Development and evaluation of an automatic tumor segmentation tool: A comparison between automatic, semi-automatic and manual segmentation of mandibular odontogenic cysts and tumors

Rana, Majeed; Modrow, Daniel; Keuchel, Jens; Chui, Christopher Hoe-Kong; Rana, Madiha; Wagner, Maximilian; Gellrich, Nils‐Claudius

doi:10.1016/j.jcms.2014.12.005

Cited by 45 publications

(35 citation statements)

References 7 publications

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“…New software (Smartbrush ® ) developed by Brainlab Munich shows a reasonable agreement between semi‐automated and manually derived tumour volumes in maxillary sinus tumours …”

Section: Introductionmentioning

confidence: 83%

Semi‐automatic tumour volume measurements on MR‐Imaging using smartbrush^® in oropharyngeal carcinomas; our experience in 5 patients

Lodder

Dorgelo

Lancaster

et al. 2018

Clinical Otolaryngology

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“…New software (Smartbrush ® ) developed by Brainlab Munich shows a reasonable agreement between semi‐automated and manually derived tumour volumes in maxillary sinus tumours …”

Section: Introductionmentioning

confidence: 83%

Semi‐automatic tumour volume measurements on MR‐Imaging using smartbrush^® in oropharyngeal carcinomas; our experience in 5 patients

Lodder

Dorgelo

Lancaster

et al. 2018

Clinical Otolaryngology

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“…Odland et al explored similar technology in volumetric glioma assessment using semi‐automatic segmentation and showed that the technology was accurate, and resulted in less variability in measurements than manual segmentation by experts; however, they acknowledge that the accuracy of this technology is dependent on the expert responsible for training the algorithm. Rana et al described a method of automatic segmentation for mandibular odontogenic cysts and tumours, and found that their technique for auto‐segmentation was as accurate as semi‐automatic and manual segmentation while being much faster to complete. In addition, they stated that the auto technique did not require user experience or expertise for production of accurate results.…”

Section: Discussionmentioning

confidence: 99%

“…Currently, manual estimation of tumour volume using segmentation is somewhat cumbersome and may result in variability due to technique and individuals. To date, manual measurement of areas of interest in radiological images has been shown to be feasible in previous studies across several specialty areas .…”

Section: Introductionmentioning

confidence: 99%

Volumetric assessment of unaffected parenchyma and Wilms’ tumours: analysis of response to chemotherapy and surgery using a semi‐automated segmentation algorithm in children with renal neoplasms

et al. 2020

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ConclusionVolumetric analysis is feasible and allows objective assessment of tumour and parenchyma volume in response to chemotherapy and surgery. Our data show changes after therapy that may be otherwise difficult to quantify. Use of such technology may improve surgical planning and quantification of response to treatment, as well as serving as a tool to predict renal reserve and long-term changes in renal function.Additional Supporting Information may be found in the online version of this article: Data S1. Detailed description of segmentation methodology.

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“…21 Several studies have been performed on CBCT in order to evaluate and optimize the segmentation step for the head and neck region, including condyle, 22 and teeth and jaws. 23,24 However, to our knowledge, no studies have yet been performed on CBCT and odontogenic cysts.…”

Section: Discussionmentioning

confidence: 99%

3D dento-maxillary osteolytic lesion and active contour segmentation pilot study in CBCT: semi-automaticvsmanual methods

Vallaeys¹,

Kacem²,

Legoux³

et al. 2015

Dentomaxillofacial Radiology

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Objectives: This study was designed to evaluate the reliability of a semi-automatic segmentation tool for dento-maxillary osteolytic image analysis compared with manually defined segmentation in CBCT scans. Methods: Five CBCT scans were selected from patients for whom periapical radiolucency images were available. All images were obtained using a ProMax® 3D Mid Planmeca (Planmeca Oy, Helsinki, Finland) and were acquired with 200-mm voxel size. Two clinicians performed the manual segmentations. Four operators applied three different semi-automatic procedures. The volumes of the lesions were measured. An analysis of dispersion was made for each procedure and each case. An ANOVA was used to evaluate the operator effect. Non-paired t-tests were used to compare semi-automatic procedures with the manual procedure. Statistical significance was set at a 5 0.01. Results: The coefficients of variation for the manual procedure were 2.5-3.5% on average. There was no statistical difference between the two operators. The results of manual procedures can be used as a reference. For the semi-automatic procedures, the dispersion around the mean can be elevated depending on the operator and case. ANOVA revealed significant differences between the operators for the three techniques according to cases. Conclusions: Region-based segmentation was only comparable with the manual procedure for delineating a circumscribed osteolytic dento-maxillary lesion. The semi-automatic segmentations tested are interesting but are limited to complex surface structures. A methodology that combines the strengths of both methods could be of interest and should be tested. The improvement in the image analysis that is possible through the segmentation procedure and CBCT image quality could be of value.

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Development and evaluation of an automatic tumor segmentation tool: A comparison between automatic, semi-automatic and manual segmentation of mandibular odontogenic cysts and tumors

Cited by 45 publications

References 7 publications

Semi‐automatic tumour volume measurements on MR‐Imaging using smartbrush^® in oropharyngeal carcinomas; our experience in 5 patients

Semi‐automatic tumour volume measurements on MR‐Imaging using smartbrush^® in oropharyngeal carcinomas; our experience in 5 patients

Volumetric assessment of unaffected parenchyma and Wilms’ tumours: analysis of response to chemotherapy and surgery using a semi‐automated segmentation algorithm in children with renal neoplasms

3D dento-maxillary osteolytic lesion and active contour segmentation pilot study in CBCT: semi-automaticvsmanual methods

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Development and evaluation of an automatic tumor segmentation tool: A comparison between automatic, semi-automatic and manual segmentation of mandibular odontogenic cysts and tumors

Cited by 45 publications

References 7 publications

Semi‐automatic tumour volume measurements on MR‐Imaging using smartbrush® in oropharyngeal carcinomas; our experience in 5 patients

Semi‐automatic tumour volume measurements on MR‐Imaging using smartbrush® in oropharyngeal carcinomas; our experience in 5 patients

Volumetric assessment of unaffected parenchyma and Wilms’ tumours: analysis of response to chemotherapy and surgery using a semi‐automated segmentation algorithm in children with renal neoplasms

3D dento-maxillary osteolytic lesion and active contour segmentation pilot study in CBCT: semi-automaticvsmanual methods

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Semi‐automatic tumour volume measurements on MR‐Imaging using smartbrush^® in oropharyngeal carcinomas; our experience in 5 patients

Semi‐automatic tumour volume measurements on MR‐Imaging using smartbrush^® in oropharyngeal carcinomas; our experience in 5 patients