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Priya, Narayan, and Ghosh: Prevalence and clinical relevance of the anatomical variations of suprarenal arteries: a review
Erratum

Anat Cell Biol 2022;55(4):525-528.

Published online: 31 December 2022

DOI: https://doi.org/10.5115/acb.21.211E

Prevalence and clinical relevance of the anatomical variations of suprarenal arteries: a review

Ananya Priya1, Ravi Kant Narayan2, Sanjib Kumar Ghosh1

1Department of Anatomy, All India Institute of Medical Science, Patna, India

2Department of Anatomy, Andaman and Nicobar Islands Institute of Medical Sciences, Port Blair, India

Copyright © 2022. Anatomy & Cell Biology

(open-access):

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
In the version of this article originally published, there was an error in Table 1. “843 fetuses” should be replaced by “168 fetuses”. The corrected version of Table 1 is included below. The corrected part is underlined.
We apologize for our mistake and any inconvenience this may have caused.

Table 1
Incidence of variant origin of suprarenal arteries
Authors (year) Population/region No. and type of specimens Variations
Superior suprarenal arteries Middle suprarenal arteries Inferior suprarenal arteries
R L R L R L
Dobbie and Symington (1966) [16] Scotland 20 autopsies of human adults, 50 adult patients S: 100% M: 100% I: 100%
Lamarque et al. (1973) [14] France 255 total aortography, 373 selective arteriography of suprarenal gland S: 100% -

  • I: 51.5%

  • Iab: 48.5%

  • I: 44%

  • Iab: 56%
Toni et al. (1988) [15] Italy 100 abdominal angiographies

  • S: 92%

  • SCT: 5%

  • SAA: 3%

  • S: 79%

  • SAA: 16%

  • SIC: 3%

  • SCT: 2%

  • M: 91%

  • MCT: 4%

  • MIP: 3%

  • MRA: 2%

  • M: 99%

  • MCT: 1%

  • I: 96%

  • IPR: 2%

  • IAA: 2%

  • I: 95%

  • IAA: 5%
Bianchi and Ferrari (1991) [4] Argentina 50 fetuses S: 100%

  • S: 96%

  • SCT: 4%

  • M: 68%

  • MIP: 32%

  • M: 68%

  • MIP: 20%

  • MCT: 12%

  • I: 60%

  • I+IGA: 12%

  • ISPA: 4%

  • ISPA+IGA: 12%

  • IAA: 4%

  • IGA: 4%

  • IAGA: 4%

  • I: 40%

  • IAA: 24%

  • IGA: 8%

  • I+IGA: 8%

  • IAGA: 4%

  • IGA+IAGA: 4%

  • I+ISPA: 4%

  • IAA+ISPA: 4%

  • I SPA+IGA: 4%
Pityński et al. (1998) [3] Poland 40 fetuses S: 100%

  • S: 95%

  • S+SAA: 5%

  • M: 32.5%

  • MIP: 27.5%

  • M+MIP: 15%

  • MRA: 17.5%

  • MGA: 7.5%

  • M: 47.5%

  • MIP: 17.5%

  • M+MSSA: 2.5%

  • M+MIP: 22.5%

  • MRA: 7.5%

  • MGA: 2.5%

  • I: 55%

  • I+IAA: 25%

  • I+ISPA: 5%

  • I+IGA: 7.5%

  • I+IGA+IAA: 2.5%

  • I+IAA+ISPA: 2.5%

  • ISMA: 2.5%

  • I: 47.5%

  • I+IAA: 32.5%

  • I+ISPA: 2.5%

  • I+IGA: 12.5%

  • I+IGA+IAA: 10%

  • I+IGA+ISPA: 5%
Manso and DiDio (2000) [12] Brazil 30 pairs of suprarenal glands

