Your new experience awaits. Try the new design now and help us make it even better

CASE REPORT article

Front. Oncol., 12 January 2026

Sec. Genitourinary Oncology

Volume 15 - 2025 | https://doi.org/10.3389/fonc.2025.1597024

Multimodal imaging findings of primary renal well-differentiated neuroendocrine tumors (carcinoid): a case report and literature review

Bangcheng WeiBangcheng Wei1Yuge ChenYuge Chen2Yueqin Chen*Yueqin Chen2*Shujun Zhang*Shujun Zhang2*
  • 1Clinical Medical College of Jining Medical University, Jining, Shandong, China
  • 2Department of Radiology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China

Primary renal well-differentiated neuroendocrine tumors (NETs) are rare. Due to their non-specific nature, the detection and monitoring of NETs remain highly challenging. Here, we report a case of a 45-year-old man who was admitted after an incidental finding of a space-occupying lesion in the kidney during a routine physical examination. The patient underwent CT and MRI multimodal imaging, followed by pathological and immunohistochemical analysis after surgery, leading to a diagnosis of well-differentiated renal NET. He was subsequently followed up for a long period. A review of the literature, in conjunction with this case, revealed that these tumors present with non-specific clinical and imaging features. Diagnosis primarily relies on pathological and immunohistochemical evaluation. Well-differentiated renal neuroendocrine tumors are associated with low malignant potential and a favorable prognosis. Surgical resection is the treatment of choice, and long-term follow-up is essential to monitor the patient’s condition. By combining this case with existing literature, we aim to provide valuable insights for clinicians in the diagnosis and management of renal NETs.

1 Introduction

Neuroendocrine tumors (NETs) are a group of heterogeneous tumors that originate from peptidergic neurons and neuroendocrine cells. The peak incidence of NETs occurs between the ages of 50 and 70, and they can arise in many organs and tissues throughout the body. The most common primary sites are the gastrointestinal tract (62-67%) and the lungs (22-27%). Between 12% and 22% of patients present with metastases at the time of diagnosis. Primary renal neuroendocrine tumors (PRNETs) are rare, accounting for less than 1% of malignant renal epithelial cell tumors (13). Currently, the literature primarily consists of case reports and small sample studies. This paper presents the diagnosis and treatment of a 45-year-old male patient with renal NETs and reviews the clinical features, imaging characteristics, pathological findings, treatment options, and prognosis of the disease based on a comprehensive literature review.

2 Case report

This study follows the CARE guidelines (4). According to local and national regulations, ethical approval is not required for this study. The patient provided written informed consent, agreeing to receive treatment and to the publication of his medical details, including any accompanying images. A 45-year-old male was diagnosed with a left kidney mass and right kidney stones during a routine physical examination. The patient typically experiences low back pain but does not present with macroscopic hematuria, frequent urination, urgency, dysuria, or painful urination. Physical examination revealed percussion pain in the right renal area but no tenderness in the bilateral ureteral regions, no suprapubic bladder filling, and no tenderness upon palpation. Blood tests, including routine blood work, blood biochemistry, coagulation indices, and inflammation markers, showed no abnormalities. Imaging data: (1)Renal computed tomography (CT): multiple nodular iso- to low-density shadows were observed in the left kidney, with some lesions locally protruding from the kidney’s outline. Patchy calcifications were noted in the left renal parenchyma (Figures 1a, e, i). Three-phase dynamic contrast-enhanced scans revealed well-defined lesion boundaries, with mild inhomogeneous enhancement in the medial upper pole lesions of the left kidney and the rest showed no enhancement (Figures 1b-d, f-h, j-l). (2)Renal magnetic resonance imaging (MRI): The round-like lesions in the upper pole of the left kidney appeared iso-signal on T1-weighted images (T1WI), iso-high mixed signal on T2-weighted images (T2WI), with a nodular low signal intensity at the edges. These lesions exhibited high signal intensity on diffusion-weighted imaging (DWI), accompanied by a decreased apparent diffusion coefficient (ADC) value, showing a clear boundary. The measured dimensions of the lesion were approximately 27 mm (left to right), 22 mm (anterior to posterior), and 24 mm (superior to inferior). On contrast-enhanced scans, the lesions demonstrated mild inhomogeneous enhancement (Figures 2a-f). After admission, preoperative examinations confirmed the diagnosis of a left kidney tumor. After excluding contraindications, laparoscopic partial nephrectomy and perirenal adhesion release were performed. During surgery, the perirenal fascia was incised, the perirenal fat was separated, and the left kidney was exposed. The tumor was excised along with a portion of the kidney tissue. Gross examination revealed a specimen consisting of kidney tissue and surrounding adipose, measuring approximately 4.5×4×2 cm. The cut surface appeared gray-white and gray-red, with a tough texture and areas of calcification. Immunohistochemical analysis (Figure 3) showed positive staining for cytokeratin, synaptophysin, chromogranin A, neuron-specific enolase, and insulin-related protein 1, while CD56 was negative and Ki-67 was 2-3%. The pathological diagnosis was renal neuroendocrine tumor (NET, G1, carcinoid) with ossification and negative incisal margins. At the 3-month follow-up, MRI of the lower abdomen showed partial absence and irregularity of the left kidney with striped T1WI low signal and T2WI high signal (Figures 4a, b). At the 7-month follow-up, MRI revealed similar findings with persistent striped T1WI low and T2WI high signal (Figures 4c, d).

