider, Harald J.

doi:10.1055/s-0033-1349124

Cited by 29 publications

(32 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This chapter aims to provide a basic explanation of the image analysis and classification method as it was used by the authors of this review. It has been extensively described in previous publications from our group from 2011 and 2013 (4,5). The principles of image analysis and classification as described are comparable within the studies presented in this review.…”

Section: Basic Description Of the Facial Image Analysis And Classificmentioning

confidence: 60%

“…The authors of this review also applied the method to the detection of CS in a proof-of-concept study and published the results in 2013 (5). For this, the experiments were repeated in the original setup with a cohort of 20 female patients suffering from endogenous or iatrogenic CS and 40 age-and gender-matched control subjects.…”

Section: Application In Cs and Current Researchmentioning

confidence: 99%

See 1 more Smart Citation

Diagnostic use of facial image analysis software in endocrine and genetic disorders: review, current results and future perspectives

Kosilek

Frohner

Würtz

et al. 2015

European Journal of Endocrinology

View full text Add to dashboard Cite

Cushing's syndrome (CS) and acromegaly are endocrine diseases that are currently diagnosed with a delay of several years from disease onset. Novel diagnostic approaches and increased awareness among physicians are needed. Face classification technology has recently been introduced as a promising diagnostic tool for CS and acromegaly in pilot studies. It has also been used to classify various genetic syndromes using regular facial photographs. The authors provide a basic explanation of the technology, review available literature regarding its use in a medical setting, and discuss possible future developments. The method the authors have employed in previous studies uses standardized frontal and profile facial photographs for classification. Image analysis is based on applying mathematical functions evaluating geometry and image texture to a grid of nodes semi-automatically placed on relevant facial structures, yielding a binary classification result. Ongoing research focuses on improving diagnostic algorithms of this method and bringing it closer to clinical use. Regarding future perspectives, the authors propose an online interface that facilitates submission of patient data for analysis and retrieval of results as a possible model for clinical application.

show abstract

Section: Basic Description Of the Facial Image Analysis And Classificmentioning

confidence: 60%

Section: Application In Cs and Current Researchmentioning

confidence: 99%

Diagnostic use of facial image analysis software in endocrine and genetic disorders: review, current results and future perspectives

Kosilek

Frohner

Würtz

et al. 2015

European Journal of Endocrinology

View full text Add to dashboard Cite

show abstract

“…One recent study showed that face classification software correctly classified nearly all patients (85%) and controls (95%) using facial photographs. Further prospective research in patients suspected of having Cushing’s syndrome is needed to validate this tool (12). …”

Section: Signs and Symptoms Of Cushing’s Syndromementioning

confidence: 99%

Cushing's syndrome: update on signs, symptoms and biochemical screening

Nieman

2015

European Journal of Endocrinology

293

153

View full text Add to dashboard Cite

Endogenous pathologic hypercortisolism, or Cushing’s syndrome, is associated with poor quality of life, morbidity and increased mortality. Early diagnosis may mitigate against this natural history of the disorder. The clinical presentation of Cushing’s syndrome varies, in part related to the extent and duration of cortisol excess. When hypercortisolism is severe, its signs and symptoms are unmistakable. However, most of the signs and symptoms of Cushing’s syndrome are common in the general population (e.g. hypertension and weight gain) and not all are present in every patient. In addition to classical features of glucocorticoid excess, such as proximal muscle weakness and wide purple striae, patients may present with the associated co-morbidities that are caused by hypercortisolism. These include cardiovascular disease, thromboembolic disease, psychiatric and cognitive deficits, and infections. As a result, internists and generalists must consider Cushing’s syndrome as a cause, and endocrinologists should search for and treat these co-morbidities. Recommended tests to screen for Cushing’s syndrome include 1 mg dexamethasone suppression, urine free cortisol and late night salivary cortisol. These may be slightly elevated in patients with physiologic hypercortisolism, which should be excluded, along with exogenous glucocorticoid use. Each screening test has caveats and the choice of tests should be individualized based on each patient’s characteristics and lifestyle. The objective of this review was to update the readership on the clinical and biochemical features of Cushing’s syndrome that are useful when evaluating patients for this diagnosis.

show abstract

“…The methods described in previous sections are suitable to be applied in other conditions as well. For example, the use of facial imaging has also been applied to evaluate facial abnormalities, using facial features and classifiers to assess conditions such as acromegaly [180], [181] and Cushing's syndrome [181], [182] or craniofacial deformations associated with specific syndromes [13], [136].…”

Section: G Other Conditionsmentioning

confidence: 99%

A Survey on Computer Vision for Assistive Medical Diagnosis From Faces

Thevenot

López

Hadid

2018

IEEE J. Biomed. Health Inform.

136

View full text Add to dashboard Cite

Automatic medical diagnosis is an emerging center of interest in computer vision as it provides unobtrusive objective information on a patient's condition. The face, as a mirror of health status, can reveal symptomatic indications of specific diseases. Thus, the detection of facial abnormalities or atypical features is at upmost importance when it comes to medical diagnostics. This survey aims to give an overview of the recent developments in medical diagnostics from facial images based on computer vision methods. Various approaches have been considered to assess facial symptoms and to eventually provide further help to the practitioners. However, the developed tools are still seldom used in clinical practice, since their reliability is still a concern due to the lack of clinical validation of the methodologies and their inadequate applicability. Nonetheless, efforts are being made to provide robust solutions suitable for healthcare environments, by dealing with practical issues such as real-time assessment or patients positioning. This survey provides an updated collection of the most relevant and innovative solutions in facial images analysis. The findings show that with the help of computer vision methods, over 30 medical conditions can be preliminarily diagnosed from the automatic detection of some of their symptoms. Furthermore, future perspectives, such as the need for interdisciplinary collaboration and collecting publicly available databases, are highlighted.

show abstract

Automatic Face Classification of Cushing's Syndrome in Women - A Novel Screening Approach

Abstract: In this preliminary analysis we found a good classification accuracy of Cushing's syndrome by face classification software. Testing accuracy is comparable to that of currently employed screening tests.

Cited by 29 publications

References 4 publications

Diagnostic use of facial image analysis software in endocrine and genetic disorders: review, current results and future perspectives

Diagnostic use of facial image analysis software in endocrine and genetic disorders: review, current results and future perspectives

Cushing's syndrome: update on signs, symptoms and biochemical screening

A Survey on Computer Vision for Assistive Medical Diagnosis From Faces

Contact Info

Product

Resources

About