Comments on Study of “Performance of 18F-DCFPyL PET/CT in Primary Prostate Cancer Diagnosis, Gleason Grading and D'Amico Classification: A Radiomics-Based Study”-Reference-Cited by-同舟云学术

Comments on Study of “Performance of 18F-DCFPyL PET/CT in Primary Prostate Cancer Diagnosis, Gleason Grading and D'Amico Classification: A Radiomics-Based Study”

Published:2023-12 Issue:6 Volume:3 Page:639-641
ISSN:2730-583X
Container-title:Phenomics
language:en
Short-container-title:Phenomics

Author:

Kreissl Michael C.^ORCID

Funder

Otto-von-Guericke-Universität Magdeburg

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s43657-023-00143-9.pdf

Reference6 articles.

1. Hsieh PF, Chang TY, Lin WC, Chang H, Chang CH, Huang CP, Yang CR, Chen WC, Chang YH, Wang YD, Huang WC, Wu HC (2022) A comparative study of transperineal software-assisted magnetic resonance/ultrasound fusion biopsy and transrectal cognitive fusion biopsy of the prostate. BMC Urol 22(1):72. https://doi.org/10.1186/s12894-022-01011-w

2. Lambin P, Leijenaar RTH, Deist TM, Peerlings J, de Jong EEC, van Timmeren J, Sanduleanu S, Larue R, Even AJG, Jochems A, van Wijk Y, Woodruff H, van Soest J, Lustberg T, Roelofs E, van Elmpt W, Dekker A, Mottaghy FM, Wildberger JE, Walsh S (2017) Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol 14(12):749–762. https://doi.org/10.1038/nrclinonc.2017.141

3. Obek C, Doganca T, Demirci E, Ocak M, Kural AR, Yildirim A, Yucetas U, Demirdag C, Erdogan SM, Kabasakal L (2017) Members of urooncology association the accuracy of (68)Ga-PSMA PET/CT in primary lymph node staging in high-risk prostate cancer. Eur J Nucl Med Mol Imaging 44(11):1806–1812. https://doi.org/10.1007/s00259-017-3752-y

4. Papp L, Spielvogel CP, Grubmuller B, Grahovac M, Krajnc D, Ecsedi B, Sareshgi RAM, Mohamad D, Hamboeck M, Rausch I, Mitterhauser M, Wadsak W, Haug AR, Kenner L, Mazal P, Susani M, Hartenbach S, Baltzer P, Helbich TH, Kramer G, Shariat SF, Beyer T, Hartenbach M, Hacker M (2021) Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [(68)Ga]Ga-PSMA-11 PET/MRI. Eur J Nucl Med Mol Imaging 48(6):1795–1805. https://doi.org/10.1007/s00259-020-05140-y

5. Perandini S, Soardi GA, Motton M, Augelli R, Dallaserra C, Puntel G, Rossi A, Sala G, Signorini M, Spezia L, Zamboni F, Montemezzi S (2016) Enhanced characterization of solid solitary pulmonary nodules with Bayesian analysis-based computer-aided diagnosis. World J Radiol 8(8):729–734. https://doi.org/10.4329/wjr.v8.i8.729