Comparison of the state of brain metabolism and psycho emotional disorders in patients with postmastectomy syndrome
- Authors: Makhanova A.M.1, Pospelova M.L.1, Ryzhkova D.V.1, Alexeeva T.M.1, Fionik O.V.1, Krasnikova V.V.1, Tonyan S.N.1, Nikolaeva A.E.1, Bukkieva T.A.1, Mokin E.A.1, Voynov M.S.1, Laptev M.I.1, Vyalykh E.E.1
-
Affiliations:
- Personalized Medicine Centre, Almazov National Medical Research Centre
- Issue: Vol 41, No 4 (2022)
- Pages: 399-406
- Section: Original articles
- URL: https://journals.eco-vector.com/RMMArep/article/view/111887
- DOI: https://doi.org/10.17816/rmmar111887
- ID: 111887
Cite item
Abstract
BACKGROUND: The most common consequence of radical treatment of breast cancer is postmastectomy syndrome — a complex of changes in the lymphocirculatory system, central and peripheral nervous system, skeletal and muscular apparatus, that significantly reduce the quality of life and working capacity of women. In recent years, special attention has been paid to the study of psycho emotional disorders in this group of patients. A promising method for preclinical diagnosis of anxiety and depressive disorders in patients with postmastectomy syndrome may be positron emission computed tomography with fluorine-18 labeled glucose — 2(18F)-fluoro-2-deoxy-D-glucose, which makes it possible to deduce typical patterns of changes in glucose metabolism in cerebral structures in various depressive and anxiety states.
AIM: The purpose of this study is to study the relationship between brain metabolism and psycho emotional status in patients with postmastectomy syndrome.
MATERIALS AND METHODS: In our work, the sample consisted of 28 patients who underwent radical treatment for breast cancer, who underwent an assessment of the psycho-emotional state using the State-Trait Anxiety Inventory and Zung scales for self-assessment of depression. Positron emission tomography was also performed with 18-fluorodeoxyglucose.
RESULTS: The study revealed that 71% of patients showed an increased level of anxiety, 64% showed signs of depression. Positron emission tomography data revealed the following areas of hypometabolism in patients with anxiety-depressive disorders: parietal cortex, inferior parietal lobule, precuneus, superior temporal gyrus, prefrontal cortex, posterior cingulate cortex.
CONCLUSION: Thus, typical zones of changes in glucose metabolism in patients with psycho emotional disorders have been identified, which makes it possible to improve the accuracy of diagnosing these conditions, as well as to develop the most effective ways to prevent and treat them.
Keywords
Full Text
BACKGROUND
The high prevalence and severe disabling consequences of radical breast cancer (BC) treatment represent a significant medical and social problem and make the study of this pathology urgent. One consequence is postmastectomy pain syndrome (PMPS), which occurs in >80% of patients [1].
The clinical picture of PMPS is represented by lymphocirculatory disorders, chronic pain syndrome, psycho-emotional disorders, restricted mobility in the shoulder joint on the side with surgical intervention, and cerebrovascular disorders. Among psycho-emotional disorders in women with PMPS, depressive and anxiety symptoms are the most common. PMPS has a pronounced negative effect on the daily activities and performance of women and reduces their quality of life [2]. A traumatic life experience, such as undergoing radical treatment of PMPS, is accompanied by agitation, insomnia, appetite loss, anxiety about death, generalized anxiety, and decreased mood. The above symptoms gradually disappear; however, in 25%–70% of women, anxiety and depression persist many years after treatment [3–5]. Remote chronic pain is diagnosed in 20%–60% of women treated for early-stage RA [6–7]. According to the International Association for the Study of Pain, pain as a psychosomatic sensation is an unpleasant sensory and emotional experience associated with actual or potential tissue damage or described in terms of such damage. Chronic pain is defined as maladaptive, lacking biological value, persisting beyond the expected healing period, not amenable to conventional treatment, and lasting >6 months. Recurrence is a specific feature of chronic pain, and anxiety and depression play important roles in its perception. The presence of chronic pain in women who underwent mastectomy is associated with anxiety and depressive symptoms [3, 7]. Psycho-emotional disorders lead to the patient’s limitation or rejection of the previous lifestyle, physical activity, and interests.
