Cancers, Vol. 12, Pages 2654: Analysis of Bone Scans in Various Tumor Entities Using a Deep-Learning-Based Artificial Neural Network Algorithm —Evaluation of Diagnostic Performance

Cancers, Vol. 12, Pages 2654: Analysis of Bone Scans in Various Tumor Entities Using a Deep-Learning-Based Artificial Neural Network Algorithm—Evaluation of Diagnostic Performance Cancers doi: 10.3390/cancers12092654 Authors: Jan Wuestemann Sebastian Hupfeld Dennis Kupitz Philipp Genseke Simone Schenke Maciej Pech Michael C. Kreissl Oliver S. Grosser The bone scan index (BSI), initially introduced for metastatic prostate cancer, quantifies the osseous tumor load from planar bone scans. Following the basic idea of radiomics, this method incorporates specific deep-learning techniques (artificial neural network) in its development to provide automatic calculation, feature extraction, and diagnostic support. As its performance in tumor entities, not including prostate cancer, remains unclear, our aim was to obtain more data about this aspect. The results of BSI evaluation of bone scans from 951 consecutive patients with different tumors were retrospectively compared to clinical reports (bone metastases, yes/no). Statistical analysis included entity-specific receiver operating characteristics to determine optimized BSI cut-off values. In addition to prostate cancer (cut-off = 0.27%, sensitivity (SN) = 87%, specificity (SP) = 99%), the algorithm used provided comparable results for breast cancer (cut-off 0.18%, SN = 83%, SP = 87%) and colorectal cancer (cut-off = 0.10%, SN = 100%, SP = 90%). Worse performance was observed for lung cancer (cut-off = 0.06%...
Source: Cancers - Category: Cancer & Oncology Authors: Tags: Article Source Type: research

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Publication date: 15 February 2021Source: Journal of Hazardous Materials, Volume 404, Part BAuthor(s): Yanhua Liu, Yang Li, Shanshan Dong, Lu Han, Ruixin Guo, Yourong Fu, Shenghu Zhang, Jianqiu Chen
Source: Journal of Hazardous Materials - Category: Environmental Health Source Type: research
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Source: Expert Review of Hematology - Category: Hematology Tags: Expert Rev Hematol Source Type: research
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Source: Frontiers in Genetics - Category: Genetics & Stem Cells Source Type: research
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Source: Frontiers in Immunology - Category: Allergy & Immunology Source Type: research
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Source: Frontiers in Immunology - Category: Allergy & Immunology Source Type: research
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Source: Frontiers in Oncology - Category: Cancer & Oncology Source Type: research
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Source: Frontiers in Immunology - Category: Allergy & Immunology Source Type: research
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Source: Frontiers in Oncology - Category: Cancer & Oncology Source Type: research
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Source: Frontiers in Immunology - Category: Allergy & Immunology Source Type: research
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Source: The AAPS Journal - Category: Drugs & Pharmacology Source Type: research
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