Recommandations françaises du Comité de cancérologie de l’AFU – actualisation 2020–2022 : prise en charge du cancer du rein

Bensalah, Karim; Bigot, Pierre; Albigès, Laurence; Bernhard, Jean Christophe; Bodin, Thomas; Boissier, R.; Corréas, Jean-Michel; Gimel, P.; Hetet, Jean François; Long, Jean-Alexandre; Nouhaud, F.; Ouzaïd, I.; Rioux‐Leclercq, Nathalie; Méjean, Arnaud

doi:10.1016/s1166-7087(20)30749-1

Cited by 21 publications

(23 citation statements)

References 245 publications

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“…This corroborates with the data published in most African series [4][5][6][7][8]. In Europe, age and sex are two non-modifiable risk factors, with a sex ratio of 1.5 and the peak incidence is between 60 to 70 years old age [1,9]. In our study the sex ratio (M/F) was 0.92 in favor of women.…”

Section: Epidemiologysupporting

confidence: 93%

“…Adult kidney cancer ranks third among urological cancers after prostate and bladder cancers [1][2][3]. It is the 12 th commonest malignant tumor in the world [2].…”

Section: Introductionmentioning

confidence: 99%

“…Few publications have been reported in sub-Saharan Africa where this cancer is often discovered late in a locally advanced or metastatic stage [4][5][6][7][8]. Renal cell carcinoma is the most common renal tumor in adults, representing 80 to 85% of renal tumors [1]. The objective of this work is to describe the epidemiological, diagnostic, therapeutic characteristics and monitoring of patients with kidney cancer seen in hospitals in the Thies region.…”

Section: Introductionmentioning

confidence: 99%

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Adult Kidney Cancer in the Thies Region: Epidemiological, Diagnostic and Therapeutic Aspects

2023

J Urol Ren Dis

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To study the epidemiological, diagnostic, and therapeutic characteristics and the monitoring of patients with kidney cancer seen in hospitals in the Thies region.Patients and methods: We conducted a retrospective descriptive study over a period of seven years (2015)(2016)(2017)(2018)(2019)(2020)(2021) collecting data on all cases of adult kidney cancer managed at the urology-andrology departments in the Thies region. Results:We included 35 cases of adult kidney cancer. The average age of the patients was 53.3+/-30.7 years (Range: 19 to 84 years). We noted a slight female predominance (51.43%) and noted at least one risk factor for kidney cancer in 14 patients (40%). Hematuria (65.7%), lower back pain (54.3%) and lumbar mass (51.4%) were the main circumstances of discovery. All patients had an ultrasound and a uro CT-Scan. Tumor location was right kidney in 18 patients (51.4%) and left kidney in 17 patients (50.6%). Localized (34.3%) and locally advanced (42.9%) tumors were the most represented. Metastases were found in 6 patients (17.1%). Total nephrectomy was performed in 29 patients (82.9%). In the follow-up, we observed 30 setbacks (85.7%) after treatment and obtained 3 cases of death (8.5%) and 1 case of recurrence. The most common histological type was clear cells renal carcinoma (91.4%). Conclusion:The discovery of renal tumors remains late in our regions. Open nephrectomy is still relevant in our context.

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Section: Epidemiologysupporting

confidence: 93%

“…Adult kidney cancer ranks third among urological cancers after prostate and bladder cancers [1][2][3]. It is the 12 th commonest malignant tumor in the world [2].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adult Kidney Cancer in the Thies Region: Epidemiological, Diagnostic and Therapeutic Aspects

2023

J Urol Ren Dis

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“…The earlier a tumor disease is discovered, the easier it is to be treated. More attention is paid to renal malignant tumors, and the accuracy, specificity, and sensitivity of tumor detection are also improving [ 23 ]. CT renal scan is usually performed by plain CT scan followed by enhanced CT scan.…”

Section: Discussionmentioning

confidence: 99%

Computed Tomography Image Features under Denoising Algorithm for Benign and Malignant Diagnosis of Renal Parenchymal Tumor