Figure 1
CT scans showing coronal, sagittal, and transverse views during different phases: non-contrast, arterial, venous, and delayed. Red arrows highlight specific areas in each phase and view, indicating potential medical points of interest across the images labeled a to l.

Figure 1. Preoperative renal CT plain scan and enhanced scan. (a-l) Multiple nodular iso-low density shadows in the left kidney, locally protruding from the outline of the kidney, and patchy calcification shadow in the left renal parenchyma. Three-phase dynamic contrast-enhanced scans revealed well-defined lesion boundaries, with mild inhomogeneous enhancement in the medial upper pole lesions of the left kidney and the rest showed no enhancement.

Figure 2
MRI scans of the abdomen show different views with red arrows indicating focal points of interest. Images (a) to (d) depict axial views with similar structures highlighted. Images (e) to (g) present coronal views of the kidneys and spine with highlighted areas. Image (h) shows an axial view with another point of interest marked.

Figure 2. Preoperative renal MRI showed round-like abnormal signal in the upper medial pole of the left kidney. (a-f) On contrast-enhanced scan (plain scan, arterial phase, venous phase and delayed phase), the lesions showed mild inhomogeneous enhancement and iso-signal on T1WI. (g, h) T2WI showed iso-high mixed signal.

Figure 3
Microscopic view of tissue samples stained with various markers. Top row from left: HE (purple), CK (brown), Syn (light brown), CgA (brown spots on blue). Bottom row from left: NSE (light brown), INSM-1 (dark brown), CD56 (light blue), Ki-67 (light blue with occasional brown spots). Each panel highlights different cellular characteristics.

Figure 3. Pathological examination after surgery. The tumor cells were arranged in cords or ribbons, with dichromatic cytoplasm and fine granular or vacuolated nuclear chromatin. Necrosis was not seen, and mitotic activity was rare. Tumor tissue: tumor cells CK (+), Syn (+), CgA (+), NSE (+), INSM-1 (+), CD56 (-), Ki-67 (+, 2-3%). Magnifications ×400.

Figure 4
MRI scans of the abdominal region are shown in four panels labeled a, b, c, and d. Panels a and c display coronal views with red arrows indicating a lesion near the spine. Panels b and d are axial views with arrows highlighting areas in the kidneys. The scans detail kidney structures and surrounding tissues.

Figure 4. Postoperative MRI Images. (a, b) (T2WI): at the 3rd month follow-up, MRI of the lower abdomen showed that after partial nephrectomy, the left kidney was partially absent and irregular, with striped T2WI high signal (c, d) (T2WI): at the 7th month follow-up, MRI of the lower abdomen showed that after partial nephrectomy, the left kidney was partially absent and irregular, with striped T2WI high signal.

