285 related articles for article (PubMed ID: 35842679)
21. The Value of Whole-Tumor Texture Analysis of ADC in Predicting the Early Recurrence of Locally Advanced Cervical Squamous Cell Cancer Treated With Concurrent Chemoradiotherapy.
Zhang X; Zhang Q; Xie L; An J; Wang S; Yu X; Zhao X
Front Oncol; 2022; 12():852308. PubMed ID: 35669419
[TBL] [Abstract][Full Text] [Related]
22. Prediction of outcome using pretreatment
Lucia F; Visvikis D; Desseroit MC; Miranda O; Malhaire JP; Robin P; Pradier O; Hatt M; Schick U
Eur J Nucl Med Mol Imaging; 2018 May; 45(5):768-786. PubMed ID: 29222685
[TBL] [Abstract][Full Text] [Related]
23. Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
Cui Y; Yang X; Shi Z; Yang Z; Du X; Zhao Z; Cheng X
Eur Radiol; 2019 Mar; 29(3):1211-1220. PubMed ID: 30128616
[TBL] [Abstract][Full Text] [Related]
24. MRI Radiomics for Predicting Survival in Patients with Locally Advanced Hypopharyngeal Cancer Treated with Concurrent Chemoradiotherapy.
Siow TY; Yeh CH; Lin G; Lin CY; Wang HM; Liao CT; Toh CH; Chan SC; Lin CP; Ng SH
Cancers (Basel); 2022 Dec; 14(24):. PubMed ID: 36551604
[TBL] [Abstract][Full Text] [Related]
25. Magnetic resonance imaging features of tumor and lymph node to predict clinical outcome in node-positive cervical cancer: a retrospective analysis.
Park SH; Hahm MH; Bae BK; Chong GO; Jeong SY; Na S; Jeong S; Kim JC
Radiat Oncol; 2020 Apr; 15(1):86. PubMed ID: 32312283
[TBL] [Abstract][Full Text] [Related]
26. Machine learning models predict overall survival and progression free survival of non-surgical esophageal cancer patients with chemoradiotherapy based on CT image radiomics signatures.
Cui Y; Li Z; Xiang M; Han D; Yin Y; Ma C
Radiat Oncol; 2022 Dec; 17(1):212. PubMed ID: 36575480
[TBL] [Abstract][Full Text] [Related]
27. Radiomics analysis of magnetic resonance imaging improves diagnostic performance of lymph node metastasis in patients with cervical cancer.
Wu Q; Wang S; Chen X; Wang Y; Dong L; Liu Z; Tian J; Wang M
Radiother Oncol; 2019 Sep; 138():141-148. PubMed ID: 31252296
[TBL] [Abstract][Full Text] [Related]
28. Added-value of dynamic contrast-enhanced MRI on prediction of tumor recurrence in locally advanced cervical cancer treated with chemoradiotherapy.
Zhang Q; Guo J; Ouyang H; Chen S; Zhao X; Yu X
Eur Radiol; 2022 Apr; 32(4):2529-2539. PubMed ID: 34647177
[TBL] [Abstract][Full Text] [Related]
29. Radiomics Analysis of PET and CT Components of
Wang X; Lu Z
Front Oncol; 2021; 11():638124. PubMed ID: 33928029
[TBL] [Abstract][Full Text] [Related]
30. MRI-based radiomics: promise for locally advanced cervical cancer treated with a tailored integrated therapeutic approach.
Laliscia C; Gadducci A; Mattioni R; Orlandi F; Giusti S; Barcellini A; Gabelloni M; Morganti R; Neri E; Paiar F
Tumori; 2022 Aug; 108(4):376-385. PubMed ID: 34235995
[TBL] [Abstract][Full Text] [Related]
31. MRI-based random survival Forest model improves prediction of progression-free survival to induction chemotherapy plus concurrent Chemoradiotherapy in Locoregionally Advanced nasopharyngeal carcinoma.
Pei W; Wang C; Liao H; Chen X; Wei Y; Huang X; Liang X; Bao H; Su D; Jin G
BMC Cancer; 2022 Jul; 22(1):739. PubMed ID: 35794590
[TBL] [Abstract][Full Text] [Related]
32. Prognostic Value of
Luo Y; Huang Z; Gao Z; Wang B; Zhang Y; Bai Y; Wu Q; Wang M
Korean J Radiol; 2024 Feb; 25(2):189-198. PubMed ID: 38288898
[TBL] [Abstract][Full Text] [Related]
33. An MRI-based radiomics-clinical nomogram for the overall survival prediction in patients with hypopharyngeal squamous cell carcinoma: a multi-cohort study.
Chen J; Lu S; Mao Y; Tan L; Li G; Gao Y; Tan P; Huang D; Zhang X; Qiu Y; Liu Y
Eur Radiol; 2022 Mar; 32(3):1548-1557. PubMed ID: 34665315
[TBL] [Abstract][Full Text] [Related]
34. Multiparametric MRI-Based Radiomics Nomogram for Predicting Lymph Node Metastasis in Early-Stage Cervical Cancer.
Xiao M; Ma F; Li Y; Li Y; Li M; Zhang G; Qiang J
J Magn Reson Imaging; 2020 Sep; 52(3):885-896. PubMed ID: 32096586
[TBL] [Abstract][Full Text] [Related]
35. Prognostic values of ADC
Akkus Yildirim B; Onal C; Erbay G; Cem Guler O; Karadeli E; Reyhan M; Koc Z
J Obstet Gynaecol; 2019 Feb; 39(2):224-230. PubMed ID: 30354907
[TBL] [Abstract][Full Text] [Related]
36. A nomogram based on pretreatment CT radiomics features for predicting complete response to chemoradiotherapy in patients with esophageal squamous cell cancer.
Luo HS; Huang SF; Xu HY; Li XY; Wu SX; Wu DH
Radiat Oncol; 2020 Oct; 15(1):249. PubMed ID: 33121507
[TBL] [Abstract][Full Text] [Related]
37. [Curative effect analysis of postoperative concurrent chemoradiotherapy on early-stage cervical cancer patients with intermediate-risk factors].
Tang Q; Tu YQ; Chen JH; Lyu XJ; Yan DD
Zhonghua Zhong Liu Za Zhi; 2018 Jun; 40(6):462-466. PubMed ID: 29936774
[No Abstract] [Full Text] [Related]
38. Comparison of the survival outcome of neoadjuvant therapy followed by radical surgery with that of concomitant chemoradiotherapy in patients with stage IB2-IIIB cervical adenocarcinoma.
Tian T; Gao X; Ju Y; Ding X; Ai Y
Arch Gynecol Obstet; 2021 Mar; 303(3):793-801. PubMed ID: 33009996
[TBL] [Abstract][Full Text] [Related]
39. Prognostic value of ADC quantification for clinical outcome in uterine cervical cancer treated with concurrent chemoradiotherapy.
Gu KW; Kim CK; Choi CH; Yoon YC; Park W
Eur Radiol; 2019 Nov; 29(11):6236-6244. PubMed ID: 30980126
[TBL] [Abstract][Full Text] [Related]
40. Chemoradiotherapy followed by consolidation chemotherapy involving paclitaxel and carboplatin and in FIGO stage IIIB/IVA cervical cancer patients.
Mabuchi S; Isohashi F; Okazawa M; Kitada F; Maruoka S; Ogawa K; Kimura T
J Gynecol Oncol; 2017 Jan; 28(1):e15. PubMed ID: 27958682
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
