Breast Cancer Molecular Subtype Prediction by Mammographic Radiomic Features

Publication date: Available online 8 March 2018
Source:Academic Radiology
Author(s): Wenjuan Ma, Yumei Zhao, Yu Ji, Xinpeng Guo, Xiqi Jian, Peifang Liu, Shandong Wu
Rationale and ObjectivesThis study aimed to investigate whether quantitative radiomic features extracted from digital mammogram images are associated with molecular subtypes of breast cancer.Materials and MethodsIn this institutional review board–approved retrospective study, we collected 331 Chinese women who were diagnosed with invasive breast cancer in 2015. This cohort included 29 triple-negative, 45 human epidermal growth factor receptor 2 (HER2)-enriched, 36 luminal A, and 221 luminal B lesions. A set of 39 quantitative radiomic features, including morphologic, grayscale statistic, and texture features, were extracted from the segmented lesion area. Three binary classifications of the subtypes were performed: triple-negative vs non–triple-negative, HER2-enriched vs non–HER2-enriched, and luminal (A + B) vs nonluminal. The Naive Bayes machine learning scheme was employed for the classification, and the least absolute shrink age and selection operator method was used to select the most predictive features for the classifiers. Classification performance was evaluated by the area under receiver operating characteristic curve and accuracy.ResultsThe model that used the combination of both the craniocaudal and the mediolateral oblique view images achieved the overall best performance than using either of the two views alone, yielding an area under receiver operating characteristic curve (or accuracy) of 0.865 (0.796) for triple-negative vs non–triple-negative, 0.784 (0.748) for HER2-enriched vs non–HER2-enriched, and 0.752 (0.788) for luminal vs nonluminal subtypes. Twelve most predictive features were selected by the least absolute shrink age and selection operator method and four of them (ie, roundness, concavity, gray mean, and correlation) showed a statistical significance (P < .05) in the subtype classification.ConclusionsOur study showed that quantitative radiomic imaging features of breast tumor extracted from digital mammograms are associated with breast cancer subtypes. Future larger studies are needed to further evaluate the findings.



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Abstract presented at the Joint meeting of the 21st meeting of the Japanese Research Society of clinical anatomy and the 6th meeting of the Society for aging image.

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Abstract presented at the Joint meeting of the 21st meeting of the Japanese Research Society of clinical anatomy and the 6th meeting of the Society for aging image.

Surg Radiol Anat. 2018 Mar 07;:

Authors: Okuda I, Akita K

PMID: 29516150 [PubMed - as supplied by publisher]

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Assessment of Low-Grade Meniscal and Cartilage Damage of the Knee at 7 T: A Comparison to 3 T Imaging With Arthroscopic Correlation

Objectives The aim of this study was to compare the assessment of low-grade meniscal tears and cartilage damage in ultrahigh-field magnetic resonance imaging (MRI) at 7 T to routine clinical MRI at 3 T. Materials and Methods This study was approved by the local ethics committee, and written informed consent was obtained from each patient. Forty-one patients with suspected meniscal damage or mild osteoarthritis (Kellgren-Lawrence score, 0–2) received 7 T as well as routine clinical 3 T consecutively. The imaging protocol at both field strengths consisted of PD-weighted imaging with more than doubled resolution at 7 T. Images were read blinded regarding field strength and patient characteristics by 3 readers with different experience in musculoskeletal MRI (3 years, 6 years, and 10 years) according to a modified whole-organ MRI score of the knee in osteoarthritis and the Score of the International Cartilage Repair Society. Arthroscopic reports as a criterion standard were available for 12 patients. A multifactorial mixed model analysis was performed. Results The mean cumulated diagnostic score at 7 T was significantly closer to the criterion standard compared with 3 T in patients where criterion standard was available (P

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Low-Dose Radioactive Iodine Ablation Is Sufficient in Patients With Small Papillary Thyroid Cancer Having Minor Extrathyroidal Extension and Central Lymph Node Metastasis (T3 N1a): Reply.

Low-Dose Radioactive Iodine Ablation Is Sufficient in Patients With Small Papillary Thyroid Cancer Having Minor Extrathyroidal Extension and Central Lymph Node Metastasis (T3 N1a): Reply.

Clin Nucl Med. 2018 Mar 07;:

Authors: Seo M, Kim YS, Lee JC, Han MW, Kim ES, Kim KB, Park SH

PMID: 29517547 [PubMed - as supplied by publisher]

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Photoaffinity Labeling of Plant Receptor Kinases.

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Photoaffinity Labeling of Plant Receptor Kinases.

Methods Mol Biol. 2017;1621:59-68

Authors: Shinohara H, Matsubayashi Y

Abstract
Defining the ligand-binding activity of receptors is important because the binding of ligands is the initial reaction in secreted ligand-dependent cell-to-cell communication. Photoaffinity labeling is one of the most efficient biochemical techniques for detecting direct ligand-receptor interactions. Here, we describe photoaffinity labeling to visualize the direct interaction between peptide ligands and their receptors by using photoactivatable and radioactive peptide ligand derivatives.

PMID: 28567643 [PubMed - indexed for MEDLINE]

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Editorial Board

Publication date: July 2018
Source:Journal of Environmental Radioactivity, Volume 187





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Deposition of artificial radionuclides in sediments of Loch Etive, Scotland

Publication date: July 2018
Source:Journal of Environmental Radioactivity, Volume 187
Author(s): Hamza Al-Qasmi, Gareth T.W. Law, L. Keith Fifield, John A. Howe, Tim Brand, Gregory L. Cowie, Kathleen A. Law, Francis R. Livens
The nuclear fuel reprocessing plants on the Sellafield site (UK) have released low-level effluents into the Irish Sea under authorisation since 1952. This has led to the labelling of nearby offshore sediments with a range of artificial radionuclides. In turn, these sediments act as a long-term secondary source of both soluble and particle-associated radionuclides to coastal areas. These radionuclides are of interest both in assessing possible environmental impacts and as tracers for marine processes. Here we present results from a study of the geochemistry of natural (^{234, 238}U) and artificial (¹³⁷Cs, ²⁴¹Am, ²³⁸Pu, ^239+240Pu, and ²³⁶U) radionuclides and their accumulation in sediments from Loch Etive, Scotland. The data are interpreted in the context of the historical radioactive discharges to the Irish Sea and biogeochemical processes in marine sediments. Loch Etive is divided into two basins; a lower, seaward basin where the sedimentation rate (∼0.6 cm/yr) is about twice that of the more isolated upper basin (∼0.3 cm/yr). These accumulation rates are consistent with the broad distribution of ¹³⁷Cs in the sediment profiles which can be related to the maximum Sellafield discharges of ¹³⁷Cs in the mid-1970s and suggest that ¹³⁷Cs was mainly transported in solution to Loch Etive during that period. Enrichments of Mn, Fe, and Mo in sediment and porewater from both Loch Etive basins result from contemporary biogeochemical redox processes. Enrichments of ²³⁸U and ²³⁴U in the lower basin may be a result of the cycling of natural U. By contrast, the Sellafield-derived artificial isotope ²³⁶U does not seem to be affected by the redox-driven reactions in the lower basin. The ²³⁸Pu/^239,240Pu ratios suggest contributions from both historical Sellafield discharges and global fallout Pu. The uniform sediment distributions of Pu and Am, which do not reflect Sellafield historical discharges, suggest the existence of a homogenous secondary source. This could be the offshore 'mud patch' in the vicinity of Sellafield from which the supply of radionuclides reflects time-integrated Sellafield discharges. This source could also account for the continuing supply of Cs to Loch Etive, even after substantial reductions in discharge from the Sellafield site.



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