Apparent diffusion coefficient (ADC) values of serous, endometrioid, and clear cell carcinoma of the ovary: pathological correlation

Background Primary epithelial ovarian cancer is divided into several subtypes. The relationships between apparent diffusion coefficient (ADC) values and their subtypes have not yet been established. Purpose To investigate whether ADC values of epithelial ovarian cancer vary according to histologic tumor cellularity and evaluate the difference of clear cell carcinoma (CCC), high-grade serous carcinoma (HGSC), and endometrioid carcinoma (EC). Material and Methods This retrospective study included 51 cases of epithelial ovarian cancer (17 CCC, 20 HGSC, and 14 EC) identified by magnetic resonance imaging with pathological confirmation. All patients underwent diffusion-weighted imaging and the ADC values of lesions were measured. We counted the tumor cells in three high-power fields and calculated the average for each case. The Spearman’s correlation coefficient test was used to analyze correlation between ADC values and tumor cellularity. The ADC values of HGSC, EC, and CCC were compared using the Steel–Dwass test. Results The ADC values of all cases were significantly inversely correlated with tumor cellularity ( rs = −0.761; P < 0.001). The mean ± SD ADC values (×10−3 mm2/s) of CCC, HGSC, and EC were 1.24 ± 0.17 (range 0.98--1.65), 0.84 ± 0.10 (range 0.67--1.06), and 0.84 ± 0.10 (range 0.67--1.07). The mean ± SD tumor cellularity of CCC, HGSC, and EC was 162.88 ± 63.28 (range 90.33--305.67), 440.60 ± 119.86 (range 204.67--655.67), and 461.02 ± 81.86 (range 333.33--602.33). Conclusion There is a significant inverse correlation between ADC values and tumor cellularity in epithelial ovarian cancer. The mean ADC value of CCC was higher than those of HGSC and EC, seemingly due to the low cellularity of CCC.

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FS-C4BP (fully-sialylated alpha-chain of complement 4-binding protein) is a novel biomarker that can detect early stage epithelial ovarian cancer, especially clear cell carcinoma

10.26226/morressier.5770e29dd462b80290b4c232 ◽

2016 ◽

Author(s):

Masae Ikeda

Keyword(s):

Ovarian Cancer ◽

Epithelial Ovarian Cancer ◽

Cell Carcinoma ◽

Clear Cell ◽

Clear Cell Carcinoma ◽

Early Stage ◽

Binding Protein ◽

Alpha Chain ◽

Complement 4

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Diagnostic value of apparent diffusion coefficient in differentiating between high-grade gliomas and brain metastases

Acta Radiologica ◽

10.1177/0284185117727787 ◽

2017 ◽

Vol 59 (5) ◽

pp. 599-605 ◽

Cited By ~ 15

Author(s):

Ionut Caravan ◽

Cristiana Augusta Ciortea ◽

Alexandra Contis ◽

Andrei Lebovici

Keyword(s):

Diffusion Coefficient ◽

Brain Metastases ◽

Apparent Diffusion Coefficient ◽

Curve Analysis ◽

High Grade ◽

Peritumoral Edema ◽

Roc Curve Analysis ◽

Apparent Diffusion ◽

Adc Values ◽

The Mean

Background High-grade gliomas (HGGs) and brain metastases (BMs) can display similar imaging characteristics on conventional MRI. In HGGs, the peritumoral edema may be infiltrated by the malignant cells, which was not observed in BMs. Purpose To determine whether the apparent diffusion coefficient values could differentiate HGGs from BMs. Material and Methods Fifty-seven patients underwent conventional magnetic resonance imaging (MRI) and diffusion-weighted imaging (DWI) before treatment. The minimum and mean ADC in the enhancing tumor (ADCmin, ADCmean) and the minimum ADC in the peritumoral region (ADCedema) were measured from ADC maps. To determine whether there was a statistical difference between groups, ADC values were compared. A receiver operating characteristic (ROC) curve analysis was used to determine the cutoff ADC value for distinguishing between HGGs and BMs. Results The mean ADCmin values in the intratumoral regions of HGGs were significantly higher than those in BMs. No differences were observed between groups regarding ADCmean values. The mean ADCmin values in the peritumoral edema of HGGs were significantly lower than those in BMs. According to ROC curve analysis, a cutoff value of 1.332 × 10−3 mm2/s for the ADCedema generated the best combination of sensitivity (95%) and specificity (84%) for distinguishing between HGGs and BMs. The same value showed a sensitivity of 95.6% and a specificity of 100% for distinguishing between GBMs and BMs. Conclusion ADC values from DWI were found to distinguish between HGGs and solitary BMs. The peritumoral ADC values are better than the intratumoral ADC values in predicting the tumor type.