Studies of patients with depression using fluorine18glucose-labeled positron emission computed tomography (18F-FDG PET/CT) have revealed metabolic abnormalities in some specific brain regions, including the prefrontal, temporal, cingulate cortex, striatum, precuneus, and hippocampus [8–10]. These changes are explained by the hypothesis suggesting the presence of limbic–cortical–striatal–pallidal–thalamic connections in the brain. The disruption of the connections along with the dysfunction of the above-described brain areas can lead to the development of depression. The frontal lobe plays an important role in attention, perception, planning ability, goal-directed behavior, working memory, and executive function. Disturbances in this area can be responsible for the development of the majority of the symptoms of depression. Alterations in frontal lobe function likely underlie depression and are also closely associated with symptoms of major depressive disorder (MDD) [11]. The anterior cingulate cortex and corpus striatum are major components of the limbic system that play an important role in episodic memory functioning, emotion processing, and cognition. Most studies in patients with MDD have found hypometabolism in the striatum and anterior cingulate; however, data from the literature are often contradictory [11–14].
Current evidence suggests that patients with high anxiety levels have metabolic changes in the prefrontal cortex bilaterally (hypometabolism in most studies), hippocampus, caudate nucleus, shell (hypometabolism on the left), and amygdala (usually hypermetabolism). Other metabolic changes identified include hypometabolism in the orbitofrontal cortex, anterior cingulate cortex, and hypermetabolism in the insula (predominantly on the right) [15–17].
Thus, 18F-FDG PET/CT showed high sensitivity in detecting anxiety–depressive disorders and allowed the identification of metabolic mechanisms of their development. In addition, this method has great potential as a method of the preclinical diagnosis of psycho-emotional disorders.
Identification of the pathogenetic mechanisms and predictors of the development of psycho-emotional disorders in patients with the postmastectomy syndrome will make it possible to form strategies for the prevention and treatment of clinically significant anxiety and depression, which will allow for the reduction of the disabling consequences of BC treatment.
Thus, this study aimed to investigate the relationship between brain metabolism and cognitive impairment, psycho-emotional status, and quality of life in patients with postmastectomy syndrome.
MATERIALS AND METHODS
An open single-center study recruited 28 patients with postmastectomy syndrome who had previously undergone radical treatment for breast malignancy. The inclusion criteria were as follows: age 25–50 years (mean age, 45.8 years ± 3 months), history of radical treatment of BC (mastectomy, radiation, and/or chemotherapy), comprehensive examination to exclude metastasis, and continued tumor growth. The exclusion criteria were as follows: history of acute cerebral circulatory failure, myocardial infarction, craniocerebral trauma, advanced oncologic diseases, decompensation of chronic diseases, and psychiatric diseases. Most patients underwent radical Madden mastectomy (n = 22), sectoral resection (n = 4), and breast reconstruction (n = 2). Complex treatment (surgery, radiation, and chemotherapy) of BC was performed in 5 patients, a combination of surgical treatment and chemotherapy in 19, and a combination of radiation therapy and surgical intervention in 4. According to TNM classification of cancer stages, stage I (T1N0M0) was detected in 4 patients, IIA (T2N0M0) in 15, IIB (T2N1M0) in 3, IIIA (T0N2M0) in 4, and IIIB (T4N2M0) in 2.
The psycho-emotional state was assessed by collecting anamnesis (complaints during questioning) using Spielberger–Hanin and Zung scales for the self-assessment of depression.
The anxiety level was assessed using the Spielberger–Hanin State-Trait Anxiety Inventory scale, which is an informative way to self-assess anxiety level at the moment (reactive anxiety as a state) and personality anxiety (a stable characteristic of a person) [18]. Depression was assessed using the Zung scale, which has high sensitivity and specificity for the self-assessment of depression, while assessing the degree of depressive disorder in patients, and is used for depression screening [19].
18F-FDG PET/CT was performed to study the state of brain tissue metabolism. According to the degree of drug accumulation in the brain tissue, this method allows for identifying zones with normal metabolism, hypometabolism, and hypermetabolism, which allows the evaluation of the functional state of different parts of the brain.
Statistical analysis was performed using comparative analysis in the Statistica 10.0 program with the evaluation of nonparametric methods (Fisher’s exact criterion).