3 Discussion

NETs are rare malignancies that originate from neuroendocrine cells and peptide-secreting neurons. While they typically occur in endocrine organs, NETs can also develop in non-endocrine organs and tissues. The most common primary sites are the gastrointestinal tract and lungs, with renal involvement being exceedingly rare (5). Neuroendocrine cells are present in the kidney during fetal development but are generally absent in normal adult kidneys. The pathogenesis of renal NETs remains unclear. The view supported by most scholars is that the original pluripotent stem cells differentiate into neuroendocrine cells (2). However, some scholars have proposed that neural-crest derived cells misplaced or retained within the kidney during embryogenesis may later proliferate or undergo neoplastic transformation, giving rise to tumors with neuroendocrine features (6). Renal carcinoids are associated with certain renal malformations, including horseshoe kidney, mature cystic teratomas, and polycystic kidney disease, with horseshoe kidney being most strongly linked to renal carcinoid. Reports indicate that 18% to 26% of renal carcinoids occur in patients with horseshoe kidney, and these individuals face a 62-fold increased risk of developing NETs (7, 8). Histologically, NETs are classified into well-differentiated types (carcinoid and atypical carcinoid) and poorly differentiated types (small cell carcinoma and large cell carcinoma). According to the 2016 WHO classification of renal tumors, renal endocrine tumors are categorized into four types: paraganglioma, well-differentiated neuroendocrine tumors (carcinoid and atypical carcinoid), small cell neuroendocrine carcinoma, and large cell neuroendocrine carcinoma (911).

Clear cell renal cell carcinoma (CCRCC) and NETs share certain biological features: both may exhibit relatively indolent growth yet metastasize at an early stage, and they can display overlapping morphological characteristics. Current research indicates that CCRCC may exhibit neuroendocrine characteristics. Mjønes et al. demonstrated a strong association between clear cell renal cell carcinoma and the expression of erythropoietin and NSE, suggesting that the tumor may originate from erythropoietin-producing cell (EPC). Embryologically, there are many arguments favoring neural crest origin of the erythropoietin-producing cell (12, 13). These findings provide important biological context for the disease and support the consideration of neuroendocrine markers and erythropoietin expression during diagnostic evaluation.

3.1 Clinical presentation

PRNETs are most commonly found in individuals aged between 50 and 60 years, predominantly in the right kidney, with no significant gender difference observed (2, 14). Typically, these tumors present with non-specific clinical symptoms and are often discovered incidentally during routine physical exams. When symptoms do appear, patients commonly experience back pain, abdominal distension, abdominal mass, and hematuria (2, 8). Well-differentiated NET cells possess neuroendocrine functionality and can secrete vasoactive substances such as dopamine, histamine, and prostaglandins, which may result in carcinoid syndrome. Studies have shown that approximately 15% of patients with well-differentiated NETs develop carcinoid syndrome, presenting symptoms such as facial flushing, systemic edema, diarrhea, and asthma (10). This type of tumor usually spreads locally and metastasis is rare, but the frequency of metastasis increases with the increase of tumor size (15).

3.2 Diagnosis and differential diagnosis

Renal NETs usually present as solid masses with clear boundaries, mostly located near the renal hilum of the renal parenchyma, while those with horseshoe kidney showed cystic-solid masses, and the lesions were mostly located near the isthmus (2). These tumors are generally hypovascular or even avascular, leading to either no enhancement or mild enhancement, with larger tumors occasionally showing heterogeneous enhancement. Approximately 25% of renal NETs exhibit internal calcification, and about 50% of patients have retroperitoneal lymphadenopathy (8, 16, 17). Some studies suggest that calcification is associated with the indolent nature of the tumor, while hemorrhage and necrosis are linked to more aggressive growth and a poorer prognosis (2). Radionuclide-labeled octreotide can specifically bind to somatostatin receptors in tumor tissue, aiding in the detection of primary carcinoid and metastatic lesions. This method has been reported to have a sensitivity greater than 85% for detecting carcinoid tumors, including small and asymptomatic lesions (18). FDG-PET is commonly used to assess tumor metabolism in cancer patients in various stages of the disease (19). In our case, the tumor was located in the left kidney, displaying mild heterogeneous enhancement on contrast-enhanced imaging with calcification, but without retroperitoneal lymphadenopathy. Currently, there is limited imaging data on PRNETs. Based on this case and a review of the literature, the following imaging features can be summarized: heterogeneous density, mild to moderate enhancement, and calcification, which are helpful for diagnosing renal NETs. Most lesions exhibit heterogeneous signal intensity across different sequences, with varying signal characteristics that are not specific and may be related to the presence of cystic degeneration, hemorrhage, or necrosis.

