Evidence map›Paper›PMID 24022845›Full record

ArticleInternational urology and nephrology2014

Apparent diffusion coefficient value as a biomarker reflecting morphological and biological features of prostate cancer.

Hyeyeol Bae, Soichiro Yoshida, Yoh Matsuoka, Hiroshi Nakajima, Eisaku Ito, Hiroshi Tanaka, Miyako Oya, Takayuki Nakayama, Hideki Takeshita, Toshiki Kijima and 7 more

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Article in International urology and nephrology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

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0cells of the map it votes in
20citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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  11. Giant Cell Tumors of the Bone: Changes in Image Features after Denosumab Administration.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2018
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4 · The record

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5 · Who and what money

Authors and funding

17 authors.

Hyeyeol Bae
Soichiro Yoshida
Yoh Matsuoka
Hiroshi Nakajima
Eisaku Ito
Hiroshi Tanaka
Miyako Oya
Takayuki Nakayama
Hideki Takeshita
Toshiki Kijima
Junichiro Ishioka
Noboru Numao
Fumitaka Koga
Kazutaka Saito
Takumi Akashi
Yasuhisa Fujii
Kazunori Kihara

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess whether there is an association between the apparent diffusion coefficient (ADC) value and the pathological characteristics of prostate cancer.

methodsThe study cohort consisted of 29 consecutive patients with prostate cancer treated with radical prostatectomy. All patients underwent diffusion-weighted MRI before the prostate biopsy. In 42 tumor foci, the associations of the ADC values with the clinicopathological characteristics and Ki-67 labeling index (LI) were analyzed.

resultsHigh-grade cancers (Gleason score [GS] ≥ 4 + 3), larger cancers (maximum diameter (MD) ≥ 16 mm), and highly proliferating cancers (Ki-67 LI ≥ 4.43 %) had significantly lower ADC values, respectively (P < .001, P = .008, and P = .044, respectively). There was no significant difference in ADC value according to age, prostate-specific antigen, presence of extra-prostatic extension, and intra-tumoral stroma proportion. Multivariate analysis showed that GS, Ki-67 LI, and MD had independent and significant correlations with ADC value (P < .001, P = .006, and P = .002, respectively). Low ADC tumors (<0.52 × 10(-3) mm(2)/s) are likely to be high-grade cancer foci compared with high ADC tumors (relative risk: 65.2). The sensitivity and specificity of the ADC value to predict high-grade cancer foci are 81.8 and 93.5 %, respectively.

conclusionsA low ADC value reflects the morphological and biological features of prostate cancer. Analyzing the ADC value may make it possible to more precisely predict the cancer aggressiveness of each focus before treatment.

Indexed as

Diffusion Magnetic Resonance ImagingAgedBiomarkers, TumorHumansKi-67 AntigenMaleMiddle AgedProstatectomyProstatic NeoplasmsRetrospective StudiesBiomarkers, TumorKi-67 Antigen

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.