292 related articles for article (PubMed ID: 31395503)
21. The added value of fasting blood glucose to serum squamous cell carcinoma antigen for predicting oncological outcomes in cervical cancer patients receiving neoadjuvant chemotherapy followed by radical hysterectomy.
Wu MF; Guan MM; Liu CH; Wu JY; Rao QX; Li J
Cancer Med; 2019 Sep; 8(11):5068-5078. PubMed ID: 31310455
[TBL] [Abstract][Full Text] [Related]
22. Radiomics of locally advanced rectal cancer: machine learning-based prediction of response to neoadjuvant chemoradiotherapy using pre-treatment sagittal T2-weighted MRI.
Yardimci AH; Kocak B; Sel I; Bulut H; Bektas CT; Cin M; Dursun N; Bektas H; Mermut O; Yardimci VH; Kilickesmez O
Jpn J Radiol; 2023 Jan; 41(1):71-82. PubMed ID: 35962933
[TBL] [Abstract][Full Text] [Related]
23. The Role of 2D/3D Ultrasound to Assess the Response to Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer.
Perniola G; Tomao F; Graziano M; Palaia I; Fischetti M; Lecce F; Casorelli A; Di Donato V; Giancotti A; Battaglia FA; Muzii L; Benedetti Panici P
Oncology; 2020; 98(11):807-813. PubMed ID: 32892198
[TBL] [Abstract][Full Text] [Related]
24. Combined dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted imaging to predict neoadjuvant chemotherapy effect in FIGO stage IB2-IIA2 cervical cancers.
Zhang A; Song J; Ma Z; Chen T
Radiol Med; 2020 Dec; 125(12):1233-1242. PubMed ID: 32424659
[TBL] [Abstract][Full Text] [Related]
25. Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set.
Cain EH; Saha A; Harowicz MR; Marks JR; Marcom PK; Mazurowski MA
Breast Cancer Res Treat; 2019 Jan; 173(2):455-463. PubMed ID: 30328048
[TBL] [Abstract][Full Text] [Related]
26. Prediction of high-grade soft-tissue sarcoma using a combined intratumoural and peritumoural MRI-based radiomics nomogram.
Dou Y; Li X; Tao J; Dong Y; Xu N; Wang S
Clin Radiol; 2023 Dec; 78(12):e1032-e1040. PubMed ID: 37748959
[TBL] [Abstract][Full Text] [Related]
27. Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images.
Liu S; Zhou Y; Wang C; Shen J; Zheng Y
BMC Med Imaging; 2023 Aug; 23(1):101. PubMed ID: 37528338
[TBL] [Abstract][Full Text] [Related]
28. MRI-based delta-radiomics predicts pathologic complete response in high-grade soft-tissue sarcoma patients treated with neoadjuvant therapy.
Peeken JC; Asadpour R; Specht K; Chen EY; Klymenko O; Akinkuoroye V; Hippe DS; Spraker MB; Schaub SK; Dapper H; Knebel C; Mayr NA; Gersing AS; Woodruff HC; Lambin P; Nyflot MJ; Combs SE
Radiother Oncol; 2021 Nov; 164():73-82. PubMed ID: 34506832
[TBL] [Abstract][Full Text] [Related]
29. The MRI radiomics signature can predict the pathologic response to neoadjuvant chemotherapy in locally advanced esophageal squamous cell carcinoma.
Lu S; Wang C; Liu Y; Chu F; Jia Z; Zhang H; Wang Z; Lu Y; Wang S; Yang G; Qu J
Eur Radiol; 2024 Jan; 34(1):485-494. PubMed ID: 37540319
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. The value of diffusion-weighted magnetic resonance imaging in assessing the response of locally advanced cervical cancer to neoadjuvant chemotherapy.
Fu C; Bian D; Liu F; Feng X; Du W; Wang X
Int J Gynecol Cancer; 2012 Jul; 22(6):1037-43. PubMed ID: 22683941
[TBL] [Abstract][Full Text] [Related]
32. Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer.
Abdollahi H; Mofid B; Shiri I; Razzaghdoust A; Saadipoor A; Mahdavi A; Galandooz HM; Mahdavi SR
Radiol Med; 2019 Jun; 124(6):555-567. PubMed ID: 30607868
[TBL] [Abstract][Full Text] [Related]
33. Evaluation of Parametrial Status in Locally Advanced Cervical Cancer Patients after Neoadjuvant Chemotherapy: A Prospective Study on Diagnostic Accuracy of Three-Dimensional Transvaginal Ultrasound.
Perniola G; Fischetti M; Tomao F; Di Donato V; Palaia I; Santangelo G; Lecce F; Piccioni MG; Muzii L; Benedetti Panici P
Oncology; 2020; 98(9):603-611. PubMed ID: 32492692
[TBL] [Abstract][Full Text] [Related]
34. Predicting the response to neoadjuvant chemotherapy for breast cancer: wavelet transforming radiomics in MRI.
Zhou J; Lu J; Gao C; Zeng J; Zhou C; Lai X; Cai W; Xu M
BMC Cancer; 2020 Feb; 20(1):100. PubMed ID: 32024483
[TBL] [Abstract][Full Text] [Related]
35. The toxicity and long-term efficacy of nedaplatin and paclitaxel treatment as neoadjuvant chemotherapy for locally advanced cervical cancer.
Yin M; Zhang H; Li H; Li X; Liu Y; Chen X; Lou G; Li K
J Surg Oncol; 2012 Feb; 105(2):206-11. PubMed ID: 21815150
[TBL] [Abstract][Full Text] [Related]
36. Radiomics of MRI for the Prediction of the Pathological Response to Neoadjuvant Chemotherapy in Breast Cancer Patients: A Single Referral Centre Analysis.
Pesapane F; Rotili A; Botta F; Raimondi S; Bianchini L; Corso F; Ferrari F; Penco S; Nicosia L; Bozzini A; Pizzamiglio M; Origgi D; Cremonesi M; Cassano E
Cancers (Basel); 2021 Aug; 13(17):. PubMed ID: 34503081
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. Prediction of Response to Preoperative Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer Using Multicenter CT-Based Radiomic Analysis.
Tian X; Sun C; Liu Z; Li W; Duan H; Wang L; Fan H; Li M; Li P; Wang L; Liu P; Tian J; Chen C
Front Oncol; 2020; 10():77. PubMed ID: 32117732
[No Abstract] [Full Text] [Related]
39. Long-Term Clinical Benefits of Neoadjuvant Chemotherapy in Women With Locally Advanced Cervical Cancer: Validity of Pathological Response as Surrogate Endpoint of Survival.
Buda A; Lissoni AA; Floriani I; Biagioli E; Gerardi C; Bonazzi C; Chiari S; Locatelli L; Dell'Anna T; Signorelli M; Mangioni C; Milani R
Int J Gynecol Cancer; 2015 Oct; 25(8):1468-75. PubMed ID: 26222484
[TBL] [Abstract][Full Text] [Related]
40. Pretreatment serum lactate dehydrogenase is an independent prognostic factor for patients receiving neoadjuvant chemotherapy for locally advanced cervical cancer.
Li J; Wu MF; Lu HW; Chen Q; Lin ZQ; Wang LJ
Cancer Med; 2016 Aug; 5(8):1863-72. PubMed ID: 27350066
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]