ArticleBMC cancer2017
Whole-lesion apparent diffusion coefficient histogram analysis: significance in T and N staging of gastric cancers.
Article in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed, 36 citations in OpenAlex.
- Radiomics in Gastric Cancer: Advancing Precision Medicine.Journal of gastric cancer · 2026Review
- Histogram analysis of apparent diffusion coefficient for preoperative prediction of mid-term efficacy of high-intensity focused ultrasound in the treatment of uterine fibroids.Abdominal radiology (New York) · 2026Article
- Comparison of apparent diffusion coefficient values in sentinel lymph nodes versus primary tumors for gastric cancer N staging.Frontiers in oncology · 2025Article
- Predicting tumor invasion depth in gastric cancer: developing and validating multivariate models incorporating preoperative IVIM-DWI parameters and MRI morphological characteristics.European journal of medical research · 2024Article
- The Role of Staging Laparoscopy for Gastric Cancer Patients: Current Evidence and Future Perspectives.Cancers · 2023Review
- Hemostatic Radiotherapy for Gastric Cancer: MRI as an Alternative to Endoscopy for Post-Treatment Evaluation.Journal of gastrointestinal cancer · 2023Article
- The value of whole-lesion histogram analysis based on field‑of‑view optimized and constrained undistorted single shot (FOCUS) DWI for predicting axillary lymph node status in early-stage breast cancer.BMC medical imaging · 2022Article
- Muscle-invasive bladder cancer: pretreatment prediction of response to neoadjuvant chemotherapy with diffusion-weighted MR imaging.Abdominal radiology (New York) · 2022Article
- Hemostasis radiotherapy for gastric cancer: Usefulness of the gastric cancer to spleen apparent diffusion coefficient ratio.Radiology case reports · 2022Article
- Application of first-order feature analysis of DWI-ADC in rare malignant mesenchymal tumours of the maxillofacial region.BMC oral health · 2021Article
- Utility of noncontrast MRI in the detection and risk grading of gastrointestinal stromal tumor: a comparison with contrast-enhanced CT.Quantitative imaging in medicine and surgery · 2021Article
- Artificial Intelligence in the Imaging of Gastric Cancer: Current Applications and Future Direction.Frontiers in oncology · 2021Review
- Consensus statement of the Hellenic and Cypriot Gastric Cancer Study Group on the diagnosis, staging and management of gastric cancer.Updates in surgery · 2020Article
- CT radiomics nomogram for the preoperative prediction of lymph node metastasis in gastric cancer.European radiology · 2020Article
- Radiomics approaches in gastric cancer: a frontier in clinical decision making.Chinese medical journal · 2019Article
- Apparent Diffusion Coefficient Histogram Analysis for Assessing Tumor Staging and Detection of Lymph Node Metastasis in Epithelial Ovarian Cancer: Correlation with p53 and Ki-67 Expression.Molecular imaging and biology · 2019Article
- Histogram Analysis Parameters Derived from Conventional T1- and T2-Weighted Images Can Predict Different Histopathological Features Including Expression of Ki67, EGFR, VEGF, HIF-1α, and p53 and Cell Count in Head and Neck Squamous Cell Carcinoma.Molecular imaging and biology · 2019Article
- Radiomics in esophageal and gastric cancer.Abdominal radiology (New York) · 2019Review
- Usefulness of diffusion-weighted magnetic resonance imaging for evaluating the effect of hemostatic radiotherapy for unresectable gastric cancer.Clinical journal of gastroenterology · 2019Article
- Gastric cancer and imaging biomarkers: Part 1 - a critical review of DW-MRI and CE-MDCT findings.European radiology · 2019Review
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWhole-lesion apparent diffusion coefficient (ADC) histogram analysis has been introduced and proved effective in assessment of multiple tumors. However, the application of whole-volume ADC histogram analysis in gastrointestinal tumors has just started and never been reported in T and N staging of gastric cancers.
methodsEighty patients with pathologically confirmed gastric carcinomas underwent diffusion weighted (DW) magnetic resonance imaging before surgery prospectively. Whole-lesion ADC histogram analysis was performed by two radiologists independently. The differences of ADC histogram parameters among different T and N stages were compared with independent-samples Kruskal-Wallis test. Receiver operating characteristic (ROC) analysis was performed to evaluate the performance of ADC histogram parameters in differentiating particular T or N stages of gastric cancers.
resultsThere were significant differences of all the ADC histogram parameters for gastric cancers at different T (except ADC
conclusionWhole-volume ADC histogram parameters held great potential in differentiating different T and N stages of gastric cancers preoperatively.
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.