Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

129 related articles for article (PubMed ID: 38636408)

  • 1. Exploring tumor heterogeneity in colorectal liver metastases by imaging: Unsupervised machine learning of preoperative CT radiomics features for prognostic stratification.
    Wang Q; Nilsson H; Xu K; Wei X; Chen D; Zhao D; Hu X; Wang A; Bai G
    Eur J Radiol; 2024 Jun; 175():111459. PubMed ID: 38636408
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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; 2024 Jun; 34(6):3635-3643. PubMed ID: 37987835
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. Radiomics using computed tomography to predict CD73 expression and prognosis of colorectal cancer liver metastases.
    Saber R; Henault D; Messaoudi N; Rebolledo R; Montagnon E; Soucy G; Stagg J; Tang A; Turcotte S; Kadoury S
    J Transl Med; 2023 Jul; 21(1):507. PubMed ID: 37501197
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Positron Emission Tomography Combined With Computed Tomography vs. No Positron Emission Tomography Combined With Computed Tomography for the Management of Patients With Resectable Colorectal Cancer Liver Metastases and Synchronous Extrahepatic Disease.
    Serrano PE; Gu CS; Moulton CA; Gallinger S
    Am Surg; 2021 Sep; 87(9):1431-1437. PubMed ID: 33345573
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prognostic significance of
    Shim JR; Lee SD; Han SS; Lee SJ; Lee DE; Kim SK; Kim SH; Park SJ; Oh JH
    Eur J Surg Oncol; 2018 May; 44(5):670-676. PubMed ID: 29459018
    [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. A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRC.
    Stüber AT; Coors S; Schachtner B; Weber T; Rügamer D; Bender A; Mittermeier A; Öcal O; Seidensticker M; Ricke J; Bischl B; Ingrisch M
    Invest Radiol; 2023 Dec; 58(12):874-881. PubMed ID: 37504498
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The relevance of CT-based geometric and radiomics analysis of whole liver tumor burden to predict survival of patients with metastatic colorectal cancer.
    Mühlberg A; Holch JW; Heinemann V; Huber T; Moltz J; Maurus S; Jäger N; Liu L; Froelich MF; Katzmann A; Gresser E; Taubmann O; Sühling M; Nörenberg D
    Eur Radiol; 2021 Feb; 31(2):834-846. PubMed ID: 32851450
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment.
    Granata V; Fusco R; De Muzio F; Brunese MC; Setola SV; Ottaiano A; Cardone C; Avallone A; Patrone R; Pradella S; Miele V; Tatangelo F; Cutolo C; Maggialetti N; Caruso D; Izzo F; Petrillo A
    Radiol Med; 2023 Nov; 128(11):1310-1332. PubMed ID: 37697033
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Advanced image analytics predicting clinical outcomes in patients with colorectal liver metastases: A systematic review of the literature.
    Wesdorp NJ; van Goor VJ; Kemna R; Jansma EP; van Waesberghe JHTM; Swijnenburg RJ; Punt CJA; Huiskens J; Kazemier G
    Surg Oncol; 2021 Sep; 38():101578. PubMed ID: 33866191
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Computed Tomography Image Texture: A Noninvasive Prognostic Marker of Hepatic Recurrence After Hepatectomy for Metastatic Colorectal Cancer.
    Simpson AL; Doussot A; Creasy JM; Adams LB; Allen PJ; DeMatteo RP; Gönen M; Kemeny NE; Kingham TP; Shia J; Jarnagin WR; Do RKG; D'Angelica MI
    Ann Surg Oncol; 2017 Sep; 24(9):2482-2490. PubMed ID: 28560599
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The prognostic value of fluorodeoxyglucose positron emission tomography metabolic tumor volume in solitary colorectal liver metastasis.
    Huang YT; Park J; Chong S; Hugh TJ; Ng WL; Lin M
    Asia Pac J Clin Oncol; 2017 Oct; 13(5):e262-e270. PubMed ID: 27451967
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Distinguishing pure histopathological growth patterns of colorectal liver metastases on CT using deep learning and radiomics: a pilot study.
    Starmans MPA; Buisman FE; Renckens M; Willemssen FEJA; van der Voort SR; Groot Koerkamp B; Grünhagen DJ; Niessen WJ; Vermeulen PB; Verhoef C; Visser JJ; Klein S
    Clin Exp Metastasis; 2021 Oct; 38(5):483-494. PubMed ID: 34533669
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Special issue "The advance of solid tumor research in China": Prognosis prediction for stage II colorectal cancer by fusing computed tomography radiomics and deep-learning features of primary lesions and peripheral lymph nodes.
    Li M; Gong J; Bao Y; Huang D; Peng J; Tong T
    Int J Cancer; 2023 Jan; 152(1):31-41. PubMed ID: 35484979
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Outcome prediction in resectable lung adenocarcinoma patients: value of CT radiomics.
    Choe J; Lee SM; Do KH; Kim S; Choi S; Lee JG; Seo JB
    Eur Radiol; 2020 Sep; 30(9):4952-4963. PubMed ID: 32356158
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The prognostic value of preoperative serum lactate dehydrogenase levels in patients underwent curative-intent hepatectomy for colorectal liver metastases: A two-center cohort study.
    Bai L; Lin ZY; Lu YX; Chen Q; Zhou H; Meng Q; Lin CP; Huang WL; Wan YL; Pan ZZ; Wang DS
    Cancer Med; 2021 Nov; 10(22):8005-8019. PubMed ID: 34636145
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction of Histopathologic Growth Patterns of Colorectal Liver Metastases with a Noninvasive Imaging Method.
    Cheng J; Wei J; Tong T; Sheng W; Zhang Y; Han Y; Gu D; Hong N; Ye Y; Tian J; Wang Y
    Ann Surg Oncol; 2019 Dec; 26(13):4587-4598. PubMed ID: 31605342
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting local tumour progression after ablation for colorectal liver metastases: CT-based radiomics of the ablation zone.
    Staal FCR; Taghavi M; van der Reijd DJ; Gomez FM; Imani F; Klompenhouwer EG; Meek D; Roberti S; de Boer M; Lambregts DMJ; Beets-Tan RGH; Maas M
    Eur J Radiol; 2021 Aug; 141():109773. PubMed ID: 34022475
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.