Veta, Mitko Pluim, Josien P W van Diest, Paul J Viergever, Max A © 2016 John Wiley & Sons Ltd.īreast cancer histopathology image analysis: a review. Our results contribute to improved understanding of histopathological features in breast cancer lesions treated with minimally invasive ablative techniques. CK-8 was more reliable for cell viability assessment than H&E when used directly after ablation, while H&E was more reliable in ablated tissue left in situ for a few days. Histopathological differences between MR-HIFU-ablated tissue and RF-ablated tissue were demonstrated. Lesion borders were sharp after MR-HIFU and indistinct after RFA. Histopathology after in-vivo RFA resembled ex-vivo RFA, with hyper-eosinophilic stroma and elongated nuclei. Surprisingly, some ablated lesions were CK-8-positive. In-vivo MR-HIFU resulted in necrotic-like changes. H&E tended to underestimate the size of thermal damage. Ex-vivo ablation resulted in clear morphological changes after RFA versus subtle differences after MR-HIFU. Morphology and cell viability were assessed. Tissue was fixed in formalin and processed to haematoxylin and eosin (H&E) and cytokeratin-8 (CK-8)-stained slides. In-vivo MR-HIFU ablation was performed 3-6 days before excision RFA was performed in the operation room. Tumours in six mastectomy specimens were partially ablated with RFA or MR-HIFU. MR-HIFU ablation and RFA were performed in- and ex-vivo. This study aimed to compare histopathological features of breast cancer after MR-HIFU ablation and RFA. The histopathological appearance of ablated tissue has not been studied in great detail. Magnetic resonance-guided high- intensity focused ultrasound (MR-HIFU) ablation and radiofrequency ablation (RFA) are being researched as possible substitutes for surgery in breast cancer patients. Knuttel, Floortje M Waaijer, Laurien Merckel, Laura G van den Bosch, Maurice A A J Witkamp, Arjen J Deckers, Roel van Diest, Paul J Histopathology of breast cancer after magnetic resonance-guided high- intensity focused ultrasound and radiofrequency ablation. This paper also briefly describes the development and application of novel image analysis technology for a few specific histopathology related problems being pursued in the United States and Europe. In this paper, we review the recent state of the art CAD technology for digitized histopathology.
Analogous to the role of computer-assisted diagnosis (CAD) algorithms in medical imaging to complement the opinion of a radiologist, CAD algorithms have begun to be developed for disease detection, diagnosis, and prognosis prediction to complement to the opinion of the pathologist. Consequently, digitized tissue histopathology has now become amenable to the application of computerized image analysis and machine learning techniques. With the recent advent of whole slide digital scanners, tissue histopathology slides can now be digitized and stored in digital image form. Over the past decade, dramatic increases in computational power and improvement in image analysis algorithms have allowed the development of powerful computer-assisted analytical approaches to radiological data. Boucheron, Laura Can, Ali Madabhushi, Anant Rajpoot, Nasir Yener, Bulent Histopathological Image Analysis: A Review