145 related articles for article (PubMed ID: 38067353)
1. Identifying Genetic Mutation Status in Patients with Colorectal Cancer Liver Metastases Using Radiomics-Based Machine-Learning Models.
Wesdorp N; Zeeuw M; van der Meulen D; van 't Erve I; Bodalal Z; Roor J; van Waesberghe JH; Moos S; van den Bergh J; Nota I; van Dieren S; Stoker J; Meijer G; Swijnenburg RJ; Punt C; Huiskens J; Beets-Tan R; Fijneman R; Marquering H; Kazemier G; On Behalf Of The Dutch Colorectal Cancer Group Liver Expert Panel
Cancers (Basel); 2023 Nov; 15(23):. PubMed ID: 38067353
[TBL] [Abstract][Full Text] [Related]
2. Deep learning models for automatic tumor segmentation and total tumor volume assessment in patients with colorectal liver metastases.
Wesdorp NJ; Zeeuw JM; Postma SCJ; Roor J; van Waesberghe JHTM; van den Bergh JE; Nota IM; Moos S; Kemna R; Vadakkumpadan F; Ambrozic C; van Dieren S; van Amerongen MJ; Chapelle T; Engelbrecht MRW; Gerhards MF; Grunhagen D; van Gulik TM; Hermans JJ; de Jong KP; Klaase JM; Liem MSL; van Lienden KP; Molenaar IQ; Patijn GA; Rijken AM; Ruers TM; Verhoef C; de Wilt JHW; Marquering HA; Stoker J; Swijnenburg RJ; Punt CJA; Huiskens J; Kazemier G
Eur Radiol Exp; 2023 Dec; 7(1):75. PubMed ID: 38038829
[TBL] [Abstract][Full Text] [Related]
3. Independent validation of CT radiomics models in colorectal liver metastases: predicting local tumour progression after ablation.
van der Reijd DJ; Guerendel C; Staal FCR; Busard MP; De Oliveira Taveira M; Klompenhouwer EG; Kuhlmann KFD; Moelker A; Verhoef C; Starmans MPA; Lambregts DMJ; Beets-Tan RGH; Benson S; Maas M
Eur Radiol; 2023 Nov; ():. PubMed ID: 37987835
[TBL] [Abstract][Full Text] [Related]
4. Efficiency of CT radiomics model in assessing the microsatellite instability of colorectal cancer liver metastasis.
Wang Y; Ma L; Guo H; Wang X; Ye Z; Fan S; Gao B; Yin XP
Curr Med Imaging; 2023 Aug; ():. PubMed ID: 37622558
[TBL] [Abstract][Full Text] [Related]
5. CT radiomics models are unable to predict new liver metastasis after successful thermal ablation of colorectal liver metastases.
Taghavi M; Staal FC; Simões R; Hong EK; Lambregts DM; van der Heide UA; Beets-Tan RG; Maas M
Acta Radiol; 2023 Jan; 64(1):5-12. PubMed ID: 34918955
[TBL] [Abstract][Full Text] [Related]
6. Deep radiomics-based fusion model for prediction of bevacizumab treatment response and outcome in patients with colorectal cancer liver metastases: a multicentre cohort study.
Zhou S; Sun D; Mao W; Liu Y; Cen W; Ye L; Liang F; Xu J; Shi H; Ji Y; Wang L; Chang W
EClinicalMedicine; 2023 Nov; 65():102271. PubMed ID: 37869523
[TBL] [Abstract][Full Text] [Related]
7. Prediction of KRAS, NRAS and BRAF status in colorectal cancer patients with liver metastasis using a deep artificial neural network based on radiomics and semantic features.
Shi R; Chen W; Yang B; Qu J; Cheng Y; Zhu Z; Gao Y; Wang Q; Liu Y; Li Z; Qu X
Am J Cancer Res; 2020; 10(12):4513-4526. PubMed ID: 33415015
[TBL] [Abstract][Full Text] [Related]
8. Machine learning-based analysis of CT radiomics model for prediction of colorectal metachronous liver metastases.
Taghavi M; Trebeschi S; Simões R; Meek DB; Beckers RCJ; Lambregts DMJ; Verhoef C; Houwers JB; van der Heide UA; Beets-Tan RGH; Maas M
Abdom Radiol (NY); 2021 Jan; 46(1):249-256. PubMed ID: 32583138
[TBL] [Abstract][Full Text] [Related]
9. Prediction of Local Tumor Progression After Microwave Ablation in Colorectal Carcinoma Liver Metastases Patients by MRI Radiomics and Clinical Characteristics-Based Combined Model: Preliminary Results.
