ArticlePloS one2013
Computer-based image studies on tumor nests mathematical features of breast cancer and their clinical prognostic value.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- NLTD 2.0: A Nonlinear Framework for Robust and Customizable Color Deconvolution in Histopathology.bioRxiv : the preprint server for biology · 2025Article
- Article
- The effect of the area proportion of the metastatic lesion within the central metastatic lymph node on response to therapy in papillary thyroid carcinoma.Oncology letters · 2021Article
- Prognostic Significance of the Tumor-Stromal Ratio in Invasive Breast Cancer and a Proposal of a New Ts-TNM Staging System.Journal of oncology · 2020Article
- Article
- The significance of tumour microarchitectural features in breast cancer prognosis: a digital image analysis.Breast cancer research : BCR · 2018Article
- Licochalcone A inhibits PI3K/Akt/mTOR signaling pathway activation and promotes autophagy in breast cancer cells.Oncology letters · 2018Article
- Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images.EBioMedicine · 2018Article
- Milky spots: omental functional units and hotbeds for peritoneal cancer metastasis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Review
- A robust nonlinear tissue-component discrimination method for computational pathology.Laboratory investigation; a journal of technical methods and pathology · 2016Article
- Application of multispectral imaging in quantitative immunohistochemistry study of breast cancer: a comparative study.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Article
- Quantum dots-based double imaging combined with organic dye imaging to establish an automatic computerized method for cancer Ki67 measurement.Scientific reports · 2016Article
- Quantum dots-based tissue and in vivo imaging in breast cancer researches: current status and future perspectives.Breast cancer research and treatment · 2015Review
- Identification of cancerous gastric cells based on common features extracted from hyperspectral microscopic images.Biomedical optics express · 2015Article
- Morphological study and comprehensive cellular constituents of milky spots in the human omentum.International journal of clinical and experimental pathology · 2015Article
- Quantum dots-based quantitative and in situ multiple imaging on ki67 and cytokeratin to improve ki67 assessment in breast cancer.PloS one · 2015Article
- Big data in medicine is driving big changes.Yearbook of medical informatics · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe expending and invasive features of tumor nests could reflect the malignant biological behaviors of breast invasive ductal carcinoma. Useful information on cancer invasiveness hidden within tumor nests could be extracted and analyzed by computer image processing and big data analysis.
methodsTissue microarrays from invasive ductal carcinoma (n = 202) were first stained with cytokeratin by immunohistochemical method to clearly demarcate the tumor nests. Then an expert-aided computer analysis system was developed to study the mathematical and geometrical features of the tumor nests. Computer recognition system and imaging analysis software extracted tumor nests information, and mathematical features of tumor nests were calculated. The relationship between tumor nests mathematical parameters and patients' 5-year disease free survival was studied.
resultsThere were 8 mathematical parameters extracted by expert-aided computer analysis system. Three mathematical parameters (number, circularity and total perimeter) with area under curve >0.5 and 4 mathematical parameters (average area, average perimeter, total area/total perimeter, average (area/perimeter)) with area under curve <0.5 in ROC analysis were combined into integrated parameter 1 and integrated parameter 2, respectively. Multivariate analysis showed that integrated parameter 1 (P = 0.040) was independent prognostic factor of patients' 5-year disease free survival. The hazard risk ratio of integrated parameter 1 was 1.454 (HR 95% CI [1.017-2.078]), higher than that of N stage (HR 1.396, 95% CI [1.125-1.733]) and hormone receptor status (HR 0.575, 95% CI [0.353-0.936]), but lower than that of histological grading (HR 3.370, 95% CI [1.125-5.364]) and T stage (HR 1.610, 95% CI [1.026 -2.527]).
conclusionsThis study indicated integrated parameter 1 of mathematical features (number, circularity and total perimeter) of tumor nests could be a useful parameter to predict the prognosis of early stage breast invasive ductal carcinoma.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.