Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 20 of 721

1.

Comparative analysis of the value of diffusion kurtosis imaging and diffusion-weighted imaging in evaluating the histological features of endometrial cancer.

Yue W, Meng N, Wang J, Liu W, Wang X, Yan M, Han D, Cheng J.

Cancer Imaging. 2019 Feb 14;19(1):9. doi: 10.1186/s40644-019-0196-6.

2.

Application of magnetic resonance diffusion kurtosis imaging for distinguishing histopathologic subtypes and grades of rectal carcinoma.

Wen Z, Chen Y, Yang X, Lu B, Liu Y, Shen B, Yu S.

Cancer Imaging. 2019 Feb 11;19(1):8. doi: 10.1186/s40644-019-0192-x.

3.

CT texture analysis: a potential tool for predicting the Fuhrman grade of clear-cell renal carcinoma.

Feng Z, Shen Q, Li Y, Hu Z.

Cancer Imaging. 2019 Feb 6;19(1):6. doi: 10.1186/s40644-019-0195-7.

4.

2020 vision or myopia? A personal perspective on the future of cancer imaging and an introduction to the sequels to the "How I Read Series".

Hicks RJ.

Cancer Imaging. 2019 Feb 6;19(1):7. doi: 10.1186/s40644-019-0194-8. No abstract available.

5.

The utility of MRI histogram and texture analysis for the prediction of histological diagnosis in head and neck malignancies.

Fujima N, Homma A, Harada T, Shimizu Y, Tha KK, Kano S, Mizumachi T, Li R, Kudo K, Shirato H.

Cancer Imaging. 2019 Feb 4;19(1):5. doi: 10.1186/s40644-019-0193-9.

6.

Prediction of high nodal burden with ultrasound and magnetic resonance imaging in clinically node-negative breast cancer patients.

Kim WH, Kim HJ, Lee SM, Cho SH, Shin KM, Lee SY, Lim JK.

Cancer Imaging. 2019 Feb 1;19(1):4. doi: 10.1186/s40644-019-0191-y.

7.

Computed tomographic features of adenoid cystic carcinoma in the palate.

Ju WT, Zhao TC, Liu Y, Tan YR, Dong MJ, Sun Q, Wang LZ, Li J, Zhong LP.

Cancer Imaging. 2019 Jan 31;19(1):3. doi: 10.1186/s40644-019-0190-z.

8.

Distribution of metastasis in the brain in relation to the hippocampus: a retrospective single-center analysis of 565 metastases in 116 patients.

Sun Q, Li M, Wang G, Xu H, He Z, Zhou Y, Zhou Y, Zhou Y, Song H, Jiang H.

Cancer Imaging. 2019 Jan 22;19(1):2. doi: 10.1186/s40644-019-0188-6.

9.

Whole-body diffusion-weighted MRI for operability assessment in patients with colorectal cancer and peritoneal metastases.

Dresen RC, De Vuysere S, De Keyzer F, Van Cutsem E, Prenen H, Vanslembrouck R, De Hertogh G, Wolthuis A, D'Hoore A, Vandecaveye V.

Cancer Imaging. 2019 Jan 7;19(1):1. doi: 10.1186/s40644-018-0187-z.

10.

"Sentinel lymph node imaging with sequential SPECT/CT lymphoscintigraphy before and after neoadjuvant chemoradiotherapy in patients with cancer of the oesophagus or gastro-oesophageal junction - a pilot study".

Gabrielson S, Tsai JA, Celebioglu F, Nilsson M, Rouvelas I, Lindblad M, Bjäreback A, Tomson A, Axelsson R.

Cancer Imaging. 2018 Dec 18;18(1):53. doi: 10.1186/s40644-018-0185-1.

11.

CT texture analysis of lung adenocarcinoma: can Radiomic features be surrogate biomarkers for EGFR mutation statuses.

Mei D, Luo Y, Wang Y, Gong J.

Cancer Imaging. 2018 Dec 14;18(1):52. doi: 10.1186/s40644-018-0184-2.

12.

IDEAL-IQ in an oncologic population: meeting the challenge of concomitant liver fat and liver iron.

Eskreis-Winkler S, Corrias G, Monti S, Zheng J, Capanu M, Krebs S, Fung M, Reeder S, Mannelli L.

Cancer Imaging. 2018 Dec 12;18(1):51. doi: 10.1186/s40644-018-0167-3.

13.

The eye of the beholder: orbital metastases from midgut neuroendocrine tumors, a two institution experience.

Das S, Pineda G, Goff L, Sobel R, Berlin J, Fisher G.

Cancer Imaging. 2018 Dec 6;18(1):47. doi: 10.1186/s40644-018-0181-5.

14.

Discrepancies of assessments in a RECIST 1.1 phase II clinical trial - association between adjudication rate and variability in images and tumors selection.

Beaumont H, Evans TL, Klifa C, Guermazi A, Hong SR, Chadjaa M, Monostori Z.

Cancer Imaging. 2018 Dec 11;18(1):50. doi: 10.1186/s40644-018-0186-0.

15.

Preoperative prediction of peripancreatic vein invasion by pancreatic head cancer.

Shen YN, Guo CX, Pan Y, Chen YW, Tang TY, Li YW, Lu JH, Jin G, Qin RY, Yao WY, Liang TB, Bai XL.

Cancer Imaging. 2018 Dec 10;18(1):49. doi: 10.1186/s40644-018-0179-z.

16.
17.

Tumor heterogeneity in gastrointestinal stromal tumors of the small bowel: volumetric CT texture analysis as a potential biomarker for risk stratification.

Feng C, Lu F, Shen Y, Li A, Yu H, Tang H, Li Z, Hu D.

Cancer Imaging. 2018 Dec 5;18(1):46. doi: 10.1186/s40644-018-0182-4.

18.

Endometrial cancer: an overview of novelties in treatment and related imaging keypoints for local staging.

Rizzo S, Femia M, Buscarino V, Franchi D, Garbi A, Zanagnolo V, Del Grande M, Manganaro L, Alessi S, Giannitto C, Ruju F, Bellomi M.

Cancer Imaging. 2018 Dec 4;18(1):45. doi: 10.1186/s40644-018-0180-6. Review.

19.

Mono, bi- and tri-exponential diffusion MRI modelling for renal solid masses and comparison with histopathological findings.

van Baalen S, Froeling M, Asselman M, Klazen C, Jeltes C, van Dijk L, Vroling B, Dik P, Ten Haken B.

Cancer Imaging. 2018 Nov 26;18(1):44. doi: 10.1186/s40644-018-0178-0.

20.

Diffusion-weighted imaging of rectal cancer on repeatability and cancer characterization: an effect of b-value distribution study.

Chen L, Shen F, Li Z, Lu H, Chen Y, Wang Z, Lu J.

Cancer Imaging. 2018 Nov 15;18(1):43. doi: 10.1186/s40644-018-0177-1.

Supplemental Content

Loading ...
Support Center