Shahveranova A; Balli HT; Aikimbaev K; Piskin FC; Sozutok S; Yucel SP
Cardiovasc Intervent Radiol; 2023 Jun; 46(6):713-725. PubMed ID: 37156944
[TBL] [Abstract][Full Text] [Related]
10. Development and assessment of an individualized nomogram to predict colorectal cancer liver metastases.
Li M; Li X; Guo Y; Miao Z; Liu X; Guo S; Zhang H
Quant Imaging Med Surg; 2020 Feb; 10(2):397-414. PubMed ID: 32190566
[TBL] [Abstract][Full Text] [Related]
11. A CT-based radiomics nomogram for predicting histopathologic growth patterns of colorectal liver metastases.
Sun C; Liu X; Sun J; Dong L; Wei F; Bao C; Zhong J; Li Y
J Cancer Res Clin Oncol; 2023 Sep; 149(12):9543-9555. PubMed ID: 37221440
[TBL] [Abstract][Full Text] [Related]
12. CT-Based Radiomics Analysis Before Thermal Ablation to Predict Local Tumor Progression for Colorectal Liver Metastases.
Taghavi M; Staal F; Gomez Munoz F; Imani F; Meek DB; Simões R; Klompenhouwer LG; van der Heide UA; Beets-Tan RGH; Maas M
Cardiovasc Intervent Radiol; 2021 Jun; 44(6):913-920. PubMed ID: 33506278
[TBL] [Abstract][Full Text] [Related]
13. MRI-Based Radiomics Nomogram for Preoperatively Differentiating Intrahepatic Mass-Forming Cholangiocarcinoma From Resectable Colorectal Liver Metastases.
Xu Y; Ye F; Li L; Yang Y; Ouyang J; Zhou Y; Wang S; Xie L; Zhou J; Zhao H; Zhao X
Acad Radiol; 2023 Sep; 30(9):2010-2020. PubMed ID: 37414635
[TBL] [Abstract][Full Text] [Related]
14. Radiomics and Machine Learning Analysis Based on Magnetic Resonance Imaging in the Assessment of Colorectal Liver Metastases Growth Pattern.
Granata V; Fusco R; De Muzio F; Cutolo C; Mattace Raso M; Gabelloni M; Avallone A; Ottaiano A; Tatangelo F; Brunese MC; Miele V; Izzo F; Petrillo A
Diagnostics (Basel); 2022 Apr; 12(5):. PubMed ID: 35626271
[TBL] [Abstract][Full Text] [Related]
15. Radiomics and Machine Learning for prediction of two-year disease-specific mortality and KRAS mutation status in metastatic colorectal cancer.
Ricci Lara MA; Esposito MI; Aineseder M; López Grove R; Cerini MA; Verzura MA; Luna DR; Benítez SE; Spina JC
Surg Oncol; 2023 Dec; 51():101986. PubMed ID: 37729816
[TBL] [Abstract][Full Text] [Related]
16. Development and validation of a MRI-based radiomics signature for prediction of KRAS mutation in rectal cancer.
Cui Y; Liu H; Ren J; Du X; Xin L; Li D; Yang X; Wang D
Eur Radiol; 2020 Apr; 30(4):1948-1958. PubMed ID: 31942672
[TBL] [Abstract][Full Text] [Related]
17. Accuracy of machine learning in preoperative identification of genetic mutation status in lung cancer: A systematic review and meta-analysis.
Chen J; Chen A; Yang S; Liu J; Xie C; Jiang H
Radiother Oncol; 2024 May; 196():110325. PubMed ID: 38734145
[TBL] [Abstract][Full Text] [Related]
18. CT-based radiomics for the identification of colorectal cancer liver metastases sensitive to first-line irinotecan-based chemotherapy.
Qi W; Yang J; Zheng L; Lu Y; Liu R; Ju Y; Niu T; Wang D
Med Phys; 2023 May; 50(5):2705-2714. PubMed ID: 36841949
[TBL] [Abstract][Full Text] [Related]
19. Use of radiomics based on
Zhou Y; Ma XL; Zhang T; Wang J; Zhang T; Tian R
Eur J Nucl Med Mol Imaging; 2021 Aug; 48(9):2904-2913. PubMed ID: 33547553
[TBL] [Abstract][Full Text] [Related]
20. Interobserver Variability in CT-based Morphologic Tumor Response Assessment of Colorectal Liver Metastases.
Wesdorp NJ; Kemna R; Bolhuis K; van Waesberghe JHTM; Nota IMGC; Struik F; Oulad Abdennabi I; Phoa SSKS; van Dieren S; van Amerongen MJ; Chapelle T; Dejong CHC; Engelbrecht MRW; Gerhards MF; Grünhagen D; van Gulik TM; Hermans JJ; de Jong KP; Klaase JM; Liem MSL; van Lienden KP; Molenaar IQ; Patijn GA; Rijken AM; Ruers TM; Verhoef C; de Wilt JHW; Swijnenburg RJ; Punt CJA; Huiskens J; Stoker J; Kazemier G;
Radiol Imaging Cancer; 2022 May; 4(3):e210105. PubMed ID: 35522139
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