Zhang

Wang

2022

Contrast Media & Molecular Imaging

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To improve the quality of computed tomography (CT) images and provide help for benign and malignant diagnosis of renal parenchymal tumors, the independent component analysis (ICA) denoising algorithm was used. An improved ICA X-ray CT (X-CT) medical image denoising algorithm was proposed. ICA provided a higher signal-to-noise ratio for CT image denoising. Forty patients with renal tumor were selected as the observation group. The CT image performance of patients was evaluated by the denoising algorithm and compared with the wavelet transform algorithm, and the peak signal-to-noise ratio of the proposed algorithm was analyzed and compared. The results showed that among the 40 patients with renal tumors, 12 were renal clear cell carcinoma cases and 28 were cystic renal carcinoma cases. The accuracy of the enhanced CT image was 93.8%, and that of the CT image using the denoising algorithm was 96.3%; the difference between the two was significant ( P < 0.05 ). The peak signal-to-noise ratio (PSNR) of the algorithm proposed was higher than the PSNR values of CT and noisy images. The PSNR of the proposed algorithm was significantly higher than that of mean filtering. The root mean square error (RMSE) algorithm of the proposed algorithm was significantly lower than that of the mean algorithm in image data processing ( P < 0.05 ), which showed the superiority of the proposed algorithm. Enhanced CT can be staged significantly. In conclusion, the algorithm had a significant effect on the edge contour of detailed features, and the accuracy of CT images based on intelligent calculation was significantly higher than that of conventional CT images for benign and malignant renal parenchyma tumors, which was worth promoting in clinical diagnosis.

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“…The patients were classified according to the UISS. For the early detection of possible recurrence, all patients were followed-up with using computerized tomography according to current recommendations [ 12 ].…”

Section: Methodsmentioning

confidence: 99%

Can Pre-Operative Neutrophil-to-Lymphocyte Ratio (NLR) Help Predict Non-Metastatic Renal Carcinoma Recurrence after Nephrectomy? (UroCCR-61 Study)

Allenet

Klein

Rouget

et al. 2022

Cancers

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Recent studies suggested that the neutrophil-to-lymphocyte ratio (NLR) could play a key role in tumor initiation, progression and response to treatments. The main objective was to assess the prognostic value of the pre-operative NLR on recurrence-free survival (RFS) in patients with non-hereditary localized renal cell carcinoma. From the UroCCR database (NCT03293563), factors influencing the disease recurrence of consecutive patients who underwent nephrectomy for cT1-T4 N0M0 were analyzed using multi-variate cox regression and log-rank methods. We included 786 patients, among which 135 (17.2%) experienced a recurrence at a median time of 23.7 [8.5–48.6] months. RFS for patients with a pre-operative NLR of <2.7 was 94% and 88% at 3 and 5 years, respectively, versus 76% and 63% for patients with a NLR of ≥2.7 (p < 0.001, log-rank test). To predict the risk of post-operative recurrence, the NLR was combined with the UCLA integrated staging system (UISS), and we defined four groups of the UroCCR-61 predictive model. The RFS rates at 3 and 5 years were 100% and 97% in the very-low-risk group, 93% and 86% in the low-risk group, 78% and 68% in the intermediate-risk group and 63% and 46% in the high-risk group (p < 0.0001). The pre-operative NLR seems to be an inexpensive and easily accessible prognostic bio-marker for non-metastatic RCCs.

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Recommandations françaises du Comité de cancérologie de l’AFU – actualisation 2020–2022 : prise en charge du cancer du rein

Cited by 21 publications

References 245 publications

Adult Kidney Cancer in the Thies Region: Epidemiological, Diagnostic and Therapeutic Aspects

Adult Kidney Cancer in the Thies Region: Epidemiological, Diagnostic and Therapeutic Aspects

Computed Tomography Image Features under Denoising Algorithm for Benign and Malignant Diagnosis of Renal Parenchymal Tumor

Can Pre-Operative Neutrophil-to-Lymphocyte Ratio (NLR) Help Predict Non-Metastatic Renal Carcinoma Recurrence after Nephrectomy? (UroCCR-61 Study)

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