178 related articles for article (PubMed ID: 37164024)
41. Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans.
Khorrami M; Bera K; Thawani R; Rajiah P; Gupta A; Fu P; Linden P; Pennell N; Jacono F; Gilkeson RC; Velcheti V; Madabhushi A
Eur J Cancer; 2021 May; 148():146-158. PubMed ID: 33743483
[TBL] [Abstract][Full Text] [Related]
42. External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer.
Jha AK; Sherkhane UB; Mthun S; Jaiswar V; Purandare N; Prabhash K; Wee L; Rangarajan V; Dekker A
J Digit Imaging; 2023 Dec; 36(6):2519-2531. PubMed ID: 37735307
[TBL] [Abstract][Full Text] [Related]
43. Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients.
Shiri I; Sorouri M; Geramifar P; Nazari M; Abdollahi M; Salimi Y; Khosravi B; Askari D; Aghaghazvini L; Hajianfar G; Kasaeian A; Abdollahi H; Arabi H; Rahmim A; Radmard AR; Zaidi H
Comput Biol Med; 2021 May; 132():104304. PubMed ID: 33691201
[TBL] [Abstract][Full Text] [Related]
44. A Comprehensive Nomogram Combining CT Imaging with Clinical Features for Prediction of Lymph Node Metastasis in Stage I-IIIB Non-small Cell Lung Cancer.
Zheng X; Shao J; Zhou L; Wang L; Ge Y; Wang G; Feng F
Ther Innov Regul Sci; 2022 Jan; 56(1):155-167. PubMed ID: 34699046
[TBL] [Abstract][Full Text] [Related]
45. Radiomics-based Assessment of Radiation-induced Lung Injury After Stereotactic Body Radiotherapy.
Moran A; Daly ME; Yip SSF; Yamamoto T
Clin Lung Cancer; 2017 Nov; 18(6):e425-e431. PubMed ID: 28623121
[TBL] [Abstract][Full Text] [Related]
46. Novel Harmonization Method for Multi-Centric Radiomic Studies in Non-Small Cell Lung Cancer.
Bertolini M; Trojani V; Botti A; Cucurachi N; Galaverni M; Cozzi S; Borghetti P; La Mattina S; Pastorello E; Avanzo M; Revelant A; Sepulcri M; Paronetto C; Ursino S; Malfatti G; Giaj-Levra N; Falcinelli L; Iotti C; Iori M; Ciammella P
Curr Oncol; 2022 Jul; 29(8):5179-5194. PubMed ID: 35892979
[TBL] [Abstract][Full Text] [Related]
47. The CT delta-radiomics based machine learning approach in evaluating multiple primary lung adenocarcinoma.
Ma Y; Li J; Xu X; Zhang Y; Lin Y
BMC Cancer; 2022 Sep; 22(1):949. PubMed ID: 36057553
[TBL] [Abstract][Full Text] [Related]
48. An investigation of machine learning methods in delta-radiomics feature analysis.
Chang Y; Lafata K; Sun W; Wang C; Chang Z; Kirkpatrick JP; Yin FF
PLoS One; 2019; 14(12):e0226348. PubMed ID: 31834910
[TBL] [Abstract][Full Text] [Related]
49. Incidence of High-Risk Radiologic Features in Patients Without Local Recurrence After Stereotactic Ablative Radiation Therapy for Early-Stage Non-Small Cell Lung Cancer.
Ronden MI; van Sörnsen de Koste JR; Johnson C; Slotman BJ; Spoelstra FOB; Haasbeek CJA; Blom G; Bongers EM; Warner A; Ward A; Palma D; Senan S
Int J Radiat Oncol Biol Phys; 2018 Jan; 100(1):115-121. PubMed ID: 29102278
[TBL] [Abstract][Full Text] [Related]
50. Predicting N2 lymph node metastasis in presurgical stage I-II non-small cell lung cancer using multiview radiomics and deep learning method.
Zhang H; Liao M; Guo Q; Chen J; Wang S; Liu S; Xiao F
Med Phys; 2023 Apr; 50(4):2049-2060. PubMed ID: 36563341
[TBL] [Abstract][Full Text] [Related]
51. Optimizing the radiomics-machine-learning model based on non-contrast enhanced CT for the simplified risk categorization of thymic epithelial tumors: A large cohort retrospective study.
