Clinical evaluation of thermography in the diagnosis of malignant tumors in the oral and maxillo-facial region

Hayase, Yasuhiro; Wakasa, Toru; Uemura, Mikiko; Adachi, Ken; Ochi, Satoru; Kishi, Kanji

doi:10.1007/bf02347273

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…Many authors have reported that the use of thermovision techniques is a very useful tool in the examination of patients. Thermovision techniques have been used for various purposes in medicine, including clinical testing of drugs [12], assessment of vascular reactions in hands [13][14][15][16][17][18], diagnosis of Raynaud's syndrome [19,20], evaluation of observational changes in osteoarthritis [9,15], detection of different kinds of tumors [21,22], and assessment of the skin condition in diabetic feet [23,24].…”

Section: Introductionmentioning

confidence: 99%

Thermal imaging for detecting temperature changes within the rheumatoid foot

Gizińska

Rutkowski

Szymczak-Bartz³

et al. 2020

J Therm Anal Calorim

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The study reports the development of a thermal imaging method suitable for the screening and differentiation of joint inflammation in the rheumatoid foot of patients in comparison with the control group of healthy participants. The study included 81 patients, with rheumatoid arthritis (RA), and 39 healthy volunteers without any signs or symptoms of inflammation. The feet joints were examined by ultrasonography, and the surface temperature of the dorsal side of the foot was measured using a thermovision camera. Significant differences in mean temperatures between the study group and the control group were found. At the same time, there were no statistically significant differences between the mean temperatures in the left and right foot in any of the designated regions in the study and control group. The comparison of average temperatures of joints with or without inflammation, according to ultrasonography, did not show significance except for two joints. Despite the lack of statistical differences in the recorded temperatures, changes in the form of spikes, hot spots, and gradation of the temperatures during screening were observed. Screening analysis of the temperature distribution of the foot can aid in the diagnosis of RA and in the evaluation of the development of the disease. Additional studies must be conducted to confirm the results of this study.

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Section: Introductionmentioning

confidence: 99%

Thermal imaging for detecting temperature changes within the rheumatoid foot

Gizińska

Rutkowski

Szymczak-Bartz³

et al. 2020

J Therm Anal Calorim

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“…In addition, there are a lot of other reasons why thermal imaging is not applied in clinical routines, especially due to artefacts caused by facial hair, skin conditions, scars, "blushing" effect, asymmetrical distribution of adipose tissues, facial paralysis, veins near the superficial layer of the skin, etc. To date, IRT has been adopted extensively in the early detection of breast cancer [20][21][22][23], but for orofacial tumor detection, the available evidence is limited and weak [24,25]. It should also be underlined that according to the newest healthcare guidelines [26,27], current evidence does not support the routine use of thermography as a screening procedure in either field of clinical diagnosis.…”

Section: Discussionmentioning

confidence: 99%

Automatic Detection of Human Maxillofacial Tumors by Using Thermal Imaging: A Preliminary Study

Mačianskytė

Adaškevičius

2022

Sensors

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Traditional computed tomography (CT) delivers a relatively high dose of radiation to the patient and cannot be used as a method for screening of pathologies. Instead, infrared thermography (IRT) might help in the detection of pathologies, but interpreting thermal imaging (TI) is difficult even for the expert. The main objective of this work is to present a new, automated IRT method capable to discern the absence or presence of tumor in the orofacial/maxillofacial region of patients. We evaluated the use of a special feature vector extracted from face and mouth cavity thermograms in classifying TIs against the absence/presence of tumor (n = 23 patients per group). Eight statistical features extracted from TI were used in a k-nearest neighbor (kNN) classifier. Classification accuracy of kNN was evaluated by CT, and by creating a vector with the true class labels for TIs. The presented algorithm, constructed from a training data set, gives good results of classification accuracy of kNN: sensitivity of 77.9%, specificity of 94.9%, and accuracy of 94.1%. The new algorithm exhibited almost the same accuracy in detecting the absence/presence of tumor as CT, and is a proof-of-principle that IRT could be useful as an additional reliable screening tool for detecting orofacial/maxillofacial tumors.

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“…In the IRT literature, 17,18 it has been proposed that in malignant conditions there were no temperature changes seen until the tumours were large enough to cause necrosis, and this resulted in associated cold spots. However, at present, no detailed analysis has been presented about the rise of temperature depending on tumour stage and/or size.…”

Section: Use Of Irt Vs Ct For Maxillofacial Pathology Detectionmentioning

confidence: 99%

Comparison of segmented thermal images versus a CT scanning for detection of maxillofacial pathology

Mačianskytė

Monastyreckienė

Basevičius

et al. 2019

Dentomaxillofacial Radiology

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Objectives: To evaluate thermal images (TIs) by using an algorithm for optimized region of interest (ROI) and image segmentation, in order to find zones of the facial skin surface with asymmetrical temperature, and to test consistency with CT findings, to detect maxillofacial pathologies (i.e. tumours). Methods: The following steps for the TI evaluation were applied: data acquisition/pre-processing of frontal face and mouth projection, detection of face and mouth external contour, finding face and mouth symmetry axis, calculation of differences in average and maximal temperatures between left and right face and mouth sides, image segmentation of the selected ROI, and evaluation of diagnostic accuracy by comparing the TI results with CT findings. Results: In healthy subjects, the average temperature difference between left/right sides of facial and mouth ROI was negligible (0.02 ± 0.21 °C and 0.05 ± 0.19 °C, respectively; n = 23). In the presence of tumour, the average temperature difference was higher in corresponding TIs (0.47 ± 0.1 °C and 0.66 ± 0.1 °C, for facial and mouth ROI, respectively; n = 19, p < 0.05). For large tumours, thermal asymmetry in the corresponding TI is easily detected, and image segmentation is optional for finding the affected zone. For small or deeply localized tumours, segmentation of the mouth cavity of the ROI was required for the detection of hot and cold spots. conclusions: Asymmetrical temperature zones and their location as detected from thermal images coincide well with the presence and localization of maxillofacial pathologies (i.e. tumours) established by CT. However, accurate information could often be obtained only after application of image segmentation algorithm to the selected ROI.

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Clinical evaluation of thermography in the diagnosis of malignant tumors in the oral and maxillo-facial region

Cited by 6 publications

References 6 publications

Thermal imaging for detecting temperature changes within the rheumatoid foot

Thermal imaging for detecting temperature changes within the rheumatoid foot

Automatic Detection of Human Maxillofacial Tumors by Using Thermal Imaging: A Preliminary Study

Comparison of segmented thermal images versus a CT scanning for detection of maxillofacial pathology

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