ArticleFrontiers in oncology2020
Application of Texture Analysis Based on Sagittal Fat-Suppression and Oblique Axial T2-Weighted Magnetic Resonance Imaging to Identify Lymph Node Invasion Status of Rectal Cancer.
Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 47 citations in OpenAlex.
- Utilizing radiomics for differential diagnosis of inverted papilloma and chronic rhinosinusitis with polyps based on unenhanced CT scans.Scientific reports · 2024Article
- T2WI-based texture analysis predicts preoperative lymph node metastasis of rectal cancer.Abdominal radiology (New York) · 2024Article
- Assessment of chemotherapy resistance changes in human colorectal cancer xenografts in rats based on MRI histogram features.Frontiers in oncology · 2024Article
- Radiomics in rectal cancer: current status of use and advances in research.Frontiers in oncology · 2024Review
- The Role of Radiomics in Rectal Cancer.Journal of gastrointestinal cancer · 2023Review
- Lymph Node Staging by CT Texture Analysis in Patients with Sigmoid Cancer.Journal of clinical practice and research · 2023Article
- Development and Validation of a Radiomics Model Based on 3-Dimensional Endoanal Rectal Ultrasound of Rectal Cancer for Predicting Lymph Node Metastasis.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2023Article
- Comparison of preoperative CT- and MRI-based multiparametric radiomics in the prediction of lymph node metastasis in rectal cancer.Frontiers in oncology · 2023Article
- Radiomics Based on Nomogram Predict Pelvic Lymphnode Metastasis in Early-Stage Cervical Cancer.Diagnostics (Basel, Switzerland) · 2022Article
- Computed tomography texture analysis for the prediction of lateral pelvic lymph node metastasis of rectal cancer.World journal of surgical oncology · 2022Article
- Prediction of the therapeutic efficacy of epirubicin combined with ifosfamide in patients with lung metastases from soft tissue sarcoma based on contrast-enhanced CT radiomics features.BMC medical imaging · 2022Article
- Role of MRI‑based radiomics in locally advanced rectal cancer (Review).Oncology reports · 2022Review
- Prediction Model of Residual Neural Network for Pathological Confirmed Lymph Node Metastasis of Ovarian Cancer.BioMed research international · 2022Article
- Radiomics in Oncology, Part 1: Technical Principles and Gastrointestinal Application in CT and MRI.Cancers · 2021Review
- An MRI-based multi-objective radiomics model predicts lymph node status in patients with rectal cancer.Abdominal radiology (New York) · 2021Article
- Radiomics and Magnetic Resonance Imaging of Rectal Cancer: From Engineering to Clinical Practice.Diagnostics (Basel, Switzerland) · 2021Review
- Preoperative Prediction of Lymphovascular Space Invasion in Cervical Cancer With Radiomics -Based Nomogram.Frontiers in oncology · 2021Article
- Effect of grey-level discretization on texture feature on different weighted MRI images of diverse disease groups.PloS one · 2021Article
- Integrative Predictive Models of Computed Tomography Texture Parameters and Hematological Parameters for Lymph Node Metastasis in Lung Adenocarcinomas.Journal of computer assisted tomographyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.