Conventional imaging techniques often struggle to accurately differentiate renal NETs from other renal malignancies, such as renal cell carcinoma, due to overlapping imaging features. This overlap is a key factor contributing to the misdiagnosis in this patient. Clinically, renal NETs must be distinguished from the following conditions: (1) CCRCC: On CT, these tumors typically present as low-density masses with a common pseudocapsule. Microcystic degeneration, hemorrhage, and calcification are often seen. On MRI, clear cell carcinoma usually shows high signal intensity on T2WI, and some lesions may not demonstrate low signal intensity on the ADC map. Post-contrast imaging typically reveals significant enhancement, with a “fast-in, fast-out” enhancement pattern. (2) Chromophobe renal cell carcinoma: These tumors are characterized by a high degree of homogeneity. On CT, they typically show equal density, while MRI often reveals equal signal intensity on T1WI. Enhanced CT and MRI show uniform enhancement, and DWI displays high signal intensity. Delayed imaging may reveal a central strip-like low signal, known as the “spoke-wheel sign” (20, 21). (3) Fat-Poor Renal Angiomyolipoma: These lesions exhibit a typical homogeneous high density on CT and a characteristic homogeneous low signal on T2WI and ADC maps. They lack a capsule, calcification, or hemorrhage. The common enhancement pattern is “fast-in, fast-out,” although approximately one-third of lesions may show delayed enhancement (22, 23).

Although the calcification, mild to moderate enhancement and heterogeneous density in imaging examination are helpful for the diagnosis of well differentiated renal NETs, the final diagnosis and differential diagnosis mainly depend on the results of pathological and immunohistochemical examination. The commonly used neuroendocrine markers are chromogranin A (CgA), neuron-specific enolase (NSE), synaptophysin (Syn) and CD56. Recently, insulinoma-associated 1 (INSM-1), a zinc finger transcription factor, was also found to be expressed in NETs (24). The specificity of CgA in the diagnosis of carcinoid was 97%, while that of Syn was as high as 100% (2). Ki-67 is a reliable marker of pathological grading, and its index reflects cell proliferation activity to a certain extent. The immunohistochemical results of this patient showed that the tumor cells were positive for CK, Syn, CgA, NSE, and INSM-1, and the Ki-67 proliferation index was 2-3%. According to the European Neuroendocrine Tumor Society (ENETS) guidelines and the 2010 World Health Organization (WHO) classification, the NETs of this patient was graded as G1 (25). The final diagnosis was: (left) renal neuroendocrine tumor (NET, G1, carcinoid). Erythropoietin immunohistochemistry could not be performed owing to insufficient residual tissue, a limitation that, although mitigated by the diagnostic support provided by characteristic morphology and standard immunohistochemical markers, should be acknowledged.

3.3 Treatment and prognosis

Although primary renal NETs are low-invasive tumors in terms of tumor biology, they still have invasion and metastasis, so they should be treated as soon as possible. Surgery is the best treatment for the disease, and the current gold standard for the treatment of this type of tumor is partial nephrectomy or radical nephrectomy. The extent of surgery mainly depends on the size and location of the tumor, as well as the status of invasion and lymph node metastasis. Radical nephrectomy can be used for large tumors or tumors that cannot be completely resected by partial resection. Lymph node dissection is recommended during surgery, especially if there is any evidence of lymph node enlargement. So far, no systemic therapy has been established for adjuvant or metastatic setting of PRNETs (6, 25, 26). Octreotide is a long-acting somatostatin analogue used for both detection and as a first line antineoplastic systemic therapy. Although radiation therapy has not been extensively studied, radiolabeled octreotide is effective in reducing tumor volume and improving clinical symptoms in patients with metastases (5, 17).

