Adam T Froemming
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Explore the profile of Adam T Froemming including associated specialties, affiliations and a list of published articles.
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71
Citations
942
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Recent Articles
1.
Nakai H, Takahashi H, LeGout J, Kawashima A, Froemming A, Klug J, et al.
J Comput Assist Tomogr
. 2025 Jan;
PMID: 39761466
Objectives: The aims of the study are to develop a prostate cancer risk prediction model that combines clinical and magnetic resonance imaging (MRI)-related findings and to assess the impact of...
2.
Nakai H, Takahashi H, LeGout J, Kawashima A, Froemming A, Lomas D, et al.
Insights Imaging
. 2024 Nov;
15(1):271.
PMID: 39546181
Purpose: To assess the diagnostic performance of prostate MRI by estimating the proportion of clinically significant prostate cancer (csPCa) in patients without prostate pathology. Materials And Methods: This three-center retrospective...
3.
Riederer S, Borisch E, Du Q, Froemming A, Hulshizer T, Kawashima A, et al.
Magn Reson Med
. 2024 Sep;
93(2):850-863.
PMID: 39322985
Purpose: To study if adaptive image receive (AIR) receiver coil elements can be configured into a 2D array with high (>45% by diameter) element-to-element overlap, allowing improved SNR at depth...
4.
Cai J, Nakai H, Kuanar S, Froemming A, Bolan C, Kawashima A, et al.
Radiology
. 2024 Aug;
312(2):e232635.
PMID: 39105640
Background Multiparametric MRI can help identify clinically significant prostate cancer (csPCa) (Gleason score ≥7) but is limited by reader experience and interobserver variability. In contrast, deep learning (DL) produces deterministic...
5.
Nakai H, Suman G, Adamo D, Navin P, Bookwalter C, LeGout J, et al.
Eur Radiol
. 2024 Jun;
34(12):7878-7891.
PMID: 38842692
Objectives: To develop an automated pipeline for extracting prostate cancer-related information from clinical notes. Materials And Methods: This retrospective study included 23,225 patients who underwent prostate MRI between 2017 and...
6.
Kirby J, Horst K, Boyum J, Thiels C, Froemming A, Khandelwal A
Radiographics
. 2024 Apr;
44(5):e230161.
PMID: 38662589
No abstract available.
7.
Riederer S, Borisch E, Froemming A, Kawashima A, Takahashi N
Abdom Radiol (NY)
. 2024 Mar;
49(8):2921-2931.
PMID: 38520510
Purpose: To compare a previous model-based image reconstruction (MBIR) with a newly developed deep learning (DL)-based image reconstruction for providing improved signal-to-noise ratio (SNR) in high through-plane resolution (1 mm)...
8.
Nakai H, Takahashi H, Adamo D, LeGout J, Kawashima A, Thomas J, et al.
Eur Radiol
. 2023 Oct;
34(5):3387-3399.
PMID: 37889268
Objectives: To evaluate the impact of susceptibility artifacts from hip prosthesis on cancer detection rate (CDR) in prostate MRI. Materials And Methods: This three-center retrospective study included prostate MRI studies...
9.
Nakai H, Nagayama H, Takahashi H, Froemming A, Kawashima A, Bolan C, et al.
J Am Coll Radiol
. 2023 Oct;
21(3):387-397.
PMID: 37838189
Purpose: The aim of this study was to evaluate the utility of cancer detection rate (CDR) and abnormal interpretation rate (AIR) in prostate MRI for patients with low-grade prostate cancer...
10.
Nagayama H, Nakai H, Takahashi H, Froemming A, Kawashima A, Bolan C, et al.
J Am Coll Radiol
. 2023 Oct;
21(3):398-408.
PMID: 37820833
Purpose: To report cancer detection rate (CDR) and abnormal interpretation rate (AIR) in prostate MRI performed for clinical suspicion of prostate cancer (PCa). Materials And Methods: This retrospective single-institution, three-center...