Combining the Tumor Contact Length and Apparent Diffusion Coefficient Better Predicts Extraprostatic Extension of Prostate Cancer with Capsular Abutment: A 3 Tesla MR Imaging Study

Ito, Koichi; Chiba, Emiko; Oyama‐Manabe, Noriko; Washino, Satoshi; Manabe, Osamu; Miyagawa, Tomoaki; Hamamoto, Kohei; Hiruta, Masahiro; Tanno, Keisuke; Shinmoto, Hiroshi

doi:10.2463/mrms.mp.2020-0182

Cited by 2 publications

(3 citation statements)

References 22 publications

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“…Granja et al predicted EPE using ADC and obtained a sensitivity of 83% with a specificity of 61% at the cutoff value of 0.87×10−3 mm2/s (28). While Ito et al reported a sensitivity of 84.2% and a specificity of 59.0% at the cutoff value of 0.63×10-3 mm2/s (29). The reported sensitivity and specificity in above mentioned studies were similar to our results.…”

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confidence: 90%

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Amide proton transfer imaging has added value for predicting extraprostatic extension in prostate cancer patients

Qin,

Lv,

Zhang

et al. 2024

Front. Oncol.

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BackgroundProstate cancer invades the capsule is a key factor in selecting appropriate treatment methods. Accurate preoperative prediction of extraprostatic extension (EPE) can help achieve precise selection of treatment plans.PurposeThe aim of this study is to verify the diagnostic efficacy of tumor size, length of capsular contact (LCC), apparent diffusion coefficient (ADC), and Amide proton transfer (APT) value in predicting EPE. Additionally, the study aims to investigate the potential additional value of APT for predicting EPE.MethodThis study include 47 tumor organ confined patients (age, 64.16 ± 9.18) and 50 EPE patients (age, 61.51 ± 8.82). The difference of tumor size, LCC, ADC and APT value between groups were compared. Binary logistic regression was used to screen the EPE predictors. The receiver operator characteristic curve analysis was performed to assess the diagnostic performance of variables for predicting EPE. The diagnostic efficacy of combined models (model I: ADC+LCC+tumor size; model II: APT+LCC+tumor size; and model III: APT +ADC+LCC+tumor size) were also analyzed.ResultsAPT, ADC, tumor size and the LCC were independent predictors of EPE. The area under the curve (AUC) of APT, ADC, tumor size and the LCC were 0.752, 0.665, 0.700 and 0.756, respectively. The AUC of model I, model II, and model III were 0.803, 0.845 and 0.869, respectively. The cutoff value of APT, ADC, tumor size and the LCC were 3.65%, 0.97×10−3mm2/s, 17.30mm and 10.78mm, respectively. The sensitivity/specificity of APT, ADC, tumor size and the LCC were 76%/89.4.0%, 80%/59.6%, 54%/78.9%, 72%/66%, respectively. The sensitivity/specificity of model I, Model II and Model III were 74%/72.3%, 82%/72.5% and 84%/80.9%, respectively.Data conclusionAmide proton transfer imaging has added value for predicting EPE. The combination model of APT balanced the sensitivity and specificity.

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confidence: 90%

“…Ito et al reported that the combination of LCC and ADC cutoff values yielded an area under the curve (AUC) of 0.82. Their specificity (84.6%) and accuracy (81.0%) of the combined values were superior to their individual values (29). In our current study, the combination of ADC with LCC and tumor size (Model I) yielded an AUC of 0.803.…”

mentioning

confidence: 50%

Amide proton transfer imaging has added value for predicting extraprostatic extension in prostate cancer patients

Qin,

Lv,

Zhang

et al. 2024

Front. Oncol.

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“…Conversely, benign tumors have relatively low cell density and a large tissue gap, so the free diffusion movement of water molecules is relatively free, manifested by a high apparent diffusion coefficient. The apparent diffusion coefficient has been confirmed to have high value in identifying various malignant tumors (16)(17)(18)(19). Zheng et al found that the apparent diffusion coefficient had a high predictive value for the response to chemotherapy in gastrointestinal cancer patients with liver metastases (20).…”

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Apparent diffusion coefficient is a good marker in predicting the prognosis in colorectal cancer liver metastases: a diagnostic study

Zheng¹,

Lu²,

Zhang³

et al. 2022

J Gastrointest Oncol

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Background: Colorectal cancer (CRC) is one of the most common malignant tumors. Up to 10% CRC patients can have liver metastases at the first diagnosis. At present, clinical diagnosis of CRC liver metastasis (CRCLM) is mostly based on imaging, and there is a certain false-positive rate and false-negative rate.Improving the diagnostic accuracy of imaging for CRCLM is highly significant. Apparent diffusion coefficients showed high predicting value in other cancers. The aim of the present study was to explore the diagnostic value of apparent diffusion coefficients based on magnetic resonance diffusion weighted imaging for CRCLM.Methods: Fifty patients with CRCLM admitted to Hebei Yanda Hospital from January 2018 to December 2018 were retrospectively collected, and the data of 50 patients with benign liver nodules were collected at the same time. The diagnostic value of apparent diffusion coefficients on liver metastatic cancer was analyzed using receiver operating characteristic curve. The correlation between apparent diffusion coefficients and clinical pathological features of patients with CRCLM was also analyzed. The diagnosis of liver metastatic cancer was based on pathological biopsy. Three-year follow up after surgery was conducted in clinic or via phone.Results: Compared with the benign liver nodule group, the apparent diffusion coefficients of patients in the CRCLM group were significantly decreased [(1.14±0.26 vs. 2.06±0.57)×10−3 mm 2 /s, P<0.001]. The apparent diffusion coefficient was of high value in differentiating between benign liver nodules and liver metastatic cancer. The area under the curve was 0.927 [95% confidence interval (CI): 0.879-0.975, P<0.001]. Compared with patients with highly differentiated tumors, the apparent diffusion coefficients of patients with moderately and poorly differentiated tumors were significantly reduced [(1.08±0.26 vs. 1.29±0.22)×10−3 mm 2 /s, P=0.010]. Compared with patients who survived 3 years after operation, the apparent diffusion coefficients of patients who died were significantly lower [(1.05±0.26 vs. 1.23±0.23)×10−3 mm 2 /s, P=0.011]. The apparent diffusion coefficients of liver nodules in patients with CRCLM is a good marker in predicting postoperative 3-year survival, and the area under the curve was 0.728 (95% CI: 0.580-0.876, P=0.006). Conclusions:The apparent diffusion coefficient can sever as a marker in diagnosing CRCLM and predicting prognosis.

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Combining the Tumor Contact Length and Apparent Diffusion Coefficient Better Predicts Extraprostatic Extension of Prostate Cancer with Capsular Abutment: A 3 Tesla MR Imaging Study

Cited by 2 publications

References 22 publications

Amide proton transfer imaging has added value for predicting extraprostatic extension in prostate cancer patients

Amide proton transfer imaging has added value for predicting extraprostatic extension in prostate cancer patients

Apparent diffusion coefficient is a good marker in predicting the prognosis in colorectal cancer liver metastases: a diagnostic study

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