Renal NETs have a lower degree of malignancy and a good prognosis, but long-term follow-up is still needed to monitor the patient’s condition. The following major prognostic factors have been identified. Patients older than 40 years tend to have faster disease progression and more severe initial symptoms. Tumors with a maximum diameter of less than 4 cm or confined to the renal parenchyma usually have fewer metastases and have a better prognosis. Other important prognostic factors include high mitotic rate greater than 2/10 HPF, lymphovascular invasion, atypical cytology and necrosis (17, 26). Given the nonspecific nature of CT and MRI, postoperative imaging should include somatostatin receptor scintigraphy to detect metastatic disease. Long-term follow-up is recommended because metastatic disease can occur even within five years after diagnosis. Follow-up should include physical examination, biochemical laboratory examination and chromogranin A (CgA) levels, along with imaging studies every 3-6 months (6).

4 Conclusion

Renal NETs are extremely rare and usually presents as a low-grade malignant tumor with a good prognosis. Due to their similarity to other renal tumors, they are prone to misdiagnosis and delayed diagnosis. Pathological examination and immunohistochemical analysis are essential for accurate diagnosis. Surgical resection is the best treatment modality, and octreotide shows potential as an effective adjuvant therapy for metastatic disease. However, due to the rarity of these tumors, continued research and long-term follow-up are essential to better understand their biological behavior and develop more effective treatment strategies.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.

Ethics statement

The studies involving humans were approved by the ethics committee of The Affiliated Hospital of Jining Medical University. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.

Author contributions

BW: Visualization, Writing – original draft. YGC: Writing – review & editing. YQC: Data curation, Resources, Supervision, Writing – review & editing. SZ: Funding acquisition, Supervision, Writing – review & editing.

Funding

The author(s) declared financial support was received for this work and/or its publication. The work was supported by Shandong Provincial Natural Science Foundation, China (Grant No. ZR2023QH100) and Key Research and Development Plan of Jining (Grant No. 2024YXNS031).

Conflict of interest

The authors declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that Generative AI was not used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2025.1597024/full#supplementary-material

References

1. Armah HB and Parwani AV. Primary carcinoid tumor arising within mature teratoma of the kidney: report of a rare entity and review of the literature. Diagn Pathol. (2007) 2:15. doi: 10.1186/1746-1596-2-15

PubMed Abstract | Crossref Full Text | Google Scholar

2. Romero FR, Rais-Bahrami S, Permpongkosol S, Fine SW, Kohanim S, and Jarrett TW. Primary carcinoid tumors of the kidney. J Urol. (2006) 176:2359–66. doi: 10.1016/j.juro.2006.07.129

PubMed Abstract | Crossref Full Text | Google Scholar

3. Oronsky B, Ma PC, Morgensztern D, and Carter CA. Nothing but NET: A review of neuroendocrine tumors and carcinomas. Neoplasia. (2017) 19:991–1002. doi: 10.1016/j.neo.2017.09.002

PubMed Abstract | Crossref Full Text | Google Scholar

4. Gagnier JJ, Kienle G, Altman DG, Moher D, Sox H, Riley D, et al. The CARE guidelines: consensus-based clinical case reporting guideline development. Headache. (2013) 53:1541–7. doi: 10.1111/head.12246

PubMed Abstract | Crossref Full Text | Google Scholar

5. Ichikawa Y, Kobayashi N, Takano S, Kato I, Endo K, and Inoue T. Neuroendocrine tumor theranostics. Cancer Sci. (2022) 113:1930–8. doi: 10.1111/cas.15327

