Apparent diffusion coefficient as a non-invasive predictor of treatment response and recurrence in locally advanced rectal cancer

Elmi, Azadeh; Hedgire, Sandeep; Covarrubias, Diego A.; Abtahi, Sayyed Mahdi; Hahn, Peter F.; Harisinghani, Mukesh G.

doi:10.1016/j.crad.2013.05.094

Cited by 50 publications

(34 citation statements)

References 26 publications

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“…Furthermore, integrated PET/MRI provides the basis for a simultaneous acquisition of MRI and PET-derived functional parameters [11]. Although the standardized uptake value (SUV) and apparent diffusion coefficient (ADC) reflect different aspects of tumor biology, both parameters have been proven useful for treatment monitoring, as well as the prediction of tumor recurrences and clinical outcome [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Integrated PET/MRI for whole-body staging of patients with primary cervical cancer: preliminary results

Grueneisen

Schaarschmidt

Heubner

et al. 2015

Eur J Nucl Med Mol Imaging

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Section: Introductionmentioning

confidence: 99%

Integrated PET/MRI for whole-body staging of patients with primary cervical cancer: preliminary results

Grueneisen

Schaarschmidt

Heubner

et al. 2015

Eur J Nucl Med Mol Imaging

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“…An increase of ADC had a high positive predictive value for pCR (11,15). During treatment, the mean percentage of ADC increase was significantly greater in the responders than nonresponders (p < 0.0001) and a > 23% ADC increase had a negative predictive value of 96.3% for TRG4 (18). For dynamic observation ∆ADC during (ΔADC-during) and after CRT (ΔADC-post) showed a significantly higher value in patients Table 1.…”

Section: Magnetic Resonance Imaging (Mri)mentioning

confidence: 98%

“…Sun et al (10) Intven et al (11) Lambrecht et al (12) Barbaro et al (13) Kim et al (14) Genovesi et al (15) Kim et al (16) Monguzzi et al (17) Elmi et al (18) No. …”

Section: Refunclassified

“…The ADC is related to tissue cellularity, tissue organization, extracellular space tortuosity, tumor proliferation, tumor grade, and tumor necrosis (9)(10)(11). With respect to ADC as a quantitative biomarker in rectal cancer, several investigations have reported promising results for the prediction and monitoring of therapeutic responses (10)(11)(12)(13)(14)(15)(16)(17)(18) (Table 1).…”

Section: Magnetic Resonance Imaging (Mri)mentioning

confidence: 99%

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Prediction of response to preoperative chemoradiotherapy in patients with locally advanced rectal cancer

Meng

Huang

Wang

et al. 2014

BST

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“…The apparent diffusion coefficient (ADC) allows for quantification of diffusivity, which is shown to be restricted in the majority of malignancies due to higher cellularity compared to surrounding tissue. The measurable data obtained by DWI can give opinion about the nature of the lesions in various parts of the body and help to characterize them without using intravenous contrast medium (6).…”

Section: Introductionmentioning

confidence: 99%

The utility of diffusion-weighted imaging in differentiation of papillary and clear cell subtypes of renal cell carcinoma

Er¹,

Peker²,

Erden³

et al. 2015

Acta Oncol Tur.

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ÖZETAmaç: Bu çalışmadaki amacımız, papiller tip ile şeffaf hücreli renal hücreli kanser alt tiplerini ayırt etmede difüzyon ağırlıklı görüntülemenin yararlılığını belirlemektir. Yöntem: Papiller tip ve şeffaf hücreli tip renal kanseri olan toplam 16 olgu retrospektif olarak değerlenmiştir. İnceleme 3 Tesla alan gücüne sahip manyetik rezonans cihazında gerçekleştirilmiştir. Renal kitle konturları T2 ağırlıklı görüntülerden de faydalanılarak sınırlanmış ve kistik-nekrotik dejenerasyon alanları dışarıda kalacak şekilde elle çizilen ilgi alanı (freehand ROI) kullanılarak kitlelerin solid komponentlerinin b=50 sn/mm 2 ve b=1000 sn/mm 2 DAG'lerde görünür difüzyon katsayı (apparent diffusion coefficient =ADC) değerleri ve ortalama sinyal intensite (SI) değerleri ile böbreğin normal parankiminin ortalama sinyal intensite (SI) değerleri ölçülmüştür. Normal parankimin sinyal intensite değerlerinin ölçümü için ROI kortikomedüller bileşkeye yerleştirilmiştir. Bulgular: Ortalama ADC değeri papiller RHK' larda (0.991 ± 0.143×10ˉ³ mm²/sn) şeffaf hücreli RHK'lardan istatistiksel olarak anlamlı derecede düşüktü (1.296 ±.0.277 × 10ˉ³ mm²/sn) (p<0.05). Ayrıca papiller RHK grubunda, b=1000 sn/mm 2 DAG'lerde ölçülen ortalama SI değerleri (22.8 ± 6.3), normal parankimden (43.4± 14.8) ; şeffaf hücreli RHK grubunda b=50 sn/mm 2 DAG'lerde ölçülen ortalama SI değerleri (102± 27.5), normal parankimden (138.8 ± 33) istatistiksel olarak farklıydı (p<0.05). Sonuç: Papiller ve şeffaf hücreli kanser subtiplerinin ayırt edilebilmesinde difüzyon ağırlıklı görüntüleme faydalı bir yöntem olabilir. Papiller hücreli kanserlerin sınırları, b=1000 sn/mm2; şeffaf hücreli kanserlerin sınırları ise b=50 sn/mm2 DAG'lerde daha net olarak seçilebilmektedir. Bulgularımızın desteklenmesi için daha geniş hasta serisini kapsayan çalışmalara gereksinim vardır. Anahtar Kelimeler: Renal hücreli kanser; magnetik rezonans görüntüleme; difüzyon ağırlıklı görüntüleme; görünür difüzyon katsayısı. ABSTRACT Objectıve:To determine the utility of diffusion-weighted imaging (DWI) in differentiation of papillary and clear cell subtypes of renal cell carcinoma (RCC). Methods: A total of 16 patients with papillary RCC and clear cell RCC were enrolled in this retrospective study. Patients underwent MRI with a 3.0-Tesla wholebody system (MAGNETOM Verio, Siemens, Erlangen, Germany) using a standard body matrix coil. Apparent diffusion coefficient (ADC) values and signal intensity (SI) values at b=50 s/mm2 b=1000 s/mm2 DWI of solid components of the renal masses and SI values of normal renal parenchyma were measured. A freehand ROI was drawn around the peripheral margin of the tumor on the diffusion images excluding the cystic or necrotic portions, while referring to the T2-weighted conventional images for verification of lesion boundaries. To measure SI values of normal renal parenchyma, ROIs were placed on the normal corticomedullary junction. Results: Mean ADC value was statistically significantly lower in papillary RCC (0.991 ± 0.143×10ˉ³ mm²/s) than in that of clear cell RCC ...

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Apparent diffusion coefficient as a non-invasive predictor of treatment response and recurrence in locally advanced rectal cancer

Cited by 50 publications

References 26 publications

Integrated PET/MRI for whole-body staging of patients with primary cervical cancer: preliminary results

Integrated PET/MRI for whole-body staging of patients with primary cervical cancer: preliminary results

Prediction of response to preoperative chemoradiotherapy in patients with locally advanced rectal cancer

The utility of diffusion-weighted imaging in differentiation of papillary and clear cell subtypes of renal cell carcinoma

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