Feng XL; Wang SZ; Chen HH; Huang YX; Xin YK; Zhang T; Cheng DL; Mao L; Li XL; Liu CX; Hu YC; Wang W; Cui GB; Nan HY
Lung Cancer; 2022 Apr; 166():150-160. PubMed ID: 35287067
[TBL] [Abstract][Full Text] [Related]
52. Combination of Clinical Factors and Radiomics Can Predict Local Recurrence and Metastasis After Stereotactic Body Radiotherapy for Non-small Cell Lung Cancer.
Isoyama-Shirakawa Y; Yoshitake T; Ninomiya K; Asai K; Matsumoto K; Shioyama Y; Kodama T; Ishigami K; Arimura H
Anticancer Res; 2023 Nov; 43(11):5003-5013. PubMed ID: 37909956
[TBL] [Abstract][Full Text] [Related]
53. Prediction of TTF-1 expression in non-small-cell lung cancer using machine learning-based radiomics.
Zhang R; Huo X; Wang Q; Zhang J; Duan S; Zhang Q; Zhang S
J Cancer Res Clin Oncol; 2023 Jul; 149(8):4547-4554. PubMed ID: 36151427
[TBL] [Abstract][Full Text] [Related]
54. Radiomics feature analysis and model research for predicting histopathological subtypes of non-small cell lung cancer on CT images: A multi-dataset study.
Song F; Song X; Feng Y; Fan G; Sun Y; Zhang P; Li J; Liu F; Zhang G
Med Phys; 2023 Jul; 50(7):4351-4365. PubMed ID: 36682051
[TBL] [Abstract][Full Text] [Related]
55. 7-year follow-up after stereotactic ablative radiotherapy for patients with stage I non-small cell lung cancer: Results of a phase 2 clinical trial.
Sun B; Brooks ED; Komaki RU; Liao Z; Jeter MD; McAleer MF; Allen PK; Balter PA; Welsh JD; O'Reilly MS; Gomez D; Hahn SM; Roth JA; Mehran RJ; Heymach JV; Chang JY
Cancer; 2017 Aug; 123(16):3031-3039. PubMed ID: 28346656
[TBL] [Abstract][Full Text] [Related]
56. Evaluation of the performance of both machine learning models using PET and CT radiomics for predicting recurrence following lung stereotactic body radiation therapy: A single-institutional study.
Nemoto H; Saito M; Satoh Y; Komiyama T; Marino K; Aoki S; Suzuki H; Sano N; Nonaka H; Watanabe H; Funayama S; Onishi H
J Appl Clin Med Phys; 2024 Mar; ():e14322. PubMed ID: 38436611
[TBL] [Abstract][Full Text] [Related]
57. Treatment response prediction using MRI-based pre-, post-, and delta-radiomic features and machine learning algorithms in colorectal cancer.
Shayesteh S; Nazari M; Salahshour A; Sandoughdaran S; Hajianfar G; Khateri M; Yaghobi Joybari A; Jozian F; Fatehi Feyzabad SH; Arabi H; Shiri I; Zaidi H
Med Phys; 2021 Jul; 48(7):3691-3701. PubMed ID: 33894058
[TBL] [Abstract][Full Text] [Related]
58. The use of texture-based radiomics CT analysis to predict outcomes in early-stage non-small cell lung cancer treated with stereotactic ablative radiotherapy.
Starkov P; Aguilera TA; Golden DI; Shultz DB; Trakul N; Maxim PG; Le QT; Loo BW; Diehn M; Depeursinge A; Rubin DL
Br J Radiol; 2019 Feb; 92(1094):20180228. PubMed ID: 30457885
[TBL] [Abstract][Full Text] [Related]
59. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
[TBL] [Abstract][Full Text] [Related]
60. Longitudinal radiomics of cone-beam CT images from non-small cell lung cancer patients: Evaluation of the added prognostic value for overall survival and locoregional recurrence.
van Timmeren JE; van Elmpt W; Leijenaar RTH; Reymen B; Monshouwer R; Bussink J; Paelinck L; Bogaert E; De Wagter C; Elhaseen E; Lievens Y; Hansen O; Brink C; Lambin P
Radiother Oncol; 2019 Jul; 136():78-85. PubMed ID: 31015133
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