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Particularities of application of the apparent diffusion coefficient of the diffusion-weighted MRI in diagnostics of the clear cell renal cell carcinoma with different Fuhrman pat

Experimental and Clinical Physiology and Biochemistry ◽

10.25040/ecpb2015.02.106 ◽

2015 ◽

Vol 2015 (2) ◽

pp. 106-110

Author(s):

Yu. MYTSYK ◽

◽

I. DUTKA ◽

Yu. BORYS ◽

I. DATZ ◽

...

Keyword(s):

Renal Cell Carcinoma ◽

Diffusion Coefficient ◽

Apparent Diffusion Coefficient ◽

Cell Carcinoma ◽

Renal Cell ◽

Clear Cell ◽

Diffusion Weighted Mri ◽

Cell Renal Cell Carcinoma ◽

Diffusion Weighted ◽

Apparent Diffusion

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Diffusion-weighted MRI in Advanced Epithelial Ovarian Cancer: Apparent Diffusion Coefficient as a Response Marker

Radiology ◽

10.1148/radiol.2019190545 ◽

2019 ◽

Vol 293 (2) ◽

pp. 374-383 ◽

Cited By ~ 2

Author(s):

Jessica M. Winfield ◽

Jennifer C. Wakefield ◽

David Dolling ◽

Marcia Hall ◽

Susan Freeman ◽

...

Keyword(s):

Ovarian Cancer ◽

Diffusion Coefficient ◽

Apparent Diffusion Coefficient ◽

Epithelial Ovarian Cancer ◽

Diffusion Weighted Mri ◽

Diffusion Weighted ◽

Apparent Diffusion ◽

Advanced Epithelial Ovarian Cancer

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An evaluation of survival of ovarian cancer patients with clear cell carcinoma versus serous carcinoma treated with platinum therapy: A Gynecologic Oncology Group experience.

Journal of Clinical Oncology ◽

10.1200/jco.2013.31.15_suppl.5534 ◽

2013 ◽

Vol 31 (15_suppl) ◽

pp. 5534-5534 ◽

Cited By ~ 1

Author(s):

John H. Farley ◽

William E. Brady ◽

Michael J. Birrer ◽

David Marc Gershenson ◽

Gini F. Fleming ◽

...

Keyword(s):