PubMed Abstract | Crossref Full Text | Google Scholar

6. Zhang Z, Luo C, Yuan T, Ge P, Li F, Fan Y, et al. Pathogenesis, diagnosis and treatment of primary renal well-differentiated neuroendocrine tumors: a review of the literature. Front Oncol. (2024) 14:1298559. doi: 10.3389/fonc.2024.1298559

PubMed Abstract | Crossref Full Text | Google Scholar

7. Kuroda N, Tanaka A, Ohe C, Mikami S, Nagashima Y, Inoue K, et al. Review of renal carcinoid tumor with focus on clinical and pathobiological aspects. Histol Histopathol. (2013) 28:15–21. doi: 10.14670/HH-28.15

PubMed Abstract | Crossref Full Text | Google Scholar

8. Prasad V, Sreelakshmi CV, Ravi Chandran K, Agrawal S, Pooleri GK, and Sao A. Primary well-differentiated neuroendocrine tumor of the kidney. J Kidney Cancer VHL. (2023) 10:8–12. doi: 10.15586/jkcvhl.v10i2.277

PubMed Abstract | Crossref Full Text | Google Scholar

9. Yi Z, Liu R, Hu J, He T, Wang Z, Li Y, et al. Clinicopathologic features and survival outcomes for primary renal neuroendocrine neoplasms. Clin Genitourin Cancer. (2021) 19:155–61. doi: 10.1016/j.clgc.2020.10.010

PubMed Abstract | Crossref Full Text | Google Scholar

10. Moch H, Cubilla AL, Humphrey PA, Reuter VE, and Ulbright TM. The 2016 WHO classification of tumours of the urinary system and male genital organs-part A: renal, penile, and testicular tumours. Eur Urol. (2016) 70:93–105. doi: 10.1016/j.eururo.2016.02.029

PubMed Abstract | Crossref Full Text | Google Scholar

11. Moch H, Amin MB, Berney DM, Compérat EM, Gill AJ, Hartmann A, et al. The 2022 world health organization classification of tumours of the urinary system and male genital organs-part A: renal, penile, and testicular tumours. Eur Urol. (2022) 82:458–68. doi: 10.1016/j.eururo.2022.06.016

PubMed Abstract | Crossref Full Text | Google Scholar

12. Mjønes PG, Nordrum IS, Qvigstad G, Sørdal Ø, Rian LL, Waldum HL, et al. Expression of erythropoietin and neuroendocrine markers in clear cell renal cell carcinoma. Apmis. (2017) 125:213–22. doi: 10.1111/apm.12654

PubMed Abstract | Crossref Full Text | Google Scholar

13. Waldum H and Mjønes P. Clear cell renal cancer, a tumour with neuroendocrine features originating from the erythropoietin-producing cell, Renal Cell Carcinoma-Recent Advances, New Perspectives and Applications. IntechOpen. (2022), 77–90. doi: 10.5772/intechopen.107051

Crossref Full Text | Google Scholar

14. Liu C, Qi Y, Zhang Y, and Yang X. Primary neuroendocrine neoplasms of the kidney: a case report and literature review. J Int Med Res. (2023) 51:3000605231198384. doi: 10.1177/03000605231198384

PubMed Abstract | Crossref Full Text | Google Scholar

15. Litwinowicz R, Szpor J, Januś G, Worek M, and Okoń K. Primary carcinoid tumour in horseshoe kidney. Pol J Pathol. (2011) 62:72–4.