  • S: 86.7%

  • SCT: 6.7%

  • SAA: 3.3%

  • SAA+SISA: 3.3%

  • S: 83.3%

  • SCT: 6.7%

  • SAA: 10%

  • M: 53.3%

  • MIP: 26.7%

  • MSSA: 3.3%

  • MISA: 6.7%

  • MSMA: 3.3%

  • MRA: 3.3%

  • MCT: 3.3%

  • MAA: 46.7%

  • MIP: 26.7%

  • MSSA: 10.0%

  • MISA: 6.7%

  • MSMA: 3.3%

  • MRA: 3.3%

  • MCT: 3.3%

  • MRA: 3.3%

  • I: 70%

  • IAA: 26.7%

  • IAA+ISSA: 3.3%

  • I: 50%

  • IAA: 36.7%

  • ISPA: 3.3%

  • IIPA: 3.3%

  • IGA: 6.6%
Yalçin et al. (2004) [29] Turkey 25 years old female cadaver - MCT I
Cimen et al. (2007) [30] Turkey 45 years old male cadaver - MRA M I -
Deepthinath et al. (2006) [31] South Indian 45 years old male cadaver - MRA MCT I -
Dutta (2010) [5] North Indian 68 human cadavers S: 100%

  • S: 76%

  • SAA: 18%

  • SSA: 6%

  • M: 53%

  • MARA: 18%

  • Absent: 29%

  • M: 94%

  • MARA: 6%

  • I: 76%

  • IGA: 18%

  • IAA: 6%

  • I: 59%

  • IGA: 6%

  • Absent: 35%
Oztürk et al. (2010) [24] Turkey 50 years old male cadaver Absent M IAA
Jyothsna et al. (2012) [36] South Indian 55 years old male cadaver - - - IAA
Chakravarthi (2014) [21] South Indian Middle-aged male cadaver SAA SAA M M - -
Sushma et al. (2014) [17] South Indian 20 cadavers S: 100% S: 100%

  • M: 80%

  • MRA: 10%

  • MARA: 5%

  • MIP: 5%

  • M: 90%

  • MIP: 5%

  • MCT: 5%

  • I: 90%

  • IARA: 5%

  • IIP: 5%

  • I: 90%

  • IARA: 10%
Sarkar et al. (2014) [18] Northeast India 54 years old male cadaver S SCT M Absent I I
Ahmed et al. (2015) [20] South Indian 25 adult and 50 fetal cadavers

  • S: 88%

  • Sab: 12%

  • M: 93.34%

  • Mab: 6.66%

  • I: 93.34%

  • Iab: 6.66%
Lakshmi and Dhoot (2016) [6] North Indian 15 adult human cadavers S: 100% S: 100%

  • M: 83.33%

  • MARA: 13.33%

  • MRA: 3.33%

  • M: 96.66%

  • MCT: 3.33%

  • I: 83.33%

  • IARA: 16.66%

  • I: 66.66%

  • IARA: 33.33%
Shanthakumar et al. (2016) [19] South Indian 58 years old male cadaver S - M - I IGA
Olewnik et al. (2018) [22] Poland 64 years old male cadaver SRA Absent I
Greeff et al. (2019) [27] South African 50 fetuses