The study was performed in compliance with the principles of the Declaration of Helsinki of the World Medical Association and approved by the Ethical Committee of the Almazov National Medical Research Center of the Russian Ministry of Health (conclusion dated 31.10.2019). All patients received an explanation of the purpose of the study, and all of them gave informed consent.
RESULTS
According to the results of questionnaires, 20 out of 28 (71%) patients showed high anxiety levels and 18 out of 28 (64%) had signs of depression. A combination of anxious and depressive changes was detected in 10 (36%) patients (Table 1).
Table 1. Number and proportion of patients with psycho-emotional disorders | |||
Patient group under study | Anxiety | Depression | Combination of anxiety and depression |
Number of patients | 20 | 18 | 10 |
% of total | 71 | 64 | 36 |
Among patients with anxiety (n = 20), 14 (50% of all patients and 70% of patients with high anxiety) had hypometabolism in the parietal cortex, and 13 (46% of all patients and 65% of patients with high anxiety) had hypometabolism in the inferior parietal lobule (9 in both hemispheres and 4 in the left hemisphere). Hypometabolism in the precuneus was detected in 5 patients (3 on the right and 2 on both sides, which was 18% of all patients and 25% of patients with high anxiety levels). Hypometabolism in the superior temporal gyrus was detected in 4 patients (3 on the left and 1 bilaterally, which was 14% of all patients and 20% of patients with high anxiety levels). Hypometabolism in the prefrontal cortex was detected bilaterally in 2 patients, which was 7% of all patients and 10% of patients with high anxiety levels. Hypometabolism in the posterior cingulate cortex was detected in 2 patients, which was 7% of all patients and 10% of patients with high anxiety levels (Table 2).
Table 2. Zones of hypometabolism in patients with high anxiety levels | |||
Area of altered metabolism | Number of patients | % of total number of patients | % of patients with anxiety |
Dark crust | 14 | 50 | 70 |
Inferior parietal lobe | 13 | 46 | 65 |
Precuneus | 5 | 18 | 25 |
Upper temporal gyrus | 4 | 14 | 20 |
Prefrontal cortex | 2 | 7 | 10 |
Posterior cingulate cortex | 2 | 7 | 10 |
Among patients with depression (n = 18), 13 (46% of all patients and 72% of patients with depression) have hypometabolism in the parietal cortex (9 bilaterally and 4 on the left); among them, hypometabolism in the inferior parietal lobule was found in 11 (8 bilaterally and 3 on the left, representing 39% of all patients and 61% of patients with depression). Hypometabolism in the precuneus was detected in 6 patients (2 bilaterally and 4 on the right), representing 21% of all patients and 33% of patients with depression. Hypometabolism in the superior temporal gyrus was detected in 6 patients (4 on the left and 2 bilaterally), which was 21% of all patients and 33% of those with depression. Hypometabolism in the prefrontal cortex was detected in 4 patients (2 on the right, 1 bilaterally, and 1 on the left), which was 14% of all patients and 22% of those with depression. Hypometabolism in the posterior cingulate cortex was detected in 3 patients, which was 11% of all patients and 17% of patients with depression (Table 3).
Table 3. Zones of hypometabolism in patients with depression | |||
Area of altered metabolism | Number of patients | % of total number of patients | % of patients with depression |
Dark crust | 13 | 46 | 72 |
Inferior parietal lobe | 11 | 39 | 61 |
Precuneus | 6 | 21 | 33 |
Upper temporal gyrus | 6 | 21 | 33 |
Prefrontal cortex | 4 | 14 | 22 |
Posterior cingulate cortex | 3 | 11 | 17 |
When comparing the frequency of metabolic zone changes in patients with depression and anxiety using Fisher’s exact test, no statistically significant differences were found (p > 0.05). The lack of differences when comparing groups can be explained by small quantitative sampling.
DISCUSSION
The results revealed a high frequency of hypometabolism in the parietal cortex in patients with depression (50%) and anxiety (46%), particularly the inferior parietal lobe, accounting for 46% and 39%, respectively. The inferior parietal lobe is a hetero-modal convergence zone of different brain neuronal networks that play a central role in the realization of key cognitive operations at different levels of the neural processing hierarchy. These cognitive functions include lower- (spatial attention) and higher-level processes that are of greater importance in humans, such as semantic memory and social interaction. Changes in the metabolism of this brain region are not highly specific. Hypometabolism in this area in patients with depression and anxiety may reflect impaired social functioning, creating difficulties in understanding and interacting with others.
