BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

299 related articles for article (PubMed ID: 36284932)

  • 1. Radiomics as an emerging tool in the management of brain metastases.
    Nowakowski A; Lahijanian Z; Panet-Raymond V; Siegel PM; Petrecca K; Maleki F; Dankner M
    Neurooncol Adv; 2022; 4(1):vdac141. PubMed ID: 36284932
    [TBL] [Abstract][Full Text] [Related]  

  • 2. More advantages in detecting bone and soft tissue metastases from prostate cancer using
    Pianou NK; Stavrou PZ; Vlontzou E; Rondogianni P; Exarhos DN; Datseris IE
    Hell J Nucl Med; 2019; 22(1):6-9. PubMed ID: 30843003
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Pretreatment Thoracic CT Radiomic Features to Predict Brain Metastases in Patients With
    Wang H; Chen YZ; Li WH; Han Y; Li Q; Ye Z
    Front Genet; 2022; 13():772090. PubMed ID: 35281837
    [No Abstract]   [Full Text] [Related]  

  • 4. Investigation of the added value of CT-based radiomics in predicting the development of brain metastases in patients with radically treated stage III NSCLC.
    Keek SA; Kayan E; Chatterjee A; Belderbos JSA; Bootsma G; van den Borne B; Dingemans AC; Gietema HA; Groen HJM; Herder J; Pitz C; Praag J; De Ruysscher D; Schoenmaekers J; Smit HJM; Stigt J; Westenend M; Zeng H; Woodruff HC; Lambin P; Hendriks L
    Ther Adv Med Oncol; 2022; 14():17588359221116605. PubMed ID: 36032350
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Application of radiomics signature captured from pretreatment thoracic CT to predict brain metastases in stage III/IV ALK-positive non-small cell lung cancer patients.
    Xu X; Huang L; Chen J; Wen J; Liu D; Cao J; Wang J; Fan M
    J Thorac Dis; 2019 Nov; 11(11):4516-4528. PubMed ID: 31903240
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Differentiating the pathological subtypes of primary lung cancer for patients with brain metastases based on radiomics features from brain CT images.
    Zhang J; Jin J; Ai Y; Zhu K; Xiao C; Xie C; Jin X
    Eur Radiol; 2021 Feb; 31(2):1022-1028. PubMed ID: 32822055
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Applications of radiomics and machine learning for radiotherapy of malignant brain tumors.
    Kocher M; Ruge MI; Galldiks N; Lohmann P
    Strahlenther Onkol; 2020 Oct; 196(10):856-867. PubMed ID: 32394100
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted Radiomics.
    Keek SA; Beuque M; Primakov S; Woodruff HC; Chatterjee A; van Timmeren JE; Vallières M; Hendriks LEL; Kraft J; Andratschke N; Braunstein SE; Morin O; Lambin P
    Front Oncol; 2022; 12():920393. PubMed ID: 35912214
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bone and Soft Tissue Tumors: Horizons in Radiomics and Artificial Intelligence.
    Richardson ML; Amini B; Kinahan PE
    Radiol Clin North Am; 2022 Mar; 60(2):339-358. PubMed ID: 35236598
    [TBL] [Abstract][Full Text] [Related]  

  • 10. CT-Based Radiomics Model for Predicting Brain Metastasis in Category T1 Lung Adenocarcinoma.
    Chen A; Lu L; Pu X; Yu T; Yang H; Schwartz LH; Zhao B
    AJR Am J Roentgenol; 2019 Jul; 213(1):134-139. PubMed ID: 30933649
    [No Abstract]   [Full Text] [Related]  

  • 11. CT-based radiomics for predicting brain metastases as the first failure in patients with curatively resected locally advanced non-small cell lung cancer.
    Sun F; Chen Y; Chen X; Sun X; Xing L
    Eur J Radiol; 2021 Jan; 134():109411. PubMed ID: 33246270
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artificial Intelligence to Early Predict Liver Metastases in Patients with Colorectal Cancer: Current Status and Future Prospectives.
    Avella P; Cappuccio M; Cappuccio T; Rotondo M; Fumarulo D; Guerra G; Sciaudone G; Santone A; Cammilleri F; Bianco P; Brunese MC
    Life (Basel); 2023 Oct; 13(10):. PubMed ID: 37895409
    [TBL] [Abstract][Full Text] [Related]  

  • 13. New advances in radiomics of gastrointestinal stromal tumors.
    Cannella R; La Grutta L; Midiri M; Bartolotta TV
    World J Gastroenterol; 2020 Aug; 26(32):4729-4738. PubMed ID: 32921953
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
    Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
    EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting Survival Duration With MRI Radiomics of Brain Metastases From Non-small Cell Lung Cancer.
    Chen BT; Jin T; Ye N; Mambetsariev I; Wang T; Wong CW; Chen Z; Rockne RC; Colen RR; Holodny AI; Sampath S; Salgia R
    Front Oncol; 2021; 11():621088. PubMed ID: 33747933
    [No Abstract]   [Full Text] [Related]  

  • 16. How Radiomics Can Improve Breast Cancer Diagnosis and Treatment.
    Pesapane F; De Marco P; Rapino A; Lombardo E; Nicosia L; Tantrige P; Rotili A; Bozzini AC; Penco S; Dominelli V; Trentin C; Ferrari F; Farina M; Meneghetti L; Latronico A; Abbate F; Origgi D; Carrafiello G; Cassano E
    J Clin Med; 2023 Feb; 12(4):. PubMed ID: 36835908
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Personalized Breast Cancer Treatments Using Artificial Intelligence in Radiomics and Pathomics.
    Tran WT; Jerzak K; Lu FI; Klein J; Tabbarah S; Lagree A; Wu T; Rosado-Mendez I; Law E; Saednia K; Sadeghi-Naini A
    J Med Imaging Radiat Sci; 2019 Dec; 50(4 Suppl 2):S32-S41. PubMed ID: 31447230
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Differentiation of Glioblastoma and Brain Metastases by MRI-Based Oxygen Metabolomic Radiomics and Deep Learning.
    Stadlbauer A; Heinz G; Marhold F; Meyer-Bäse A; Ganslandt O; Buchfelder M; Oberndorfer S
    Metabolites; 2022 Dec; 12(12):. PubMed ID: 36557302
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development and validation a radiomics nomogram for diagnosing occult brain metastases in patients with stage IV lung adenocarcinoma.
    Cong P; Qiu Q; Li X; Sun Q; Yu X; Yin Y
    Transl Cancer Res; 2021 Oct; 10(10):4375-4386. PubMed ID: 35116296
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting local failure of brain metastases after stereotactic radiosurgery with radiomics on planning MR images and dose maps.
    Wang H; Xue J; Qu T; Bernstein K; Chen T; Barbee D; Silverman JS; Kondziolka D
    Med Phys; 2021 Sep; 48(9):5522-5530. PubMed ID: 34287940
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.