  • S: 98%

  • Absent: 2%

  • S: 98%

  • Absent: 2%

  • M: 18%

  • MRA: 62%

  • Absent: 20%

  • M: 34%

  • MRA: 26%

  • Absent: 40%

  • I: 90%

  • IAA: 10%

  • I: 92%

  • IAA: 6%

  • IARA: 2%
Vinitha and Parthasarathy (2020) [37] South Indian 48 cadavers

  • S: 81.33%

  • SAA: 16.67%

  • SCT: 2%

  • M: 98%

  • Absent: 2%

  • I: 98%

  • IAA: 2%
Xu et al. (2020) [42] Chinese 168 fetuses -

  • M: 89.2%

  • Absent: 10.79%

 -
South Indiana) 147

  • S: 86.8%

  • SAA: 6.2%

  • SCT: 0.8%

  • Sab: 6.2%

  • M: 92.8%

  • Mabsent: 0.7%

  • MAB: 3.4%

  • MRA: 1%

  • MARA: 0.3%

  • MCT: 0.7%

  • MIP: 0.7%

  • I: 92.9%

  • IAA: 1%

  • IARA: 10.2%

  • IIP: 0.3%

  • Iab: 3.4%

  • IGA: 0.3%
North Indianb) 83

  • S: 90.4%

  • SAA: 7.2%

  • SSA: 2.4%

  • M: 76%

  • MARA: 11%

  • MCT: 0.4%

  • MRA: 0.4%

  • Absent: 12%

  • I: 73.5%

  • IGA: 9.7%

  • IAA: 2.4%

  • IARA: 4.7%

  • Iabsent: 9.7%
Caucasiansc) 919

  • S: 97.5%

  • SAA: 1.3%

  • SCT: 0.8%

  • SIC: 0.1%

  • SAA+SISA: 0.1%

  • S+SAA: 0.1%

  • SRA: 0.1%

  • M: 93.5%

  • Mabsent: 0.1%

  • MIP: 3.4%

  • MSSA: 0.2%

  • MISA: 0.2%

  • MSMA: 0.1%

  • MRA: 0.7%

  • MCT: 0.7%

  • M+MSSA: 0.1%

  • M+MIP: 0.8%

  • MGA: 0.2%

  • I: 57.7%

  • Iab: 35.7%

  • IIPA: 0.05%

  • IPR: 0.1%

  • IAA: 2.06%

  • I+IGA: 0.9%

  • ISPA: 0.2%

  • IGA: 0.4%

  • ISPA+IGA: 0.4%

  • IAGA: 0.2%

  • IGA+IAGA: 0.1%

  • I+ISPA: 0.3%

  • IAA+ISSA: 0.1%

  • I+IAA: 1.3%

  • I+ISSA: 0.05%

  • I+IGA+IAA: 0.2%

  • I+IAA+ISPA: 0.05%

  • I+IGA+ISPA: 0.1%
Turkishd) 3

  • S: 66.7%

  • Absent: 33.3%

  • M: 66.7%

  • MCT: 33.3%

  • MRA: 33.3%

  • I: 66.7%

  • IAA: 33.3%

The subscript in the table is denoting the origin of the respective arteries: ab, abnormal origin; AA, abdominal aorta; CT, coeliac trunk; IC, intercostal artery; IP, inferior phrenic artery; RA, renal artery; PR, polar renal artery; GA, gonadal artery; SPA, superior polar artery; AGA, accessory gonadal artery; SMA, superior mesenteric artery; ISA, inferior suprarenal artery; SSA, superior suprarenal artery; IPA, inferior polar artery; SA, splenic artery; ARA, accessory renal artery. a)Average results for the South Indian population include Deepthinath et al. (2006) [31], Jyothsna et al. (2012) [36], Chakravarthi (2014) [21], Sushma et al. (2014) [17], Ahmed et al. (2015) [20], Shanthakumar et al. (2016) [19], Vinitha and Parthasarathy (2020) [37]. b)Average results for North Indian population include Dutta (2010) [5], Lakshmi and Dhoot (2016) [6]. c)Average results for Caucasian population include Dobbie and Symington (1966) [16], Lamarque et al. (1973) [14], Toni et al. (1988) [15], Bianchi and Ferrari (1991) [4], Pityński et al. (1998) [3], Manso and DiDio (2000) [12], Olewnik et al. (2018) [22]. d)Average results for Turkish population includes Yalçin et al. (2004) [29], Cimen et al. (2007) [30], Oztürk et al. (2010) [24]. R, right; L, left; S, normal origin of superior suprarenal artery; M, normal origin of middle suprarenal artery; I, normal origin of inferior suprarenal artery.

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