Hypometabolism in the precuneus was found predominantly in patients with depression (21% among all patients) and to a lesser extent in patients with anxiety (18%). The precuneus can be conceptualized as a brain region that provides access to the hippocampus for spatial and related information from the parietal cortex. Higher functional connectivity of the precuneus with the lateral orbitofrontal cortex has been studied in patients with depression. This supports the theory that in depression the reward rejection system in the lateral orbitofrontal cortex has a relatively enhanced interaction with areas that represent the inner self, including the precuneus, which may be associated with low self-esteem in patients with depression.
Another frequent finding is hypometabolism in the superior temporal gyrus (predominantly on the left) in patients with anxiety (14%) and depression (21%). In addition to the well-known function of audio information processing and participation in speech perception, this area of the cerebral cortex analyzes socially relevant information, being part of the “social brain” along with the inferior parietal lobe of the left hemisphere (e.g., determining gaze direction and body language). The altered metabolism of this area in depression is a common finding, which may be due to impaired recognition of socially relevant information.
Hypometabolism in the prefrontal cortex (predominantly bilateral) was observed in 7% of patients with anxiety and 14% with depression. The prefrontal cortex plays an important role in attention, perception, planning ability, goal-directed behavior, working memory, and executive function. Disturbances in this area may be responsible for the development of the majority of the symptoms of depression. Alterations in frontal lobe function may likely underlie depression and are closely associated with MDD symptoms, as evidenced by numerous studies.
In addition to the aforementioned changes, hypometabolism in the posterior cingulate cortex was noted in patients with anxiety and depression (7% and 11%, respectively). The posterior cingulate cortex is involved in topographic and topokinetic memory, i.e., orientation of the body in space. This area also plays a role in recognizing familiar faces and surroundings. The posterior cingulate cortex is part of the default mode network (i.e., the neural network of the brain that is most active outside of specific tasks) and is involved in the attention system. This network generates slow waves and synchronizes different parts of the brain (medial prefrontal cortex, posterior cingulate cortex, precuneus, inferior parietal cortex, etc.). As assumed, the disruption of the synchronization between different parts of the default mode network and stable generation of slow waves can lead to affective disorders, particularly anxiety spectrum disorders, because of the resulting hyperactivity of the amygdala body [20].
Despite the lack of significant correlations in the statistical analysis, the results of this study are consistent with the literature data.
CONCLUSION
Thus, the use of neuropsychological testing methods, careful assessment of complaints, and the use of PET/CT to assess brain metabolism can improve the diagnostic accuracy of psycho-emotional disorders in patients with postmastectomy syndrome. The use of specialized questionnaires and examination of brain tissue metabolism will make it possible to diagnose preclinical psycho-emotional disorders early. A significant proportion of patients with PMPS have affective disorders. Depression and anxiety occupy the leading positions in prevalence. Characteristic changes in brain metabolism are detected in the majority of patients with psycho-emotional disorders. This result opens the possibility for early objectivized diagnosis of psycho-emotional disorders and is of undoubted scientific interest for further research. Prompt and accurate diagnosis is a direct path to effective treatment.
ADDITIONAL INFORMATION
Funding. The research was performed with the financial support of the Ministry of Science and Higher Education of the Russian Federation and a grant from the Ministry of Education and Science of the Russian Federation 075-15-2020-901 for the creation and development of world-class scientific centers (Agreement No. 075-15-2022-301 of 2022).
Conflict of interest. The authors declared no conflict of interest.
Ethical review. The study was performed in compliance with the principles of the Declaration of Helsinki of the World Medical Association and approved by the Ethical Committee of Almazov National Medical Research Center (conclusion dated 31.10.2019).
Authors’ contribution. All authors contributed substantially to the study and article, read and approved the final version before publication.
About the authors
Albina M. Makhanova
Personalized Medicine Centre, Almazov National Medical Research Centre
Author for correspondence.