Ovarian Cancer ◽

Prognostic Factors ◽

Epithelial Ovarian Cancer ◽

Cell Carcinoma ◽

Treatment Effect ◽

Late Stage ◽

Clear Cell ◽

Clear Cell Carcinoma ◽

Early Stage ◽

Performance Status

5534 Background: We examined disparities in prognosis between patients with ovarian clear cell carcinoma (OCCC) and serous epithelial ovarian cancer (SOC). Methods: Data from stage I-IV epithelial ovarian cancer (EOC) patients who participated in 12 randomized GOG protocols using platinum-based chemotherapy were reviewed. Proportional hazards models adjusted for age and stratified by protocol, treatment arm, stage, performance status (PS), and race were used to compare progression-free survival (PFS) and overall survival (OS) by cell type (clear cell versus serous). Results: There were 10,803 patients enrolled, 1272 were not eligible: leaving 9,531, of whom 544 (6%) had OCCC, 7,054 (74%) had SOC, and 1,933 (20%) had other; only the OCCC and SOC are considered here. OCCC were significantly younger, more often of Asian race, stage I, good PS, and optimally surgically debulked than SOC patients. Prior to adjustment, OCCC had better PFS and OS due to better prognostic factors. There was no significant difference in PFS or OS for early stage OCCC patients compared to high-grade (HG) SOC patients. For late stage patients, OCCC had poorer PFS and OS compared to SOC, OS HR= 1.66 (1.43, 1.91; p < 0.001). For both optimal, HR = 1.34 (1.10, 1.63; p = 0.003) and suboptimal, HR = 3.18 (2.13, 4.75; p < 0.001) OCCC had a significantly poorer OS than SOC. After adjusting for age and stratified by protocol and treatment arm, stage, performance status, and race, OCCC had a significantly decreased OS, HR= 1.53 (1.33,1.76; p < 0.001). In early stage cases, there was a significantly decreased treatment effect on PFS for consolidative therapy with weekly taxol versus observation in SOC compared to OCCC (p = 0.048). Conclusions: This is one of the largest analyses to date of OCCC treated in a uniform manner . OCCC patients have better PFS and OS compared to SOC; this, is due to their better prognostic factors. There was no observed difference in PFS or OS for early stage OCCC versus HGSOC. In late-stage patients, OCCC was significantly associated with decreased OS which was true for both optimal and suboptimally debulked patients. Finally, treatment effect was influenced by histology.

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Differentiation of prostate cancer and stromal hyperplasia in the transition zone with histogram analysis of the apparent diffusion coefficient

Acta Radiologica ◽

10.1177/0284185117698861 ◽

2017 ◽

Vol 58 (12) ◽

pp. 1528-1534 ◽

Cited By ~ 4

Author(s):

Liu Xiaohang ◽

Zhou Bingni ◽

Zhou Liangping ◽

Peng Weijun ◽

Yang Xiaoqun ◽

...

Keyword(s):

Prostate Cancer ◽

Diffusion Coefficient ◽

Apparent Diffusion Coefficient ◽

Transition Zone ◽

B Value ◽

Histogram Analysis ◽

Apparent Diffusion ◽

Adc Values ◽

The Mean ◽

Magnetic Resonance Imaging Mri

Background Prostate cancer and stromal hyperplasia (SH) in the transition zone (TZ) are difficult to discriminate by conventional magnetic resonance imaging (MRI) and diffusion-weighted imaging (DWI). Purpose To investigate the apparent diffusion coefficient (ADC) of prostate cancer and SH in the TZ with histogram analysis and the ability of ADC metrics to differentiate between these two tissues. Material and Methods Thirty-three cancer and 29 SH lesions in the TZ of 54 patients undergoing preoperative DWI (b-value 0, 1000 s/mm2) were analyzed. All the lesions on the MR images were localized based on histopathologic correlations. The 10th, 25th, and 50th percentiles, and the mean ADC values were calculated for the two tissues and compared. The efficiencies of the 10th, 25th, and 50th ADC percentiles in differentiating the two tissues were compared with that of the mean ADC with receiver operating characteristic (ROC) analysis. Results The 10th, 25th, and 50th percentiles and mean ADC values (×10−3 mm2/s) were 0.86 ± 0.15, 0.89 ± 0.16, 0.94 ± 0.16, and 1.03 ± 0.17 in SH and 0.64 ± 0.12, 0.69 ± 0.12, 0.72 ± 0.16, and 0.83 ± 0.15 in TZ cancer, respectively. The parameters were all significantly lower in cancer than SH. The 10th ADC percentile yielded an area under the ROC curve (AUC) of 0.87 for the differentiation of carcinomas from SH, which was higher than the mean ADC (0.80) ( P < 0.05), and the AUCs of the 25th (0.82) and 50th (0.83) percentiles exhibited no differences from those of the mean ADC ( P > 0.05). Conclusion Histogram analysis of ADC values may potentially improve the differentiation of prostate cancer from SH in the TZ.

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