Google Scholar

16. Lamb L and Shaban W. Primary renal carcinoid tumor: A radiologic review. Radiol Case Rep. (2014) 9:923. doi: 10.2484/rcr.v9i2.923

PubMed Abstract | Crossref Full Text | Google Scholar

17. Korkmaz T, Seber S, Yavuzer D, Gumus M, and Turhal NS. Primary renal carcinoid: treatment and prognosis. Crit Rev Oncol Hematol. (2013) 87:256–64. doi: 10.1016/j.critrevonc.2013.02.003

PubMed Abstract | Crossref Full Text | Google Scholar

18. Mufarrij P, Varkarakis IM, Studeman KD, and Jarrett TW. Primary renal carcinoid tumor with liver metastases detected with somatostatin receptor imaging. Urology. (2005) 65:1002. doi: 10.1016/j.urology.2004.11.042

PubMed Abstract | Crossref Full Text | Google Scholar

19. Zukotynski K, Lewis A, O’regan K, Jacene H, Sakellis C, Krajewski K, et al. PET/CT and renal pathology: a blind spot for radiologists? Part 1, primary pathology. AJR Am J Roentgenol. (2012) 199:W163–7. doi: 10.2214/AJR.11.7790

PubMed Abstract | Crossref Full Text | Google Scholar

20. Low G, Huang G, Fu W, Moloo Z, and Girgis S. Review of renal cell carcinoma and its common subtypes in radiology. World J Radiol. (2016) 8:484–500. doi: 10.4329/wjr.v8.i5.484

PubMed Abstract | Crossref Full Text | Google Scholar

21. Wang X, Kong W, Wang Y, Wang Y, Chen Y, Shi Z, et al. Analysis of CT, MRI imaging features of renal cell carcinoma with different histopathological types. J buon. (2021) 26:2053–8.

PubMed Abstract | Google Scholar

22. Lim RS, Flood TA, Mcinnes MDF, Lavallee LT, and Schieda N. Renal angiomyolipoma without visible fat: Can we make the diagnosis using CT and MRI? Eur Radiol. (2018) 28:542–53. doi: 10.1007/s00330-017-4988-4

PubMed Abstract | Crossref Full Text | Google Scholar

23. Hakim SW, Schieda N, Hodgdon T, McInnes MD, Dilauro M, and Flood TA. Angiomyolipoma (AML) without visible fat: Ultrasound, CT and MR imaging features with pathological correlation. Eur Radiol. (2016) 26:592–600. doi: 10.1007/s00330-015-3851-8

PubMed Abstract | Crossref Full Text | Google Scholar

24. Rosenbaum JN, Guo Z, Baus RM, Werner H, Rehrauer WM, and Lloyd RV. INSM1: A novel immunohistochemical and molecular marker for neuroendocrine and neuroepithelial neoplasms. Am J Clin Pathol. (2015) 144:579–91. doi: 10.1309/AJCPGZWXXBSNL4VD

PubMed Abstract | Crossref Full Text | Google Scholar

25. Nadler A, Cukier M, Rowsell C, Kamali S, Feinberg Y, Singh S, et al. Ki-67 is a reliable pathological grading marker for neuroendocrine tumors. Virchows Arch. (2013) 462:501–5. doi: 10.1007/s00428-013-1410-8

PubMed Abstract | Crossref Full Text | Google Scholar

26. Rosenberg JE, Albersheim JA, Sathianathen NJ, Murugan P, and Weight CJ. Five new cases of primary renal carcinoid tumor: case reports and literature review. Pathol Oncol Res. (2020) 26:341–6. doi: 10.1007/s12253-018-0481-x

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: primary renal well-differentiated neuroendocrine tumors, carcinoid, multimodal imaging, immunohistochemistry, case report

Citation: Wei B, Chen Y, Chen Y and Zhang S (2026) Multimodal imaging findings of primary renal well-differentiated neuroendocrine tumors (carcinoid): a case report and literature review. Front. Oncol. 15:1597024. doi: 10.3389/fonc.2025.1597024

Received: 20 March 2025; Accepted: 18 December 2025; Revised: 22 November 2025;
Published: 12 January 2026.

Edited by:

Ronald M. Bukowski, Cleveland Clinic, United States

Reviewed by:

Helge Waldum, Norwegian University of Science and Technology, Norway
Sanja Stifter-Vretenar, Skejby Sygehus, Denmark

Copyright © 2026 Wei, Chen, Chen and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yueqin Chen, Y2hlbnl1ZXFpbjAxMEAxNjMuY29t; Shujun Zhang, enNqMjAxNTkxMUAxNjMuY29t

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.