Email: a.mahanova.a@mail.ru
ORCID iD: 0000-0003-3188-1886
SPIN-code: 5451-6934
Scopus Author ID: 57423725500
ResearcherId: GRX-3020-2022
M.D., junior research fellow
Russian Federation, Saint PetersburgMaria L. Pospelova
Personalized Medicine Centre, Almazov National Medical Research Centre
Email: pospelovaml@mail.ru
ORCID iD: 0000-0003-3553-6537
SPIN-code: 1835-0074
Scopus Author ID: 57202465838
ResearcherId: ABI-4863-2020
M.D., D.Sc (Medicine), Professor
Russian Federation, Saint PetersburgDaria V. Ryzhkova
Personalized Medicine Centre, Almazov National Medical Research Centre
Email: d_ryjkova@mail.ru
ORCID iD: 0000-0002-7086-9153
SPIN-code: 7567-6920
Scopus Author ID: 6602541507
ResearcherId: C-5262-2018
M.D., D.Sc (Medicine), Professor
Russian Federation, Saint PetersburgTatiana M. Alexeeva
Personalized Medicine Centre, Almazov National Medical Research Centre
Email: atmspb@mail.ru
ORCID iD: 0000-0002-4441-1165
SPIN-code: 3219-2846
Scopus Author ID: 57200808136
ResearcherId: S-88062017
M.D., D.Sc (Medicine), Professor
Russian Federation, Saint PetersburgOlga V. Fionik
Personalized Medicine Centre, Almazov National Medical Research Centre
Email: fvolga@mail.ru
ORCID iD: 0000-0002-9730-1226
SPIN-code: 8133-4875
Scopus Author ID: 6503989626
M.D., D.Sc (Medicine), Professor
Russian Federation, Saint PetersburgVarvara V. Krasnikova
Personalized Medicine Centre, Almazov National Medical Research Centre
Email: samvelium@gmail.com
ORCID iD: 0000-0002-3261-8812
SPIN-code: 2870-8678
Scopus Author ID: 57189012524
ResearcherId: ABI-5158-2020
M.D., junior research fellow
Russian Federation, Saint PetersburgSamwel N. Tonyan
Personalized Medicine Centre, Almazov National Medical Research Centre
Email: samvelium@gmail.com
ORCID iD: 0000-0002-7475-1873
ResearcherId: GRX-5113-2022
M.D., Postgraduate Student, Neurology and Psychiatry Department
Russian Federation, Saint PetersburgAlexandra E. Nikolaeva
Personalized Medicine Centre, Almazov National Medical Research Centre
Email: shura.nicolaeva@yandex.ru
ORCID iD: 0000-0002-4550-1883
SPIN-code: 4103-9192
ResearcherId: GRX-9922-2022
M.D., laboratory assistant-researcher
Saint PetersburgTatyana A. Bukkieva
Personalized Medicine Centre, Almazov National Medical Research Centre
Email: tanya-book25@mail.ru
ORCID iD: 0000-0002-6779-0241
SPIN-code: 5833-3305
Scopus Author ID: 57210339683
ResearcherId: ABI-5143-2020
M.D., Postgraduate Student 3 years of the Radiation Diagnostics Dep.
Saint PetersburgEgor A. Mokin
Personalized Medicine Centre, Almazov National Medical Research Centre
Email: mokinegor49@gmail.com
ORCID iD: 0000-0002-8080-9955
SPIN-code: 6105-7916
Scopus Author ID: 57207300715
ResearcherId: GRX-6715-2022
M.D., intern at the Neurology and Psychiatry Department
Russian Federation, Saint PetersburgMark S. Voynov
Personalized Medicine Centre, Almazov National Medical Research Centre
Email: voynov.ms@gmail.com
ORCID iD: 0000-0002-5765-4289
ResearcherId: GRS-9470-2022
M.D., 5th year student
Russian Federation, Saint PetersburgMatvey I. Laptev
Personalized Medicine Centre, Almazov National Medical Research Centre
Email: matveylaptev2002@gmail.com
ORCID iD: 0000-0002-6749-4661
ResearcherId: GRX-0569-2022
M.D., 3rd year student
Russian Federation, Saint PetersburgEkaterina E. Vyalykh
Personalized Medicine Centre, Almazov National Medical Research Centre
Email: katya071201@gmail.com
ORCID iD: 0000-0002-8185-9807
ResearcherId: GRX-2816-2022
M.D., 4th year student
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