Automated quantification of Ki67/<scp>MART1</scp> stains may prevent false‐negative melanoma diagnoses

Wandler, Anne; Spaun, Eva; Steiniche, Torben; Nielsen, Patricia Switten

doi:10.1111/cup.12778

Cited by 9 publications

(8 citation statements)

References 22 publications

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“…The proliferation marker, Ki67, has been widely used for assisting with diagnosis of melanoma 17 . The present study analyzed whether Ki67 expression was related to OS using clinicopathological data and follow-up data of the 123 patients.…”

Section: Resultsmentioning

confidence: 99%

“…But there is limited information involving Ki67 expression in melanoma. The previous studies, mainly involving cutaneous melanoma, focused on the value of Ki67 expression in the differential diagnosis of benign and malignant tumors 17 . In cutaneous melanoma, the Ki67 expression index is demonstrated to correlate with tumor grade and patient survival 18 , 39 .…”

Section: Discussionmentioning

confidence: 99%

“…The level of Ki67 expression has been used as a prognostic determination index in a number of human cancers 9 - 12 , especially in breast carcinoma 13 - 15 and cervical cancer 16 . In melanoma, Ki67 is commonly used as an auxiliary index to distinguish melanomas from benign nevi 17 , but there is limited information about the relationship of the proliferation rate and prognosis in melanoma. Recently, some studies aimed to clarify whether Ki67 could act as a prognostic index in some subtypes of melanoma 18 - 21 .…”

Section: Introductionmentioning

confidence: 99%

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Ki67 Proliferation Index as a Histopathological Predictive and Prognostic Parameter of Oral Mucosal Melanoma in Patients without Distant Metastases

Ma¹,

Wu²,

Zhang³

et al. 2017

J. Cancer

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Background: To investigate the relationship between clinical and histopathological characteristics and overall survival of patients with oral mucosal melanoma (OMM) without distal metastasis in order to provide predictive prognostic information of OMM.Methods: Ki67 expression was assessed by immunohistochemistry in 123 patients with OMM without distant metastases. The associations between Ki67 expression and clinical features and overall survival (OS) of patients were statistically analyzed. The Ki67 levels of the primary and recurrent lesions from 14 OMM patients were compared.Results: Univariate analysis showed that tumor type and cervical lymph node (CLN) status, as well as Ki67 expression, were all correlated with survival. Cox proportional hazards regression analysis identified Ki67 expression and CLN status as independent prognostic factors in OMM patients. Further, we found that Ki67 expression was associated with clinical tumor type of OMM. Moreover, with a cut-off point of 20%, patients with lower Ki67 scores showed a survival advantage over those with higher Ki67 scores.Conclusions: Ki67 expression may be a useful pathological predictor of survival of OMM patients without distant metastases.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Ki67 Proliferation Index as a Histopathological Predictive and Prognostic Parameter of Oral Mucosal Melanoma in Patients without Distant Metastases

Ma¹,

Wu²,

Zhang³

et al. 2017

J. Cancer

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“…Further, such manual counting was probably also prone to some error, as observers tire or inadequately discriminate. Increasingly, machine learning approaches are improving and becoming more accurate than manual methods in a range of disciplines (e.g., medicine, identification of melanomas [55] and astronomy, identification of chorus elements [56]). There is no reason why our approach, and more broadly, approaches of counting animals using drone imagery and machine learning, will not become increasingly more accurate and more efficient with growing amounts of data, with wide applications.…”

Section: Discussionmentioning

confidence: 99%

Counting Mixed Breeding Aggregations of Animal Species Using Drones: Lessons from Waterbirds on Semi-Automation

et al. 2020

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Using drones to count wildlife saves time and resources and allows access to difficult or dangerous areas. We collected drone imagery of breeding waterbirds at colonies in the Okavango Delta (Botswana) and Lowbidgee floodplain (Australia). We developed a semi-automated counting method, using machine learning, and compared effectiveness of freeware and payware in identifying and counting waterbird species (targets) in the Okavango Delta. We tested transferability to the Australian breeding colony. Our detection accuracy (targets), between the training and test data, was 91% for the Okavango Delta colony and 98% for the Lowbidgee floodplain colony. These estimates were within 1-5%, whether using freeware or payware for the different colonies. Our semi-automated method was 26% quicker, including development, and 500% quicker without development, than manual counting. Drone data of waterbird colonies can be collected quickly, allowing later counting with minimal disturbance. Our semi-automated methods efficiently provided accurate estimates of nesting species of waterbirds, even with complex backgrounds. This could be used to track breeding waterbird populations around the world, indicators of river and wetland health, with general applicability for monitoring other taxa.Remote Sens. 2020, 12, 1185 2 of 17 semi-automated methods. The former can be extremely labour-intensive and consequently expensive, particularly for large aggregations of wildlife [26], further complicated when more than one species is counted. Semi-automated methods, including the counting of animals from photographs (e.g., camera traps) and drone imagery, are increasingly being developed around the world [27]. These methods reduce the time required to count and process drone images [28], accelerating the data entry stage and encouraging the use of drones as scientific tools for management. Such benefits allow for real-time monitoring and management decisions and could, for example, assist in the targeted delivery of environmental flows for waterbird breeding events [29].Generally, semi-automated counting methods are most effective for species where there are strong contrasts against the backgrounds, particularly when background colours and shapes are consistent [28]. They can distinguish large single species aggregations on relatively simple backgrounds [30][31][32], up to sixteen avian species (numbering in the hundreds) on simple single colour backgrounds, such as oceans [33,34], or single species aggregations of hundreds of thousands on complex backgrounds [3].Development of flexible, repeatable and efficient methods, using open source software, is important in ensuring methods are applicable across a range of datasets [35,36]. Further, there are potential cost implications of processing data, given that some processing software can be expensive (i.e., compulsory licence fees, called 'payware' in this paper) and so are often only accessible to large organisations in high-income countries [37]. Open source software, or software with optional lic...

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“…A previous study sought to investigate whether the Ki-67 index is able to prevent false-negative diagnoses in melanomas. The authors proposed that a high cellular proliferation rate may be suggestive of melanoma and that the Ki-67 proliferation index might help prevent misdiagnoses of melanomas initially classified as benign or dysplastic nevi [25]. By comparing the prognostic impact of phosphohistone H3/MART1, Ki67/MART1, and hematoxylin and eosin staining, another study found alternatives to conventional detection of mitosis based on hematoxylin and eosin staining in the first two stages of primary cutaneous melanoma [26].…”

Section: Ki-67mentioning

confidence: 99%

Evaluation of Kindlin-1 and Ki-67 immunohistochemical expression in primary cutaneous malignant melanoma: a clinical series

Schuch

Azevedo

Furian³

et al. 2019

Appl Cancer Res

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Background: The capacity for prognostic prediction of cutaneous melanoma, one of the most aggressive cancers, is still difficult due to the tumor heterogeneity and lack of reliable tumor markers. The objective of this study is to correlate, through immunohistochemistry, a Ki-67 and Kindlin-1 staining in malignant melanomas with the prognosis of the disease. Methods: A historical cohort study. Immunohistochemistry, using mouse anti-human Kindlin-1 and Ki-67 monoclonal antibodies, was performed using tissue blocks from primary cutaneous melanoma patients treated between 2006 and 2014 at our institution. Information regarding pathological data and outcomes were retrieved from medical records. Statistical analyses were conducted in SPSS version 18.0.Results: Thirty patients were included. The median age was from 50.93 ± 15.31 years old. The expression of Ki-67 was detected in all patients with primary cutaneous melanoma, while Kindlin-1 was negative in two. Kindlin expression was not significantly correlated with Ki-67 expression by Spearman's rank correlation analysis (P = 0.46), as well as the expression of both markers and the clinical stage (P = 0.34 and 0.18, respectively). Breslow, Clark and mitotic rate were significantly correlated with AJCC stage (P = 0.001). Conclusion: Other studies investigating clinical evolution are needed to further test the potential of these markers as possible prognostic markers.

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Automated quantification of Ki67/MART1 stains may prevent false‐negative melanoma diagnoses

Abstract: PHH3 added limited information, but supplemental automated Ki67 assessment could possibly have prevented the misdiagnosis of most melanomas had the algorithm been available at the time of diagnosis.

Cited by 9 publications

References 22 publications

Ki67 Proliferation Index as a Histopathological Predictive and Prognostic Parameter of Oral Mucosal Melanoma in Patients without Distant Metastases

Ki67 Proliferation Index as a Histopathological Predictive and Prognostic Parameter of Oral Mucosal Melanoma in Patients without Distant Metastases

Counting Mixed Breeding Aggregations of Animal Species Using Drones: Lessons from Waterbirds on Semi-Automation

Evaluation of Kindlin-1 and Ki-67 immunohistochemical expression in primary cutaneous malignant melanoma: a clinical series

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